HERSEY Bears

GP: 56 | W: 41 | L: 11 | OTL: 4 | P: 86
GF: 262 | GA: 107 | PP%: 19.65% | PK%: 84.81%
DG: Olivier Savoie | Morale : 99 | Moyenne d'Équipe : 63
Prochain matchs #742 vs Syracruse Crunch
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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
1Chandler Stephenson0X100.006235776575797764736463726456526391670
2Nick Paul0X100.006635686892576068556464576552516091640
3Lukas Sedlak0X100.007235716475736063736263666356524791640
4Anders Bjork (R)0X100.005335756672676065655858586152515591610
5Alexandre Fortin (R)0X100.005535736371596263575858575951504490600
6Kevin Roy (R)0X100.005035736163565161505454525451506091560
7Matt Grzelcyk (R)0X100.006344666664837966307170716855526191680
8Mike Reilly0X100.006535786576827064306261706856526091660
9Tim Heed (R)0X100.006035756868756868306860656953514891650
10Sami Niku (R)0X100.005535746573656565305653606351504991600
11Sebastian D Aho0X100.005089647064505070305146515651505692550
Rayé
MOYENNE D'ÉQUIPE100.00594172667268646548615962635351559162
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
1Michael Hutchinson100.00767488837574767574757058675388670
2Anders Lindback100.00737380907578767575717160673990670
Rayé
MOYENNE D'ÉQUIPE100.0075748487757676757573715967468967
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels66656565727270CAN5261,000,000$


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
1Chandler StephensonHERSEY Bears (WSH)C564855103641006017944712331010.74%24150126.8051015291400006689266.08%192800061.3702000955
2Lukas SedlakHERSEY Bears (WSH)C563846845130015311637510827510.13%24142825.50268351362022608162.21%104800021.1812000847
3Matt GrzelcykHERSEY Bears (WSH)D563153844640074822506515112.40%54144125.7581119671430001465129.17%2400011.1700000362
4Anders BjorkHERSEY Bears (WSH)LW56403676412029572928823113.70%9135624.23077231340002405156.10%8200031.1211000534
5Tim HeedHERSEY Bears (WSH)D5610637352180826916753905.99%69118921.23371060150011259100.00%000001.2300000332
6Nick PaulHERSEY Bears (WSH)LW56214667501409374303802126.93%10132723.70235231240000513261.97%63100001.0112000253
7Sami NikuHERSEY Bears (WSH)D5612486058220866213025779.23%52103918.56145432000032044.23%5200001.1500000026
8Alexandre FortinHERSEY Bears (WSH)LW5619315052403444198601139.60%14130523.32325261280000213057.94%10700010.7700000042
9Mike ReillyHERSEY Bears (WSH)D5615324723160493315326929.80%3395617.08971679142000157100.00%000000.9800000212
10Kevin RoyHERSEY Bears (WSH)LW5617244140602036174501229.77%8124922.3103316131000182054.55%8800000.6600000110
11Sebastian D AhoHERSEY Bears (WSH)D5610223227215304096247410.42%1591716.381237550220191048.90%18200000.7000100002
Stats d'équipe Total ou en Moyenne61626145671750418357107922585702174710.10%3121371122.2634629636913192351543740762.58%4142000131.0537100333435
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
1Michael HutchinsonHERSEY Bears (WSH)56411140.9131.85336601310411900400.5717560225
2Anders LindbackHERSEY Bears (WSH)10000.8674.2928002150000.0000056000
Stats d'équipe Total ou en Moyenne57411140.9121.87339401310612050400.57175656225


