Phantoms
GP: 7 | W: 3 | L: 4
GF: 16 | GA: 23 | PP%: 9.52% | PK%: 90.91%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Phantoms
3-4-0, 6pts
3
FINAL
2 Penguins
11-9-0, 22pts
Team Stats
L1StreakL2
2-2-0Home Record5-4-0
1-2-0Away Record6-5-0
3-4-0Last 10 Games5-5-0
2.29Buts par match 3.15
3.29Buts contre par match 3.20
9.52%Pourcentage en avantage numérique16.67%
90.91%Pourcentage en désavantage numérique80.65%
Penguins
11-9-0, 22pts
4
FINAL
2 Phantoms
3-4-0, 6pts
Team Stats
L2StreakL1
5-4-0Home Record2-2-0
6-5-0Away Record1-2-0
5-5-0Last 10 Games3-4-0
3.15Buts par match 2.29
3.20Buts contre par match 3.29
16.67%Pourcentage en avantage numérique9.52%
80.65%Pourcentage en désavantage numérique90.91%
Meneurs d'équipe
Pheonix CopleyVictoires
Pheonix Copley
3
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.906

Statistiques d’équipe
Buts pour
16
2.29 GFG
Tirs pour
222
31.71 Avg
Pourcentage en avantage numérique
9.5%
2 GF
Début de zone offensive
44.0%
Buts contre
23
3.29 GAA
Tirs contre
217
31.00 Avg
Pourcentage en désavantage numérique
90.9%
2 GA
Début de la zone défensive
38.7%
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurLindy Ruff
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 80
Espoirs58


Historique d'équipe

Saison actuelle3-4
Historique49-27-13 (0.551%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)3-4
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
1Cody Glass0X100.00563594728579827180686663736467075670222925,000$
2Wade Allison (R)0X100.00803691688179776758666965646765075670243925,000$
3Nicolas Aube-Kubel0X100.00884476697087836657686459676966075660251700,000$
4Michael Rasmussen0XXX100.00836279649883716675686266646365075660221850,000$
5Gerald Mayhew0XX100.00683594666273746668646665667772075650293925,000$
6Jack Studnicka0X100.00583587667286856573666268656362075640222925,000$
7Nathan Walker0X100.00793985646783716559616658647367075640271750,000$
8Kevin Roy0X100.00553986636485906368656157627568075630281950,000$
9Axel Jonsson-Fjallby0X100.00593590626883886055586359646663075620232925,000$
10Jack Quinn (R)0X100.00623582667281766358645956656159075620203925,000$
11Kristian Reichel0X100.00593986616873785956586057596566075610233925,000$
12Alex Biega0X100.008739867072827863306658675382730756603311,775,000$
13Bowen Byram (R)0X100.00805668757786827230685566536267075660203925,000$
14Matt Benning0X100.00786285667885906430675673487367075660272950,000$
15Travis Dermott0X100.00753383727583876530686266526966075660251834,100$
16Jake Bischoff0X100.00725471657584786230605762507370075630271800,000$
17Max Gildon (R)0X100.00733872608278835930675361476362075620223925,000$
18Samuel Bolduc (R)0X100.00826986578970755830605962496163075620213925,000$
Rayé
1Drew Shore (R)0X100.00614384588273775770595862597865075610303925,000$
2Ivan Chekhovich0XX100.00503595636780746456625960646362075610222925,000$
3William Lockwood (R)0X100.00814371576776715855596061586563075610233925,000$
4Rourke Chartier (R)0X100.00613593577074795863565459556965075600253925,000$
5Cameron Hillis (R)0X100.00623593576874695862555652576163075590213925,000$
6Ryan Bourque0X100.00573689566685905455525653577870075590303925,000$
7Jamieson Rees (R)0X100.00586160586775805870566155586062075590203925,000$
8Matthew Struthers (R)0X100.00703682547965705356525557546362075580223925,000$
9Kyle Burroughs0X100.00725471597372735830615662487166075610262800,000$
10Kaedan Korczak (R)0X100.00735175598260655830565157456060075590203925,000$
11Wyatte Wylie (R)0X100.00634284577267725830595355466362075590223925,000$
12Dawson Barteaux (R)0X100.00653593567471765430525355476163075580213925,000$
13Brayden Pachal0X100.007056695473768152305653605163620755802221,000,000$
MOYENNE D’ÉQUIPE100.0069438362747878615061596157676507562
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
1Pheonix Copley100.0074878586737274737274737783075660293950,000$
2Matt Villalta (R)100.0069737176686769686769686165075610222850,000$
Rayé
1Dylan Garand (R)100.0062757970616062616062616264075570193925,000$
MOYENNE D’ÉQUIPE100.006878787767666867666867677107561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff76788179928553CAN612900,000$


