Hershey Bears

GP: 64 | W: 37 | L: 21 | OTL: 6 | P: 80
GF: 199 | GA: 138 | PP%: 15.11% | PK%: 84.43%
DG: Mathieu Girard | Morale : 61 | Moyenne d'Équipe : N/A
Prochain matchs #971 vs Portland Pirates
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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 SP
1Anton BlidhXX100.0055506575735268665055575550505017400
2Anthony CamaraX100.0074706563705460525052506250505016400
3Beau BennettX100.0083508782737766775063626550767217900
4Brian GibbonsX100.0058606970607067597454586155525317700
5Jason DickinsonX100.0065507569695968605050695850505017400
6Brett SutterX100.0074735964737268617655626559505017400
7Paul ThompsonXX100.0086507462705266505062556350505017400
8Rich CluneXX100.0054725762726163515050506050595915700
9Kyle CliffordXX100.0093506175985667655058585650717417300
10Anthony DeAngeloX100.0055506989647377732564676475707017700
11Klas DahlbeckX100.0094506973816977542550566050707017700
12Jon MerrillX100.0074508783848366652560558450767016500
13Trevor MurphyX100.0053625765626870552555515650505017700
14Kyle Wood (R)X100.0095818768847379602560536850707018000
15Robert BortuzzoX100.0070508876896959632561637350787117700
Rayé
MOYENNE D'ÉQUIPE100.007258717275666861435758635361611730
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 SP
1Juuse Saros99.008378716488819777858531716911600
2Vitek Vanecek (R)100.006478847466706770707096686715700
Rayé
MOYENNE D'ÉQUIPE99.50747878697776827478786470681370
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy50847747837269CAN514100,000$


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'ÉquipePOS GP 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
1Beau BennettHershey Bears (Was)LW64354176322610432293040011.51%42148423.2014122696344325133203256.45%78300021.0223002854
2Brett SutterHershey Bears (Was)C642836642411551751352150013.02%36114617.911020307529111211565162.15%125500001.1211001416
3Kyle CliffordHershey Bears (Was)C/LW64263157299951681412380010.92%28134320.99513186631701132414156.43%124400010.8513000666
4Anton BlidhHershey Bears (Was)C/LW6419315027175291001760010.80%17113417.72714215528613441533151.27%15800000.8800010135
5Brian GibbonsHershey Bears (Was)C64173047222003085178009.55%13101415.8511162773295000002264.60%11300000.9300000123
6Kyle WoodHershey Bears (Was)D646384418176302065464009.38%5294814.83291122116000083400.00%000000.9300311231
7Paul ThompsonHershey Bears (Was)C/LW6423113438551791332160010.65%40105016.410001110001556057.97%6900010.6500010463
8Tanner GlassWashington CapitalsLW/RW27961565955827490018.37%649918.50336171150002832155.17%11600000.6012100110
9Simon DespresWashington CapitalsD16771412951232500014.00%830318.964483769011068100.00%000010.9200100111
10Jon MerrillHershey Bears (Was)D1649134803134340011.76%2338123.824262682000182100.00%000000.6800000212
11Anthony DeAngeloHershey Bears (Was)D641782260364426003.85%175378.3900027000034000.00%100000.3000000000
12Jason DickinsonHershey Bears (Was)C17538414082552009.62%028816.960005190002111051.89%21200000.5500000111
13Robert BortuzzoHershey Bears (Was)D641782500622924004.17%124817.520000000000000.00%000000.3300000000
14Trevor MurphyHershey Bears (Was)D64022220350000.00%8510.8100000000037000.00%100000.7700000000
15Klas DahlbeckHershey Bears (Was)D64011-280854000.00%1590.93000180000100100.00%100000.3400000000
Stats d'équipe Total ou en Moyenne780181260441174734701048107816300011.10%3031072413.7560931534761966581327133032858.01%395300050.8259534313032
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
1Vitek VanecekHershey Bears (Was)64372060.9162.0837444913015470700.8899640762
Stats d'équipe Total ou en Moyenne64372060.9162.0837444913015470700.8899640762


