Senators
GP: 59 | W: 33 | L: 23 | OTL: 3 | P: 69
GF: 224 | GA: 184 | PP%: 25.79% | PK%: 77.49%
DG: Alexandre Roberge | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #966 vs Condors
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Centre de jeu
Griffins
11-50-0, 22pts
0
FINAL
6 Senators
33-23-3, 69pts
Team Stats
L12StreakL1
8-22-0Home Record17-10-2
3-28-0Away Record16-13-1
0-10-0Last 10 Games5-5-0
2.93Buts par match 3.80
6.34Buts contre par match 3.12
16.56%Pourcentage en avantage numérique25.79%
63.74%Pourcentage en désavantage numérique77.49%
Senators
33-23-3, 69pts
4
FINAL
5 Marlies
33-24-4, 70pts
Team Stats
L1StreakOTL1
17-10-2Home Record19-12-2
16-13-1Away Record14-12-2
5-5-0Last 10 Games4-4-2
3.80Buts par match 4.07
3.12Buts contre par match 3.49
25.79%Pourcentage en avantage numérique25.67%
77.49%Pourcentage en désavantage numérique80.00%
Senators
33-23-3, 69pts
2026-03-03
Condors
39-18-4, 82pts
Statistiques d’équipe
L1SéquenceW5
17-10-2Fiche domicile20-9-0
16-13-1Fiche visiteur19-9-4
5-5-010 derniers matchs8-2-0
3.80Buts par match 3.98
3.12Buts contre par match 2.95
25.79%Pourcentage en avantage numérique20.92%
77.49%Pourcentage en désavantage numérique77.62%
Senators
33-23-3, 69pts
2026-03-05
Wranglers
24-30-5, 53pts
Statistiques d’équipe
L1SéquenceW1
17-10-2Fiche domicile11-14-4
16-13-1Fiche visiteur13-16-1
5-5-010 derniers matchs2-8-0
3.80Buts par match 3.34
3.12Buts contre par match 3.90
25.79%Pourcentage en avantage numérique19.08%
77.49%Pourcentage en désavantage numérique78.28%
Senators
33-23-3, 69pts
2026-03-07
Firebirds
15-40-5, 35pts
Statistiques d’équipe
L1SéquenceL3
17-10-2Fiche domicile5-24-1
16-13-1Fiche visiteur10-16-4
5-5-010 derniers matchs4-6-0
3.80Buts par match 3.47
3.12Buts contre par match 4.78
25.79%Pourcentage en avantage numérique24.50%
77.49%Pourcentage en désavantage numérique75.47%
Meneurs d'équipe
Clay StevensonVictoires
Clay Stevenson
27
Jaxson StauberPourcentage d’arrêts
Jaxson Stauber
0.94

Statistiques d’équipe
Buts pour
224
3.80 GFG
Tirs pour
2125
36.02 Avg
Pourcentage en avantage numérique
25.8%
41 GF
Début de zone offensive
41.6%
Buts contre
184
3.12 GAA
Tirs contre
2032
34.44 Avg
Pourcentage en désavantage numérique
77.5%
52 GA
Début de la zone défensive
40.4%
Information d’équipe

Directeur généralAlexandre Roberge
EntraîneurNolan Pratt
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,998
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs31


Historique d'équipe

Saison actuelle33-23-3 (69PTS)
Historique75-55-8 (0.543%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Mackie Samoskevich (R)0XX100.00673692717090866863666462676368075660222950,000$
2Ben Meyers (R)0XX100.00673691637185826471626361606769075640261950,000$
3Tye Kartye0X100.00854181677377876458606261656466075640241950,000$
4Brennan Othmann (R)0X100.00694073657384826458626163656264075630222950,000$
5Sasha Pastujov (R)0XX100.00633791627290766471656361656264075630222950,000$
6Sammy Walker (R)0XX100.00593687656679856366605657596668075620261950,000$
7Marc McLaughlin (R)0X100.00703888627574855865596357626668075620263925,000$
8Hunter McKown (R)0X100.00693984597881835665595857566365075610231950,000$
9Josh Dunne (R)0XX100.00784274588979775964575655586769075610262925,000$
10Otto Stenberg (R)0X100.00593695656877666367605664576062075610203950,000$
11Alexis Gendron (R)0X100.00553876616484745855546253606264075590212950,000$
12Daylan Kuefler (R)0X100.00705167567985665558545257536365075580232950,000$
13Arber Xhekaj0X100.00858858659484856330675966506568075650241950,000$
14Victor Mancini0X100.007740876689827263306558605063650756402342,500,000$
15Calle Rosen0X100.00653791667580866430655662507173075640312925,000$
16Filip Roos (R)0X100.00743985588680845630575258476668075610261950,000$
17Santeri Hatakka (R)0X100.00674077637680745730625465476466075610242950,000$
Rayé
1Gleb Veremyev0X100.00784373558771605459535057516264075580223999,999$
2Lian Bichsel (R)0X85.76785665669982756530646367526165075650212950,000$
3Cole McWard (R)0X100.00633792587674835630575559486466075600242950,000$
MOYENNE D’ÉQUIPE99.2970438163788178615260586056646607562
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 moyen
1Clay Stevenson (R)100.0077848085767577767577766675075670261950,000$
2Matt D. Murray100.0079858177787779787779786777075670273999,999$
Rayé
1Jaxson Stauber (R)100.0075827878747375747375746675075650261950,000$
MOYENNE D’ÉQUIPE100.007784808076757776757776667607566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Nolan Pratt65717868757076CAN503950,000$


