Flyers
GP: 82 | W: 50 | L: 29 | OTL: 3 | P: 103
GF: 273 | GA: 220 | PP%: 21.77% | PK%: 80.90%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 72
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Centre de jeu
Blue Jackets
23-52-7, 53pts
2
FINAL
3 Flyers
50-29-3, 103pts
Team Stats
L1StreakW4
11-26-4Home Record26-14-1
12-26-3Away Record24-15-2
2-7-1Last 10 Games8-2-0
2.46Goals Per Game3.33
3.61Goals Against Per Game2.68
12.92%Power Play Percentage21.77%
75.76%Penalty Kill Percentage80.90%
Flyers
50-29-3, 103pts
5
FINAL
1 Blackhawks
38-37-7, 83pts
Team Stats
W4StreakL1
26-14-1Home Record22-16-3
24-15-2Away Record16-21-4
8-2-0Last 10 Games2-7-1
3.33Goals Per Game2.83
2.68Goals Against Per Game3.35
21.77%Power Play Percentage19.54%
80.90%Penalty Kill Percentage73.68%
Meneurs d'équipe
Patrice BergeronButs
Patrice Bergeron
28
Cale MakarPasses
Cale Makar
56
Cale MakarPoints
Cale Makar
71
Andrei SvechnikovPlus/Moins
Andrei Svechnikov
30
Mike SmithVictoires
Mike Smith
41
Mike SmithPourcentage d’arrêts
Mike Smith
0.906

Statistiques d’équipe
Buts pour
273
3.33 GFG
Tirs pour
2700
32.93 Avg
Pourcentage en avantage numérique
21.8%
54 GF
Début de zone offensive
43.1%
Buts contre
220
2.68 GAA
Tirs contre
2257
27.52 Avg
Pourcentage en désavantage numérique
80.9%
51 GA
Début de la zone défensive
38.6%
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurDave Tippett
DivisionDivision Métropolitaine
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomWells Fargo Center
Capacité18,000
Assistance15,677
Billets de saison3,600


Information formation

Équipe Pro22
Équipe Mineure34
Limite contact 56 / 80
Espoirs69


Plafond salarial

Cap Salarial de la Saison estimé80,310,956$
Plafond salarial disponible2,189,044$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour98,345,671$
Dépenses annuelles à ce jour86,711,699$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel61,013,698$
Compte bancaire projeté61,013,698$


