HERSEY Bears
GP: 74 | W: 46 | L: 21 | OTL: 7 | P: 99
GF: 333 | GA: 186 | PP%: 16.80% | PK%: 84.92%
DG: Olivier Savoie | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #982 vs BRIDGEPORT Sound Tigers
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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
1Nick Paul0X100.007947866587777265786663676569665999700253750,000$
2Martin Necas (R)0X100.006339887178807769706867637262668599700213750,000$
3Dmytro Timashov (R)0X100.007239886769778065586366646867655799690233750,000$
4Pierre Engvall0X100.0069488966927573656163646668676359996902461,500,000$
5Anders Bjork0X100.0062408864727475626065616362676458996702441,400,000$
6Valentin Zykov (R)0XX100.006445826378807562535861596469657399660253750,000$
7Joshua Ho-Sang0XX100.005739896669787564596258616667647899660241900,000$
8Kevin Roy0X100.005438866264807763546158606473675399650273850,000$
9Alexandre Fortin0X100.005843896171807659545758566165636299640234800,000$
10Lukas Sedlak0X100.007235716475736063736263666356524799640271750,000$
11Mike Reilly0X100.0068398366778478643074576350736853997002711,500,000$
12Sami Niku0X100.005842886673756964306558635467645699660236800,000$
13Sebastian D Aho0X100.005089647064505070305146515651505699550246800,000$
Rayé
MOYENNE D'ÉQUIPE100.00644584657576726455636062636663619966
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
1Martin NecasHERSEY Bears (WSH)C7460591194429515015849116035712.22%65184024.8786148719410141009062.14%146611051.29160101095
2Mike ReillyHERSEY Bears (WSH)D741883101315001531091725812910.47%152197726.728111992208011086300.00%003001.0200000315
3Lukas SedlakHERSEY Bears (WSH)C744950994732012517438210027012.83%24132817.968111974186000027261.70%159000051.4912000857
4Valentin ZykovHERSEY Bears (WSH)LW/RW745145965520529239010626013.08%37140919.041192064196000005551.58%9520031.3612000662
5Joshua Ho-SangHERSEY Bears (WSH)LW/RW7436589434175831103219424311.21%39136118.403111451214000004352.04%9830011.3813001156
6Dmytro TimashovHERSEY Bears (WSH)LW744241834326015712036411325911.54%57146019.73000000001596052.69%9300031.1405000626
7Sami NikuHERSEY Bears (WSH)D69126476544401086413745918.76%112155022.4617852155000185110.00%000000.9800000043
8Nick PaulHERSEY Bears (WSH)LW372344673816069732236313910.31%2288924.04099291000001302163.87%42922021.5103000374
9Anders BjorkHERSEY Bears (WSH)LW6919284723203957200471519.50%2886012.47000040003652055.77%5200001.0914000022
10Sebastian D AhoHERSEY Bears (WSH)D691313248480106194523372.22%56145921.1611222151000066000.00%000000.4401000001
11Kevin RoyHERSEY Bears (WSH)LW69131326920112379184616.46%203434.9800010330000292162.60%13100001.5123000011
12Jesper BrattWASHINGTON CapitalsLW2112-1003414297.14%05527.78011211000030022.58%3100000.7200000000
13Alexandre FortinHERSEY Bears (WSH)LW69011-12017123250.00%0570.83000514000040075.00%800000.3501000000
14Matt GrzelcykWASHINGTON CapitalsD2011000249110.00%45829.4200081500004000.00%000000.3400000000
Stats d'équipe Total ou en Moyenne83032551984442427010105910142839833201711.45%6161465117.654066106496148811210537411361.08%3993860191.15730011374242
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)74462170.9192.444452261812231221020.78938740715
2Ukko-Pekka LuukkonenHERSEY Bears (WSH)10001.0000.0027000140000.0000074000
Stats d'équipe Total ou en Moyenne75462170.9192.424480261812245221020.789387474715


