HERSEY Bears

GP: 40 | W: 20 | L: 17 | OTL: 3 | P: 43
GF: 103 | GA: 92 | PP%: 14.18% | PK%: 82.69%
DG: Olivier Savoie | Morale : 99 | Moyenne d'Équipe : 67
Prochain matchs #516 vs Syracruse Crunch
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
1Chandler Stephenson0X100.006243886676788365766463796571686299710
2Jesper Bratt0X100.005938877665828574567570597863645999710
3Nick Paul0X100.007947866587777265786663676569665999700
4Martin Necas (R)0X100.006339887178807769706867637262668599700
5Dmytro Timashov (R)0X100.007239886769778065586366646867655799690
6Anders Bjork0X100.006240886472747562606561636267645899670
7Valentin Zykov (R)0XX100.006445826378807562535861596469657399660
8Joshua Ho-Sang0XX100.005739896669787564596258616667647899660
9Kevin Roy0X100.005438866264807763546158606473675399650
10Alexandre Fortin0X100.005843896171807659545758566165636299640
11Lukas Sedlak0X100.007235716475736063736263666356524799640
12Taro Hirose (R)0X100.005639876465757163586459576367645299640
13Matt Grzelcyk0X100.006442737064848668307459725371665897710
14Mike Reilly0X100.006839836677847864307457635073685399700
15Tim Heed0X100.005439896668777164307058615077694799670
16Sami Niku0X100.005842886673756964306558635467645699660
17Sebastian D Aho0X100.005089647064505070305146515651505699550
Rayé
MOYENNE D'ÉQUIPE100.00624384667177746553656063626764609967
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)100.00725654867170727170727161657199640
Rayé
MOYENNE D'ÉQUIPE100.0074636185737274737274737075629967
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Daniels69696969737366CAN523300,000$


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
1Martin NecasHERSEY Bears (WSH)C40122234510038107153411087.84%996024.02156211120111706256.18%106800000.7101000213
2Chandler StephensonHERSEY Bears (WSH)C401716333605388179531249.50%1592823.20358321150113953157.57%117600010.7114000451
3Nick PaulHERSEY Bears (WSH)LW401517328395112541483310910.14%993023.25325221111013561157.75%7100010.6902010141
4Matt GrzelcykHERSEY Bears (WSH)D38623291320695057204010.53%60104527.5233632109011075100.00%000000.5500000221
5Mike ReillyHERSEY Bears (WSH)D4041923-9320602836102511.11%55103925.9824620118000076100.00%000100.4400000102
6Jesper BrattHERSEY Bears (WSH)LW40131023-11804072113478411.50%980420.11336171161012952143.10%5800100.5704000120
7Dmytro TimashovHERSEY Bears (WSH)LW4081119440393511328697.08%965816.460113130000381248.00%5000000.5811000200
8Sami NikuHERSEY Bears (WSH)D40612189140262549152112.24%3988022.0133627109000088000.00%000000.4100000021
9Tim HeedHERSEY Bears (WSH)D402151724021263618425.56%35101625.4203315104011181000.00%000000.3300000000
10Lukas SedlakHERSEY Bears (WSH)C405712-116057536524497.69%1253413.3700000000031058.15%50900000.4500000002
11Joshua Ho-SangHERSEY Bears (WSH)LW/RW407512-140173710426716.73%887321.8500016110000001070.00%5000010.2700000003
12Anders BjorkHERSEY Bears (WSH)LW40281061201525459464.44%645411.36011011000080050.00%3200000.4400000010
13Valentin ZykovHERSEY Bears (WSH)LW/RW40369431564276119434.92%398524.6301110106000020046.97%6600000.1800100001
14Sebastian D AhoHERSEY Bears (WSH)D400441116025812650.00%1664516.13000215000024000.00%000000.1200000001
15Kevin RoyHERSEY Bears (WSH)LW401120000232333.33%2761.9011214000011057.14%700000.5300000000
16Alexandre FortinHERSEY Bears (WSH)LW40011000216110.00%2411.030001200003000.00%100000.4900000000
17Taro HiroseHERSEY Bears (WSH)LW2000000000100.00%094.6400000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne640101177278412381063863811803538408.56%2891188418.5719325121911622461072418756.63%309000230.47212110131716
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)40201730.9072.23239944899620110.75012400623
2Ukko-Pekka LuukkonenHERSEY Bears (WSH)20001.0000.0026000130000.0000040000
Stats d'équipe Total ou en Moyenne42201730.9092.20242644899750110.750124040623