Historique d'équipe

Saison actuelle50-29-3 (103PTS)
Historique1161-878-206 (0.517%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)27-33
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mitchell Marner0XXX100.006234908569928886669384858968740757702526,300,000$
2Patrice Bergeron0X100.006535887476899480958179887991950757603737,200,000$
3John Tavares0X100.006636877380898377928479667984900757303227,225,000$
4Timo Meier0XX100.007736817981889077618081647768710757302665,000,000$
5Andrei Svechnikov0XX100.008639728378899580568179658263650757302226,200,000$
6Nick Schmaltz0XX100.005834927871888979768176637768730757102626,425,000$
7Kirby Dach0XX100.00633484788689837680736879756368075700211925,000$
8Ondrej Kase0XX100.005834927470837672597175776869700756902733,000,000$
9Nick Bonino0X100.005635846976869068856970876882750756903425,500,000$
10Scott Laughton0XX100.008539796975868970817167836771690756902843,300,000$
11Michael Rasmussen0XXX100.007839756794858968816768736663650756802311,700,000$
12Cale Makar0X100.00683489867094958030938377636469075760243925,000$
13Shea Weber0X100.00827581689291886930777681588693075730371750,000$
14Justin Faulk0X100.008337817377949075308073845879740757303045,300,000$
15Jacob Trouba0X100.008971727185938968307869885673690757102856,350,000$
16Bowen Byram (R)0X100.00773880757689787430776864586264075690212925,000$
17Adam Pelech0X100.006937866584929064307660895070680756802844,700,000$
18Brenden Dillon0X100.008975726490899260307658795280730756803222,300,000$
Rayé
1Frank Vatrano0XXX100.006634887172838770626875617271730756802832,000,000$
2Matt Benning0X100.00683982647887896230685780507168075650281950,000$
Équipe Mineure
1Gerry Mayhew0XX100.00703784676385836572637264687172075660302925,000$
2Brad Malone0XX100.00824286628483806375646566627478075660333950,000$
3Nicolas Aube-Kubel (R)0XX100.00834376667179836657656457656768075650262750,000$
4Wade Allison (R)0X100.00783882638185726561646759636567075650252925,000$
5Lukas Reichel (R)0XX100.00613692707082896865676465696162075650203950,000$
6Axel Jonsson-Fjallby (R)0XX100.00643791667583876258616362676566075640241925,000$
7Jack Studnicka (R)0X100.00653189637888816676686066636467075640231925,000$
8Adam Gaudette0X100.00603791647278856677646359666769075640262750,000$
9Rourke Chartier (R)0X100.00623693657291676468636063646668075630262925,000$
10William Lockwood (R)0X100.00823876606779815863596063596466075620242925,000$
11Brandon Baddock0X100.00858076568772815754585960566769075620273760,000$
12Travis Dermott0X100.00633887727684886830675864506769075650262750,000$
13Cameron Schilling0X100.00724570608173675930675763487476075630343800,000$
14Dylan McIlrath0X100.00878264579668915630555461457072075620303800,000$
15Doyle Somerby0X100.00887276569765815530575362456870075620283800,000$
16Nathan Walker0X100.00763891697084836759657264696870075670283750,000$
17Jack Quinn (R)0XX88.54593784717189716972687162726163075660212925,000$
18Kristian Reichel (R)0XX100.00623780576883735867596063596466075610242925,000$
19Jamieson Rees (R)0X100.00583776606778875966585755596163075600212925,000$
20Cameron Hillis (R)0X100.00553686576473665875596056576364075590222925,000$
21Dillon Hamaliuk (R)0X100.00723974548167725551565758536264075590223950,000$
22Kyle Topping (R)0X100.00563471596973755761615557596365075590233950,000$
23Kyle Burroughs0X100.00904772627384756030685569496667075640271800,000$
24Kaedan Korczak (R)0X100.00673382608479715930585666506163075610212925,000$
25Samuel Bolduc (R)0X100.00773982558968835530585660476264075610222925,000$
26Chris Bigras0X100.00673987597666715830575655466769075600273800,000$
27Max Gildon (R)0X100.00734087578269685630605457466365075600232925,000$
28Wyatte Wylie (R)0X100.00633887597269875630585556456365075600232925,000$
29Dawson Barteaux (R)0X100.00653892547462665630545355456264075580222925,000$
MOYENNE D’ÉQUIPE100.0072428373798988735777727767727307571
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mike Smith100.00968477939393949393949391940757804042,000,000$
2Philipp Grubauer100.00989188759696979696979678840757703112,600,000$
Rayé
Équipe Mineure
1Pheonix Copley100.0077747586747475747475747084075660302950,000$
2Daniil Tarasov (R)90.7376727092747475747475746369075660232925,000$
3Matthew Villalta (R)100.0072777876707071707071706369075630231850,000$
4Filip Lindberg100.0069666772676768676768676369075610233999,999$
5Rasmus Korhonen100.0066686688646465646465646063075600203999,999$
MOYENNE D’ÉQUIPE100.009788838495959695959695858907578
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett81858982918455CAN6116,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Cale MakarFlyersD821556711218066155167441128.98%84184422.5091322922340110114220.00%000000.7700000127
2Andrei SvechnikovFlyersLW/RW8226406630920263122286671889.09%5165920.2421315402220000405047.13%15700110.8036000763
3Justin FaulkFlyersD8122436511751520396137478316.06%95175621.6812820762150001177600.00%000000.7400030845
4Patrice BergeronFlyersC80283664260412082786118910.07%17159319.9231114411910000143157.39%187300000.8013000232
5John TavaresFlyersC8223376022175411731905615312.11%7148218.0931114311930000183255.58%187300000.8111001173
6Timo MeierFlyersLW/RW82123850758020985200541356.00%7161219.660121244193000020043.41%12900000.6200000322
7Mitchell MarnerFlyersC/LW/RW69232750-14180431583191021997.21%17138420.06561132155000241144.44%23400000.7215000233
8Kirby DachFlyersC/RW812029492880951421724611511.63%12116314.3601194400031075249.79%120300100.8402000423
9Nick SchmaltzFlyersC/RW8215334821802675170441308.82%1129215.76371030194000006347.01%11700000.7411000422
10Ondrej KaseFlyersLW/RW822123441612042792015814510.45%17140517.1410141500072412344.00%10000000.6300000344
11Jacob TroubaFlyersD801329428541013878115386711.30%96151018.888917661841011206100.00%000000.5600101152
12Shea WeberFlyersD77172340237951926498235317.35%94171722.317512341750002195400.00%000000.4700000513
13Adam PelechFlyersD7963137155010669151203111.76%102172521.840115370001207200.00%000000.4300110120
14Scott LaughtonFlyersC/LW821324372430017383175501317.43%15139417.0112394801131652148.46%13000000.5300000027
15Nick BoninoFlyersC826511-560191027422468.11%107649.3201131400072840150.41%109900000.2900000000
16Brenden DillonFlyersD794591399251083022131418.18%4797512.350000000001210.00%000000.1800004000
17Frank VatranoFlyersC/LW/RW74257-1601292913156.90%43765.08000060001270037.00%10000000.3700000100
18Bowen ByramFlyersD55033110022134490.00%223025.5000006000030000.00%000000.2000000011
19Michael RasmussenFlyersC/LW/RW551120120251311659.09%02083.79000000000300046.15%7800000.1900000010
20Matt BenningFlyersD10022320221120.00%3484.800000000002000.00%000000.8300000000
Statistiques d’équipe totales ou en moyenne14762674907572166607017861778270076918229.89%6552421816.41541001545162137123281872441752.70%709300210.63718246434747
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mike SmithFlyers70412030.9062.5537698216017100221.0009688320
2Philipp GrubauerFlyers249900.8942.93118620585450101.000101468100
Statistiques d’équipe totales ou en moyenne94502930.9032.64495510221822550321.000198276420


