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Senators
GP: 23 | W: 10 | L: 13 | OTL: 0 | P: 20
GF: 77 | GA: 89 | PP%: 30.77% | PK%: 53.70%
DG: Pascal Poirier | Morale : 79 | Moyenne d’équipe : 68
Prochains matchs #379 vs Marlies
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Centre de jeu
Senators
10-13-0, 20pts
5
FINAL
4 Griffins
9-9-4, 22pts
Team Stats
L1StreakL1
5-7-0Home Record6-3-3
5-6-0Away Record3-6-1
5-5-0Last 10 Games4-5-1
3.35Buts par match 3.50
3.87Buts contre par match 3.55
30.77%Pourcentage en avantage numérique38.89%
53.70%Pourcentage en désavantage numérique61.54%
Admirals
13-11-1, 27pts
3
FINAL
1 Senators
10-13-0, 20pts
Team Stats
L1StreakL1
6-5-1Home Record5-7-0
7-6-0Away Record5-6-0
4-6-0Last 10 Games5-5-0
3.24Buts par match 3.35
3.24Buts contre par match 3.87
38.89%Pourcentage en avantage numérique30.77%
62.50%Pourcentage en désavantage numérique53.70%
Marlies
16-8-0, 32pts
2024-12-02
Senators
10-13-0, 20pts
Statistiques d’équipe
W1SéquenceL1
7-5-0Fiche domicile5-7-0
9-3-0Fiche visiteur5-6-0
6-4-010 derniers matchs5-5-0
3.96Buts par match 3.35
3.67Buts contre par match 3.35
43.64%Pourcentage en avantage numérique30.77%
44.19%Pourcentage en désavantage numérique53.70%
Senators
10-13-0, 20pts
2024-12-05
Wolfes
15-6-4, 34pts
Statistiques d’équipe
L1SéquenceW3
5-7-0Fiche domicile8-3-0
5-6-0Fiche visiteur7-3-4
5-5-010 derniers matchs8-1-1
3.35Buts par match 4.36
3.87Buts contre par match 4.36
30.77%Pourcentage en avantage numérique66.67%
53.70%Pourcentage en désavantage numérique50.00%
Senators
10-13-0, 20pts
2024-12-07
Checkers
16-5-3, 35pts
Statistiques d’équipe
L1SéquenceW1
5-7-0Fiche domicile9-1-2
5-6-0Fiche visiteur7-4-1
5-5-010 derniers matchs7-3-0
3.35Buts par match 4.42
3.87Buts contre par match 4.42
30.77%Pourcentage en avantage numérique54.72%
53.70%Pourcentage en désavantage numérique58.33%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
77
3.35 GFG
Tirs pour
452
19.65 Avg
Pourcentage en avantage numérique
30.8%
12 GF
Début de zone offensive
26.9%
Buts contre
89
3.87 GAA
Tirs contre
576
25.04 Avg
Pourcentage en désavantage numérique
53.7%
25 GA
Début de la zone défensive
30.2%
Informations de l'équipe

Directeur généralPascal Poirier
EntraîneurD.J. Smith
DivisionAtlantique
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance6,453
Billets de saison1,600


Informations de la formation

Équipe Pro18
Équipe Mineure19
Limite contact 37 / 60
Espoirs33


Historique d'équipe

Saison actuelle10-13-0 (20PTS)
Historique82-93-9 (0.446%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)8-12
Coupe Stanley0


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
1Parker KellyXX100.00844080837883837450706880756555080770251750,000$
2Carl GrundstromXX100.007945877581818173406468687275650807302721,800,000$
3Martin PospisilX100.00897457787584737750756871745450080730251775,000$
4Alex Barre-BouletXXX100.00654081757282736955636664706555080700271775,000$
5Kevin LabancXX100.00714585727481836950676260688070080700281750,000$
6Mavrik Bourque (R)X100.00594369856066647050686362685050080670222894,167$
7Matthew Phillips (R)X100.00574084766880736740646165686555080670261750,000$
8Egor SokolovX100.00634862647068666645636157645250080630241750,000$
9Max ComtoisX100.00576054606967656444636050615350080610251750,000$
10Otto KoivulaXXX100.00644563587366646344625452585350080600261750,000$
11Matt RempeX100.00655854597263615842515452575050080570222820,000$
12Maxim Cajkovic (R)X100.00614070626560575540515153565150080560231750,000$
13Will BorgenX100.007872677582868677407765807275650807802711,500,000$
14Sam Malinski (R)X100.00614082757783657040736574705250080710262850,000$
Rayé
MOYENNE D’ÉQUIPE100.0068497171737571684565626367605508067
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
1Frederik Andersen100.00747876937682858584757486790807603511,000,000$
2Joseph Woll100.0082797983828178808081796053080760261800,000$
Rayé
1Matt Tomkins100.0075707165707072707072686558058670301750,000$
2Cal Petersen100.00756970606969716869716860530586603011,700,000$
MOYENNE D’ÉQUIPE100.007774747574767776767572686106971
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith7582757558531CAN463500,000$


