ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH

Bears

GP: 49 | W: 20 | L: 25 | OTL: 4 | P: 44
GF: 145 | GA: 181 | PP%: 18.35% | PK%: 79.73%
DG: | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #784 vs Rampage
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 SPÂgeContratSalaire
1Chris MuellerX100.00584887627286876165606359628474050630331700,000$
2Mike VecchioneX100.00554789606988896166585956617367050610261700,000$
3Philipp KurashevX100.00584188617278775971605659606163053600193925,000$
4Brandon DuhaimeX100.00635877587787895653575455586563050590222925,000$
5Tyler SteenbergenX100.00534287605987855956585552606362056590212875,000$
6Johan SodergranX100.00694486548583825351525256546159050580193791,667$
7Christopher BrownX100.00544189527073685158505053516764050560231650,000$
8Yannick WeberX100.00713985647273786230635661528073043630311675,000$
9Brogan RaffertyX100.00614389647386886330665457486965050620242700,000$
10Brian LashoffX100.00664788598681725830575661527868050620292700,000$
11Andreas EnglundX100.00635182588180775730565659516764056600231700,000$
Rayé
MOYENNE D'ÉQUIPE100.0061468659748281584958565755706605160
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
1Collin Delia100.0076747282757476757476757175050660
2Veini Vehvilainen100.0071828071706971706971706569050630
Rayé
1Brad Thiessen100.0065666470646365646365648488050610
MOYENNE D'ÉQUIPE100.007174727470697170697170737705063
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Chris MuellerBears (WSH)C4628336194064186315952168.89%44104722.762101238890001775054.14%126700121.1703000511
2Brian LashoffBears (WSH)D4914455912280208105133557710.53%158113923.26411154696000056220.00%000011.0400000237
3Mike VecchioneBears (WSH)C49243155917552208254741909.45%31104421.3324622840003722253.23%122300001.0503010251
4Brandon DuhaimeBears (WSH)RW462024441036101041022007015810.00%1578417.06641029910000251143.55%6200101.1202002042
5Brogan RaffertyBears (WSH)D4662834-192401298410526615.71%11889819.530333475000038200.00%000000.7600000011
6Johan SodergranBears (WSH)RW46112233112209655145361167.59%2670415.322132073000001149.21%6300000.9412000223
7Christopher BrownBears (WSH)C4612152711403862104287811.54%2290719.731011173000003146.99%41500000.6000000001
8Tyler SteenbergenBears (WSH)LW947114608174513278.89%415016.710221330000021055.68%8800011.4600000101
9Philipp KurashevBears (WSH)C4336400142021101814.29%97318.4800010000051156.00%7500001.6200000101
10Andreas EnglundBears (WSH)D6235040128101620.00%610016.7011231300005000.00%000001.0000000010
11Tim HeedCapitalsD4314-10046123425.00%139423.7221371600009000.00%000010.8400000100
Stats d'équipe Total ou en Moyenne351127212339501451572985313444119519.45%446694619.79203757224646000429118852.65%319300250.98110012141718
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
1Collin DeliaBears (WSH)49202340.9243.64270310116421590010.800154901045
2Veini VehvilainenBears (WSH)60200.9393.3325200142290000.0000046000
Stats d'équipe Total ou en Moyenne55202540.9253.61295610117823880010.8001549461045


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 Cap 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
Andreas EnglundBears (WSH)D231996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Brad ThiessenBears (WSH)G331986-03-19No180 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Brandon DuhaimeBears (WSH)RW221997-05-22No200 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brian LashoffBears (WSH)D291990-07-16No213 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Brogan RaffertyBears (WSH)D241995-05-28No195 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Chris MuellerBears (WSH)C331986-03-06No196 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Christopher BrownBears (WSH)C231996-02-22No179 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Collin DeliaBears (WSH)G251994-06-20No208 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Johan SodergranBears (WSH)RW191999-11-20No205 Lbs6 ft3NoNoNo3Pro & Farm791,667$0$0$No791,667$791,667$Lien
Mike VecchioneBears (WSH)C261993-02-25No194 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Philipp KurashevBears (WSH)C191999-10-12No190 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Tyler SteenbergenBears (WSH)LW211998-01-07No188 Lbs5 ft1NoNoNo2Pro & Farm875,000$0$0$No875,000$Lien / Lien NHL
Veini VehvilainenBears (WSH)G221997-02-13No181 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Yannick WeberBears (WSH)D311988-09-23No200 Lbs5 ft11NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1425.00194 Lbs6 ft01.79779,762$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris MuellerBrandon Duhaime30122
2Christopher BrownMike VecchioneJohan Sodergran30122
325122
4Chris MuellerChristopher BrownMike Vecchione15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian Lashoff30122
2Brogan Rafferty30122
325122
4Brian Lashoff15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris MuellerBrandon Duhaime60122
2Christopher BrownMike VecchioneJohan Sodergran40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian Lashoff60122
2Brogan Rafferty40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris MuellerMike Vecchione60122
2Brandon Duhaime40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian Lashoff60122
2Brogan Rafferty40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Mueller60122Brian Lashoff60122
2Mike Vecchione40122Brogan Rafferty40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris MuellerMike Vecchione60122
2Brandon Duhaime40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brian Lashoff60122
2Brogan Rafferty40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris MuellerBrandon DuhaimeBrian Lashoff
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris MuellerBrandon DuhaimeBrian Lashoff
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Johan Sodergran, , Johan Sodergran
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brogan Rafferty, , Brogan Rafferty,
Tirs de Pénalité
Chris Mueller, Mike Vecchione, , Brandon Duhaime,
Gardien
#1 : Collin Delia, #2 : Veini Vehvilainen


