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Connexion

Senators
GP: 19 | W: 6 | L: 13 | OTL: 0 | P: 12
GF: 67 | GA: 93 | PP%: 37.50% | PK%: 63.64%
DG: Olivier Paquin | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #329 vs Admirals

Centre de jeu
Bruins
14-6-0, 28pts
8
FINAL
2 Senators
6-13-0, 12pts
Team Stats
W3SéquenceL3
8-3-0Fiche domicile3-8-0
6-3-0Fiche domicile3-5-0
7-3-0Derniers 10 matchs2-8-0
4.50Buts par match 3.53
3.90Buts contre par match 4.89
40.38%Pourcentage en avantage numérique37.50%
69.57%Pourcentage en désavantage numérique63.64%
Monarchs
7-11-1, 15pts
8
FINAL
4 Senators
6-13-0, 12pts
Team Stats
W1SéquenceL3
2-5-0Fiche domicile3-8-0
5-6-1Fiche domicile3-5-0
3-6-1Derniers 10 matchs2-8-0
3.84Buts par match 3.53
5.58Buts contre par match 4.89
12.70%Pourcentage en avantage numérique37.50%
63.16%Pourcentage en désavantage numérique63.64%
Senators
6-13-0, 12pts
2025-11-20
Admirals
12-5-1, 25pts
Statistiques d’équipe
L3SéquenceW1
3-8-0Fiche domicile5-1-0
3-5-0Fiche visiteur7-4-1
2-8-010 derniers matchs7-2-1
3.53Buts par match 5.22
4.89Buts contre par match 5.22
37.50%Pourcentage en avantage numérique51.67%
63.64%Pourcentage en désavantage numérique75.00%
Senators
6-13-0, 12pts
2025-11-22
Sags
13-4-2, 28pts
Statistiques d’équipe
L3SéquenceW2
3-8-0Fiche domicile7-2-1
3-5-0Fiche visiteur6-2-1
2-8-010 derniers matchs7-1-2
3.53Buts par match 4.74
4.89Buts contre par match 4.74
37.50%Pourcentage en avantage numérique30.00%
63.64%Pourcentage en désavantage numérique73.81%
Senators
6-13-0, 12pts
2025-11-24
Monarchs
7-11-1, 15pts
Statistiques d’équipe
L3SéquenceW1
3-8-0Fiche domicile2-5-0
3-5-0Fiche visiteur5-6-1
2-8-010 derniers matchs3-6-1
3.53Buts par match 3.84
4.89Buts contre par match 3.84
37.50%Pourcentage en avantage numérique12.70%
63.64%Pourcentage en désavantage numérique63.16%
Meneurs d'équipe
Buts
Braeden Bowman
15
Passes
Nikita Chibrikov
14
Points
Braeden Bowman
28
Plus/Moins
Jon-Randall Avon
-1
Victoires
Joe Vrbetic
6
Pourcentage d’arrêts
Joe Vrbetic
0.833

Statistiques d’équipe
Buts pour
67
3.53 GFG
Tirs pour
436
22.95 Avg
Pourcentage en avantage numérique
37.5%
18 GF
Début de zone offensive
32.3%
Buts contre
93
4.89 GAA
Tirs contre
502
26.42 Avg
Pourcentage en désavantage numérique
63.6%%
16 GA
Début de la zone défensive
33.1%
Informations de l'équipe

Directeur généralOlivier Paquin
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,912
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs23