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anthony CamaraHershey Bears (Was)LW231993-09-04No192 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Anthony DeAngeloHershey Bears (Was)D211995-10-24No175 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Anton BlidhHershey Bears (Was)C/LW211995-03-14No201 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Beau BennettHershey Bears (Was)LW251991-11-27No195 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Brett SutterHershey Bears (Was)C291987-06-01No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Brian GibbonsHershey Bears (Was)C281988-02-05No170 Lbs5 ft8NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jason DickinsonHershey Bears (Was)C211995-07-03No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Jon MerrillHershey Bears (Was)D241992-02-03No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Juuse SarosHershey Bears (Was)G211995-04-18No180 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Klas DahlbeckHershey Bears (Was)D251991-07-05No207 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Kyle CliffordHershey Bears (Was)C/LW261991-01-12No211 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Kyle WoodHershey Bears (Was)D201996-05-03Yes210 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Paul ThompsonHershey Bears (Was)C/LW281988-11-30No198 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Rich CluneHershey Bears (Was)C/LW291987-04-25No207 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Robert BortuzzoHershey Bears (Was)D271989-03-18No215 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Trevor MurphyHershey Bears (Was)D211995-07-16No172 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Vitek VanecekHershey Bears (Was)G211996-01-08Yes180 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.12194 Lbs6 ft12.53429,412$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Beau BennettKyle Clifford40122
2Anton BlidhBrett SutterBrian Gibbons30122
3Paul Thompson20122
4Beau BennettBrian GibbonsKyle Clifford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Kyle Wood30122
3Anthony DeAngeloRobert Bortuzzo20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Beau BennettKyle Clifford60122
2Anton BlidhBrett SutterBrian Gibbons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Kyle Wood40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Beau BennettKyle Clifford60122
2Brett Sutter40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Kyle Wood40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Beau Bennett6012260122
2Kyle Clifford40122Kyle Wood40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Beau BennettKyle Clifford60122
2Brett Sutter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Kyle Wood40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beau BennettKyle Clifford
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beau BennettKyle Clifford
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Paul Thompson, Anton Blidh, Paul ThompsonAnton Blidh
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Klas Dahlbeck, Trevor Murphy, Anthony DeAngeloKlas DahlbeckTrevor Murphy, Anthony DeAngelo
Tirs de Pénalité
Beau Bennett, Kyle Clifford, , Brett Sutter,
Gardien
#1 : Vitek Vanecek, #2 :


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
LigueDomicileVisiteur
# 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 Heat20200000713-61010000045-11010000038-500.000711180079664975964360362521842033529222.22%14657.14%01121202755.30%1012196851.42%47690552.60%175313121412425709362
2Adirondack Phantoms4210010078-12110000045-12100010033050.62571118017966497746436036252112822789426311.54%30390.00%11121202755.30%1012196851.42%47690552.60%175313121412425709362
3Albany Devils31100010752110000002022010001055040.667781501796649776643603625217616305624625.00%15380.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
4Binghampton Senateurs11000000211000000000001100000021121.00023500796649727643603625212451017400.00%40100.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
