Please rotate your device to landscape mode for a better experience.
Connexion

Senators
GP: 29 | W: 9 | L: 19 | OTL: 1 | P: 19
GF: 86 | GA: 95 | PP%: 20.43% | PK%: 76.74%
DG: Martin St-Jean | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #294 vs Penguins

Centre de jeu
Senators
9-19-1, 19pts
1
3 IceHogs
17-9-2, 36pts
Team Stats
L4SéquenceW2
5-8-1Fiche domicile10-5-0
4-11-0Fiche domicile7-4-2
3-7-0Derniers 10 matchs5-4-1
2.97Buts par match 2.86
3.28Buts contre par match 2.32
20.43%Pourcentage en avantage numérique15.22%
76.74%Pourcentage en désavantage numérique80.19%
Condors
11-12-5, 27pts
5
2 Senators
9-19-1, 19pts
Team Stats
W1SéquenceL4
6-5-3Fiche domicile5-8-1
5-7-2Fiche domicile4-11-0
4-5-1Derniers 10 matchs3-7-0
2.93Buts par match 2.97
3.14Buts contre par match 3.28
22.34%Pourcentage en avantage numérique20.43%
82.61%Pourcentage en désavantage numérique76.74%
Senators
9-19-1, 19pts
2026-01-17
Penguins
16-13-0, 32pts
Statistiques d’équipe
L4SéquenceL1
5-8-1Fiche domicile6-8-0
4-11-0Fiche visiteur10-5-0
3-7-010 derniers matchs5-5-0
2.97Buts par match 2.66
3.28Buts contre par match 2.66
20.43%Pourcentage en avantage numérique14.00%
76.74%Pourcentage en désavantage numérique83.56%
Stars
17-10-2, 36pts
2026-01-18
Senators
9-19-1, 19pts
Statistiques d’équipe
L1SéquenceL4
10-3-1Fiche domicile5-8-1
7-7-1Fiche visiteur4-11-0
7-3-010 derniers matchs3-7-0
2.34Buts par match 2.97
1.97Buts contre par match 2.97
14.95%Pourcentage en avantage numérique20.43%
86.41%Pourcentage en désavantage numérique76.74%
Senators
9-19-1, 19pts
2026-01-19
Roadrunners
15-12-0, 30pts
Statistiques d’équipe
L4SéquenceL1
5-8-1Fiche domicile6-8-0
4-11-0Fiche visiteur9-4-0
3-7-010 derniers matchs5-5-0
2.97Buts par match 2.19
3.28Buts contre par match 2.19
20.43%Pourcentage en avantage numérique11.65%
76.74%Pourcentage en désavantage numérique89.42%
Meneurs d'équipe
Noel AcciariButs
Noel Acciari
11
Passes
Tyler Kleven
16
Points
Tyler Kleven
22
Plus/Moins
David Jiricek
8
Victoires
Erik Portillo
6
Pourcentage d’arrêts
Erik Portillo
0.875

Statistiques d’équipe
Buts pour
86
2.97 GFG
Tirs pour
849
29.28 Avg
Pourcentage en avantage numérique
20.4%
19 GF
Début de zone offensive
41.4%
Buts contre
95
3.28 GAA
Tirs contre
742
25.59 Avg
Pourcentage en désavantage numérique
76.7%%
20 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralMartin St-Jean
EntraîneurBarry Trotz
DivisionAtlantic Division
ConférenceConférence EST
CapitaineNoel Acciari
Assistant #1Nick Perbix
Assistant #2Nathan Walker


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure21
Limite contact 51 / 70
Espoirs44


