Connexion

Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Julien T. Lessard | Morale : 75 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJulien T. Lessard
EntraîneurBrad Shaw
DivisionNorth
ConférenceEastern
Capitaine
Assistant #1MacKenzie Weegar
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs57


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique215-131-46 (0.548%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)12-15
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
1Connor BunnamanX100.00583796647980886062596064587375525000261800,000$
2Matthew PhillipsXX100.00533892685765775866585862627270555000261800,000$
3John QuennevilleXXX100.007055786676806470756971686073727050002811,500,000$
4Troy TerryXX100.005235977073787569627167676475734450002622,500,000$
5Benoit-Olivier Groulx (R)XX100.007975647780857577767774727168737450002411,000,000$
6Isac Lundestrom (R)XX100.007158807778857580777777667069717950002411,500,000$
7Pavol Regenda (R)XX100.007876617587788580617675767168694647002411,200,000$
8Rasmus Kupari (R)XX100.007759787777808577777472727068708050002421,200,000$
9Vasili Podkolzin (R)XX100.006350867779808379567576767265718750002311,000,000$
10Tyson Foerster (R)X100.00705579768088757663727572756363855000222950,000$
11Dmitri Buchelnikov (R)X100.00594887807080757560717172716262705000203775,000$
12Nikita Grebyonkin (R)X100.00634788777780807560747273726268805000213900,000$
13MacKenzie Weegar (A)X100.009385596574817765306964715382803450003021,200,000$
14Tarmo ReunanenX100.00645876787777608130716978696972585000262950,000$
15Simon Lundmark (R)X100.00694790768369857530686679666565685000231750,000$
16Kaiden Guhle (R)X100.00805976778291807630757076686570824700222950,000$
17Egor Zamula (R)X100.00654988787583857830736777666666485000241750,000$
18Luke Hughes (R)X100.006352827877887375307969757062699050002031,000,000$
Rayé
1Brady GilmourX100.00593887636670676062605963597671425000251800,000$
2Ben GleasonX100.00523696647480726030605868467173445000261800,000$
3Brendan GuhleX100.00603791647980676330646164467473615000271800,000$
MOYENNE D’ÉQUIPE100.0067528273768076725270687165697064500
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
1Josef Korenar100.00797574747887898886797871754350002621,150,000$
2Spencer Knight (R)100.0085948483909192919190896671875000231975,000$
Rayé
1Jake Paterson100.0070717073718182828170707882625000301800,000$
MOYENNE D’ÉQUIPE100.007880767780868887868079727664500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Shaw67797269888360CAN5911,000,000$