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
1Ben MeyersSenators (OTT)C/LW5924366033320119942245115010.71%18136823.19371028135101122345053.29%44100120.8802000353
2Sasha PastujovSenators (OTT)LW/RW5934255932140641032036815816.75%13121920.6786142613510151036257.26%11700110.9701000542
3Lian BichselSenators (OTT)D5914405494401208914655929.59%95141423.9761218671330003170410.00%000000.7600000211
4Victor ManciniSenators (OTT)D59939482470101297510638698.49%80120420.415914471250111160020.00%000000.8000002303
5Mackie SamoskevichSenators (OTT)C/RW4020264614180721651965310210.20%17100325.092911237300041491053.51%134000000.9201000234
6Marc McLaughlinSenators (OTT)C5919254412280831191735511910.98%998616.71761334124000002050.96%125400000.8900000312
7Sammy WalkerSenators (OTT)C/RW59142842111002172160491268.75%899116.81191026126000001058.57%7000000.8500000124
8Arber XhekajSenators (OTT)D59932411613325251809532919.47%87143924.41549341340001156010.00%000100.5700131143
9Tye KartyeSenators (OTT)LW4117223925435175691433911311.89%1180219.5614512740111743050.54%9300010.9712001122
10Brennan OthmannSenators (OTT)LW5915183351209878155491059.68%1180813.7003310410004484055.36%11200000.8201000322
11Santeri HatakkaSenators (OTT)D59627331822067616118389.84%6093515.86000714000090100.00%000000.7100000121
12Calle RosenSenators (OTT)D34920291380273949272618.37%5568020.003141954011078110.00%000000.8500000203
13Filip RoosSenators (OTT)D599172615220942940132522.50%4890915.4200004000032200.00%000000.5700000102
14Josh DunneSenators (OTT)C/LW59613190360124967928617.59%775712.840002140000650152.97%72500000.5000000010
15Alexis GendronSenators (OTT)RW595914040335610026645.00%1695616.2100000000011049.69%15900000.2900000000
16Hunter McKownSenators (OTT)C594913137546759332564.30%55018.5000010000030053.05%59000000.5200000110
17Daylan KueflerSenators (OTT)LW543912418051143912417.69%84037.4700000000010043.75%1600000.6000000200
18Otto StenbergSenators (OTT)C595275007385222369.62%62995.08000150001221156.10%16400000.4700000000
19Gleb VeremyevSenators (OTT)C10000120500010.00%070.780000100001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne100522239761923855345158613522114667147310.50%5541668816.614170111337119723532139532952.80%508100340.7417134312832
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
1Clay StevensonSenators (OTT)50271830.9113.0728176314416170210.7504509472
2Matt D. MurraySenators (OTT)95400.8963.4653821312980000.000090001
3Jaxson StauberSenators (OTT)71100.9402.131970071160101.0003042000
Statistiques d’équipe totales ou en moyenne66332330.9103.0735538418220310310.85775951473


