Connexion

Hershey Bears
GP: 33 | W: 13 | L: 18 | OTL: 2 | P: 28
GF: 86 | GA: 104 | PP%: 17.78% | PK%: 80.82%
DG: Jean Sebastien Lemelin | Morale : 99 | Moyenne d’équipe : 64
Prochains matchs #464 vs Chicago Wolves
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Centre de jeu
Providence Bruins
20-10-1, 41pts
3
FINAL
2 Hershey Bears
13-18-2, 28pts
Team Stats
L1SéquenceL4
9-5-0Fiche domicile6-10-1
11-5-1Fiche domicile7-8-1
6-3-1Derniers 10 matchs3-7-0
3.29Buts par match 2.61
2.81Buts contre par match 3.15
15.49%Pourcentage en avantage numérique17.78%
83.56%Pourcentage en désavantage numérique80.82%
San Jose Barracuda
15-15-2, 32pts
4
FINAL
1 Hershey Bears
13-18-2, 28pts
Team Stats
W1SéquenceL4
7-9-1Fiche domicile6-10-1
8-6-1Fiche domicile7-8-1
5-5-0Derniers 10 matchs3-7-0
3.41Buts par match 2.61
3.34Buts contre par match 3.15
20.24%Pourcentage en avantage numérique17.78%
74.42%Pourcentage en désavantage numérique80.82%
Chicago Wolves
15-15-3, 33pts
Jour 79
Hershey Bears
13-18-2, 28pts
Statistiques d’équipe
W1SéquenceL4
5-9-2Fiche domicile6-10-1
10-6-1Fiche visiteur7-8-1
7-2-110 derniers matchs3-7-0
3.03Buts par match 2.61
3.45Buts contre par match 2.61
24.42%Pourcentage en avantage numérique17.78%
74.29%Pourcentage en désavantage numérique80.82%
Hershey Bears
13-18-2, 28pts
Jour 80
Lehigh Valley Phantoms
13-13-4, 30pts
Statistiques d’équipe
L4SéquenceL1
6-10-1Fiche domicile6-6-1
7-8-1Fiche visiteur7-7-3
3-7-010 derniers matchs4-5-1
2.61Buts par match 2.87
3.15Buts contre par match 2.87
17.78%Pourcentage en avantage numérique22.22%
80.82%Pourcentage en désavantage numérique82.35%
Hershey Bears
13-18-2, 28pts
Jour 83
San Diego Gulls
18-12-2, 38pts
Statistiques d’équipe
L4SéquenceW1
6-10-1Fiche domicile11-4-1
7-8-1Fiche visiteur7-8-1
3-7-010 derniers matchs8-2-0
2.61Buts par match 3.41
3.15Buts contre par match 3.41
17.78%Pourcentage en avantage numérique16.22%
80.82%Pourcentage en désavantage numérique81.58%
Meneurs d'équipe
Buts
Mike Santorelli
14
Passes
Sergei Tolchinsky
23
Points
Sergei Tolchinsky
32
Plus/Moins
Troy Terry
5
Victoires
Thatcher Demko
9
Pourcentage d’arrêts
Joel Hofer
0.932

Statistiques d’équipe
Buts pour
86
2.61 GFG
Tirs pour
1209
36.64 Avg
Pourcentage en avantage numérique
17.8%
16 GF
Début de zone offensive
38.6%
Buts contre
104
3.15 GAA
Tirs contre
1326
40.18 Avg
Pourcentage en désavantage numérique
80.8%%
14 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralJean Sebastien Lemelin
EntraîneurKevin Constantine
DivisionEastern
ConférenceConference 1
CapitaineAlexander Edler
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance10,000
Billets de saison4,000


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 75
Espoirs0


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
1Troy TerryXX99.0067327587747477728667676465619349996802711,000,000$
2Mike SantorelliX100.004726918674787672547473536291921999680382500,001$
3Chase De LeoX100.006835758373818368886568646875704799670292725,000$
4Sergei TolchinskyX99.005318888871848569476670566871762999660292600,000$
5Stelio MattheosXX100.005929838177707764835964667070715899650251660,000$
6Noah GregorX100.006027867975737765866265636864665499640262600,000$
7Jim O'BrienXX100.006328938577808045864148766599991799630361500,001$
8Mackenzie EntwistleX99.005726807676677155455258746368746699620252550,000$
9Michal Teply (R)XX99.006330787778697167496467596854556299620213600,000$
10Pavel GogolevX99.005621838074677158475260656859636099610242510,000$
11Brett LeasonX100.005723877780707554545255716359596599610251600,000$
12Oliver OkuliarX100.005524847875677158505257656563565799600242510,000$
13Zack LeslieX98.007641778674848463546463676474733599680301975,000$
14Simon JohanssonX98.006128848776778261545765676859685799660251550,000$
