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Bears
GP: 86 | W: 61 | L: 19 | OTL: 6 | P: 128
GF: 292 | GA: 186 | PP%: 31.47% | PK%: 70.59%
DG: Mark Budey | Morale : 94 | Moyenne d’équipe : 62

Centre de jeu
Bears
61-19-6, 128pts
3
5 Thunderbirds
69-11-6, 144pts
Team Stats
L3SéquenceW3
31-10-2Fiche domicile34-5-4
30-9-4Fiche domicile35-6-2
5-4-1Derniers 10 matchs9-1-0
3.40Buts par match 4.69
2.16Buts contre par match 2.67
31.47%Pourcentage en avantage numérique29.76%
70.59%Pourcentage en désavantage numérique78.89%
Thunderbirds
69-11-6, 144pts
3
2 Bears
61-19-6, 128pts
Team Stats
W3SéquenceL3
34-5-4Fiche domicile31-10-2
35-6-2Fiche domicile30-9-4
9-1-0Derniers 10 matchs5-4-1
4.69Buts par match 3.40
2.67Buts contre par match 2.16
29.76%Pourcentage en avantage numérique31.47%
78.89%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Buts
Matt Coronato
45
Passes
Cole Perfetti
52
Points
Cole Perfetti
92
Travis HamonicPlus/Moins
Travis Hamonic
29
Jordan BinningtonVictoires
Jordan Binnington
61
Jordan BinningtonPourcentage d’arrêts
Jordan Binnington
0.895

Statistiques d’équipe
Buts pour
292
3.40 GFG
Tirs pour
2065
24.01 Avg
Pourcentage en avantage numérique
31.5%
79 GF
Début de zone offensive
40.6%
Buts contre
186
2.16 GAA
Tirs contre
1659
19.29 Avg
Pourcentage en désavantage numérique
70.6%%
25 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralMark Budey
EntraîneurTodd Reirden
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1Cody Ceci
Assistant #2Andrew Copp


Informations de l’aréna

Capacité3,000
Assistance2,966
Billets de saison1,500


Informations de la formation

Équipe Pro36
Équipe Mineure19
Limite contact 55 / 100
Espoirs67


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
1Matt Coronato (R)XX100.0065519086677696804675856425606075877202353,000,000$
2Nic DowdX100.0083448176726999639065708625777971857103621,500,000$
3Jack McBainX100.0099997477846599647166737225676770887002632,234,000$
4Cole PerfettiXXX100.0074439374706999743782775875676870867002421,127,000$
5Andrew Copp (A)XX100.0058419682746873638669737025808367866903131,100,000$
6Jason DickinsonXX100.0082668278767076628862648325757766886803031,200,000$
7Kasperi KapanenXX100.00784493857161846242626165257577638666X02931,585,000$
8Oskar SundqvistX100.0075458673826484667464577225737565866603221,100,000$
9Luke EvangelistaX100.006141917669668566257366562564656686650241896,667$
10Lukas ReichelX100.006041958665618766596460632562626353640243998,000$
11Brett MurrayX100.0084858768858084635056656864484867526402711,471,000$
12Raphael Lavoie (R)XX100.0079817383816566627853676664454567206302521,342,000$
13Cody Ceci (A)X100.00744491737982996425615090258590638475X03211,862,000$
14Travis HamonicX100.00785590737271766225524985258688598371X03521,100,000$
15Artem ZubX100.0075448368768173642556489225686863557003022,402,000$
16Jordan SpenceX100.007643957967709670256849732564656184690252769,000$
17Jayden StrubleX100.008768767778657558255248672560605884650241867,500$
18Robert BortuzzoX100.007699666680554457254946752575785750630371750,000$
19Erik BrannstromXX100.0065638269676557622553516925666660206202631,356,000$
Rayé
1Nikita Prishchepov (R)X100.0073717870717276587354576254444461205902231,306,000$
2Grigori DenisenkoX100.0072707668706162615057606357474862205902521,078,000$
3Brennan Othmann (R)X100.008545967270556659265955572546466120580232863,333$
4Max McCormickX100.007167806467494663505765626244446315570341750,000$
5Gabriel FortierX100.0071648865646366555047586055444459205602621,138,000$
6Cam Squires (R)X100.0055409980662853602550556525444458205502131,285,000$
7Quentin Musty (R)X100.0083769980764344445038446442444453205302031,266,000$
8Kieron Walton (R)X100.0087829980823331445538446642444453205302031,268,000$
9Tobias BjornfotX100.0073439572736180562539476925605957206202511,165,000$
10Nils LundkvistX100.0067428577716659612550476825616259206202521,402,000$
11Ilya Solovyov (R)X100.0079778367777379532549436441454557206102511,183,000$
12Ryan O'RourkeX100.007371796371697546253740593844445220560241894,167$
MOYENNE D’ÉQUIPE100.00756086747364746145575769356061625264
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
1Jordan Binnington100.006888856667747776706791707368897103212,528,000$
2Louis Domingue100.00495063824948495447493059605086540342750,000$
Rayé
1Aaron Dell100.00474658754747505348483044454820510372750,000$
2Henrik Tikkanen (R)100.00434050924243505146473044444620500251823,750$
3Jack Campbell100.00464354804645505348483044454820500343750,000$
MOYENNE D’ÉQUIPE100.0051536279505155575252425253524755
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden45433639424238USA471750,000$


