Connexion

Hershey Bears
GP: 72 | W: 44 | L: 22 | OTL: 6 | P: 94
GF: 213 | GA: 175 | PP%: 31.93% | PK%: 74.40%
DG: Hans Blomgren | Morale : 68 | Moyenne d’équipe : 59
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Hershey Bears
44-22-6, 94pts
2
FINAL
3 Toronto Marlies
42-21-9, 93pts
Team Stats
L1SéquenceL1
22-11-3Fiche domicile21-12-3
22-11-3Fiche domicile21-9-6
2-6-2Derniers 10 matchs4-5-1
2.96Buts par match 2.81
2.43Buts contre par match 2.44
31.93%Pourcentage en avantage numérique22.10%
74.40%Pourcentage en désavantage numérique64.55%
Hershey Bears
44-22-6, 94pts
1
FINAL
2 Charlotte Checkers
34-33-5, 73pts
Team Stats
L1SéquenceW1
22-11-3Fiche domicile18-17-1
22-11-3Fiche domicile16-16-4
2-6-2Derniers 10 matchs6-3-1
2.96Buts par match 2.04
2.43Buts contre par match 2.38
31.93%Pourcentage en avantage numérique30.00%
74.40%Pourcentage en désavantage numérique68.38%
Meneurs d'équipe
Mackenzie MacEachernButs
Mackenzie MacEachern
30
Garrett PilonPasses
Garrett Pilon
46
Garrett PilonPoints
Garrett Pilon
61
Plus/Moins
Vincent Iorio
9
Victoires
Ryan Fanti
40
Matt MurrayPourcentage d’arrêts
Matt Murray
0.936

Statistiques d’équipe
Buts pour
213
2.96 GFG
Tirs pour
2590
35.97 Avg
Pourcentage en avantage numérique
31.9%
53 GF
Début de zone offensive
39.9%
Buts contre
175
2.43 GAA
Tirs contre
2046
28.42 Avg
Pourcentage en désavantage numérique
74.4%%
32 GA
Début de la zone défensive
33.8%
Informations de l'équipe

Directeur généralHans Blomgren
EntraîneurSpencer Carbery
DivisionAtlantic Division
ConférenceEastern Conference
CapitaineAdam Beckman
Assistant #1Egor Sokolov
Assistant #2Calle Rosen


Informations de l’aréna

Capacité3,000
Assistance2,567
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 60
Espoirs17


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
1Egor Sokolov (R) (A)0XX100.008182757185848963506277716049486476670231818,333$
2Mackenzie MacEachern0XX100.007872877172656569506667675961616374640291750,000$
3Joel L'Esperance0XX100.008078797179717463785966646147476278630281750,000$
4Samuel Walker (R)0XX100.007366886969676866506068626647476379610242940,500$
5Brett Leason0X100.006743927383597858345561652558595978610242775,000$
6Adam Beckman (R) (C)0X100.007163917166788361505267606548486276600222894,167$
7Joe Snively0X100.006140996860636360566271622549496381590272800,000$
8Garrett Pilon0X100.007062856963717462756259585547475878590251750,000$
9Hendrix Lapierre (R)0X100.007065777768677060745562595847475880590213863,333$
10Danila Klimovich (R)0X100.007775777078768154504659615647475777590203886,667$
11Brian Pinho0X100.007364926765606059765955595447485777570281775,000$
12Nathan Burke (R)0XXX100.007472766672504957715062625845455924570251900,000$
13Jacob Bernard-Docker (R)0X100.007777817875697958254548882549495684640231925,000$
14Calle Rosen (A)0X100.006141957069697166255763762563646277620292800,000$
15Vincent Iorio (R)0X100.008277926880737950254639653847475180610214814,167$
16Jacob MacDonald0X100.007755886773596763254846677563635577610302762,500$
17Lawrence Pilut0X100.006241996467606859255049752554545675590281750,000$
18Michael Vukojevic (R)0X100.008279846982596343253040613947474877570222850,833$
Rayé
1Riley Sutter (R)0X100.007676776376657048504446614444445420550241764,167$
2Lucas Johansen0X100.007466916966646946253740603844445219550262762,500$
3John Parker-Jones (R)0XXXX100.007787556687444444453142614044444920550231900,000$
MOYENNE D’ÉQUIPE100.00736685697365705847515765475050586760
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
1Ryan Fanti0100.00625556775763626259595551515277600242883,750$
2Zachary Fucale0100.00545164675455586158589545445678560281750,000$
Rayé
1Dylan Wells (R)0100.00484151724947505349493044444820490251900,000$
MOYENNE D’ÉQUIPE100.0055495772535557595555604746525855
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Spencer Carbery65715451995950CAN421500,000$


