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Bears
GP: 60 | W: 27 | L: 29 | OTL: 4 | P: 58
GF: 174 | GA: 201 | PP%: 16.92% | PK%: 81.22%
DG: Jeremy Pilon | Morale : 43 | Moyenne d’équipe : 63
Prochains matchs #1004 vs Gulls
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Centre de jeu
Checkers
44-15-4, 92pts
9
FINAL
2 Bears
27-29-4, 58pts
Team Stats
W2SéquenceW1
22-7-2Fiche domicile16-14-2
22-8-2Fiche domicile11-15-2
6-3-1Derniers 10 matchs4-5-1
3.89Buts par match 2.90
2.92Buts contre par match 3.35
24.77%Pourcentage en avantage numérique16.92%
80.98%Pourcentage en désavantage numérique81.22%
Islanders
39-19-5, 83pts
2
FINAL
4 Bears
27-29-4, 58pts
Team Stats
L2SéquenceW1
20-8-3Fiche domicile16-14-2
19-11-2Fiche domicile11-15-2
5-4-1Derniers 10 matchs4-5-1
3.57Buts par match 2.90
3.06Buts contre par match 3.35
23.65%Pourcentage en avantage numérique16.92%
80.66%Pourcentage en désavantage numérique81.22%
Bears
27-29-4, 58pts
2025-01-21
Gulls
29-24-7, 65pts
Statistiques d’équipe
W1SéquenceL4
16-14-2Fiche domicile16-10-5
11-15-2Fiche visiteur13-14-2
4-5-110 derniers matchs4-5-1
2.90Buts par match 3.10
3.35Buts contre par match 3.10
16.92%Pourcentage en avantage numérique18.38%
81.22%Pourcentage en désavantage numérique78.19%
Bears
27-29-4, 58pts
2025-01-22
Americans
29-29-6, 64pts
Statistiques d’équipe
W1SéquenceL3
16-14-2Fiche domicile18-8-5
11-15-2Fiche visiteur11-21-1
4-5-110 derniers matchs5-4-1
2.90Buts par match 3.31
3.35Buts contre par match 3.31
16.92%Pourcentage en avantage numérique22.40%
81.22%Pourcentage en désavantage numérique77.71%
Rocket
26-27-10, 62pts
2025-01-24
Bears
27-29-4, 58pts
Statistiques d’équipe
L1SéquenceW1
14-12-5Fiche domicile16-14-2
12-15-5Fiche visiteur11-15-2
3-7-010 derniers matchs4-5-1
3.16Buts par match 2.90
3.21Buts contre par match 2.90
25.68%Pourcentage en avantage numérique16.92%
77.55%Pourcentage en désavantage numérique81.22%
Meneurs d'équipe
Buts
Parker Kelly
24
Passes
Chris Wideman
29
Points
Parker Kelly
48
Plus/Moins
Parker Kelly
4
Victoires
Chris Driedger
23
Pourcentage d’arrêts
Chris Driedger
0.899

Statistiques d’équipe
Buts pour
174
2.90 GFG
Tirs pour
1766
29.43 Avg
Pourcentage en avantage numérique
16.9%
34 GF
Début de zone offensive
39.8%
Buts contre
201
3.35 GAA
Tirs contre
1845
30.75 Avg
Pourcentage en désavantage numérique
81.2%%
40 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralJeremy Pilon
EntraîneurKevin Constantine
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineCharles Hudon
Assistant #1Chris Wideman
Assistant #2Ryan Reaves


Informations de l’aréna

Capacité3,000
Assistance2,742
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 56
Espoirs27


