Senators
GP: 82 | W: 29 | L: 45 | OTL: 8 | P: 66
GF: 258 | GA: 314 | PP%: 24.21% | PK%: 79.67%
DG: Marco Turcotte | 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
Checkers
37-37-8, 82pts
2
FINAL
3 Senators
29-45-8, 66pts
Team Stats
W1StreakL1
22-17-2Home Record15-22-4
15-20-6Away Record14-23-4
5-4-1Last 10 Games3-5-2
3.49Buts par match 3.15
3.41Buts contre par match 3.83
23.98%Pourcentage en avantage numérique24.21%
80.10%Pourcentage en désavantage numérique79.67%
Senators
29-45-8, 66pts
4
FINAL
5 Phantoms
49-27-6, 104pts
Team Stats
L1StreakW1
15-22-4Home Record25-11-5
14-23-4Away Record24-16-1
3-5-2Last 10 Games5-3-2
3.15Buts par match 3.85
3.83Buts contre par match 3.44
24.21%Pourcentage en avantage numérique23.83%
79.67%Pourcentage en désavantage numérique78.08%
Meneurs d'équipe
Evan BouchardButs
Evan Bouchard
10
Evan BouchardPasses
Evan Bouchard
32
Evan BouchardPoints
Evan Bouchard
42
Evan BouchardPlus/Moins
Evan Bouchard
-6
Troy GrosenickVictoires
Troy Grosenick
9
Zachary SawchenkoPourcentage d’arrêts
Zachary Sawchenko
0.947

Statistiques d’équipe
Buts pour
258
3.15 GFG
Tirs pour
2869
34.99 Avg
Pourcentage en avantage numérique
24.2%
61 GF
Début de zone offensive
41.4%
Buts contre
314
3.83 GAA
Tirs contre
2996
36.54 Avg
Pourcentage en désavantage numérique
79.7%
61 GA
Début de la zone défensive
40.7%
Information d’équipe

Directeur généralMarco Turcotte
EntraîneurSteve Spott
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,908
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 80
Espoirs50


Historique d'équipe

Saison actuelle29-45-8 (66PTS)
Historique633-720-149 (0.421%)
Apparitions séries éliminatoires 6
Historique séries éliminatoires (W-L)15-25
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
1Chris Terry0X100.00594681657088936368676459658072075650322800,000$
2Kyle Clifford0X100.00798674628372896159646356637870075640302750,000$
3Austin Czarnik0XX100.00523595646779756674656761687769075640291925,000$
4Pavel Gogolev (R)0X100.00633593657280776364666758686164075640213925,000$
5Cory Conacher0XXX100.00565371666774726570676162648072075630322999,999$
6Paul Thompson0X100.00683661587778835963606257618276075620331999,999$
7Ryan Wagner0X100.00563584596571745855576054596968075600252700,000$
8Brandon Gignac0XX100.00584382576678735865595556536764075590242925,000$
9Patrick Newell0XXX100.00583592586079845654575853576965075590252700,000$
10Mirco Mueller0X100.00794285648587755830675975507166075650262750,000$
11Joel Hanley0X100.00723594667085766430695764537870075650302750,000$
12Kevin Connauton0X100.007646806281777263306757645079710756403111,499,000$
13Matt Donovan0X100.00693770617888935830645459467971075620311999,999$
14Anton Karlsson (R)0X100.00694877557984895230565460457568075600283925,000$
Rayé
1Andy Andreoff0X100.00804382637871756272616365627870075650301750,000$
2Brendan Gaunce0X100.00726455618477726274676366617367075640272750,000$
3Jamie Devane0X100.00877657569670755553525460547870075610303925,000$
4Alex Dostie0X100.00583593566769735362555654556764075580243950,000$
5Martin Marincin0X100.008170836193716862306458684977700756502921,300,000$
6Zach Redmond0X100.00744286618388935930635463478273075640332750,000$
7Jordan Murray0X100.00625768607188936030665557487769075620291700,000$
8Kyle Cumiskey0X100.00593593586866715730615456478575075610351999,999$
9Maxim Lamarche0X100.00785578548764695330525156457769075590292700,000$
10Dylan Blujus0X100.00735276568277725530535457467367075590272925,000$
MOYENNE D’ÉQUIPE100.0068488060767879594862586055766907562
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
1Troy Grosenick100.00728180747170727170727180860756503211,100,000$
2Zachary Sawchenko100.0073807874727173727173726872075640242700,000$
Rayé
1Tyler Parsons (R)100.0062737574616062616062616771075580243925,000$