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
1Cole PerfettiBears (WAS)C/LW/RW864052922560138971596811025.16%28177820.68212344582001122726231.52%924519011.03280001067
2Matt CoronatoBears (WAS)LW/RW864528732815582652137111721.13%19152917.784261023000007241.25%805515110.9500001865
3Jack McBainBears (WAS)C8631386912119552541291635810619.02%18171219.9181220281930000209356.80%10742830010.8112425655
4Andrew CoppBears (WAS)C/RW86292251-575471201753910916.57%23170819.8777141916000001110158.39%1493223010.6000100442
5Nic DowdBears (WAS)C8617324972210234129108356915.74%23162518.906612191602022293063.34%9111522000.6002020483
6Jordan SpenceBears (WAS)D8634346204013412810635542.83%92231626.942131518217011274010%03251100.4000000142
7Jason DickinsonBears (WAS)C/RW86192241245840115122151348612.58%18149017.34123226000004065.15%663023000.5500224224
8Kasperi KapanenBears (WAS)LW/RW86211940152098921896010211.11%33148217.2400000000004048.00%503723000.5400000444
9Cody CeciBears (WAS)D865333828401012916511952494.20%101213224.794111525214011068200%02861000.3600011002
10Travis HamonicBears (WAS)D865263129291514912510031265.00%76202323.5344811151000146100%01536000.3100012013
11Artem ZubBears (WAS)D521171812180771034120192.44%57119022.89022284000128000%0526000.3000000000
12Jayden StrubleBears (WAS)D86268-16014663216109.52%23137115.95101467000023000%0317000.1200000000
13Lukas ReichelBears (WAS)LW434260007972457.14%01102.580000200003010%310001.0800000101
14Luke EvangelistaBears (WAS)RW862134007690422.22%11902.2200008000000050.00%270000.3100000000
15Erik BrannstromBears (WAS)LW/D9011-200020000%1364.050000000000000%001000.5500000000
16Tobias BjornfotBears (WAS)D15000-100531000%0724.840000000000000%00000000000000
17Raphael LavoieBears (WAS)C/RW90000001330000%0839.2500000000010038.46%262000000000000
18Robert BortuzzoBears (WAS)D43000100962000%12064.790000000000000%00000000000000
19Brett MurrayBears (WAS)LW52000-5002673010%01753.3700000000000025.00%42100000000000
20Oskar SundqvistBears (WAS)C860001001320110%0560.6500000000000066.67%180000000000000
Statistiques d’équipe totales ou en moyenne134122434256619232614016831376156751286714.29%5142129415.88588214019615133368383461057.66%2475337348240.533127813404038
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
1Jordan BinningtonBears (WAS)86611960.8951.9951452171711628870520.81527860525
2Louis DomingueBears (WAS)30000.65510.3558001029110000086000
Statistiques d’équipe totales ou en moyenne89611960.8912.095203217181165788152278686525