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
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


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 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
Alex Barre-BouletSenators (OTT)C/LW/RW271997-05-21No178 Lbs5 ft10NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Cal PetersenSenators (OTT)G301994-10-19No180 Lbs6 ft1NoNoNo1Pro & Farm1,700,000$1,217,788$0$0$NoLien NHL
Carl GrundstromSenators (OTT)LW/RW271997-12-01No200 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$1,289,423$0$0$No1,800,000$Lien NHL
Egor SokolovSenators (OTT)LW242000-06-07No217 Lbs6 ft3NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Frederik AndersenSenators (OTT)G351989-10-02No238 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$716,346$0$0$NoLien NHL
Joseph WollSenators (OTT)G261998-07-12No202 Lbs6 ft3NoNoNo1Pro & Farm800,000$573,077$0$0$NoLien NHL
Kevin LabancSenators (OTT)LW/RW281995-12-12No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Martin PospisilSenators (OTT)RW251999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Matt RempeSenators (OTT)C222002-06-29No207 Lbs6 ft7NoNoNo2Pro & Farm820,000$587,404$0$0$No820,000$
Matt TomkinsSenators (OTT)G301994-06-19No191 Lbs6 ft4NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Matthew PhillipsSenators (OTT)C261998-04-06Yes160 Lbs5 ft8NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Mavrik BourqueSenators (OTT)C222002-01-08Yes179 Lbs5 ft10NoNoNo2Pro & Farm894,167$640,533$0$0$No894,167$
Max ComtoisSenators (OTT)LW251999-01-08No215 Lbs6 ft2NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Maxim CajkovicSenators (OTT)RW232001-01-03Yes201 Lbs6 ft0NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Otto KoivulaSenators (OTT)C/LW/RW261998-09-01No225 Lbs6 ft5NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Parker KellySenators (OTT)C/LW251999-05-14No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Sam MalinskiSenators (OTT)D261998-07-27Yes190 Lbs5 ft11NoNoNo2Pro & Farm850,000$608,894$0$0$No850,000$
Will BorgenSenators (OTT)D271996-12-19No204 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,074,519$0$0$NoLien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1826.33196 Lbs6 ft11.22939,676$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
230122
322122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
230122
322122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1 Gulls2110000010100110000006241010000048-420.5001018280063532438921831707501612196116.67%6350.00%212526147.89%13929447.28%21541751.56%477287538199369177
2Admirals1010000013-21010000013-20000000000000.0001230063532414921831707236613100.00%30100.00%012526147.89%13929447.28%21541751.56%477287538199369177
3Americans30201000617-112010100046-210100000211-920.333611170063532450921831707120463238200.00%11645.45%012526147.89%13929447.28%21541751.56%477287538199369177
4Bruins30300000710-31010000045-12020000035-200.0007142100635324609218317076021641400.00%3233.33%012526147.89%13929447.28%21541751.56%477287538199369177
5Crunch1010000035-2000000000001010000035-200.0003690063532427921831707298411200.00%220.00%012526147.89%13929447.28%21541751.56%477287538199369177
6Devils1010000003-31010000003-30000000000000.0000000063532416921831707278415200.00%20100.00%012526147.89%13929447.28%21541751.56%477287538199369177
7Eagles1010000006-61010000006-60000000000000.000000006353248921831707269411000.00%20100.00%012526147.89%13929447.28%21541751.56%477287538199369177
8Griffins10001000541000000000001000100054121.0005101500635324169218317071946132150.00%3166.67%112526147.89%13929447.28%21541751.56%477287538199369177
9Monsters11000000211000000000001100000021121.000246006353242192183170713529000.00%10100.00%012526147.89%13929447.28%21541751.56%477287538199369177
10Moose11000000633000000000001100000063321.00061117006353242792183170723140112150.00%000.00%012526147.89%13929447.28%21541751.56%477287538199369177
11Penguins1010000057-21010000057-20000000000000.000591400635324349218317072141284125.00%6516.67%012526147.89%13929447.28%21541751.56%477287538199369177
12Phantoms10001000321000000000001000100032121.000358006353241992183170730548000.00%2150.00%212526147.89%13929447.28%21541751.56%477287538199369177
13Plotes41201000171613110100015961010000027-540.5001732490163532483921831707882616449555.56%8450.00%012526147.89%13929447.28%21541751.56%477287538199369177
14Stars11000000817110000008170000000000021.00081422006353242092183170721861111100.00%30100.00%012526147.89%13929447.28%21541751.56%477287538199369177
15Thunderbirds11000000413000000000001100000041321.000471100635324199218317072634104250.00%2150.00%012526147.89%13929447.28%21541751.56%477287538199369177
Total23613040007789-12123702000434211136020003447-13200.4357714322001635324452921831707576183118262391230.77%542553.70%512526147.89%13929447.28%21541751.56%477287538199369177
_Since Last GM Reset23613040007789-12123702000434211136020003447-13200.4357714322001635324452921831707576183118262391230.77%542553.70%512526147.89%13929447.28%21541751.56%477287538199369177
_Vs Conference19511030006375-1292502000343221036010002943-14160.421631171800163532439492183170748715696214351028.57%432444.19%412526147.89%13929447.28%21541751.56%477287538199369177
_Vs Division939030002537-1232402000811-3615010001726-9120.66725487300635324172921831707254825211314321.43%211242.86%112526147.89%13929447.28%21541751.56%477287538199369177

