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Connexion

Hershey Bears
GP: 19 | W: 13 | L: 6
GF: 70 | GA: 50 | PP%: 31.03% | PK%: 67.12%
DG: Francis Boisvert | Morale : 15 | Moyenne d’équipe : 60

Centre de jeu
Syracuse Crunch
16-3-0, 32pts
5
1 Hershey Bears
13-6-0, 26pts
Team Stats
W3SéquenceL3
9-2-0Fiche domicile7-2-0
7-1-0Fiche domicile6-4-0
8-1-1Derniers 10 matchs6-3-1
5.42Buts par match 3.68
2.26Buts contre par match 2.63
41.67%Pourcentage en avantage numérique31.03%
100.00%Pourcentage en désavantage numérique67.12%
Hershey Bears
13-6-0, 26pts
2
3 Syracuse Crunch
16-3-0, 32pts
Team Stats
L3SéquenceW3
7-2-0Fiche domicile9-2-0
6-4-0Fiche domicile7-1-0
6-3-1Derniers 10 matchs8-1-1
3.68Buts par match 5.42
2.63Buts contre par match 2.26
31.03%Pourcentage en avantage numérique41.67%
67.12%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Mathieu Olivier
9
Passes
Dmitri Voronkov
15
Points
Dmitri Voronkov
20
Plus/Moins
Nicolas Hague
27
Victoires
Jet Greaves
9
Pourcentage d’arrêts
Erik Portillo
0.936

Statistiques d’équipe
Buts pour
70
3.68 GFG
Tirs pour
621
32.68 Avg
Pourcentage en avantage numérique
31.0%
9 GF
Début de zone offensive
39.3%
Buts contre
50
2.63 GAA
Tirs contre
523
27.53 Avg
Pourcentage en désavantage numérique
67.1%%
24 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralFrancis Boisvert
DivisionSUD-EST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,999
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 59
Espoirs26