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
1Braeden Bowman (R)XXX100.0060416862626261614261575761505005058N0211620,000$
2Alex Beaucage (R)X100.00624171656562595640525158575150050570231878,333$
3Nikita Chibrikov (R)X100.00564269636262606243595651605050050570212875,833$
4Riley Duran (R)X100.00614172646363615941525558595150050570222620,000$
5Jacob Perreault (R)X100.00564564626563625942565351585150050560221620,000$
6Jon-Randall Avon (R)X100.00554172656062596042555452595050050560211620,000$
7Jordan Dumais (R)X100.00574067625859575741555455585050050560203860,000$
8Nathan Aspinall (R)XXX100.0062406658645553544053535555505005055N0182620,000$
9Lukas Svejkovsky (R)X100.00534069645654535439504853565050050530221620,000$
10Isaak Phillips (R)X100.006447646872716564406057656359500506302311,175,000$
11Artyom Levshunov (R)X100.00584069677777596440635960635150050620183975,000$
12Angus Booth (R)X100.0060426366616159584057556460505005059N0201620,000$
13Zach Uens (R)X100.00524463666349484838434358535050050540231859,167$
Rayé
1Jaret Anderson-Dolan (R)XX100.00594274676972696346605757627556050610252620,000$
2Isaac Ratcliffe (R)X100.00624365606864625641525256565450050560251620,000$
3Akito Hirose (R)X100.00554170706067625940545464605350050600251900,000$
MOYENNE D’ÉQUIPE100.0058426864646359584155545759535005058
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
1Joe Vrbetic (R)100.0057555366575557495452475042050510211560,000$
Rayé
1Olivier Rodrigue (R)100.007464695768697369717060525005062N0241620,000$
MOYENNE D’ÉQUIPE100.006660616263626559636154514605057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Braeden BowmanSenators (Ott)C/LW/RW19151328-21135293466253622.73%943823.05681414320002310048.21%4481211031.2801010212
2Nikita ChibrikovSenators (Ott)RW1991423-151410202663134414.29%1039220.655499330003120245.45%33139011.1711011210
3Isaak PhillipsSenators (Ott)D1921416-152152725351175.71%3448925.7826844100012900100.00%2924000.6511100001
4Riley DuranSenators (Ott)C196814-1040252338112215.79%838920.481238260002332046.63%193714000.7201000120
5Alex BeaucageSenators (Ott)RW194913-76028224112169.76%935718.800111280112110023.08%1338000.7301000001
6Jacob PerreaultSenators (Ott)RW195813-1320291935102314.29%1036719.32112327000000033.33%151412000.7100000001
7Jordan DumaisSenators (Ott)RW1911213-2115212132132134.38%430215.9010128000092050.00%10613000.8601001212
8Jon-Randall AvonSenators (Ott)C193912-120122229122410.34%429715.6601106000181157.00%10064000.8100000121
9Artyom LevshunovSenators (Ott)D192810-148013153116136.45%1946324.40123541000031000%1928000.4300000000
10Lukas SvejkovskySenators (Ott)C19268-64021232110189.52%429415.4900002000010133.33%6969000.5400000011
11Nathan AspinallSenators (Ott)C/LW/RW19628-1610028162351926.09%1539520.831014341014160066.67%3348000.4000000020
12Angus BoothSenators (Ott)D19044-1260121310550%2037319.670220250110260050.00%4321000.2100000000
13Zach UensSenators (Ott)D19011-106013154430%1535918.91000024000028000%1122000.0600000001
Statistiques d’équipe totales ou en moyenne2476598163-1421072527827442814725115.19%161492019.9218274550333123152415447.72%92293183040.662612281010
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
1Joe VrbeticSenators (Ott)1961000.8334.2810092072432238110.8336190000
Statistiques d’équipe totales ou en moyenne1961000.8334.2810092072432238116190000