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Plafond 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 10Lien
Ben GleasonSenators (OTT)D261998-03-25No185 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Benoit-Olivier GroulxSenators (OTT)C/LW242000-02-06 14:53:34Yes195 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Brady GilmourSenators (OTT)C251999-04-18 15:25:42No181 Lbs5 ft10NoNoNoNo1Farm Only800,000$0$0$NoLien
Brendan GuhleSenators (OTT)D271997-07-29No196 Lbs6 ft2NoNoNoNo1Farm Only800,000$0$0$NoLien
Connor BunnamanSenators (OTT)C261998-04-16No207 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Dmitri BuchelnikovSenators (OTT)LW202003-09-06 15:59:09Yes163 Lbs5 ft10NoNoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien / Lien NHL
Egor ZamulaSenators (OTT)D242000-03-30 18:17:54Yes176 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Isac LundestromSenators (OTT)C/LW241999-11-06 16:23:06Yes187 Lbs6 ft0NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien / Lien NHL
Jake PatersonSenators (OTT)G301994-05-03No179 Lbs6 ft1NoNoNoNo1Farm Only800,000$0$0$NoLien
John QuennevilleSenators (OTT)C/LW/RW281996-04-16No195 Lbs6 ft1NoNoNoNo1Pro & Farm1,500,000$0$0$NoLien
Josef KorenarSenators (OTT)G261998-01-31No186 Lbs6 ft1NoNoNoNo2Pro & Farm1,150,000$0$0$No1,150,000$Lien
Kaiden GuhleSenators (OTT)D222002-01-18 18:14:36Yes205 Lbs6 ft2NoNoNoNo2Pro & Farm950,000$0$0$No950,000$Lien / Lien NHL
Luke HughesSenators (OTT)D202003-09-09 15:50:07Yes198 Lbs6 ft2NoNoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
MacKenzie WeegarSenators (OTT)D301994-01-07No200 Lbs6 ft0NoNoYesNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien / Lien NHL
Matthew PhillipsSenators (OTT)C/RW261998-04-06 08:08:54No140 Lbs5 ft7NoNoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Nikita GrebyonkinSenators (OTT)RW212003-05-02 16:01:36Yes195 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien / Lien NHL
Pavol RegendaSenators (OTT)LW/RW241999-12-07 17:37:06Yes212 Lbs6 ft4NoNoYesNo1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Rasmus KupariSenators (OTT)C/RW242000-03-15 16:59:09Yes200 Lbs6 ft2NoNoNoNo2Pro & Farm1,200,000$0$0$No1,200,000$Lien / Lien NHL
Simon LundmarkSenators (OTT)D232000-10-08 17:01:49Yes201 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Spencer KnightSenators (OTT)G232001-04-19 15:12:53Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm975,000$0$0$NoLien / Lien NHL
Tarmo ReunanenSenators (OTT)D261998-03-01 15:02:35No185 Lbs6 ft0NoNoNoNo2Pro & Farm950,000$0$0$No950,000$Lien / Lien NHL
Troy TerrySenators (OTT)C/RW261997-09-10No178 Lbs6 ft1NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien
Tyson FoersterSenators (OTT)RW222002-01-18 15:56:35Yes215 Lbs6 ft2NoNoNoNo2Pro & Farm950,000$0$0$No950,000$Lien / Lien NHL
Vasili PodkolzinSenators (OTT)LW/RW232001-06-24 17:07:44Yes190 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.58190 Lbs6 ft11.541,043,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vasili PodkolzinIsac LundestromTyson Foerster35014
2Pavol RegendaBenoit-Olivier GroulxNikita Grebyonkin35014
3Dmitri BuchelnikovRasmus KupariTroy Terry22023
4John QuennevilleConnor BunnamanMatthew Phillips8023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesKaiden Guhle45014
2Egor ZamulaSimon Lundmark30023
3Tarmo ReunanenMacKenzie Weegar25023
4Egor ZamulaSimon Lundmark0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vasili PodkolzinIsac LundestromTyson Foerster60005
2Pavol RegendaRasmus KupariNikita Grebyonkin40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Benoit-Olivier GroulxLuke Hughes60005
2Dmitri BuchelnikovKaiden Guhle40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxPavol Regenda60041
2Rasmus KupariVasili Podkolzin40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaiden GuhleSimon Lundmark60140
2Egor ZamulaTarmo Reunanen40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Benoit-Olivier Groulx60041Kaiden GuhleSimon Lundmark60140
2Rasmus Kupari40041Egor ZamulaTarmo Reunanen40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Isac LundestromVasili Podkolzin50014
2Benoit-Olivier GroulxPavol Regenda50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke HughesKaiden Guhle50014
2Egor ZamulaSimon Lundmark50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavol RegendaIsac LundestromVasili PodkolzinLuke HughesKaiden Guhle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavol RegendaBenoit-Olivier GroulxRasmus KupariKaiden GuhleSimon Lundmark
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vasili Podkolzin, Isac Lundestrom, Pavol RegendaVasili Podkolzin, Isac LundestromPavol Regenda
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Hughes, Kaiden Guhle, Egor ZamulaLuke HughesKaiden Guhle, Simon Lundmark
Tirs de pénalité
Vasili Podkolzin, Isac Lundestrom, Pavol Regenda, Tyson Foerster, Benoit-Olivier Groulx
Gardien
#1 : Spencer Knight, #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Vasili Podkolzin, Isac Lundestrom, Pavol Regenda, Benoit-Olivier Groulx, Tyson Foerster, Rasmus Kupari, Rasmus Kupari, Nikita Grebyonkin, Dmitri Buchelnikov, Troy Terry, John Quenneville
Lignes de défense personnalisées en prolongation
Luke Hughes, Kaiden Guhle, Simon Lundmark, Egor Zamula, Tarmo Reunanen


