HERSEY Bears

GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 2 | GA: 4 | PP%: 20.00% | PK%: 50.00%
DG: Olivier Savoie | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #26 vs TUSCON Roadrunners
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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 SPÂgeContratSalaire
1Jesper Bratt0X100.0059388776658285745675705978636459997102252,000,000$
2Nick Paul0X100.007947866587777265786663676569665999700253750,000$
3Martin Necas (R)0X100.006339887178807769706867637262668599700213750,000$
4Dmytro Timashov (R)0X100.007239886769778065586366646867655799690233750,000$
5Pierre Engvall0X100.0069488966927573656163646668676359996902461,500,000$
6Anders Bjork0X100.0062408864727475626065616362676458996702441,400,000$
7Valentin Zykov (R)0XX100.006445826378807562535861596469657399660253750,000$
8Joshua Ho-Sang0XX100.005739896669787564596258616667647899660241900,000$
9Kevin Roy0X100.005438866264807763546158606473675399650273850,000$
10Alexandre Fortin0X100.005843896171807659545758566165636299640234800,000$
11Lukas Sedlak0X100.007235716475736063736263666356524799640271750,000$
12Matt Grzelcyk0X100.0064427370648486683074597253716658997102622,400,000$
13Mike Reilly0X100.0068398366778478643074576350736853997002711,500,000$
14Sami Niku0X100.005842886673756964306558635467645699660236800,000$
15Sebastian D Aho0X100.005089647064505070305146515651505699550246800,000$
Rayé
MOYENNE D'ÉQUIPE100.00634483667377746553646162636663619967
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 Hutchinson100.00766967837574767574767578845299690
2Ukko-Pekka Luukkonen (R)100.00725654867170727170727161657199630
Rayé
MOYENNE D'ÉQUIPE100.0074636185737274737274737075629966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels69696969737366CAN532300,000$


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
1Mike ReillyHERSEY Bears (WSH)D1022-1200112150.00%22828.470115400000000.00%003001.4100000000
2Valentin ZykovHERSEY Bears (WSH)LW/RW1022-100217580.00%42727.73011140000000100.00%220001.4400000000
3Nick PaulHERSEY Bears (WSH)LW1000-100002130.00%01616.720001100000000.00%022000.0000000000
4Lukas SedlakHERSEY Bears (WSH)C1000000016320.00%099.9300000000000086.67%1500000.0000000000
5Joshua Ho-SangHERSEY Bears (WSH)LW/RW1000-100113100.00%01616.720001100000000.00%230000.0000000000
6Dmytro TimashovHERSEY Bears (WSH)LW1000000105520.00%01919.25000000000000100.00%100000.0000000000
7Martin NecasHERSEY Bears (WSH)C1000-100027110.00%21616.7200021000000073.53%3411000.0000000000
Stats d'équipe Total ou en Moyenne7044-520464217210.00%813519.360221015000000075.93%5486000.5900000000
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)10100.9094.00600044422000.000010000
Stats d'équipe Total ou en Moyenne10100.9094.00600044422000.000010000