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam Pelech (contrat à 1 volet)FlyersD288/16/1994No205 Lbs6 ft3NoNoYes4Pro & Farm4,700,000$4,700,000$4,700,000$0$No4,700,000$4,700,000$4,700,000$Lien / Lien NHL
Andrei Svechnikov (contrat à 1 volet)FlyersLW/RW223/26/2000No195 Lbs6 ft2NoNoYes2Pro & Farm6,200,000$6,200,000$6,200,000$0$No6,200,000$Lien / Lien NHL
Bowen ByramFlyersD216/13/2001Yes190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$0$No925,000$Lien
Brenden Dillon (contrat à 1 volet)FlyersD3211/13/1990No220 Lbs6 ft4NoNoYes2Pro & Farm2,300,000$2,300,000$2,300,000$0$No2,300,000$Lien / Lien NHL
Cale MakarFlyersD2410/30/1998No187 Lbs5 ft11NoNoYes3Pro & Farm925,000$925,000$925,000$0$No8,885,000$8,885,000$Lien / Lien NHL
Frank Vatrano (contrat à 1 volet)FlyersC/LW/RW283/14/1994No197 Lbs5 ft11NoNoNo3Pro & Farm2,000,000$2,000,000$2,000,000$0$No2,000,000$2,000,000$Lien / Lien NHL
Jacob Trouba (contrat à 1 volet)FlyersD282/26/1994No208 Lbs6 ft3NoNoYes5Pro & Farm6,350,000$6,350,000$6,350,000$0$No6,350,000$6,350,000$6,350,000$6,350,000$Lien / Lien NHL
John Tavares (contrat à 1 volet)FlyersC329/20/1990No211 Lbs6 ft1NoNoYes2Pro & Farm7,225,000$7,225,000$7,225,000$0$No4,007,000$Lien / Lien NHL
Justin Faulk (contrat à 1 volet)FlyersD303/20/1992No214 Lbs6 ft0NoNoYes4Pro & Farm5,300,000$5,300,000$5,300,000$0$No5,300,000$5,300,000$5,300,000$Lien / Lien NHL
Kirby DachFlyersC/RW211/21/2001No197 Lbs6 ft4NoNoYes1Pro & Farm925,000$925,000$925,000$0$NoLien / Lien NHL
Matt BenningFlyersD285/25/1994No203 Lbs6 ft1NoNoYes1Pro & Farm950,000$950,000$950,000$0$NoLien / Lien NHL
Michael Rasmussen (contrat à 1 volet)FlyersC/LW/RW234/17/1999No210 Lbs6 ft6NoNoYes1Pro & Farm1,700,000$1,700,000$1,700,000$0$NoLien / Lien NHL
Mike Smith (contrat à 1 volet)FlyersG403/22/1982No220 Lbs6 ft5YesNoYes4Pro & Farm2,000,000$2,000,000$2,000,000$0$No2,000,000$2,000,000$2,000,000$Lien / Lien NHL
Mitchell Marner (contrat à 1 volet)FlyersC/LW/RW255/5/1997No172 Lbs6 ft0NoNoYes2Pro & Farm6,300,000$6,300,000$6,300,000$0$No6,300,000$Lien / Lien NHL
Nick Bonino (contrat à 1 volet)FlyersC344/20/1988No195 Lbs6 ft1NoNoYes2Pro & Farm5,500,000$5,500,000$5,500,000$0$No5,500,000$Lien / Lien NHL
Nick Schmaltz (contrat à 1 volet)FlyersC/RW262/23/1996No181 Lbs6 ft0NoNoYes2Pro & Farm6,425,000$6,425,000$6,425,000$0$No6,425,000$Lien / Lien NHL
Ondrej Kase (contrat à 1 volet)FlyersLW/RW2711/8/1995No187 Lbs6 ft0NoNoYes3Pro & Farm3,000,000$3,000,000$3,000,000$0$No1,746,000$1,746,000$Lien / Lien NHL
Patrice Bergeron (contrat à 1 volet)FlyersC377/24/1985No195 Lbs6 ft1NoNoYes3Pro & Farm7,200,000$7,200,000$7,200,000$0$No7,200,000$7,200,000$Lien / Lien NHL
Philipp Grubauer (contrat à 1 volet)FlyersG3111/25/1991No188 Lbs6 ft1NoNoYes1Pro & Farm2,600,000$2,600,000$2,600,000$0$NoLien / Lien NHL
Scott Laughton (contrat à 1 volet)FlyersC/LW285/30/1994No190 Lbs6 ft1NoNoYes4Pro & Farm3,300,000$3,300,000$3,300,000$0$No3,300,000$3,300,000$3,300,000$Lien / Lien NHL
Shea WeberFlyersD378/14/1985 3:16:57 AMNo230 Lbs6 ft4NoNoYes1Pro & Farm750,000$750,000$750,000$0$NoLien / Lien NHL
Timo Meier (contrat à 1 volet)FlyersLW/RW2610/8/1996No220 Lbs6 ft1NoNoYes6Pro & Farm5,000,000$5,000,000$5,000,000$0$No6,879,000$6,879,000$6,879,000$6,879,000$6,879,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2228.55201 Lbs6 ft22.643,707,955$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
81,575,000$80,017,000$48,360,000$28,529,000$13,229,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Bergeron
Marner
35122
2
Kase
Tavares
Meier
32023
3
Laughton
Dach
Schmaltz
23122
4
Rasmussen
Bonino
Meier
10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Faulk
35032
2
Weber
Pelech
33032
3
Trouba
Dillon
22122
4
Pelech
Weber
10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1
Svechnikov
Bergeron
Marner
60014
2
Meier
Tavares
Schmaltz
40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Faulk
60023
2
Weber
Trouba
40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1
Bonino
Laughton
60140
2
Dach
Kase
40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Pelech
Weber
60140
2
Trouba
Faulk
40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1
Bonino
60140
Trouba
Pelech
60122
2
Laughton
40140
Weber
Faulk
40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1
Bergeron
Svechnikov
60122
2
Dach
Kase
40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1
Makar
Trouba
60122
2
Faulk
Pelech
40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Svechnikov
Marner
Bergeron
Makar
Faulk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Laughton
Bonino
Marner
Pelech
Trouba
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marner
Meier
Svechnikov
Meier
Bergeron
Kase
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pelech
Faulk
Trouba
Faulk
Trouba
Faulk
Tirs de pénalité
Svechnikov
Marner
Bergeron
Meier
Schmaltz
Gardien
#1 :
Smith
#2 :
Grubauer
Lignes d’attaque personnalisées en prolongation
Marner
Bergeron
Svechnikov
Schmaltz
Meier
Tavares
Laughton
Dach
Bonino
Lignes de défense personnalisées en prolongation
Dillon
Faulk
Weber
Pelech
Trouba