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
1Bowen ByramPhantoms (PHI)D7145-460141016456.25%2214520.800221019000017100.00%000000.6900000002
2Jack StudnickaPhantoms (PHI)C7325-5204172371013.04%113118.85000718000001053.94%16500000.7600000001
3Nicolas Aube-KubelPhantoms (PHI)RW7145-3202110162146.25%112918.550113140001120041.67%1200000.7700000000
4Kevin RoyPhantoms (PHI)LW722440016182511.11%111115.9400000000000046.60%10300000.7200000000
5Nathan WalkerPhantoms (PHI)LW722446017131351515.38%010414.9700000000021040.00%500000.7600000100
6Matt BenningPhantoms (PHI)D7044-600101112350.00%917124.45000718000019000.00%000000.4700000000
7Jack QuinnPhantoms (PHI)RW703342068116110.00%010715.3000000000160030.00%1000000.5600000000
8Wade AllisonPhantoms (PHI)RW7213-6201210233218.70%115922.710003190000230053.85%1300000.3800000020
9Travis DermottPhantoms (PHI)D7123-42097114109.09%1414821.24112519000019000.00%000000.4000000000
10Gerald MayhewPhantoms (PHI)LW/RW7112-50056197115.26%113118.83000518000000042.86%700000.3000000000
11Michael RasmussenPhantoms (PHI)C/LW/RW7112-6100255116199.09%014721.060002190000110046.67%1500000.2700000000
12Jake BischoffPhantoms (PHI)D71123609884312.50%89914.240000000000000.00%000000.4000000010
13Alex BiegaPhantoms (PHI)D7011-5201657480.00%915321.97000418000018000.00%000000.1300000000
14Kristian ReichelPhantoms (PHI)RW7101-20010100100.00%0182.5710113000000075.00%400001.1100000000
15Cody GlassPhantoms (PHI)C7011-600318283200.00%117024.400003190003240052.76%25400000.1200000000
16Max GildonPhantoms (PHI)D70113201541010.00%510314.750000000004000.00%000000.1900000000
17Axel Jonsson-FjallbyPhantoms (PHI)RW7000020003000.00%0131.960000000000000.00%100000.0000000000
18Samuel BolducPhantoms (PHI)D7000-100011110.00%0213.140000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne126163046-35440168139222611597.21%73207016.432465019000051613051.10%58900000.4400000133
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
1Pheonix CopleyPhantoms (PHI)73400.9062.9239101192020110.000070200
2Matt VillaltaPhantoms (PHI)10000.7866.2129003140000.000007000
Statistiques d’équipe totales ou en moyenne83400.8983.1442101222160110.000077200


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
Alex Biega (contrat à 1 volet)Phantoms (PHI)D334/4/1988No199 Lbs5 ft10NoNoYes1Pro & Farm1,775,000$550,000$1,775,000$0$NoLien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)RW232/10/1998No170 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Bowen ByramPhantoms (PHI)D206/13/2001Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Brayden PachalPhantoms (PHI)D228/23/1999No200 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Cameron HillisPhantoms (PHI)C216/24/2000Yes171 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Cody GlassPhantoms (PHI)C224/1/1999No206 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Dawson BarteauxPhantoms (PHI)D211/12/2000Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Drew ShorePhantoms (PHI)C301/29/1991Yes209 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Dylan GarandPhantoms (PHI)G196/7/2002Yes173 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Gerald MayhewPhantoms (PHI)LW/RW2912/31/1992No161 Lbs5 ft9NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Ivan ChekhovichPhantoms (PHI)LW/RW221/4/1999No185 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jack QuinnPhantoms (PHI)RW209/19/2001Yes176 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Jack StudnickaPhantoms (PHI)C222/18/1999No171 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jake BischoffPhantoms (PHI)D277/25/1994No188 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Jamieson ReesPhantoms (PHI)C202/26/2001Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Kaedan KorczakPhantoms (PHI)D201/29/2001Yes192 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Kevin RoyPhantoms (PHI)LW285/20/1993No172 Lbs5 ft9NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Kristian ReichelPhantoms (PHI)RW236/11/1998No168 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Kyle BurroughsPhantoms (PHI)D267/12/1995No193 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Matt BenningPhantoms (PHI)D275/25/1994No203 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Matt VillaltaPhantoms (PHI)G226/3/1999Yes165 Lbs6 ft3NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien NHL
Matthew StruthersPhantoms (PHI)C2212/26/1999Yes191 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Max GildonPhantoms (PHI)D225/17/1999Yes194 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Michael RasmussenPhantoms (PHI)C/LW/RW224/17/1999No229 Lbs6 ft6NoNoNo1Pro & Farm850,000$700,000$0$0$NoLien / Lien NHL
Nathan WalkerPhantoms (PHI)LW272/7/1994No186 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)RW255/10/1996No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Pheonix CopleyPhantoms (PHI)G291/18/1992No198 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Rourke ChartierPhantoms (PHI)C254/3/1996Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien
Ryan BourquePhantoms (PHI)LW301/3/1991No185 Lbs5 ft9NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Samuel BolducPhantoms (PHI)D2112/9/2000Yes213 Lbs6 ft4NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Travis DermottPhantoms (PHI)D2512/22/1996No205 Lbs6 ft0NoNoNo1Pro & Farm834,100$834,100$0$0$NoLien / Lien NHL
Wade AllisonPhantoms (PHI)RW2410/14/1997Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
William LockwoodPhantoms (PHI)RW236/20/1998Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Wyatte WyliePhantoms (PHI)D2211/2/1999Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3423.94188 Lbs6 ft02.35928,209$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RasmussenCody GlassWade Allison40122
2Gerald MayhewJack StudnickaNicolas Aube-Kubel30122
3Nathan WalkerKevin RoyJack Quinn20122
4Kevin RoyCody GlassAxel Jonsson-Fjallby10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningAlex Biega40122
2Travis DermottBowen Byram30122
3Jake BischoffMax Gildon20122
4Samuel BolducMatt Benning10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RasmussenCody GlassWade Allison60122
2Gerald MayhewJack StudnickaNicolas Aube-Kubel40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassWade Allison60122
2Michael RasmussenNicolas Aube-Kubel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cody Glass60122Matt BenningAlex Biega60122
2Wade Allison40122Travis DermottBowen Byram40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassWade Allison60122
2Michael RasmussenNicolas Aube-Kubel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RasmussenCody GlassWade AllisonMatt BenningAlex Biega
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RasmussenCody GlassWade AllisonMatt BenningAlex Biega
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristian Reichel, Nathan Walker, Jack QuinnKristian Reichel, Nathan WalkerJack Quinn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Bischoff, Max Gildon, Samuel BolducJake BischoffMax Gildon, Samuel Bolduc
Tirs de pénalité
Cody Glass, Wade Allison, Michael Rasmussen, Nicolas Aube-Kubel, Gerald Mayhew
Gardien
#1 : Pheonix Copley, #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Cody Glass, Wade Allison, Michael Rasmussen, Nicolas Aube-Kubel, Gerald Mayhew, Nathan Walker, Nathan Walker, Jack Studnicka, Kevin Roy, Jack Quinn, Axel Jonsson-Fjallby
Lignes de défense personnalisées en prolongation
Matt Benning, Alex Biega, Travis Dermott, Bowen Byram, Jake Bischoff