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 Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandre FortinHERSEY Bears (WSH)LW221997-02-25Yes84 Kg183 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Anders BjorkHERSEY Bears (WSH)LW231996-08-05Yes86 Kg183 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Anders LindbackHERSEY Bears (WSH)G311988-05-03No98 Kg198 CMNoNoNo1Pro & Farm650,000$204,954$650,000$204,954$0$0$NoLien
Chandler StephensonHERSEY Bears (WSH)C251994-04-22No92 Kg183 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Kevin RoyHERSEY Bears (WSH)LW261993-05-20Yes77 Kg175 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Lukas SedlakHERSEY Bears (WSH)C261993-02-25No93 Kg183 CMNoNoNo1Pro & Farm900,000$283,783$900,000$283,783$0$0$NoLien
Matt GrzelcykHERSEY Bears (WSH)D251994-01-05Yes79 Kg175 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Michael HutchinsonHERSEY Bears (WSH)G291990-03-02No91 Kg191 CMNoNoNo5Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$750,000$750,000$750,000$Lien
Mike ReillyHERSEY Bears (WSH)D261993-07-13No89 Kg185 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Nick PaulHERSEY Bears (WSH)LW241995-03-20No105 Kg193 CMNoNoNo1Pro & Farm750,000$236,486$750,000$236,486$0$0$NoLien
Sami NikuHERSEY Bears (WSH)D221996-10-10Yes80 Kg185 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Sebastian D AhoHERSEY Bears (WSH)D231996-02-17No77 Kg178 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Tim HeedHERSEY Bears (WSH)D281991-01-27Yes82 Kg180 CMNoNoNo2Pro & Farm750,000$236,486$750,000$236,486$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1325.3887 Kg183 CM1.85753,846$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick PaulChandler StephensonAlexandre Fortin31122
2Anders BjorkLukas SedlakKevin Roy26122
3Alexandre FortinChandler StephensonLukas Sedlak23122
4Kevin RoyNick PaulAnders Bjork20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly31122
2Tim Heed26122
3Sami Niku23122
4Sebastian D AhoMatt Grzelcyk20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick PaulChandler StephensonAlexandre Fortin55122
2Anders BjorkLukas SedlakKevin Roy45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim Heed45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonLukas Sedlak55122
2Nick PaulAnders Bjork45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim Heed45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chandler Stephenson55122Matt GrzelcykMike Reilly55122
2Lukas Sedlak45122Tim Heed45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonLukas Sedlak55122
2Nick PaulAnders Bjork45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim Heed45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick PaulChandler StephensonAlexandre FortinMatt GrzelcykMike Reilly
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick PaulChandler StephensonAlexandre FortinMatt GrzelcykMike Reilly
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexandre Fortin, Kevin Roy, Nick PaulAlexandre Fortin, Kevin RoyNick Paul
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sami Niku, , Sebastian D AhoSami Niku, Sebastian D Aho
Tirs de Pénalité
Chandler Stephenson, Lukas Sedlak, Nick Paul, Anders Bjork, Alexandre Fortin
Gardien
#1 : Michael Hutchinson, #2 : Anders Lindback
Lignes d'Attaque Perso. en Prol.
Chandler Stephenson, Lukas Sedlak, Nick Paul, Anders Bjork, Alexandre Fortin, Kevin Roy, Kevin Roy, , , ,
Lignes de Défense Perso. en Prol.
