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Hershey
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Stéphane Paquette | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralStéphane Paquette
EntraîneurBob Woods
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs48


Historique d'équipe

Saison actuelle0-0
Historique75-71-16 (0.463%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)5-5
Coupe Stanley1


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
1Nathan GerbeXX100.00793287626570867172677070777969185000342550,000$
2Josh JoorisXX100.00642499708377856682677067856463315000312750,000$
3Drew LarmanXXX100.00703784467366847458717270699878115000372550,000$
4Tomas TatarXX100.00693493787285967570707357886558485000312550,000$
5Frans NielsenX100.0071329052786994699167686984918285000382550,000$
6Brian FlynnXXX100.00712195667370886681667070756365225000332550,000$
7Brett ConnollyX100.00743292768878797571717664816360545000302550,000$
8Michael SgarbossaXX100.00693288707577866878666657795954415000292725,000$
9Gregory HofmannXX100.00633095778376756670656864756161475000292950,000$
10Travis HamonicX100.0073505367768388531534987546968345000322550,000$
11Chad RuhwedelX100.00822690717978824950494990757373205000322550,000$
12Kevin ConnautonX100.00683571708080915550525086746052415000321999,000$
13Jake MuzzinX100.007134746787869856505252867572713750003321,500,000$
14Alex GoligoskiX100.006033975574658461355257898191901750003621,450,000$
15Tucker PoolmanX100.00782590758286834450444286756261385000292950,000$
Rayé
1Justin AbdelkaderXXX100.007440815775688468596873718491781850003511,250,000$
MOYENNE D’ÉQUIPE100.0071328666787686646161637477736830500
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
1Mikko Koskinen100.0068829184818581838282777878285000332550,000$
2Riku Helenius100.0060928281738383888669738281185000342550,000$
Rayé
MOYENNE D’ÉQUIPE100.006487878377848286847675808023500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods72827770909674CAN533625,000$


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Alex GoligoskiHershey (WSH)D361985-07-30No187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------No--------
Brett ConnollyHershey (WSH)LW301992-05-02No199 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Brian FlynnHershey (WSH)C/LW/RW331988-07-26No191 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Chad RuhwedelHershey (WSH)D321990-05-07 11:57:50No191 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Drew LarmanHershey (WSH)C/LW/RW371985-05-15No186 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------
Frans NielsenHershey (WSH)C381984-04-24No188 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Gregory HofmannHershey (WSH)LW/RW291992-11-13 06:59:55No194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------No--------
Jake MuzzinHershey (WSH)D331989-02-21No219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Josh JoorisHershey (WSH)C/RW311990-07-14No190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Justin AbdelkaderHershey (WSH)C/LW/RW351987-02-25No212 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No------------------
Kevin ConnautonHershey (WSH)D321990-02-23No204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm999,000$0$0$No------------------Lien
Michael SgarbossaHershey (WSH)C/LW291992-07-25No191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm725,000$0$0$No725,000$--------No--------Lien
Mikko KoskinenHershey (WSH)G331988-07-18 14:38:42No206 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Nathan GerbeHershey (WSH)LW/RW341987-07-24No175 Lbs5 ft6NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------
Riku HeleniusHershey (WSH)G341988-01-10 17:37:02No218 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------
Tomas TatarHershey (WSH)LW/RW311990-12-01No189 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------Lien
Travis HamonicHershey (WSH)D321990-01-19No219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm550,000$0$0$No550,000$--------No--------
Tucker PoolmanHershey (WSH)D291993-06-08 09:17:17No199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1832.67198 Lbs6 ft11.89781,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyTomas Tatar33122
2Nathan GerbeDrew LarmanBrian Flynn32122
3Gregory HofmannFrans NielsenJosh Jooris30122
4Brett ConnollyMichael Sgarbossa5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin35122
2Chad RuhwedelKevin Connauton30122
3Travis HamonicTucker Poolman25122
4Alex GoligoskiJake Muzzin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyTomas Tatar50122
2Nathan GerbeDrew LarmanBrian Flynn50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett Connolly50122
2Tomas TatarDrew Larman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Connolly50122Alex GoligoskiJake Muzzin50122
250122Chad RuhwedelKevin Connauton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett Connolly50122
2Tomas TatarDrew Larman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyTomas TatarAlex GoligoskiJake Muzzin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyTomas TatarAlex GoligoskiJake Muzzin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Frans Nielsen, Josh Jooris, Gregory HofmannFrans Nielsen, Josh JoorisGregory Hofmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Hamonic, Tucker Poolman, Chad RuhwedelTravis HamonicTucker Poolman, Chad Ruhwedel
Tirs de pénalité
Brett Connolly, , Tomas Tatar, Drew Larman, Frans Nielsen
Gardien
#1 : Mikko Koskinen, #2 : Riku Helenius
Lignes d’attaque personnalisées en prolongation
Brett Connolly, , Tomas Tatar, Drew Larman, Frans Nielsen, Nathan Gerbe, Nathan Gerbe, Brian Flynn, Josh Jooris, Gregory Hofmann, Michael Sgarbossa
Lignes de défense personnalisées en prolongation
Alex Goligoski, Jake Muzzin, Chad Ruhwedel, Kevin Connauton, Travis Hamonic


