Connexion

Hershey Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Yves Laurent | Morale : 38 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYves Laurent
EntraîneurTodd Nelson
DivisionDivision 3
ConférenceConference 1
CapitaineMichael Sgarbossa
Assistant #1Joe Snively
Assistant #2Stefan Matteau


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs28


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
1Alex Limoges0XX100.006938956578858364676563626466684271640261775,000$
2Michael Sgarbossa (C)0X100.006138856770817866756965626471733483640312775,000$
3Joe Snively (A)0X100.005635916365817765776667616468693782630271800,000$
4Matthew Phillips0X100.005733936560898565746465596365674782630251775,000$
5Beck Malenstyn (R)0X100.008240876283768457565859635665665483620251762,500$
6Stefan Matteau (A)0XXX100.007844795982856657716058645668706677610291700,000$
7Riley Sutter0X100.007942785388708052595354585364666169580231775,000$
8Ryan Wagner0XX100.005636895965798158605756515966684682580271700,000$
9Samuel Asselin0XXX100.005639755965828755666057535864664383580251700,000$
10Samuel Laberge0XX100.007333715982678156585457555965676282580261700,000$
11Stelio Mattheos0XX100.006840765677758752575453585663656750570241700,000$
12Stephen Baylis0XX100.006940765278636051535250545168703618540291700,000$
13Dylan McIlrath (R)0X100.008582636096768661306558604971756778660312775,000$
14Chase Priskie (R)0X100.006136876271838158305556574867694281610271775,000$
15Tobie Paquette-Bisson0X100.007339845682678254305853574565675250600263780,000$
16Michael Karow0X100.007138845780666156306054584764665776590241700,000$
17Michael Kim0X100.006337935572646254305850534567693745560281700,000$
18Mike Cornell0X100.006235785370666352305150564574762347560351700,000$
Rayé
1Samuel Dove-McFalls0X100.007342745682756453675854575565676121570261700,000$
2Olivier Leblanc0X100.006038855369636152305350514566684719540271700,000$
MOYENNE D’ÉQUIPE100.00684082597675755753595657546769496459
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
1Hunter Shepard0100.00746364797372747372747368813672710272775,000$
2Jaxson Stauber (R)0100.00736465787271737271737264715759700241883,750$
Rayé
1Parker Gahagen0100.0068656679676668676668676983364768X0301700,000$
2Olle Eriksson Ek0100.00687273816766686766686763694929670241700,000$
MOYENNE D’ÉQUIPE100.0071666779706971706971706676455269
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson67736671797371CAN532800,000$


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 restantSalaire moyenSalaire moyen 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 LimogesHershey Bears (WSH)C/LW261997-09-16No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Beck MalenstynHershey Bears (WSH)LW251998-02-04Yes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$700,000$150,000$0$0$No------------------Lien
Chase PriskieHershey Bears (WSH)D271996-03-19 17:39:54Yes183 Lbs7 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Dylan McIlrathHershey Bears (WSH)D311992-04-20Yes231 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No775,000$--------No--------Lien
Hunter ShepardHershey Bears (WSH)G271995-11-07No209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No775,000$--------No--------Lien
Jaxson StauberHershey Bears (WSH)G241999-04-27 15:20:31Yes191 Lbs6 ft7NoNoTrade2024-03-02NoNo1FalseFalsePro & Farm883,750$189,375$700,000$150,000$0$0$No------------------
Joe SnivelyHershey Bears (WSH)C271996-01-01No176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm800,000$171,429$700,000$150,000$0$0$No------------------Lien
Matthew PhillipsHershey Bears (WSH)C251998-04-06No140 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Michael KarowHershey Bears (WSH)D241998-12-18No200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Michael KimHershey Bears (WSH)D281995-06-28No200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Michael SgarbossaHershey Bears (WSH)C311992-07-25No179 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No775,000$--------No--------Lien
Mike CornellHershey Bears (WSH)D351988-03-12No190 Lbs5 ft11NoNoAssign ManuallyNoNo12024-03-02FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Olivier LeblancHershey Bears (WSH)D271996-02-17No172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$750,000$160,714$0$0$No------------------Lien
Olle Eriksson EkHershey Bears (WSH)G241999-06-22No189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Parker GahagenHershey Bears (WSH)G301993-05-17No195 Lbs6 ft2NoYesN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Riley SutterHershey Bears (WSH)C231999-10-25No210 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$750,000$160,714$0$0$No------------------Lien
Ryan WagnerHershey Bears (WSH)LW/RW271996-04-15No185 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Samuel AsselinHershey Bears (WSH)C/LW/RW251998-07-01No180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Samuel Dove-McFallsHershey Bears (WSH)C261997-04-10No207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Samuel LabergeHershey Bears (WSH)LW/RW261997-04-10No206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Stefan MatteauHershey Bears (WSH)C/LW/RW291994-02-23No208 Lbs6 ft2NoNoN/ANoNo1FalseFalseFarm Only700,000$150,000$700,000$150,000$0$0$No------------------Lien
Stelio MattheosHershey Bears (WSH)LW/RW241999-06-14No196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Stephen BaylisHershey Bears (WSH)LW/RW291994-08-01No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Tobie Paquette-BissonHershey Bears (WSH)D261997-02-01No194 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm780,000$167,143$750,000$160,714$0$0$No780,000$780,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.92193 Lbs6 ft11.21739,635$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesMichael SgarbossaStefan Matteau33212
2Beck MalenstynJoe SnivelySamuel Asselin32122
3Samuel LabergeMatthew PhillipsRyan Wagner23230
4Stephen BaylisRiley SutterStelio Mattheos12113
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieMichael Karow40131
2Tobie Paquette-BissonDylan McIlrath40230
3Michael KimMike Cornell10140
4Dylan McIlrathChase Priskie10230
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesMichael SgarbossaStefan Matteau50014
2Beck MalenstynJoe SnivelySamuel Asselin50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie50113
2Tobie Paquette-BissonMichael Karow50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael SgarbossaAlex Limoges50140
2Joe SnivelyBeck Malenstyn50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie50140
2Tobie Paquette-BissonMichael Karow50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Sgarbossa55050Dylan McIlrathChase Priskie50140
2Joe Snively45050Tobie Paquette-BissonMichael Karow50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael SgarbossaAlex Limoges50032
2Joe SnivelyBeck Malenstyn50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathChase Priskie50122
2Tobie Paquette-BissonMichael Karow50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesMichael SgarbossaStefan MatteauDylan McIlrathChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesMichael SgarbossaStefan MatteauDylan McIlrathChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Beck Malenstyn, Stefan Matteau, Samuel AsselinBeck Malenstyn, Stefan MatteauBeck Malenstyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Karow, Michael Kim, Mike CornellMichael KarowMichael Karow, Michael Kim
Tirs de pénalité
Alex Limoges, Michael Sgarbossa, Joe Snively, Matthew Phillips, Beck Malenstyn
Gardien
#1 : Hunter Shepard, #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
Alex Limoges, Michael Sgarbossa, Joe Snively, Matthew Phillips, Beck Malenstyn, Stefan Matteau, Stefan Matteau, Samuel Asselin, Ryan Wagner, Samuel Laberge, Riley Sutter
Lignes de défense personnalisées en prolongation
Dylan McIlrath, Chase Priskie, Tobie Paquette-Bisson, Michael Karow, Michael Kim


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 billets3510
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,775,125$ 1,720,000$ 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$ 6 0$ 0$




Hershey Bears 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

Hershey Bears 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

Hershey Bears 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

Hershey Bears 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

Hershey Bears 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