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
1David GustWashington CapitalsLW/RW552835631210670100642478012911.34%23102018.558132114940003513359.46%746415011.24274371041
2Garrett PilonHershey Bears (WSH)C721546616121951149819555887.69%21133518.5441418131160004891155.69%15644321100.9101667355
3Mackenzie MacEachernHershey Bears (WSH)LW/RW72303161-10162120113832438913412.35%26128117.791211232611600010756646.88%1286128000.95019105354
4Joel L'EsperanceHershey Bears (WSH)C/RW722024441184140131491755710411.43%26111115.438111917113000004058.93%563712010.791212610322
5Hendrix LapierreHershey Bears (WSH)C7217254221589011265165549110.30%35118516.4741216131170006822452.58%9323813000.7111657232
6Joe SnivelyHershey Bears (WSH)LW72181432024108556215601318.37%20103914.430112190000347054.17%246323000.6200101213
7Calle RosenHershey Bears (WSH)D7262632524207312914165684.26%110180325.05551091240005101110%04361000.3500112002
8Samuel WalkerHershey Bears (WSH)LW/RW72102232658409859195531215.13%1990812.61145116000074048.15%275019000.70310125323
9Sam GagnerWashington CapitalsC/RW2691827-3151533379934599.09%948918.83371011420111381140.19%413258001.1002201320
10Brian PinhoHershey Bears (WSH)C7251924021151076911042684.55%1896813.461011110001132055.48%5932016000.5001111021
11Brett LeasonHershey Bears (WSH)RW7214102432515805215250729.21%1991812.7500000000001045.16%313419000.5200210112
12Adam BeckmanHershey Bears (WSH)LW7291221422207647171571095.26%1583911.6600000000000041.67%243116000.5001103133
13Lawrence PilutHershey Bears (WSH)D72315182101043826126214.92%68130118.073368125000157100%0545000.2800011022
14Jacob Bernard-DockerHershey Bears (WSH)D68314174152120901179641353.13%82150522.152356114000177110%02854000.23009411012
15Danila KlimovichHershey Bears (WSH)C72104147107651015562184616.13%1781911.3800000000011243.01%3861114000.3411436143
16Vincent IorioHershey Bears (WSH)D7211213913912583857724221.30%66140219.4800001000006000100.00%11245000.19005713001
17Michael VukojevicHershey Bears (WSH)D72112136167125102845928251.69%49128217.810000100002000%01229000.200010510020
18Nathan BurkeHershey Bears (WSH)C/LW/RW1956114604036164081412.50%831116.401344320000120053.57%2863000.7100332021
19Egor SokolovHershey Bears (WSH)LW/RW17191001086031213812152.63%1128616.860224280000140050.00%22106000.7000147000
20Jacob MacDonaldHershey Bears (WSH)D72178-1342068856123251.64%34129618.011124120000186000%0636000.12410121000
21Lucas JohansenHershey Bears (WSH)D4000100524320%17418.580000000004000%00000000000000
Statistiques d’équipe totales ou en moyenne1269206361567581697121516811355260687913797.90%6772118016.695390143133120601133812351951.96%4303599483120.5412377964100324137
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
1Ryan FantiHershey Bears (WSH)64401940.9202.2637990214317881028430.781326481042
2Matt MurrayWashington Capitals3121640.9361.8019022457897466110.85735310516
3Zachary FucaleHershey Bears (WSH)114320.8982.735720026255155001.0004864000
Statistiques d’équipe totales ou en moyenne1066528100.9232.16627426226294016495471103721558