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)LW232/25/1997No84 Kg183 CMNoNoNo4Pro & Farm800,000$786,441$750,000$737,288$0$0$No800,000$800,000$800,000$Lien
Anders BjorkHERSEY Bears (WSH)LW248/5/1996No86 Kg183 CMNoNoNo4Pro & Farm1,400,000$1,376,271$750,000$737,288$0$0$No1,400,000$1,400,000$1,400,000$Lien
Dmytro TimashovHERSEY Bears (WSH)LW2310/1/1996Yes87 Kg178 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Jesper BrattHERSEY Bears (WSH)LW227/30/1998No80 Kg178 CMNoNoNo5Pro & Farm2,000,000$1,966,102$2,000,000$1,966,102$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$Lien
Joshua Ho-SangHERSEY Bears (WSH)LW/RW241/22/1996No79 Kg183 CMNoNoNo1Pro & Farm900,000$884,746$900,000$884,746$0$0$NoLien
Kevin RoyHERSEY Bears (WSH)LW275/20/1993No78 Kg175 CMNoNoNo3Pro & Farm850,000$835,593$750,000$737,288$0$0$No850,000$850,000$Lien
Lukas SedlakHERSEY Bears (WSH)C272/25/1993No93 Kg183 CMNoNoNo1Pro & Farm750,000$737,288$750,000$737,288$0$0$NoLien
Martin NecasHERSEY Bears (WSH)C211/15/1999Yes86 Kg188 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Matt GrzelcykHERSEY Bears (WSH)D261/5/1994No79 Kg175 CMNoNoNo2Pro & Farm2,400,000$2,359,322$750,000$737,288$0$0$No2,400,000$Lien
Michael HutchinsonHERSEY Bears (WSH)G303/2/1990No90 Kg191 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Mike ReillyHERSEY Bears (WSH)D277/13/1993No91 Kg185 CMNoNoNo1Pro & Farm1,500,000$1,474,576$1,500,000$1,474,576$0$0$NoLien
Nick PaulHERSEY Bears (WSH)LW253/20/1995No100 Kg191 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$Lien
Pierre EngvallHERSEY Bears (WSH)LW245/31/1996No97 Kg196 CMNoNoNo6Pro & Farm1,500,000$1,474,576$750,000$737,288$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$Lien
Sami NikuHERSEY Bears (WSH)D2310/10/1996No80 Kg185 CMNoNoNo6Pro & Farm800,000$786,441$750,000$737,288$0$0$No800,000$800,000$800,000$800,000$800,000$Lien
Sebastian D AhoHERSEY Bears (WSH)D242/17/1996No77 Kg178 CMNoNoNo6Pro & Farm800,000$786,441$750,000$737,288$0$0$No800,000$800,000$800,000$800,000$800,000$Lien
Ukko-Pekka LuukkonenHERSEY Bears (WSH)G213/9/1999Yes89 Kg193 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Valentin ZykovHERSEY Bears (WSH)LW/RW255/15/1995Yes100 Kg183 CMNoNoNo3Pro & Farm750,000$737,288$750,000$737,288$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.4787 Kg183 CM3.351,070,588$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Valentin Zykov31122
2Nick PaulMartin NecasJoshua Ho-Sang26122
3Dmytro TimashovLukas SedlakValentin Zykov23122
4Valentin Zykov20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly31122
226122
323122
4Mike Reilly20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Valentin Zykov55122
2Nick PaulMartin NecasJoshua Ho-Sang45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Martin NecasNick Paul45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Mike Reilly55122
2Martin Necas4512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Martin NecasNick Paul45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valentin ZykovMike Reilly
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valentin ZykovMike Reilly
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dmytro Timashov, , Valentin ZykovDmytro Timashov, Dmytro Timashov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , Nick Paul, Martin Necas, Dmytro Timashov
Gardien
#1 : Michael Hutchinson, #2 : Ukko-Pekka Luukkonen
Lignes d'Attaque Perso. en Prol.
, , Nick Paul, Martin Necas, Dmytro Timashov, , , Valentin Zykov, Joshua Ho-Sang, ,
Lignes de Défense Perso. en Prol.
, Mike Reilly, , ,


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
1TORONTO Marlies1010000024-21010000024-20000000000000.00024600011048131817044154155120.00%2150.00%0232979.31%182766.67%111764.71%2617186158
Total1010000024-21010000024-20000000000000.00024600011048131817044154155120.00%2150.00%0232979.31%182766.67%111764.71%2617186158
_Since Last GM Reset1010000024-21010000024-20000000000000.00024600011048131817044154155120.00%2150.00%0232979.31%182766.67%111764.71%2617186158
_Vs Conference1010000024-21010000024-20000000000000.00024600011048131817044154155120.00%2150.00%0232979.31%182766.67%111764.71%2617186158