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5025
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,505,000$ 2,505,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Senators Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tanner Fritz30415218033292160572900124012.26%124690122.704044842160003224854.82%80.961224
2Andrew Peeke442812263075320846850362712.92%574982422.2339438230501110420%00.6200
3Corban Knight329120171291536136961104711.46%106631619.202843711850111520753.60%00.9246
4Lawson Crouse32011217628872428152882011529.72%116718822.4612881002204488241249.03%40.80024
5Greg Carey2727213220424482124728688.29%52548720.17840481320001616048.62%00.74012

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
1Garret Sparks28215383250.9053.051612016882086380450.71871
2Josef Korenar156875380.9152.7587121653994697269370.71428
3Spencer Knight62371690.9382.4837680115625031117410.68816
4Chad Johnson56262630.8983.1831476116716430300.5569
5Adam Huska104110.9242.5848900212780100.6005

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
202076372406333264241233816140520112812083821100113213612115982644757391287907811261481188487365249272666617272846221.83%2966279.05%11491287651.84%1511274555.05%659119855.01%186412791758573987491
202076372406333264241233816140520112812083821100113213612115982644757391287907811261481188487365249272666617272846221.83%2966279.05%11491287651.84%1511274555.05%659119855.01%186412791758573987491
20217631320631323722512381813031121261062038131903201111119-8822374376741181707910244983079680237235369168017402745921.53%2936179.18%31452276352.55%1395263153.02%617118552.07%184712731772564979488
2022763428064222382102838151404221123107163819140220111510312902384296676593756211236874377280961238566781418192645520.83%3266580.06%21403267052.55%1440274652.44%637118653.71%188213051754556967491
202376332307634219198213818120231211010010381511053221099811962193605792179656514335712701100947663066100367924751533522.88%1112478.38%21169229151.03%1089208252.31%619112155.22%1733105015656631326667
Total Saison régulière3801721310311912151222111510719083670191047615553621908964012988607562454641222217633981111427390362571340244654436430429412788381335059488125927321.68%132227479.27%970061347651.99%69461294953.64%3191588854.19%919361878608293252472629
Séries éliminatoires
2020624000002024-4312000001014-43120000010100420385800749019551498411237765614519210.53%26869.23%011923051.74%14126054.23%5711051.82%14799159498340
2022734000002023-341300000913-4321000001110162039590010550249737088182357483186391230.77%36780.56%015328254.26%13726352.09%6010557.14%189133155509348
20231477000004447-3835000002330-764200000211741444761201113161416091912321761057718819448929827.59%37878.38%023644453.15%24345153.88%12622256.76%321193290122235120
Total Séries éliminatoires271215000008494-1015510000004257-151275000004237524841532371130252811053315351348391049338333820872225.29%992376.77%050895653.14%52197453.49%24343755.61%659426605222411210

Senators Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Wyatt Johnston21111223-4432828712.64%2047822.805510900031154.07%00.9600
2Vasili Podkolzin2191322-92447361048.65%1344421.163471300012052.94%00.9900
3Thomas Harley2151015-25760304511.11%2648122.95448170000100%00.6200
4Benoit-Olivier Groulx21861411372617310.96%638118.18336800020155.61%00.7300
5Isac Lundestrom2141014-5125150924.35%842420.210551300002052.02%00.6600

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
1Spencer Knight147610.9203.3179821445482040100
2Josef Korenar93310.8983.294560025245150000
3Garret Sparks72220.9063.43420002425500000