Matt Grzelcyk, Mike Reilly, , Tim Heed, Sami Niku


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
1BELLEVILLE Senators2200000011011110000003031100000080841.000111829021257454111728538498694481218000.00%10100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
2BRIDGEPORT Sound Tigers42200000913-42110000046-22110000057-240.50091524001257454111048538498694411829206120420.00%10280.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
3BROOKLYN Wolfpack44000000432412200000019118220000002412381.00043751180212574541132385384986944255052000.00%000.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
4Binghampton Devils11000000312110000003120000000000021.000369001257454115685384986944222422200.00%20100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
5CHICAGO Wolves220000001129110000005231100000060641.00011182901125745411708538498694435106254375.00%2150.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
6COLORADO Eagles51200101813-53110010068-22010000125-340.4008132100125745411131853849869441243320623612.78%6183.33%01291197865.27%722131754.82%58987367.47%18351456953297607344
7CORNWALL Aces2200000022121110000001201211000000101941.000223961011257454111548538498694414582711100.00%30100.00%11291197865.27%722131754.82%58987367.47%18351456953297607344
8HOLLYWOOD Oscar1100000011291100000011290000000000021.00011223300125745411908538498694472012000.00%000.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
9IOWA Wild22000000918110000003031100000061541.000917260112574541178853849869444412122110550.00%50100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
10LAVAL Rockets310011001385110000005052000110088050.833132336011257454119585384986944931963112325.00%30100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
11LEHIGH VALLEY Phantoms11000000211000000000001100000021121.0002460012574541140853849869441642125120.00%10100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
12MILWAUKEE Admirals20001100440000000000002000110044030.750481200125745411768538498694462126297114.29%3166.67%01291197865.27%722131754.82%58987367.47%18351456953297607344
13MONT-LAURIER Sommet1010000013-21010000013-20000000000000.0001120012574541129853849869443511417300.00%2150.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
14Manitoba Moose211000006511010000023-11100000042220.50061117001257454118485384986944561810138112.50%5180.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
15Marlies de Toronto220000002112022000000211200000000000041.0002136570112574541116385384986944153223000.00%10100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
16PROVIDENCE Bruins31002000945200020006421100000030361.0009172601125745411126853849869448730125110220.00%60100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
17PV Sharapovas20200000410-61010000023-11010000027-500.0004610001257454113985384986944591514297342.86%6183.33%01291197865.27%722131754.82%58987367.47%18351456953297607344
18SAN DIEGO Gulls3300000012111110000004042200000081761.000122436021257454112388538498694482036100.00%000.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
19STOCKTON Flames1010000017-6000000000001010000017-600.000112001257454112185384986944345216600.00%110.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
20TUSCON Roadrunners4110200015123210010009542010100067-160.750152843001257454111338538498694410732194515746.67%6266.67%01291197865.27%722131754.82%58987367.47%18351456953297607344
Total563211083112621071552917604110140518927155042011225666860.76826246172301312574541126088538498694412053131837111733419.65%791284.81%21291197865.27%722131754.82%58987367.47%18351456953297607344
22UTICA Comets4110200078-12010100036-32100100042260.7507101700125745411120853849869441444024572214.55%11190.91%01291197865.27%722131754.82%58987367.47%18351456953297607344