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)LW231997-02-25No84 Kg183 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Anders BjorkHERSEY Bears (WSH)LW241996-08-05No86 Kg183 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Chandler StephensonHERSEY Bears (WSH)C261994-04-22No95 Kg183 CMNoNoNo4Pro & Farm1,000,000$522,935$1,000,000$522,935$0$0$No1,000,000$1,000,000$1,000,000$Lien
Dmytro TimashovHERSEY Bears (WSH)LW231996-10-01Yes87 Kg178 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Jesper BrattHERSEY Bears (WSH)LW221998-07-30No80 Kg178 CMNoNoNo6Pro & Farm2,000,000$1,045,871$2,000,000$1,045,871$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$2,000,000$Lien
Joshua Ho-SangHERSEY Bears (WSH)LW/RW241996-01-22No79 Kg183 CMNoNoNo2Pro & Farm900,000$470,642$900,000$470,642$0$0$No900,000$Lien
Kevin RoyHERSEY Bears (WSH)LW271993-05-20No78 Kg175 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Lukas SedlakHERSEY Bears (WSH)C271993-02-25No93 Kg183 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Martin NecasHERSEY Bears (WSH)C211999-01-15Yes86 Kg188 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Matt GrzelcykHERSEY Bears (WSH)D261994-01-05No79 Kg175 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Michael HutchinsonHERSEY Bears (WSH)G301990-03-02No90 Kg191 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$Lien
Mike ReillyHERSEY Bears (WSH)D271993-07-13No91 Kg185 CMNoNoNo2Pro & Farm1,500,000$784,403$1,500,000$784,403$0$0$No1,500,000$Lien
Nick PaulHERSEY Bears (WSH)LW251995-03-20No100 Kg191 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$Lien
Sami NikuHERSEY Bears (WSH)D231996-10-10No80 Kg185 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Sebastian D AhoHERSEY Bears (WSH)D241996-02-17No77 Kg178 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Taro HiroseHERSEY Bears (WSH)LW241996-06-30Yes74 Kg178 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Tim HeedHERSEY Bears (WSH)D291991-01-27No82 Kg180 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Ukko-Pekka LuukkonenHERSEY Bears (WSH)G211999-03-09Yes89 Kg193 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Valentin ZykovHERSEY Bears (WSH)LW/RW251995-05-15Yes100 Kg183 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.7986 Kg183 CM2.68876,316$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jesper BrattChandler StephensonValentin Zykov31122
2Nick PaulMartin NecasJoshua Ho-Sang26122
3Dmytro TimashovLukas SedlakValentin Zykov23122
4Anders BjorkChandler StephensonValentin Zykov20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly31122
2Tim HeedSami Niku26122
3Sebastian D AhoMatt Grzelcyk23122
4Mike ReillyTim Heed20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jesper BrattChandler StephensonValentin Zykov55122
2Nick PaulMartin NecasJoshua Ho-Sang45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim HeedSami Niku45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonJesper Bratt55122
2Martin NecasNick Paul45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim HeedSami Niku45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chandler Stephenson55122Matt GrzelcykMike Reilly55122
2Martin Necas45122Tim HeedSami Niku45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonJesper Bratt55122
2Martin NecasNick Paul45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykMike Reilly55122
2Tim HeedSami Niku45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesper BrattChandler StephensonValentin ZykovMatt GrzelcykMike Reilly
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesper BrattChandler StephensonValentin ZykovMatt GrzelcykMike Reilly
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dmytro Timashov, Anders Bjork, Valentin ZykovDmytro Timashov, Anders BjorkDmytro Timashov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tim Heed, Sami Niku, Sebastian D AhoTim HeedTim Heed, Sami Niku
Tirs de Pénalité
Jesper Bratt, Chandler Stephenson, Nick Paul, Martin Necas, Dmytro Timashov
Gardien
#1 : Michael Hutchinson, #2 : Ukko-Pekka Luukkonen
Lignes d'Attaque Perso. en Prol.