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexis GendronSenators (OTT)RW212003-12-30Yes175 Lbs5 ft9NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Arber XhekajSenators (OTT)D242001-01-30No240 Lbs6 ft4NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Ben MeyersSenators (OTT)C/LW261998-11-15Yes194 Lbs5 ft11NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Brennan OthmannSenators (OTT)LW222003-01-05Yes192 Lbs6 ft0NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Calle RosenSenators (OTT)D311994-02-02No188 Lbs6 ft1NoNoNo2Pro & Farm925,000$216,797$925,000$216,797$0$0$No925,000$Lien / Lien NHL
Clay StevensonSenators (OTT)G261999-03-03Yes195 Lbs6 ft4NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Cole McWardSenators (OTT)D242001-06-09Yes192 Lbs6 ft1NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Daylan KueflerSenators (OTT)LW232002-02-10Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Filip RoosSenators (OTT)D261999-01-05Yes190 Lbs6 ft4NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Gleb VeremyevSenators (OTT)C222003-06-28No205 Lbs6 ft4NoNoNo3Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$999,999$Lien / Lien NHL
Hunter McKownSenators (OTT)C232002-08-18Yes205 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Jaxson StauberSenators (OTT)G261999-04-27Yes174 Lbs6 ft3NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Josh DunneSenators (OTT)C/LW261998-12-08Yes211 Lbs6 ft4NoNoNo2Pro & Farm925,000$216,797$925,000$216,797$0$0$No925,000$Lien / Lien NHL
Lian Bichsel (sur la masse salariale)Senators (OTT)D212004-05-18Yes231 Lbs6 ft7NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$Yes950,000$Lien / Lien NHL
Mackie SamoskevichSenators (OTT)C/RW222002-11-15Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Marc McLaughlinSenators (OTT)C261999-07-26Yes202 Lbs6 ft0NoNoNo3Pro & Farm925,000$216,797$925,000$216,797$0$0$No925,000$925,000$Lien / Lien NHL
Matt D. MurraySenators (OTT)G271998-02-02No196 Lbs6 ft1NoNoNo3Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$999,999$Lien / Lien NHL
Otto StenbergSenators (OTT)C202005-05-29Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Sammy WalkerSenators (OTT)C/RW261999-06-07Yes180 Lbs5 ft10NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Santeri HatakkaSenators (OTT)D242001-01-15Yes191 Lbs6 ft1NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Sasha PastujovSenators (OTT)LW/RW222003-07-15Yes187 Lbs6 ft0NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Tye KartyeSenators (OTT)LW242001-04-30No202 Lbs5 ft11NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Victor Mancini (contrat à 1 volet)Senators (OTT)D232002-05-26No229 Lbs6 ft3NoNoNo4Pro & Farm2,500,000$585,938$2,500,000$585,938$2,500,000$585,938$No2,500,000$2,500,000$2,500,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.13197 Lbs6 ft11.911,018,478$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersMackie SamoskevichSasha Pastujov40122
2Tye KartyeMarc McLaughlinSammy Walker30122
3Brennan OthmannJosh DunneAlexis Gendron20122
4Ben MeyersHunter McKownSasha Pastujov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber Xhekaj40122
2Calle RosenVictor Mancini30122
3Filip RoosSanteri Hatakka20122
4Arber Xhekaj10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersBrennan OthmannSasha Pastujov60122
2Josh DunneMarc McLaughlinSammy Walker40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber Xhekaj60122
2Santeri HatakkaVictor Mancini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mackie SamoskevichBen Meyers60122
2Brennan OthmannSasha Pastujov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber Xhekaj60122
2Filip RoosVictor Mancini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sasha Pastujov60122Arber Xhekaj60122
2Ben Meyers40122Santeri HatakkaVictor Mancini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brennan OthmannBen Meyers60122
2Mackie SamoskevichSasha Pastujov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber Xhekaj60122
2Filip RoosVictor Mancini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersMackie SamoskevichSasha PastujovArber Xhekaj
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersMackie SamoskevichSasha PastujovArber Xhekaj
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Otto Stenberg, Brennan Othmann, Josh DunneOtto Stenberg, Brennan OthmannJosh Dunne
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Roos, Santeri Hatakka, Arber XhekajFilip RoosSanteri Hatakka,
Tirs de pénalité
Sammy Walker, Ben Meyers, Marc McLaughlin, Sasha Pastujov, Brennan Othmann
Gardien
#1 : Matt D. Murray, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Mackie Samoskevich, Ben Meyers, Tye Kartye, Sasha Pastujov, Brennan Othmann, Marc McLaughlin, Marc McLaughlin, Sammy Walker, Josh Dunne, Hunter McKown, Otto Stenberg
Lignes de défense personnalisées en prolongation
Arber Xhekaj, , Calle Rosen, Victor Mancini, Filip Roos