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 Plafond 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
Adam BeckmanHershey Bears (WSH)LW222001-12-31Yes168 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------No--------Lien / Lien NHL
Brett LeasonHershey Bears (WSH)RW241999-12-31No210 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Brian PinhoHershey Bears (WSH)C281995-12-31No172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No------------------Lien / Lien NHL
Calle RosenHershey Bears (WSH)D291994-12-31No186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Danila KlimovichHershey Bears (WSH)C202003-12-31Yes202 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------NoNo-------Lien / Lien NHL
Dylan WellsHershey Bears (WSH)G251998-12-31Yes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien / Lien NHL
Egor SokolovHershey Bears (WSH)LW/RW232000-12-31Yes215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm818,333$0$0$No------------------Lien / Lien NHL
Garrett PilonHershey Bears (WSH)C251998-12-31No174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Hendrix LapierreHershey Bears (WSH)C212002-12-31Yes179 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------
Jacob Bernard-DockerHershey Bears (WSH)D232000-12-31Yes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Jacob MacDonaldHershey Bears (WSH)D301993-12-31No204 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Joe SnivelyHershey Bears (WSH)LW271996-12-31No165 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Joel L'EsperanceHershey Bears (WSH)C/RW281995-12-31No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
John Parker-JonesHershey Bears (WSH)C/LW/RW/D232000-12-31Yes229 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Lawrence PilutHershey Bears (WSH)D281995-12-31No180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Lucas JohansenHershey Bears (WSH)D261997-12-31 10:59:01No176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Mackenzie MacEachernHershey Bears (WSH)LW/RW291994-12-31No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Michael VukojevicHershey Bears (WSH)D222001-12-31Yes212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm850,833$0$0$No850,833$--------No--------Lien / Lien NHL
Nathan BurkeHershey Bears (WSH)C/LW/RW251998-12-31Yes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------Lien
Riley SutterHershey Bears (WSH)RW241999-12-31Yes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm764,167$0$0$No------------------Lien / Lien NHL
Ryan FantiHershey Bears (WSH)G241999-12-31 17:57:17No201 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm883,750$0$0$No883,750$--------No--------
Samuel WalkerHershey Bears (WSH)LW/RW241999-12-31Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm940,500$0$0$No940,500$--------No--------Lien
Vincent IorioHershey Bears (WSH)D212002-12-31Yes200 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm814,167$0$0$No814,167$814,167$814,167$------NoNoNo------
Zachary FucaleHershey Bears (WSH)G281995-12-31 14:22:07No178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.96192 Lbs6 ft21.67823,580$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor SokolovGarrett PilonMackenzie MacEachern30014
2Joel L'EsperanceHendrix LapierreBrett Leason27014
3Joe SnivelyBrian PinhoNathan Burke23032
4Adam BeckmanDanila KlimovichSamuel Walker20032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerMichael Vukojevic35122
2Calle RosenVincent Iorio32122
3Jacob MacDonaldLawrence Pilut23122
4Calle RosenVincent Iorio10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernGarrett PilonNathan Burke50122
2Joel L'EsperanceHendrix LapierreEgor Sokolov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob Bernard-DockerCalle Rosen50122
2Jacob MacDonaldLawrence Pilut50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Garrett PilonNathan Burke50122
2Hendrix LapierreEgor Sokolov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenJacob Bernard-Docker50122
2Jacob MacDonaldLawrence Pilut50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mackenzie MacEachern50122Calle RosenJacob Bernard-Docker50122
2Egor Sokolov50122Jacob MacDonaldLawrence Pilut50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Garrett PilonNathan Burke50122
2Hendrix LapierreEgor Sokolov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calle RosenJacob Bernard-Docker50122
2Jacob MacDonaldLawrence Pilut50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernGarrett PilonEgor SokolovCalle RosenJacob Bernard-Docker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernGarrett PilonEgor SokolovJacob MacDonaldJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Burke, Egor Sokolov, Joel L'EsperanceNathan Burke, Egor SokolovMackenzie MacEachern
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Iorio, Calle Rosen, Jacob MacDonaldCalle RosenCalle Rosen, Vincent Iorio
Tirs de pénalité
Jacob MacDonald, Samuel Walker, Egor Sokolov, Nathan Burke, Mackenzie MacEachern
Gardien
#1 : Ryan Fanti, #2 : Zachary Fucale