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$61,017$750,000$57,203$0$0$No800,000$800,000$800,000$Lien
Anders BjorkHERSEY Bears (WSH)LW248/5/1996No86 Kg183 CMNoNoNo4Pro & Farm1,400,000$106,780$750,000$57,203$0$0$No1,400,000$1,400,000$1,400,000$Lien
Dmytro TimashovHERSEY Bears (WSH)LW2310/1/1996Yes87 Kg178 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Joshua Ho-SangHERSEY Bears (WSH)LW/RW241/22/1996No79 Kg183 CMNoNoNo1Pro & Farm900,000$68,644$900,000$68,644$0$0$NoLien
Kevin RoyHERSEY Bears (WSH)LW275/20/1993No78 Kg175 CMNoNoNo3Pro & Farm850,000$64,831$750,000$57,203$0$0$No850,000$850,000$Lien
Lukas SedlakHERSEY Bears (WSH)C272/25/1993No93 Kg183 CMNoNoNo1Pro & Farm750,000$57,203$750,000$57,203$0$0$NoLien
Martin NecasHERSEY Bears (WSH)C211/15/1999Yes86 Kg188 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Michael HutchinsonHERSEY Bears (WSH)G303/2/1990No90 Kg191 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Mike ReillyHERSEY Bears (WSH)D277/13/1993No91 Kg185 CMNoNoNo1Pro & Farm1,500,000$114,407$1,500,000$114,407$0$0$NoLien
Nick PaulHERSEY Bears (WSH)LW253/20/1995No100 Kg191 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$Lien
Pierre EngvallHERSEY Bears (WSH)LW245/31/1996No97 Kg196 CMNoNoNo6Pro & Farm1,500,000$114,407$750,000$57,203$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$61,017$750,000$57,203$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$61,017$750,000$57,203$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$57,203$750,000$57,203$0$0$No750,000$750,000$
Valentin ZykovHERSEY Bears (WSH)LW/RW255/15/1995Yes100 Kg183 CMNoNoNo3Pro & Farm750,000$57,203$750,000$57,203$0$0$No750,000$750,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.5388 Kg185 CM3.33920,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin NecasJoshua Ho-Sang31122
2Lukas SedlakValentin Zykov26122
3Dmytro TimashovMartin Necas23122
4Anders BjorkDmytro Timashov20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly31122
2Sami NikuSebastian D Aho26122
3Mike Reilly23122
4Sami NikuSebastian D Aho20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin NecasJoshua Ho-Sang55122
2Lukas SedlakValentin Zykov45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
2Sami NikuSebastian D Aho45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin Necas55122
2Dmytro Timashov45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
2Sami NikuSebastian D Aho45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Mike Reilly55122
2Martin Necas45122Sami NikuSebastian D Aho45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin Necas55122
2Dmytro Timashov45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike Reilly55122
2Sami NikuSebastian D Aho45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin NecasJoshua Ho-SangMike Reilly
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin NecasJoshua Ho-SangMike Reilly
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Roy, Alexandre Fortin, Anders BjorkKevin Roy, Alexandre FortinAnders Bjork
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Mike Reilly, Sami NikuMike Reilly, Sami Niku
Tirs de Pénalité
, Martin Necas, , Dmytro Timashov, Anders Bjork
Gardien
#1 : Michael Hutchinson, #2 : Ukko-Pekka Luukkonen
Lignes d'Attaque Perso. en Prol.
, Martin Necas, , Dmytro Timashov, Anders Bjork, Joshua Ho-Sang, Joshua Ho-Sang, Valentin Zykov, Kevin Roy, Lukas Sedlak, Alexandre Fortin
Lignes de Défense Perso. en Prol.
