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Syracuse Crunch
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Fred Raymond | Morale : 50 | Moyenne d’équipe : 65

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFred Raymond
DivisionPatrick
ConférenceCampbell Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure18
Limite Contrat37 / 50
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique122-80-22 (0.545%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)4 - 12 (0.250%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Cole KoepkeXX100.009261947178909066656769757980800507102921,450,000$
2Calum Ritchie (R)X100.00636091767891917280717269827272050710221940,833$
3Fraser Minten (R)X100.00826093737987876886687176817373050710221879,166$
4Jesperi KotkaniemiXX100.007562927281878767866968697882820477002614,820,000$
5Zack Ostapchuk (R)X100.008773926882858562856467747774740506902412,350,000$
6Sandis Vilmanis (R)X100.00816090717368686686657067807171050670231930,000$
7Isaac RatcliffeX100.006060926678606060656265657575750506302821$
8Jonne TammelaXX100.006060606060606060606060606060600505802911$
9Alexei LipanovX100.006060606060606060606060606060600505802711$
10Matej PekarXX100.006060606060606060606060606060600505802711$
11Dennis CholowskiX100.00626093728070706865706672769090050690291875,000$
12Henry ThrunX100.00696394718172726765686675768686047690261850,000$
13Grant HuttonX100.006660947182626266656765717591910506803111$
14Reilly WalshX100.00606085706760606565656568757373050640282850,000$
15Dominik Badinka (R)X100.006060606060606060606060606060600505802121$
16Zack HayesX100.006060606060606060606060606060600505802821$
17Jett Woo (R)X100.00606060606060606060606060606060050580261875,000$
Rayé
1Luke HenmanX100.006060606060606060606060606060600505802711$
MOYENNE D’ÉQUIPE100.0068617967717070646964656771727205064
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nikita Tolopilo100.0080808086818282828282808282050840271850,000$
Rayé
MOYENNE D’ÉQUIPE100.008080808681828282828280828205084
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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexei LipanovSyracuse Crunch (TBL)C271999-08-17RUSNo165 Lbs6 ft0NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm1$1$0$0$No---------------------------
Calum RitchieSyracuse Crunch (TBL)C222005-01-21CANYes185 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-13FalseFalsePro & Farm940,833$940,833$0$0$No---------------------------
Cole KoepkeSyracuse Crunch (TBL)LW/RW291998-05-17USANo195 Lbs6 ft1NoNoAssign ManuallyYesNo22026-07-13FalseFalsePro & Farm1,450,000$1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------
Dennis CholowskiSyracuse Crunch (TBL)D291998-02-15CANNo165 Lbs6 ft1NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien NHL
Dominik BadinkaSyracuse Crunch (TBL)D212005-11-27CZEYes183 Lbs6 ft3NoNoTrade2025-08-16NoNo22026-07-13FalseFalsePro & Farm1$1$0$0$No1$--------1$--------No--------
Fraser MintenSyracuse Crunch (TBL)C222004-07-05CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-13FalseFalsePro & Farm879,166$879,166$0$0$No---------------------------
Grant HuttonSyracuse Crunch (TBL)D311995-07-25USANo205 Lbs6 ft3NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm1$1$0$0$No---------------------------
Henry ThrunSyracuse Crunch (TBL)D262001-03-12USANo190 Lbs6 ft2NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------
Isaac RatcliffeSyracuse Crunch (TBL)LW281999-02-15CANNo194 Lbs6 ft5NoNoFree AgentYesNo22026-07-13FalseFalsePro & Farm1$1$0$0$No1$--------1$--------No--------Lien NHL
Jesperi KotkaniemiSyracuse Crunch (TBL)C/LW262000-07-06FINNo184 Lbs6 ft2NoNoFree Agent2023-12-10YesNo12026-07-13FalseFalsePro & Farm4,820,000$4,820,000$0$0$No---------------------------Lien NHL
Jett WooSyracuse Crunch (TBL)D262000-07-27CANYes205 Lbs6 ft0NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------
Jonne TammelaSyracuse Crunch (TBL)LW/RW291997-08-05FINNo180 Lbs5 ft10NoNoAssign ManuallyYesNo12026-07-13FalseFalsePro & Farm1$1$0$0$No---------------------------Lien NHL
Luke HenmanSyracuse Crunch (TBL)C272000-04-29CANNo168 Lbs6 ft0NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm1$1$0$0$No---------------------------Lien NHL
Matej PekarSyracuse Crunch (TBL)C/RW272000-02-10CZENo170 Lbs6 ft0NoNoFree AgentYesNo12026-07-13FalseFalsePro & Farm1$1$0$0$No---------------------------Lien NHL
Nikita TolopiloSyracuse Crunch (TBL)G272000-04-06BELNo230 Lbs6 ft6NoNoFree AgentNoNo12026-07-13FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------
Reilly WalshSyracuse Crunch (TBL)D281999-04-21USANo181 Lbs5 ft11NoNoFree AgentYesNo22026-07-13FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------
Sandis VilmanisSyracuse Crunch (TBL)LW232004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo12026-07-16FalseFalsePro & Farm930,000$930,000$0$0$No---------------------------
Zack HayesSyracuse Crunch (TBL)D281999-04-24CANNo218 Lbs6 ft3NoNoFree AgentYesNo22026-07-13FalseFalsePro & Farm1$1$0$0$No1$--------1$--------No--------
Zack OstapchukSyracuse Crunch (TBL)C242003-05-29CANYes205 Lbs6 ft3NoNoAssign ManuallyYesNo12026-07-13FalseFalsePro & Farm2,350,000$2,350,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1926.32190 Lbs6 ft21.26824,737$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke25122
2Fraser Minten25122
3Zack OstapchukCalum Ritchie25122
4Sandis VilmanisFraser Minten25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
125122
225122
325122
425122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole Koepke50122
2Fraser Minten50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Cole Koepke50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
25012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Cole Koepke50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Koepke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole Koepke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Zack Ostapchuk, Calum Ritchie, Zack OstapchukCalum Ritchie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Cole Koepke, , Zack Ostapchuk
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , Cole Koepke, , Zack Ostapchuk, Fraser Minten, , Calum Ritchie, ,
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
TotalDomicile Visiteur
# 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 RI
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 billets5030
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
42 0 - 0%0$0$3000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,567,000$ 1,567,000$ 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$