Historique d'équipe

Saison actuelle27-29-4 (58PTS)
Historique77-56-7 (0.550%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)2 - 4 (0.333%)
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
1Denis GurianovXX100.00655189787378917068707166707157645767X02711,800,000$
2Charles Hudon (C)XX99.0076458270697490686873737873695452536703021,500,000$
3Ryan Reaves (A)XX100.00768082737469827164716771688667255467X03722,500,000$
4Parker KellyXX100.0085456375687479726370747169605168596602511,300,000$
5Hunter ShinkarukXX100.0070468072707478747273707366645855546603011,500,000$
6Filip Hallander (R)X100.006645857270757571727069696245457057640243750,000$
7Walker Duehr (R)X100.007145928072697871617166716050456046640271900,000$
8Josh LeivoXX100.0060459469727172706370676865645450586403131,200,000$
9Joni IkonenX100.006745867267697269717070666049476058630252750,000$
10Greg MeirelesX100.006545917368686972716768716248466839630262750,000$
11Kirill KabanovXX100.0067488169686978706565646866645651476203211,000,000$
12Corban KnightX100.006244916970727768696665706354474220620342900,000$
13Chris Wideman (A)X100.00624572736977797345736773626658384866N0351900,000$
14Connor CarrickX100.0064459271706976714570707168725053266603021,700,000$
15Michael DowningX100.0063488269737164704565626954675956586402931,200,000$
16Artyom MinulinX100.006444857271707164456762735648466058620272750,000$
17Albert YarullinX100.006643826866717762456659676076534758620311900,000$
18Linus ArnessonX100.006145847172716370455950745551505420610303800,000$
Rayé
1Ivan Muranov (R)XX100.007045807272707070606465735945457019620253750,000$
2Chris BourqueXX100.0059459269656873676567687068605121206203811,000,000$
3Mark ArcobelloX100.0057439571676662657063616460575234206003621,000,000$
4Robin FigrenXX100.005945907068667365616163646051463020590361900,000$
5Simon HjalmarssonXX100.005238927568676466605761656145453820590351900,000$
6Ty LewisXX100.005745575555535453545454535546455520500261750,000$
7Ronald BrickeyX100.007451817272706859456060685746466019610252750,000$
MOYENNE D’ÉQUIPE99.96664784716970736860666569625851514063
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
1Chris Driedger100.007884838082828782818178606353406703043,000,000$
2Timo Pielmeier99.00777776747775807779797947523868620352900,000$
Rayé
1Ian Scott100.00766868807672727272727345466026590262750,000$
MOYENNE D’ÉQUIPE99.6777767678787680777777775154504563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Constantine60787062999927USA654100,000$


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
1Parker KellyBears (Was)LW/RW602424484655121731855913612.97%13115719.3057125116811231483449.15%29500020.8315001314
2Hunter ShinkarukBears (Was)LW/RW60202747217546761725113611.63%17117019.5149134116801131731151.32%38000000.8000010431
3Chris WidemanBears (Was)D5992938-104401014778236111.54%70129021.875611391550002154110%000000.5900000233
4Ryan ReavesBears (Was)LW/RW60122133-105351145313346839.02%11108818.142683216311251562255.96%10900000.6111001122
5Denis GurianovBears (Was)LW/RW60131730-6404245157571198.28%4105217.5435830172000023058.25%10300000.5735000221
6Vladislav KamenevCapitalsC56111829-1100337011337789.73%693316.6835821157000001048.40%122100000.6212000202
7Charles HudonBears (Was)LW/RW49141428-112008945152461069.21%993819.154483413710131163148.57%7000000.6013000331
8Filip HallanderBears (Was)C5161925-1360228411228825.36%591217.90134281480001302049.80%123700000.5500000001
9Greg MeirelesBears (Was)C58111324260247677306914.29%462210.73336833000010150.07%74300000.7700000130
10Nathan BeaulieuCapitalsD5671522-446056378928537.87%83125422.40448391530001156300%000000.3500000120
11Connor CarrickBears (Was)D4921719-2226039384422374.55%72100320.48033161100110114000%000000.3800000001
12Albert YarullinBears (Was)D6021618451566241881811.11%6893615.6000013000015000%000000.3800000101
13Walker DuehrBears (Was)LW4861117-158032377624607.89%858312.1600012000080043.59%3900000.5800000120
14Michael DowningBears (Was)D6031417-6401057384610256.52%59109118.190001343000090000%000000.3100110030
15Artyom MinulinBears (Was)D6051217-8420843847131810.64%61114319.050116160112148220%000000.3000000011
16Josh LeivoBears (Was)LW/RW607714-84021377421579.46%463310.5601117000000053.00%10000000.4400000100
17Joni IkonenBears (Was)C605712-92031668119416.17%364310.7300005000081050.20%75500000.3700000000
18Kirill KabanovBears (Was)LW/RW496410-4260352152204511.54%34839.86000090002271047.62%2100000.4100000200
19Chris BourqueBears (Was)LW/RW1708802069147120%417910.540114270000360070.00%1000000.8900000000
20Linus ArnessonBears (Was)D152571201481351715.38%1531921.29033237000033000%000100.4400000100
21Ivan MuranovBears (Was)LW/RW141452100108189135.56%11309.3100001000020028.57%700000.7700000000
22Corban KnightBears (Was)C18415-120513153726.67%21086.0300000000000145.80%13100000.9200000020
23Ronald BrickeyBears (Was)D1000-100000000%01515.470000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne1080170303473-114486301048943176656612739.63%5221769116.383461953671727358221424231349.84%522100120.53716122252718
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
1Chris DriedgerBears (Was)49232330.8993.1428076014714520110.84613495123
2Timo PielmeierBears (Was)164610.8683.8180400513870100.33331149000
3Ian ScottBears (Was)10000.8005.001200150000006000
Statistiques d’équipe totales ou en moyenne66272940.8923.303624601991844021166060123