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
Akito Hirose (contrat à 1 volet)Senators (Ott)D251999-04-09CANYes170 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Alex BeaucageSenators (Ott)RW232001-07-25CANYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm878,333$0$0$No---------------------------Lien
Angus Booth (contrat à 1 volet)Senators (Ott)D202004-04-27CANYes176 Lbs6 ft1YesNoFree AgentNoNo12025-09-14FalseFalsePro & Farm620,000$0$0$No---------826,667$826,667$----------------Lien
Artyom LevshunovSenators (Ott)D182005-10-28BLRYes208 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Braeden Bowman (contrat à 1 volet)Senators (Ott)C/LW/RW212003-06-26CANYes194 Lbs6 ft2YesNoFree AgentNoNo12025-09-14FalseFalsePro & Farm620,000$0$0$No---------837,500$837,500$----------------Lien
Isaac RatcliffeSenators (Ott)LW251999-02-15CANYes201 Lbs6 ft6NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Isaak PhillipsSenators (Ott)D232001-09-28CANYes194 Lbs6 ft3NoNoFree AgentNoNo12024-09-11FalseFalsePro & Farm1,175,000$0$0$No---------------------------Lien
Jacob Perreault (contrat à 1 volet)Senators (Ott)RW222002-04-15CANYes196 Lbs6 ft0NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jaret Anderson-DolanSenators (Ott)C/RW251999-09-12CANYes187 Lbs5 ft11NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Joe VrbeticSenators (Ott)G212002-10-24CANYes190 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Jon-Randall AvonSenators (Ott)C212003-07-04CANYes174 Lbs6 ft0NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jordan DumaisSenators (Ott)RW202004-04-15CANYes174 Lbs5 ft9NoNoProspectNoNo32025-07-10FalseFalsePro & Farm860,000$0$0$No860,000$860,000$-------860,000$860,000$-------NoNo-------Lien
Lukas Svejkovsky (contrat à 1 volet)Senators (Ott)C222001-11-28USAYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Nathan Aspinall (contrat à 1 volet)Senators (Ott)C/LW/RW182006-03-30CANYes190 Lbs6 ft7YesNoFree AgentNoNo22025-09-14FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$620,000$-------No--------Lien
Nikita ChibrikovSenators (Ott)RW212003-02-16RUSYes194 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm875,833$0$0$No875,833$--------875,833$--------No--------Lien
Olivier Rodrigue (contrat à 1 volet)Senators (Ott)G242000-07-06CANYes159 Lbs6 ft1YesNoFree Agent2024-10-17NoYes12025-09-14FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Riley Duran (contrat à 1 volet)Senators (Ott)C222002-01-25USAYes181 Lbs6 ft2NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Zach UensSenators (Ott)D232001-05-13CANYes181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1821.89185 Lbs6 ft11.44737,963$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan AspinallBraeden BowmanNikita Chibrikov40122
2Jacob PerreaultRiley DuranAlex Beaucage30122
3Lukas SvejkovskyJon-Randall AvonJordan Dumais20122
4Braeden BowmanLukas SvejkovskyJacob Perreault10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsArtyom Levshunov40122
2Angus BoothZach Uens30122
320122
4Isaak PhillipsArtyom Levshunov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan AspinallBraeden BowmanNikita Chibrikov60122
2Jacob PerreaultRiley DuranAlex Beaucage40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsArtyom Levshunov60122
2Angus BoothZach Uens40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Braeden BowmanRiley Duran60122
2Nikita ChibrikovAlex Beaucage40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsArtyom Levshunov60122
2Angus BoothZach Uens40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Braeden Bowman60122Isaak PhillipsArtyom Levshunov60122
2Riley Duran40122Angus BoothZach Uens40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Braeden BowmanRiley Duran60122
2Nikita ChibrikovAlex Beaucage40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsArtyom Levshunov60122
2Angus BoothZach Uens40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan AspinallBraeden BowmanNikita ChibrikovIsaak PhillipsArtyom Levshunov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan AspinallBraeden BowmanNikita ChibrikovIsaak PhillipsArtyom Levshunov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Dumais, Jon-Randall Avon, Nathan AspinallJordan Dumais, Jon-Randall AvonNathan Aspinall
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Angus Booth, Zach Uens, Isaak PhillipsAngus BoothZach Uens, Isaak Phillips
Tirs de pénalité
Braeden Bowman, Riley Duran, Nikita Chibrikov, Alex Beaucage, Jordan Dumais
Gardien
#1 : Joe Vrbetic, #2 :


