HERSEY Bears

GP: 7 | W: 4 | L: 2 | OTL: 1 | P: 9
GF: 20 | GA: 17 | PP%: 17.24% | PK%: 71.43%
DG: Olivier Savoie | Morale : 97 | Moyenne d'Équipe : 64
Prochain matchs #104 vs UTICA Comets
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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
1Ondrej Kase0XX100.006235827570846574607074607456574894690
2Chandler Stephenson0X100.006235776575797764736463726456526396670
3Nick Paul0X100.006635686892576068556464576552516094640
4Lukas Sedlak0X100.007235716475736063736263666356524796640
5Anders Bjork (R)0X100.005335756672676065655858586152515596610
6Alexandre Fortin (R)0X100.005535736371596263575858575951504495600
7Kevin Roy (R)0X100.005035736163565161505454525451506096560
8Matt Grzelcyk (R)0X100.006344666664837966307170716855526196680
9Mike Reilly0X100.006535786576827064306261706856526094660
10Tim Heed (R)0X100.006035756868756868306860656953514896650
11Sami Niku (R)0X100.005535746573656565305653606351504994600
12Sebastian D Aho0X100.005089647064505070305146515651505696550
Rayé
MOYENNE D'ÉQUIPE100.00594073667269646649626062645352549563
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 Hutchinson100.00767488837574767574757058675394670
2Anders Lindback100.00737380907578767575717160673994670
Rayé
MOYENNE D'ÉQUIPE100.0075748487757676757573715967469467
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)C7461022011385212267.69%219227.531237210000100056.88%26900001.0400000200
2Tim HeedHERSEY Bears (WSH)D71910540114144117.14%915121.6613472500008000.00%000001.3200000001
3Lukas SedlakHERSEY Bears (WSH)C7437-24021134083110.00%217925.70011623000072048.84%12900000.7800000011
4Nick PaulHERSEY Bears (WSH)LW715650058307213.33%217124.48101317000090060.78%10200000.7000000100
5Matt GrzelcykHERSEY Bears (WSH)D7246-280115253188.00%818125.9010192200006100.00%600000.6600000010
6Anders BjorkHERSEY Bears (WSH)LW7325-400452662611.54%017324.76011221000161050.00%1400000.5800000000
7Sami NikuHERSEY Bears (WSH)D7134100191491111.11%812618.1300014000000050.00%200000.6300000001
8Alexandre FortinHERSEY Bears (WSH)LW7213400581761611.76%116723.98101318000040044.44%900000.3600000010
9Kevin RoyHERSEY Bears (WSH)LW7213-140351561613.33%115622.30000320000010058.33%1200000.3800000000
10Mike ReillyHERSEY Bears (WSH)D7022-4007412370.00%512017.1600062100009000.00%000000.3300000000
11Sebastian D AhoHERSEY Bears (WSH)D7011-260388150.00%311015.7300019000020033.33%1800000.1800000000
Stats d'équipe Total ou en Moyenne772037572280100112248571788.06%41173122.485712482070001684054.01%56100000.6600000333
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)74210.9082.3942601171850100.000070012
Stats d'équipe Total ou en Moyenne74210.9082.3942601171850100.000070012


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$682,432$750,000$682,432$0$0$No750,000$Lien
Anders BjorkHERSEY Bears (WSH)LW231996-08-05Yes86 Kg183 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Anders LindbackHERSEY Bears (WSH)G311988-05-03No98 Kg198 CMNoNoNo1Pro & Farm650,000$591,441$650,000$591,441$0$0$NoLien
Chandler StephensonHERSEY Bears (WSH)C251994-04-22No92 Kg183 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Kevin RoyHERSEY Bears (WSH)LW261993-05-20Yes77 Kg175 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Lukas SedlakHERSEY Bears (WSH)C261993-02-25No93 Kg183 CMNoNoNo1Pro & Farm900,000$818,918$900,000$818,918$0$0$NoLien
Matt GrzelcykHERSEY Bears (WSH)D251994-01-05Yes79 Kg175 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Michael HutchinsonHERSEY Bears (WSH)G291990-03-02No91 Kg191 CMNoNoNo5Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$750,000$750,000$750,000$Lien
Mike ReillyHERSEY Bears (WSH)D261993-07-13No89 Kg185 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Nick PaulHERSEY Bears (WSH)LW241995-03-20No105 Kg193 CMNoNoNo1Pro & Farm750,000$682,432$750,000$682,432$0$0$NoLien
Ondrej KaseHERSEY Bears (WSH)C/RW231995-11-08No85 Kg180 CMNoNoNo5Pro & Farm2,100,000$1,910,810$2,100,000$1,910,810$0$0$No2,100,000$2,100,000$2,100,000$2,100,000$Lien
Sami NikuHERSEY Bears (WSH)D221996-10-10Yes80 Kg185 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Sebastian D AhoHERSEY Bears (WSH)D231996-02-17No77 Kg178 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Tim HeedHERSEY Bears (WSH)D281991-01-27Yes82 Kg180 CMNoNoNo2Pro & Farm750,000$682,432$750,000$682,432$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.2187 Kg183 CM2.07850,000$