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 billets5030
Assistance0%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,407,400$ 1,407,400$ 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$




Hershey 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
1Morgan Geekie15989105194427014536168612.97%35317519.97193049151000815354.93%41.2224
2Pierre Engvall14078107185555215024771210.96%33287320.53222648148112612545.94%21.2917
3Justin Danforth156628314558022031761510.08%33310719.922430541641231513554.09%20.9327
4Tyler Lewington1612386109193213751353336.91%255372623.14518231660115240%00.5900
5Brendan Perlini164435295-28872731374928.74%22279817.068192711400004150.00%00.6800

Hershey 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
1Jhonas Enroth79433120.9163.1045738423628020200.76913
2Anthony Stolarz47281610.9083.9627412118119740000.6005
3Jonas Gustavsson38181730.9063.1222694011812510120.7508

Hershey 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
20823633041442672402741269011221671026541102403022100138-38932674617282494818411271389288290458270981473913493375516.32%3074884.36%21590309151.44%1559316349.29%618126748.78%1911129519876431071525
2182373508101366341254116200410017817264121150400118816919923666431009011431268993993133513771240463562102581315373647821.43%3448276.16%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
Total Saison régulière16461710121424593598-582303307822301300182313805602292298-61685931054164717225194160186537217221002184104658119391614284171912317.11%66513779.40%103451695649.61%3392704948.12%1371282548.53%380325403939128621841086
Séries éliminatoires
2022166000007450241183000003625111183000003825133274124198012323262796236258257457312141813911172420.51%781087.18%146592850.11%42785050.24%16135545.35%551376560180298147
21624000002530-5312000001216-4312000001314-1425436810987127710176982297768711724520.83%291065.52%115828555.44%16728558.60%7412559.20%14195136488339
Total Séries éliminatoires1055000003235-34310000018135624000001422-810325789111489145313610813376354104103198581220.69%381171.05%029751857.34%25443358.66%11118460.33%2811892699215376

Hershey 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
1Morgan Geekie27111930714337210510.48%356520.941563000004356.50%11.0600
2Justin Danforth27181129614425112714.17%557121.1794133710144054.27%11.0100
3Pierre Engvall27919288641611247.26%458821.80012123200020148.57%10.9500
4Wyatt Kalynuk28715223416205113.73%5365523.41538270110110%00.6700
5Drake Caggiula286142045937787.69%553219.012461800001047.62%00.7500

Hershey 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 Gustavsson1614110.9401.901009013253001000
2Jhonas Enroth83320.9123.00520202629600000
3Anthony Stolarz41300.8965.23241002120100100