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche211000005501010000034-11100000021120.5005914002300702423230571912436233.33%6183.33%01671302455.26%1389271251.22%678128352.84%533842132311
2Blackhawks220000001138110000006241100000051441.00011213200335077192434044138386233.33%4175.00%01671302455.26%1389271251.22%678128352.84%534041132412
3Blue Jackets411010101293210000107432010100055060.750121931005143139473154911132378911218.18%16381.25%01671302455.26%1389271251.22%678128352.84%1087986264925
4Blues2110000056-11010000026-41100000030320.50059140131106521202406361535500.00%4175.00%01671302455.26%1389271251.22%678128352.84%533841142412
5Bruins32000010198111100000091821000010107361.00019355400468110024383658626176212325.00%6183.33%01671302455.26%1389271251.22%678128352.84%805765223920
6Canadiens32001000166102200000012391000100043161.00016304601465112230424646923146011327.27%7357.14%01671302455.26%1389271251.22%678128352.84%815863203920
7Canucks21000100660110000003211000010034-130.7506101600231067271425169192246300.00%10190.00%01671302455.26%1389271251.22%678128352.84%432952142411
8Capitals42200000101002020000037-42200000073440.500102030100550148555439010731408712216.67%17194.12%01671302455.26%1389271251.22%678128352.84%1057483285025
9Coyotes22000000954110000004131100000054141.00091625004320751838190531320359333.33%5260.00%01671302455.26%1389271251.22%678128352.84%523841132513
10Devils421000101394210000109632110000043160.750132033006421125445324610840338514321.43%12375.00%01671302455.26%1389271251.22%678128352.84%996894285126
11Ducks2020000025-31010000023-11010000002-200.00024600002059211919056141641400.00%7185.71%01671302455.26%1389271251.22%678128352.84%483345142612
12Flames21100000550110000003211010000023-120.500510150050007431192404418848300.00%40100.00%01671302455.26%1389271251.22%678128352.84%503645132312
13Golden Knights20200000610-41010000036-31010000034-100.0006121800402067252121058156506233.33%30100.00%01671302455.26%1389271251.22%678128352.84%513643142412
14Hurricanes4220000014952200000011292020000037-440.500142741007340119325037012128279511218.18%9277.78%01671302455.26%1389271251.22%678128352.84%966893274925
15Islanders4210001013103211000005502100001085360.7501319320024611284054299122233510212216.67%14285.71%01671302455.26%1389271251.22%678128352.84%936297305326
16Jets211000007521010000023-11100000052320.500714210040306928152605211183613215.38%9277.78%01671302455.26%1389271251.22%678128352.84%543941152412
17Kings201000107701010000034-11000001043120.5007916003211732621237681414514125.00%7185.71%01671302455.26%1389271251.22%678128352.84%473250142714
18Kraken21001000633110000003121000100032141.00061218001311581914232551022526350.00%10280.00%01671302455.26%1389271251.22%678128352.84%503346142713
19Lightning31101000990100010005412110000045-140.66791726002511852822341752920807228.57%90100.00%01671302455.26%1389271251.22%678128352.84%704871213920
20Maple Leafs31200000770110000003122020000046-220.3337132000232010228363809129175816318.75%6266.67%01671302455.26%1389271251.22%678128352.84%714970213719
21Oilers22000000734110000003121100000042241.00071320003220712425220461119445120.00%30100.00%01671302455.26%1389271251.22%678128352.84%493547132211
22Panthers321000001192220000008351010000036-340.6671121320054208728342508527396610220.00%11463.64%01671302455.26%1389271251.22%678128352.84%735268213719
23Penguins31100100911-2110000003212010010069-330.50091726003150992526453912926617228.57%10280.00%01671302455.26%1389271251.22%678128352.84%795667193619
24Predators2020000059-41010000046-21010000013-200.0005611102210661823250551614359111.11%6183.33%01671302455.26%1389271251.22%678128352.84%543838152614
25Rangers3210000010912110000078-11100000031240.667101727004240812531250772322549222.22%11281.82%01671302455.26%1389271251.22%678128352.84%724970213718
26Red Wings321000001376211000008531100000052340.667132538002830973132340792031747342.86%12191.67%01671302455.26%1389271251.22%678128352.84%775465213719
27Sabres32000010853210000106421100000021161.000813210024111113235407763122646116.67%11190.91%01671302455.26%1389271251.22%678128352.84%765471193719
28Senators3100110010911000010023-12100100086250.8331019290071118836272419023296210220.00%12466.67%11671302455.26%1389271251.22%678128352.84%714872243718
29Sharks2020000038-51010000013-21010000025-300.00036900201050161618048151649300.00%8362.50%01671302455.26%1389271251.22%678128352.84%493343142612
30Stars2020000068-21010000023-11010000045-100.00061016002220481313220532335446233.33%10370.00%01671302455.26%1389271251.22%678128352.84%432949142612
31Wild22000000954110000005231100000043141.00091726001710802035250482416405120.00%8187.50%01671302455.26%1389271251.22%678128352.84%473247132512
Total8239290536027322053412214011301471074041171504230126113131030.6282734907632296887812270085590590355225765567017862485421.77%2675180.90%11671302455.26%1389271251.22%678128352.84%2064144918625831038526
_Since Last GM Reset8239290536027322053412214011301471074041171504230126113131030.6282734907632296887812270085590590355225765567017862485421.77%2675180.90%11671302455.26%1389271251.22%678128352.84%2064144918625831038526
_Vs Conference50251404250174127472515501130985840251090312076697700.7001743124861155575310163150556553045138841440910991553421.94%1633180.98%11671302455.26%1389271251.22%678128352.84%12588811143355634322
_Vs Division261290113081671413740002045341113550111036333330.6358113922010272030583926829925327737206220573761519.74%891583.15%01671302455.26%1389271251.22%678128352.84%655458594181329166

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82103W427349076327002257655670178622
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239295360273220
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122141130147107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117154230126113
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2485421.77%2675180.90%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
8559059035596887812
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
1671302455.26%1389271251.22%678128352.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2064144918625831038526