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
1Alex Kerfoot0X97.007040916567628964826868766372590407303113,500,000$
2Nathan Walker (A)0XX100.00847384706655856081626475546158040710311775,000$
3Noel Acciari (C)0XXX96.007540916575598858846262815469590407103412,000,000$
4Alex Steeves0XX100.00586169627468666756646966586358040700261775,000$
5Rory Kerins0XX99.00565871566369666870646866555855040690231846,667$
6Cole Guttman0XX100.00556167645769676670656363576257040680261950,000$
7Max Sasson0X100.00615282766759616170636265555958040680251950,000$
8Brett Berard0X97.00644980766257626155626463575757040680231925,000$
9Graeme Clarke0XX99.00555867656368666255616163575955040670241800,000$
10Nick Abruzzese0XX100.00546069616369666355636064576257040670262775,000$
11Lukas Rousek0XXX100.00555566566670676355655765546257040660261830,000$
12Nick Perbix (A)0X97.006240877878618959406561775460580407202731,125,000$
13Daniil Miromanov0XX97.595940867179686657406457775457580407102811,250,000$
14Tyler Kleven (R)0X99.006464877584617856406159795457580407102431,125,000$
15Nolan Allan (R)0X100.00634580747362655741635772555657040690221880,000$
16David Jiricek0X99.006140816278556253406558745456580406802211,918,333$
17Maveric Lamoureux (R)0X98.00586064747765625741605668555555040680222886,666$
18Ryan Ufko (R)0X100.00555770596571686141625867555654040670221925,000$
Rayé
1Hunter McKown0XX100.005557676167696661706059645457540406602311,366,667$
2Michael Milne0X100.00565668626768666156596164555855040660231950,000$
3Samu Tuomaala0X100.00555567596464626155615960605553040650231863,333$
4William Dufour0X100.00555566597466655955585861545754040640231925,000$
5Bryce Mcconnell-Barker (R)0X100.00555567576969665755575765545452040640211775,000$
6Denis Gurianov0XX100.00111111111111111040602912,900,000$
7Ryan Johnson (R)0X100.00565668597270675841595668556056040660241925,000$
8Marek Alscher (R)0X100.00555467577265645640575563545452040640211918,333$
9Jack Matier (R)0X100.00545469567363615640565463545553040630221801,667$
10Jack Peart (R)0X100.00555467586365645640565464545553040630221925,000$
MOYENNE D’ÉQUIPE99.2157527162676266585259586653575404065
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
1Dylan Garand0100.0070727256706769726571746155040700231902,500$
2Erik Portillo0100.0068676774685866666168606557040680251783,333$
Rayé
MOYENNE D’ÉQUIPE100.006970706569636869637067635604069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz85928185898357CAN6324,300,000$


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
1Tyler KlevenSenators (OTT)D2961622-9195584146151913.04%4265922.734591970000165110%000000.6700001200
2Noel AcciariSenators (OTT)C/LW/RW2911819140336465144416.92%453518.4833615960002751059.64%67400000.7101000221
3Nick PerbixSenators (OTT)D2941519-822043485012258.00%3666923.103692969000257200%000000.5700000111
4Nathan WalkerSenators (OTT)LW/RW2981018-4195724067124611.94%449417.0424614730002712047.22%3600000.7311010012
5Rory KerinsSenators (OTT)C/LW294141806033677017535.71%551417.7515612760001550054.35%59800000.7001000000
6Daniil MiromanovSenators (OTT)RW/D2541115-1006345318397.55%1445618.2725715690002350029.17%2400000.6611000010
7Max SassonSenators (OTT)C299615080252946103519.57%234111.7800000000000056.55%33600000.8800000200
8Alex SteevesSenators (OTT)C/LW29861404044508219489.76%750517.4321317740002540140.48%4200000.5511000003
9Cole GuttmanSenators (OTT)C/RW297714-9120305162223811.29%244115.23134442000010047.40%48100000.6300000021
10David JiricekSenators (OTT)D293101381403826327189.38%3759920.670111469000060000%000000.4300000000
11Brett BerardSenators (OTT)LW294812020025334316349.30%140513.9700015000000048.15%2700000.5900000001
12Nick AbruzzeseSenators (OTT)C/LW2921012-62023333014316.67%439213.5500000000000046.15%2600000.6100000010
13Samu TuomaalaSenators (OTT)RW20461022031102841514.29%125312.6900001000001028.57%1400000.7901000030
14Nolan AllanSenators (OTT)D18281031002120237188.70%1030416.91112933000028000%000000.6600000010
15Maveric LamoureuxSenators (OTT)D291910-525566262513214.00%2962521.57011532000026000%000000.3200100000
16Graeme ClarkeSenators (OTT)LW/RW29448-7605734497308.16%743615.060001110000232024.14%2900000.3700000001
17Hunter McKownSenators (OTT)C/RW243473402619388197.89%329312.2400012000030062.50%2400000.4800000001
18Ryan JohnsonSenators (OTT)D20123-1160391813377.69%2635917.9600021000004000%000000.1700000000
19Alex KerfootSenators (OTT)C9112-100712225124.55%014616.28000311000030064.29%1400000.2700000000
20Ryan UfkoSenators (OTT)D18022-220555330%51096.070001900008000%000000.3700000000
21Lukas RousekSenators (OTT)C/LW/RW7000000220000%0131.8700000000030075.00%40000000000000
22Michael MilneSenators (OTT)LW4000000000000%000.080000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne52286157243-361951568466284922655510.13%239855916.40193554162760000125799253.63%232900000.573611171211
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
1Erik PortilloSenators (OTT)2461700.8753.301274027056102100236110
2Dylan GarandSenators (OTT)113210.8722.9446900231800100.3336623000
Statistiques d’équipe totales ou en moyenne3591910.8743.201743029374103162929110