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
1Admirals21100000761110000004221010000034-120.50071320007969715586477057611955191853600.00%9277.78%01136218651.97%1102212351.91%51494654.33%150310631309405746384
2Americans2010010036-31010000024-21000010012-110.2503580079697155664770576119641612496116.67%6266.67%01136218651.97%1102212351.91%51494654.33%150310631309405746384
3Barracuda1010000025-3000000000001010000025-300.00024600796971530647705761193212618300.00%3233.33%01136218651.97%1102212351.91%51494654.33%150310631309405746384
4Bears210001004311000010023-11100000020230.75047110179697157464770576119732335514125.00%10280.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
5Bruins413000001215-32110000053220200000712-520.25012223401796971510564770576119166534210111218.18%21576.19%01136218651.97%1102212351.91%51494654.33%150310631309405746384
6Checkers220000001821611000000100101100000082641.00018314901796971510264770576119771926604375.00%8187.50%01136218651.97%1102212351.91%51494654.33%150310631309405746384
7Comets11000000211110000002110000000000021.00023500796971531647705761192368222150.00%40100.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
8Condors11000000651110000006510000000000021.00061117007969715376477057611937810363133.33%4175.00%11136218651.97%1102212351.91%51494654.33%150310631309405746384
9Crunch10001000431000000000001000100043121.000471100796971536647705761193314829200.00%4175.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
10Devils2200000010732200000010730000000000041.0001017270079697158064770576119611535385120.00%30100.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
11Eagles2020000049-51010000025-31010000024-200.00046100079697157964770576119621514596116.67%6183.33%01136218651.97%1102212351.91%51494654.33%150310631309405746384
12Firebirds1100000010371100000010370000000000021.00010182800796971545647705761191522453266.67%110.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
13Griffins330000002051522000000122101100000083561.00020375701796971516564770576119932433845120.00%9366.67%01136218651.97%1102212351.91%51494654.33%150310631309405746384
14Gulls11000000413000000000001100000041321.00048120079697152664770576119389623100.00%3166.67%01136218651.97%1102212351.91%51494654.33%150310631309405746384
15IceHogs2010001078-11010000013-21000001065120.50079160079697155664770576119832226598450.00%12283.33%01136218651.97%1102212351.91%51494654.33%150310631309405746384
16Marlies21100000981000000000002110000098120.50091625007969715806477057611980252457400.00%12375.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
17Monsters3120000068-2110000003122020000037-420.333612181079697159364770576119842126596116.67%11372.73%01136218651.97%1102212351.91%51494654.33%150310631309405746384
18Moose22000000633110000003211100000031241.00061117007969715606477057611981188573133.33%4175.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
19Penguins211000008801010000024-21100000064220.500816240079697157964770576119722412487342.86%60100.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
20Phantoms3100100111741000000123-12100100094550.83311213200796971593647705761191112332797114.29%16381.25%01136218651.97%1102212351.91%51494654.33%150310631309405746384
21Reign22000000642110000002111100000043141.000612180079697156564770576119592327658225.00%11190.91%01136218651.97%1102212351.91%51494654.33%150310631309405746384
22Roadrunners2010100036-3100010003211010000004-420.50034700796971574647705761195312662500.00%20100.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
23Rocket30300000612-61010000023-12020000049-500.0006101600796971594647705761191123322933133.33%11463.64%01136218651.97%1102212351.91%51494654.33%150310631309405746384
24Silver Knights21001000963110000005321000100043141.000916250079697151096477057611984211454600.00%7185.71%01136218651.97%1102212351.91%51494654.33%150310631309405746384
25Sound Tigers1010000035-21010000035-20000000000000.0003470079697153464770576119371025194125.00%5180.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
26Stars220000001064110000004221100000064241.0001016260079697156964770576119782318436350.00%8187.50%11136218651.97%1102212351.91%51494654.33%150310631309405746384
27Thunderbirds220000001239110000006151100000062441.00012203200796971510464770576119601912656350.00%6183.33%01136218651.97%1102212351.91%51494654.33%150310631309405746384
28Wild1010000047-3000000000001010000047-300.000481200796971548647705761193378365240.00%4250.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
29Wolf Pack211000008801010000045-11100000043120.5008152300796971556647705761197521225410330.00%11281.82%01136218651.97%1102212351.91%51494654.33%150310631309405746384
30Wolves2020000069-31010000023-11010000046-200.00061218007969715576477057611975241848200.00%9366.67%01136218651.97%1102212351.91%51494654.33%150310631309405746384
31Wranglers1010000045-11010000045-10000000000000.0004812007969715306477057611926710298225.00%5260.00%01136218651.97%1102212351.91%51494654.33%150310631309405746384
Total5928230421122418440291610011011117833301213031101131067690.585224399623147969715212564770576119203256856515951594125.79%2315277.49%21136218651.97%1102212351.91%51494654.33%150310631309405746384
_Since Last GM Reset5928230421122418440291610011011117833301213031101131067690.585224399623147969715212564770576119203256856515951594125.79%2315277.49%21136218651.97%1102212351.91%51494654.33%150310631309405746384
_Vs Conference341415022011281062216770010159431618780210069636350.5151282323601479697151204647705761191213345372869801923.75%1423376.76%01136218651.97%1102212351.91%51494654.33%150310631309405746384
_Vs Division1778011007251217430000031121910350110041392170.500721282000379697156386477057611962518416747335822.86%711973.24%01136218651.97%1102212351.91%51494654.33%150310631309405746384