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
1Penguins734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
Total734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Since Last GM Reset734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Vs Conference734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Vs Division734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1163046222217734416811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400001623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000513
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2129.52%22290.91%0
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
62758322851
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
12925949.81%11822851.75%5410252.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
175121159518743


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
1 - 2022-04-122Penguins0Phantoms3BWSommaire du match
3 - 2022-04-1410Penguins5Phantoms3BLSommaire du match
5 - 2022-04-1618Phantoms1Penguins4ALSommaire du match
7 - 2022-04-1826Phantoms1Penguins7ALSommaire du match
9 - 2022-04-2034Penguins1Phantoms3BWSommaire du match
11 - 2022-04-2242Phantoms3Penguins2AWXSommaire du match
13 - 2022-04-2450Penguins4Phantoms2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 3000 - 100.00% 81,250$325,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,978,410$ 2,178,410$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Phantoms 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
1Wade Allison82444589184017017337411.76%22189723.141181962123411249.55%10.9424
2Michael Rasmussen82324476119128612631110.29%25176021.46813216420256253.59%10.8613
3Matt Benning8217587509318213315411.04%154202024.6381220700220510.00%00.7400
4Bowen Byram7314526666521112113610.29%94167622.9681321770225100.00%00.7900
5Cody Glass61234265182111792768.33%16137722.59312154210197057.33%00.9403

Phantoms 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
1Pheonix Copley82482360.9023.36467310226226860010.76913
2Matt Villalta91400.9143.2129900161860010.0000

Phantoms 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
23823627011422316282344118110532216113823411816061001551441110431657088622117101851430751037100998259287479369621522566123.83%2926478.08%41710315354.23%1453289950.12%673133650.37%2089148618615701025518
Total Saison régulière823627011422316282344118110532216113823411816061001551441110431657088622117101851430751037100998259287479369621522566123.83%2926478.08%41710315354.23%1453289950.12%673133650.37%2089148618615701025518
23734000001623-7422000001110131200000513-86163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
Total Séries éliminatoires734000001623-7422000001110131200000513-86163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743

Phantoms 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
1Bowen Byram7145-461410166.25%2214520.80022100000100.00%00.6900
2Jack Studnicka7325-524172313.04%113118.85000700001053.94%00.7600
3Nicolas Aube-Kubel7145-322110166.25%112918.55011300010041.67%00.7700
4Matt Benning7044-601011120.00%917124.4500070000000.00%00.4700
5Kevin Roy722440161811.11%111115.94000000000046.60%00.7200

Phantoms 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
1Pheonix Copley73400.9062.9239101192020110.0000
2Matt Villalta10000.7866.2129003140000.0000