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
1Dmitri Voronkov0X100.007048777295858976757174697265685650660232925,000$
2Matt Coronato0X100.0060389074688889735869716374646784506302121,492,000$
3Brandon Duhaime0X100.0080777167828090655863628261697150506202631,000,000$
4Mathieu Olivier0X100.009089626883828664566266726270723550620271800,000$
5Joel Kiviranta0X100.007334926971778765586264746370723650620282775,000$
6William Carrier0X100.0086378868847875665861626460747254506202921,250,000$
7Zemgus Girgensons0X100.007954856682798763786061746280736550620302900,000$
8Adam Ruzicka0X100.006238936789777666776961626265675850610241775,000$
9Josh Doan0X100.007039876880868966696766646863647650610221925,000$
10Kailer Yamamoto0X100.006238856965808368726765637169687050610252775,000$
11Cole Koepke0X100.007939936579888564616264636567694250610252850,000$
12Ivan Miroshnichenko0X100.0070379066748586655662646166626382506002021,700,000$
13Nicolas Hague0X100.0075798166998887643067597352717064506202541,500,000$
14Tyler Kleven0X100.0082548267948287623063606651636573506102221,125,000$
15Emil Lilleberg0X100.0077556967858288623070586750646659506002311,000,000$
16Parker Wotherspoon0X100.0073548365768681633068587150687050506002611,000,000$
17Drew Helleson0X100.007542746786848563306559665264657050600233925,000$
Rayé
1Brendan Perlini0X100.007741806386957157605962615868707250590282775,000$
2Carson Meyer0X100.007139736470847863566261606368704250590261775,000$
3Brandon Biro0X100.005536886366788262676361626367693750580261775,000$
4Danila Klimovich0X100.007242736081907659575561586362647450570212872,000$
5Miko Matikka (R)0X100.007238955481656453555250565162646750530201775,000$
6Brayden Pachal0X100.008051696481838461306857734966684250600243775,000$
7Andreas Englund0X100.0080736963868283583066536746697161505902821,000,000$
8Nolan Allan0X100.0070547365798283633064576649626477505902111,000,000$
9Matthew Kessel0X100.007039856581838561306458634965674750590231884,000$
10Maksymilian Szuber0X100.007240776081828658306255594863654950570213950,000$
MOYENNE D’ÉQUIPE100.00734881668183836351646166596768595060
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 Greaves0100.00829187728180828180828164715750590231775,000$
2Erik Portillo0100.00778379967675777675777665736450560232783,000$
Rayé
1Amir Miftakhov (R)0100.00667172706564666564666562674950500242775,000$
MOYENNE D’ÉQUIPE100.0075827979747375747375746470575055
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
1Dmitri VoronkovHershey Bears (WAS)LW19515201118040247937666.33%443122.702357220004560172.73%222816000.9300000202
2Matt CoronatoHershey Bears (WAS)RW196111713201896924538.70%431716.73213620000001157.14%14149001.0700000320
3Zemgus GirgensonsHershey Bears (WAS)C19511161160422344122811.36%1142822.570665220004600072.98%618816000.7500000131
4Adam RuzickaHershey Bears (WAS)C1977141355232850122714.00%736119.013036220002383173.93%23458010.7800010113
5Kailer YamamotoHershey Bears (WAS)RW199514800241157244515.79%432317.0400000000002080.00%15126010.8600000311
6Mathieu OlivierHershey Bears (WAS)RW15941313180371240122422.50%524416.2720229000012190.91%11315001.0700000112
7Josh DoanHershey Bears (WAS)RW195712820181138142613.16%624813.0800000000000046.67%1574100.9700000001
8Joel KivirantaHershey Bears (WAS)LW197512200271335191920.00%627314.410330210004470160.00%15139000.8800000111
9Ivan MiroshnichenkoHershey Bears (WAS)LW196511112033142882021.43%727214.3600000000001066.29%89410000.8100000002
10William CarrierHershey Bears (WAS)LW19731011404193992017.95%628214.86000030002143146.67%1576000.7100000022
11Nicolas HagueHershey Bears (WAS)D15178273755017279133.70%3246430.9600009000051100%01336000.3400100021
12Emil LillebergHershey Bears (WAS)D190885280581422770%2449225.900000800003800100.00%11035000.3300000000
13Cole KoepkeHershey Bears (WAS)LW19178300236123188.33%21889.910000100002000%026000.8500000000
14Brandon DuhaimeHershey Bears (WAS)RW1925722353682041110.00%221111.1400000000000064.29%4289000.6600000000
15Tyler KlevenHershey Bears (WAS)D1505520803819165110%1540026.680000800006000100.00%1837000.2500000100
16Parker WotherspoonHershey Bears (WAS)D15044580261823840%1638325.5901118000041000%0430000.2100000000
17Drew HellesonHershey Bears (WAS)D19044412030710520%1228214.8600001000012000%0114000.2800000000
Statistiques d’équipe totales ou en moyenne307701131831671731556424360921239411.49%163560618.2691423271600001642713671.52%1092147266120.6500110131316
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
1Jet GreavesHershey Bears (WAS)159420.8972.9091001444292070000150010
2Erik PortilloHershey Bears (WAS)54000.9361.3626401694501000419010
Statistiques d’équipe totales ou en moyenne2013420.9042.55117502505232571001919020


