Connexion

Bears
GP: 58 | W: 39 | L: 17 | OTL: 2 | P: 80
GF: 253 | GA: 183 | PP%: 28.05% | PK%: 75.54%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #937 vs Reign
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Centre de jeu
American
30-24-5, 65pts
1
FINAL
3 Bears
39-17-2, 80pts
Team Stats
W1StreakW5
18-9-2Home Record20-7-2
12-15-3Away Record19-10-0
6-4-0Last 10 Games7-3-0
4.19Buts par match 4.36
3.83Buts contre par match 3.16
26.49%Pourcentage en avantage numérique28.05%
74.38%Pourcentage en désavantage numérique75.54%
Wolves
26-28-3, 55pts
3
FINAL
4 Bears
39-17-2, 80pts
Team Stats
W1StreakW5
15-13-2Home Record20-7-2
11-15-1Away Record19-10-0
7-2-1Last 10 Games7-3-0
4.19Buts par match 4.36
4.53Buts contre par match 3.16
35.40%Pourcentage en avantage numérique28.05%
75.76%Pourcentage en désavantage numérique75.54%
Bears
39-17-2, 80pts
2022-10-08
Reign
42-12-3, 87pts
Statistiques d’équipe
W5SéquenceW4
20-7-2Fiche domicile23-4-2
19-10-0Fiche visiteur19-8-1
7-3-010 derniers matchs8-2-0
4.36Buts par match 4.77
3.16Buts contre par match 4.77
28.05%Pourcentage en avantage numérique26.19%
75.54%Pourcentage en désavantage numérique79.72%
IceHogs
16-37-4, 36pts
2022-10-10
Bears
39-17-2, 80pts
Statistiques d’équipe
L4SéquenceW5
11-17-1Fiche domicile20-7-2
5-20-3Fiche visiteur19-10-0
2-8-010 derniers matchs7-3-0
4.86Buts par match 4.36
6.33Buts contre par match 4.36
34.64%Pourcentage en avantage numérique28.05%
53.99%Pourcentage en désavantage numérique75.54%
Bears
39-17-2, 80pts
2022-10-12
Silver Knights
30-22-5, 65pts
Statistiques d’équipe
W5SéquenceL1
20-7-2Fiche domicile17-11-2
19-10-0Fiche visiteur13-11-3
7-3-010 derniers matchs6-4-0
4.36Buts par match 4.35
3.16Buts contre par match 4.35
28.05%Pourcentage en avantage numérique28.91%
75.54%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe
Brett LeasonButs
Brett Leason
29
Michal KempnyPasses
Michal Kempny
57
Michal KempnyPoints
Michal Kempny
74
Shane GersichPlus/Moins
Shane Gersich
33
Pheonix CopleyVictoires
Pheonix Copley
29
Zachary FucalePourcentage d’arrêts
Zachary Fucale
0.916

Statistiques d’équipe
Buts pour
253
4.36 GFG
Tirs pour
2035
35.09 Avg
Pourcentage en avantage numérique
28.0%
46 GF
Début de zone offensive
39.0%
Buts contre
183
3.16 GAA
Tirs contre
1997
34.43 Avg
Pourcentage en désavantage numérique
75.5%
45 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur général
EntraîneurBrian Pinho
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 20
Espoirs0


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 moyen
1Connor McMichaelX100.005934916873757970766669617263658040650213863,333$
2Axel Jonsson FjallbyX100.006552889076748662505963567058608040640241750,000$
3Beck MalenstynX100.008740876284778860536062635765675340640241750,000$
4Brett LeasonX100.007841876294758864576263636264666840640231842,500$
5Aliaksei ProtasX100.008052926498798363756361635962646340640213789,167$
6Michael SgarbossaX100.006336926570847166776864626571733440640292750,000$
7Joe SnivelyX100.005636756365867765736767586267693840630261750,000$
8Garrett PilonX100.006337936674867961756268616565676140630242750,000$
9Mike VecchioneX96.3559369162698079616360606164707235406202910$
10Brian PinhoX100.006437946175846659805959585968705540610271725,000$
11Kody ClarkX100.006637785982798257555860546266687140600222808,333$
12Riley SutterX100.007941865689667254635751615364666140590222764,167$
13Shane GersichX100.006139735870829258555960565867695340590251750,000$
14Damien RiatXXX100.006052875865618454555655575559617840580251817,500$
15Michal KempnyX100.0073456963768467633067647450747526406503112,500,000$
16Lucas JohansenX100.006037896377778365306661645066687640630241750,000$
17Alexander AlexeyevX100.007670746490758163306260605164667740620222863,333$
18Dylan McIlrathX100.008882645696689156305554614571736840610302750,000$
Rayé
MOYENNE D’ÉQUIPE99.78694584637977806157616161596668604062
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 moyen
1Pheonix Copley100.007574758674737574737574718549406303011,100,000$
2Zachary Fucale100.00667776847171707372687260776740600272750,000$
Rayé
MOYENNE D’ÉQUIPE100.0071767685737273747372736681584062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brian Pinho64696163566566USA402750,000$