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 Plafond 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
Albert YarullinBears (Was)D311993-05-03RUSNo203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Artyom MinulinBears (Was)D271998-01-10RUSNo196 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Charles HudonBears (Was)LW/RW301994-06-23CANNo196 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Chris BourqueBears (Was)LW/RW381986-01-29USANo182 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Chris DriedgerBears (Was)G301994-05-18CANNo210 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Lien
Chris WidemanBears (Was)D351990-01-07USANo181 Lbs5 ft10YesNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Connor CarrickBears (Was)D301994-04-13USANo198 Lbs5 ft10NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Corban KnightBears (Was)C341990-09-10CANNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Denis GurianovBears (Was)LW/RW271997-06-07RUSNo195 Lbs6 ft2NoYesN/ANoNo12024-04-29FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Filip HallanderBears (Was)C242000-06-29SWEYes190 Lbs6 ft1NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Greg MeirelesBears (Was)C261999-01-01CANNo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Hunter ShinkarukBears (Was)LW/RW301994-10-13CANNo181 Lbs5 ft10NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Ian ScottBears (Was)G261999-01-11CANNo178 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ivan MuranovBears (Was)LW/RW251999-10-06RUSYes209 Lbs6 ft4NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Joni IkonenBears (Was)C251999-04-14FINNo172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Josh LeivoBears (Was)LW/RW311993-05-26CANNo192 Lbs6 ft2NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Kirill KabanovBears (Was)LW/RW321992-07-16RUSNo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Linus ArnessonBears (Was)D301994-09-21SWENo188 Lbs6 ft1NoNoN/ANoNo32024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Mark ArcobelloBears (Was)C361988-08-12USANo172 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Michael DowningBears (Was)D291995-05-19USANo204 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Parker KellyBears (Was)LW/RW251999-06-14CANNo168 Lbs5 ft11NoNoTrade2024-05-30NoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Robin FigrenBears (Was)LW/RW361988-03-07SWENo190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ronald BrickeyBears (Was)D251999-05-27USANo207 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ryan ReavesBears (Was)LW/RW371987-01-20CANNo225 Lbs6 ft2NoYesN/ANoNo2FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------2,500,000$--------No--------Lien
Simon HjalmarssonBears (Was)LW/RW351989-02-01SWENo179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Timo PielmeierBears (Was)G351989-07-07GERNo176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ty LewisBears (Was)LW/RW261998-03-05CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Walker DuehrBears (Was)LW271997-11-23USAYes210 Lbs6 ft2NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2830.07191 Lbs6 ft01.861,135,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Parker KellyFilip HallanderHunter Shinkaruk30122
2Denis GurianovGreg MeirelesCharles Hudon30122
3Walker DuehrJoni IkonenRyan Reaves25122
4Josh LeivoCorban KnightKirill Kabanov15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLinus Arnesson35041
2Connor CarrickArtyom Minulin35041
3Michael DowningAlbert Yarullin30041
4Chris WidemanConnor Carrick0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan ReavesFilip HallanderHunter Shinkaruk50014
2Denis GurianovGreg MeirelesCharles Hudon50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanConnor Carrick50023
2Linus ArnessonParker Kelly50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hunter ShinkarukCharles Hudon50005
2Parker KellyRyan Reaves50005
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanConnor Carrick50050
2Linus ArnessonArtyom Minulin50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Reaves50050Chris WidemanConnor Carrick50050
2Parker Kelly50050Linus ArnessonArtyom Minulin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip HallanderDenis Gurianov50023
2Joni IkonenCharles Hudon50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris WidemanLinus Arnesson50041
2Connor CarrickMichael Downing50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovFilip HallanderHunter ShinkarukChris WidemanConnor Carrick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan ReavesHunter ShinkarukParker KellyChris WidemanConnor Carrick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Reaves, Denis Gurianov, Parker KellyRyan Reaves, Denis GurianovHunter Shinkaruk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Wideman, Connor Carrick, Michael DowningChris WidemanConnor Carrick, Chris Wideman
Tirs de pénalité
Filip Hallander, Denis Gurianov, Parker Kelly, Ryan Reaves, Hunter Shinkaruk
Gardien
#1 : Timo Pielmeier, #2 : Chris Driedger