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 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 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
Adam RuzickaHershey Bears (WAS)C241999-05-11SVKNo215 Lbs6 ft4NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Amir MiftakhovHershey Bears (WAS)G242000-04-26RUSYes172 Lbs6 ft0NoNoFree Agent2025-09-29NoNo22025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Andreas EnglundHershey Bears (WAS)D281996-01-21SWENo200 Lbs6 ft4NoNoFree Agent2023-12-21NoNo22024-09-02FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Brandon BiroHershey Bears (WAS)LW261998-03-11CANNo170 Lbs5 ft11NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Brandon DuhaimeHershey Bears (WAS)RW261997-05-22USANo210 Lbs6 ft2NoNoFree AgentNoNo32025-12-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Brayden PachalHershey Bears (WAS)D241999-08-23CANNo202 Lbs6 ft2NoNoFree Agent2025-03-13NoNo32025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Brendan PerliniHershey Bears (WAS)LW281996-04-27CANNo211 Lbs6 ft3NoNoFree AgentNoNo22024-09-02FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------Lien
Carson MeyerHershey Bears (WAS)RW261997-08-18USANo184 Lbs5 ft11NoNoFree AgentNoNo12025-10-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Cole KoepkeHershey Bears (WAS)LW251998-05-17USANo207 Lbs6 ft1NoNoFree AgentNoNo22024-10-14FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Danila KlimovichHershey Bears (WAS)RW212003-01-09BLRNo202 Lbs6 ft2NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm872,000$0$0$No872,000$--------872,000$--------No--------Lien
Dmitri VoronkovHershey Bears (WAS)LW232000-09-10RUSNo227 Lbs6 ft5NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Drew HellesonHershey Bears (WAS)D232001-03-26USANo213 Lbs6 ft3NoNoFree AgentNoNo32025-10-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Emil LillebergHershey Bears (WAS)D232001-02-02NORNo208 Lbs6 ft3NoNoFree AgentNoNo12025-11-22FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Erik PortilloHershey Bears (WAS)G232000-09-03SWENo218 Lbs6 ft6NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm783,000$0$0$No783,000$--------783,000$--------No--------Lien
Ivan MiroshnichenkoHershey Bears (WAS)LW202004-02-04RUSNo185 Lbs6 ft1NoNoFree Agent2024-12-23NoNo22025-10-13FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Jet GreavesHershey Bears (WAS)G232001-03-30CANNo190 Lbs6 ft0NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Joel KivirantaHershey Bears (WAS)LW281996-03-23FINNo185 Lbs5 ft11NoNoFree AgentNoNo22024-09-02FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Josh DoanHershey Bears (WAS)RW222002-02-01USANo198 Lbs6 ft2NoNoTrade2025-09-26NoNo12024-09-16FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Kailer YamamotoHershey Bears (WAS)RW251998-09-29USANo178 Lbs5 ft9NoNoFree Agent2025-03-23NoNo22025-10-13FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Maksymilian SzuberHershey Bears (WAS)D212002-08-25DEUNo190 Lbs6 ft3NoNoFree AgentNoNo32024-10-14FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Mathieu OlivierHershey Bears (WAS)RW271997-02-11CANNo226 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Matt CoronatoHershey Bears (WAS)RW212002-11-14USANo183 Lbs5 ft10NoNoFree Agent2025-09-17NoNo22025-10-13FalseFalsePro & Farm1,492,000$0$0$No1,492,000$--------1,492,000$--------No--------Lien
Matthew KesselHershey Bears (WAS)D232000-06-23USANo205 Lbs6 ft2NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm884,000$0$0$No---------------------------Lien
Miko MatikkaHershey Bears (WAS)RW202003-10-26FINYes187 Lbs6 ft3NoNoProspectNoNo12025-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nicolas HagueHershey Bears (WAS)D251998-12-05CANNo245 Lbs6 ft6NoNoFree AgentNoNo42025-11-21FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------Lien
Nolan AllanHershey Bears (WAS)D212003-04-28CANNo195 Lbs6 ft2NoNoFree AgentNoNo12025-12-03FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Parker WotherspoonHershey Bears (WAS)D261997-08-24CANNo192 Lbs6 ft1NoNoFree AgentNoNo12025-11-21FalseFalsePro & Farm1,000,000$0$0$No---------1,250,000$-----------------Lien
Tyler KlevenHershey Bears (WAS)D222002-01-10USANo221 Lbs6 ft5NoNoFree AgentNoNo22025-10-13FalseFalsePro & Farm1,125,000$0$0$No1,125,000$--------1,125,000$--------No--------Lien
William CarrierHershey Bears (WAS)LW291994-12-20CANNo220 Lbs6 ft2NoNoFree AgentNoNo22025-11-25FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien
Zemgus GirgensonsHershey Bears (WAS)C301994-01-05LVANo192 Lbs6 ft3NoNoFree AgentNoNo22024-10-14FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.23201 Lbs6 ft21.83954,367$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitri VoronkovZemgus GirgensonsKailer Yamamoto40014
2Mathieu OlivierAdam RuzickaMatt Coronato30014
3William CarrierIvan MiroshnichenkoJosh Doan20122
4Cole KoepkeBrandon DuhaimeJoel Kiviranta10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueTyler Kleven40122
2Emil LillebergParker Wotherspoon38122
3Drew HellesonNicolas Hague22122
4Tyler KlevenEmil Lilleberg0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmitri VoronkovZemgus GirgensonsMathieu Olivier60122
2Joel KivirantaAdam RuzickaMatt Coronato40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueTyler Kleven60122
2Emil LillebergParker Wotherspoon40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zemgus GirgensonsDmitri Voronkov60122
2Adam RuzickaJoel Kiviranta40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueTyler Kleven60122
2Emil LillebergParker Wotherspoon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zemgus Girgensons60122Nicolas HagueTyler Kleven60122
2Adam Ruzicka40122Emil LillebergParker Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zemgus GirgensonsDmitri Voronkov60122
2Adam RuzickaJoel Kiviranta40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas HagueTyler Kleven60122
2Emil LillebergParker Wotherspoon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitri VoronkovZemgus GirgensonsMathieu OlivierNicolas HagueTyler Kleven
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmitri VoronkovZemgus GirgensonsMathieu OlivierNicolas HagueTyler Kleven
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Kiviranta, William Carrier, Zemgus GirgensonsJoel Kiviranta, William CarrierJoel Kiviranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Emil Lilleberg, Parker Wotherspoon, Drew HellesonEmil LillebergEmil Lilleberg, Parker Wotherspoon
Tirs de pénalité
Dmitri Voronkov, Mathieu Olivier, Matt Coronato, Brandon Duhaime, Joel Kiviranta
Gardien
#1 : Jet Greaves, #2 : Erik Portillo
Lignes d’attaque personnalisées en prolongation
Dmitri Voronkov, Mathieu Olivier, Matt Coronato, Brandon Duhaime, Joel Kiviranta, William Carrier, Zemgus Girgensons, Josh Doan, Kailer Yamamoto, Cole Koepke
Lignes de défense personnalisées en prolongation
Nicolas Hague, Tyler Kleven, Emil Lilleberg, Parker Wotherspoon, Drew Helleson


