Hershey Bears

GP: 82 | W: 50 | L: 23 | OTL: 9 | P: 109
GF: 278 | GA: 176 | PP%: 17.67% | PK%: 84.53%
DG: Mathieu Girard | Morale : 69 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 BlidhXX100.0055506575735268665055575550505018100
2Anthony CamaraX100.0074706563705460525052506250505016900
3Beau BennettX100.0083508782737766775063626550767218100
4Brian GibbonsX100.0058606970607067597454586155525318100
5Jason DickinsonX100.0065507569695968605050695850505018000
6Brett SutterX100.0074735964737268617655626559505018000
7Paul ThompsonXX100.0086507462705266505062556350505018100
8Rich CluneXX100.0054725762726163515050506050595916300
9Kyle CliffordXX100.0093506175985667655058585650717418200
10Anthony DeAngeloX100.0055506989647377732564676475707018100
11Klas DahlbeckX100.0094506973816977542550566050707018100
12Jon MerrillX100.0074508783848366652560558450767017000
13Trevor MurphyX100.0053625765626870552555515650505018100
14Kyle Wood (R)X100.0095818768847379602560536850707018100
Rayé
MOYENNE D'ÉQUIPE100.007258707174666961455657635360601780
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 Saros100.008378716488819777858531716912500
2Vitek Vanecek (R)100.006478847466706770707096686716400
Rayé
MOYENNE D'ÉQUIPE100.00747878697776827478786470681450
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)LW82536111453351558297417327212.71%54189823.15191938119424325163894457.29%96700041.20370031286
2Kyle CliffordHershey Bears (Was)C/LW82424991461295247192331375812.69%33172921.101019298639301162937156.94%159300011.05170009911
3Brett SutterHershey Bears (Was)C824050903414515225178300224713.33%53147017.931329429435321352036163.53%159600011.2222021637
4Anton BlidhHershey Bears (Was)C/LW822545703723535129235213810.64%22144817.66921306735013451885254.69%19200010.9700010246
5Brian GibbonsHershey Bears (Was)C822642683124039107248153010.48%18129015.7418213997358000004266.21%14500001.0501000343
6Kyle WoodHershey Bears (Was)D8274956232164025481818108.64%68120214.663101327130000094400.00%000000.9300313232
7Paul ThompsonHershey Bears (Was)C/LW8230154531115237175295236110.17%53136016.600001140001687053.33%9000010.6600010565
8Jon MerrillHershey Bears (Was)D174111561403338340011.76%2440623.904262690000184100.00%000000.7400000212
9Tanner GlassWashington CapitalsLW/RW27961565955827490018.37%649918.50336171150002832155.17%11600000.6012100110
10Anthony DeAngeloHershey Bears (Was)D82410148340545148478.33%297128.69000313000049100.00%100000.3901000101
11Simon DespresWashington CapitalsD16771412951232500014.00%830318.964483769011068100.00%000010.9200100111
12Jason DickinsonHershey Bears (Was)C18538514082652009.62%031017.270005250002141050.68%22100000.5100000111
13Klas DahlbeckHershey Bears (Was)D82224014013771128.57%31021.251013150000400100.00%100000.7800000001
14Trevor MurphyHershey Bears (Was)D82022320350110.00%10750.9200004000043000.00%100000.5300000000
15Anthony CamaraHershey Bears (Was)LW1000000110000.00%01212.28000030000100100.00%100000.0000000000
16Rich CluneHershey Bears (Was)C/LW1000000010010.00%01212.48000020000200100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne9002543526062568499512771347214716432611.83%3811283514.268412821258223646814381591431158.94%492500090.94720557454146
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)81492290.9172.07476661016419790800.79224811862
2Juuse SarosHershey Bears (Was)11000.9091.0060001110000.000010000
Stats d'équipe Total ou en Moyenne82502290.9172.05482661016519900800.79224821862