Syracuse Crunch 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
1Andreas Englund388182352534199140680979318449.87%973930523.98335184335922317517062.79%141.15822
2Zack Ostapchuk388246177423175169594753207811.84%218706218.202024441960000292055.02%211.20939
3Justin Dowling21225116541616358231345106023.68%149397218.7463289117792113639254.97%382.09518
4Cole Koepke3881911933844343669496149012.82%283667717.2129649324518133163291346.90%101.15126
5Jayson Megna3049621230812023226842411688.22%180514516.9320365612804400856.67%01.20020

Syracuse Crunch 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
1Jonas Johansson30415296480.9262.7918158048441142463083600.739184
2Nikita Tolopilo924632120.9053.46529610130532061787810.72711

Syracuse Crunch 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
2024763325016472952247138209013231671115638131600324128113158929547276701119977410303311549579115728971039107311531874322.99%2044577.94%12773171245.15%806177645.38%526106749.30%1780123017565741086527
2024763325016472952247138209013231671115638131600324128113158929547276701119977410303311549579115728971039107311531874322.99%2044577.94%12773171245.15%806177645.38%526106749.30%1780123017565741086527
20258440300571138030773422611014002031267742141904311177181-410038064410241115612890829561100970873243088110975219551966231.63%2085275.00%6856166751.35%933173253.87%720129355.68%1806112419386621321674
Total Saison régulière2361068007199159707552151186629031046537348189118405104959433407262789701588255813394322238289022340828842695138888231872898426157014825.96%61614276.95%302402509147.18%2545528448.16%1772342751.71%536835845450181134941728
Séries éliminatoires
2023514000001522-72110000098130300000614-8215264100483019475714801834944861915.26%12558.33%0519951.52%6710265.69%337146.48%12180102397638
2024734000002729-23210000012102413000001519-4627437000127802548878862265974511011545.45%20670.00%35813343.61%6515242.76%4110539.05%148941695811052
202540400000820-122020000038-520200000512-708132100422013549483801444521971119.09%80100.00%0357347.95%438948.31%285253.85%895587326332
Total Séries éliminatoires16412000005071-21734000002426-2918000002645-1985082132002017130583212197172259219111029341717.07%401172.50%314430547.21%17534351.02%10222844.74%358230359130250124

Syracuse Crunch 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
1Justin Dowling16169251212227521.33%630719.25415910112154.31%01.6200
2Jayson Megna1221113101520405.00%824720.60033610120045.45%01.0500
3Isaac Ratcliffe165813-2417133414.71%622414.01022300001057.14%01.1600
4Andreas Englund164610-11183038449.09%2839224.51022810120037.50%00.5100
5Colton White163710-401834378.11%3034521.5701150004000%00.5800

Syracuse Crunch 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
1Jonas Johansson124710.8864.2172700514482343000
2Nikita Tolopilo40400.8854.092350016139650000