, Mike Reilly, 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
1BAKERSFIELD Condors220000001301311000000303110000001001041.00013223502145104808139947945985583212462100.00%20100.00%11163221652.48%1018235143.30%586117250.00%192814641706463848436
2BELLEVILLE Senators22000000162141100000010191100000061541.000162541001451048081119479459855840136442150.00%30100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
3BINGHAMTON Devils32100000752220000007431010000001-140.6677111800145104808105947945985588526286117211.76%13192.31%01163221652.48%1018235143.30%586117250.00%192814641706463848436
4BRIDGEPORT Sound Tigers211000006511010000034-11100000031220.5006111700145104808499479459855861241031700.00%5180.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
5BROOKLYN Wolfpack55000000297222200000019415330000001037101.000294574011451048082149479459855814633166410660.00%70100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
6CAROLINA Checkers33000000314271100000012012220000001941561.000314677011451048082299479459855842118666116.67%2150.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
7CHICAGO Wolves210001007611000010023-11100000053230.7507132000145104808699479459855872202195120.00%110.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
8COLORADO Eagles312000001113-21010000045-12110000078-120.33311162700145104808839479459855810829144718316.67%7271.43%01163221652.48%1018235143.30%586117250.00%192814641706463848436
9GRAND RAPIDS Griffins21001000743100010003211100000042241.00071320001451048089394794598558511424812216.67%10100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
10IOWA Wild210000015411000000123-11100000031230.750591400145104808739479459855874216356116.67%30100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
11LAVAL Rocket413000001015-52020000028-62110000087120.25010182810145104808779479459855813150144813215.38%60100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
12LEHIGH VALLEY Phantoms1010000004-4000000000001010000004-400.000000001451048081994794598558365213500.00%10100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
13MANITOBA Moose20000110880100000104311000010045-130.750812200014510480893947945985587212244400.00%10100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
14MILWAUKEE Admirals21000100541210001005410000000000030.750581300145104808569479459855862141032300.00%4175.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
15ONTARIO Reign210000018801000000145-11100000043130.7508142200145104808929479459855868208264125.00%4250.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
16PROVIDENCE Bruins523000001217-531200000711-42110000056-140.400122234101451048081609479459855814642206522313.64%8187.50%01163221652.48%1018235143.30%586117250.00%192814641706463848436
17ROCKFORD IceHogs330000002471711000000927220000001551061.0002437610014510480811094794598558942914435240.00%7271.43%01163221652.48%1018235143.30%586117250.00%192814641706463848436
18SAN ANTONIO Rampage32100000179822000000155101010000024-240.667172845001451048089894794598558120306406233.33%30100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
19SAN DIEGO Gulls33000000382361100000012012220000002622461.000386910702145104808262947945985582494255120.00%20100.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
20SCRANTON Penguins21100000440110000003211010000012-120.500471100145104808519479459855861288201000.00%4175.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
21STOCKTON Flames2020000026-41010000002-21010000024-200.0002350014510480847947945985587019434700.00%000.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
22SYRACUSE Crunch4310000012102220000005232110000078-160.750121729001451048081299479459855813535365119315.79%11190.91%01163221652.48%1018235143.30%586117250.00%192814641706463848436