23VICTORIAVILLE Tigres2200000015510110000008351100000072541.0001525400012574541166853849869445511425000.00%20100.00%11291197865.27%722131754.82%58987367.47%18351456953297607344
24WILKIES-BARRIE Penguins32000010253222100001013310110000001201261.000254469011257454112008538498694437126274125.00%30100.00%01291197865.27%722131754.82%58987367.47%18351456953297607344
_Since Last GM Reset563211083112621071552917604110140518927155042011225666860.76826246172301312574541126088538498694412053131837111733419.65%791284.81%21291197865.27%722131754.82%58987367.47%18351456953297607344
_Vs Conference361860830115268841810304100823349188304201703535560.778152267419081257454111579853849869448182151154721272217.32%48883.33%01291197865.27%722131754.82%58987367.47%18351456953297607344
_Vs Division149206000473314751040002816127410200019172301.07147861330212574541163185384986944335924918347817.02%20575.00%01291197865.27%722131754.82%58987367.47%18351456953297607344

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5686W626246172326081205313183711013
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5632118311262107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29176411014051
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
27155420112256
Derniers 10 Matchs
WLOTWOTL SOWSOL
820000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1733419.65%791284.81%2
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
85384986944125745411
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
1291197865.27%722131754.82%58987367.47%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
18351456953297607344


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
2 - 2020-01-1613UTICA Comets2HERSEY Bears3WXSommaire du Match
3 - 2020-01-1728LAVAL Rockets0HERSEY Bears5WSommaire du Match
4 - 2020-01-1843HERSEY Bears4SAN DIEGO Gulls1WSommaire du Match
5 - 2020-01-1955HERSEY Bears2MILWAUKEE Admirals3LXSommaire du Match
6 - 2020-01-2065BRIDGEPORT Sound Tigers1HERSEY Bears3WSommaire du Match
8 - 2020-01-2278HERSEY Bears2BRIDGEPORT Sound Tigers5LSommaire du Match
10 - 2020-01-2491BRIDGEPORT Sound Tigers5HERSEY Bears1LSommaire du Match
12 - 2020-01-26104HERSEY Bears2UTICA Comets1WSommaire du Match
14 - 2020-01-28117HERSEY Bears3BRIDGEPORT Sound Tigers2WSommaire du Match
17 - 2020-01-31130COLORADO Eagles2HERSEY Bears3WSommaire du Match
18 - 2020-02-01143Marlies de Toronto1HERSEY Bears9WSommaire du Match
20 - 2020-02-03158HERSEY Bears4SAN DIEGO Gulls0WSommaire du Match
21 - 2020-02-04161HERSEY Bears2COLORADO Eagles3LXXSommaire du Match
22 - 2020-02-05178COLORADO Eagles4HERSEY Bears2LSommaire du Match
23 - 2020-02-06189HERSEY Bears4LAVAL Rockets3WXSommaire du Match
25 - 2020-02-08202BROOKLYN Wolfpack1HERSEY Bears8WSommaire du Match
26 - 2020-02-09217HERSEY Bears12WILKIES-BARRIE Penguins0WSommaire du Match
27 - 2020-02-10229IOWA Wild0HERSEY Bears3WSommaire du Match
28 - 2020-02-11241HERSEY Bears1STOCKTON Flames7LSommaire du Match
29 - 2020-02-12253WILKIES-BARRIE Penguins1HERSEY Bears10WSommaire du Match
31 - 2020-02-14268BROOKLYN Wolfpack0HERSEY Bears11WSommaire du Match
33 - 2020-02-16287BELLEVILLE Senators0HERSEY Bears3WSommaire du Match
35 - 2020-02-18305HERSEY Bears13BROOKLYN Wolfpack0WSommaire du Match
36 - 2020-02-19314HERSEY Bears8BELLEVILLE Senators0WSommaire du Match
37 - 2020-02-20322MONT-LAURIER Sommet3HERSEY Bears1LSommaire du Match
38 - 2020-02-21340HERSEY Bears6CHICAGO Wolves0WSommaire du Match
39 - 2020-02-22350Manitoba Moose3HERSEY Bears2LSommaire du Match
41 - 2020-02-24368HOLLYWOOD Oscar2HERSEY Bears11WSommaire du Match
42 - 2020-02-25378HERSEY Bears2UTICA Comets1WXSommaire du Match
44 - 2020-02-27396Marlies de Toronto0HERSEY Bears12WSommaire du Match
45 - 2020-02-28407HERSEY Bears11BROOKLYN Wolfpack1WSommaire du Match
46 - 2020-02-29420HERSEY Bears2PV Sharapovas7LSommaire du Match
47 - 2020-03-01433PV Sharapovas3HERSEY Bears2LSommaire du Match