15Casey FitzgeraldX99.005419888774808259545555676072964999660271775,000$
16Brett LernoutX99.007140847781828342643841735562654699640292620,000$
17Gage AusmusX100.006735798482828535563435645068793499630291510,000$
18Robbie BaillargeonXXX100.004916918874858457865352626061603499630292635,000$
19Andrew PeekeX100.006125878584778154485242675046476399630261500,001$
Rayé
MOYENNE D’ÉQUIPE99.42602884837676795963565865636772479964
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
1Thatcher Demko99.00828583819296968686747060625799690282500,001$
2Mikko Koskinen100.00758175778783826565666577823699630372500,001$
3Joel Hofer100.0072777274706565707072706164649958N0243500,001$
Rayé
MOYENNE D’ÉQUIPE99.6776817777838181747471686669529963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Constantine80849784999976USA654250,000$


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
1Sergei TolchinskyHershey Bears (WSH)LW3392332-740414414254876.34%2770721.43291121920114550044.74%383410000.9001000122
2Mike SantorelliHershey Bears (WSH)RW31141428-16003131118388111.86%2159519.202571577000070234.88%434218010.9413000321
3Chase De LeoHershey Bears (WSH)C33111122-12100595397425511.34%2067320.4134714860002362253.92%6382415000.6502000122
4Robbie BaillargeonHershey Bears (WSH)C/RW/D3311920-500314311846749.32%1964919.67000270002102154.18%3712520000.6200000040
5Troy TerryHershey Bears (WSH)C/RW1671219520162759214111.86%935822.4321311421012352146.18%249913001.0613000012
6Michal TeplyHershey Bears (WSH)LW/RW337916-10140524211832655.93%1358817.831239620002290140.54%372214000.5401000030
7Noah GregorHershey Bears (WSH)C3331215-260264012238792.46%1551015.480001150002120056.72%335146000.5900000001
8Stelio MattheosHershey Bears (WSH)C/RW285914-88020259836545.10%1945516.281233420001203050.16%3152013000.6100000202
9Simon JohanssonHershey Bears (WSH)D1521012-116023233816165.26%4542128.11134941000134100%0614000.5700000011
10Pavel GogolevHershey Bears (WSH)LW312911-76017136014363.33%2046915.1400000000150035.29%17107000.4700000000
11Casey FitzgeraldHershey Bears (WSH)D27246-30072426997.69%1943416.08000224000111010%0619000.2800000000
12Mackenzie EntwistleHershey Bears (WSH)LW33145-210029303712412.70%1042012.7401108000050035.90%78811000.2400000000
13Zack LeslieHershey Bears (WSH)D12044-128015213112130%2231326.12011333000119000%0613000.2601000000
14Jim O'BrienHershey Bears (WSH)C/RW2721302012241771411.76%112599.6200011000000057.14%63412000.2300000000
15Gage AusmusHershey Bears (WSH)D33022-1380173215970%3044313.430000000004000%0010000.0900000000
16Brett LernoutHershey Bears (WSH)D30022-118035372916170%4364921.65000029000222000%0425000.0600000000
17Brett LeasonHershey Bears (WSH)RW16112-4201421191595.26%1126516.60101129000000022.22%936000.1500000000
18Oliver OkuliarHershey Bears (WSH)LW61010003180312.50%0427.0700000000020027.27%1110000.4700000000
19Andrew PeekeHershey Bears (WSH)D27000-121559106380%1830211.200000000000000%011100000000000
Statistiques d’équipe totales ou en moyenne49778136214-120119545754111584207096.74%372856017.23132841925981122131510851.27%2204239237010.5021100071511
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
1Thatcher DemkoHershey Bears (WSH)2091010.9272.9711922059805339000.7147200601
2Joel HoferHershey Bears (WSH)63300.9322.503600015220134010066300
3Mikko KoskinenHershey Bears (WSH)81510.9103.6344600273001393002727100
Statistiques d’équipe totales ou en moyenne34131820.9243.03199920101132561231933331001


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 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
Andrew PeekeHershey Bears (WSH)D261988-10-11No226 Lbs6 ft9NoNoTrade2024-10-08NoNo1Pro & Farm500,001$298,430$0$0$No------------------
Brett LeasonHershey Bears (WSH)RW251989-10-04No218 Lbs6 ft5NoNoTrade2024-10-08NoNo1Farm Only600,000$358,115$0$0$No------------------