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2022-10-1312Devils4Flyers5BWXXSommaire du match
5 - 2022-10-1526Canucks2Flyers3BWSommaire du match
8 - 2022-10-1853Flyers3Lightning2AWSommaire du match
9 - 2022-10-1956Flyers3Panthers6ALSommaire du match
12 - 2022-10-2283Flyers1Predators3ALSommaire du match
13 - 2022-10-2391Sharks3Flyers1BLSommaire du match
17 - 2022-10-27112Panthers1Flyers3BWSommaire du match
19 - 2022-10-29132Hurricanes1Flyers6BWSommaire du match
22 - 2022-11-01149Flyers3Rangers1AWSommaire du match
23 - 2022-11-02159Flyers2Maple Leafs3ALSommaire du match
26 - 2022-11-05183Flyers3Senators2AWSommaire du match
29 - 2022-11-08199Blues6Flyers2BLSommaire du match
31 - 2022-11-10214Flyers3Blue Jackets2AWXSommaire du match
33 - 2022-11-12225Senators3Flyers2BLXSommaire du match
34 - 2022-11-13238Stars3Flyers2BLSommaire du match
36 - 2022-11-15250Flyers2Blue Jackets3ALSommaire du match
38 - 2022-11-17265Flyers4Bruins2AWSommaire du match
40 - 2022-11-19281Flyers4Canadiens3AWXSommaire du match
42 - 2022-11-21292Flames2Flyers3BWSommaire du match
44 - 2022-11-23312Flyers4Capitals2AWSommaire du match
46 - 2022-11-25324Penguins2Flyers3BWSommaire du match
47 - 2022-11-26337Flyers5Islanders4AWXXSommaire du match
50 - 2022-11-29353Islanders1Flyers2BWSommaire du match
52 - 2022-12-01367Lightning4Flyers5BWXSommaire du match
54 - 2022-12-03382Devils2Flyers4BWSommaire du match
56 - 2022-12-05397Avalanche4Flyers3BLSommaire du match
58 - 2022-12-07413Capitals3Flyers1BLSommaire du match
60 - 2022-12-09432Flyers3Golden Knights4ALSommaire du match
62 - 2022-12-11445Flyers5Coyotes4AWSommaire du match
64 - 2022-12-13464Flyers2Avalanche1AWSommaire du match
66 - 2022-12-15473Flyers3Devils1AWSommaire du match
68 - 2022-12-17489Rangers4Flyers5BWSommaire du match
71 - 2022-12-20510Blue Jackets2Flyers4BWSommaire du match
73 - 2022-12-22525Flyers2Maple Leafs3ALSommaire du match
74 - 2022-12-23535Flyers1Hurricanes4ALSommaire du match
80 - 2022-12-29573Flyers2Sharks5ALSommaire du match
82 - 2022-12-31580Flyers4Kings3AWXXSommaire du match
84 - 2023-01-02597Flyers0Ducks2ALSommaire du match
87 - 2023-01-05612Coyotes1Flyers4BWSommaire du match
90 - 2023-01-08643Maple Leafs1Flyers3BWSommaire du match
93 - 2023-01-11659Capitals4Flyers2BLSommaire du match
96 - 2023-01-14681Flyers3Capitals1AWSommaire du match
98 - 2023-01-16695Flyers6Bruins5AWXXSommaire du match
99 - 2023-01-17705Ducks3Flyers2BLSommaire du match
101 - 2023-01-19719Blackhawks2Flyers6BWSommaire du match
103 - 2023-01-21735Flyers5Red Wings2AWSommaire du match
104 - 2023-01-22749Jets3Flyers2BLSommaire du match
106 - 2023-01-24757Kings4Flyers3BLSommaire du match
108 - 2023-01-26779Flyers4Wild3AWSommaire du match
110 - 2023-01-28790Flyers5Jets2AWSommaire du match
119 - 2023-02-06807Islanders4Flyers3BLSommaire du match
122 - 2023-02-09822Oilers1Flyers3BWSommaire du match
124 - 2023-02-11836Predators6Flyers4BLSommaire du match
125 - 2023-02-12848Kraken1Flyers3BWSommaire du match
129 - 2023-02-16876Flyers3Kraken2AWXSommaire du match
131 - 2023-02-18890Flyers3Canucks4ALXSommaire du match
133 - 2023-02-20905Flyers2Flames3ALSommaire du match
134 - 2023-02-21916Flyers4Oilers2AWSommaire du match
137 - 2023-02-24932Canadiens3Flyers6BWSommaire du match
138 - 2023-02-25941Flyers1Devils2ALSommaire du match
142 - 2023-03-01968Rangers4Flyers2BLSommaire du match
145 - 2023-03-04990Flyers2Sabres1AWSommaire du match
146 - 2023-03-051003Red Wings3Flyers7BWSommaire du match
148 - 2023-03-071014Flyers1Lightning3ALSommaire du match
150 - 2023-03-091030Flyers2Hurricanes3ALSommaire du match
152 - 2023-03-111039Flyers4Penguins5ALXSommaire du match
155 - 2023-03-141066Golden Knights6Flyers3BLSommaire du match
158 - 2023-03-171091Sabres2Flyers3BWSommaire du match
159 - 2023-03-181099Hurricanes1Flyers5BWSommaire du match
162 - 2023-03-211122Panthers2Flyers5BWSommaire du match
164 - 2023-03-231136Wild2Flyers5BWSommaire du match
166 - 2023-03-251150Red Wings2Flyers1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169 - 2023-03-281177Canadiens0Flyers6BWSommaire du match
171 - 2023-03-301193Flyers5Senators4AWXSommaire du match
173 - 2023-04-011206Sabres2Flyers3BWXXSommaire du match
174 - 2023-04-021221Flyers2Penguins4ALSommaire du match
176 - 2023-04-041234Flyers3Blues0AWSommaire du match
178 - 2023-04-061252Flyers4Stars5ALSommaire du match
180 - 2023-04-081268Flyers3Islanders1AWSommaire du match
181 - 2023-04-091273Bruins1Flyers9BWSommaire du match
183 - 2023-04-111287Blue Jackets2Flyers3BWXXSommaire du match
185 - 2023-04-131306Flyers5Blackhawks1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité57504750375027501000
Prix des billets1251007550300
Assistance224,106161,798120,146105,56031,142
Attendance PCT95.06%83.08%78.14%93.62%75.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 15677 - 87.09% 2,398,675$98,345,671$1800095