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
1Binghamton Senators6420000026161033000000208123120000068-280.66726416701526372219166201223311614585214000%28678.57%030842971.79%27037871.43%20328571.23%493272311146371220
2Chicago Wolves440000002111102200000095422000000126681.000213859005263721351662012233112641309913538.46%15846.67%030842971.79%27037871.43%20328571.23%493272311146371220
3Lowell Devils440000001257220000006332200000062481.0001217290152637285166201223317929128916425.00%6350.00%030842971.79%27037871.43%20328571.23%493272311146371220
4Syracuse Crunch514000001118-72020000028-631200000910-120.20011193000526372182166201223311575648167000%24770.83%030842971.79%27037871.43%20328571.23%493272311146371220
Total19136000007050209720000037241310640000033267260.68470115185025263726211662012233152317117556929931.03%732467.12%030842971.79%27037871.43%20328571.23%493272311146371220
_Since Last GM Reset19136000007050209720000037241310640000033267260.68470115185025263726211662012233152317117556929931.03%732467.12%030842971.79%27037871.43%20328571.23%493272311146371220
_Vs Conference1412200000593227770000003516197520000024168240.8575996155025263724391662012233136611512740229931.03%491765.31%030842971.79%27037871.43%20328571.23%493272311146371220

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1926L37011518562152317117556902
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1913600007050
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
97200003724
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
106400003326
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
29931.03%732467.12%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
16620122331526372
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
30842971.79%27037871.43%20328571.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
493272311146371220


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
13Hershey Bears2Lowell Devils0WSommaire du match
311Hershey Bears4Lowell Devils2WSommaire du match
519Lowell Devils2Hershey Bears3WSommaire du match
727Lowell Devils1Hershey Bears3WSommaire du match
1557Hershey Bears3Binghamton Senators4LXSommaire du match
1761Hershey Bears2Binghamton Senators4LSommaire du match
1965Binghamton Senators3Hershey Bears9WSommaire du match
2169Binghamton Senators2Hershey Bears3WSommaire du match
2373Hershey Bears1Binghamton Senators0WSommaire du match
2577Binghamton Senators3Hershey Bears8WSommaire du match
2985Hershey Bears6Chicago Wolves5WXSommaire du match
3187Hershey Bears6Chicago Wolves1WSommaire du match
3389Chicago Wolves3Hershey Bears4WSommaire du match
3591Chicago Wolves2Hershey Bears5WSommaire du match
4399Hershey Bears3Syracuse Crunch4LXSommaire du match
44100Hershey Bears4Syracuse Crunch3WXSommaire du match
45101Syracuse Crunch3Hershey Bears1LSommaire du match
46102Syracuse Crunch5Hershey Bears1LSommaire du match
47103Hershey Bears2Syracuse Crunch3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance17,9889,000
Assistance PCT99.93%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2999 - 99.96% 86,652$779,872$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,863,100$ 2,863,100$ 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 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