Jesper Bratt, Chandler Stephenson, Nick Paul, Martin Necas, Dmytro Timashov, Anders Bjork, Anders Bjork, Valentin Zykov, Joshua Ho-Sang, Kevin Roy, Alexandre Fortin
Lignes de Défense Perso. en Prol.
Matt Grzelcyk, Mike Reilly, Tim Heed, Sami Niku, Sebastian D Aho


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 Senators1000000112-1000000000001000000112-110.50012300423024714378370403414215810200.00%40100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
2BRIDGEPORT Sound Tigers1010000024-21010000024-20000000000000.0002461042302472637837040341184215700.00%110.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
3BROOKLYN Wolfpack2020000026-41010000001-11010000025-300.000246004230247413783704034141710293133.33%4175.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
4Binghampton Devils11000000422000000000001100000042221.0004711004230247413783704034120915196116.67%30100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
5CHICAGO Wolves2110000056-1110000004311010000013-220.5005813004230247483783704034168171438200.00%70100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
6COLORADO Eagles20101000880100010005411010000034-120.500812200042302475137837040341551218327114.29%7442.86%0795132260.14%617114254.03%33857858.48%1077774846272510266
7HOLLYWOOD Oscar10001000321100010003210000000000021.000358004230247313783704034119112165240.00%10100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
8IOWA Wild1010000013-2000000000001010000013-200.0001230042302472337837040341246413300.00%2150.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
9LEHIGH VALLEY Phantoms31100010541100000102112110000033040.66758130042302479337837040341701720646233.33%10190.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
10MILWAUKEE Admirals21100000321211000003210000000000020.500358004230247503783704034142171425300.00%70100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
11MONT-LAURIER Sommet1010000023-1000000000001010000023-100.00023500423024738378370403412567223133.33%10100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
12Manitoba Moose311001006511000010034-12110000031230.500610160142302477137837040341912618451100.00%8187.50%0795132260.14%617114254.03%33857858.48%1077774846272510266
13Marlies de Toronto2020000048-42020000048-40000000000000.0004812004230247603783704034144161241300.00%6350.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
14PV Sharapovas10001000211000000000001000100021121.0002460042302471937837040341252420200.00%10100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
15Quebec Nordiques11000000514000000000001100000051421.000510150042302474437837040341204630500.00%30100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
16SAN DIEGO Gulls11000000927000000000001100000092721.000916250042302476237837040341123412000.00%20100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
17STOCKTON Flames32000001853210000017521100000010150.8338142201423024792378370403418025205013323.08%9188.89%1795132260.14%617114254.03%33857858.48%1077774846272510266
18Syracruse Crunch21000010743100000103211100000042241.000710170042302479737837040341481510237342.86%50100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
19TUSCON Roadrunners21100000312000000000002110000031220.500369014230247523783704034132112259222.22%110.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
Total4013170512210392111948031215052-2219902001534013430.5381031772801442302471180378370403419762892426381341914.18%1041882.69%2795132260.14%617114254.03%33857858.48%1077774846272510266
21UTICA Comets31101000111101010000025-32100100096340.66711223300423024773378370403416720164016318.75%6183.33%1795132260.14%617114254.03%33857858.48%1077774846272510266