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
1BRIDGEPORT Sound Tigers31200000611-52110000046-21010000025-320.33369150055917477848639120184515320.00%9277.78%015626658.65%9520546.34%539257.61%190144155458041
2LAVAL Rockets11000000505110000005050000000000021.000510150155913677848632484134125.00%20100.00%015626658.65%9520546.34%539257.61%190144155458041
3MILWAUKEE Admirals1000010023-1000000000001000010023-110.500246005591297784863303215300.00%110.00%015626658.65%9520546.34%539257.61%190144155458041
4SAN DIEGO Gulls11000000413000000000001100000041321.000481200559183778486351017000.00%000.00%015626658.65%9520546.34%539257.61%190144155458041
Total73201100201734210100012843110010089-190.6432037570155912507784863185412810029517.24%14471.43%015626658.65%9520546.34%539257.61%190144155458041
6UTICA Comets10001000321100010003210000000000021.0003690055912877848633594107114.29%2150.00%015626658.65%9520546.34%539257.61%190144155458041
_Since Last GM Reset73201100201734210100012843110010089-190.6432037570155912507784863185412810029517.24%14471.43%015626658.65%9520546.34%539257.61%190144155458041
_Vs Conference73201100201734210100012843110010089-190.6432037570155912507784863185412810029517.24%14471.43%015626658.65%9520546.34%539257.61%190144155458041
_Vs Division20001000734100010003211000000041320.50071421005591111778486340104277114.29%2150.00%015626658.65%9520546.34%539257.61%190144155458041

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
79L2203757250185412810001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73211002017
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4211000128
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
311010089
Derniers 10 Matchs
WLOTWOTL SOWSOL
420100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29517.24%14471.43%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
77848635591
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
15626658.65%9520546.34%539257.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
190144155458041


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 Bears-UTICA Comets-
14 - 2020-01-28117HERSEY Bears-BRIDGEPORT Sound Tigers-
17 - 2020-01-31130COLORADO Eagles-HERSEY Bears-
18 - 2020-02-01143Marlies de Toronto-HERSEY Bears-
20 - 2020-02-03158HERSEY Bears-SAN DIEGO Gulls-
21 - 2020-02-04161HERSEY Bears-COLORADO Eagles-
22 - 2020-02-05178COLORADO Eagles-HERSEY Bears-
23 - 2020-02-06189HERSEY Bears-LAVAL Rockets-
25 - 2020-02-08202BROOKLYN Wolfpack-HERSEY Bears-
26 - 2020-02-09217HERSEY Bears-WILKIES-BARRIE Penguins-
27 - 2020-02-10229IOWA Wild-HERSEY Bears-
28 - 2020-02-11241HERSEY Bears-STOCKTON Flames-
29 - 2020-02-12253WILKIES-BARRIE Penguins-HERSEY Bears-
31 - 2020-02-14268BROOKLYN Wolfpack-HERSEY Bears-
33 - 2020-02-16287BELLEVILLE Senators-HERSEY Bears-
35 - 2020-02-18305HERSEY Bears-BROOKLYN Wolfpack-
36 - 2020-02-19314HERSEY Bears-BELLEVILLE Senators-
37 - 2020-02-20322MONT-LAURIER Sommet-HERSEY Bears-
38 - 2020-02-21340HERSEY Bears-CHICAGO Wolves-
39 - 2020-02-22350Manitoba Moose-HERSEY Bears-
41 - 2020-02-24368HOLLYWOOD Oscar-HERSEY Bears-
42 - 2020-02-25378HERSEY Bears-UTICA Comets-
44 - 2020-02-27396Marlies de Toronto-HERSEY Bears-
45 - 2020-02-28407HERSEY Bears-BROOKLYN Wolfpack-
46 - 2020-02-29420HERSEY Bears-PV Sharapovas-
47 - 2020-03-01433PV Sharapovas-HERSEY Bears-
49 - 2020-03-03447HERSEY Bears-COLORADO Eagles-
50 - 2020-03-04460SAN DIEGO Gulls-HERSEY Bears-
52 - 2020-03-06473HERSEY Bears-LAVAL Rockets-
53 - 2020-03-07486VICTORIAVILLE Tigres-HERSEY Bears-
54 - 2020-03-08500COLORADO Eagles-HERSEY Bears-
55 - 2020-03-09512HERSEY Bears-VICTORIAVILLE Tigres-
57 - 2020-03-11524PROVIDENCE Bruins-HERSEY Bears-
58 - 2020-03-12538HERSEY Bears-IOWA Wild-
59 - 2020-03-13549HERSEY Bears-CORNWALL Aces-
60 - 2020-03-14558CORNWALL Aces-HERSEY Bears-
61 - 2020-03-15574HERSEY Bears-LEHIGH VALLEY Phantoms-
62 - 2020-03-16585Binghampton Devils-HERSEY Bears-
63 - 2020-03-17599HERSEY Bears-PROVIDENCE Bruins-
65 - 2020-03-19610WILKIES-BARRIE Penguins-HERSEY Bears-
66 - 2020-03-20626PROVIDENCE Bruins-HERSEY Bears-
67 - 2020-03-21639HERSEY Bears-TUSCON Roadrunners-
68 - 2020-03-22651UTICA Comets-HERSEY Bears-
70 - 2020-03-24665HERSEY Bears-MILWAUKEE Admirals-
71 - 2020-03-25680CHICAGO Wolves-HERSEY Bears-
72 - 2020-03-26691HERSEY Bears-TUSCON Roadrunners-
73 - 2020-03-27706TUSCON Roadrunners-HERSEY Bears-
75 - 2020-03-29719HERSEY Bears-Manitoba Moose-
76 - 2020-03-30730TUSCON Roadrunners-HERSEY Bears-
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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
188,966$ 1,190,000$ 1,190,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 107,885$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 101 19,730$ 1,992,730$




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
3373201100201734210100012843110010089-192037570155912507784863185412810029517.24%14471.43%015626658.65%9520546.34%539257.61%190144155458041
Total Saison Régulière73201100201734210100012843110010089-192037570155912507784863185412810029517.24%14471.43%015626658.65%9520546.34%539257.61%190144155458041
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