23TORONTO Marlies3110001014953110001014950000000000040.6671423370014510480815394794598558952814588225.00%7271.43%01163221652.48%1018235143.30%586117250.00%192814641706463848436
24TUSCON Roadrunners63200010301515320000102061431200000109180.667304979001451048082249479459855821557306518422.22%13192.31%01163221652.48%1018235143.30%586117250.00%192814641706463848436
25UTICA Comets622001011718-13100010197231200000811-360.500172946001451048081619479459855820772228131412.90%11281.82%01163221652.48%1018235143.30%586117250.00%192814641706463848436
Total7442210143333318614738208013331749282362213001001599465990.66933354788026145104808289794794598558224765329011222444116.80%1261984.92%11163221652.48%1018235143.30%586117250.00%192814641706463848436
_Since Last GM Reset7442210143333318614738208013331749282362213001001599465990.66933354788026145104808289794794598558224765329011222444116.80%1261984.92%11163221652.48%1018235143.30%586117250.00%192814641706463848436
_Vs Conference4525150022121312192241270022111965542113800000945638570.6332133555682314510480816479479459855814094171745991462919.86%801285.00%01163221652.48%1018235143.30%586117250.00%192814641706463848436
_Vs Division21138001211084959107300121482028116500000602931320.762108186294041451048089259479459855861618972293661015.15%32584.38%11163221652.48%1018235143.30%586117250.00%192814641706463848436

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7499L133354788028972247653290112226
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7442211433333186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38208133317492
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
362213010015994
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2444116.80%1261984.92%1
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
94794598558145104808
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
1163221652.48%1018235143.30%586117250.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
192814641706463848436


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 Bears7TUSCON Roadrunners2WSommaire du Match
4 - 2021-01-2033TUSCON Roadrunners1HERSEY Bears11WSommaire du Match
6 - 2021-01-2250HERSEY Bears4BROOKLYN Wolfpack1WSommaire du Match
7 - 2021-01-2364SAN ANTONIO Rampage3HERSEY Bears9WSommaire du Match
8 - 2021-01-2478BINGHAMTON Devils1HERSEY Bears3WSommaire du Match
10 - 2021-01-2692HERSEY Bears2PROVIDENCE Bruins4LSommaire du Match
12 - 2021-01-28106UTICA Comets1HERSEY Bears5WSommaire du Match
14 - 2021-01-30116HERSEY Bears4COLORADO Eagles3WSommaire du Match
15 - 2021-01-31126HERSEY Bears3SYRACUSE Crunch2WSommaire du Match
16 - 2021-02-01141TORONTO Marlies2HERSEY Bears8WSommaire du Match
17 - 2021-02-02148HERSEY Bears5UTICA Comets2WSommaire du Match
19 - 2021-02-04164PROVIDENCE Bruins1HERSEY Bears3WSommaire du Match
20 - 2021-02-05180HERSEY Bears2TUSCON Roadrunners4LSommaire du Match
21 - 2021-02-06188HERSEY Bears3BROOKLYN Wolfpack2WSommaire du Match
23 - 2021-02-08200SYRACUSE Crunch1HERSEY Bears2WSommaire du Match
25 - 2021-02-10218HERSEY Bears1SCRANTON Penguins2LSommaire du Match
26 - 2021-02-11227HERSEY Bears4ONTARIO Reign3WSommaire du Match
27 - 2021-02-12234TUSCON Roadrunners4HERSEY Bears5WXXSommaire du Match
29 - 2021-02-14256CHICAGO Wolves3HERSEY Bears2LXSommaire du Match
30 - 2021-02-15266SAN DIEGO Gulls0HERSEY Bears12WSommaire du Match
31 - 2021-02-16280HERSEY Bears0BINGHAMTON Devils1LSommaire du Match
33 - 2021-02-18296UTICA Comets4HERSEY Bears3LXSommaire du Match
34 - 2021-02-19309SCRANTON Penguins2HERSEY Bears3WSommaire du Match
36 - 2021-02-21318HERSEY Bears5CHICAGO Wolves3WSommaire du Match
37 - 2021-02-22335HERSEY Bears1UTICA Comets5LSommaire du Match
39 - 2021-02-24344HERSEY Bears14SAN DIEGO Gulls0WSommaire du Match
40 - 2021-02-25358BAKERSFIELD Condors0HERSEY Bears3WSommaire du Match
42 - 2021-02-27370MANITOBA Moose3HERSEY Bears4WXXSommaire du Match
43 - 2021-02-28387HERSEY Bears12SAN DIEGO Gulls2WSommaire du Match