MOYENNE D’ÉQUIPE100.006978787468676968676968727607562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott67757572787371CAN522990,000$


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
1Joel HanleySenators (OTT)D79106373-24560181113142471087.04%142180322.8361824741990001218310.00%000000.8100000631
2Chris TerrySenators (OTT)RW75402262-233210961672828422814.18%24178623.8287154720110172657453.20%35900000.6902002143
3Austin CzarnikSenators (OTT)C/RW77273259-122015169298802479.06%17146319.0161218571880112613159.20%80400100.8100000002
4Mirco MuellerSenators (OTT)D70114556-648019212315740887.01%130149321.3341216761700001180100.00%000000.7500000033
5Cory ConacherSenators (OTT)C/LW/RW66252954-1995531302436217210.29%21112417.044101430920001381154.49%53400100.9601010431
6Pavel GogolevSenators (OTT)LW82242650-3012085131292732288.22%17169520.68610165121600071405253.94%24100000.5912000122
7Brendan GaunceSenators (OTT)C64162844-12480161186203591817.88%26114117.845813451370000562255.56%143800000.7700000211
8Evan BouchardSenatorsD36103242-6140316886305811.63%7688124.50871548960110115000.00%000000.9500000031
9Kevin ConnautonSenators (OTT)D7882937-115001248876225110.53%80111314.2746102460011070000.00%100000.6600000023
10Andy AndreoffSenators (OTT)C49142135-10460188181188461407.45%22110222.510552812100031430157.71%167900020.6301000312
11Zach RedmondSenators (OTT)D7872431-9520142679826437.14%98137817.685510401310003161000.00%000000.4500000001
12Kyle CliffordSenators (OTT)LW62141428-1456020566180571247.78%13117218.91145361450002623046.96%11500000.4801000213
13Paul ThompsonSenators (OTT)RW5412921-836012973133441069.02%1180714.9500018000021161.17%10300000.5200000032
14Ryan WagnerSenators (OTT)RW7091120-740153564315814.06%35838.341014121011332038.83%10300000.6801000012
15Jamie DevaneSenators (OTT)LW5810102025601894598325910.20%885814.810006360001360047.12%10400000.4700000102
16Matt DonovanSenators (OTT)D5921719-322068564715364.26%4270511.95000110000390024.59%6100000.5400000001
17Martin MarincinSenators (OTT)D3661218-12340108357022558.57%6678521.8123530940001101100.00%000000.4600000002
18Anton KarlssonSenators (OTT)D55279-618035234210244.76%405279.59000010000260037.50%8800000.3400000000
19Brandon GignacSenators (OTT)C/LW43358-68015475617395.36%648111.19000000000160049.59%36300000.3300000000
20Dylan BlujusSenators (OTT)D3608851603816178130.00%93218.93000000000100042.86%700000.5000000001
21Patrick NewellSenators (OTT)C/LW/RW43235-20013353814295.26%03808.8500004000040046.98%23200000.2600000020
22Jordan MurraySenators (OTT)D7022-520355310.00%48111.6200000000012000.00%000000.4900000000
23Kyle CumiskeySenators (OTT)D9000000252130.00%2485.360000000000000.00%000000.0000000000
24Alex DostieSenators (OTT)C2000000041010.00%0126.0100013000020061.11%1800000.0000000000
Statistiques d’équipe totales ou en moyenne1288252449701-2186211520881868281882320928.94%8572175016.89601071675991925235301798291354.61%625000220.6418012202933
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
1Troy GrosenickSenators (OTT)3091030.8963.76138920878380010.00022161111
2Zachary SawchenkoSenators (OTT)50100.9471.75171005940000.0000021000
Statistiques d’équipe totales ou en moyenne3591130.9013.54156120929320010.00022182111


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 DostieSenators (OTT)C244/13/1997No174 Lbs5 ft11NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Andy AndreoffSenators (OTT)C305/17/1991No203 Lbs6 ft1NoNoNo1Pro & Farm750,000$4,144$1,042,000$5,757$0$0$NoLien / Lien NHL
Anton KarlssonSenators (OTT)D285/20/1993Yes194 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Austin CzarnikSenators (OTT)C/RW2912/12/1992No175 Lbs5 ft9NoNoNo1Pro & Farm925,000$5,110$925,000$5,110$0$0$NoLien / Lien NHL