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
1Abbotsford Canucks2020000047-31010000024-21010000023-100.000471100408874167982490584254622173505120.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
2Bakersfield Condors20002000532100010002111000100032141.000581300408874167482490584254561345506233.33%50100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
3Belleville Senators20100001610-41010000025-31000000145-110.2506101600408874166082490584254651858364125.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
4Bridgeport Islanders32000001761210000014401100000032150.83371219004088741610882490584254723672817228.57%60100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
5Calgary Wranglers2020000036-31010000024-21010000012-100.0003690040887416988249058425461197854500.00%4250.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
6Charlotte Checkers421000101073320000109541010000012-160.75010152500408874161228249058425493385910914321.43%7271.43%0845155454.38%692131952.46%562102454.88%156586113836871428701
7Chicago Wolves21000100660110000005411000010012-130.750691500408874168682490584254611943432150.00%40100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
8Cleveland Monsters320000101046100000103212200000072561.000101525004088741697824905842548121306412433.33%5180.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
9Coachella Valley Firebirds21100000431110000002021010000023-120.5004610014088741662824905842544315138665240.00%40100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
10Colorado Eagles220000001138110000007251100000041341.00011193000408874166582490584254411267665120.00%10100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
11Grand Rapids Griffins31101000651110000003122010100034-140.66761117004088741612482490584254742054737228.57%20100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
12Hartford Wolf Pack320000101257110000004132100001084461.000121830004088741611682490584254682628958225.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
13Henderson Silver Knights2020000026-41010000013-21010000013-200.0002460040887416628249058425466323431100.00%2150.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
14Iowa Wild22000000853110000003211100000053241.0008132100408874168282490584254571524444250.00%2150.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
15Laval Rocket211000007521010000034-11100000041320.5007132000408874166782490584254701553435360.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
16Lehigh Valley Phantoms30300000712-51010000014-32020000068-200.00071219004088741610682490584254106456165200.00%8450.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
17Manitoba Moose21000010532110000002111000001032141.000571200408874167282490584254541846634250.00%30100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
18Milwaukee Admirals22000000743110000003121100000043141.000712190040887416718249058425459285847200.00%4250.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
19Ontario Reign21000010523110000003121000001021141.00056110040887416848249058425450223344200.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
20Providence Bruins330000001165110000002112200000095461.000112132004088741692824905842547527957912650.00%5180.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
21Rochester Americans2020000047-31010000024-21010000023-100.000471110408874166982490584254751326452150.00%30100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
22Rockford IceHogs2020000048-41010000013-21010000035-200.000471110408874168182490584254633368364125.00%4175.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
23San Diego Gulls22000000725110000003031100000042241.000712190140887416628249058425469178841600.00%40100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
24San Jose Barracuda22000000954110000005321100000042241.0009152400408874166182490584254721956339555.56%3166.67%0845155454.38%692131952.46%562102454.88%156586113836871428701
25Springfield Thunderbirds321000001073220000009451010000013-240.667101727104088741610382490584254741970839444.44%5260.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
26Syracuse Crunch211000008621010000034-11100000052320.5008152300408874166982490584254491569643266.67%2150.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
27Texas Stars20000020532100000103211000001021141.0005611004088741691824905842544112344722100.00%20100.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
28Toronto Marlies2010010046-21010000023-11000010023-110.250481200408874167382490584254582255463133.33%5260.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
29Tucson Roadrunners210010001073100010005411100000053241.00010152500408874168382490584254623426467114.29%3233.33%0845155454.38%692131952.46%562102454.88%156586113836871428701
30Utica Comets211000005501010000034-11100000021120.50058130040887416678249058425476237540400.00%5260.00%0845155454.38%692131952.46%562102454.88%156586113836871428701
31Wilkes-Barre Scranton Penguins31000101111102000010179-21100000042240.667111728004088741610482490584254932249795240.00%7271.43%0845155454.38%692131952.46%562102454.88%156586113836871428701
Total7233220437321317538361711021321069016361611022411078522940.65321335156432408874162590824905842542046689176517631665331.93%1253274.40%0845155454.38%692131952.46%562102454.88%156586113836871428701
_Since Last GM Reset7233220437321317538361711021321069016361611022411078522940.65321335156432408874162590824905842542046689176517631665331.93%1253274.40%0845155454.38%692131952.46%562102454.88%156586113836871428701
_Vs Conference39171400233116104122078001225658-21910600111604614450.57711619531120408874161332824905842541117361873979953233.68%742171.62%0845155454.38%692131952.46%562102454.88%156586113836871428701
_Vs Division2012500122565241071001122627-110540001030255310.77556100156104088741667682490584254559168469495501938.00%32875.00%0845155454.38%692131952.46%562102454.88%156586113836871428701

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7294L1213351564259020466891765176332
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7233224373213175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361711213210690
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
361611224110785
Derniers 10 matchs
WLOTWOTL SOWSOL
260200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1665331.93%1253274.40%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
8249058425440887416
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
845155454.38%692131952.46%562102454.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156586113836871428701