22VICTORIAVILLE Tigres31101000963311010009630000000000040.667912210142302479737837040341801716351100.00%70100.00%0795132260.14%617114254.03%33857858.48%1077774846272510266
23WILKIES-BARRIE Penguins2020000036-31010000035-21010000001-100.0003580042302475737837040341532920341000.00%9366.67%0795132260.14%617114254.03%33857858.48%1077774846272510266
_Since Last GM Reset4013170512210392111948031215052-2219902001534013430.5381031772801442302471180378370403419762892426381341914.18%1041882.69%2795132260.14%617114254.03%33857858.48%1077774846272510266
_Vs Conference17510020004748-1926010002027-78340100027216140.4124785132114230247463378370403413791079225750714.00%411173.17%1795132260.14%617114254.03%33857858.48%1077774846272510266
_Vs Division11260100036241240400000121207220100024121260.2733666102024230247348378370403412357651165461123.91%20385.00%2795132260.14%617114254.03%33857858.48%1077774846272510266

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4043W1103177280118097628924263814
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
401317512210392
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
194831215052
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
219920015340
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1341914.18%1041882.69%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
378370403414230247
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
795132260.14%617114254.03%33857858.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1077774846272510266


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 - 2020-08-025VICTORIAVILLE Tigres3HERSEY Bears4WXSommaire du Match
2 - 2020-08-0320HERSEY Bears2BROOKLYN Wolfpack5LSommaire du Match
4 - 2020-08-0534STOCKTON Flames4HERSEY Bears3LXXSommaire du Match
5 - 2020-08-0645HERSEY Bears3Manitoba Moose0WSommaire du Match
6 - 2020-08-0758HERSEY Bears0Manitoba Moose1LSommaire du Match
7 - 2020-08-0867HERSEY Bears2PV Sharapovas1WXSommaire du Match
8 - 2020-08-0978COLORADO Eagles4HERSEY Bears5WXSommaire du Match
10 - 2020-08-1191HERSEY Bears9SAN DIEGO Gulls2WSommaire du Match
11 - 2020-08-12103CHICAGO Wolves3HERSEY Bears4WSommaire du Match
12 - 2020-08-13118VICTORIAVILLE Tigres0HERSEY Bears3WSommaire du Match
14 - 2020-08-15137HERSEY Bears4Binghampton Devils2WSommaire du Match
15 - 2020-08-16145HERSEY Bears2MONT-LAURIER Sommet3LSommaire du Match
16 - 2020-08-17150Marlies de Toronto3HERSEY Bears0LSommaire du Match
18 - 2020-08-19169WILKIES-BARRIE Penguins5HERSEY Bears3LSommaire du Match
19 - 2020-08-20187Syracruse Crunch2HERSEY Bears3WXXSommaire du Match
20 - 2020-08-21192HERSEY Bears0TUSCON Roadrunners1LSommaire du Match
22 - 2020-08-23215HERSEY Bears3LEHIGH VALLEY Phantoms2WSommaire du Match
23 - 2020-08-24219HERSEY Bears1IOWA Wild3LSommaire du Match
24 - 2020-08-25231STOCKTON Flames1HERSEY Bears4WSommaire du Match
25 - 2020-08-26247HERSEY Bears3COLORADO Eagles4LSommaire du Match
26 - 2020-08-27254HERSEY Bears4UTICA Comets3WXSommaire du Match
27 - 2020-08-28266MILWAUKEE Admirals1HERSEY Bears0LSommaire du Match
29 - 2020-08-30282BRIDGEPORT Sound Tigers4HERSEY Bears2LSommaire du Match
31 - 2020-09-01303LEHIGH VALLEY Phantoms1HERSEY Bears2WXXSommaire du Match
32 - 2020-09-02315HERSEY Bears1BELLEVILLE Senators2LXXSommaire du Match
33 - 2020-09-03323HERSEY Bears0WILKIES-BARRIE Penguins1LSommaire du Match
34 - 2020-09-04331VICTORIAVILLE Tigres3HERSEY Bears2LSommaire du Match
36 - 2020-09-06350HERSEY Bears3TUSCON Roadrunners0WSommaire du Match
37 - 2020-09-07358HOLLYWOOD Oscar2HERSEY Bears3WXSommaire du Match
38 - 2020-09-08368HERSEY Bears5Quebec Nordiques1WSommaire du Match
40 - 2020-09-10386Manitoba Moose4HERSEY Bears3LXSommaire du Match
41 - 2020-09-11395HERSEY Bears1STOCKTON Flames0WSommaire du Match
42 - 2020-09-12412UTICA Comets5HERSEY Bears2LSommaire du Match
