Senators
GP: 82 | W: 48 | L: 29 | OTL: 5 | P: 101
GF: 323 | GA: 252 | PP%: 23.61% | PK%: 78.98%
DG: Alexandre Roberge | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Senators
48-29-5, 101pts
3
FINAL
5 Devils
43-33-6, 92pts
Team Stats
L2StreakL1
25-13-3Home Record25-12-4
23-16-2Away Record18-21-2
7-2-1Last 10 Games5-4-1
3.94Buts par match 4.01
3.07Buts contre par match 3.84
23.61%Pourcentage en avantage numérique25.00%
78.98%Pourcentage en désavantage numérique76.61%
Marlies
46-32-4, 96pts
3
FINAL
2 Senators
48-29-5, 101pts
Team Stats
W3StreakL2
22-17-2Home Record25-13-3
24-15-2Away Record23-16-2
6-4-0Last 10 Games7-2-1
3.91Buts par match 3.94
3.34Buts contre par match 3.07
22.78%Pourcentage en avantage numérique23.61%
82.40%Pourcentage en désavantage numérique78.98%
Meneurs d'équipe
Clay StevensonVictoires
Clay Stevenson
27
Jaxson StauberPourcentage d’arrêts
Jaxson Stauber
0.94

Statistiques d’équipe
Buts pour
323
3.94 GFG
Tirs pour
3058
37.29 Avg
Pourcentage en avantage numérique
23.6%
51 GF
Début de zone offensive
42.3%
Buts contre
252
3.07 GAA
Tirs contre
2753
33.57 Avg
Pourcentage en désavantage numérique
79.0%
62 GA
Début de la zone défensive
39.8%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,999
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 80
Espoirs31


Historique d'équipe

Saison actuelle48-29-5 (101PTS)
Historique90-61-11 (0.556%)
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$
14Lian Bichsel (R)0X100.00785665669982756530646367526165075650212950,000$
15Victor Mancini0X100.007740876689827263306558605063650756402342,500,000$
16Calle Rosen0X100.00653791667580866430655662507173075640312925,000$
17Filip Roos (R)0X100.00743985588680845630575258476668075610261950,000$
18Santeri Hatakka (R)0X100.00674077637680745730625465476466075610242950,000$
19Cole McWard (R)0X100.00633792587674835630575559486466075600242950,000$
Rayé
1Gleb Veremyev0X100.00784373558771605459535057516264075580223999,999$
MOYENNE D’ÉQUIPE100.0070438163788178615260586056646607562
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/LW8232508249340145131330742329.70%21194323.704101440186202153036154.64%49600120.8404000357
2Victor ManciniSenators (OTT)D8213597245911519310014850918.78%113167620.445914631750113205020.00%000000.8600102424
3Lian BichselSenators (OTT)D7916516710580136102165691119.70%111167421.2061218671330003176410.00%000000.8000000211
4Sammy WalkerSenators (OTT)C/RW8225416628120361102476920710.12%9142317.362121436176000002162.86%10500010.9302000365
5Sasha PastujovSenators (OTT)LW/RW7837286538140721082247418216.52%14133617.1386142614310151066356.56%12200110.9701000642
6Marc McLaughlinSenators (OTT)C8224406430320113169245731769.80%12142917.439817431740110114153.65%181000000.9002000424
7Arber XhekajSenators (OTT)D821449633016525335115159421308.81%135202124.656612681870001204110.00%000100.6200131163
8Tye KartyeSenators (OTT)LW63273562365152731222296516811.79%15128220.351562011701111015052.55%60700010.9712001435
9Brennan OthmannSenators (OTT)LW8229275641801311132658017610.94%14124015.1225723940005879055.56%25200000.9001000422
10Mackie SamoskevichSenators (OTT)C/RW5723275017180791832176311910.60%17110419.372911237300041551153.83%146200000.9101000235
11Calle RosenSenators (OTT)D5711395034155547675384514.67%93115620.2932523750221109110.00%000000.8600010313
12Santeri HatakkaSenators (OTT)D8110334316240817084254711.90%71112613.9131422400000110200.00%000000.7600000122
13Filip RoosSenators (OTT)D82102737144201284776244913.16%76134516.410221458000284210.00%000000.5500000102
14Josh DunneSenators (OTT)C/LW811123341460175148117361009.40%8112213.8601155900001071155.00%115100000.6100000111
15Hunter McKownSenators (OTT)C8214122620415899615440919.09%890511.05000110002190053.38%69500000.5700000223
16Alexis GendronSenators (OTT)RW8281422-1603770158331045.06%20129715.8200001000011049.74%18900000.3400000000
17Otto StenbergSenators (OTT)C82148221440127497338714.43%106457.880001120001222154.46%21300100.6800000020
18Cole McWardSenators (OTT)D24012121140121518790.00%2335214.6700002000019000.00%000000.6800000000
19Daylan KueflerSenators (OTT)LW663912418051143912417.69%84066.1600000000030043.75%1600000.5900000200
20Gleb VeremyevSenators (OTT)C31000020500010.00%0130.4300001000040066.67%300000.0000000000
Statistiques d’équipe totales ou en moyenne143732158490540069555215718633047907216610.53%7782350416.3651881394751714358431834471554.01%712100450.77113244434249
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)53271840.9123.0029256314616610210.66765032472
2Matt D. MurraySenators (OTT)32201010.9033.10181822949740110.6673320302
3Jaxson StauberSenators (OTT)71100.9402.131970071160101.0003042000
Statistiques d’équipe totales ou en moyenne92482950.9103.0049418524727510420.750128274774