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
Alex KerfootSenators (OTT)C311994-08-11CANNo184 Lbs5 ft10NoNoAssign ManuallyNoNo12025-07-18FalseFalsePro & Farm3,500,000$0$0$No---------------------------Lien
Alex SteevesSenators (OTT)C/LW261999-12-10USANo202 Lbs6 ft0NoNoN/ANoNo12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Brett BerardSenators (OTT)LW232002-09-09USANo173 Lbs5 ft8NoNoProspectNoNo12025-09-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Bryce Mcconnell-BarkerSenators (OTT)C212004-06-04CANYes194 Lbs6 ft2NoNoProspectNoNo12025-10-26FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Cole GuttmanSenators (OTT)C/RW261999-04-06USANo168 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Daniil MiromanovSenators (OTT)RW/D281997-07-11RUSNo206 Lbs6 ft3NoNoN/ANoNo12025-09-05FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
David JiricekSenators (OTT)D222003-11-28CZENo204 Lbs6 ft3NoNoProspectNoNo12025-09-05FalseFalsePro & Farm1,918,333$0$0$No---------------------------Lien
Denis GurianovSenators (OTT)LW/RW291996-06-07RUSNo201 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm2,900,000$0$0$No---------------------------Lien NHL
Dylan GarandSenators (OTT)G232002-06-07CANNo172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Erik PortilloSenators (OTT)G252000-09-03SWENo218 Lbs6 ft6NoNoProspectNoNo12025-09-05FalseFalsePro & Farm783,333$0$0$No---------------------------Lien
Graeme ClarkeSenators (OTT)LW/RW242001-04-24USANo174 Lbs6 ft0NoNoN/ANoNo12025-09-05FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Hunter McKownSenators (OTT)C/RW232002-08-18USANo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,366,667$0$0$No---------------------------Lien
Jack MatierSenators (OTT)D222003-04-08CANYes196 Lbs6 ft5NoNoProspectNoNo12025-09-05FalseFalsePro & Farm801,667$0$0$No---------------------------Lien
Jack PeartSenators (OTT)D222003-05-15USAYes185 Lbs5 ft11NoNoProspectNoNo12025-10-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Lukas RousekSenators (OTT)C/LW/RW261999-04-20CZENo201 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm830,000$0$0$No---------------------------Lien
Marek AlscherSenators (OTT)D212004-04-07CZEYes205 Lbs6 ft3NoNoProspectNoNo12025-10-26FalseFalsePro & Farm918,333$0$0$No---------------------------Lien
Maveric LamoureuxSenators (OTT)D222004-01-13CANYes195 Lbs6 ft5NoNoProspectNoNo22025-09-05FalseFalsePro & Farm886,666$0$0$No886,666$--------886,666$--------No--------Lien
Max SassonSenators (OTT)C252000-09-05USANo180 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-05FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Michael MilneSenators (OTT)LW232002-09-21CANNo184 Lbs5 ft10NoNoProspectNoNo12025-09-05FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Nathan WalkerSenators (OTT)LW/RW311994-02-07GBRNo187 Lbs5 ft8NoNoAssign ManuallyYesYes12024-08-24FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nick AbruzzeseSenators (OTT)C/LW261999-06-04USANo183 Lbs5 ft11NoNoProspectNoNo22024-08-24FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Nick PerbixSenators (OTT)D271998-06-15USANo204 Lbs6 ft3NoNoTrade2024-11-11NoNo32025-09-05FalseFalsePro & Farm1,125,000$0$0$No1,125,000$1,125,000$-------1,125,000$1,125,000$-------NoNo-------Lien