Brandon GignacSenators (OTT)C/LW2411/7/1997No170 Lbs5 ft11NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Brendan GaunceSenators (OTT)C273/25/1994No217 Lbs6 ft2NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Chris TerrySenators (OTT)RW324/7/1989No191 Lbs5 ft10NoNoNo2Pro & Farm800,000$4,420$800,000$4,420$0$0$No800,000$Lien / Lien NHL
Cory ConacherSenators (OTT)C/LW/RW3212/14/1989No185 Lbs5 ft8NoNoNo2Pro & Farm999,999$5,525$999,999$5,525$0$0$No999,999$Lien / Lien NHL
Dylan BlujusSenators (OTT)D271/22/1994No191 Lbs6 ft3NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Jamie DevaneSenators (OTT)LW302/20/1991No232 Lbs6 ft5NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien / Lien NHL
Joel HanleySenators (OTT)D306/8/1991No190 Lbs5 ft11NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Jordan MurraySenators (OTT)D2912/17/1992No170 Lbs6 ft1NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Kevin ConnautonSenators (OTT)D312/23/1990No205 Lbs6 ft2NoNoNo1Pro & Farm1,499,000$8,282$1,499,000$8,282$0$0$NoLien / Lien NHL
Kyle CliffordSenators (OTT)LW301/13/1991No211 Lbs6 ft2NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Kyle CumiskeySenators (OTT)D3512/2/1986No180 Lbs5 ft11NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Martin MarincinSenators (OTT)D292/18/1992No217 Lbs6 ft5NoNoNo2Pro & Farm1,300,000$7,182$1,300,000$7,182$0$0$No1,300,000$Lien / Lien NHL
Matt DonovanSenators (OTT)D315/9/1990No205 Lbs6 ft1NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Maxim LamarcheSenators (OTT)D297/11/1992No218 Lbs6 ft3NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Mirco MuellerSenators (OTT)D263/21/1995No210 Lbs6 ft3NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Patrick NewellSenators (OTT)C/LW/RW251/18/1996No139 Lbs5 ft8NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Paul ThompsonSenators (OTT)RW3311/30/1988No200 Lbs6 ft1NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Pavel GogolevSenators (OTT)LW212/19/2000Yes173 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Ryan WagnerSenators (OTT)RW254/15/1996No185 Lbs5 ft8NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Troy GrosenickSenators (OTT)G328/27/1989No185 Lbs6 ft1NoNoNo1Pro & Farm1,100,000$6,077$1,100,000$6,077$0$0$NoLien / Lien NHL
Tyler ParsonsSenators (OTT)G249/18/1997Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien
Zach RedmondSenators (OTT)D337/26/1988No212 Lbs6 ft2NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Zachary SawchenkoSenators (OTT)G2412/30/1997No185 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.52193 Lbs6 ft11.89893,481$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel GogolevAustin CzarnikChris Terry40122
2Kyle CliffordCory Conacher30122
3Brandon GignacPatrick NewellPaul Thompson20122
4Pavel GogolevChris TerryRyan Wagner10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyMirco Mueller40122
2Kevin Connauton30122
3Matt DonovanAnton Karlsson20122
4Joel HanleyMirco Mueller10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel GogolevAustin CzarnikChris Terry60122
2Kyle CliffordCory Conacher40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyMirco Mueller60122
2Kevin Connauton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryPavel Gogolev60122
2Austin CzarnikKyle Clifford40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyMirco Mueller60122
2Kevin Connauton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Terry60122Joel HanleyMirco Mueller60122
2Pavel Gogolev40122Kevin Connauton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryPavel Gogolev60122
2Austin CzarnikKyle Clifford40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joel HanleyMirco Mueller60122