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$950,000$0$0$No950,000$Lien / Lien NHL
Arber XhekajSenators (OTT)D242001-01-30No240 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Ben MeyersSenators (OTT)C/LW261998-11-15Yes194 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Brennan OthmannSenators (OTT)LW222003-01-05Yes192 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Calle RosenSenators (OTT)D311994-02-02No188 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Clay StevensonSenators (OTT)G261999-03-03Yes195 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Cole McWardSenators (OTT)D242001-06-09Yes192 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Daylan KueflerSenators (OTT)LW232002-02-10Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Filip RoosSenators (OTT)D261999-01-05Yes190 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gleb VeremyevSenators (OTT)C222003-06-28No205 Lbs6 ft4NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Hunter McKownSenators (OTT)C232002-08-18Yes205 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jaxson StauberSenators (OTT)G261999-04-27Yes174 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Josh DunneSenators (OTT)C/LW261998-12-08Yes211 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Lian BichselSenators (OTT)D212004-05-18Yes231 Lbs6 ft7NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Mackie SamoskevichSenators (OTT)C/RW222002-11-15Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Marc McLaughlinSenators (OTT)C261999-07-26Yes202 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien / Lien NHL
Matt D. MurraySenators (OTT)G271998-02-02No196 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Otto StenbergSenators (OTT)C202005-05-29Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Sammy WalkerSenators (OTT)C/RW261999-06-07Yes180 Lbs5 ft10NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Santeri HatakkaSenators (OTT)D242001-01-15Yes191 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sasha PastujovSenators (OTT)LW/RW222003-07-15Yes187 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tye KartyeSenators (OTT)LW242001-04-30No202 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Victor Mancini (contrat à 1 volet)Senators (OTT)D232002-05-26No229 Lbs6 ft3NoNoNo4Pro & Farm2,500,000$2,500,000$2,500,000$0$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 MeyersTye KartyeOtto Stenberg40122
2Hunter McKownMarc McLaughlinSammy Walker30122
3Brennan OthmannMackie SamoskevichAlexis Gendron20122
4Ben MeyersHunter McKownTye Kartye10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajLian Bichsel40122
2Calle RosenVictor Mancini30122
3Filip RoosCole McWard20122
4Arber XhekajCalle Rosen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ben MeyersBrennan OthmannTye Kartye60122
2Otto StenbergMarc McLaughlinSammy Walker40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajFilip Roos60122
2Calle RosenVictor Mancini40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Marc McLaughlinBen Meyers60122
2Brennan OthmannTye Kartye40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajCalle Rosen60122
2Filip RoosVictor Mancini40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brennan Othmann60122Arber XhekajFilip Roos60122
2Ben Meyers40122Calle RosenVictor Mancini40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brennan OthmannBen Meyers60122
2Tye KartyeSammy Walker40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajCalle Rosen60122
2Filip RoosVictor Mancini40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersTye KartyeBrennan OthmannArber XhekajCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ben MeyersTye KartyeBrennan OthmannArber XhekajCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Otto Stenberg, Brennan Othmann, Ben MeyersOtto Stenberg, Brennan OthmannBrennan Othmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Roos, Victor Mancini, Arber XhekajFilip RoosFilip Roos, Arber Xhekaj
Tirs de pénalité
Sammy Walker, Ben Meyers, Marc McLaughlin, Tye Kartye, Brennan Othmann
Gardien
#1 : Matt D. Murray, #2 : Clay Stevenson
Lignes d’attaque personnalisées en prolongation
Tye Kartye, Ben Meyers, Alexis Gendron, Mackie Samoskevich, Brennan Othmann, Marc McLaughlin, Marc McLaughlin, Sammy Walker, Sasha Pastujov, Hunter McKown, Otto Stenberg
Lignes de défense personnalisées en prolongation
Arber Xhekaj, Lian Bichsel, 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
1Admirals21100000761110000004221010000034-120.500713200012110096658961100610703455191853600.00%9277.78%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
2Americans31100100880211000007611000010012-130.5008132100121100966829611006107034972420796116.67%10370.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
3Barracuda21100000770110000005231010000025-320.5007142100121100966739611006107034611514336116.67%6266.67%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
4Bears320001008441000010023-12200000061550.833815230112110096611896110061070341033037776116.67%11281.82%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
