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Senators
GP: 27 | W: 16 | L: 11
GF: 88 | GA: 86 | PP%: 25.00% | PK%: 79.07%
DG: Alexandre Roberge | Morale : 40 | Moyenne d’équipe : 63

Centre de jeu
Thunderbirds
14-11-0, 28pts
3
4 Senators
16-11-0, 32pts
Team Stats
L1SéquenceW3
9-3-0Fiche domicile10-4-0
5-8-0Fiche domicile6-7-0
4-3-3Derniers 10 matchs8-1-1
3.96Buts par match 3.26
3.48Buts contre par match 3.19
20.69%Pourcentage en avantage numérique25.00%
81.44%Pourcentage en désavantage numérique79.07%
Senators
16-11-0, 32pts
5
4 Thunderbirds
14-11-0, 28pts
Team Stats
W3SéquenceL1
10-4-0Fiche domicile9-3-0
6-7-0Fiche domicile5-8-0
8-1-1Derniers 10 matchs4-3-3
3.26Buts par match 3.96
3.19Buts contre par match 3.48
25.00%Pourcentage en avantage numérique20.69%
79.07%Pourcentage en désavantage numérique81.44%
Meneurs d'équipe
James MalatestaButs
James Malatesta
16
Glenn GawdinPasses
Glenn Gawdin
21
Nils AmanPoints
Nils Aman
30
Nils AmanPlus/Moins
Nils Aman
6
Jet GreavesVictoires
Jet Greaves
16
Jet GreavesPourcentage d’arrêts
Jet Greaves
0.912

Statistiques d’équipe
Buts pour
88
3.26 GFG
Tirs pour
871
32.26 Avg
Pourcentage en avantage numérique
25.0%
23 GF
Début de zone offensive
38.4%
Buts contre
86
3.19 GAA
Tirs contre
990
36.67 Avg
Pourcentage en désavantage numérique
79.1%%
18 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralAlexandre Roberge
EntraîneurNolan Pratt
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineJames Malatesta
Assistant #1
Assistant #2Daylan Kuefler


Informations de l’aréna

Capacité5,000
Assistance4,991
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 70
Espoirs30


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
1Logan CooleyXX100.00663587797387907874777565806267040710222925,000$
2Cutter Gauthier (R)XX100.00683692728184757457737264746165040690223925,000$
3Jackson Blake (R)XX100.00563488706883756959646661686265040650233925,000$
4Matej BlumelXX100.00663786687572886664626763686567040650263925,000$
5Nils AmanXXX100.00693791667677816474676269646567040650261925,000$
6Glenn GawdinXX100.00783975637686876471626063626870040640291925,000$
7James Malatesta (C)XX100.00754068656881806358616260656364040630232925,000$
8Pavol RegendaXX100.00784272598886845661585762566668040620263925,000$
9Joe SnivelyXX100.00563689636580876266615857616971040620301925,000$
10Chase WheatcroftXX100.00703985577972815665585559566365040600242925,000$
11Daylan Kuefler (A)X100.00705167567985665558545257536365040580242925,000$
12Scott Morrow (R)X100.00704178678286726630686064526365040650233925,000$
13Maveric Lamoureux (R)X100.00794562639284706230646065526163040640223925,000$
14Artyom Levshunov (R)X100.00714172648290726530675863526064040630203925,000$
15Filip RoosX100.00743985588680845630575258476668040610271925,000$
16Dysin MayoX100.00684366587771835630575559476971040600301925,000$
17Daniel WalcottXX100.00633976587274825759555654587173040600321925,000$
18Trey TaylorX100.00693795557876605430535052456365040580243925,000$
Rayé
1Chad NychukX100.00664076557665665430535256456466040580251925,000$
MOYENNE D’ÉQUIPE100.0069407963788078625162596158646704063
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
1Jet Greaves100.00829187728180828180828164710407002521,499,000$
2Kevin Mandolese100.0071797582706971706971706573040640262925,000$
Rayé
1Gabriel Carriere (R)100.0070757178696870696870696573040630253925,000$
2Vyacheslav Peksa (R)100.0060706680595860595860596369040580243925,000$
MOYENNE D’ÉQUIPE100.007179757870697170697170647204064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt65717868757076CAN504500,000$