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
86,711,699$ 81,575,000$ 81,575,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
440,946$ 80,310,956$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 473,378$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 61,013,698$ 61,013,698$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
80,310,956$ 2,189,044$ 82,500,000$ 19,310,956$

Retained Salary
Player2022-20232023-20242024-20252025-20262026-2027
Total0$0$0$0$0$

Retained Buyout
Player2022-20232023-20242024-20252025-20262026-2027
Total0$0$0$0$0$



Charte de profondeur

Ailier gaucheCentreAilier droit
Mitchell MarnerAGE:25PO:0OV:77
Timo MeierAGE:26PO:0OV:73
Andrei SvechnikovAGE:22PO:0OV:73
Ondrej KaseAGE:27PO:0OV:69
Scott LaughtonAGE:28PO:0OV:69
Frank VatranoAGE:28PO:0OV:68
Michael RasmussenAGE:23PO:0OV:68
Nathan WalkerAGE:28PO:0OV:67
Jack Quinn (R)AGE:21PO:0OV:66
Brad MaloneAGE:33PO:0OV:66
Lukas Reichel (R)AGE:20PO:0OV:65
Axel Jonsson-Fjallby (R)AGE:24PO:0OV:64
Brandon BaddockAGE:27PO:0OV:62
Dillon Hamaliuk (R)AGE:22PO:0OV:59
Mitchell MarnerAGE:25PO:0OV:77
Patrice BergeronAGE:37PO:0OV:76
John TavaresAGE:32PO:0OV:73
Nick SchmaltzAGE:26PO:0OV:71
Kirby DachAGE:21PO:0OV:70
Nick BoninoAGE:34PO:0OV:69
Scott LaughtonAGE:28PO:0OV:69
Frank VatranoAGE:28PO:0OV:68
Michael RasmussenAGE:23PO:0OV:68
Gerry MayhewAGE:30PO:0OV:66
Brad MaloneAGE:33PO:0OV:66
Nicolas Aube-Kubel (R)AGE:26PO:0OV:65
Jack Studnicka (R)AGE:23PO:0OV:64
Adam GaudetteAGE:26PO:0OV:64
Rourke Chartier (R)AGE:26PO:0OV:63
Kristian Reichel (R)AGE:24PO:0OV:61
Jamieson Rees (R)AGE:21PO:0OV:60
Cameron Hillis (R)AGE:22PO:0OV:59
Kyle Topping (R)AGE:23PO:0OV:59
Mitchell MarnerAGE:25PO:0OV:77
Timo MeierAGE:26PO:0OV:73
Andrei SvechnikovAGE:22PO:0OV:73
Nick SchmaltzAGE:26PO:0OV:71
Kirby DachAGE:21PO:0OV:70
Ondrej KaseAGE:27PO:0OV:69
Frank VatranoAGE:28PO:0OV:68
Michael RasmussenAGE:23PO:0OV:68
Gerry MayhewAGE:30PO:0OV:66
Jack Quinn (R)AGE:21PO:0OV:66
Nicolas Aube-Kubel (R)AGE:26PO:0OV:65
Wade Allison (R)AGE:25PO:0OV:65
Lukas Reichel (R)AGE:20PO:0OV:65
Axel Jonsson-Fjallby (R)AGE:24PO:0OV:64
William Lockwood (R)AGE:24PO:0OV:62
Kristian Reichel (R)AGE:24PO:0OV:61

Défense #1Défense #2Gardien
Cale MakarAGE:24PO:0OV:76
Shea WeberAGE:37PO:0OV:73
Justin FaulkAGE:30PO:0OV:73
Jacob TroubaAGE:28PO:0OV:71
Bowen Byram (R)AGE:21PO:0OV:69
Adam PelechAGE:28PO:0OV:68
Brenden DillonAGE:32PO:0OV:68
Matt BenningAGE:28PO:0OV:65
Travis DermottAGE:26PO:0OV:65
Kyle BurroughsAGE:27PO:0OV:64
Cameron SchillingAGE:34PO:0OV:63
Dylan McIlrathAGE:30PO:0OV:62
Doyle SomerbyAGE:28PO:0OV:62
Kaedan Korczak (R)AGE:21PO:0OV:61
Samuel Bolduc (R)AGE:22PO:0OV:61
Chris BigrasAGE:27PO:0OV:60
Max Gildon (R)AGE:23PO:0OV:60
Wyatte Wylie (R)AGE:23PO:0OV:60
Dawson Barteaux (R)AGE:22PO:0OV:58
Mike SmithAGE:40PO:0OV:78
Philipp GrubauerAGE:31PO:0OV:77
Pheonix CopleyAGE:30PO:0OV:66
Daniil Tarasov (R)AGE:23PO:0OV:66
Matthew Villalta (R)AGE:23PO:0OV:63
Filip LindbergAGE:23PO:0OV:61
Rasmus KorhonenAGE:20PO:0OV:60

