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Connexion

Bears
GP: 82 | W: 12 | L: 68 | OTL: 2 | P: 26
GF: 181 | GA: 554 | PP%: 5.61% | PK%: 68.28%
DG: Paul | Morale : 50 | Moyenne d’équipe : 56

Centre de jeu
Bears
12-68-2, 26pts
0
FINAL
6 Wranglers
59-21-2, 120pts
Team Stats
L15SéquenceW2
8-32-1Fiche domicile27-12-2
4-36-1Fiche domicile32-9-0
0-10-0Derniers 10 matchs6-4-0
2.21Buts par match 4.74
6.76Buts contre par match 1.84
5.61%Pourcentage en avantage numérique20.05%
68.28%Pourcentage en désavantage numérique87.75%
Bears
12-68-2, 26pts
4
FINAL
6 Gulls
4-77-1, 9pts
Team Stats
L15SéquenceW1
8-32-1Fiche domicile2-38-1
4-36-1Fiche domicile2-39-0
0-10-0Derniers 10 matchs1-9-0
2.21Buts par match 1.49
6.76Buts contre par match 7.29
5.61%Pourcentage en avantage numérique8.84%
68.28%Pourcentage en désavantage numérique68.50%
Meneurs d'équipe
Buts
Tyler Madden
54
Passes
Helge Grans
21
Points
Tyler Madden
71
Plus/Moins
Jamieson Rees
-31

Statistiques d’équipe
Buts pour
181
2.21 GFG
Tirs pour
1792
21.85 Avg
Pourcentage en avantage numérique
5.6%
16 GF
Début de zone offensive
31.6%
Buts contre
554
6.76 GAA
Tirs contre
3390
41.34 Avg
Pourcentage en désavantage numérique
68.3%%
59 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralPaul
EntraîneurDerek Plante
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,924
Billets de saison0


Informations de la formation

Équipe Pro8
Équipe Mineure20
Limite contact 28 / 51
Espoirs18


Historique d'équipe

Saison actuelle12-68-2 (26PTS)
Historique12-68-2 (0.146%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Oskar Olausson (R)X100.007468876768747956505057625444446150590232863,333$
2Francesco Pinelli (R)X100.007370816470565656705058625544445950570233950,000$
3Tyler MaddenX100.007163916663555559745954615144446050570261775,000$
4Jamieson ReesX100.007466916366474652655347614544445550540251910,833$
5Blade Jenkins (R)X100.007773876473494950504946624444445450540253775,000$
6Helge Grans (R)X100.0079788167788088502541456343444457506202311,300,000$
7Carter Berger (R)X100.008275998075323041252839623744445050550263950,000$
Rayé
MOYENNE D’ÉQUIPE100.00767088677056585251474962474444575057
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 SPÂgeContratSalaire
1Jean-Francois Berube100.0047475966464850535050304747495051N0341775,000$
Rayé
MOYENNE D’ÉQUIPE100.0047475966464850535050304747495051
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Plante70626069797470USA533600,000$


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
1Tyler MaddenBears (WSH)C82541771-8171151991982999923018.06%106134816.45011123000002265.38%26000051.05122101352
2Jamieson ReesBears (WSH)C8228735-315201191342155915113.02%5885810.4600000000001161.73%87800010.8212000249
3Helge GransBears (WSH)D8282129-347401907444172518.18%747649.320000000000000%000000.7611000076
Statistiques d’équipe totales ou en moyenne2469045135-1461971550840655817540616.13%238297012.08011123000003362.57%113800060.9135210151617
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


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Blade JenkinsBears (WSH)LW252000-08-11USAYes195 Lbs6 ft2NoNoAssign ManuallyNoYes32025-08-15FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Carter BergerBears (WSH)D261999-09-17CANYes206 Lbs6 ft1NoNoAssign ManuallyNoYes32025-08-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Francesco PinelliBears (WSH)C232003-04-11ONTYes190 Lbs6 ft0NoNoAssign ManuallyNoNo32025-08-15FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Helge GransBears (WSH)D232002-05-10SWEYes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Jamieson ReesBears (WSH)C252001-02-26ONTNo186 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm910,833$0$0$No---------------------------Lien
Jean-Francois BerubeBears (WSH)G341991-07-13QUENo177 Lbs6 ft1YesNoFree AgentNoYes12025-08-27FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Oskar OlaussonBears (WSH)RW232002-11-10SWEYes180 Lbs6 ft1NoNoAssign ManuallyNoNo22024-06-30FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Tyler MaddenBears (WSH)C261999-11-09USANo170 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
825.63189 Lbs6 ft11.88912,396$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Tyler Madden30122
3Jamieson Rees20122
4Tyler Madden10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Helge Grans20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Tyler Madden40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamieson Rees, , Jamieson Rees,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Helge Grans, , Helge Grans,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Jamieson Rees, Tyler Madden, , ,
Lignes de défense personnalisées en prolongation
, , , , Helge Grans


