Connexion

Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Olivier Paquin | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #13 vs Crunch
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Senators
0-0-0, 0pts
2022-10-13
Crunch
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Senators
0-0-0, 0pts
2022-10-15
Marlies
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bruins
0-0-0, 0pts
2022-10-18
Senators
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralOlivier Paquin
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro15
Équipe Mineure19
Limite contact 34 / 50
Espoirs7


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
1Filip ChytilXX100.006342928276658067586662632564640506402221,000,000$
2Jaret Anderson-DolanXX100.00696774796771736680606863654848050630221792,500$
3Quinton Byfield (R)X100.00654385798163705969616463754848050620192925,000$
4Isaac RatcliffeX100.00814572677957716525755963254444050610222780,833$
5Brendan PerliniXX100.00784591837951525625547064254646050600251600,000$
6Kristian ReichelX100.00769084676856635525585872254545050580231560,000$
7Jayce HawrylukXX100.00754489667050545544565461245959050560251600,000$
8Cameron MorrisonXX100.00847995707948475265505066484444050550231600,000$
9Alex Beaucage (R)XX100.00757184677146465050494761454444050530204878,333$
10German RubtsovX100.00776799686747474860454662444444050520231600,000$
11Nick DeSimoneX100.00757087637060635125464161394444050560261700,000$
12Luke Martin (R)X100.00515583587846653225302749305858050490232700,000$
Rayé
MOYENNE D’ÉQUIPE100.0072608671745561554654546239494905057
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
1Keith Kinkaid100.0051445576545351565453306161050550321612,500$
2Artyom Zagidulin100.0053526470545450555251324841050530263842,500$
Rayé
1Kevin Mandolese (R)100.0049435475514950545151304444050520213835,000$
MOYENNE D’ÉQUIPE100.005146587453525055525231514905053
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 BeaucageSenators (Ott)LW/RW202001-07-25Yes192 Lbs6 ft1NoNoNo4Pro & Farm878,333$878,333$87,833$87,833$No878,333$878,333$878,333$Lien
Artyom ZagidulinSenators (Ott)G261995-08-07No180 Lbs6 ft2NoNoNo3Pro & Farm842,500$842,500$84,250$84,250$No842,500$842,500$Lien
Brendan PerliniSenators (Ott)LW/RW251996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Cameron MorrisonSenators (Ott)C/LW231998-08-27No210 Lbs6 ft3NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Filip ChytilSenators (Ott)C/LW221999-09-05No206 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$100,000$100,000$No1,000,000$Lien
German RubtsovSenators (Ott)C231998-06-27No178 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Isaac RatcliffeSenators (Ott)LW221999-02-15No200 Lbs6 ft6NoNoNo2Pro & Farm780,833$780,833$78,083$78,083$No780,833$Lien
Jaret Anderson-DolanSenators (Ott)C/LW221999-09-12No188 Lbs5 ft11NoNoNo1Pro & Farm792,500$792,500$79,250$79,250$NoLien
Jayce HawrylukSenators (Ott)LW/RW251996-01-01No196 Lbs5 ft11NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Keith KinkaidSenators (Ott)G321989-07-03No186 Lbs6 ft3NoNoNo1Pro & Farm612,500$612,500$61,250$61,250$NoLien
Kevin MandoleseSenators (Ott)G212000-08-22Yes180 Lbs6 ft4NoNoNo3Pro & Farm835,000$835,000$83,500$83,500$No835,000$835,000$Lien
Kristian ReichelSenators (Ott)C231998-06-11No176 Lbs6 ft0NoNoNo1Pro & Farm560,000$560,000$56,000$56,000$NoLien
Luke MartinSenators (Ott)D231998-09-20Yes218 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$70,000$70,000$No700,000$Lien
Nick DeSimoneSenators (Ott)D261994-11-21No185 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Quinton ByfieldSenators (Ott)C192002-08-19Yes215 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1523.47195 Lbs6 ft21.73735,111$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140113
235122
320122
4Kristian Reichel5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
240122
310122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160113
240113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160113
240113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160131
240131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160131
240131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16013160131
24013140131
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 :