2Kevin Connauton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel GogolevAustin CzarnikChris TerryJoel HanleyMirco Mueller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel GogolevAustin CzarnikChris TerryJoel HanleyMirco Mueller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Thompson, Ryan Wagner, Patrick NewellPaul Thompson, Ryan WagnerPatrick Newell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Donovan, Anton Karlsson, Kevin ConnautonMatt DonovanAnton Karlsson, Kevin Connauton
Tirs de pénalité
Chris Terry, Pavel Gogolev, Austin Czarnik, Kyle Clifford,
Gardien
#1 : Troy Grosenick, #2 : Zachary Sawchenko
Lignes d’attaque personnalisées en prolongation
Chris Terry, Pavel Gogolev, Austin Czarnik, Kyle Clifford, , Cory Conacher, Cory Conacher, Paul Thompson, Ryan Wagner, Patrick Newell, Brandon Gignac
Lignes de défense personnalisées en prolongation
Joel Hanley, Mirco Mueller, Kevin Connauton, , Matt Donovan


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
1Admirals2020000039-61010000035-21010000004-400.00036900888679675931970942346621124910110.00%60100.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
2Americans31200000810-22110000045-11010000045-120.33381422008886796105931970942341063320777228.57%10460.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
3Barracuda20100100814-61010000027-51000010067-110.25081321008886796779319709423461218616233.33%4175.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
4Bears30300000716-91010000027-52020000059-400.0007142100888679695931970942349928287311545.45%13284.62%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
5Bruins412010001213-1211000006512010100068-240.5001221331188867961379319709423415649329716318.75%16287.50%11588304952.08%1531299351.15%713131754.14%2037142718905761026523
6Checkers401021001416-22010100057-22000110099050.62514264000888679613893197094234161461411011436.36%7185.71%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
7Comets21100000880110000004221010000046-220.500816240088867968693197094234811912569222.22%6266.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
8Condors211000004311010000012-11100000031220.50048120088867967793197094234541314405240.00%7185.71%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
9Crunch403010001014-42020000048-42010100066020.2501019290088867961629319709423415040361211119.09%17382.35%11588304952.08%1531299351.15%713131754.14%2037142718905761026523
10Devils330000001064220000006421100000042261.000101929008886796112931970942341133714768225.00%6183.33%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
11Eagles2020000059-41010000024-21010000035-200.000510150088867965993197094234751920644125.00%10190.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
12Firebirds211000006421010000024-21100000040420.500691501888679666931970942347426284110220.00%13192.31%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
13Griffins320000011413111000000431210000011010050.8331426400088867961059319709423410132279413538.46%11281.82%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
14Gulls20200000611-51010000025-31010000046-200.000611170088867965593197094234712326636233.33%12466.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
15Heat2110000056-1110000004311010000013-220.5005813008886796669319709423454161055200.00%5180.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
16IceHogs2020000039-61010000015-41010000024-200.000358008886796509319709423464211838200.00%9366.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
17Marlies42200000131302200000083520200000510-540.5001326390088867961489319709423413960448716212.50%16193.75%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
18Monsters30300000610-41010000012-12020000058-300.00061218008886796117931970942341002230554125.00%12375.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