Brett LernoutHershey Bears (WSH)D291985-10-05No224 Lbs6 ft4NoNoN/ANoNo2Pro & Farm620,000$370,052$0$0$No620,000$--------No--------
Casey FitzgeraldHershey Bears (WSH)D271987-09-04No200 Lbs5 ft11NoNoFree AgentNoNo12024-08-23Pro & Farm775,000$462,565$0$0$No------------------
Chase De LeoHershey Bears (WSH)C291985-10-20No204 Lbs5 ft9NoNoN/ANoNo2Pro & Farm725,000$432,723$0$0$No725,000$--------No--------
Gage AusmusHershey Bears (WSH)D291985-10-14No232 Lbs6 ft3NoNoN/ANoNo1Pro & Farm510,000$304,398$0$0$No------------------
Jim O'BrienHershey Bears (WSH)C/RW361978-08-06No212 Lbs6 ft2NoNoTrade2024-10-08NoNo1Pro & Farm500,001$298,430$0$0$No------------------
Joel HoferHershey Bears (WSH)G241990-09-01No179 Lbs6 ft5YesNoFree AgentNoNo32024-10-22Pro & Farm500,001$298,430$0$0$No500,001$500,001$-------YesYes-------
Mackenzie EntwistleHershey Bears (WSH)LW251989-08-31No199 Lbs6 ft3NoNoN/ANoNo2Pro & Farm550,000$328,272$0$0$No550,000$--------No--------
Michal TeplyHershey Bears (WSH)LW/RW211993-09-18Yes197 Lbs6 ft7NoNoFree AgentNoNo32024-08-23Pro & Farm600,000$358,115$0$0$No600,000$600,000$-------NoNo-------
Mike SantorelliHershey Bears (WSH)RW381976-08-06No193 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,001$298,430$0$0$No500,001$--------No--------
Mikko KoskinenHershey Bears (WSH)G371977-08-07No171 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,001$298,430$0$0$No500,001$--------No--------
Noah GregorHershey Bears (WSH)C261988-09-04No202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm600,000$358,115$0$0$No600,000$--------No--------
Oliver OkuliarHershey Bears (WSH)LW241990-08-31No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm510,000$304,398$0$0$No510,000$--------No--------
Pavel GogolevHershey Bears (WSH)LW241990-08-31No189 Lbs6 ft1NoNoN/ANoNo2Pro & Farm510,000$304,398$0$0$No510,000$--------No--------
Robbie BaillargeonHershey Bears (WSH)C/RW/D291985-11-26No193 Lbs6 ft0NoNoN/ANoNo2Pro & Farm635,000$379,005$0$0$No635,000$--------No--------
Sergei TolchinskyHershey Bears (WSH)LW291985-10-06No194 Lbs5 ft9NoNoN/ANoNo2Pro & Farm600,000$358,115$0$0$No600,000$--------No--------
Simon JohanssonHershey Bears (WSH)D251989-10-04No203 Lbs6 ft3NoNoN/ANoNo1Pro & Farm550,000$328,272$0$0$No------------------
Stelio MattheosHershey Bears (WSH)C/RW251989-10-04No213 Lbs6 ft1NoNoTrade2024-10-08NoNo1Farm Only660,000$393,927$0$0$No------------------
Thatcher DemkoHershey Bears (WSH)G281986-10-05No217 Lbs6 ft4NoNoN/ANoNo2Pro & Farm500,001$298,430$0$0$No500,001$--------No--------
Troy TerryHershey Bears (WSH)C/RW271987-10-08No191 Lbs6 ft1NoNoFree AgentNoNo12024-08-23Pro & Farm1,000,000$596,859$0$0$No------------------
Zack LeslieHershey Bears (WSH)D301984-10-05No194 Lbs6 ft1NoNoTrade2024-10-08NoNo1Farm Only975,000$581,937$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.86203 Lbs6 ft21.68610,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergei TolchinskyTroy TerryChase De Leo30122
2Michal TeplyMackenzie EntwistleMike Santorelli30122
3Mackenzie EntwistleStelio MattheosSergei Tolchinsky20122
4Pavel GogolevNoah GregorRobbie Baillargeon20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zack LeslieSimon Johansson40122
2Casey FitzgeraldBrett Lernout30122
3Gage AusmusAndrew Peeke20122
4Zack LeslieSimon Johansson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergei TolchinskyTroy TerryMackenzie Entwistle60122
2Michal TeplyChase De LeoMike Santorelli40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zack LeslieSimon Johansson60122
2Casey FitzgeraldBrett Lernout40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Troy TerrySergei Tolchinsky60122
2Chase De LeoMichal Teply40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zack LeslieSimon Johansson60122