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
216Charlotte Checkers2Hershey Bears3WSommaire du match
430Hershey Bears4Hartford Wolf Pack3WXXSommaire du match
541Hershey Bears6Providence Bruins3WSommaire du match
754Hershey Bears2Grand Rapids Griffins1WXSommaire du match
864Springfield Thunderbirds1Hershey Bears5WSommaire du match
1188Bridgeport Islanders3Hershey Bears2LXXSommaire du match
13107Bakersfield Condors1Hershey Bears2WXSommaire du match
14111Hershey Bears3Lehigh Valley Phantoms4LSommaire du match
19142Charlotte Checkers1Hershey Bears3WSommaire du match
20157Hershey Bears2Cleveland Monsters1WSommaire du match
23176Milwaukee Admirals1Hershey Bears3WSommaire du match
25194Charlotte Checkers2Hershey Bears3WXXSommaire du match
27207Hershey Bears4San Jose Barracuda2WSommaire du match
29221Hershey Bears4Milwaukee Admirals3WSommaire du match
31236San Diego Gulls0Hershey Bears3WSommaire du match
32252Hershey Bears4San Diego Gulls2WSommaire du match
35268Hershey Bears3Manitoba Moose2WXXSommaire du match
36280Providence Bruins1Hershey Bears2WSommaire du match
38298Hershey Bears2Texas Stars1WXXSommaire du match
40312Ontario Reign1Hershey Bears3WSommaire du match
42331Abbotsford Canucks4Hershey Bears2LSommaire du match
46359Rockford IceHogs3Hershey Bears1LSommaire du match
48380Hershey Bears3Providence Bruins2WSommaire du match
49389Bridgeport Islanders1Hershey Bears2WSommaire du match
51404Hershey Bears5Iowa Wild3WSommaire du match
53421Hershey Bears2Utica Comets1WSommaire du match
54431Manitoba Moose1Hershey Bears2WSommaire du match
56449Toronto Marlies3Hershey Bears2LSommaire du match
59469Hershey Bears4Belleville Senators5LXXSommaire du match
61482Laval Rocket4Hershey Bears3LSommaire du match
64508Hershey Bears5Tucson Roadrunners3WSommaire du match
66517San Jose Barracuda3Hershey Bears5WSommaire du match
68538Hershey Bears2Ontario Reign1WXXSommaire du match
69547Iowa Wild2Hershey Bears3WSommaire du match
71565Hershey Bears4Laval Rocket1WSommaire du match
74580Hershey Bears4Wilkes-Barre Scranton Penguins2WSommaire du match
75592Grand Rapids Griffins1Hershey Bears3WSommaire du match
77610Wilkes-Barre Scranton Penguins4Hershey Bears3LXXSommaire du match
80630Hershey Bears2Rochester Americans3LSommaire du match
81644Hartford Wolf Pack1Hershey Bears4WSommaire du match
83659Hershey Bears1Grand Rapids Griffins3LSommaire du match
84675Wilkes-Barre Scranton Penguins5Hershey Bears4LXSommaire du match
86692Hershey Bears5Syracuse Crunch2WSommaire du match
88707Lehigh Valley Phantoms4Hershey Bears1LSommaire du match
90725Hershey Bears5Cleveland Monsters1WSommaire du match
92739Belleville Senators5Hershey Bears2LSommaire du match
94754Hershey Bears3Lehigh Valley Phantoms4LSommaire du match
96772Calgary Wranglers4Hershey Bears2LSommaire du match
98792Hershey Bears1Springfield Thunderbirds3LSommaire du match
99803Hershey Bears4Colorado Eagles1WSommaire du match
101817Cleveland Monsters2Hershey Bears3WXXSommaire du match
103837Texas Stars2Hershey Bears3WXXSommaire du match
105852Hershey Bears3Bakersfield Condors2WXSommaire du match
107866Hershey Bears3Bridgeport Islanders2WSommaire du match
108878Rochester Americans4Hershey Bears2LSommaire du match
112901Springfield Thunderbirds3Hershey Bears4WSommaire du match
114923Hershey Bears1Calgary Wranglers2LSommaire du match
115934Hershey Bears3Rockford IceHogs5LSommaire du match
116943Coachella Valley Firebirds0Hershey Bears2WSommaire du match
119965Tucson Roadrunners4Hershey Bears5WXSommaire du match
120976Hershey Bears1Henderson Silver Knights3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122991Hershey Bears4Hartford Wolf Pack1WSommaire du match
1241008Syracuse Crunch4Hershey Bears3LSommaire du match
1261026Hershey Bears1Chicago Wolves2LXSommaire du match
1281041Colorado Eagles2Hershey Bears7WSommaire du match
1301056Hershey Bears2Abbotsford Canucks3LSommaire du match
1321070Utica Comets4Hershey Bears3LSommaire du match
1341089Hershey Bears2Coachella Valley Firebirds3LSommaire du match
1361102Henderson Silver Knights3Hershey Bears1LSommaire du match
1391125Chicago Wolves4Hershey Bears5WSommaire du match
1401127Hershey Bears2Toronto Marlies3LXSommaire du match
1421145Hershey Bears1Charlotte Checkers2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance57,47534,954
Assistance PCT79.83%97.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2567 - 85.58% 99,245$3,572,830$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,752,537$ 2,713,092$ 2,713,092$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,252,568$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,159$ 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