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 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
000.00%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
7 - 2022-10-1313Senators-Crunch-
9 - 2022-10-1530Senators-Marlies-
12 - 2022-10-1849Bruins-Senators-
14 - 2022-10-2065Bears-Senators-
16 - 2022-10-2277Jayhawks-Senators-
18 - 2022-10-2492Stars-Senators-
21 - 2022-10-27113Minnesota-Senators-
23 - 2022-10-29129Senators-Cabaret Lady Mary Ann-
26 - 2022-11-01148Senators-Thunder-
28 - 2022-11-03163Las Vegas-Senators-
30 - 2022-11-05183Phantoms-Senators-
33 - 2022-11-08200Comets-Senators-
35 - 2022-11-10213Senators-Spiders-
37 - 2022-11-12225Senators-Phantoms-
39 - 2022-11-14244Sound Tigers-Senators-
41 - 2022-11-16257Crunch-Senators-
44 - 2022-11-19274Spiders-Senators-
46 - 2022-11-21299Senators-Sharks-
48 - 2022-11-23315Senators-Las Vegas-
50 - 2022-11-25323Senators-Admirals-
52 - 2022-11-27345Senators-Monarchs-
55 - 2022-11-30362Wolf Pack-Senators-
57 - 2022-12-02376Senators-Wolf Pack-
58 - 2022-12-03383Sharks-Senators-
61 - 2022-12-06406Monarchs-Senators-
63 - 2022-12-08423Senators-Stars-
65 - 2022-12-10434Senators-Chill-
67 - 2022-12-12451Admirals-Senators-
69 - 2022-12-14466Rocket-Senators-
72 - 2022-12-17485Senators-Cougars-
73 - 2022-12-18497Senators-Minnesota-
75 - 2022-12-20514Senators-Oceanics-
77 - 2022-12-22528Bears-Senators-
78 - 2022-12-23534Cougars-Senators-
82 - 2022-12-27546Bruins-Senators-
84 - 2022-12-29566Senators-Bears-
86 - 2022-12-31585Senators-Cougars-
87 - 2023-01-01593Crunch-Senators-
89 - 2023-01-03601Monsters-Senators-
93 - 2023-01-07632Seattle-Senators-
95 - 2023-01-09645Chill-Senators-
98 - 2023-01-12672Senators-Jayhawks-
100 - 2023-01-14678Senators-Monsters-
102 - 2023-01-16704Senators-Chiefs-
104 - 2023-01-18712Manchots-Senators-
106 - 2023-01-20730Senators-Manchots-
107 - 2023-01-21738Oceanics-Senators-
111 - 2023-01-25766Sound Tigers-Senators-
113 - 2023-01-27782Senators-Marlies-
114 - 2023-01-28792Rocket-Senators-
117 - 2023-01-31803Senators-Rocket-
128 - 2023-02-11834Oil Kings-Senators-
130 - 2023-02-13850Heat-Senators-
131 - 2023-02-14858Senators-Sound Tigers-
134 - 2023-02-17878Baby Hawks-Senators-
136 - 2023-02-19897Chiefs-Senators-
137 - 2023-02-20903Senators-Bruins-
141 - 2023-02-24933Senators-Caroline-
142 - 2023-02-25940Senators-Rocket-
145 - 2023-02-28959Cougars-Senators-
147 - 2023-03-02976Senators-Wolf Pack-
149 - 2023-03-04996Monsters-Senators-
151 - 2023-03-061009Senators-Baby Hawks-
154 - 2023-03-091035Senators-Seattle-
156 - 2023-03-111050Senators-Comets-
157 - 2023-03-121058Senators-Heat-
159 - 2023-03-141071Senators-Oil Kings-
161 - 2023-03-161080Monsters-Senators-
163 - 2023-03-181102Marlies-Senators-
165 - 2023-03-201115Senators-Manchots-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211125Senators-Bruins-
168 - 2023-03-231139Thunder-Senators-
170 - 2023-03-251160Senators-Spiders-
172 - 2023-03-271170Cabaret Lady Mary Ann-Senators-
175 - 2023-03-301193Phantoms-Senators-
177 - 2023-04-011210Marlies-Senators-
178 - 2023-04-021220Senators-Monsters-
180 - 2023-04-041232Senators-Caroline-
182 - 2023-04-061245Senators-Cabaret Lady Mary Ann-
184 - 2023-04-081267Thunder-Senators-
186 - 2023-04-101277Caroline-Senators-
189 - 2023-04-131302Senators-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,102,666$ 1,102,666$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,804$ 0$ 15 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 5,804$ 1,102,760$




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

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

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

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

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