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
TotalDomicileVisiteur
# 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
1 Americans20200000215-131010000017-61010000018-700.0002460066526142656960060624731812307114.29%5260.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
2Admirals2020000058-31010000035-21010000023-100.0005914006652614605696006062468171037600.00%5260.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
3Barracuda30300000216-141010000015-420200000111-1000.000246006652614385696006062486318431616.25%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
4Bruins40400000332-2920200000017-1720200000315-1200.00036900665261454569600606242065818521600.00%7271.43%0582166434.98%713218032.71%504142835.29%13048982738573891355
5Canucks30300000225-231010000017-620200000118-1700.00023500665261432569600606241462810331300.00%5180.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
6Checkers40400000424-2020200000111-1020200000313-1000.000481200665261456569600606241144027321815.56%10460.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
7Comets20200000315-121010000029-71010000016-500.00035800665261463569600606249432645300.00%3233.33%0582166434.98%713218032.71%504142835.29%13048982738573891355
8Condors20200000119-181010000019-810100000010-1000.00012300665261421569600606241002727277114.29%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
9Crunch20200000016-161010000008-81010000008-800.00000000665261416569600606247312619800.00%20100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
10Eagles20200000016-161010000005-510100000011-1100.00000000665261422569600606248219823800.00%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
11Firebirds20100010111101010000034-11000001087120.5001120310066526141365696006062463194423133.33%20100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
12Griffins20100100518-131000010056-110100000012-1210.2505914006652614605696006062486161043700.00%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
13Gulls21100000990110000005321010000046-220.5009152400665261491569600606249029860200.00%20100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
14Ice Hogs220000001284110000005411100000074341.000122234006652614855696006062469151339000%3233.33%0582166434.98%713218032.71%504142835.29%13048982738573891355
15Islanders541000003519163300000018810211000001711680.80035651000066526142845696006062418457201018112.50%10370.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
16Marlies20200000513-81010000017-61010000046-200.00059140066526142956960060624712310198112.50%5260.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
17Monsters20200000316-131010000025-310100000111-1000.000358006652614275696006062410217831600.00%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
18Moose20200000412-81010000036-31010000016-500.00048120066526143256960060624722627241119.09%11281.82%0582166434.98%713218032.71%504142835.29%13048982738573891355
19Penguins412010001522-721100000612-620101000910-140.5001530450066526141145696006062417229168311218.18%8275.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
20Phantoms40400000825-1720200000313-1020200000512-700.0008162400665261447569600606241504122522129.52%10370.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
21Reign20200000417-1310100000110-91010000037-400.00046100066526142556960060624712810311100.00%4175.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
22Roadrunners21000001972110000006331000000134-130.75091827006652614795696006062475298573133.33%40100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
23Rocket20200000316-131010000019-81010000027-500.000369006652614315696006062480191024800.00%50100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
24Senators40400000528-2320200000412-820200000116-1500.000591400665261448569600606241766020492000.00%9366.67%0582166434.98%713218032.71%504142835.29%13048982738573891355
25Silver Knights20200000117-161010000007-710100000110-900.00012300665261429569600606249226622800.00%30100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
26Stars20200000717-101010000048-41010000039-600.000711180066526144756960060624133341441400.00%7357.14%0582166434.98%713218032.71%504142835.29%13048982738573891355
27Thunderbirds2110000010100110000007611010000034-120.500101828006652614765696006062489216377228.57%30100.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
28Wild20200000315-121010000018-71010000027-500.0003580066526142856960060624106181631900.00%7185.71%0582166434.98%713218032.71%504142835.29%13048982738573891355
29Wolf Pack50500000246-4430300000122-2120200000124-2300.00024600665261459569600606242207132481715.88%13653.85%0582166434.98%713218032.71%504142835.29%13048982738573891355
30Wolves40400000728-2120200000117-1620200000611-500.0007132000665261452569600606241715041531300.00%211147.62%0582166434.98%713218032.71%504142835.29%13048982738573891355
31Wranglers20200000114-131010000018-71010000006-600.000123006652614255696006062476221115600.00%220.00%0582166434.98%713218032.71%504142835.29%13048982738573891355
Total82106801111181554-373418320010088261-173412360101193293-200260.15918133451500665261417925696006062433909324441243285165.61%1865968.28%0582166434.98%713218032.71%504142835.29%13048982738573891355
_Since Last GM Reset82106801111181554-373418320010088261-173412360101193293-200260.15918133451500665261417925696006062433909324441243285165.61%1865968.28%0582166434.98%713218032.71%504142835.29%13048982738573891355
_Vs Conference4954201100100343-243254200010046163-117241220100054180-126130.13310018828800665261497256960060624204555325668417784.52%1164164.66%0582166434.98%713218032.71%504142835.29%13048982738573891355
_Vs Division265240100073171-9814412000003386-5312112010004085-45120.231731382110066526146465696006062410932971454137967.59%692859.42%0582166434.98%713218032.71%504142835.29%13048982738573891355

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8226L1518133451517923390932444124300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8210681111181554
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41832010088261
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41236101193293
Derniers 10 matchs
WLOTWOTL SOWSOL
0100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
285165.61%1865968.28%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
569600606246652614
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
582166434.98%713218032.71%504142835.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13048982738573891355