5Bruins413000001215-32110000053220200000712-520.250122234011211009661059611006107034166534210111218.18%21576.19%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
6Checkers44000000316252200000016115220000001551081.00031578801121100966217961100610703412438321127342.86%11190.91%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
7Comets22000000936110000002111100000072541.000915240012110096679961100610703461208616233.33%40100.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
8Condors21100000880110000006511010000023-120.5008142200121100966669611006107034721916584125.00%7185.71%11662307854.00%1540289553.20%713130954.47%2130151517855581034537
9Crunch3200100016106110000007522100100095461.0001631470012110096610096110061070341043824818337.50%12375.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
10Devils32100000131212200000010731010000035-240.667132336101211009669996110061070341002950607114.29%80100.00%11662307854.00%1540289553.20%713130954.47%2130151517855581034537
11Eagles2020000049-51010000025-31010000024-200.000461000121100966799611006107034621514596116.67%6183.33%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
12Firebirds2110000012751100000010371010000024-220.50012223400121100966839611006107034361013845240.00%4250.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
13Griffins4400000025619220000001221022000000134981.0002547720112110096621996110061070341233643988225.00%14378.57%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
14Gulls22000000716110000003031100000041341.000714210112110096666961100610703471186506116.67%3166.67%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
15IceHogs2010001078-11010000013-21000001065120.500791600121100966569611006107034832226598450.00%12283.33%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
16Marlies413000001417-32020000059-42110000098120.2501426400012110096616296110061070341303832104900.00%16381.25%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
17Monsters3120000068-2110000003122020000037-420.3336121810121100966939611006107034842126596116.67%11372.73%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
18Moose22000000633110000003211100000031241.000611170012110096660961100610703481188573133.33%4175.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
19Penguins312000001011-12020000047-31100000064220.33310203000121100966103961100610703410132187210330.00%9188.89%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
20Phantoms3100100111741000000123-12100100094550.833112132001211009669396110061070341112332797114.29%16381.25%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
21Reign22000000642110000002111100000043141.0006121800121100966659611006107034592327658225.00%11190.91%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
22Roadrunners2010100036-3100010003211010000004-420.500347001211009667496110061070345312662500.00%20100.00%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
23Rocket413000001315-2211000009632020000049-520.25013243700121100966165961100610703413644241143133.33%12558.33%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
24Silver Knights21001000963110000005321000100043141.0009162500121100966109961100610703484211454600.00%7185.71%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
25Sound Tigers321000009902110000067-11100000032140.66791322001211009668696110061070341263649759222.22%17382.35%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
26Stars220000001064110000004221100000064241.00010162600121100966699611006107034782318436350.00%8187.50%11662307854.00%1540289553.20%713130954.47%2130151517855581034537
27Thunderbirds220000001239110000006151100000062441.000122032001211009661049611006107034601912656350.00%6183.33%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
28Wild20100001913-41000000156-11010000047-310.25091827001211009661019611006107034631516529222.22%7357.14%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
29Wolf Pack311000011213-11010000045-12100000188030.5001222340012110096695961100610703411033268312325.00%13284.62%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
30Wolves302010001012-2201010006601010000046-220.333101929001211009669596110061070341013424675120.00%12466.67%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
31Wranglers211000009901010000045-11100000054120.50091726001211009668496110061070345814125012325.00%6266.67%01662307854.00%1540289553.20%713130954.47%2130151517855581034537
Total8242290521332325271412313021021631144941191603111160138221010.6163235869092512110096630589611006107034275379270721662165123.61%2956278.98%31662307854.00%1540289553.20%713130954.47%2130151517855581034537
_Since Last GM Reset8242290521332325271412313021021631144941191603111160138221010.6163235869092512110096630589611006107034275379270721662165123.61%2956278.98%31662307854.00%1540289553.20%713130954.47%2130151517855581034537
_Vs Conference50241903202198153452512100110198712725129021011008218580.5801983655632412110096618329611006107034171650947912611142521.93%1934178.76%11662307854.00%1540289553.20%713130954.47%2130151517855581034537
_Vs Division261410011001197742138500000613229136501100584513310.5961192203390312110096610509611006107034880271217689521223.08%962376.04%01662307854.00%1540289553.20%713130954.47%2130151517855581034537