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
1Michal KempnyBears (WSH)D5817577427420140881334111412.78%113139023.9811920581370000147420.00%000001.0600000613
2Axel Jonsson FjallbyBears (WSH)LW58273360143010941312316717611.69%11109218.8441418371330000315018.849600001.1001002344
3Brett LeasonBears (WSH)RW582930594360146762166316413.43%19121520.955712331350003613020.9514800200.9701000224
4Joe SnivelyBears (WSH)C5824315530200441001204010020.00%2986414.912243260000194114.9145400001.2700000261
5Beck MalenstynBears (WSH)LW5823285115460162672075915911.11%16111419.224610301290001223119.227100000.9101000144
6Michael SgarbossaBears (WSH)C482028481260341241494114313.42%1992119.214711187200001043119.21106400101.0400000234
7Shane GersichBears (WSH)LW58162137331806750117377413.68%679413.69000020000184113.696800000.9300000232
8Connor McMichaelBears (WSH)C3415203584013721233310912.20%1676222.432911198300021072022.4389500000.9202000231
9Lucas JohansenBears (WSH)D488263474012558229639.76%65100120.862352994000298110.00%000000.6800000311
10Alexander AlexeyevBears (WSH)D449243314535653161213814.75%5196722.00471123930002105010.00%000010.6800100212
11Kody ClarkBears (WSH)RW4614152928160594196155314.58%565714.28112425000002014.284900000.8800000110
12Dylan McIlrathBears (WSH)D58520251880208455521359.09%98112919.483710251020000110100.00%000000.4400000102
13Garrett PilonBears (WSH)C3915102519403462108347213.89%1870418.0622416440001472218.0640400010.7112000111
14Brian PinhoBears (WSH)C583222527803036438326.98%305729.870001500016009.876800000.8700000101
15Mike VecchioneBears (WSH)RW3171623148019278229648.54%553217.181341269000001017.182900000.8600000011
16Riley SutterBears (WSH)C5821820251957123225239.09%274788.2600008000124008.262800000.8400001100
17Aliaksei ProtasBears (WSH)C194131764039556316516.35%738220.110224290000400020.1148100000.8901000011
18Damien RiatBears (WSH)C/LW/RW58710171240152570174010.00%53486.000000000000206.003500000.9800000011
19Trevor van RiemsdykCapitalsD103912-1101021829121310.34%2024824.891121624000032000.00%000000.9600110010
20Matt IrwinCapitalsD102810-140231517101811.76%1825125.13022725000030000.00%000000.8000000201
Statistiques d’équipe totales ou en moyenne90925043968929442430127711412024598154112.35%5781543116.9846821283351244000131008371055.17%389000320.8918213323434
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
1Pheonix CopleyBears (WSH)46291420.9093.0726012113314550310.90911462415
2Zachary FucaleBears (WSH)179300.9162.9884700424980000.00%01256100
Statistiques d’équipe totales ou en moyenne63381720.9103.0434492117519530310.909115858515