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
10L124648441541500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000024
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
010000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5120.00%2150.00%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
13181700110
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
232979.31%182766.67%111764.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2617186158


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
1 - 2021-01-179TORONTO Marlies4HERSEY Bears2LSommaire du Match
3 - 2021-01-1926HERSEY Bears-TUSCON Roadrunners-
4 - 2021-01-2033TUSCON Roadrunners-HERSEY Bears-
6 - 2021-01-2250HERSEY Bears-BROOKLYN Wolfpack-
7 - 2021-01-2364SAN ANTONIO Rampage-HERSEY Bears-
8 - 2021-01-2478BINGHAMTON Devils-HERSEY Bears-
10 - 2021-01-2692HERSEY Bears-PROVIDENCE Bruins-
12 - 2021-01-28106UTICA Comets-HERSEY Bears-
14 - 2021-01-30116HERSEY Bears-COLORADO Eagles-
15 - 2021-01-31126HERSEY Bears-SYRACUSE Crunch-
16 - 2021-02-01141TORONTO Marlies-HERSEY Bears-
17 - 2021-02-02148HERSEY Bears-UTICA Comets-
19 - 2021-02-04164PROVIDENCE Bruins-HERSEY Bears-
20 - 2021-02-05180HERSEY Bears-TUSCON Roadrunners-
21 - 2021-02-06188HERSEY Bears-BROOKLYN Wolfpack-
23 - 2021-02-08200SYRACUSE Crunch-HERSEY Bears-
25 - 2021-02-10218HERSEY Bears-SCRANTON Penguins-
26 - 2021-02-11227HERSEY Bears-ONTARIO Reign-
27 - 2021-02-12234TUSCON Roadrunners-HERSEY Bears-
29 - 2021-02-14256CHICAGO Wolves-HERSEY Bears-
30 - 2021-02-15266SAN DIEGO Gulls-HERSEY Bears-
31 - 2021-02-16280HERSEY Bears-BINGHAMTON Devils-
33 - 2021-02-18296UTICA Comets-HERSEY Bears-
34 - 2021-02-19309SCRANTON Penguins-HERSEY Bears-
36 - 2021-02-21318HERSEY Bears-CHICAGO Wolves-
37 - 2021-02-22335HERSEY Bears-UTICA Comets-
39 - 2021-02-24344HERSEY Bears-SAN DIEGO Gulls-
40 - 2021-02-25358BAKERSFIELD Condors-HERSEY Bears-
42 - 2021-02-27370MANITOBA Moose-HERSEY Bears-
43 - 2021-02-28387HERSEY Bears-SAN DIEGO Gulls-
45 - 2021-03-02397ONTARIO Reign-HERSEY Bears-
46 - 2021-03-03407HERSEY Bears-CAROLINA Checkers-
48 - 2021-03-05426HERSEY Bears-BAKERSFIELD Condors-
49 - 2021-03-06438BINGHAMTON Devils-HERSEY Bears-
50 - 2021-03-07448HERSEY Bears-BRIDGEPORT Sound Tigers-
52 - 2021-03-09463UTICA Comets-HERSEY Bears-
53 - 2021-03-10475PROVIDENCE Bruins-HERSEY Bears-
55 - 2021-03-12492HERSEY Bears-LAVAL Rocket-
56 - 2021-03-13501PROVIDENCE Bruins-HERSEY Bears-
57 - 2021-03-14516HERSEY Bears-COLORADO Eagles-
59 - 2021-03-16528HERSEY Bears-PROVIDENCE Bruins-
60 - 2021-03-17541BELLEVILLE Senators-HERSEY Bears-
62 - 2021-03-19555HERSEY Bears-BELLEVILLE Senators-
63 - 2021-03-20568SYRACUSE Crunch-HERSEY Bears-
64 - 2021-03-21579HERSEY Bears-MANITOBA Moose-
65 - 2021-03-22592BRIDGEPORT Sound Tigers-HERSEY Bears-
66 - 2021-03-23601HERSEY Bears-STOCKTON Flames-
68 - 2021-03-25616STOCKTON Flames-HERSEY Bears-
69 - 2021-03-26627HERSEY Bears-ROCKFORD IceHogs-