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
1Barracuda11000000532110000005320000000000021.00058130059605172958160556036316620200.00%30100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
2BruinsF31100100810-22110000067-11000010023-130.500815230059605179258160556036982124538112.50%12375.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
3Canucks11000000532000000000001100000053221.0005813005960517265816055603626114205120.00%2150.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
4Checkers421000101516-11010000029-732000010137660.750152742005960517102581605560361213330721200.00%14378.57%01019206849.27%1077212750.63%50699650.80%14119601432452787390
5Comets431000002012822000000104621100000108260.7502037570059605171285816055603612740306216743.75%13284.62%01019206849.27%1077212750.63%50699650.80%14119601432452787390
6Condors2010000135-22010000135-20000000000010.25035800596051784581605560366317264715320.00%11281.82%01019206849.27%1077212750.63%50699650.80%14119601432452787390
7Crunch311000109902110000056-11000001043140.66791423005960517775816055603611234305210110.00%15286.67%01019206849.27%1077212750.63%50699650.80%14119601432452787390
8Eagles20200000410-620200000410-60000000000000.00046100059605174258160556036671418436116.67%90100.00%11019206849.27%1077212750.63%50699650.80%14119601432452787390
9Firebirds31100100712-52110000059-41000010023-130.5007132000596051781581605560361002634479222.22%13376.92%11019206849.27%1077212750.63%50699650.80%14119601432452787390
10Griffins11000000413110000004130000000000021.0004711005960517255816055603627118176116.67%4175.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
11Icehogs1010000025-31010000025-30000000000000.0002460059605171558160556036186212200.00%10100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
12Iowa Wild11000000532110000005320000000000021.00051015005960517295816055603640129153133.33%20100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
13Islanders41300000912-32110000056-12020000046-220.2509152400596051712758160556036952837741218.33%8362.50%01019206849.27%1077212750.63%50699650.80%14119601432452787390
14Marlies2010001059-4000000000002010001059-420.5005813005960517545816055603658202027500.00%10280.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
15Moose43100000151142200000010462110000057-260.7501528430059605171215816055603612536289011218.18%13284.62%01019206849.27%1077212750.63%50699650.80%14119601432452787390
16PenguinsF513000101219-73110001087120200000412-840.4001216280059605171715816055603617051348916318.75%16193.75%01019206849.27%1077212750.63%50699650.80%14119601432452787390
17Phantoms321000001091220000006421010000045-140.66710182800596051795581605560367715265610220.00%13284.62%11019206849.27%1077212750.63%50699650.80%14119601432452787390
18Reign22000000725000000000002200000072541.000712190059605178858160556036612317249222.22%60100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
19Rocket312000001013-31010000026-42110000087120.3331017270059605179358160556036941221486116.67%8362.50%01019206849.27%1077212750.63%50699650.80%14119601432452787390
20SenatorsF1010000013-2000000000001010000013-200.00012300596051730581605560362671012500.00%5180.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
21Silver Knights1010000014-3000000000001010000014-300.0001230059605172458160556036368615400.00%30100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
22StarsF1010000024-21010000024-20000000000000.000246005960517205816055603643151216100.00%6266.67%01019206849.27%1077212750.63%50699650.80%14119601432452787390
23Thunderbirds1010000002-21010000002-20000000000000.000000005960517175816055603630161011200.00%40100.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
24Wolf Pack40300100713-62010010047-32020000036-310.125713201059605171165816055603610632246714321.43%10370.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
25Wolves21100000660110000004311010000023-120.500610160059605175258160556036621816435120.00%8275.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
26Wranglers1010000025-3000000000001010000025-300.0002460059605172858160556036321010167114.29%4250.00%01019206849.27%1077212750.63%50699650.80%14119601432452787390
Total60232900341174201-273215140011192105-1328815002308296-14580.483174303477105960517176658160556036184552249210482013416.92%2134081.22%31019206849.27%1077212750.63%50699650.80%14119601432452787390
_Since Last GM Reset60232900341174201-273215140011192105-1328815002308296-14580.483174303477105960517176658160556036184552249210482013416.92%2134081.22%31019206849.27%1077212750.63%50699650.80%14119601432452787390
_Vs Conference45172100340134154-2022128001106772-523513002306782-15450.50013423336710596051713395816055603613713733647921392417.27%1583279.75%21019206849.27%1077212750.63%50699650.80%14119601432452787390