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
1Nils AmanSenators (OTT)C/LW/RW271416306805179115338312.17%857921.4754937860000271252.71%48000001.0400000224
2Glenn GawdinSenators (OTT)C/RW2762127010057808724686.90%746317.1607726670002181153.53%62400001.1700000131
3Matej BlumelSenators (OTT)LW/RW2791524-540275110327758.74%2255020.37471130810000713131.11%4500000.8700000002
4James MalatestaSenators (OTT)C/LW2716723040434586156318.60%439514.644151939000012042.31%15600001.1600000301
5Dysin MayoSenators (OTT)D2731316212050231671718.75%2448618.03101100000800100.00%100000.6600000012
6Pavol RegendaSenators (OTT)LW/RW2721416-233574465117393.92%2457421.27123936000060052.94%3400000.5600100022
7Joe SnivelySenators (OTT)C/LW271041402077079296812.66%958121.5200001000040042.66%42900000.4800000010
8Logan CooleySenators (OTT)C/LW105813520163645122111.11%424524.561459320000262154.34%35700001.0600000300
9Cutter GauthierSenators (OTT)LW/RW108412540152343142918.60%024324.342139320001242150.00%1800010.9900000120
10Artyom LevshunovSenators (OTT)D102795601971221616.67%1121021.05112824000018200%000000.8600000001
11Chase WheatcroftSenators (OTT)C/LW27358-36026365221425.77%738014.0900001000010144.83%11600000.4200000110
12Jackson BlakeSenators (OTT)LW/RW10347-200218394277.69%018418.45224827000030141.67%1200000.7600000000
13Adam RaskaSenatorsRW1716734026212310124.35%318010.6001100000000045.45%1100000.7800000001
14Scott MorrowSenators (OTT)D10167-220101713487.69%1326326.39123535000021100%000000.5300000001
15Chad NychukSenators (OTT)D17156-2140361114267.14%1823113.60000000000150025.00%800000.5200000000
16Daylan KueflerSenators (OTT)LW27246-728063324412284.55%1138714.3500000000002040.00%2500000.3100000020
17Filip RoosSenators (OTT)D27134-31405820167126.25%2950918.87000228000024000%000000.1600000000
18Maveric LamoureuxSenators (OTT)D10123-21602614103310.00%522722.79112635000015000%000000.2600000000
19Daniel WalcottSenators (OTT)LW/D27033-91803514146140%2044616.5200024000070033.33%300000.1300000000
20Trey TaylorSenators (OTT)D10000000210010%1373.720000000005000%00000000000000
Statistiques d’équipe totales ou en moyenne40188147235-11187564364486224963210.21%220717817.90233356171536000330016849.46%231900010.6500100111415
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
1Jet GreavesSenators (OTT)2716830.9123.161616008597103000270321
2Kevin MandoleseSenators (OTT)20000.9471.50400011900000027000
Statistiques d’équipe totales ou en moyenne2916830.9133.121656008699003002727321


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Artyom LevshunovSenators (OTT)D202005-10-28BLRYes208 Lbs188 CMNoNoTrade2026-03-07NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Chad NychukSenators (OTT)D252001-03-06CANNo194 Lbs185 CMNoNoTrade2025-09-02NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Chase WheatcroftSenators (OTT)C/LW242002-05-28CANNo192 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cutter GauthierSenators (OTT)LW/RW222004-01-19USAYes201 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Daniel WalcottSenators (OTT)LW/D321994-02-19CANNo175 Lbs185 CMNoNoN/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Daylan KueflerSenators (OTT)LW242002-02-10CANNo195 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Dysin MayoSenators (OTT)D301996-08-17CANNo183 Lbs188 CMNoNoN/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Filip RoosSenators (OTT)D271999-01-05SWENo190 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Gabriel CarriereSenators (OTT)G252000-11-05CANYes188 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Glenn GawdinSenators (OTT)C/RW291997-03-25CANNo195 Lbs185 CMNoNoN/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jackson BlakeSenators (OTT)LW/RW232003-08-03USAYes178 Lbs180 CMNoNoTrade2026-03-06NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
James MalatestaSenators (OTT)C/LW232003-05-31CANNo193 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jet GreavesSenators (OTT)G252001-03-30CANNo190 Lbs183 CMNoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm1,499,000$0$0$No1,499,000$--------1,499,000$--------No--------Lien / Lien NHL
Joe SnivelySenators (OTT)C/LW301996-01-01USANo176 Lbs175 CMNoNoN/AYesNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Kevin MandoleseSenators (OTT)G262000-08-22CANNo180 Lbs193 CMNoNoN/ANoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Logan CooleySenators (OTT)C/LW222004-05-04USANo191 Lbs183 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matej BlumelSenators (OTT)LW/RW262000-05-31CZENo205 Lbs183 CMNoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Maveric LamoureuxSenators (OTT)D222004-01-13CANYes196 Lbs198 CMNoNoTrade2026-01-03NoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nils AmanSenators (OTT)C/LW/RW262000-02-07SWENo179 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Pavol RegendaSenators (OTT)LW/RW261999-12-07SVKNo211 Lbs193 CMNoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Scott MorrowSenators (OTT)D232002-11-01USAYes210 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Trey TaylorSenators (OTT)D242002-02-04CANNo190 Lbs188 CMNoNoTrade2025-10-20NoNo32025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Vyacheslav PeksaSenators (OTT)G242002-08-27RUSYes181 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.13191 Lbs188 CM2.13949,957$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cutter GauthierLogan CooleyNils Aman40122
2Matej BlumelGlenn GawdinJackson Blake30122
3Pavol RegendaJames MalatestaJoe Snively20122
4Chase WheatcroftJoe SnivelyDaniel Walcott10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowMaveric Lamoureux40122
2Artyom LevshunovFilip Roos30122
3Daniel WalcottDysin Mayo20122
4Trey TaylorScott Morrow10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cutter GauthierLogan CooleyNils Aman60122
2Matej BlumelGlenn GawdinJackson Blake40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowMaveric Lamoureux60122
2Artyom LevshunovFilip Roos40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyCutter Gauthier60122
2Nils AmanMatej Blumel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowMaveric Lamoureux60122
2Artyom LevshunovFilip Roos40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Cooley60122Scott MorrowMaveric Lamoureux60122
2Cutter Gauthier40122Artyom LevshunovFilip Roos40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan CooleyCutter Gauthier60122
2Nils AmanMatej Blumel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowMaveric Lamoureux60122
2Artyom LevshunovFilip Roos40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cutter GauthierLogan CooleyNils AmanScott MorrowMaveric Lamoureux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cutter GauthierLogan CooleyNils AmanScott MorrowMaveric Lamoureux
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daylan Kuefler, James Malatesta, Pavol RegendaDaylan Kuefler, James MalatestaPavol Regenda
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Walcott, Dysin Mayo, Trey TaylorDaniel WalcottDysin Mayo, Trey Taylor
Tirs de pénalité
Logan Cooley, Cutter Gauthier, Nils Aman, Matej Blumel, Jackson Blake
Gardien
#1 : Jet Greaves, #2 : Kevin Mandolese