5Bridgeport Sound Tigers3120000067-1211000005501010000012-120.3336101600796649785643603625215615165725312.00%6183.33%01121202755.30%1012196851.42%47690552.60%175313121412425709362
6Charlotte Checkers11000000707110000007070000000000021.00071118017966497426436036252129814156116.67%70100.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
7Chicago Wolves210001003211000010001-11100000031230.7503690079664973164360362521361631251915.26%120100.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
8Connecticut Whale320000101156110000003122100001084461.00011172800796649713364360362521712636941119.09%17288.24%21121202755.30%1012196851.42%47690552.60%175313121412425709362
9Grand Rapids Griffins22000000523110000002021100000032141.00058130179664976964360362521442218391417.14%9277.78%11121202755.30%1012196851.42%47690552.60%175313121412425709362
10Hamilton Bulldogs2010010069-31010000035-21000010034-110.2506101600796649737643603625215219202523417.39%10280.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
11Houston Aeros11000000707000000000001100000070721.000712190179664974364360362521215626200.00%30100.00%11121202755.30%1012196851.42%47690552.60%175313121412425709362
12Lake Erie Monsters2200000014212110000007071100000072541.000142337017966497936436036252152131852600.00%8187.50%01121202755.30%1012196851.42%47690552.60%175313121412425709362
13Manchester Monarchs33000000186121100000072522000000114761.000183048007966497129643603625217717345014535.71%14285.71%01121202755.30%1012196851.42%47690552.60%175313121412425709362
14Milwaukee Admirals1010000023-11010000023-10000000000000.0002350079664971564360362521285189600.00%9188.89%01121202755.30%1012196851.42%47690552.60%175313121412425709362
15Norfolk Admirals220000001358110000007341100000062441.000132134007966497106643603625214015334715533.33%8275.00%11121202755.30%1012196851.42%47690552.60%175313121412425709362
16Oklahoma City Barons431000001358211000008442200000051460.750132235017966497123643603625216623828227622.22%24291.67%01121202755.30%1012196851.42%47690552.60%175313121412425709362
17Peoria Rivermen21100000761110000004221010000034-120.5007101700796649759643603625215821254014428.57%12466.67%01121202755.30%1012196851.42%47690552.60%175313121412425709362
18Portland Pirates321000001165211000007431100000042240.66711193001796649796643603625216614544822522.73%20385.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
19Providence Bruins3110100078-13110100078-10000000000040.6677142100796649770643603625218121524521314.29%24387.50%01121202755.30%1012196851.42%47690552.60%175313121412425709362
20Rochester Americans1000010012-1000000000001000010012-110.500123007966497136436036252126710197114.29%5180.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
21Rockford IceHogs2010010026-41010000014-31000010012-110.250235007966497346436036252159122431500.00%10280.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
22San Antonio Rampage22000000817110000003031100000051441.00081321017966497826436036252139820329222.22%90100.00%11121202755.30%1012196851.42%47690552.60%175313121412425709362
23Springfield Falcons3030000039-61010000012-12020000027-500.0003360079664976364360362521892152692514.00%25484.00%01121202755.30%1012196851.42%47690552.60%175313121412425709362
24Syracuse Crunch30101010981100010004312010001055040.667913220079664977764360362521832167502314.35%21385.71%01121202755.30%1012196851.42%47690552.60%175313121412425709362
25Texas Stars2020000017-61010000016-51010000001-100.0001120079664973164360362521741638501000.00%19573.68%01121202755.30%1012196851.42%47690552.60%175313121412425709362
26Toronto Marlies220000001321100000000000220000001321141.000132033007966497108643603625214311143712325.00%7185.71%01121202755.30%1012196851.42%47690552.60%175313121412425709362
Total64322102630199138613216120220096702632169004301036835800.625199320519097966497188264360362521162543190512704176315.11%3665784.43%71121202755.30%1012196851.42%47690552.60%175313121412425709362