71 - 2021-03-28643IOWA Wild-HERSEY Bears-
73 - 2021-03-30660ROCKFORD IceHogs-HERSEY Bears-
75 - 2021-04-01676COLORADO Eagles-HERSEY Bears-
77 - 2021-04-03689HERSEY Bears-LEHIGH VALLEY Phantoms-
78 - 2021-04-04698HERSEY Bears-IOWA Wild-
79 - 2021-04-05709HERSEY Bears-UTICA Comets-
80 - 2021-04-06721GRAND RAPIDS Griffins-HERSEY Bears-
81 - 2021-04-07734HERSEY Bears-BROOKLYN Wolfpack-
83 - 2021-04-09747TORONTO Marlies-HERSEY Bears-
85 - 2021-04-11763TUSCON Roadrunners-HERSEY Bears-
87 - 2021-04-13775HERSEY Bears-CAROLINA Checkers-
88 - 2021-04-14788HERSEY Bears-SYRACUSE Crunch-
89 - 2021-04-15797MILWAUKEE Admirals-HERSEY Bears-
91 - 2021-04-17811HERSEY Bears-ROCKFORD IceHogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19824BROOKLYN Wolfpack-HERSEY Bears-
94 - 2021-04-20845BROOKLYN Wolfpack-HERSEY Bears-
96 - 2021-04-22856HERSEY Bears-TUSCON Roadrunners-
97 - 2021-04-23865HERSEY Bears-LAVAL Rocket-
98 - 2021-04-24876LAVAL Rocket-HERSEY Bears-
99 - 2021-04-25890HERSEY Bears-GRAND RAPIDS Griffins-
100 - 2021-04-26899HERSEY Bears-SAN ANTONIO Rampage-
101 - 2021-04-27908MILWAUKEE Admirals-HERSEY Bears-
103 - 2021-04-29927CAROLINA Checkers-HERSEY Bears-
106 - 2021-05-02948SAN ANTONIO Rampage-HERSEY Bears-
108 - 2021-05-04965LAVAL Rocket-HERSEY Bears-
110 - 2021-05-06982HERSEY Bears-BRIDGEPORT Sound Tigers-
111 - 2021-05-07992HERSEY Bears-TORONTO Marlies-
112 - 2021-05-08998LEHIGH VALLEY Phantoms-HERSEY Bears-
113 - 2021-05-091016LEHIGH VALLEY Phantoms-HERSEY Bears-
114 - 2021-05-101017HERSEY Bears-MILWAUKEE Admirals-
115 - 2021-05-111023HERSEY Bears-TORONTO Marlies-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
30,848$ 1,820,000$ 1,490,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 30,848$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 116 15,424$ 1,789,184$




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
Saison Régulière
348035280726224017367401812041411269234401716031211148133100240428668210101675913233975179075965204254943912422694516.73%1863481.72%31354255153.08%1156236148.96%575114750.13%2117152817425471002521
348035280726224017367401812041411269234401716031211148133100240428668210101675913233975179075965204254943912422694516.73%1863481.72%31354255153.08%1156236148.96%575114750.13%2117152817425471002521
361010000024-21010000024-200000000000024600011048131817044154155120.00%2150.00%0232979.31%182766.67%111764.71%2617186158
Total Saison Régulière161705701441244823501328136250828225418866803432062422281626620048286013424202021351192647261515159815351304128111388224995439116.76%3746981.55%62731513153.23%2330474949.06%1161231150.24%426130743502110120201051
Séries
3451400000713-6211000005503030000028-627111800133010725453701735132752114.76%14378.57%04114129.08%4218023.33%207128.17%10471134356030
Total Séries51400000713-6211000005503030000028-627111800133010725453701735132752114.76%14378.57%04114129.08%4218023.33%207128.17%10471134356030