Connexion


Meneurs d'équipe

Stats Équipe
Information d’équipe
Directeur général
EntraîneurSpencer Carbery
DivisionAtlantic
ConférenceEastern
CapitaineCale Fleury
Assistant #1David Spacek
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance
Billets de saison300
Information formation
Équipe Pro28
Équipe Mineure20
Limite contact 48 / 50
Espoirs25
Historique d'équipe
Saison actuelle0-0
Historique128-91-25 (0.525%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)18-9
Stanley Cup1


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
1Oskar SundqvistX100.0067568176777792577757577840848140316603022,000,000$
2Paul CotterX100.0099547977727695584059586557747565286502511,500,000$
3Carl GrundstromX100.0094488578617377554047636765787655286302721,975,000$
4Seth GriffithX100.005143818448776763407048649086823529630311650,000$
5Nathan BastianX100.0099617875727280544051586840787555286302711,496,000$
6Joe SnivelyX100.004839828343786860407047684080795029620281696,000$
7Tanner LaczynskiX100.006247828258605062406558704078695529620273975,000$
8Tomas NosekX100.0061538775707468528749557140888130276203222,000,000$
9Grigori DenisenkoX100.0066447582577464604065555040727370296102411,017,500$
10Cole GuttmanX100.005045858340766257855262654074756529610251750,000$
11Vincent HinostrozaX100.005842848049715354405256676984784028600303950,000$
12Brian Halonen (R)X100.006055798764605059404170654074676528600251575,000$
13Fedor Svechkov (R)X100.005442848566665653705353704066668526600213925,000$
14Matt BenningX100.0072507075658053514052508340848240326703032,000,000$
15Cale Fleury (C)X100.009550847566696450405743704076736029650261750,000$
16Ilya SolovyovX100.007353827671765057406550714072747037650241825,000$
17Joe HickettsX100.007639838041555053407034704080685029620282950,000$
18Nikita Novikov (R)X100.006250778074696440404536704066688527620213925,000$
19Declan Carlile (R)X100.005349818756656046404744704072697031610243950,000$
Rayé
1Fredrik KarlstromX100.005752877563817150704654704076796019600262950,000$
2Nikita Nesterenko (R)X100.005140798562796947704549664070757520590232750,000$
3Zack Ostapchuk (R)X100.006965768072786842703350694066728519580213925,000$
4Cole ReinhardtX100.007365637571655542404242624072697020550242700,000$
5Francesco Pinelli (R)X100.005757838656766637402946514066718520530213925,000$
6David Spacek (R) (A)X100.005146838756656034403236504066668519550213925,000$
MOYENNE D’ÉQUIPE 100.00665080806172645250525167457574622761
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
1Jet Greaves100.00817682796061545760509570667533630231925,000$
2Colten Ellis (R)100.00895060846256586058605072647037630242750,000$
Rayé
1Magnus Chrona (R)100.00825860925050505050505072617025580241575,000$
MOYENNE D’ÉQUIPE100.0084616785575654565653657164723261
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Spencer Carbery87847294725086CAN4351,500,000$


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Brian HalonenSenators (Ott)LW251999-01-11Yes205 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien / Lien NHL
Cale FleurySenators (Ott)D261998-11-19No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Carl GrundstromSenators (Ott)RW271997-12-01No200 Lbs6 ft0NoNoNo2Pro & Farm1,975,000$0$0$No1,975,000$
UFA
Lien / Lien NHL
Cole GuttmanSenators (Ott)C251999-04-06No167 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Cole ReinhardtSenators (Ott)LW242000-02-01No215 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
RFA
Lien / Lien NHL
Colten EllisSenators (Ott)G242000-10-05Yes185 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien NHL
David SpacekSenators (Ott)D212003-02-18Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Declan CarlileSenators (Ott)D242000-05-18Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
RFA
Lien / Lien NHL
Fedor SvechkovSenators (Ott)C212003-04-05Yes206 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Francesco PinelliSenators (Ott)LW212003-04-11Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Fredrik KarlstromSenators (Ott)C261998-01-12No196 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No950,000$
UFA
Lien / Lien NHL
Grigori DenisenkoSenators (Ott)RW242000-06-24No196 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Ilya SolovyovSenators (Ott)D242000-07-20No208 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Jet GreavesSenators (Ott)G232001-03-30No170 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Joe HickettsSenators (Ott)D281996-05-04No176 Lbs5 ft8NoNoNo2Pro & Farm950,000$0$0$No950,000$
UFA
Lien / Lien NHL
Joe SnivelySenators (Ott)LW281996-01-01No176 Lbs5 ft9NoNoNo1Pro & Farm696,000$0$0$No
UFA
Lien / Lien NHL
Magnus ChronaSenators (Ott)G242000-08-28Yes194 Lbs6 ft4NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Matt BenningSenators (Ott)D301994-05-25No203 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Nathan BastianSenators (Ott)RW271997-12-06No205 Lbs6 ft4NoNoNo1Pro & Farm1,496,000$0$0$No
UFA
Lien / Lien NHL
Nikita NesterenkoSenators (Ott)C232001-09-10Yes194 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien NHL
Nikita NovikovSenators (Ott)D212003-07-25Yes209 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Oskar SundqvistSenators (Ott)LW301994-03-23No220 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Paul CotterSenators (Ott)RW251999-11-16No213 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
RFA
Lien / Lien NHL
Seth GriffithSenators (Ott)RW311993-01-04No185 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$No
UFA
Lien / Lien NHL
Tanner LaczynskiSenators (Ott)LW271997-06-01No190 Lbs6 ft1NoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$
UFA
Lien / Lien NHL
Tomas NosekSenators (Ott)LW321992-09-01No205 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Vincent HinostrozaSenators (Ott)C301994-04-03No183 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Lien / Lien NHL
Zack OstapchukSenators (Ott)RW212003-05-29Yes205 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.43195 Lbs6 ft11.931,047,661$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tanner LaczynskiOskar SundqvistSeth Griffith30104
2Cole GuttmanGrigori Denisenko25104
3Carl GrundstromJoe Snively25113
4Paul CotterVincent Hinostroza20113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningCale Fleury30113
2Declan CarlileIlya Solovyov30113
3Joe HickettsMatt Benning25122
4Cale FleuryDeclan Carlile15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Vincent HinostrozaCole GuttmanCarl Grundstrom50104
2Seth Griffith50104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryGrigori Denisenko50014
2Ilya SolovyovTanner Laczynski50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joe Snively50131
2Cole GuttmanTanner Laczynski50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningCale Fleury50131
2Declan CarlileIlya Solovyov50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150140Matt BenningCale Fleury50140
2Cole Guttman50140Declan CarlileIlya Solovyov50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole GuttmanJoe Snively50113
2Carl Grundstrom50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt BenningCale Fleury50113
2Joe HickettsIlya Solovyov50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyCole GuttmanMatt BenningCale Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyCole GuttmanSeth GriffithMatt BenningCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cole Guttman, Joe SnivelyPaul Cotter, Vincent Hinostroza
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Declan Carlile, Joe Hicketts, Ilya SolovyovDeclan CarlileIlya Solovyov, Joe Hicketts
Tirs de pénalité
Seth Griffith, Tanner Laczynski, Carl Grundstrom, Joe Hicketts,
Gardien
#1 : , #2 : Colten Ellis