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$
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
1623.94193 Lbs6 ft02.63425,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Beau BennettKyle CliffordJason Dickinson40122
2Anton BlidhBrett SutterBrian Gibbons30122
3Paul ThompsonJason DickinsonBeau Bennett20122
4Rich CluneBrian GibbonsKyle Clifford10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon MerrillAnthony DeAngelo40122
2Kyle WoodKlas Dahlbeck30122
3Trevor MurphyJon Merrill20122
4Anthony DeAngeloKyle Wood10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Beau BennettKyle CliffordJason Dickinson60122
2Anton BlidhBrett SutterBrian Gibbons40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon MerrillAnthony DeAngelo60122
2Kyle WoodKlas Dahlbeck40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Beau BennettKyle Clifford60122
2Brett SutterJason Dickinson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon MerrillAnthony DeAngelo60122
2Kyle WoodKlas Dahlbeck40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Beau Bennett60122Jon MerrillAnthony DeAngelo60122
2Kyle Clifford40122Kyle WoodKlas Dahlbeck40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Beau BennettKyle Clifford60122
2Brett SutterJason Dickinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jon MerrillAnthony DeAngelo60122
2Kyle WoodKlas Dahlbeck40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beau BennettKyle CliffordJason DickinsonJon MerrillAnthony DeAngelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Beau BennettKyle CliffordJason DickinsonJon MerrillAnthony DeAngelo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Camara, Paul Thompson, Rich CluneAnthony Camara, Paul ThompsonRich Clune
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor Murphy, Klas Dahlbeck, Jon MerrillTrevor MurphyKlas Dahlbeck, Jon Merrill
Tirs de Pénalité
Beau Bennett, Kyle Clifford, Brett Sutter, Jason Dickinson, Anton Blidh
Gardien
#1 : Juuse Saros, #2 : Vitek Vanecek


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 Heat20200000713-61010000045-11010000038-500.0007111800108917395982880283849842033529222.22%14657.14%01425253856.15%1282250451.20%636118253.81%223416731832545909462
2Adirondack Phantoms4210010078-12110000045-12100010033050.625711180110891739748288028384912822789426311.54%30390.00%11425253856.15%1282250451.20%636118253.81%223416731832545909462
3Albany Devils31100010752110000002022010001055040.6677815011089173976828802838497616305624625.00%15380.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
4Binghampton Senateurs33000000144102200000012391100000021161.000142337001089173987828802838497316265613323.08%12375.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
5Bridgeport Sound Tigers3120000067-1211000005501010000012-120.33361016001089173985828802838495615165725312.00%6183.33%01425253856.15%1282250451.20%636118253.81%223416731832545909462
6Charlotte Checkers2200000014113110000007071100000071641.000142337011089173997828802838495115274312433.33%90100.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
7Chicago Wolves210001003211000010001-11100000031230.75036900108917393182880283849361631251915.26%120100.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
8Connecticut Whale320000101156110000003122100001084461.000111728001089173913382880283849712636941119.09%17288.24%21425253856.15%1282250451.20%636118253.81%223416731832545909462
9Grand Rapids Griffins22000000523110000002021100000032141.000581301108917396982880283849442218391417.14%9277.78%11425253856.15%1282250451.20%636118253.81%223416731832545909462
10Hamilton Bulldogs2010010069-31010000035-21000010034-110.25061016001089173937828802838495219202523417.39%10280.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
11Houston Aeros210000101028100000103211100000070741.0001015250110891739678288028384944102144200.00%40100.00%11425253856.15%1282250451.20%636118253.81%223416731832545909462
12Lake Erie Monsters330000002332011000000707220000001631361.000233861011089173914182880283849802034759222.22%16193.75%01425253856.15%1282250451.20%636118253.81%223416731832545909462
13Manchester Monarchs33000000186121100000072522000000114761.0001830480010891739129828802838497717345014535.71%14285.71%01425253856.15%1282250451.20%636118253.81%223416731832545909462
14Milwaukee Admirals2020000047-31010000023-11010000024-200.0004610001089173953828802838494813272714214.29%11281.82%01425253856.15%1282250451.20%636118253.81%223416731832545909462
15Norfolk Admirals320000011477210000018531100000062450.8331423370010891739131828802838496720416318527.78%9277.78%11425253856.15%1282250451.20%636118253.81%223416731832545909462
16Oklahoma City Barons5410000017710211000008443300000093680.80017294601108917391588288028384989298410431825.81%25292.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
17Peoria Rivermen21100000761110000004221010000034-120.50071017001089173959828802838495821254014428.57%12466.67%01425253856.15%1282250451.20%636118253.81%223416731832545909462
18Portland Pirates431000001697211000007432200000095460.7501625410110891739129828802838499023626928725.00%24483.33%01425253856.15%1282250451.20%636118253.81%223416731832545909462
19Providence Bruins53101000171074210100011921100000061580.80017335000108917391118288028384912136957937616.22%37489.19%01425253856.15%1282250451.20%636118253.81%223416731832545909462
20Rochester Americans2010010046-21010000034-11000010012-110.2504610001089173939828802838495415203013215.38%10370.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
21Rockford IceHogs2010010026-41010000014-31000010012-110.2502350010891739348288028384959122431500.00%10280.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
22San Antonio Rampage22000000817110000003031100000051441.000813210110891739828288028384939820329222.22%90100.00%11425253856.15%1282250451.20%636118253.81%223416731832545909462
23Springfield Falcons3030000039-61010000012-12020000027-500.00033600108917396382880283849892152692514.00%25484.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
24St-John Ice Caps330000001073110000003212200000075261.0001014240010891739102828802838498116358017635.29%14192.86%01425253856.15%1282250451.20%636118253.81%223416731832545909462
25Syracuse Crunch30101010981100010004312010001055040.6679132200108917397782880283849832167502314.35%21385.71%01425253856.15%1282250451.20%636118253.81%223416731832545909462
26Texas Stars2020000017-61010000016-51010000001-100.00011200108917393182880283849741638501000.00%19573.68%01425253856.15%1282250451.20%636118253.81%223416731832545909462
27Toronto Marlies330000002121911000000808220000001321161.0002133540110891739172828802838496720226614321.43%10190.00%01425253856.15%1282250451.20%636118253.81%223416731832545909462
Total824423026432781761024121130221213287454123100043114689571090.665278446724010108917392493828802838492069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462
29Wilkes-Barre Penguins31000101880210001005411000000134-140.66781422001089173983828802838498424247418527.78%6183.33%01425253856.15%1282250451.20%636118253.81%223416731832545909462
30Worchester Sharks4120000169-33110000146-21010000023-130.3756101600108917398482880283849942781832114.76%23482.61%11425253856.15%1282250451.20%636118253.81%223416731832545909462
_Since Last GM Reset824423026432781761024121130221213287454123100043114689571090.665278446724010108917392493828802838492069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462
_Vs Conference472512022331461024425146021027651252211600131705119650.691146234380031089173913648288028384911903006779743005317.67%2533785.38%51425253856.15%1282250451.20%636118253.81%223416731832545909462
_Vs Division21610111256431310400110127171011210001129263190.45256861420310891739611828802838495551392634871412316.31%1081487.04%31425253856.15%1282250451.20%636118253.81%223416731832545909462