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
Aaron DellBears (WAS)G371989-05-04CANNo210 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Andrew CoppBears (WAS)C/RW311994-07-08USANo203 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Artem ZubBears (WAS)D301995-10-03RUSNo200 Lbs6 ft3NoNoTrade2025-03-17NoNo2FalseFalsePro & Farm2,402,000$0$0$No2,402,000$--------2,968,000$--------No--------Lien
Brennan OthmannBears (WAS)LW232003-01-05CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Brett MurrayBears (WAS)LW271998-07-20CANNo228 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,471,000$0$0$No---------------------------Lien
Cam SquiresBears (WAS)RW212005-04-11CANYes176 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,285,000$0$0$No1,285,000$1,285,000$-------1,285,000$1,285,000$-------NoNo-------Lien
Cody CeciBears (WAS)D321993-12-21CANNo210 Lbs6 ft3NoYesN/ANoNo1FalseFalsePro & Farm1,862,000$0$0$No---------------------------Lien / Lien NHL
Cole PerfettiBears (WAS)C/LW/RW242002-01-01CANNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,127,000$0$0$No1,127,000$--------786,861$--------No--------Lien
Erik BrannstromBears (WAS)LW/D261999-09-02SWENo185 Lbs5 ft10NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,356,000$0$0$No1,356,000$1,356,000$-------1,356,000$1,356,000$-------NoNo-------Lien / Lien NHL
Gabriel FortierBears (WAS)LW262000-02-06CANNo179 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,138,000$0$0$No1,138,000$--------1,138,000$--------No--------Lien
Grigori DenisenkoBears (WAS)LW252000-06-24RUSNo198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,078,000$0$0$No1,078,000$--------993,518$--------No--------Lien
Henrik TikkanenBears (WAS)G252000-09-28FINYes222 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm823,750$0$0$No---------------------------Lien
Ilya SolovyovBears (WAS)D252000-07-20BLRYes208 Lbs6 ft3NoNoN/ANoNo12025-04-30FalseFalsePro & Farm1,183,000$0$0$No---------------------------Lien
Jack CampbellBears (WAS)G341992-01-09USANo200 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Jack McBainBears (WAS)C262000-01-06CANNo219 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm2,234,000$0$0$No2,234,000$2,234,000$-------2,234,000$2,234,000$-------NoNo-------Lien
Jason DickinsonBears (WAS)C/RW301995-07-04CANNo200 Lbs6 ft2NoNoAssign Manually2025-02-04NoNo32025-11-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien / Lien NHL
Jayden StrubleBears (WAS)D242001-09-08USANo207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm867,500$0$0$No---------------------------Lien
Jordan BinningtonBears (WAS)G321993-07-11CANNo172 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,528,000$0$0$No---------------------------Lien / Lien NHL
Jordan SpenceBears (WAS)D252001-02-24AUSNo180 Lbs5 ft11NoNoN/ANoNo22025-04-30FalseFalsePro & Farm769,000$0$0$No769,000$--------769,000$--------No--------Lien
Kasperi KapanenBears (WAS)LW/RW291996-07-23FINNo194 Lbs6 ft1NoYesN/ANoNo32025-10-17FalseFalsePro & Farm1,585,000$0$0$No1,585,000$1,585,000$-------1,585,000$1,585,000$-------NoNo-------Lien / Lien NHL
Kieron WaltonBears (WAS)C202006-04-22ONYes212 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Louis DomingueBears (WAS)G341992-03-06CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22024-09-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Lukas ReichelBears (WAS)LW242002-05-17GERNo170 Lbs6 ft0NoNoN/ANoNo32025-04-30FalseFalsePro & Farm998,000$0$0$No998,000$998,000$-------998,000$998,000$-------NoNo-------Lien