2Casey FitzgeraldBrett Lernout40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Troy Terry60122Zack LeslieSimon Johansson60122
2Chase De Leo40122Casey FitzgeraldBrett Lernout40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Troy TerrySergei Tolchinsky60122
2Chase De LeoMichal Teply40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zack LeslieSimon Johansson60122
2Casey FitzgeraldBrett Lernout40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sergei TolchinskyTroy TerryMackenzie EntwistleZack LeslieSimon Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sergei TolchinskyTroy TerryMackenzie EntwistleZack LeslieSimon Johansson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Stelio Mattheos, Noah Gregor, Robbie BaillargeonStelio Mattheos, Noah GregorStelio Mattheos
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Lernout, Gage Ausmus, Andrew PeekeBrett LernoutBrett Lernout, Gage Ausmus
Tirs de pénalité
Troy Terry, Mike Santorelli, Chase De Leo, Sergei Tolchinsky, Stelio Mattheos
Gardien
#1 : Thatcher Demko, #2 : Mikko Koskinen, #3 : Joel Hofer
Lignes d’attaque personnalisées en prolongation
Troy Terry, Mike Santorelli, Chase De Leo, Sergei Tolchinsky, Stelio Mattheos, Noah Gregor, Noah Gregor, Robbie Baillargeon, Jim O'Brien, Michal Teply, Mackenzie Entwistle
Lignes de défense personnalisées en prolongation
Zack Leslie, Simon Johansson, Casey Fitzgerald, Brett Lernout, Gage Ausmus


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's Canucks2020000049-51010000024-21010000025-300.0004610001834287784024263612984272339111.11%10100.00%043886650.58%44089948.94%26448154.89%659365739305605301
2Bakersfield Condors1000000156-11000000156-10000000000010.5005712001834287464024263612950192314000%6350.00%143886650.58%44089948.94%26448154.89%659365739305605301
3Belleville Senators1010000023-1000000000001010000023-100.00024600183428740402426361293411611200.00%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
4Bridgeport's Islanders1010000034-11010000034-10000000000000.0003470018342873640242636129431412162150.00%6183.33%043886650.58%44089948.94%26448154.89%659365739305605301
5Calgary Wranglers21001000954100010003211100000063341.000916250018342877340242636129882482710330.00%4175.00%043886650.58%44089948.94%26448154.89%659365739305605301
6Charlotte Checkers10001000211100010002110000000000021.00024600183428724402426361293714611100.00%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
7Chicago Wolves1010000012-1000000000001010000012-100.0001230018342872640242636129305414000%2150.00%043886650.58%44089948.94%26448154.89%659365739305605301
8Colorado Eagles1010000034-1000000000001010000034-100.000369001834287384024263612940194154125.00%2150.00%043886650.58%44089948.94%26448154.89%659365739305605301
9Grand Rapids Griffins1010000013-21010000013-20000000000000.00011200183428738402426361294713223300.00%10100.00%043886650.58%44089948.94%26448154.89%659365739305605301
10Hartford Wolfpack1010000048-4000000000001010000048-400.00047110018342873640242636129329421200.00%20100.00%043886650.58%44089948.94%26448154.89%659365739305605301
11Henderson Silver Knights11000000523110000005230000000000021.0005914001834287354024263612933969400.00%3166.67%043886650.58%44089948.94%26448154.89%659365739305605301
12Iowa Wild2020000037-41010000013-21010000024-200.000358101834287724024263612975234255120.00%20100.00%043886650.58%44089948.94%26448154.89%659365739305605301
13Laval Rocket201010005501010000034-11000100021120.5005813001834287724024263612985244327228.57%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
14Lehigh Valley Phantoms1010000014-31010000014-30000000000000.000123001834287514024263612950171023100.00%5260.00%043886650.58%44089948.94%26448154.89%659365739305605301