19Moose2020000037-41010000013-21010000024-200.000369108886796979319709423466191255400.00%6183.33%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
20Penguins302001001217-5201001001013-31010000024-210.167122032008886796899319709423414344357811654.55%15566.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
21Phantoms303000001116-51010000035-220200000811-300.0001121320088867969793197094234952822749111.11%9544.44%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
22Reign2110000067-11010000024-21100000043120.500611170088867966993197094234673020505120.00%10370.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
23Roadrunners21100000651110000003121010000034-120.500612180088867967593197094234651312546116.67%6183.33%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
24Rocket411002001214-22000020068-22110000066040.5001222340088867961399319709423417053221099111.11%11281.82%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
25Silver Knights20101000770100010004311010000034-120.5007121900888679673931970942346517106211436.36%5180.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
26Sound Tigers3300000021101111000000651220000001551061.000213455008886796113931970942341223616885120.00%6183.33%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
27Stars2110000067-1110000004221010000025-320.5006915008886796679319709423464141446900.00%50100.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
28Thunderbirds210000016511000000134-11100000031230.750611170088867965193197094234923024462150.00%120100.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
29Wild21100000610-41010000008-81100000062420.5006101600888679657931970942341022716478337.50%80100.00%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
30Wolf Pack321000001313021100000810-21100000053240.6671321340088867961109319709423411122247713323.08%12741.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
31Wolves30200100712-52020000048-41000010034-110.16771219008886796102931970942341093830949222.22%15286.67%01588304952.08%1531299351.15%713131754.14%2037142718905761026523
Total82244505602258314-5641132202301115155-4041112303301143159-16660.402258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
_Since Last GM Reset82244505602258314-5641132202301115155-4041112303301143159-16660.402258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
_Vs Conference47162304400163175-12241010013007787-1023613031008688-2440.468163294457128886796167293197094234178553435912181523623.68%1633876.69%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
_Vs Division26910012008393-101364002003739-21336010004654-8220.4238315423711888679693493197094234983313195695831821.69%881582.95%21588304952.08%1531299351.15%713131754.14%2037142718905761026523

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8266L125846472228692996897650213722
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224455602258314
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113222301115155
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4111233301143159
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2526124.21%3006179.67%2
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
931970942348886796
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
1588304952.08%1531299351.15%713131754.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2037142718905761026523


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 - 2021-10-149Marlies1Senators4BWSommaire du match
5 - 2021-10-1623Senators1Marlies4ALSommaire du match
6 - 2021-10-1734Stars2Senators4BWSommaire du match
10 - 2021-10-2153Barracuda7Senators2BLSommaire du match
12 - 2021-10-2366Wolf Pack4Senators5BWSommaire du match
14 - 2021-10-2584Bears7Senators2BLSommaire du match
18 - 2021-10-29116Senators2Stars5ALSommaire du match