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
1Baby Hawks1010000046-2000000000001010000046-200.000461000733244278318016712331310224250.00%5180.00%014729849.33%15130549.51%14231944.51%328144409183409207
2Bears11000000532000000000001100000053221.0005712007332442383180167122572215240.00%110.00%014729849.33%15130549.51%14231944.51%328144409183409207
3Bruins31200000714-721100000510-51010000024-220.33371118007332447483180167127724644200.00%3233.33%014729849.33%15130549.51%14231944.51%328144409183409207
4Cabaret Lady Mary Ann10000010541000000000001000001054121.000551000733244238318016712317474250.00%20100.00%014729849.33%15130549.51%14231944.51%328144409183409207
5Crunch10001000321000000000001000100032121.000358007332442683180167122912420100.00%2150.00%014729849.33%15130549.51%14231944.51%328144409183409207
6Firebirds1010000058-31010000058-30000000000000.0005712007332442783180167124586134250.00%330.00%014729849.33%15130549.51%14231944.51%328144409183409207
7Heat1010000078-11010000078-10000000000000.00079160073324420831801671231139163266.67%2150.00%114729849.33%15130549.51%14231944.51%328144409183409207
8Jayhawks11000000936110000009360000000000021.000915240073324435831801671228116155480.00%30100.00%014729849.33%15130549.51%14231944.51%328144409183409207
9Monarchs1010000048-41010000048-40000000000000.00046100073324421831801671230818215120.00%4175.00%014729849.33%15130549.51%14231944.51%328144409183409207
10Oil Kings1010000013-21010000013-20000000000000.000112007332442383180167122515612100.00%3166.67%014729849.33%15130549.51%14231944.51%328144409183409207
11Phantoms20200000210-81010000004-41010000026-400.0002460073324439831801671236151326400.00%4250.00%014729849.33%15130549.51%14231944.51%328144409183409207
12Roadrunners10001000431100010004310000000000021.00047110073324426831801671214929000%10100.00%014729849.33%15130549.51%14231944.51%328144409183409207
13Rocket10100000711-40000000000010100000711-400.000713200073324433831801671226213172150.00%4175.00%014729849.33%15130549.51%14231944.51%328144409183409207
14Sound Tigers1010000013-21010000013-20000000000000.00011200733244983180167122464232150.00%220.00%014729849.33%15130549.51%14231944.51%328144409183409207
15Stars1010000024-21010000024-20000000000000.000235007332442283180167122617415200.00%20100.00%014729849.33%15130549.51%14231944.51%328144409183409207
16Thunder1010000013-2000000000001010000013-200.00012310733244883180167122276104125.00%30100.00%014729849.33%15130549.51%14231944.51%328144409183409207
Total19313020106793-261128010003854-16815010102939-10120.31667102169107332444368318016712502174113291481837.50%441663.64%114729849.33%15130549.51%14231944.51%328144409183409207
_Since Last GM Reset19313020106793-261128010003854-16815010102939-10120.31667102169107332444368318016712502174113291481837.50%441663.64%114729849.33%15130549.51%14231944.51%328144409183409207
_Vs Conference1027010002444-20614010001428-14413000001016-660.300243862107332442008318016712228765115422522.73%18855.56%014729849.33%15130549.51%14231944.51%328144409183409207

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1912L36710216943650217411329110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1931320106793
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
112810003854
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
81510102939
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481837.50%441663.64%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
8318016712733244
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
14729849.33%15130549.51%14231944.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
328144409183409207