Noel AcciariSenators (OTT)C/LW/RW341991-12-01USANo209 Lbs5 ft10NoNoAssign ManuallyYesYes12024-11-11FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Nolan AllanSenators (OTT)D222003-04-28CANYes193 Lbs6 ft2NoNoProspectNoNo12025-09-05FalseFalsePro & Farm880,000$0$0$No---------------------------Lien
Rory KerinsSenators (OTT)C/LW232002-04-12CANNo173 Lbs5 ft10NoNoAssign ManuallyNoNo12024-08-24FalseFalsePro & Farm846,667$0$0$No---------------------------Lien
Ryan JohnsonSenators (OTT)D242001-07-24USAYes193 Lbs6 ft0NoNoProspectNoNo12025-09-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Ryan UfkoSenators (OTT)D222003-05-07USAYes173 Lbs6 ft0NoNoProspectNoNo12025-10-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Samu TuomaalaSenators (OTT)RW232003-01-08FINNo190 Lbs5 ft11NoNoTrade2025-01-27NoNo12025-09-05FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Tyler KlevenSenators (OTT)D242002-01-10USAYes220 Lbs6 ft5NoNoProspectNoNo32025-09-05FalseFalsePro & Farm1,125,000$0$0$No1,125,000$1,125,000$-------1,125,000$1,125,000$-------NoNo-------Lien
William DufourSenators (OTT)RW232002-01-28CANNo212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.70192 Lbs6 ft11.201,142,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerNoel AcciariAlex Kerfoot25122
2Alex SteevesRory KerinsBrett Berard25122
3Nick AbruzzeseCole GuttmanGraeme Clarke25122
4Brett BerardMax SassonAlex Kerfoot25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler KlevenNick Perbix40122
2Maveric LamoureuxDavid Jiricek30122
3Nick PerbixMaveric Lamoureux30122
4Nick PerbixTyler Kleven0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerBrett BerardAlex Kerfoot60122
2Alex SteevesRory KerinsNoel Acciari40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixTyler Kleven60122
2Maveric LamoureuxDavid Jiricek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex KerfootNathan Walker60122
2Rory KerinsAlex Steeves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixTyler Kleven60122
2Maveric LamoureuxDavid Jiricek40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Walker60122Nick PerbixTyler Kleven60122
2Rory Kerins40122Maveric LamoureuxDavid Jiricek40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex KerfootNathan Walker60122
2Rory KerinsAlex Steeves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick PerbixTyler Kleven60122
2Maveric LamoureuxDavid Jiricek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerNoel AcciariAlex KerfootNick PerbixTyler Kleven
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerNoel AcciariAlex KerfootNick PerbixTyler Kleven
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rory Kerins, Cole Guttman, Brett BerardRory Kerins, Cole GuttmanRory Kerins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Jiricek, Maveric Lamoureux, Nick PerbixDavid JiricekDavid Jiricek, Maveric Lamoureux
Tirs de pénalité
Brett Berard, Alex Kerfoot, Nathan Walker, Alex Steeves, Rory Kerins
Gardien
#1 : Erik Portillo, #2 : Dylan Garand
Lignes d’attaque personnalisées en prolongation
Alex Kerfoot, Noel Acciari, Nathan Walker, Alex Steeves, Rory Kerins, Cole Guttman, Brett Berard, Max Sasson, Graeme Clarke, Nick Abruzzese
Lignes de défense personnalisées en prolongation
Nick Perbix, Tyler Kleven, Nolan Allan, David Jiricek, Maveric Lamoureux