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6058W117430347717661845522492104810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6023290341174201
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321514011192105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2881502308296
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2013416.92%2134081.22%3
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
581605560365960517
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
1019206849.27%1077212750.63%50699650.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14119601432452787390


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 - 2024-09-0613PenguinsF3Bears4WXXSommaire du match
4 - 2024-09-0825Bears3Checkers2WXXSommaire du match
6 - 2024-09-1041Phantoms1Bears2WSommaire du match
10 - 2024-09-1466Rocket6Bears2LSommaire du match
12 - 2024-09-1687Bears1SenatorsF3LSommaire du match
14 - 2024-09-1898Bears3Wolf Pack4LSommaire du match
15 - 2024-09-19111PenguinsF1Bears4WSommaire du match
18 - 2024-09-22130Bears2Moose5LSommaire du match
20 - 2024-09-24141Condors2Bears1LSommaire du match
22 - 2024-09-26163Wolf Pack3Bears1LSommaire du match
25 - 2024-09-29181Bears2Marlies7LSommaire du match
27 - 2024-10-01195Bears4Crunch3WXXSommaire du match
28 - 2024-10-02207Islanders4Bears1LSommaire du match
31 - 2024-10-05229Comets3Bears5WSommaire du match
36 - 2024-10-10252Bears2Islanders3LSommaire du match
38 - 2024-10-12264Condors3Bears2LXXSommaire du match
40 - 2024-10-14287Firebirds6Bears1LSommaire du match
42 - 2024-10-16299Bears2Firebirds3LXSommaire du match
44 - 2024-10-18316Bears3Marlies2WXXSommaire du match
46 - 2024-10-20328Iowa Wild3Bears5WSommaire du match
49 - 2024-10-23346Bears5Checkers2WSommaire du match
50 - 2024-10-24358Wolf Pack4Bears3LXSommaire du match
53 - 2024-10-27384Griffins1Bears4WSommaire du match
56 - 2024-10-30403Bears8Comets5WSommaire du match
59 - 2024-11-02418Crunch2Bears4WSommaire du match
61 - 2024-11-04437Bears5Canucks3WSommaire du match
64 - 2024-11-07451Moose1Bears6WSommaire du match
67 - 2024-11-10473Bears1PenguinsF7LSommaire du match
68 - 2024-11-11482Eagles7Bears2LSommaire du match
71 - 2024-11-14501Bears4Reign1WSommaire du match
73 - 2024-11-16516Comets1Bears5WSommaire du match
76 - 2024-11-19540Bears3Moose2WSommaire du match
77 - 2024-11-20546Firebirds3Bears4WSommaire du match
80 - 2024-11-23568Bears5Checkers3WSommaire du match
81 - 2024-11-24580Eagles3Bears2LSommaire du match
84 - 2024-11-27598Bears2Islanders3LSommaire du match
85 - 2024-11-28611StarsF4Bears2LSommaire du match
88 - 2024-12-01632Bears0Wolf Pack2LSommaire du match
89 - 2024-12-02643PenguinsF3Bears0LSommaire du match
91 - 2024-12-04659Bears2Wranglers5LSommaire du match
94 - 2024-12-07675Thunderbirds2Bears0LSommaire du match
98 - 2024-12-11706Barracuda3Bears5WSommaire du match
99 - 2024-12-12714Bears3Reign1WSommaire du match
102 - 2024-12-15738Crunch4Bears1LSommaire du match
104 - 2024-12-17749Bears3PenguinsF5LSommaire du match
107 - 2024-12-20766Bears3Rocket4LSommaire du match
108 - 2024-12-21772Phantoms3Bears4WSommaire du match
111 - 2024-12-24794Bears5Rocket3WSommaire du match
112 - 2024-12-25804BruinsF6Bears3LSommaire du match
115 - 2024-12-28825Bears4Phantoms5LSommaire du match
117 - 2024-12-30837Bears2Wolves3LSommaire du match
118 - 2024-12-31846Moose3Bears4WSommaire du match
121 - 2025-01-03869Icehogs5Bears2LSommaire du match
123 - 2025-01-05886Bears2Comets3LSommaire du match
125 - 2025-01-07898Bears1Silver Knights4LSommaire du match
126 - 2025-01-08907BruinsF1Bears3WSommaire du match
129 - 2025-01-11932Wolves3Bears4WSommaire du match
131 - 2025-01-13946Bears2BruinsF3LXSommaire du match
132 - 2025-01-14960Checkers9Bears2LSommaire du match
137 - 2025-01-19993Islanders2Bears4WSommaire du match
139 - 2025-01-211004Bears-Gulls-
140 - 2025-01-221019Bears-Americans-
142 - 2025-01-241029Rocket-Bears-
144 - 2025-01-261046Bears-Americans-
146 - 2025-01-281059Checkers-Bears-
147 - 2025-01-291071Bears-SenatorsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-02-011092Marlies-Bears-
152 - 2025-02-031107Bears-Roadrunners-
154 - 2025-02-051121Bears-Wolves-
155 - 2025-02-061125Bears-Firebirds-
157 - 2025-02-081136Marlies-Bears-
160 - 2025-02-111156Bears-Monsters-
161 - 2025-02-121169Americans-Bears-
163 - 2025-02-141178Bears-BruinsF-
165 - 2025-02-161193Bears-Gulls-
167 - 2025-02-181206Americans-Bears-
170 - 2025-02-211224Bears-Crunch-
172 - 2025-02-231232Wolves-Bears-
174 - 2025-02-251246Bears-Admirals-
178 - 2025-03-011270SenatorsF-Bears-
181 - 2025-03-041293SenatorsF-Bears-
182 - 2025-03-051300Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance56,84430,889
Assistance PCT88.82%96.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 2742 - 91.39% 106,119$3,395,823$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,525,173$ 3,180,000$ 3,180,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,451,133$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
955,075$ 48 17,730$ 851,040$