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises 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
000.00%000.00%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
000.00%000.00%000.00%
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



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
1Ben Ondrus1586292484776-46200723382289280010.43%9332675316.8768106174382781574321451.13%70.58725
2Jaroslav Bednar3091091352441710039955487112.51%98648420.981840581296283417459.86%30.75847
3Riley Stillman3554114919058533106732036511.23%366728720.532236582050334530.00%00.5200
4Riley Barber2577511418940449243661612.18%22430416.75173451118112813345.76%00.88513
5Teddy Blueger249841051892416433371361013.77%76461318.532334571081341718560.61%20.82523

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
1Brent Krahn271123109380.8962.5816199215697673421341550.743148
2Joonas Korpisalo17110751130.9012.1910307102237638040520.80968
3Magnus Hellberg16110443140.9022.409732101638939850700.78789
4Mattias Modig22984120180.8793.151310122136875692120830.74775
5Thomas McCollum1736981170.8902.691009521945240940720.76869

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
203680343506122230265-3540191404111124126-240152102011106139-3387230414644140917160181605996105802075587102220393136119.49%4197781.62%21131218551.76%1183226152.32%663123453.73%200714171853554974496
2037824622042442831978641286012311427567411816030131411221911428350278511092948912229571175581142194954182619403467421.39%3725186.29%41369261552.35%1258234253.71%656125552.27%2164154218065601006525
203878253403646194221-273912170231493104-1139131701332101117-16761943475411573654913161654152852356180848159815583596016.71%2595479.15%11251211559.15%1180202958.16%680111361.10%210215061674536976518
Total Saison régulière24010591013910127076832412059370765635930554120465406356348378-30277707126319703191652502098557271252188219446785832160924465537101819519.16%105018282.67%73751691554.24%3621663254.60%1999360255.50%627444665334165129571540
Séries éliminatoires
2036624000001921-232100000128430300000713-6419355400031151380444153113286213820210.00%31970.97%28817051.76%5815138.41%489848.98%13292156437133
20372116500000775027109100000351817117400000423210327713421111252624253117315517330389129236453832125.30%1031486.41%132564250.62%29057150.79%17733053.64%527363494156274138
Total Séries éliminatoires27189000009671251311200000472621147700000494543696169265112529357669173199214835021572985911032322.33%1342382.84%341381250.86%34872248.20%22542852.57%659456651200346172

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
1Ryan Donato52211940884111412816.41%480615.502682611245152.04%10.9900
2Tyler Motte39191938114211814114313.29%1677319.823471610113143.70%10.9800
3Nate Thompson32112435536431198712.64%766820.8947111600011067.76%01.0500
4Riley Barber5215193496218512911.63%386516.6455103100024333.33%00.7900
5Nolan Patrick32161733610148611214.29%771922.475492800041170.86%00.9200

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
1Magnus Hellberg39241410.9012.7124182110911020210.0000
2Scott Wedgewood1815300.8822.08109401383220110.0000
3Joonas Korpisalo147610.8892.7286020393520000.0000
4Dylan Wells62400.8003.9132200211050000.0000
5Pyotr Kochetkov41200.8333.282012011660000.0000