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5969L122439962321252032568565159514
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5928234211224184
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291610110111178
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3012133110113106
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1594125.79%2315277.49%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
647705761197969715
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
1136218651.97%1102212351.91%51494654.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
150310631309405746384


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 - 2025-10-0911Senators4Crunch3AWXSommaire du match
5 - 2025-10-1127Senators8Checkers2AWSommaire du match
7 - 2025-10-1341Admirals2Senators4BWSommaire du match
9 - 2025-10-1557Senators1Americans2ALXSommaire du match
10 - 2025-10-1663Firebirds3Senators10BWSommaire du match
12 - 2025-10-1877Sound Tigers5Senators3BLSommaire du match
15 - 2025-10-2199Condors5Senators6BWSommaire du match
17 - 2025-10-23113Phantoms3Senators2BLXXSommaire du match
19 - 2025-10-25135Senators2Bears0AWSommaire du match
21 - 2025-10-27149Bruins3Senators2BLSommaire du match
22 - 2025-10-28160Senators6IceHogs5AWXXSommaire du match
24 - 2025-10-30168Wranglers5Senators4BLSommaire du match
26 - 2025-11-01187Senators2Rocket5ALSommaire du match
31 - 2025-11-06218Senators3Bruins7ALSommaire du match
33 - 2025-11-08232Senators4Phantoms3AWXSommaire du match
34 - 2025-11-09247Roadrunners2Senators3BWXSommaire du match
36 - 2025-11-11258Stars2Senators4BWSommaire du match
38 - 2025-11-13271Bruins0Senators3BWSommaire du match
40 - 2025-11-15286Reign1Senators2BWSommaire du match
45 - 2025-11-20329Senators4Gulls1AWSommaire du match
47 - 2025-11-22342Senators2Barracuda5ALSommaire du match
49 - 2025-11-24359Senators4Reign3AWSommaire du match
51 - 2025-11-26373Senators4Silver Knights3AWXSommaire du match
53 - 2025-11-28382Senators6Thunderbirds2AWSommaire du match
55 - 2025-11-30405Senators6Stars4AWSommaire du match
57 - 2025-12-02411Senators2Rocket4ALSommaire du match
59 - 2025-12-04427Wolf Pack5Senators4BLSommaire du match
61 - 2025-12-06445Thunderbirds1Senators6BWSommaire du match
64 - 2025-12-09467Devils3Senators4BWSommaire du match
66 - 2025-12-11486Senators3Monsters5ALSommaire du match
68 - 2025-12-13496Senators4Wild7ALSommaire du match
70 - 2025-12-15516Senators3Moose1AWSommaire du match
73 - 2025-12-18536Penguins4Senators2BLSommaire du match
75 - 2025-12-20551IceHogs3Senators1BLSommaire du match
76 - 2025-12-21564Senators4Bruins5ALSommaire du match
78 - 2025-12-23579Americans4Senators2BLSommaire du match
82 - 2025-12-27590Senators5Marlies3AWSommaire du match
84 - 2025-12-29606Monsters1Senators3BWSommaire du match
87 - 2026-01-01632Bears3Senators2BLXSommaire du match
89 - 2026-01-03650Moose2Senators3BWSommaire du match
91 - 2026-01-05664Griffins2Senators6BWSommaire du match
93 - 2026-01-07680Senators0Roadrunners4ALSommaire du match
94 - 2026-01-08691Senators2Eagles4ALSommaire du match
96 - 2026-01-10704Checkers0Senators10BWSommaire du match
99 - 2026-01-13725Comets1Senators2BWSommaire du match
100 - 2026-01-14737Senators4Wolf Pack3AWSommaire du match
103 - 2026-01-17758Rocket3Senators2BLSommaire du match
104 - 2026-01-18768Senators8Griffins3AWSommaire du match
106 - 2026-01-20782Senators0Monsters2ALSommaire du match
108 - 2026-01-22798Senators3Admirals4ALSommaire du match
110 - 2026-01-24813Wolves3Senators2BLSommaire du match
111 - 2026-01-25821Silver Knights3Senators5BWSommaire du match
114 - 2026-01-28841Eagles5Senators2BLSommaire du match
117 - 2026-01-31866Devils4Senators6BWSommaire du match
119 - 2026-02-02877Senators6Penguins4AWSommaire du match
120 - 2026-02-03888Senators4Wolves6ALSommaire du match
122 - 2026-02-05906Senators5Phantoms1AWSommaire du match
143 - 2026-02-26920Griffins0Senators6BWSommaire du match
145 - 2026-02-28940Senators4Marlies5ALSommaire du match
148 - 2026-03-03966Senators-Condors-
150 - 2026-03-05981Senators-Wranglers-
152 - 2026-03-071000Senators-Firebirds-
154 - 2026-03-091011Senators-Comets-
156 - 2026-03-111025Rocket-Senators-
159 - 2026-03-141043Gulls-Senators-
160 - 2026-03-151058Barracuda-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-Griffins-
171 - 2026-03-261138Penguins-Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281152Senators-Crunch-
176 - 2026-03-311181Senators-Checkers-
178 - 2026-04-021191Americans-Senators-
180 - 2026-04-041208Wild-Senators-
181 - 2026-04-051225Wolves-Senators-
183 - 2026-04-071234Crunch-Senators-
185 - 2026-04-091250Checkers-Senators-
187 - 2026-04-111262Senators-Sound Tigers-
188 - 2026-04-121279Senators-Devils-
191 - 2026-04-151304Marlies-Senators-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance57,95629,000
Assistance PCT99.92%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-19 2998 - 99.95% 62,462$1,811,400$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,326,398$ 2,092,500$ 1,997,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,595,623$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,186,779$ 45 15,846$ 713,070$