28Wilkes-Barre Penguins21000100541210001005410000000000030.7505101500796649757643603625215814124318422.22%6183.33%01121202755.30%1012196851.42%47690552.60%175313121412425709362
29Worchester Sharks3120000046-22110000023-11010000023-120.33346100079664975064360362521651860662015.00%18383.33%01121202755.30%1012196851.42%47690552.60%175313121412425709362
_Since Last GM Reset64322102630199138613216120220096702632169004301036835800.625199320519097966497188264360362521162543190512704176315.11%3665784.43%71121202755.30%1012196851.42%47690552.60%175313121412425709362
_Vs Conference3617120223010378251910602100544014177600130493811460.6391031652680379664971043643603625219142255347362483815.32%2083085.58%41121202755.30%1012196851.42%47690552.60%175313121412425709362
_Vs Division19410111046388102001100271710921000101921-2130.3424670116037966497530643603625215071222384281351914.07%1061486.79%31121202755.30%1012196851.42%47690552.60%175313121412425709362

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6480W419932051918821625431905127009
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6432212630199138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32161222009670
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32169043010368
Derniers 10 Matchs
WLOTWOTL SOWSOL
721000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4176315.11%3665784.43%7
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
643603625217966497
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
1121202755.30%1012196851.42%47690552.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
175313121412425709362


Derniers Match 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
4 - 2017-10-0416Providence Bruins3Hershey Bears4WXSommaire du Match
5 - 2017-10-0531Worchester Sharks2Hershey Bears0LSommaire du Match
7 - 2017-10-0744Hershey Bears6Manchester Monarchs2WSommaire du Match
10 - 2017-10-1063Oklahoma City Barons1Hershey Bears6WSommaire du Match
12 - 2017-10-1274Hershey Bears4Portland Pirates2WSommaire du Match
14 - 2017-10-1491Hershey Bears4Connecticut Whale3WXXSommaire du Match
15 - 2017-10-1593Hershey Bears1Oklahoma City Barons0WSommaire du Match
17 - 2017-10-17111Wilkes-Barre Penguins1Hershey Bears3WSommaire du Match
19 - 2017-10-19130Hershey Bears1Adirondack Phantoms0WSommaire du Match
21 - 2017-10-21142Providence Bruins4Hershey Bears1LSommaire du Match
22 - 2017-10-22150Hershey Bears4Oklahoma City Barons1WSommaire du Match
23 - 2017-10-23168Portland Pirates4Hershey Bears2LSommaire du Match
25 - 2017-10-25181Hershey Bears3Syracuse Crunch2WXXSommaire du Match
29 - 2017-10-29196Worchester Sharks1Hershey Bears2WSommaire du Match
31 - 2017-10-31219Hershey Bears1Springfield Falcons3LSommaire du Match
32 - 2017-11-01228Providence Bruins1Hershey Bears2WSommaire du Match
34 - 2017-11-03247Hershey Bears2Worchester Sharks3LSommaire du Match
35 - 2017-11-04252Hershey Bears6Norfolk Admirals2WSommaire du Match
36 - 2017-11-05264Adirondack Phantoms2Hershey Bears3WSommaire du Match
39 - 2017-11-08285Abbotsford Heat5Hershey Bears4LSommaire du Match
40 - 2017-11-09299Hershey Bears3Peoria Rivermen4LSommaire du Match
42 - 2017-11-11314Milwaukee Admirals3Hershey Bears2LSommaire du Match
44 - 2017-11-13329Hershey Bears7Houston Aeros0WSommaire du Match
45 - 2017-11-14348Lake Erie Monsters0Hershey Bears7WSommaire du Match
47 - 2017-11-16361Hershey Bears0Texas Stars1LSommaire du Match
49 - 2017-11-18374Hershey Bears2Syracuse Crunch3LSommaire du Match
50 - 2017-11-19385Texas Stars6Hershey Bears1LSommaire du Match
53 - 2017-11-22403Hershey Bears4Albany Devils3WXXSommaire du Match
54 - 2017-11-23414Bridgeport Sound Tigers2Hershey Bears1LSommaire du Match
57 - 2017-11-26435Hershey Bears5Manchester Monarchs2WSommaire du Match
58 - 2017-11-27445Charlotte Checkers0Hershey Bears7WSommaire du Match
60 - 2017-11-29459Hershey Bears3Hamilton Bulldogs4LXSommaire du Match