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 - 2025-10-0911Senators1Thunder3LSommaire du match
5 - 2025-10-1127Senators5Cabaret Lady Mary Ann4WXXSommaire du match
7 - 2025-10-1341Jayhawks3Senators9WSommaire du match
9 - 2025-10-1557Senators3Crunch2WXSommaire du match
10 - 2025-10-1663Firebirds8Senators5LSommaire du match
12 - 2025-10-1877Sound Tigers3Senators1LSommaire du match
15 - 2025-10-2199Oil Kings3Senators1LSommaire du match
17 - 2025-10-23112Phantoms4Senators0LSommaire du match
19 - 2025-10-25135Senators5Bears3WSommaire du match
21 - 2025-10-27149Bruins2Senators3WSommaire du match
22 - 2025-10-28160Senators4Baby Hawks6LSommaire du match
24 - 2025-10-30168Heat8Senators7LSommaire du match
26 - 2025-11-01187Senators7Rocket11LSommaire du match
31 - 2025-11-06218Senators2Bruins4LSommaire du match
33 - 2025-11-08232Senators2Phantoms6LSommaire du match
34 - 2025-11-09247Roadrunners3Senators4WXSommaire du match
36 - 2025-11-11258Stars4Senators2LSommaire du match
38 - 2025-11-13271Bruins8Senators2LSommaire du match
40 - 2025-11-15286Monarchs8Senators4LSommaire du match
45 - 2025-11-20329Senators-Admirals-
47 - 2025-11-22342Senators-Sags-
49 - 2025-11-24359Senators-Monarchs-
51 - 2025-11-26373Senators-Las Vegas-
53 - 2025-11-28382Senators-Chiefs-
55 - 2025-11-30405Senators-Stars-
57 - 2025-12-02411Senators-Rocket-
59 - 2025-12-04427Wolf Pack-Senators-
61 - 2025-12-06445Chiefs-Senators-
64 - 2025-12-09467Spiders-Senators-
66 - 2025-12-11486Senators-Monsters-
68 - 2025-12-13496Senators-Minnesota-
70 - 2025-12-15516Senators-Oceanics-
73 - 2025-12-18537Manchots-Senators-
75 - 2025-12-20551Baby Hawks-Senators-
76 - 2025-12-21564Senators-Bruins-
78 - 2025-12-23578Crunch-Senators-
82 - 2025-12-27590Senators-Marlies-
84 - 2025-12-29606Monsters-Senators-
87 - 2026-01-01632Bears-Senators-
89 - 2026-01-03650Oceanics-Senators-
91 - 2026-01-05664Cougars-Senators-
93 - 2026-01-07680Senators-Roadrunners-
94 - 2026-01-08691Senators-Monsters-
96 - 2026-01-10704Cabaret Lady Mary Ann-Senators-
99 - 2026-01-13725Comets-Senators-
100 - 2026-01-14737Senators-Wolf Pack-
103 - 2026-01-17758Rocket-Senators-
104 - 2026-01-18768Senators-Cougars-
106 - 2026-01-20782Senators-Monsters-
108 - 2026-01-22798Senators-Jayhawks-
110 - 2026-01-24813Caroline-Senators-
111 - 2026-01-25821Las Vegas-Senators-
114 - 2026-01-28841Monsters-Senators-
117 - 2026-01-31866Spiders-Senators-
119 - 2026-02-02877Senators-Manchots-
120 - 2026-02-03890Senators-Caroline-
122 - 2026-02-05907Senators-Phantoms-
143 - 2026-02-26920Cougars-Senators-
145 - 2026-02-28939Senators-Marlies-
148 - 2026-03-03966Senators-Oil Kings-
150 - 2026-03-05981Senators-Heat-
152 - 2026-03-071000Senators-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091011Senators-Comets-
156 - 2026-03-111025Rocket-Senators-
159 - 2026-03-141043Admirals-Senators-
160 - 2026-03-151058Sags-Senators-
163 - 2026-03-181079Senators-Bears-
164 - 2026-03-191084Sound Tigers-Senators-
166 - 2026-03-211106Marlies-Senators-
168 - 2026-03-231119Senators-Wolf Pack-
169 - 2026-03-241122Senators-Cougars-
171 - 2026-03-261138Manchots-Senators-
173 - 2026-03-281152Senators-Thunder-
176 - 2026-03-311181Senators-Cabaret Lady Mary Ann-
178 - 2026-04-021191Crunch-Senators-
180 - 2026-04-041208Minnesota-Senators-
181 - 2026-04-051225Caroline-Senators-
183 - 2026-04-071234Thunder-Senators-
185 - 2026-04-091249Cabaret Lady Mary Ann-Senators-
187 - 2026-04-111262Senators-Sound Tigers-
188 - 2026-04-121279Senators-Spiders-
191 - 2026-04-151304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance13,7297,303
Assistance PCT62.40%66.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-8 1912 - 63.73% 90,819$999,012$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
170,888$ 804,333$ 804,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,168$ 170,888$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,724,578$ 152 4,168$ 633,536$




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