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alexander AlexeyevBears (WSH)D221999-11-15No213 Lbs6 ft4NoNoNo2Pro & Farm863,333$259,928$0$0$No863,333$Lien
Aliaksei ProtasBears (WSH)C212001-01-06No225 Lbs6 ft6NoNoNo3Pro & Farm789,167$237,599$0$0$No789,167$789,167$Lien / Lien NHL
Axel Jonsson FjallbyBears (WSH)LW241998-02-10No170 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Beck MalenstynBears (WSH)LW241998-02-04No200 Lbs6 ft3NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Brett LeasonBears (WSH)RW231999-04-30No218 Lbs6 ft5NoNoNo1Pro & Farm842,500$253,656$0$0$NoLien / Lien NHL
Brian PinhoBears (WSH)C271995-05-11No190 Lbs6 ft1NoNoNo1Pro & Farm725,000$218,280$0$0$NoLien / Lien NHL
Connor McMichaelBears (WSH)C212001-01-15No180 Lbs6 ft0NoNoNo3Pro & Farm863,333$259,928$0$0$No863,333$863,333$Lien / Lien NHL
Damien RiatBears (WSH)C/LW/RW251997-02-26No181 Lbs6 ft0NoNoNo1Pro & Farm817,500$246,129$0$0$NoLien / Lien NHL
Dylan McIlrathBears (WSH)D301992-04-20No231 Lbs6 ft5NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Garrett PilonBears (WSH)C241998-04-13No191 Lbs6 ft0NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Joe SnivelyBears (WSH)C261996-01-01No176 Lbs5 ft9NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Kody ClarkBears (WSH)RW221999-10-13No185 Lbs6 ft3NoNoNo2Pro & Farm808,333$243,369$0$0$No808,333$Lien / Lien NHL
Lucas JohansenBears (WSH)D241997-11-16No176 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Michael SgarbossaBears (WSH)C291992-07-25No179 Lbs6 ft0NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Michal KempnyBears (WSH)D311990-09-08No192 Lbs6 ft1NoNoNo1Pro & Farm2,500,000$752,688$0$0$NoLien / Lien NHL
Mike VecchioneBears (WSH)RW291993-02-25No193 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Pheonix CopleyBears (WSH)G301992-01-18No200 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$331,183$0$0$NoLien / Lien NHL
Riley SutterBears (WSH)C221999-10-25No210 Lbs6 ft4NoNoNo2Pro & Farm764,167$230,072$0$0$No764,167$Lien / Lien NHL
Shane GersichBears (WSH)LW251996-07-10No180 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Zachary FucaleBears (WSH)G271995-05-28No187 Lbs6 ft2NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.30194 Lbs6 ft21.55841,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson FjallbyBrett Leason40122
2Beck MalenstynMichael SgarbossaKody Clark30122
3Shane GersichAliaksei ProtasDamien Riat20122
4Joe SnivelyMichael Sgarbossa10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal KempnyLucas Johansen40122
2Dylan McIlrath30122
3Joe SnivelyGarrett Pilon20122
4Michal KempnyLucas Johansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson FjallbyBrett Leason60122
2Beck MalenstynMichael SgarbossaKody Clark40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal KempnyLucas Johansen60122
2Dylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Sgarbossa60122
2Brett LeasonAliaksei Protas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal KempnyLucas Johansen60122
2Dylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Michal KempnyLucas Johansen60122
2Michael Sgarbossa40122Dylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Sgarbossa60122
2Brett LeasonAliaksei Protas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michal KempnyLucas Johansen60122
2Dylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson FjallbyBrett LeasonMichal KempnyLucas Johansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson FjallbyBrett LeasonMichal KempnyLucas Johansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brian Pinho, Riley Sutter, Garrett PilonBrian Pinho, Riley SutterGarrett Pilon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Dylan McIlrath, Michal KempnyDylan McIlrath, Michal Kempny
Tirs de pénalité
, Michael Sgarbossa, Brett Leason, Aliaksei Protas, Axel Jonsson Fjallby
Gardien
#1 : , #2 : Zachary Fucale
Lignes d’attaque personnalisées en prolongation
, Michael Sgarbossa, Brett Leason, Aliaksei Protas, Axel Jonsson Fjallby, Joe Snively, Joe Snively, Garrett Pilon, Beck Malenstyn, Brian Pinho, Kody Clark
Lignes de défense personnalisées en prolongation
Michal Kempny, Lucas Johansen, , Dylan McIlrath,