Luke EvangelistaBears (WAS)RW242002-02-21CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm896,667$0$0$No---------------------------Lien
Matt CoronatoBears (WAS)LW/RW232002-11-14USAYes183 Lbs5 ft10NoNoDraftNoNo52025-12-01FalseFalsePro & Farm3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien
Max McCormickBears (WAS)LW341992-05-01USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Nic DowdBears (WAS)C361990-05-27USANo190 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-05FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien / Lien NHL
Nikita PrishchepovBears (WAS)C222004-02-20RUSYes194 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,306,000$0$0$No1,306,000$1,306,000$-------1,306,000$1,306,000$-------NoNo-------Lien
Nils LundkvistBears (WAS)D252000-07-27SWENo191 Lbs6 ft1NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,402,000$0$0$No1,402,000$--------1,402,000$--------No--------Lien
Oskar SundqvistBears (WAS)C321994-03-23SWENo220 Lbs6 ft3NoNoAssign ManuallyNoNo22024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Quentin MustyBears (WAS)LW202005-07-06USAYes205 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Raphael LavoieBears (WAS)C/RW252000-09-25CANYes215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,342,000$0$0$No1,342,000$--------1,342,000$--------No--------Lien
Robert BortuzzoBears (WAS)D371989-03-18CANNo206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Ryan O'RourkeBears (WAS)D242002-05-16CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien
Tobias BjornfotBears (WAS)D252001-04-06SWENo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,165,000$0$0$No---------------------------Lien
Travis HamonicBears (WAS)D351990-08-16CANNo195 Lbs6 ft0NoYesAssign ManuallyNoNo22024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3627.56198 Lbs6 ft22.081,273,900$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt CoronatoJack McBainCole Perfetti34005
2Jason DickinsonNic DowdAndrew Copp33005
3Kasperi KapanenJack McBainJason Dickinson33005
4Matt CoronatoAndrew CoppKasperi Kapanen0005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody CeciJordan Spence40113
2Artem ZubTravis Hamonic40014
3Jordan SpenceJayden Struble20113
4Cody CeciTravis Hamonic0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack McBainMatt CoronatoCole Perfetti60014
2Jason DickinsonNic DowdAndrew Copp40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody CeciJordan Spence60014
2Jayden StrubleTravis Hamonic40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainCole Perfetti60131
2Nic DowdAndrew Copp40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody CeciJordan Spence60131
2Jayden StrubleTravis Hamonic40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Perfetti60032Cody CeciJayden Struble60032
2Nic Dowd40131Jordan SpenceTravis Hamonic40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainCole Perfetti60023
2Nic DowdMatt Coronato40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cody CeciJordan Spence60122
2Jayden StrubleTravis Hamonic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic DowdMatt CoronatoCole PerfettiCody CeciTravis Hamonic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic DowdMatt CoronatoCole PerfettiCody CeciTravis Hamonic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack McBain, Cole Perfetti, Andrew CoppJack McBain, Cole PerfettiJack McBain
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Hamonic, Jordan Spence, Jayden StrubleTravis HamonicTravis Hamonic, Jordan Spence
Tirs de pénalité
Cole Perfetti, Andrew Copp, Matt Coronato, Nic Dowd, Jack McBain
Gardien
#1 : Jordan Binnington, #2 : Louis Domingue