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
1Americans20101000990201010009900000000000020.5009172600272730559243281318136615125810330.00%6266.67%051895954.01%46485054.59%26750652.77%681456666222398199
2Bears21100000761211000007610000000000020.500714210027273056624328131813501319524125.00%70100.00%051895954.01%46485054.59%26750652.77%681456666222398199
3Checkers1000000134-11000000134-10000000000010.50035800272730530243281318132413418100.00%2150.00%051895954.01%46485054.59%26750652.77%681456666222398199
4Condors413000001216-42110000089-12020000047-320.2501222340027273051082432813181310937268910220.00%13469.23%051895954.01%46485054.59%26750652.77%681456666222398199
5Eagles20101000610-4100010004311010000027-520.50061218002727305632432813181357231354700.00%4325.00%051895954.01%46485054.59%26750652.77%681456666222398199
6Griffins11000000615000000000001100000061521.000691500272730541243281318131766199444.44%30100.00%051895954.01%46485054.59%26750652.77%681456666222398199
7IceHogs30300000411-71010000003-32020000048-400.000481200272730586243281318138030186410220.00%8275.00%051895954.01%46485054.59%26750652.77%681456666222398199
8Manitoba Moose3210000015411211000009451100000060640.6671528430127273059524328131813632520756350.00%10280.00%051895954.01%46485054.59%26750652.77%681456666222398199
9Penguins30300000812-41010000034-12020000058-300.0008142200272730584243281318138322268010110.00%12375.00%051895954.01%46485054.59%26750652.77%681456666222398199
10Rocket21100000651000000000002110000065120.500611170027273055624328131813571410468337.50%5180.00%051895954.01%46485054.59%26750652.77%681456666222398199
11Silver Knights1010000013-21010000013-20000000000000.0001230027273052124328131813170915200.00%20100.00%051895954.01%46485054.59%26750652.77%681456666222398199
12Stars2020000048-41010000035-21010000013-200.000461010272730546243281318134720832600.00%40100.00%051895954.01%46485054.59%26750652.77%681456666222398199
13Wolves1010000014-3000000000001010000014-300.0001230027273053524328131813299632600.00%30100.00%051895954.01%46485054.59%26750652.77%681456666222398199
14Wranglers21100000422000000000002110000042220.5004711012727305592432813181343121850400.00%7271.43%051895954.01%46485054.59%26750652.77%681456666222398199
Total29719020018695-91438020014750-315411000003945-6190.3288615724312272730584924328131813742239195684931920.43%862076.74%051895954.01%46485054.59%26750652.77%681456666222398199
_Since Last GM Reset29719020018695-91438020014750-315411000003945-6190.3288615724312272730584924328131813742239195684931920.43%862076.74%051895954.01%46485054.59%26750652.77%681456666222398199
_Vs Conference21415010016273-111026010013538-31129000002735-8110.2626211317511272730559924328131813558185130494671420.90%631576.19%051895954.01%46485054.59%26750652.77%681456666222398199
_Vs Division113800000363605230000020173615000001619-360.273366610201272730532224328131813284937827632618.75%38976.32%051895954.01%46485054.59%26750652.77%681456666222398199