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82109W32784467242493206955611211657010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8244232643278176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412113221213287
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412310043114689
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4988817.67%4336784.53%8
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
8288028384910891739
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
1425253856.15%1282250451.20%636118253.81%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
223416731832545909462


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 Bears5Portland Pirates3WSommaire du Match
132 - 2018-02-09983Houston Aeros2Hershey Bears3WXXSommaire du Match
133 - 2018-02-10996Hershey Bears9Lake Erie Monsters1WSommaire du Match
137 - 2018-02-141009Worchester Sharks3Hershey Bears2LXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161024Hershey Bears6Providence Bruins1WSommaire du Match
141 - 2018-02-181039Binghampton Senateurs1Hershey Bears5WSommaire du Match
143 - 2018-02-201058Hershey Bears4Oklahoma City Barons2WSommaire du Match
144 - 2018-02-211066Hershey Bears3Wilkes-Barre Penguins4LXXSommaire du Match
145 - 2018-02-221074St-John Ice Caps2Hershey Bears3WSommaire du Match
147 - 2018-02-241095Norfolk Admirals2Hershey Bears1LXXSommaire du Match
149 - 2018-02-261108Hershey Bears7Charlotte Checkers1WSommaire du Match
152 - 2018-03-011129Binghampton Senateurs2Hershey Bears7WSommaire du Match
154 - 2018-03-031142Hershey Bears3St-John Ice Caps2WSommaire du Match
155 - 2018-03-041155Hershey Bears2Milwaukee Admirals4LSommaire du Match
157 - 2018-03-061165Rochester Americans4Hershey Bears3LSommaire du Match
161 - 2018-03-101186Toronto Marlies0Hershey Bears8WSommaire du Match
164 - 2018-03-131205Hershey Bears4St-John Ice Caps3WSommaire du Match
167 - 2018-03-161224Providence Bruins1Hershey Bears4WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
175,697$ 68,000$ 58,440$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 75,688$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 994$ 0$




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
1282442302643278176102412113022121328745412310004311468957109278446724010108917392493828802838492069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462
Total Saison Régulière82442302643278176102412113022121328745412310004311468957109278446724010108917392493828802838492069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462