21 - 2021-11-01133Senators2IceHogs4ALSommaire du match
22 - 2021-11-02138Senators6Wild2AWSommaire du match
24 - 2021-11-04151Silver Knights3Senators4BWXSommaire du match
26 - 2021-11-06162Crunch4Senators2BLSommaire du match
29 - 2021-11-09182Senators3Bruins2AWXSommaire du match
31 - 2021-11-11197Reign4Senators2BLSommaire du match
33 - 2021-11-13214Penguins7Senators6BLXSommaire du match
34 - 2021-11-14224Heat3Senators4BWSommaire du match
36 - 2021-11-16234Senators4Devils2AWSommaire du match
38 - 2021-11-18250Admirals5Senators3BLSommaire du match
40 - 2021-11-20261Wolf Pack6Senators3BLSommaire du match
42 - 2021-11-22284Senators3Eagles5ALSommaire du match
44 - 2021-11-24303Senators6Barracuda7ALXSommaire du match
46 - 2021-11-26308Senators4Gulls6ALSommaire du match
47 - 2021-11-27319Senators4Reign3AWSommaire du match
51 - 2021-12-01348Comets2Senators4BWSommaire du match
52 - 2021-12-02356Senators3Wolves4ALXSommaire du match
54 - 2021-12-04371Eagles4Senators2BLSommaire du match
57 - 2021-12-07390Sound Tigers5Senators6BWSommaire du match
61 - 2021-12-11419Crunch4Senators2BLSommaire du match
64 - 2021-12-14439Senators4Checkers5ALXSommaire du match
66 - 2021-12-16455Senators5Crunch4AWXSommaire du match
68 - 2021-12-18474Senators4Phantoms6ALSommaire du match
69 - 2021-12-19483Bruins0Senators3BWSommaire du match
71 - 2021-12-21495Thunderbirds4Senators3BLXXSommaire du match
73 - 2021-12-23510Wolves3Senators2BLSommaire du match
77 - 2021-12-27526Senators2Bears3ALSommaire du match
79 - 2021-12-29546Bruins5Senators3BLSommaire du match
81 - 2021-12-31559Penguins6Senators4BLSommaire du match
82 - 2022-01-01571Senators4Marlies6ALSommaire du match
84 - 2022-01-03585Wild8Senators0BLSommaire du match
87 - 2022-01-06610Senators4Firebirds0AWSommaire du match
89 - 2022-01-08624Senators4Comets6ALSommaire du match
91 - 2022-01-10635Senators3Condors1AWSommaire du match
94 - 2022-01-13658Senators1Heat3ALSommaire du match
96 - 2022-01-15671Senators2Moose4ALSommaire du match
99 - 2022-01-18692Americans3Senators1BLSommaire du match
101 - 2022-01-20707Senators2Penguins4ALSommaire du match
103 - 2022-01-22727Senators3Bears6ALSommaire du match
104 - 2022-01-23733Senators3Monsters4ALSommaire du match
106 - 2022-01-25744Americans2Senators3BWSommaire du match
108 - 2022-01-27758Wolves5Senators2BLSommaire du match
110 - 2022-01-29772Gulls5Senators2BLSommaire du match
112 - 2022-01-31793Condors2Senators1BLSommaire du match
113 - 2022-02-01802Senators8Sound Tigers2AWSommaire du match
118 - 2022-02-06833Rocket4Senators3BLXSommaire du match
121 - 2022-02-09851Senators1Crunch2ALSommaire du match
123 - 2022-02-11865Senators5Checkers4AWXSommaire du match
125 - 2022-02-13882Senators3Roadrunners4ALSommaire du match
126 - 2022-02-14896Senators3Silver Knights4ALSommaire du match
128 - 2022-02-16906Senators3Thunderbirds1AWSommaire du match
130 - 2022-02-18918Firebirds4Senators2BLSommaire du match
132 - 2022-02-20937IceHogs5Senators1BLSommaire du match
134 - 2022-02-22952Roadrunners1Senators3BWSommaire du match
136 - 2022-02-24965Monsters2Senators1BLSommaire du match
138 - 2022-02-26977Phantoms5Senators3BLSommaire du match
139 - 2022-02-27990Senators3Rocket4ALSommaire du match
144 - 2022-03-041022Senators7Sound Tigers3AWSommaire du match
146 - 2022-03-061039Checkers5Senators2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091064Senators0Admirals4ALSommaire du match
152 - 2022-03-121086Senators6Griffins5AWSommaire du match
154 - 2022-03-141101Griffins3Senators4BWSommaire du match
156 - 2022-03-161114Senators3Rocket2AWSommaire du match
158 - 2022-03-181128Devils2Senators3BWSommaire du match
160 - 2022-03-201148Senators5Wolf Pack3AWSommaire du match
161 - 2022-03-211160Moose3Senators1BLSommaire du match