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
1Admirals20000011770100000103211000000145-130.75077140068104110145056074874440521213545120.00%4250.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
2Americans22000000808110000004041100000040441.00081422026810411014415607487444040175505240.00%000%0933153760.70%720124557.83%574100057.40%1736774143586620361072
3Barracuda33000000954220000006331100000032161.00091726006810411014625607487444050222178900.00%330.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
4Bruins21001000312110000002111000100010141.0003580168104110143656074874440126649000%3166.67%1933153760.70%720124557.83%574100057.40%1736774143586620361072
5Canucks211000006421010000013-21100000051420.50069150068104110145056074874440241225010330.00%10100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
6Checkers220000001147110000006421100000050541.000111526016810411014595607487444028106655120.00%3233.33%0933153760.70%720124557.83%574100057.40%1736774143586620361072
7Comets211000007341010000012-11100000061520.50071118006810411014525607487444017519379222.22%20100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
8Condors210000101082100000105411100000054141.000101424006810411014555607487444043132434250.00%110.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
9Crunch220000001468110000006151100000085341.000142438006810411014575607487444034102535240.00%110.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
10Eagles22000000633110000002111100000042241.0006111700681041101437560748744402964426233.33%2150.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
11Griffins5220100019154220000001221030201000713-660.6001931500168104110141155607487444086354211415426.67%60100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
12Gulls22000000817110000002021100000061541.000816240168104110142956074874440331215383266.67%000%0933153760.70%720124557.83%574100057.40%1736774143586620361072
13Heat21100000743110000005141010000023-120.5007111800681041101461560748744403462346350.00%10100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
14IceHogs320001001129210001007251100000040450.833111627026810411014575607487444038119764375.00%20100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
15Islanders522001001316-331100100912-32110000044050.50013203300681041101416256074874440125532510016425.00%10190.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
16Marlies520010201861222000000101930001020853101.000182644026810411014111560748744405928913812325.00%220.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
17Monsters330000001138110000002022200000093661.000111425016810411014695607487444057258805360.00%40100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
18Moose22000000624110000003121100000031241.0006101600681041101443560748744403064578337.50%20100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
19Penguins3100001113761000001032121000001105550.8331317300068104110147456074874440451019979555.56%20100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
20Phantoms53100100151052110000033032000100127570.7001526411268104110141135607487444079271310310440.00%4250.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
21Reign642000002020042200000916-722000000114780.66720325201681041101418256074874440174711313124625.00%4175.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
22Roadrunners522010002221132001000181352020000048-460.60022315300681041101413456074874440161546112120630.00%8187.50%2933153760.70%720124557.83%574100057.40%1736774143586620361072
23Rocket2010100034-1100010003211010000002-220.50035810681041101432560748744402024354125.00%220.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
24Senators211000003211010000012-11100000020220.50035801681041101452560748744402510745200.00%10100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
25Silver Knights21000001862110000005231000000134-130.75081119006810411014575607487444037104467342.86%2150.00%1933153760.70%720124557.83%574100057.40%1736774143586620361072
26Stars2020000003-31010000001-11010000002-200.0000000068104110142356074874440143439400.00%2150.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
27Thunderbirds523000001416-22020000047-332100000109140.4001424380068104110141025607487444019881149124520.83%7271.43%0933153760.70%720124557.83%574100057.40%1736774143586620361072
28Wild22000000853110000003211100000053241.00081119006810411014665607487444063212396233.33%10100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
29Wolf Pack22000000615110000004041100000021141.00061016016810411014435607487444031116475480.00%3166.67%0933153760.70%720124557.83%574100057.40%1736774143586620361072
30Wolves22000000615110000003031100000031241.00061117016810411014415607487444021109389333.33%20100.00%0933153760.70%720124557.83%574100057.40%1736774143586620361072
Total86511905353292186106432610022301429052432590312315096541280.7442924547462176810411014206556074874440165959935019902517931.47%852570.59%4933153760.70%720124557.83%574100057.40%1736774143586620361072
_Since Last GM Reset86511905353292186106432610022301429052432590312315096541280.7442924547462176810411014206556074874440165959935019902517931.47%852570.59%4933153760.70%720124557.83%574100057.40%1736774143586620361072
_Vs Conference532715032421791344526157011209166252712802122886820720.679179275454196810411014130756074874440115441923412361694928.99%571573.68%2933153760.70%720124557.83%574100057.40%1736774143586620361072
_Vs Division221712032207938411010601100441331127602120352510461.045791252041868104110145035607487444030411881549481327.08%18855.56%1933153760.70%720124557.83%574100057.40%1736774143586620361072