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
1Hunter Shinkaruk1324462106174715115237211.83%36253719.22618247712358250.42%10.8426
2Charles Hudon13143489126225912540610.59%30255019.47813217911277449.53%00.71310
3Chris Wideman121205575-125412810617111.70%136268622.20101323750002430%00.5600
4Gaetan Haas8033366931145613819417.01%20152119.01610162900034449.34%30.9133
5Daniel Sprong823336693218687426312.55%10150818.4059145400010145.45%00.9105

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
1Timo Pielmeier73362250.8913.1539442220718920200.69029
2Chris Driedger49232330.8993.1428076014714520110.84613
3Jonas Gustavsson34181110.9012.66180202808090000.75012
4Ian Scott20000.8804.87370032500000

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
15824127032632652412441221201150133115184119150211313212661052654637280490838316248080981682666233473461614212674717.60%2554681.96%31379281049.07%1352273649.42%599130845.80%1936132019536231083537
1660232900341174201-273215140011192105-1328815002308296-1458174303477105960517176658160556036184552249210482013416.92%2134081.22%31019206849.27%1077212750.63%50699650.80%14119601432452787390
Total Saison régulière1426456035104439442-373372601261225220569273002343214222-816343976612051414914313423424613901421138610241791256110824694688117.31%4688681.62%62398487849.16%2429486349.95%1105230447.96%33482280338510751870927
Séries éliminatoires
15624000002024-430300000914-532100000111014203959006680201656071516542369323626.09%16568.75%011723150.65%8818148.62%5611250.00%148103137437940
Total Séries éliminatoires624000002024-430300000914-532100000111014203959006680201656071516542369323626.09%16568.75%011723150.65%8818148.62%5611250.00%148103137437940

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
1Andrey Pedan63692101241030.00%1413923.1730380000000%01.2900
2Chris Wideman534730371225.00%611322.7501140000100%01.2300
3Charles Hudon6437-201172615.38%212220.39022500011050.00%01.1400
4Gaetan Haas6257-123121811.11%111419.12145500000051.27%01.2200
5Hunter Shinkaruk61451692214.76%110818.10011100000054.55%00.9200

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
1Timo Pielmeier62300.8334.42285002112600000
2Jonas Gustavsson30010.9232.25800033900000