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Adam SykoraFlyers2022104
Adam TambelliniFlyersLien
Adam WilsbyFlyers22197
Alan LyszczarczykFlyers
Albert JohanssonFlyers2173
Albin ErikssonFlyers2070
Alexander DergachyovFlyers
Alexander SuvorovFlyers23233
Arvid EljasFlyers23201
Ben MirageasFlyers
Benjamin BaumgartnerFlyers22214
Brandon KozunFlyers
Brendan BudyFlyers20203
Brennan AliFlyers2022213
Brent JohnsonFlyers2373
Colby AmbrosioFlyers22125
Colin GreeningFlyersLien
Danil GushchinFlyers2268
Danila ZhuravlyovFlyers20165
Danill MisyulFlyers21103
Denis SmirnovFlyers
Dmitri OvchinnikovFlyers22104
Drew ShoreFlyers
Dylan GarandFlyers22135
Elias Pettersson (P)Flyers
Elias StenmanFlyers23187
Felix GirardFlyersLien
Gregory ChaseFlyers
Gustav KarlssonFlyers2022255
Ivan ChekhovichFlyersLien
Jake BischoffFlyersLien
Jeremy SmithFlyersLien
Jesper MyrenbergFlyers20233
Jiri TichacekFlyers2398
Jonny TychonickFlyers2041
Jordan GustafsonFlyers2022106
Karl HenrikssonFlyers2186
Kirill MarchenkoFlyers2067
Linus NymanFlyers
Loik LeveilleFlyers
Lukas GustafssonFlyers23169
Marat KhusnutdinovFlyers2242
Marcus KallionkieliFlyers21132
Marko StachaFlyers22228
Martin JohnsenFlyers2022245
Matheson IacopelliFlyersLien
Matthew StruthersFlyers20227
Mitchell MillerFlyers2294
Nando EggenbergerFlyers20123
Owen Van SteenselFlyers2022223
Parker FordFlyers22205
Patrick CehlinFlyers
Patrik VirtaFlyers20226
Petteri LindbohmFlyers
Rory KerinsFlyers22145
Ryan BourqueFlyersLien
Ryann O'ReillyFlyers
Sami VatanenFlyersLien
Samuel KnazkoFlyers22105
Scott WalfordFlyers
Sean TschigerlFlyers2386
Servac PetrovskyFlyers2022127
Stefan ElliottFlyersLien
Stephen DhillonFlyers
Tobias LindbergFlyersLien
Toni UtunenFlyers20217
Tyler SoyFlyers
Veeti MiettinenFlyers2291
Vladimir GrudininFlyers202246

Choix au repêchage

Année R1R2R3R4R5R6R7R8
2023
2024
2025
2026
2027









[4/13/2023 11:10:50 AM] Timo Meier from Flyers is back from Sore Right Knee Injury.
[4/13/2023 11:10:47 AM] Game 1306 - Timo Meier from Flyers is injured (Sore Right Knee) and is out for the game.
[4/11/2023 11:06:35 AM] Game 1287 - Jack Quinn from Phantoms is injured (Lacerated Right Calf) and is out for 1 week.
[4/9/2023 8:23:28 AM] Game 1273 - Daniil Tarasov from Phantoms is injured (Head) and is out for 1 week.
[4/7/2023 5:44:54 PM] Successfully loaded Flyers lines done with STHS Client - 3.3.5.5
[4/5/2023 11:03:55 AM] Successfully loaded Flyers lines done with STHS Client - 3.3.5.5
[4/4/2023 11:19:32 AM] Auto Lines Partial Function has been run for Flyers.
[4/4/2023 11:19:32 AM] Auto Roster Partial Function has been run for Flyers.
[4/3/2023 11:15:45 AM] Andrei Svechnikov from Flyers is back from Exhaustion.
[4/2/2023 8:26:49 AM] Farm Game #1221 - Jack Quinn from Phantoms has scored a Hat Trick!
[4/2/2023 8:26:48 AM] Andrei Svechnikov from Flyers is injured from Exhaustion.
[4/2/2023 8:26:43 AM] Auto Lines Partial Function has been run for Flyers.
[4/2/2023 8:26:43 AM] Auto Roster Partial Function has been run for Flyers.
[4/1/2023 7:26:34 AM] Auto Lines Partial Function has been run for Flyers.
[4/1/2023 7:26:34 AM] Auto Roster Partial Function has been run for Flyers.
[3/30/2023 11:03:22 AM] Auto Lines Partial Function has been run for Flyers.
[3/30/2023 11:03:22 AM] Auto Roster Partial Function has been run for Flyers.
[3/29/2023 11:07:11 AM] Nathan Walker from Phantoms is back from Bruised Left Foot Injury.
[3/28/2023 11:20:16 AM] Kyle Burroughs from Phantoms is back from Bruised Left Leg Injury.
[3/28/2023 11:20:14 AM] Game 1177 - Kyle Burroughs from Phantoms is injured (Bruised Left Leg) and is out for 2 days.
[3/28/2023 11:20:06 AM] Auto Lines Partial Function has been run for Flyers.
[3/28/2023 11:20:06 AM] Auto Roster Partial Function has been run for Flyers.



Daniil Tarasov est dehors pour 1 jours à cause de Head Injury.
Jack Quinn est dehors pour 2 jours à cause de Lacerated Right Calf Injury.



Flyers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Mitchell Marner70723231386870991694552437163272959610.92%171114315520.2442161210333577181821050625136.16%30.99164423
2Cale Makar679275549395694-632294835310752108596.95%671015803923.2725613151571595401182167830.00%00.7200
3Timo Meier6805207027424812187066832054171001779211.63%26312469218.324959161411384100022488334.15%10.77162411
4Nick Schmaltz68051640305546951391172117086611542310.63%65712380118.1940974611552965000822508553.63%00.7682407
5Andrei Svechnikov6888224121964437119370992506776791868811.99%33514608821.213342686023511000033124536.84%10.6186334

Flyers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Philipp Grubauer5351309215565930.9082.66316069666250140321532792282501670.7391944
2Antti Raanta18175008243260.8893.22101345324825442490780100.506330
3Jaroslav Halak22712475240.9162.6813302354595705630881570.750116
4Jonas Hiller1407048190.9152.6283224036442631788650.70872
5Mike Smith141675580.9042.757774104356371967250.73126