Senators Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Sammy Walker141506611693010325743811.42%30283620.12722297200046248.94%00.8201
2Ben Meyers1414766113393415928339411.93%31278119.737192645101137054.72%20.8113
3Tye Kartye123397010928924142514788.16%33264621.51315186812389154.15%10.8215
4Sasha Pastujov14151469740229918836114.13%22253217.9698173910159352.04%10.7701
5Jonatan Berggren813159900281682613937.89%27202725.035182357101123053.16%00.8903

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
1Clay Stevenson1326849100.9043.23746014840242010330.72711
2Matt D. Murray95400.8963.4653821312980000.0000
3Jaxson Stauber71100.9402.131970071160101.0003
4Jet Greaves101110.9442.0129900101800000.0002

Senators Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
20248240320161228527213412313002121511321941171901400134140-6922855198042510792842277292790591930276676754818842756322.91%2505976.40%21483297949.78%1501295650.78%696139649.86%1949134319286091069532
2025592823042112241844029161001101111783330121303110113106769224399623147969715212564770576119203256856515951594125.79%2315277.49%21136218651.97%1102212351.91%51494654.33%150310631309405746384
Total Saison régulière1416855058235094565370392301313262210527129320451024724611615099181427391861611557489715741610168049479813351113347943410423.96%48111176.92%42619516550.71%2603507951.25%1210234251.67%34522407323710141816917
Séries éliminatoires
2024514000001518-32110000064230300000914-5215264100663020162637601624224901616.25%11281.82%09419049.47%7115645.51%357745.45%13296105336231
Total Séries éliminatoires514000001518-32110000064230300000914-5215264100663020162637601624224901616.25%11281.82%09419049.47%7115645.51%357745.45%13296105336231

Senators Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Mackie Samoskevich533632261816.67%110721.43000400000062.50%01.1200
2Simon Edvinsson53364818111421.43%712124.3600060000000.00%00.9900
3Brennan Othmann5325-10521421.43%27314.77000000001020.00%01.3500
4Jonatan Berggren5235221112296.90%212224.45000600000038.89%00.8200
5Cole McWard51346054714.29%79218.5700000000000.00%00.8600

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
1Jet Greaves31200.8873.50137008710000.0000
2Clay Stevenson30200.8903.751600010910000.0000