45 - 2021-03-02397ONTARIO Reign5HERSEY Bears4LXXSommaire du Match
46 - 2021-03-03407HERSEY Bears10CAROLINA Checkers3WSommaire du Match
48 - 2021-03-05426HERSEY Bears10BAKERSFIELD Condors0WSommaire du Match
49 - 2021-03-06438BINGHAMTON Devils3HERSEY Bears4WSommaire du Match
50 - 2021-03-07448HERSEY Bears3BRIDGEPORT Sound Tigers1WSommaire du Match
52 - 2021-03-09463UTICA Comets2HERSEY Bears1LXXSommaire du Match
53 - 2021-03-10475PROVIDENCE Bruins4HERSEY Bears2LSommaire du Match
55 - 2021-03-12492HERSEY Bears5LAVAL Rocket2WSommaire du Match
56 - 2021-03-13501PROVIDENCE Bruins6HERSEY Bears2LSommaire du Match
57 - 2021-03-14516HERSEY Bears3COLORADO Eagles5LSommaire du Match
59 - 2021-03-16528HERSEY Bears3PROVIDENCE Bruins2WSommaire du Match
60 - 2021-03-17541BELLEVILLE Senators1HERSEY Bears10WSommaire du Match
62 - 2021-03-19555HERSEY Bears6BELLEVILLE Senators1WSommaire du Match
63 - 2021-03-20568SYRACUSE Crunch1HERSEY Bears3WSommaire du Match
64 - 2021-03-21579HERSEY Bears4MANITOBA Moose5LXSommaire du Match
65 - 2021-03-22592BRIDGEPORT Sound Tigers4HERSEY Bears3LSommaire du Match
66 - 2021-03-23601HERSEY Bears2STOCKTON Flames4LSommaire du Match
68 - 2021-03-25616STOCKTON Flames2HERSEY Bears0LSommaire du Match
69 - 2021-03-26627HERSEY Bears5ROCKFORD IceHogs3WSommaire du Match
71 - 2021-03-28643IOWA Wild3HERSEY Bears2LXXSommaire du Match
73 - 2021-03-30660ROCKFORD IceHogs2HERSEY Bears9WSommaire du Match
75 - 2021-04-01676COLORADO Eagles5HERSEY Bears4LSommaire du Match
77 - 2021-04-03689HERSEY Bears0LEHIGH VALLEY Phantoms4LSommaire du Match
78 - 2021-04-04698HERSEY Bears3IOWA Wild1WSommaire du Match
79 - 2021-04-05709HERSEY Bears2UTICA Comets4LSommaire du Match
80 - 2021-04-06721GRAND RAPIDS Griffins2HERSEY Bears3WXSommaire du Match
81 - 2021-04-07734HERSEY Bears3BROOKLYN Wolfpack0WSommaire du Match
83 - 2021-04-09747TORONTO Marlies3HERSEY Bears4WXXSommaire du Match
85 - 2021-04-11763TUSCON Roadrunners1HERSEY Bears4WSommaire du Match
87 - 2021-04-13775HERSEY Bears9CAROLINA Checkers1WSommaire du Match
88 - 2021-04-14788HERSEY Bears4SYRACUSE Crunch6LSommaire du Match
89 - 2021-04-15797MILWAUKEE Admirals3HERSEY Bears2LXSommaire du Match
91 - 2021-04-17811HERSEY Bears10ROCKFORD IceHogs2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19824BROOKLYN Wolfpack1HERSEY Bears9WSommaire du Match
94 - 2021-04-20845BROOKLYN Wolfpack3HERSEY Bears10WSommaire du Match
96 - 2021-04-22856HERSEY Bears1TUSCON Roadrunners3LSommaire du Match
97 - 2021-04-23865HERSEY Bears3LAVAL Rocket5LSommaire du Match
98 - 2021-04-24876LAVAL Rocket4HERSEY Bears0LSommaire du Match
99 - 2021-04-25890HERSEY Bears4GRAND RAPIDS Griffins2WSommaire du Match
100 - 2021-04-26899HERSEY Bears2SAN ANTONIO Rampage4LSommaire du Match
101 - 2021-04-27908MILWAUKEE Admirals1HERSEY Bears3WSommaire du Match
103 - 2021-04-29927CAROLINA Checkers0HERSEY Bears12WSommaire du Match
106 - 2021-05-02948SAN ANTONIO Rampage2HERSEY Bears6WSommaire du Match
108 - 2021-05-04965LAVAL Rocket4HERSEY Bears2LSommaire du Match
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
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,390,015$ 1,380,000$ 1,215,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,390,015$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 9 11,695$ 105,255$




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
3674422101433333186147382080133317492823622130010015994659933354788026145104808289794794598558224765329011222444116.80%1261984.92%11163221652.48%1018235143.30%586117250.00%192814641706463848436
Total Saison Régulière234112770158157813532281118563209511542627615011656450634238725613129981314032216626347238198347575244925252503188633117511168360678213116.75%4988782.53%73871731852.90%3330707347.08%1736346650.09%616345225190155728531479
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