Flyers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
582363501145264262241172001012122129-74119150013314213398826444971325066979624590765858811261394398716972757025.45%2946876.87%7844166250.78%892175450.86%695142648.74%167189018958591560783
682313605253243244-1411712041521221041841142401101121140-198724340164420065947425530755888879256481092017202414819.92%2986478.52%9884182348.49%1042202451.48%658134049.10%1734972378117011517746
782253701379203230-2741141600236109117-84111210114394113-197820332853100039817523580682814829241185199617912263415.04%3156978.10%5910181850.06%969191150.71%648131449.32%175597017077731544759
882293603077216231-154112200204395110-154117160103412112108521634155741049857224660788887770248883893316472595119.69%3045581.91%3998197350.58%1043207750.22%573115549.61%171895317557861521744
9823130023610242250-841151601243112122-1041161401127130128291242383625300588492264507579259392506752106116812744717.15%3335583.48%31041211949.13%1034202651.04%609121750.04%174297117487811516737
1082402702436243207364121150012211310013411912023141301072310024339964233066868625980806921853259876699616152614818.39%3436680.76%71000196250.97%1092213851.08%558113849.03%169193817607931527741
11822733043872262233411513032531171001741122001134109123-148822636859413064886225830809913832258583688816572755319.27%3766383.24%6957201347.54%1001213946.80%570117348.59%173696617847961489722
128236310128425424014412112011421401083241151900142114132-189625442567910063869627770957930868265692491416543155216.51%3458575.36%51033213648.36%995209747.45%588122348.08%1777101217587641449717
1382322904494254253141181402151131129241141502343123124-19825441066432051949626290833883887262287486717582435522.63%3746981.55%9928196647.20%998201249.60%554116847.43%175399117847691463709
14823124026127238232641131401382116120-4411810013451221121010323837961731055759425490824844850259287462016013006220.67%2524482.54%31027198151.84%958197348.56%631116754.07%173093817747781523772
15823723061123252217354119120315111710314411811030721351142111425240565712058948227340855927917270391650316182745620.44%2263783.63%41023207049.42%970194649.85%623122151.02%174499517957571464730
1682323004655241253-1241131803331116127-1141191201324125126-19324142466513075847323770741813793251777255415762203616.36%1913581.68%31342272249.30%1423280950.66%626128548.72%1885131320645981039506
1786363302447260261-1432014002431361241243161902204124137-139526046372323095926727330905909892249074943116952434217.28%1834277.05%31607312551.42%1447279251.83%698136751.06%2082146120546151091541
1882314201224218254-3641162001112106116-1041152200112112138-267421839060843085735724440820823786243675046615562093516.75%1783182.58%11471275553.39%1341265850.45%670126852.84%1944135819945731018511
19822835023410234277-4341151801223115139-2441131701127119138-198123441564941086796323370781799736256976348015902003115.50%2123185.38%01282268547.75%1301281246.27%648133548.54%1905132820565921032510
2082224203573180241-614111200224286112-264111220133194129-357218031449415062555320650680685675249374569417452623714.12%2735280.95%01246252249.41%1367288747.35%603118750.80%1926132920056071054516
2182293602654224236-124116180112312511964113180153199117-188222439561902083676721770692704753235473876318282995016.72%2996279.26%11236268945.97%1273269847.18%599127646.94%1930132620066101043517
2282343802422241237441162002210119121-24118180021212211668224142166215087807023070739775779234667263717933065517.97%2595877.61%11394278150.13%1293270647.78%628128848.76%1993138219205951038524
2382362803843265236294116150142312712524120130242013811127972654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
2382362803843265236294116150142312712524120130242013811127972654767412398907013249884377984954240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
23823628038432652362941161501423127125241201302420138111279726547674123098907024980843779849240764456617652895217.99%2485079.84%31455285051.05%1475282252.27%648126251.35%2044143818925951035525
20228239290536027322053412214011301471074041171504230126113131032734907632296887812270085590590355225765567017862485421.77%2675180.90%11671302455.26%1389271251.22%678128352.84%2064144918625831038526
Total Saison régulière230093087807913415212768916692199115045544103864846833873332551150475437041706859350433601442583689111884187755668292216123421903699732541225532335220955694632102419474478937531138418.38%7554148780.32%98349896947650.36%351036956950.46%176893518950.27%531853449454547196953425117051
Séries éliminatoires
640400000615-92020000037-42020000038-5069150003211240404935133384254300.00%19668.42%05210052.00%439346.24%366258.06%8044387117387034
9734000001520-53120000048-4422000001112-161524391003471830645265211727711624520.83%32584.38%09317553.14%7916946.75%459746.39%137691617113767
10514000001215-331200000910-12020000035-221217290003721640644452167645110618316.67%17288.24%16213147.33%6312550.40%226434.38%9852116488944
12954000002526-1431000001385523000001218-6102536610002139278087110802829713821836411.11%451273.33%112426147.51%8521040.48%5812546.40%1871041978416076
1340400000616-102020000036-320200000310-706915000231121038423812124738015320.00%34585.29%05510253.92%5110349.51%305356.60%814289417233
14624000001719-231200000911-231200000880417294600073716806337662166172100321031.25%27485.19%07614851.35%8617549.14%428251.22%116581386011358
15514000001117-631200000810-22020000037-42112031000443165049426416569489321314.29%17382.35%06913850.00%5312044.17%356851.47%11363108478945
232015500000654520963000002820811920000037251230651161810202125166170185215201572161140485781721.79%661084.85%136072849.45%36975648.81%15229451.70%484335488150258131
Total Séries éliminatoires60273300000157173-16291316000007780-3311417000008093-135415726041712045614618200590591601186758664112522274519.82%2574781.71%3891178349.97%829175147.34%42084549.70%129877051702243991491

Flyers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Mitchell Marner2012112310044610711.21%445922.992352000002141.03%01.0000
2Cale Makar2051318482736559.09%1546323.17448280000110.00%00.7800
3Gabriel Landeskog1910818-41238296116.39%839520.8164101400013141.03%10.9100
4John Tavares20612181145445311.32%239619.84055800002056.68%00.9100
5Andrei Svechnikov20581311168026549.26%140720.402461400002033.33%00.6400

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Philipp Grubauer2115500.9172.37121702485776100.0000
2Jaroslav Halak135710.9022.987660038387179100.0000
3Jonas Hiller124530.9102.767380034377176010.0000
4Josh Harding62210.9192.79344001619879000.0000
5Carter Hutton51220.8973.29310001716580000.0000