44 - 2020-09-14422HERSEY Bears0LEHIGH VALLEY Phantoms1LSommaire du Match
45 - 2020-09-15433HERSEY Bears4Syracruse Crunch2WSommaire du Match
46 - 2020-09-16442MILWAUKEE Admirals1HERSEY Bears3WSommaire du Match
48 - 2020-09-18463BROOKLYN Wolfpack1HERSEY Bears0LSommaire du Match
49 - 2020-09-19476HERSEY Bears1CHICAGO Wolves3LSommaire du Match
50 - 2020-09-20488Marlies de Toronto5HERSEY Bears4LSommaire du Match
52 - 2020-09-22506HERSEY Bears5UTICA Comets3WSommaire du Match
53 - 2020-09-23516Syracruse Crunch-HERSEY Bears-
54 - 2020-09-24523HERSEY Bears-Binghampton Devils-
56 - 2020-09-26538Binghampton Devils-HERSEY Bears-
57 - 2020-09-27548HERSEY Bears-HOLLYWOOD Oscar-
58 - 2020-09-28563HERSEY Bears-BROOKLYN Wolfpack-
59 - 2020-09-29574COLORADO Eagles-HERSEY Bears-
60 - 2020-09-30591PV Sharapovas-HERSEY Bears-
62 - 2020-10-02605HERSEY Bears-MILWAUKEE Admirals-
63 - 2020-10-03615ROCKFORD IceHogs-HERSEY Bears-
64 - 2020-10-04629HERSEY Bears-Marlies de Toronto-
65 - 2020-10-05642HERSEY Bears-PV Sharapovas-
66 - 2020-10-06648COLORADO Eagles-HERSEY Bears-
68 - 2020-10-08669LAVAL Rockets-HERSEY Bears-
69 - 2020-10-09679HERSEY Bears-PROVIDENCE Bruins-
70 - 2020-10-10692HERSEY Bears-VICTORIAVILLE Tigres-
71 - 2020-10-11698Quebec Nordiques-HERSEY Bears-
72 - 2020-10-12717PROVIDENCE Bruins-HERSEY Bears-
75 - 2020-10-15739HERSEY Bears-LAVAL Rockets-
76 - 2020-10-16748CHICAGO Wolves-HERSEY Bears-
77 - 2020-10-17761HERSEY Bears-BRIDGEPORT Sound Tigers-
78 - 2020-10-18771WILKIES-BARRIE Penguins-HERSEY Bears-
80 - 2020-10-20792Quebec Nordiques-HERSEY Bears-
81 - 2020-10-21799HERSEY Bears-MONT-LAURIER Sommet-
82 - 2020-10-22806HERSEY Bears-SAN DIEGO Gulls-
83 - 2020-10-23824IOWA Wild-HERSEY Bears-
84 - 2020-10-24831HERSEY Bears-HOLLYWOOD Oscar-
86 - 2020-10-26849HERSEY Bears-BRIDGEPORT Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27855BELLEVILLE Senators-HERSEY Bears-
88 - 2020-10-28872HERSEY Bears-LAVAL Rockets-
89 - 2020-10-29880PROVIDENCE Bruins-HERSEY Bears-
91 - 2020-10-31903HERSEY Bears-ROCKFORD IceHogs-
92 - 2020-11-01909BELLEVILLE Senators-HERSEY Bears-
93 - 2020-11-02920HERSEY Bears-SAN DIEGO Gulls-
94 - 2020-11-03935IOWA Wild-HERSEY Bears-
95 - 2020-11-04944HERSEY Bears-Manitoba Moose-
97 - 2020-11-06960MONT-LAURIER Sommet-HERSEY Bears-
99 - 2020-11-08981SAN DIEGO Gulls-HERSEY Bears-
103 - 2020-11-121004TUSCON Roadrunners-HERSEY Bears-
104 - 2020-11-131012HERSEY Bears-ROCKFORD IceHogs-
107 - 2020-11-161031TUSCON Roadrunners-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
21 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
790,401$ 1,665,000$ 1,665,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 787,649$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 15,275$ 870,675$




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
33824521084223621622004122110422017378954123100420218984105903626369981201751017613360811781182120557178848028611102604517.31%1181983.90%21772284562.28%1043200152.12%827128864.21%260220431460453905507
344013170512210392111948031215052-2219902001534013431031772801442302471180378370403419762892426381341914.18%1041882.69%2795132260.14%617114254.03%33857858.48%1077774846272510266
Total Saison Régulière1225838013544465254211602619073412231309362321906203242124118133465813127822421713110020478815561552160898276476952817483946416.24%2223783.33%42567416761.60%1660314352.82%1165186662.43%3680281723077261415774
Séries
33624000001116-530300000410-63210000076141120311063111705641442918146369233618.18%18383.33%011723549.79%9222640.71%4511339.82%166113179559146
Total Séries624000001116-530300000410-63210000076141120311063111705641442918146369233618.18%18383.33%011723549.79%9222640.71%4511339.82%166113179559146