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
1Americans1010000023-1000000000001010000023-100.00024600494055228638521591215713015000.00%000.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
2Barracuda20200000510-51010000024-21010000036-300.00058130049405526563852159121913412275120.00%6350.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
3Bruins11000000431110000004310000000000021.000481200494055233638521591213298182150.00%30100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
4Checkers2110000046-2110000004311010000003-320.50047110049405527463852159121102328443133.33%4175.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
5Comets11000000909110000009090000000000021.000916250149405529263852159121378027100.00%000.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
6Condors11000000514000000000001100000051421.0005101500494055287638521591213114020000.00%000.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
7Crunch30100200813-51000010034-12010010059-420.333814220049405528863852159121172437734125.00%10100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
8Devils20200000710-31010000034-11010000046-200.0007132000494055210263852159121123270415240.00%000.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
9Eagles2010000159-4000000000002010000159-410.2505101500494055259638521591211093612383266.67%6183.33%0727164544.19%911219741.47%35582043.29%9566681422340578263
10Griffins421000011414031100001911-21100000053250.6251424380049405521486385215912119071128010110.00%50100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
11Gulls1010000048-41010000048-40000000000000.0004711004940552616385215912154192332150.00%10100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
12IceHogs11000000422000000000001100000042221.000471100494055226638521591215220222100.00%110.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
13Marlies2110000059-4110000004221010000017-620.500571200494055270638521591219636632300.00%30100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
14Monsters11000000211000000000001100000021121.00023500494055227638521591213515015200.00%000.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
15Moose2110000079-21010000006-61100000073420.500712190049405528863852159121103371051100.00%4175.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
16Phantoms1010000013-21010000013-20000000000000.00011200494055234638521591213911226100.00%10100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
17Reign422000001012-2321000001011-11010000001-140.5001020300049405521146385215912120146107515213.33%5340.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
18Roadrunners2020000059-41010000013-21010000046-200.00051015004940552606385215912111448650600.00%30100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
19Rocket321000001011-11010000015-42200000096340.667102030004940552956385215912113835126711327.27%5180.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
20Senators21100000611-51010000018-71100000053220.5006915004940552636385215912111931759100.00%110.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
21Sound Tigers2110000057-21010000016-51100000041320.50051015004940552716385215912191228448112.50%40100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
22Stars1010000004-41010000004-40000000000000.00000000494055231638521591215612623200.00%30100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
23Thunderbirds11000000624000000000001100000062421.000681400494055264638521591212964185120.00%20100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
Total49192500212145181-3625914001016796-29241011001117885-7440.449145255400114940552175663852159121238972017310721092018.35%741579.73%0727164544.19%911219741.47%35582043.29%9566681422340578263
24Wild2020000018-71010000002-21010000016-500.0001120049405523563852159121114351256100.00%6183.33%0727164544.19%911219741.47%35582043.29%9566681422340578263
25Wolf Pack312000001013-32110000078-11010000035-220.333101727104940552926385215912112840148911327.27%6266.67%0727164544.19%911219741.47%35582043.29%9566681422340578263
26Wolves21000010633110000003121000001032141.0006915004940552496385215912176201329600.00%40100.00%0727164544.19%911219741.47%35582043.29%9566681422340578263
_Since Last GM Reset49192500212145181-3625914001016796-29241011001117885-7440.449145255400114940552175663852159121238972017310721092018.35%741579.73%0727164544.19%911219741.47%35582043.29%9566681422340578263
_Vs Conference241012002007791-141256001003846-81256001003945-6220.4587713421111494055290663852159121116331376553551323.64%30583.33%0727164544.19%911219741.47%35582043.29%9566681422340578263
_Vs Division1155000002940-11633000001624-8522000001316-3100.455295180104940552400638521591215181473225930723.33%15380.00%0727164544.19%911219741.47%35582043.29%9566681422340578263