15Manitoba Moose2010000136-31010000013-21000000123-110.250369001834287574024263612983288269111.11%40100.00%043886650.58%44089948.94%26448154.89%659365739305605301
16Ontario Reign10001000211000000000001000100021121.00023500183428732402426361294412018300.00%000%043886650.58%44089948.94%26448154.89%659365739305605301
17Providence Bruins2020000036-31010000023-11010000013-200.000369001834287684024263612969246263133.33%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
18Rochester Americans11000000312000000000001100000031221.00035800183428744402426361292911620100.00%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
19San Jose Barracuda211000007701010000014-31100000063320.50071017001834287864024263612982218265120.00%4250.00%043886650.58%44089948.94%26448154.89%659365739305605301
20Springfield Thunderbirds1010000017-6000000000001010000017-600.000123001834287394024263612945206153133.33%30100.00%043886650.58%44089948.94%26448154.89%659365739305605301
21Syracuse Crunch11000000422110000004220000000000021.000461000183428734402426361294664123266.67%2150.00%043886650.58%44089948.94%26448154.89%659365739305605301
22Texas Stars10000010431000000000001000001043121.00044800183428740402426361294817814100.00%4175.00%043886650.58%44089948.94%26448154.89%659365739305605301
23Toronto Marlies10001000321100010003210000000000021.00036900183428746402426361293711215500.00%10100.00%043886650.58%44089948.94%26448154.89%659365739305605301
24Utica Comets11000000321110000003210000000000021.00035800183428730402426361294510422100.00%20100.00%043886650.58%44089948.94%26448154.89%659365739305605301
25Wilkes-Barre/Scranton Penguins211000005411010000023-11100000031220.5005914001834287684024263612970296266116.67%40100.00%043886650.58%44089948.94%26448154.89%659365739305605301
Total337180501286104-1817310030014252-101648020114452-8280.424861432291018342871209402426361291326417153494901617.78%731480.82%143886650.58%44089948.94%26448154.89%659365739305605301
_Since Last GM Reset337180501286104-1817310030014252-101648020114452-8280.424861432291018342871209402426361291326417153494901617.78%731480.82%143886650.58%44089948.94%26448154.89%659365739305605301
_Vs Conference337180501286104-1817310030014252-101648020114452-8280.424861432291018342871209402426361291326417153494901617.78%731480.82%143886650.58%44089948.94%26448154.89%659365739305605301
_Vs Division1739030014047-71025020002428-4714010011619-3130.3824069109001834287613402426361296541987627237718.92%40587.50%043886650.58%44089948.94%26448154.89%659365739305605301

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3328L4861432291209132641715349410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
33718501286104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1731030014252
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
164820114452
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
901617.78%731480.82%1
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
402426361291834287
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
43886650.58%44089948.94%26448154.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
659365739305605301


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
12Utica Comets2Hershey Bears3BWSommaire du match
427Charlotte Checkers1Hershey Bears2BWXSommaire du match
638Hershey Bears3Colorado Eagles4ALSommaire du match
954Hershey Bears2Manitoba Moose3ALXXSommaire du match
1380Hershey Bears6San Jose Barracuda3AWSommaire du match
1699Lehigh Valley Phantoms4Hershey Bears1BLSommaire du match
18111Hershey Bears4Hartford Wolfpack8ALSommaire du match
19117Henderson Silver Knights2Hershey Bears5BWSommaire du match
21126Laval Rocket4Hershey Bears3BLSommaire du match
23136Hershey Bears4Texas Stars3AWXXSommaire du match