163 - 2022-03-231169Senators4Griffins5ALXXSommaire du match
165 - 2022-03-251181Senators3Bruins6ALSommaire du match
167 - 2022-03-271201Marlies2Senators4BWSommaire du match
171 - 2022-03-311227Senators4Americans5ALSommaire du match
173 - 2022-04-021243Senators2Monsters4ALSommaire du match
174 - 2022-04-031251Rocket4Senators3BLXSommaire du match
177 - 2022-04-061273Devils2Senators3BWSommaire du match
179 - 2022-04-081290Checkers2Senators3BWXSommaire du match
180 - 2022-04-091303Senators4Phantoms5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance54,85623,388
Assistance PCT66.90%57.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1908 - 63.61% 76,362$3,130,823$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,481,526$ 2,412,400$ 2,291,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,328$ 2,470,190$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,798$ 18,798$




Senators 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
1Mike Blunden520129174303-126503991980118210.91%2421010619.443250821101122523746.20%00.601628
2Eric Wellwood501109173282-2168683768105610.32%204797715.922146679113429111145.86%00.71414
3Ryan Craig2701161592751929959462582414.08%202550020.3721426392103132713951.94%41.00720
4Justin Azevedo417113134247-312153474690112.54%166667816.02123345634482212850.80%40.74411
5Brett Maclean269101134235-6216950355289711.26%190583221.68244367109336159949.42%30.81423

Senators 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
1Brad Thiessen301105150340.9063.061743514188909499485311120.698126
2Calvin Pickard144755690.9063.20827612344247200840.81021
3Matt Murray23174136190.9083.111327618668975100380.762105
4Curtis McElhinney129654780.8993.067308813373371110451010.69623
5Robin Lehner1175142180.8993.12662125734434141802720.70955

Senators 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
580383201225291262294022150001216113823401617012131301246892914967871110761121002798079010419502540873143720702066431.07%2606774.23%11801155351.58%772152250.72%684133051.43%157874817959711735853
6803932024122552496402014022111351191640191800201120130-10902554176720605910489222906718277172310728105220622074521.74%2305576.09%9766150151.03%790159149.65%598122848.70%1502676371620011769876
776392602243286225613815180112113212111382480112215410450952864747600707410799234806928677782061697126219262055526.83%2014080.10%8795151052.65%778149052.21%644122052.79%144967914687971679817
8763224035482672501738188024421511203138141601106116130-1491267432699320739889241907189347442431784100721412135023.47%2145176.17%7811164949.18%765164046.65%527111147.43%150372315187861607791
980183704696211255-4440111901243106122-164071803453105133-287421132053120027838818070415683660225678669815821634225.77%1953880.51%9606131446.12%751160946.67%459101245.36%139556816308661859915
1080174204737192243-51407240131490127-3740101803423102116-146219230449655045815920500638707660247286292420482004422.00%2005572.50%0779152251.18%811170547.57%479102346.82%148464316008431782899
1180233801846171231-604010200043391124-334013180141380107-2770171276447210028489015780339550660231475260316301695230.77%2176968.20%3571122146.76%790161948.80%44593147.80%134449416148751903967
1276243405463207231-2438112101131101134-33381313043321069797720733654333039728524090669880815261285075218641934824.87%2385975.21%1778166046.87%847182946.31%454100345.26%146969915637791585785
1380273405464253273-2040111802252131149-1840161603212122124-284253408661230531157426690791980865283791870121562266528.76%2436872.02%7879176249.89%964198448.59%600113452.91%158378116388141638809
1480144606275170282-112409210413291130-39405250214379152-7361170261431140326065176504526196372788949115914981705230.59%2718568.63%6668134549.67%900186948.15%495105746.83%136352917058461803927