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4944L314525540017562389720173107211
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4919250212145181
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2591401016796
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
24101101117885
Derniers 10 Matchs
WLOTWOTL SOWSOL
450010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1092018.35%741579.73%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
638521591214940552
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
727164544.19%911219741.47%35582043.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9566681422340578263


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
3 - 2020-10-0719Griffins4Bears2LSommaire du Match
5 - 2020-10-0934Reign5Bears1LSommaire du Match
6 - 2020-10-1042Bears6Thunderbirds2WSommaire du Match
9 - 2020-10-1365Bears4Sound Tigers1WSommaire du Match
11 - 2020-10-1577Bruins3Bears4WSommaire du Match
14 - 2020-10-1894Wolf Pack3Bears5WSommaire du Match
16 - 2020-10-20112Bears4Rocket3WSommaire du Match
18 - 2020-10-22128Griffins4Bears5WSommaire du Match
20 - 2020-10-24144Bears3Eagles6LSommaire du Match
22 - 2020-10-26157Bears4Devils6LSommaire du Match
24 - 2020-10-28169Senators8Bears1LSommaire du Match
26 - 2020-10-30183Bears5Griffins3WSommaire du Match
28 - 2020-11-01197Checkers3Bears4WSommaire du Match
30 - 2020-11-03215Bears1Wild6LSommaire du Match
32 - 2020-11-05228Bears7Moose3WSommaire du Match
33 - 2020-11-06241Reign3Bears5WSommaire du Match
37 - 2020-11-10261Barracuda4Bears2LSommaire du Match
40 - 2020-11-13284Phantoms3Bears1LSommaire du Match
42 - 2020-11-15301Bears4Roadrunners6LSommaire du Match
44 - 2020-11-17317Bears2Eagles3LXXSommaire du Match
45 - 2020-11-18324Sound Tigers6Bears1LSommaire du Match
48 - 2020-11-21345Roadrunners3Bears1LSommaire du Match
50 - 2020-11-23362Bears2Americans3LSommaire du Match
52 - 2020-11-25376Devils4Bears3LSommaire du Match
54 - 2020-11-27396Bears0Checkers3LSommaire du Match
56 - 2020-11-29406Marlies2Bears4WSommaire du Match
57 - 2020-11-30420Bears2Crunch3LXSommaire du Match
59 - 2020-12-02437Wolf Pack5Bears2LSommaire du Match
62 - 2020-12-05452Bears1Marlies7LSommaire du Match
65 - 2020-12-08474Rocket5Bears1LSommaire du Match
69 - 2020-12-12499Reign3Bears4WSommaire du Match
71 - 2020-12-14520Bears5Senators3WSommaire du Match
72 - 2020-12-15527Bears5Condors1WSommaire du Match
74 - 2020-12-17537Crunch4Bears3LXSommaire du Match
77 - 2020-12-20562Stars4Bears0LSommaire du Match
79 - 2020-12-22572Bears4IceHogs2WSommaire du Match
82 - 2020-12-25593Gulls8Bears4LSommaire du Match
84 - 2020-12-27608Bears3Barracuda6LSommaire du Match
86 - 2020-12-29623Griffins3Bears2LXXSommaire du Match
88 - 2020-12-31645Bears5Rocket3WSommaire du Match
90 - 2021-01-02653Moose6Bears0LSommaire du Match
92 - 2021-01-04671Bears0Reign1LSommaire du Match
94 - 2021-01-06686Wolves1Bears3WSommaire du Match
96 - 2021-01-08694Bears3Wolves2WXXSommaire du Match
98 - 2021-01-10709Bears2Monsters1WSommaire du Match
100 - 2021-01-12723Comets0Bears9WSommaire du Match
102 - 2021-01-14738Bears3Crunch6LSommaire du Match
103 - 2021-01-15753Wild2Bears0LSommaire du Match
105 - 2021-01-17768Bears3Wolf Pack5LSommaire du Match
108 - 2021-01-20784Rampage-Bears-
110 - 2021-01-22793Bears-Rampage-
113 - 2021-01-25816Senators-Bears-
116 - 2021-01-28840Bears-Admirals-
117 - 2021-01-29846Americans-Bears-
121 - 2021-02-02872Americans-Bears-
123 - 2021-02-04884Bears-Moose-
125 - 2021-02-06897Bears-Penguins-
127 - 2021-02-08909IceHogs-Bears-
129 - 2021-02-10929Bears-Penguins-
131 - 2021-02-12938Bruins-Bears-
135 - 2021-02-16965Heat-Bears-
137 - 2021-02-18980Bears-Bruins-
138 - 2021-02-19993Marlies-Bears-
141 - 2021-02-221017Bears-Gulls-
142 - 2021-02-231027Monsters-Bears-
144 - 2021-02-251035Bears-Phantoms-
146 - 2021-02-271050Bears-Griffins-
148 - 2021-03-011062Penguins-Bears-
150 - 2021-03-031080Bears-Sound Tigers-
152 - 2021-03-051093Checkers-Bears-
156 - 2021-03-091120Eagles-Bears-
159 - 2021-03-121144Bears-Devils-
160 - 2021-03-131153Thunderbirds-Bears-
165 - 2021-03-181182Monsters-Bears-
167 - 2021-03-201195Bears-Stars-
169 - 2021-03-221205Bears-Heat-
170 - 2021-03-231215Condors-Bears-
172 - 2021-03-251225Bears-Comets-
175 - 2021-03-281243Admirals-Bears-
177 - 2021-03-301247Bears-Phantoms-
179 - 2021-04-011258Bears-Wild-
180 - 2021-04-021268Bears-Thunderbirds-