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82101L232358690930582753792707216625
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242295213323252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123132102163114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4119163111160138
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2165123.61%2956278.98%3
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
9611006107034121100966
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
1662307854.00%1540289553.20%713130954.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2130151517855581034537


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 - 2026-03-03966Senators2Condors3ALSommaire du match
150 - 2026-03-05981Senators5Wranglers4AWSommaire du match
152 - 2026-03-071000Senators2Firebirds4ALSommaire du match
154 - 2026-03-091011Senators7Comets2AWSommaire du match
156 - 2026-03-111025Rocket3Senators7BWSommaire du match
159 - 2026-03-141043Gulls0Senators3BWSommaire du match
160 - 2026-03-151058Barracuda2Senators5BWSommaire du match
163 - 2026-03-181079Senators4Bears1AWSommaire du match
164 - 2026-03-191084Sound Tigers2Senators3BWSommaire du match
166 - 2026-03-211106Marlies6Senators3BLSommaire du match
168 - 2026-03-231119Senators4Wolf Pack5ALXXSommaire du match
169 - 2026-03-241122Senators5Griffins1AWSommaire du match
171 - 2026-03-261138Penguins3Senators2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281152Senators5Crunch2AWSommaire du match
176 - 2026-03-311181Senators7Checkers3AWSommaire du match
178 - 2026-04-021191Americans2Senators5BWSommaire du match
180 - 2026-04-041208Wild6Senators5BLXXSommaire du match
181 - 2026-04-051225Wolves3Senators4BWXSommaire du match
183 - 2026-04-071234Crunch5Senators7BWSommaire du match
185 - 2026-04-091250Checkers1Senators6BWSommaire du match
187 - 2026-04-111262Senators3Sound Tigers2AWSommaire du match
188 - 2026-04-121279Senators3Devils5ALSommaire du match
191 - 2026-04-151304Marlies3Senators2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance81,95641,000
Assistance PCT99.95%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2999 - 99.96% 62,473$2,561,400$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,039,468$ 2,092,500$ 2,092,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,084,551$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,936,668$ 0 15,846$ 0$




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 Walker1646179140263211829552511.62%31326719.92825338200047349.52%10.8603
2Ben Meyers1645580135553618532050011.00%34335620.478223057202168155.08%20.8015
3Tye Kartye1454983132391005123045648.69%37312621.563161976123811153.32%10.8415
4Sasha Pastujov1605449103462210719338214.14%23264916.5698173910159451.77%10.7801
5Marc McLaughlin159396310238601753204039.68%22257716.211011216501157251.95%00.7902

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 Stevenson1356849110.9053.20756814840442450330.69213
2Matt D. Murray32201010.9033.10181822949740110.6673
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
20258242290521332325271412313021021631144941191603111160138221013235869092512110096630589611006107034275379270721662165123.61%2956278.98%31662307854.00%1540289553.20%713130954.47%2130151517855581034537
Total Saison régulière1648261068256085248482462602314314246688236350451129427816193608110517134102281921808583018881911198964551915591255405049111423.22%54512177.80%53145605751.92%3041585151.97%1409270552.09%407928593713116721041070
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