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
1American21100000541110000003121010000023-120.5005101500111815657667773460429591213368225.00%40100.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
2Barrucada2010000157-21000000134-11010000023-110.25059140011181565816777346042990181451900.00%7185.71%0963196049.13%1007207048.65%51899652.01%13899761378414735369
3Bruins2020000049-51010000025-31010000024-200.00047110011181565556777346042990192053200.00%10460.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
4Canucks22000000945110000005141100000043141.00091423001118156583677734604297330265210220.00%12283.33%0963196049.13%1007207048.65%51899652.01%13899761378414735369
5Checkers21001000752100010003211100000043141.0007142100111815656267773460429621217474125.00%6266.67%0963196049.13%1007207048.65%51899652.01%13899761378414735369
6Chekers11000000532000000000001100000053221.000591400111815653767773460429397624000.00%3233.33%0963196049.13%1007207048.65%51899652.01%13899761378414735369
7Comets321000001064211000006511100000041340.667101626001118156596677734604299622247512325.00%110100.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
8Condors320000101174210000107521100000042261.000111728001118156511867773460429107372485500.00%10190.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
9Eagles211000001275110000007161010000056-120.5001223350011181565636777346042983232241200.00%10280.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
10Griffins220000001266110000004041100000086241.00012193101111815654667773460429773018332150.00%8275.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
11Gulls21100000853110000005141010000034-120.5008142200111815658067773460429541585510330.00%40100.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
12Heat211000001210221100000121020000000000020.50012243600111815657867773460429762133505240.00%9277.78%0963196049.13%1007207048.65%51899652.01%13899761378414735369
13Islanders42200000201912110000089-1211000001210240.50020355500111815651606777346042914846367417741.18%17852.94%0963196049.13%1007207048.65%51899652.01%13899761378414735369
14Monsters3210000011650000000000032100000116540.6671120310011181565119677734604291063210697114.29%5180.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
15Moose11000000761110000007610000000000021.000713200011181565406777346042937158272150.00%4250.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
16Penguins330000002411131100000084422000000167961.0002444680011181565111677734604291043312759666.67%5260.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
17Phantoms4210100015105220000009452010100066060.75015274200111815651536777346042910028238111218.18%9455.56%0963196049.13%1007207048.65%51899652.01%13899761378414735369
18Reign2010100068-21010000014-31000100054120.5006111700111815654867773460429731810356116.67%5180.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
19Roadrunners20100100710-31000010045-11010000035-210.2507121910111815658567773460429833120465120.00%10460.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
20Rocket11000000422110000004220000000000021.0004610001118156521677734604295012102311100.00%5180.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
21Senators11000000927000000000001100000092721.00091827001118156533677734604292482264375.00%10100.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
22Silver Knights11000000523110000005230000000000021.0005712001118156534677734604292594182150.00%20100.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
23Stars312000001213-11010000046-22110000087120.3331222340011181565796777346042910033204910440.00%10280.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
24Wild11000000633110000006330000000000021.000691500111815653167773460429352015000.00%000.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
25Wolf Pack32100000910-11010000037-42200000063340.6679172600111815651036777346042910138215910220.00%7185.71%0963196049.13%1007207048.65%51899652.01%13899761378414735369
26Wolves43000010188102100001064222000000124881.00018304800111815651436777346042910536258011218.18%10190.00%0963196049.13%1007207048.65%51899652.01%13899761378414735369
Total583417031212531837029177011211229131291710020001319239800.6902534477001111181565203567773460429199758742612791644628.05%1844575.54%0963196049.13%1007207048.65%51899652.01%13899761378414735369
_Since Last GM Reset583417031212531837029177011211229131291710020001319239800.6902534477001111181565203567773460429199758742612791644628.05%1844575.54%0963196049.13%1007207048.65%51899652.01%13899761378414735369
_Vs Conference342290201014898501594010105643131913501000925537500.73514826341101111815651178677734604291122328231731983131.63%982673.47%0963196049.13%1007207048.65%51899652.01%13899761378414735369
_Vs Division24166010101077037106300010403371410301000673730360.750107189296001118156588567773460429760235151513772329.87%641773.44%0963196049.13%1007207048.65%51899652.01%13899761378414735369

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5880W525344770020351997587426127911
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5834173121253183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29177112112291
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
291710200013192
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1644628.05%1844575.54%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
6777346042911181565
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
963196049.13%1007207048.65%51899652.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13899761378414735369