1580194603723197271-74409260131090132-4240102002413107139-325819731951664047717420280570695739262384382217601845127.72%2456374.29%4618143743.01%761179142.49%422104740.31%139757716798481765886
1676164104177182241-593810190204396112-16386220213486129-436218232650802055674918880593597670250673656715802314419.05%2445677.05%0999216146.23%1214266345.59%536117445.66%1670111019555981010486
1780115405253154282-128407270103273135-62404270422181147-664715426441811045603916990555572541306189849116551952814.36%2073782.13%2923210543.85%1318297844.26%546125043.68%1620104921656311062500
1876204301264175234-593811190014393116-23389240112182118-366017531248773056535919620628633681245770156815692013416.92%2454980.00%31054220647.78%1207266445.31%595118550.21%1729116118855711001494
198234320364326423529412213012211431043941121902422121131-1091264463727060112687725910845844864229467537214502214219.00%1613777.02%21362272350.02%1215247049.19%686131552.17%1981136819266091073537
2082264504313221268-4741152003201113129-1641112501112108139-316822140162214079647325080832822832269979769219642856121.40%2835779.86%11404276150.85%1436285550.30%671130051.62%1921129619586181073533
21823334083312642442041141706310127122541191702021137122159226447874223089788627040876865930277478456119202314117.75%2404780.42%31605289455.46%1545289353.40%689129553.20%2106150118115611036533
22823235066122882761241171703112143137641151803500145139686288514802210124778028490938957928288482168820372305825.22%2796576.70%21581300452.63%1588307351.68%746141752.65%1975136619175981059533
2382244505602258314-5641132202301115155-4041112303301143159-1666258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
Total Saison régulière151048672007280757743064866-56075525235803335433421822426-24475523436203945324321242440-316142343067265115714077881199149713814317093112982150151370548915153511500635049398293723.53%4473105976.32%80185883737749.73%199834123848.46%109892234949.17%311181740535443151982747413673
Séries éliminatoires
5514000002028-821100000770303000001321-8220335310067718904681622177411812516531.25%18288.89%05210250.98%7715051.33%4710445.19%9650190310209746
61165000003732554100000161246240000021201123755920001181734301131111073391048033032825.00%30680.00%110722347.98%12121955.25%8917850.00%22110339262113243125
7514000001721-420200000611-531200000111012172643000566131042414720672371037114.29%12558.33%05310450.96%4910646.23%448154.32%8942116509649
8734000002432-8321000001512341300000920-11624396310098725008680842669410219826726.92%25676.00%210118355.19%8817151.46%5911650.86%138701506813165
21624000001518-332100000118330300000410-641528430006541650594165221504415420315.00%21290.48%09419149.21%10723645.34%308137.04%12785156457536
22624000001117-63210000074330300000413-941122330103441950656862191485013622418.18%24483.33%011322250.90%11521852.75%427953.16%14599137437637
Total Séries éliminatoires40152500000124148-2418117000006254822418000006294-323012420332721040384512730411422427144044243110461232822.76%1302580.77%3520102550.73%557110050.64%31163948.67%81945063903341721360

Senators 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
1Nick Dodge1910717-1426224323.26%1330816.23123300000140.00%01.1000
2Ryan Craig178614-71637305514.55%1133619.80336610120054.55%00.8300
3Josh Hennessy11103130227245318.87%623121.063141000011053.22%01.1200
4Brandon Bochenski984122012312334.78%521624.02202310123144.00%01.1100
5Josh Hennessy57411-1010153619.44%511122.33202700020046.10%21.9700

Senators 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
1Curtis McElhinney146700.8953.618150049466146010.0000
2Calvin Pickard124800.9162.9068221333930000.0000
3Robin Lehner73400.8834.444190031265124110.0000
4Mike Brodeur51310.8984.163030021206121000.0000
5Michael Teslak21100.8833.501200076030100.0000