24141Toronto Marlies2Hershey Bears3BWXSommaire du match
26154Abbotsford's Canucks4Hershey Bears2BLSommaire du match
28171Bakersfield Condors6Hershey Bears5BLXXSommaire du match
29174Wilkes-Barre/Scranton Penguins3Hershey Bears2BLSommaire du match
31183Hershey Bears2Ontario Reign1AWXSommaire du match
34201Hershey Bears1Springfield Thunderbirds7ALSommaire du match
36211Hershey Bears6Calgary Wranglers3AWSommaire du match
37218Hershey Bears2Laval Rocket1AWXSommaire du match
39231Grand Rapids Griffins3Hershey Bears1BLSommaire du match
42247Hershey Bears2Belleville Senators3ALSommaire du match
45265Iowa Wild3Hershey Bears1BLSommaire du match
46270Bridgeport's Islanders4Hershey Bears3BLSommaire du match
48282Syracuse Crunch2Hershey Bears4BWSommaire du match
52307Hershey Bears2Iowa Wild4ALSommaire du match
53313Hershey Bears2Abbotsford's Canucks5ALSommaire du match
55321Hershey Bears1Providence Bruins3ALSommaire du match
57333Calgary Wranglers2Hershey Bears3BWXSommaire du match
60355Hershey Bears3Wilkes-Barre/Scranton Penguins1AWSommaire du match
63368Hershey Bears3Rochester Americans1AWSommaire du match
65384Hershey Bears1Chicago Wolves2ALSommaire du match
66390Manitoba Moose3Hershey Bears1BLSommaire du match
73428Providence Bruins3Hershey Bears2BLSommaire du match
77456San Jose Barracuda4Hershey Bears1BLSommaire du match
79464Chicago Wolves-Hershey Bears-
80470Hershey Bears-Lehigh Valley Phantoms-
83489Hershey Bears-San Diego Gulls -
85502Hershey Bears-Henderson Silver Knights-
88519Hershey Bears-Grand Rapids Griffins-
90528Hershey Bears-Rockford IceHogs-
93545Hershey Bears-Bridgeport's Islanders-
94554Hershey Bears-Utica Comets-
98575Hershey Bears-Syracuse Crunch-
100588Rochester Americans-Hershey Bears-
101594Ontario Reign-Hershey Bears-
105616Texas Stars-Hershey Bears-
108635Hartford Wolfpack-Hershey Bears-
109639Rockford IceHogs-Hershey Bears-
112653Hershey Bears-Charlotte Checkers-
116680Hershey Bears-Toronto Marlies-
119696Springfield Thunderbirds-Hershey Bears-
121705Hershey Bears-Bakersfield Condors-
124725San Diego Gulls -Hershey Bears-
127740Belleville Senators-Hershey Bears-
130756Colorado Eagles-Hershey Bears-
132768Hershey Bears-Wilkes-Barre/Scranton Penguins-
134777Laval Rocket-Hershey Bears-
136791Ontario Reign-Hershey Bears-
138805Rockford IceHogs-Hershey Bears-
141825Iowa Wild-Hershey Bears-
143837Hershey Bears-Colorado Eagles-
144841Hershey Bears-Providence Bruins-
146856Hershey Bears-Manitoba Moose-
148866Utica Comets-Hershey Bears-
150882Chicago Wolves-Hershey Bears-
152895Syracuse Crunch-Hershey Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154906Hershey Bears-Grand Rapids Griffins-
155911Hershey Bears-San Diego Gulls -
161951Hershey Bears-San Jose Barracuda-
163965Bakersfield Condors-Hershey Bears-
165978Calgary Wranglers-Hershey Bears-
167989Hershey Bears-Toronto Marlies-
1691004Hershey Bears-Rochester Americans-
1711016Hershey Bears-Texas Stars-
1731029Bridgeport's Islanders-Hershey Bears-
1761049Belleville Senators-Hershey Bears-
1781065Henderson Silver Knights-Hershey Bears-
1801075Hershey Bears-Hartford Wolfpack-
1821093Hershey Bears-Springfield Thunderbirds-
1851109Hershey Bears-Lehigh Valley Phantoms-
1861115Charlotte Checkers-Hershey Bears-
1881126Abbotsford's Canucks-Hershey Bears-
1901137Hershey Bears-Ontario Reign-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3010
Assistance85,00085,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 10000 - 100.00% 298,000$5,066,000$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,153,058$ 2,684,000$ 2,684,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,052,265$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,152,000$ 114 15,361$ 1,751,154$




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