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
2 - 2022-06-019Bears5Monsters1AWSommaire du match
4 - 2022-06-0323Phantoms2Bears3BWSommaire du match
6 - 2022-06-0539Bears3Wolf Pack1AWSommaire du match
8 - 2022-06-0750Condors2Bears3BWXXSommaire du match
10 - 2022-06-0961Bears2Phantoms3ALSommaire du match
12 - 2022-06-1181Bears2Monsters3ALSommaire du match
15 - 2022-06-1494Wolves1Bears2BWXXSommaire du match
17 - 2022-06-16108Bears8Penguins5AWSommaire du match
18 - 2022-06-17124Heat6Bears4BLSommaire du match
21 - 2022-06-20140Bears5Stars3AWSommaire du match
23 - 2022-06-22157Stars6Bears4BLSommaire du match
25 - 2022-06-24167Bears2Wolves1AWSommaire du match
27 - 2022-06-26184Comets2Bears4BWSommaire du match
29 - 2022-06-28199Bears5Reign4AWXSommaire du match
31 - 2022-06-30211Bears4Comets1AWSommaire du match
33 - 2022-07-02223Wolf Pack7Bears3BLSommaire du match
36 - 2022-07-05249Penguins4Bears8BWSommaire du match
38 - 2022-07-07259Bears8Islanders5AWSommaire du match
40 - 2022-07-09270Bears3Gulls4ALSommaire du match
41 - 2022-07-10284Bears4Phantoms3AWXSommaire du match
42 - 2022-07-11288Silver Knights2Bears5BWSommaire du match
46 - 2022-07-15317Condors3Bears4BWSommaire du match
48 - 2022-07-17336Bears4Condors2AWSommaire du match
50 - 2022-07-19350Bruins5Bears2BLSommaire du match
52 - 2022-07-21365Bears8Penguins2AWSommaire du match
54 - 2022-07-23381Heat4Bears8BWSommaire du match
56 - 2022-07-25398Bears5Eagles6ALSommaire du match
58 - 2022-07-27411Bears5Chekers3AWSommaire du match
59 - 2022-07-28419Wild3Bears6BWSommaire du match
62 - 2022-07-31444Reign4Bears1BLSommaire du match
65 - 2022-08-03466Bears4Checkers3AWSommaire du match
67 - 2022-08-05479Roadrunners5Bears4BLXSommaire du match
69 - 2022-08-07494Bears3Wolf Pack2AWSommaire du match
72 - 2022-08-10508Barrucada4Bears3BLXXSommaire du match
75 - 2022-08-13535Gulls1Bears5BWSommaire du match
77 - 2022-08-15546Bears4Islanders5ALSommaire du match
80 - 2022-08-18564Bears4Canucks3AWSommaire du match
81 - 2022-08-19572Islanders4Bears2BLSommaire du match
85 - 2022-08-23597Rocket2Bears4BWSommaire du match
87 - 2022-08-25613Bears3Roadrunners5ALSommaire du match
89 - 2022-08-27632Moose6Bears7BWSommaire du match
92 - 2022-08-30648Bears3Stars4ALSommaire du match
94 - 2022-09-01662Griffins0Bears4BWSommaire du match
98 - 2022-09-05688Phantoms2Bears6BWSommaire du match
100 - 2022-09-07707Bears2Bruins4ALSommaire du match
101 - 2022-09-08717Bears10Wolves3AWSommaire du match
103 - 2022-09-10731Islanders5Bears6BWSommaire du match
106 - 2022-09-13749Bears8Griffins6AWSommaire du match
108 - 2022-09-15760Checkers2Bears3BWXSommaire du match
111 - 2022-09-18785Canucks1Bears5BWSommaire du match
113 - 2022-09-20805Bears2Barrucada3ALSommaire du match
114 - 2022-09-21813Bears2American3ALSommaire du match
116 - 2022-09-23825Comets3Bears2BLSommaire du match
119 - 2022-09-26851Eagles1Bears7BWSommaire du match
121 - 2022-09-28867Bears9Senators2AWSommaire du match
123 - 2022-09-30881Bears4Monsters2AWSommaire du match
124 - 2022-10-01890American1Bears3BWSommaire du match
128 - 2022-10-05916Wolves3Bears4BWSommaire du match
131 - 2022-10-08937Bears-Reign-
133 - 2022-10-10949IceHogs-Bears-
135 - 2022-10-12963Bears-Silver Knights-
137 - 2022-10-14981Stars-Bears-
140 - 2022-10-171004Senators-Bears-
142 - 2022-10-191016Bears-Crunch-
145 - 2022-10-221038Admirals-Bears-
147 - 2022-10-241054Bears-Moose-
149 - 2022-10-261067Wolf Pack-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2022-10-281085Bears-Rocket-
153 - 2022-10-301099Monsters-Bears-
155 - 2022-11-011110Bears-IceHogs-
156 - 2022-11-021122Bears-Marlies-
159 - 2022-11-051139Penguins-Bears-
160 - 2022-11-061148Bears-Wild-
163 - 2022-11-091169Thunderbirds-Bears-
166 - 2022-11-121189Bears-Admirals-
168 - 2022-11-141204Crunch-Bears-
172 - 2022-11-181230Monsters-Bears-
175 - 2022-11-211253Marlies-Bears-
177 - 2022-11-231264Bears-Comets-
178 - 2022-11-241273Bears-Thunderbirds-
180 - 2022-11-261288Bears-Heat-
183 - 2022-11-291297Chekers-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,696,379$ 1,682,333$ 1,682,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,045$ 1,172,196$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 13,077$ 732,312$




Bears Leaders statistiques (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

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

Bears Leaders statistiques (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