61 - 2017-11-30471Chicago Wolves1Hershey Bears0LXSommaire du Match
62 - 2017-12-01482Hershey Bears1Bridgeport Sound Tigers2LSommaire du Match
64 - 2017-12-03501Hershey Bears3Grand Rapids Griffins2WSommaire du Match
65 - 2017-12-04508Hamilton Bulldogs5Hershey Bears3LSommaire du Match
69 - 2017-12-08530Hershey Bears3Chicago Wolves1WSommaire du Match
70 - 2017-12-09536Bridgeport Sound Tigers3Hershey Bears4WSommaire du Match
74 - 2017-12-13560Hershey Bears3Abbotsford Heat8LSommaire du Match
75 - 2017-12-14569Peoria Rivermen2Hershey Bears4WSommaire du Match
77 - 2017-12-16591Grand Rapids Griffins0Hershey Bears2WSommaire du Match
81 - 2017-12-20606Hershey Bears5San Antonio Rampage1WSommaire du Match
83 - 2017-12-22621Hershey Bears2Adirondack Phantoms3LXSommaire du Match
86 - 2017-12-25627Wilkes-Barre Penguins3Hershey Bears2LXSommaire du Match
88 - 2017-12-27637Hershey Bears2Binghampton Senateurs1WSommaire du Match
89 - 2017-12-28654Rockford IceHogs4Hershey Bears1LSommaire du Match
91 - 2017-12-30673Hershey Bears1Springfield Falcons4LSommaire du Match
93 - 2018-01-01685Albany Devils0Hershey Bears2WSommaire du Match
95 - 2018-01-03705Hershey Bears1Rockford IceHogs2LXSommaire du Match
96 - 2018-01-04715Connecticut Whale1Hershey Bears3WSommaire du Match
100 - 2018-01-08729Hershey Bears1Rochester Americans2LXSommaire du Match
101 - 2018-01-09746San Antonio Rampage0Hershey Bears3WSommaire du Match
102 - 2018-01-10757Hershey Bears1Albany Devils2LSommaire du Match
105 - 2018-01-13776Oklahoma City Barons3Hershey Bears2LSommaire du Match
107 - 2018-01-15798Hershey Bears6Toronto Marlies1WSommaire du Match
108 - 2018-01-16806Springfield Falcons2Hershey Bears1LSommaire du Match
112 - 2018-01-20830Manchester Monarchs2Hershey Bears7WSommaire du Match
115 - 2018-01-23857Adirondack Phantoms3Hershey Bears1LSommaire du Match
118 - 2018-01-26876Hershey Bears4Connecticut Whale1WSommaire du Match
119 - 2018-01-27891Syracuse Crunch3Hershey Bears4WXSommaire du Match
121 - 2018-01-29906Hershey Bears7Lake Erie Monsters2WSommaire du Match
122 - 2018-01-30919Hershey Bears7Toronto Marlies1WSommaire du Match
123 - 2018-01-31923Norfolk Admirals3Hershey Bears7WSommaire du Match
125 - 2018-02-02948Portland Pirates0Hershey Bears5WSommaire du Match
131 - 2018-02-08971Hershey Bears-Portland Pirates-
132 - 2018-02-09983Houston Aeros-Hershey Bears-
133 - 2018-02-10996Hershey Bears-Lake Erie Monsters-
137 - 2018-02-141009Worchester Sharks-Hershey Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161024Hershey Bears-Providence Bruins-
141 - 2018-02-181039Binghampton Senateurs-Hershey Bears-
143 - 2018-02-201058Hershey Bears-Oklahoma City Barons-
144 - 2018-02-211066Hershey Bears-Wilkes-Barre Penguins-
145 - 2018-02-221074St-John Ice Caps-Hershey Bears-
147 - 2018-02-241095Norfolk Admirals-Hershey Bears-
149 - 2018-02-261108Hershey Bears-Charlotte Checkers-
152 - 2018-03-011129Binghampton Senateurs-Hershey Bears-
154 - 2018-03-031142Hershey Bears-St-John Ice Caps-
155 - 2018-03-041155Hershey Bears-Milwaukee Admirals-
157 - 2018-03-061165Rochester Americans-Hershey Bears-
161 - 2018-03-101186Toronto Marlies-Hershey Bears-
164 - 2018-03-131205Hershey Bears-St-John Ice Caps-
167 - 2018-03-161224Providence Bruins-Hershey Bears-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
133,559$ 73,000$ 63,440$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 58,414$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 42 1,024$ 43,008$




LigueDomicileVisiteur
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
126432210263019913861321612022009670263216900430103683580199320519097966497188264360362521162543190512704176315.11%3665784.43%71121202755.30%1012196851.42%47690552.60%175313121412425709362
Total Saison Régulière6432210263019913861321612022009670263216900430103683580199320519097966497188264360362521162543190512704176315.11%3665784.43%71121202755.30%1012196851.42%47690552.60%175313121412425709362