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
1Americans74300000252324310000015123312000001011-180.57125406500342129425630429225817264616317627622.22%28678.57%046896248.65%494109245.24%21845248.23%625430682202348171
2Monsters7430000023230431000001513231200000810-280.57123406300342129420730429225817298925217921628.57%24675.00%046896248.65%494109245.24%21845248.23%625430682202348171
3Thunderbirds6420000017161321000009903210000087180.66717324900342129418630429225817162363614824416.67%17288.24%046896248.65%494109245.24%21845248.23%625430682202348171
4Wolves743000002324-13210000078-1422000001616080.57123365900342129422230429225817266603615520735.00%17476.47%046896248.65%494109245.24%21845248.23%625430682202348171
Total27161100000888621410400000464241367000004244-2320.5938814823600342129487130429225817990249187658922325.00%861879.07%046896248.65%494109245.24%21845248.23%625430682202348171
_Since Last GM Reset27161100000888621410400000464241367000004244-2320.5938814823600342129487130429225817990249187658922325.00%861879.07%046896248.65%494109245.24%21845248.23%625430682202348171
_Vs Conference211290000071701118300000373341046000003437-3240.5717111618700342129468530429225817828213151510681927.94%691676.81%046896248.65%494109245.24%21845248.23%625430682202348171
_Vs Division74300000252324310000015123312000001011-180.57125406500342129425630429225817264616317627622.22%28678.57%046896248.65%494109245.24%21845248.23%625430682202348171

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2732W38814823687199024918765800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
27161100008886
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1410400004642
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
136700004244
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
922325.00%861879.07%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
304292258173421294
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
46896248.65%494109245.24%21845248.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
625430682202348171


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 - 2026-04-202Americans1Senators2WSommaire du match
3 - 2026-04-2210Americans3Senators6WSommaire du match
5 - 2026-04-2418Senators5Americans3WSommaire du match
7 - 2026-04-2626Senators2Americans4LSommaire du match
9 - 2026-04-2834Americans4Senators2LSommaire du match
11 - 2026-04-3042Senators3Americans4LXSommaire du match
13 - 2026-05-0250Americans4Senators5WXSommaire du match
15 - 2026-05-0458Monsters5Senators3LSommaire du match
16 - 2026-05-0562Monsters2Senators3WSommaire du match
17 - 2026-05-0666Senators2Monsters5LSommaire du match
19 - 2026-05-0870Senators3Monsters4LXSommaire du match
20 - 2026-05-0974Monsters3Senators4WSommaire du match
21 - 2026-05-1078Senators3Monsters1WSommaire du match
22 - 2026-05-1182Monsters3Senators5WSommaire du match
23 - 2026-05-1285Senators3Wolves5LSommaire du match
24 - 2026-05-1387Senators0Wolves4LSommaire du match
25 - 2026-05-1489Wolves5Senators2LSommaire du match
26 - 2026-05-1591Wolves2Senators3WSommaire du match
27 - 2026-05-1693Senators6Wolves1WSommaire du match
29 - 2026-05-1895Wolves1Senators2WSommaire du match
30 - 2026-05-1997Senators7Wolves6WXSommaire du match
31 - 2026-05-2099Thunderbirds4Senators2LSommaire du match
32 - 2026-05-21100Thunderbirds2Senators3WSommaire du match
33 - 2026-05-22101Senators1Thunderbirds2LXSommaire du match
34 - 2026-05-23102Senators2Thunderbirds1WXSommaire du match
35 - 2026-05-24103Thunderbirds3Senators4WXSommaire du match
36 - 2026-05-25104Senators5Thunderbirds4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance41,91427,963
Assistance PCT99.80%99.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 4991 - 99.82% 153,018$2,142,251$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,184,900$ 2,184,900$ 500,000$0$
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$




Senators Leaders statistiques des joueurs (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

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

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

Senators Leaders statistiques des joueurs (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

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