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2320L17714322045257618311826201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2361340007789
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
123720004342
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
113620003447
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
391230.77%542553.70%5
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
921831707635324
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
12526147.89%13929447.28%21541751.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
477287538199369177


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
2 - 2024-10-049Senators4 Gulls8ALSommaire du match
4 - 2024-10-0621Senators4Thunderbirds1AWSommaire du match
5 - 2024-10-0730Plotes5Senators3BLSommaire du match
8 - 2024-10-1044Senators2Americans11ALSommaire du match
10 - 2024-10-1256Senators2Plotes7ALSommaire du match
11 - 2024-10-1362Americans3Senators0BLSommaire du match
14 - 2024-10-1684Senators2Bruins3ALSommaire du match
16 - 2024-10-1891Bruins5Senators4BLSommaire du match
19 - 2024-10-21116 Gulls2Senators6BWSommaire du match
22 - 2024-10-24133Senators3Crunch5ALSommaire du match
24 - 2024-10-26141Senators6Moose3AWSommaire du match
26 - 2024-10-28154Americans3Senators4BWXSommaire du match
28 - 2024-10-30173Senators3Phantoms2AWXSommaire du match
30 - 2024-11-01183Penguins7Senators5BLSommaire du match
35 - 2024-11-06213Devils3Senators0BLSommaire du match
38 - 2024-11-09234Plotes4Senators5BWXSommaire du match
46 - 2024-11-17284Senators1Bruins2ALSommaire du match
47 - 2024-11-18285Stars1Senators8BWSommaire du match
48 - 2024-11-19293Plotes0Senators7BWSommaire du match
52 - 2024-11-23318Eagles6Senators0BLSommaire du match
54 - 2024-11-25332Senators2Monsters1AWSommaire du match
56 - 2024-11-27346Senators5Griffins4AWXSommaire du match
57 - 2024-11-28353Admirals3Senators1BLSommaire du match
61 - 2024-12-02379Marlies-Senators-
64 - 2024-12-05396Senators-Wolfes-
66 - 2024-12-07410Senators-Checkers-
67 - 2024-12-08418Rocket-Senators-
70 - 2024-12-11435Senators-Wild-
72 - 2024-12-13446Wild-Senators-
74 - 2024-12-15460Senators-plote-
76 - 2024-12-17471Senators-Wolf Pack-
78 - 2024-12-19484Crunch-Senators-
80 - 2024-12-21499Senators-Penguins-
82 - 2024-12-23512IceHogs-Senators-
84 - 2024-12-25524Senators-Plotes-
86 - 2024-12-27540Senators-Americans-
88 - 2024-12-29550Condors-Senators-
91 - 2025-01-01575Barracuda-Senators-
94 - 2025-01-04591Senators-Penguins-
96 - 2025-01-06606Phantoms-Senators-
101 - 2025-01-11633Devils-Senators-
103 - 2025-01-13646Senators-Moose-
105 - 2025-01-15661Americans-Senators-
110 - 2025-01-20691Checkers-Senators-
113 - 2025-01-23708Senators-Admirals-
115 - 2025-01-25720Senators-Reigns-
116 - 2025-01-26726Thunderbirds-Senators-
119 - 2025-01-29744Senators-Stars-
120 - 2025-01-30755Heat-Senators-
123 - 2025-02-02770Senators-Islanders-
125 - 2025-02-04786Wolfes-Senators-
127 - 2025-02-06798Senators-Eagles-
129 - 2025-02-08814Senators-Bears-
131 - 2025-02-10823plote-Senators-
134 - 2025-02-13848Islanders-Senators-
136 - 2025-02-15862Senators-Americans-
138 - 2025-02-17876Senators-Marlies-
140 - 2025-02-19885 Gulls-Senators-
144 - 2025-02-23908Senators-Barracuda-
145 - 2025-02-24917Reigns-Senators-
148 - 2025-02-27936Senators-Comets-
150 - 2025-03-01947Comets-Senators-
152 - 2025-03-03963Senators-Thunderbirds-
155 - 2025-03-06974Bruins-Senators-
158 - 2025-03-09991Senators-Heat-
160 - 2025-03-111002Senators- Gulls-
162 - 2025-03-131015Wolf Pack-Senators-
165 - 2025-03-161038Moose-Senators-
167 - 2025-03-181048Senators-Condors-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169 - 2025-03-201064Senators-Rocket-
171 - 2025-03-221076Bears-Senators-
174 - 2025-03-251095Senators-Phantoms-
175 - 2025-03-261105Senators-Admirals-
177 - 2025-03-281114Thunderbirds-Senators-
180 - 2025-03-311136Monsters-Senators-
185 - 2025-04-051162Phantoms-Senators-
190 - 2025-04-101188Penguins-Senators-
194 - 2025-04-141215Senators-Crunch-
195 - 2025-04-151222Griffins-Senators-
203 - 2025-04-231248Griffins-Senators-
204 - 2025-04-241258Senators-IceHogs-
205 - 2025-04-251265Senators-Devils-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50003000
Prix des billets3515
Assistance48,08529,346
Assistance PCT80.14%81.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 6453 - 80.66% 159,238$1,910,851$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
641,006$ 1,691,417$ 1,691,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 499,170$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,617,890$ 149 10,536$ 1,569,864$