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86128L3292454746206516595993501990217
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8651195353292186
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
432610223014290
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43259312315096
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2517931.47%852570.59%4
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
560748744406810411014
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
933153760.70%720124557.83%574100057.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1736774143586620361072


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
12Reign9Bears3LSommaire du match
222Bears1Roadrunners3LSommaire du match
436Bears2Thunderbirds1WSommaire du match
548Islanders8Bears3LSommaire du match
663Bears1Phantoms2LXSommaire du match
777Bears2Marlies1WXXSommaire du match
991Roadrunners5Bears7WSommaire du match
10113Admirals2Bears3WXXSommaire du match
11118Bears5Griffins4WXSommaire du match
13145Reign2Bears3WSommaire du match
14163Griffins2Bears7WSommaire du match
15172Bears7Penguins1WSommaire du match
16194Roadrunners3Bears4WXSommaire du match
17204Bears2Islanders3LSommaire du match
19223Reign5Bears1LSommaire du match
20247Marlies0Bears5WSommaire du match
22261Bears6Phantoms5WSommaire du match
24275Bears2Wolf Pack1WSommaire du match
25293Silver Knights2Bears5WSommaire du match
27314Roadrunners5Bears7WSommaire du match
28330Bears6Comets1WSommaire du match
29342Heat1Bears5WSommaire du match
30357Bears5Phantoms0WSommaire du match
31371Bears5Condors4WSommaire du match
32382Bears8Crunch5WSommaire du match
33395Wolf Pack0Bears4WSommaire du match
34412Phantoms3Bears1LSommaire du match
35433Monsters0Bears2WSommaire du match
37450Bears2Islanders1WSommaire du match
38466Bears4Eagles2WSommaire du match
39476Bears5Checkers0WSommaire du match
40488Eagles1Bears2WSommaire du match
41509Bruins1Bears2WSommaire du match
42524Bears3Moose1WSommaire du match
43538Checkers4Bears6WSommaire du match
44549Bears4IceHogs0WSommaire du match
45568Islanders1Bears4WSommaire du match
46586Bears6Reign2WSommaire du match
47597Bears3Penguins4LXXSommaire du match
48610Griffins0Bears5WSommaire du match
49627Bears1Griffins6LSommaire du match
50643Rocket2Bears3WXSommaire du match
51658Bears0Stars2LSommaire du match
52672Penguins2Bears3WXXSommaire du match
54693Condors4Bears5WXXSommaire du match
55703Bears3Silver Knights4LXXSommaire du match
57724Stars1Bears0LSommaire du match
58737Bears1Bruins0WXSommaire du match
59754Islanders3Bears2LXSommaire du match
60767Bears0Rocket2LSommaire du match
61784Senators2Bears1LSommaire du match
63797Bears2Senators0WSommaire du match
64815Reign0Bears2WSommaire du match
65827Bears5Reign2WSommaire du match
66840Bears1Marlies0WXSommaire du match
68859Gulls0Bears2WSommaire du match
69874Barracuda1Bears2WSommaire du match
70885Bears1Griffins3LSommaire du match
72904Bears5Wild3WSommaire du match
73913Comets2Bears1LSommaire du match
74930Bears5Marlies4WXXSommaire du match
75945Bears4Americans0WSommaire du match
77956Wolves0Bears3WSommaire du match
79978Americans0Bears4WSommaire du match
80997Bears3Monsters2WSommaire du match
811006Bears5Canucks1WSommaire du match
821019Moose1Bears3WSommaire du match
831036Bears6Monsters1WSommaire du match
851047Bears2Heat3LSommaire du match
861058Wild2Bears3WSommaire du match
871078Marlies1Bears5WSommaire du match
891097Bears3Wolves1WSommaire du match
901111Crunch1Bears6WSommaire du match
911131Bears3Barracuda2WSommaire du match
921143Canucks3Bears1LSommaire du match
941159Bears4Admirals5LXXSommaire du match
951171Phantoms0Bears2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971197Barracuda2Bears4WSommaire du match
991221IceHogs0Bears6WSommaire du match
1011233Bears3Roadrunners5LSommaire du match
1021250IceHogs2Bears1LXSommaire du match
1031262Bears6Gulls1WSommaire du match
1051281Bears5Thunderbirds3WSommaire du match
1061289Thunderbirds4Bears2LSommaire du match
1081309Bears3Thunderbirds5LSommaire du match
1101329Thunderbirds3Bears2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets1914
Assistance85,73741,815
Assistance PCT99.69%97.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2966 - 98.88% 76,732$3,299,476$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,117,002$ 4,586,042$ 4,586,042$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
40,947$ 5,367,049$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 47,643$ 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

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 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