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2919L48615724384974223919568412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2971920018695
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
143820014750
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1541100003945
Derniers 10 matchs
WLOTWOTL SOWSOL
271000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
931920.43%862076.74%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
243281318132727305
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
51895954.01%46485054.59%26750652.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
681456666222398199


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 - 2025-11-236Manitoba Moose1Senators7WSommaire du match
5 - 2025-11-2520Checkers4Senators3LXXSommaire du match
6 - 2025-11-2628Senators2Rocket3LSommaire du match
8 - 2025-11-2837Senators3IceHogs5LSommaire du match
10 - 2025-11-3045Bears3Senators5WSommaire du match
13 - 2025-12-0359Americans4Senators5WXSommaire du match
14 - 2025-12-0465Senators6Manitoba Moose0WSommaire du match
16 - 2025-12-0673Senators1Condors2LSommaire du match
18 - 2025-12-0884Condors4Senators6WSommaire du match
20 - 2025-12-1098Silver Knights3Senators1LSommaire du match
22 - 2025-12-12103Senators2Penguins4LSommaire du match
24 - 2025-12-14118IceHogs3Senators0LSommaire du match
25 - 2025-12-15126Senators6Griffins1WSommaire du match
27 - 2025-12-17136Senators1Stars3LSommaire du match
29 - 2025-12-19141Senators1Wranglers2LSommaire du match
31 - 2025-12-21153Stars5Senators3LSommaire du match
33 - 2025-12-23162Senators1Wolves4LSommaire du match
35 - 2025-12-25171Senators3Penguins4LSommaire du match
37 - 2025-12-27180Manitoba Moose3Senators2LSommaire du match
39 - 2025-12-29192Bears3Senators2LSommaire du match
41 - 2025-12-31200Senators4Rocket2WSommaire du match
43 - 2026-01-02216Senators2Eagles7LSommaire du match
45 - 2026-01-04220Americans5Senators4LSommaire du match
47 - 2026-01-06235Eagles3Senators4WXSommaire du match
48 - 2026-01-07239Senators3Wranglers0WSommaire du match
50 - 2026-01-09251Penguins4Senators3LSommaire du match
51 - 2026-01-10263Senators3Condors5LSommaire du match
53 - 2026-01-12269Senators1IceHogs3LSommaire du match
55 - 2026-01-14280Condors5Senators2LSommaire du match
58 - 2026-01-17294Senators-Penguins-
59 - 2026-01-18299Stars-Senators-
60 - 2026-01-19306Senators-Roadrunners-
62 - 2026-01-21318Senators-Manitoba Moose-
64 - 2026-01-23327Eagles-Senators-
66 - 2026-01-25338Checkers-Senators-
67 - 2026-01-26349Senators-Eagles-
69 - 2026-01-28356Senators-Bruins-
71 - 2026-01-30366Condors-Senators-
73 - 2026-02-01378Stars-Senators-
75 - 2026-02-03386Senators-Checkers-
77 - 2026-02-05396Checkers-Senators-
79 - 2026-02-07408Griffins-Senators-
81 - 2026-02-09422Senators-Silver Knights-
83 - 2026-02-11436Bruins-Senators-
84 - 2026-02-12444Senators-Wolves-
86 - 2026-02-14453Wolves-Senators-
87 - 2026-02-15462Senators-IceHogs-
89 - 2026-02-17470Penguins-Senators-
91 - 2026-02-19481Senators-Rocket-
92 - 2026-02-20491Wolves-Senators-
94 - 2026-02-22499Senators-Wolves-
96 - 2026-02-24511Rocket-Senators-
97 - 2026-02-25520Senators-Checkers-
99 - 2026-02-27532Senators-Wolf Pack-
100 - 2026-02-28540Rocket-Senators-
102 - 2026-03-02551Wolves-Senators-
104 - 2026-03-04568Wranglers-Senators-
105 - 2026-03-05574Senators-Stars-
107 - 2026-03-07581Senators-Monsters-
109 - 2026-03-09591Senators-Condors-
111 - 2026-03-11599Wolf Pack-Senators-
112 - 2026-03-12614Americans-Senators-
114 - 2026-03-14623Senators-Roadrunners-
116 - 2026-03-16633Senators-Wolf Pack-
117 - 2026-03-17639Gulls-Senators-
119 - 2026-03-19652Manitoba Moose-Senators-
121 - 2026-03-21666Senators-Gulls-
122 - 2026-03-22671Rocket-Senators-
123 - 2026-03-23681Senators-Bruins-
125 - 2026-03-25694IceHogs-Senators-
127 - 2026-03-27703Senators-Gulls-
128 - 2026-03-28712Senators-Griffins-
129 - 2026-03-29718Bears-Senators-
131 - 2026-03-31732Silver Knights-Senators-
133 - 2026-04-02744Senators-Manitoba Moose-
135 - 2026-04-04752Roadrunners-Senators-
137 - 2026-04-06767Penguins-Senators-
138 - 2026-04-07773Senators-Bears-
139 - 2026-04-08780Senators-Americans-
141 - 2026-04-10792Monsters-Senators-
143 - 2026-04-12808Monsters-Senators-
144 - 2026-04-13815Senators-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 34,272,500$ 34,272,500$ 4,300,000$0$
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$ 91 264,195$ 24,041,745$




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