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
1Brandon Hagel8123426537259262828.16%12111313.75178000015263.7701.1701
2Wyatt Kalynuk7612415391045452524.76%41126716.675712110003210.00%00.8400
3Mikey Anderson7314334722694662236.28%75141519.397815140001100.00%00.6600
4Kevin Labanc1721244588251110819.44%839323.151013232000012155.5612.2900
5Colin White36162541112403914511.03%1056915.815491100001272.1201.4401

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
1Mikhail Berdin4735840.9141.90280823891039543100.00%0

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
2020824328029003403023841231101600175152234120170130016515015993406479871148129161221735027678986233170736810601758146.29%1858156.22%12497105846.98%578121747.49%794162049.01%1769105918017121367678
202182541706410331208123412890220016410262412680421016710661126331595926045313713472940962100795123193358026412582349942.31%1313970.23%3882153557.46%642121252.97%872147359.20%2012128916406311287697
202423613040007789-12123702000434211136020003447-13207714322001635324452921831707576183118262391230.77%542553.70%512526147.89%13929447.28%21541751.56%477287538199369177
Total Saison régulière1877393081111643728-8594424105411351348393315203700292380-88176643119918422376283275951011423180918512350771674783230239014236.41%38719549.61%191427275251.85%1300260149.98%1863352652.84%402624664187161030411486
Séries éliminatoires
202018108000007072-21064000003436-28440000036360207013320300931291442117144178353118970250271140.74%352334.29%110821650.00%11727642.39%17835550.14%384231399161305148
20211486000004045-5734000001619-3752000002426-216407811800119182371100128136741714810516823834.78%452153.33%07220634.95%10028335.34%11325145.02%316203317119218104
20211486000004045-5734000001619-3752000002426-216407811800119182371100128136741714810516823834.78%452153.33%07220634.95%10028335.34%11325145.02%316203317119218104
Total Séries éliminatoires20812000006280-181028000002844-161064000003436-216621081700061440252813819018812498168106240501632.00%483037.50%215828455.63%13426650.38%19639449.75%433264486174330158

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
1Brandon Hagel56241236286816418413.04%860110.73000000000057.1401.2000
2Mikey Anderson56032324012402080.00%5287915.7100000000000.00%00.7300
3Matt Luff56000000000.00%000.00%00000000000.00%00.00%00

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
1Mikhail Berdin52321640.9022.803170801481512820000.00%0