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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
600,448$ 1,091,667$ 155,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 600,448$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 76 5,998$ 455,848$




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
282421903211529921584412390224114910643411910010741501094184299515814141059090202859931932945108211263492316103597019.50%3567778.37%81734290959.61%1513254359.50%779133258.48%2210156217315961066560
38235280147726022535411914002421331092441161401235127116117026045471404908280152821868932992792720858104917073096119.74%3985885.43%21381286248.25%1306297943.84%585127845.77%2035142219346021033514
482116600122232430-1984193000110120197-774123600012112233-1212223238361520858758326528639098682132899041210197756510017.70%51617166.86%2900287231.34%813271729.92%420138330.37%180112262160627980460
5824130023602682026641201801020123102214121120134014510045822684797471795858010273392189689240251472252420542004924.50%2143683.18%11342270249.67%1229267445.96%597125147.72%209115191869547997507
68257180213137222015241307000311981089041271102100174112621143726581030041361281036362511941205120827261377055521032135324.88%2224181.53%51830320057.19%1492280553.19%740134455.06%2206162317395401002517
7824524031633262408641278020401861077941181601123140133790326537863031261048711355111501143124048294988951620722156329.30%2215774.21%11932327259.05%1504296050.81%791135058.59%216915951809534992512
88248290221036729077412119001001671452241271002110200145559636763199802157110974390312961278131418329496434919031835127.87%1403277.14%11680314153.49%1489295250.44%727141651.34%214216121841512951482
88248290221036729077412119001001671452241271002110200145559636763199802157110974390312961278131418329496434919031835127.87%1403277.14%11680314153.49%1489295250.44%727141651.34%214216121841512951482
949192500212145181-3625914001016796-29241011001117885-744145255400114940552175663852159121238972017310721092018.35%741579.73%0727164544.19%911219741.47%35582043.29%9566681422340578263
Total Saison Régulière70534626801518382026362293343353179138058185131011151953521671300101020151326117814869826364543717952710008367477527803915790949364380251747425564816401233651822.17%228151977.25%21132062574451.30%117462477947.40%57211159049.36%177551284316351481485544301
Séries
218108000005452210640000032284844000002224-220549915310211416361020620417228580155253354791417.72%1041585.58%132963751.65%31363649.21%15328952.94%441300432137238119
540400000821-1320200000412-82020000049-50814220021501163245390170461412315213.33%7185.71%03411729.06%4814832.43%257135.21%8558108284622
640400000813-52020000036-32020000057-20814220013401594541522113061261031400.00%12283.33%110218754.55%9114961.07%426861.76%11377103346130
7251411000007177-61284000004635111367000002542-17287112319401212026479122326128423102830817261484910.71%751580.00%040786547.05%475103945.72%18739147.83%542370682189315149
8624000001316-331200000910-13120000046-241320330153502117257748243564213017635.29%19384.21%013223456.41%13123156.71%377847.44%13393158437234
Total Séries57263100000154179-252915140000094913281117000006088-2852154270424125041567188757860862180215162650713242093114.83%2173683.41%21004204049.22%1058220348.03%44489749.50%13168991484433735356