49 - 2020-03-03447HERSEY Bears0COLORADO Eagles2LSommaire du Match
50 - 2020-03-04460SAN DIEGO Gulls0HERSEY Bears4WSommaire du Match
52 - 2020-03-06473HERSEY Bears4LAVAL Rockets5LXSommaire du Match
53 - 2020-03-07486VICTORIAVILLE Tigres3HERSEY Bears8WSommaire du Match
54 - 2020-03-08500COLORADO Eagles2HERSEY Bears1LXSommaire du Match
55 - 2020-03-09512HERSEY Bears7VICTORIAVILLE Tigres2WSommaire du Match
57 - 2020-03-11524PROVIDENCE Bruins2HERSEY Bears3WXSommaire du Match
58 - 2020-03-12538HERSEY Bears6IOWA Wild1WSommaire du Match
59 - 2020-03-13549HERSEY Bears10CORNWALL Aces1WSommaire du Match
60 - 2020-03-14558CORNWALL Aces0HERSEY Bears12WSommaire du Match
61 - 2020-03-15574HERSEY Bears2LEHIGH VALLEY Phantoms1WSommaire du Match
62 - 2020-03-16585Binghampton Devils1HERSEY Bears3WSommaire du Match
63 - 2020-03-17599HERSEY Bears3PROVIDENCE Bruins0WSommaire du Match
65 - 2020-03-19610WILKIES-BARRIE Penguins2HERSEY Bears3WXXSommaire du Match
66 - 2020-03-20626PROVIDENCE Bruins2HERSEY Bears3WXSommaire du Match
67 - 2020-03-21639HERSEY Bears3TUSCON Roadrunners5LSommaire du Match
68 - 2020-03-22651UTICA Comets4HERSEY Bears0LSommaire du Match
70 - 2020-03-24665HERSEY Bears2MILWAUKEE Admirals1WXSommaire du Match
71 - 2020-03-25680CHICAGO Wolves2HERSEY Bears5WSommaire du Match
72 - 2020-03-26691HERSEY Bears3TUSCON Roadrunners2WXSommaire du Match
73 - 2020-03-27706TUSCON Roadrunners3HERSEY Bears4WXSommaire du Match
75 - 2020-03-29719HERSEY Bears4Manitoba Moose2WSommaire du Match
76 - 2020-03-30730TUSCON Roadrunners2HERSEY Bears5WSommaire du Match
77 - 2020-03-31742HERSEY Bears-Syracruse Crunch-
78 - 2020-04-01755LEHIGH VALLEY Phantoms-HERSEY Bears-
79 - 2020-04-02767HERSEY Bears-HOLLYWOOD Oscar-
80 - 2020-04-03782LAVAL Rockets-HERSEY Bears-
82 - 2020-04-05798HERSEY Bears-COLORADO Eagles-
83 - 2020-04-06808LAVAL Rockets-HERSEY Bears-
84 - 2020-04-07822HERSEY Bears-Syracruse Crunch-
85 - 2020-04-08834HERSEY Bears-Marlies de Toronto-
86 - 2020-04-09843MILWAUKEE Admirals-HERSEY Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11861STOCKTON Flames-HERSEY Bears-
89 - 2020-04-12867HERSEY Bears-MONT-LAURIER Sommet-
90 - 2020-04-13886UTICA Comets-HERSEY Bears-
92 - 2020-04-15904HERSEY Bears-PROVIDENCE Bruins-
93 - 2020-04-16913Syracruse Crunch-HERSEY Bears-
94 - 2020-04-17928HERSEY Bears-ROCKFORD IceHogs-
95 - 2020-04-18942SAN DIEGO Gulls-HERSEY Bears-
96 - 2020-04-19950HERSEY Bears-SAN DIEGO Gulls-
97 - 2020-04-20965ROCKFORD IceHogs-HERSEY Bears-
98 - 2020-04-21975HERSEY Bears-Marlies de Toronto-
99 - 2020-04-22980HERSEY Bears-ROCKFORD IceHogs-
101 - 2020-04-24999ROCKFORD IceHogs-HERSEY Bears-
102 - 2020-04-251010HERSEY Bears-Binghampton Devils-
104 - 2020-04-271024MILWAUKEE Admirals-HERSEY Bears-
106 - 2020-04-291036HERSEY Bears-LAVAL Rockets-
107 - 2020-04-301045HERSEY Bears-CHICAGO Wolves-
109 - 2020-05-021062CHICAGO Wolves-HERSEY 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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,481,686$ 980,000$ 980,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 806,011$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 35 17,838$ 624,330$




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
335632110831126210715529176041101405189271550420112256668626246172301312574541126088538498694412053131837111733419.65%791284.81%21291197865.27%722131754.82%58987367.47%18351456953297607344
Total Saison Régulière5632110831126210715529176041101405189271550420112256668626246172301312574541126088538498694412053131837111733419.65%791284.81%21291197865.27%722131754.82%58987367.47%18351456953297607344
Séries
3251400000612-62020000026-43120000046-226121800023194263433115037327816212.50%14378.57%06114143.26%6816441.46%246338.10%10772132376532
Total Séries51400000612-62020000026-43120000046-226121800023194263433115037327816212.50%14378.57%06114143.26%6816441.46%246338.10%10772132376532