Derniers matchs 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
16Wolf Pack9Bears0LSommaire du match
535Islanders1Bears6WSommaire du match
750Bears0Barracuda7LSommaire du match
969Bruins7Bears0LSommaire du match
1289Bears1Checkers7LSommaire du match
14100Phantoms8Bears2LSommaire du match
18129Senators8Bears1LSommaire du match
20142Bears0Senators10LSommaire du match
22160Wolves9Bears1LSommaire du match
25176Bears6Islanders7LSommaire du match
27192Bears3Phantoms4LSommaire du match
28198Wolf Pack3Bears1LSommaire du match
31225Penguins5Bears6WSommaire du match
32233Bears0Canucks10LSommaire du match
36255Bears3Penguins5LSommaire du match
37262Islanders3Bears5WSommaire du match
40287Bears1Barracuda4LSommaire du match
41294Wild8Bears1LSommaire du match
44314Bears1Senators6LSommaire du match
45324Thunderbirds6Bears7WSommaire du match
49353Canucks7Bears1LSommaire du match
51366Bears6Penguins5WXSommaire du match
54384Bears3Thunderbirds4LSommaire du match
55391Phantoms5Bears1LSommaire du match
58415Bears1Monsters11LSommaire du match
59424 Americans7Bears1LSommaire du match
62451Griffins6Bears5LXSommaire du match
64466Bears11Islanders4WSommaire du match
67484Comets9Bears2LSommaire du match
70510Bears1Comets6LSommaire du match
71516Marlies7Bears1LSommaire du match
74537Bears3Roadrunners4LXXSommaire du match
76548Admirals5Bears3LSommaire du match
78562Bears7Ice Hogs4WSommaire du match
80578Bears0Crunch8LSommaire du match
81586Wolf Pack10Bears0LSommaire du match
84611Moose6Bears3LSommaire du match
89642Gulls3Bears5WSommaire du match
92673Firebirds4Bears3LSommaire du match
94688Bears0Bruins9LSommaire du match
96704Reign10Bears1LSommaire du match
98712Bears8Firebirds7WXXSommaire du match
100733Bears2Admirals3LSommaire du match
101738Bruins10Bears0LSommaire du match
104762Bears3Bruins6LSommaire du match
105772Wranglers8Bears1LSommaire du match
110802Islanders4Bears7WSommaire du match
112812Bears1 Americans8LSommaire du match
114833Bears1Silver Knights10LSommaire du match
115836Roadrunners3Bears6WSommaire du match
118860Bears3Reign7LSommaire du match
120869Wolves8Bears0LSommaire du match
122886Bears1Canucks8LSommaire du match
124900Eagles5Bears0LSommaire du match
126914Bears2Rocket7LSommaire du match
129931Senators4Bears3LSommaire du match
133963Penguins7Bears0LSommaire du match
136985Bears3Wolves6LSommaire du match
137995Barracuda5Bears1LSommaire du match
1411019Bears2Phantoms8LSommaire du match
1421029Rocket9Bears1LSommaire du match
1451046Bears2Wild7LSommaire du match
1461058Monsters5Bears2LSommaire du match
1491075Bears2Checkers6LSommaire du match
1501088Crunch8Bears0LSommaire du match
1521103Bears0Eagles11LSommaire du match
1551123Ice Hogs4Bears5WSommaire du match
1561128Bears0Griffins12LSommaire du match
1591151Bears0Wolf Pack12LSommaire du match
1601156Condors9Bears1LSommaire du match
1621175Bears3Wolves5LSommaire du match
1631186Stars8Bears4LSommaire du match
1671207Bears1Wolf Pack12LSommaire du match
1681218Checkers6Bears0LSommaire du match
1691223Bears1Moose6LSommaire du match
1721250Checkers5Bears1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731254Bears3Stars9LSommaire du match
1751269Bears0Condors10LSommaire du match
1771282Bears4Marlies6LSommaire du match
1781288Silver Knights7Bears0LSommaire du match
1791292Bears0Wranglers6LSommaire du match
1801299Bears4Gulls6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,31738,576
Assistance PCT99.17%94.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2924 - 97.47% 69,417$2,846,095$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,385,785$ 729,916$ 729,916$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,967$ 785,761$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,228$ 0$




Bears Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tyler Madden82541771-817119919829918.06%106134816.45011100002265.38%51.0512
2Jamieson Rees8228735-315211913421513.02%5885810.46000000001161.73%10.8212
3Helge Grans8282129-3474190744418.18%747649.3200000000000%00.7611

Bears Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
202582106801111181554-373418320010088261-173412360101193293-2002618133451500665261417925696006062433909324441243285165.61%1865968.28%0582166434.98%713218032.71%504142835.29%13048982738573891355
Total Saison régulière82106801111181554-373418320010088261-173412360101193293-2002618133451500665261417925696006062433909324441243285165.61%1865968.28%0582166434.98%713218032.71%504142835.29%13048982738573891355
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Bears Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA