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Connexion

Bears
GP: 8 | W: 4 | L: 3 | OTL: 1 | P: 9
GF: 35 | GA: 23 | PP%: 16.67% | PK%: 100.00%
DG: Jean-Francois Guérin | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #144 vs Reign

Centre de jeu
Rocket
0-8-0, 0pts
1
11 Bears
4-3-1, 9pts
Team Stats
L8SéquenceL1
0-5-0Fiche domicile3-1-1
0-3-0Fiche domicile1-2-0
0-8-0Derniers 10 matchs4-3-1
1.25Buts par match 4.38
10.00Buts contre par match 2.88
0.00%Pourcentage en avantage numérique16.67%
42.86%Pourcentage en désavantage numérique100.00%
Comets
6-1-1, 13pts
4
3 Bears
4-3-1, 9pts
Team Stats
W2SéquenceL1
4-0-1Fiche domicile3-1-1
2-1-0Fiche domicile1-2-0
6-1-1Derniers 10 matchs4-3-1
4.38Buts par match 4.38
4.00Buts contre par match 2.88
25.93%Pourcentage en avantage numérique16.67%
75.00%Pourcentage en désavantage numérique100.00%
Reign
4-2-0, 8pts
2026-10-20
Bears
4-3-1, 9pts
Statistiques d’équipe
L1SéquenceL1
2-1-0Fiche domicile3-1-1
2-1-0Fiche visiteur1-2-0
4-2-010 derniers matchs4-3-1
4.00Buts par match 4.38
2.83Buts contre par match 4.38
22.73%Pourcentage en avantage numérique16.67%
78.26%Pourcentage en désavantage numérique100.00%
Americans
6-3-0, 12pts
2026-10-24
Bears
4-3-1, 9pts
Statistiques d’équipe
W1SéquenceL1
3-2-0Fiche domicile3-1-1
3-1-0Fiche visiteur1-2-0
6-3-010 derniers matchs4-3-1
5.33Buts par match 4.38
2.44Buts contre par match 4.38
19.23%Pourcentage en avantage numérique16.67%
72.22%Pourcentage en désavantage numérique100.00%
Phantoms
7-4-0, 14pts
2026-10-28
Bears
4-3-1, 9pts
Statistiques d’équipe
L2SéquenceL1
3-3-0Fiche domicile3-1-1
4-1-0Fiche visiteur1-2-0
6-4-010 derniers matchs4-3-1
3.27Buts par match 4.38
2.91Buts contre par match 4.38
37.50%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Alex BumpButs
Alex Bump
8
Jesper BoqvistPasses
Jesper Boqvist
6
Alex BumpPoints
Alex Bump
11
Jesper BoqvistPlus/Moins
Jesper Boqvist
7
Dennis HildebyVictoires
Dennis Hildeby
4
Dennis HildebyPourcentage d’arrêts
Dennis Hildeby
0.904

Statistiques d’équipe
Buts pour
35
4.38 GFG
Tirs pour
318
39.75 Avg
Pourcentage en avantage numérique
16.7%
5 GF
Début de zone offensive
42.9%
Buts contre
23
2.88 GAA
Tirs contre
234
29.25 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur généralJean-Francois Guérin
EntraîneurGuy Boucher
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,627
Billets de saison3,750


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 70
Espoirs62


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
1Alex Bump (R)X100.00643786687389806763666862676465040660233925,000$
2Maxim TsyplakovXX100.00764089708481846758686063646869040660282925,000$
3Jesper BoqvistXX100.00803594727681896473626166637072040660282925,000$
4Max SassonXXX100.006437907074818664726166626567680406502611,499,999$
5Jacob QuillanXX100.007139856478808561656260686364660406402521,010,000$
6Viljami Marjala (R)X100.00613791647081876373695961626365040640243925,000$
7Shane Lachance (R)X100.00733992618581845867596062596365040630243925,000$
8Kenny Connors (R)X100.00683886617779855963605762586365040620243925,000$
9Trevor Connelly (R)X100.00573985656785776474685958636062040620213925,000$
10William StromgrenXX100.00643984627875865966635658616365040620241925,000$
11Viktor NeuchevXX100.00643794617384795962605758566365040610231925,000$
12Quentin Musty (R)X100.00714276598079835855565754596163040600223925,000$
13Seamus CaseyX100.00603691686780736630686763556264040650232925,000$
14Sam Rinzel (R)X100.00744078688588906730695864516263040650233925,000$
15Tyson Jugnauth (R)X100.00603881626975875930665657496264040610233925,000$
16Viliam Kmec (R)X100.00743988578366845830625259466264040610233925,000$
17Carson LambosX100.00643979597775865730555461456365040600241925,000$
18Sean Behrens (R)X100.00573787626664695830605456476365040600243925,000$
Rayé
1Vilmer Alriksson (R)X100.00864666559575765457525660536163040600223925,000$
2Kalle Vaisanen (R)X100.00733795548265695256505355516365040580243925,000$
3Cameron ButlerXX100.007946585488676952555153575264660405802521,499,999$
4Austin Roest (R)X100.00583883566765755360545251556264040570233925,000$
5Jesse PulkkinenX100.00844092559363655430535059456264040600222925,000$
6Blake SmithX100.008063565489628353305251584562640405802231,000,000$
7Lukas Dragicevic (R)X100.00663984567563675430575255456163040580223925,000$
MOYENNE D’ÉQUIPE100.0069408461787580595260576055636504062
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
1Dennis Hildeby100.00808682987978807978807965730406902621,499,999$
2Hampton Slukynsky (R)100.0078716873777678777678776165040680223925,000$
Rayé
1Carl Lindbom100.0078868275777678777678776369040680242925,000$
2Kevin Reidler (R)100.0065716797646365646365646267040610223925,000$
MOYENNE D’ÉQUIPE100.007579758674737574737574636904067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher77697967787371CAN541750,000$


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
1Alex BumpBears (WSH)LW7831162042442142519.05%418025.761127231012170050.00%5600011.2200000110
2Jesper BoqvistBears (WSH)C/LW736972011192572312.00%115121.641126230221181063.58%17300001.1900000010
3Jacob QuillanBears (WSH)C/LW83580401416367388.33%115319.22101925000080047.06%1700001.0400000001
4William StromgrenBears (WSH)LW/RW8358200871751817.65%014317.91022525000000155.56%900001.1200000100
5Maxim TsyplakovBears (WSH)LW/RW72575001617249238.33%314220.37101923000090047.06%1700000.9800000011
6Seamus CaseyBears (WSH)D8257300315316126.45%1419924.960111726011021000%000000.7000000000
7Sam RinzelBears (WSH)D8167480298241114.17%1119624.500221126000116000%000000.7100000100
8Shane LachanceBears (WSH)LW834702010131361423.08%411714.6600010011070070.59%1700001.1900000000
9Tyson JugnauthBears (WSH)D815672083104510.00%216620.77112324000017100%000000.7200000000
10Viljami MarjalaBears (WSH)C8156-200820176245.88%111614.6000000000060060.16%12800001.0300000000
11Max SassonBears (WSH)C/LW/RW83361408193612228.33%715719.640007250000111053.98%17600000.7600000001
12Sean BehrensBears (WSH)D8044-3001054120%512215.3000000000010000%000000.6500000000
13Carson LambosBears (WSH)D8213-34012760233.33%411614.580000000003100%000000.5100000000
14Trevor ConnellyBears (WSH)LW81232202960316.67%2506.3600000000000050.00%2800001.1800000000
15Viliam KmecBears (WSH)D8112712017766616.67%515819.77000323101110000%000000.2500000000
16Viktor NeuchevBears (WSH)LW/RW8112-10065157116.67%110813.5900000000000075.00%400000.3700000000
17Kenny ConnorsBears (WSH)C8011220454150%0516.4000000000000055.26%3800000.3900000000
18Quentin MustyBears (WSH)LW8011-100112220%0243.0000000000000066.67%300000.8300000000
19Jesse PulkkinenBears (WSH)D1000000000000%000.920000000000000%00000000000000
20Kalle VaisanenBears (WSH)LW1000000000000%000.270000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne143356398364401712003189424611.01%65235716.4958137825224651624157.51%66600010.8300000333
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
1Dennis HildebyBears (WSH)84210.9042.7845300212180010080010
2Carl LindbomBears (WSH)10100.9332.4025001150000007000
Statistiques d’équipe totales ou en moyenne94310.9062.764780022233001087010


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alex BumpBears (WSH)LW232003-11-20USAYes195 Lbs183 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Austin RoestBears (WSH)C232004-01-22CANYes184 Lbs178 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Blake SmithBears (WSH)D222004-10-05CANNo211 Lbs193 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Cameron ButlerBears (WSH)LW/RW252002-06-09CANNo210 Lbs193 CMNoNoAssign ManuallyNoNo22024-07-22FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Carl LindbomBears (WSH)G242003-05-20SWENo186 Lbs185 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Carson LambosBears (WSH)D242003-01-14CANNo197 Lbs185 CMNoNoAssign ManuallyNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Dennis HildebyBears (WSH)G262001-08-19SWENo231 Lbs201 CMNoNoAssign ManuallyNoNo22024-07-05FalseFalsePro & Farm1,499,999$0$0$No1,499,999$--------1,499,999$--------No--------Lien / Lien NHL
Hampton SlukynskyBears (WSH)G222005-07-02USAYes179 Lbs185 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jacob QuillanBears (WSH)C/LW252002-02-02CANNo204 Lbs185 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm1,010,000$0$0$No1,010,000$--------1,010,000$--------No--------Lien / Lien NHL
Jesper BoqvistBears (WSH)C/LW281998-10-30SWENo191 Lbs185 CMNoNoTrade2024-03-09NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jesse PulkkinenBears (WSH)D222004-12-27FINNo203 Lbs198 CMNoNoDraftNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Kalle VaisanenBears (WSH)LW242003-01-28FINYes178 Lbs193 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Kenny ConnorsBears (WSH)C242003-03-10USAYes199 Lbs185 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Kevin ReidlerBears (WSH)G222004-09-02SWEYes209 Lbs201 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Lukas DragicevicBears (WSH)D222005-04-25CANYes190 Lbs185 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Max SassonBears (WSH)C/LW/RW262000-09-05USANo181 Lbs185 CMNoNoAssign ManuallyNoNo12024-07-22FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Maxim TsyplakovBears (WSH)LW/RW281998-09-19RUSNo203 Lbs191 CMNoNoDraftNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Quentin MustyBears (WSH)LW222005-07-06USAYes200 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Sam RinzelBears (WSH)D232004-06-25USAYes194 Lbs193 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Seamus CaseyBears (WSH)D232004-01-08USANo181 Lbs178 CMNoNoProspectNoNo22025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sean BehrensBears (WSH)D242003-03-31USAYes177 Lbs178 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Shane LachanceBears (WSH)LW242003-08-30USAYes195 Lbs193 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Trevor ConnellyBears (WSH)LW212006-02-28USAYes156 Lbs183 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Tyson JugnauthBears (WSH)D232004-04-17CANYes183 Lbs180 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Viktor NeuchevBears (WSH)LW/RW232003-10-25RUSNo165 Lbs188 CMNoNoProspectNoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Viliam KmecBears (WSH)D232004-01-02SVKYes212 Lbs188 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Viljami MarjalaBears (WSH)C242003-01-29FINYes178 Lbs183 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Vilmer AlrikssonBears (WSH)LW222005-02-18SWEYes214 Lbs198 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
William StromgrenBears (WSH)LW/RW242003-06-07SWENo175 Lbs191 CMNoNoTrade2025-02-05NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2923.66192 Lbs188 CM2.45990,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kenny ConnorsTrevor ConnellyQuentin Musty40122
2Jacob QuillanMax SassonWilliam Stromgren30122
3Shane LachanceViljami MarjalaViktor Neuchev20122
4Trevor ConnellyKenny ConnorsMax Sasson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam RinzelSeamus Casey40122
2Tyson JugnauthViliam Kmec30122
3Carson LambosSean Behrens20122
4Sam RinzelSeamus Casey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shane LachanceViljami MarjalaQuentin Musty60122
2Jacob QuillanMax SassonWilliam Stromgren40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam RinzelSeamus Casey60122
2Tyson JugnauthViliam Kmec40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Viljami MarjalaJacob Quillan60122
2Shane LachanceMax Sasson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam RinzelSeamus Casey60122
2Tyson JugnauthViliam Kmec40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Sasson60122Sam RinzelSeamus Casey60122
2Viljami Marjala40122Tyson JugnauthViliam Kmec40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Viljami MarjalaJacob Quillan60122
2William StromgrenMax Sasson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam RinzelSeamus Casey60122
2Tyson JugnauthViliam Kmec40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viljami MarjalaMax SassonJacob QuillanSam RinzelSeamus Casey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Viljami MarjalaMax SassonJacob QuillanSam RinzelSeamus Casey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Quentin Musty, Viljami Marjala, Shane LachanceQuentin Musty, Viljami MarjalaShane Lachance
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Carson Lambos, Sean Behrens, Tyson JugnauthCarson LambosSean Behrens, Tyson Jugnauth
Tirs de pénalité
Jacob Quillan, Trevor Connelly, Kenny Connors, Max Sasson, Viljami Marjala
Gardien
#1 : Dennis Hildeby, #2 : Hampton Slukynsky


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
1Comets1010000034-11010000034-10000000000000.0003581020960301039611903581016100.00%50100.00%016428557.54%13725254.37%8212864.06%2171571635610052
2Crunch1010000045-1000000000001010000045-100.00048120020960381039611903054224125.00%20100.00%016428557.54%13725254.37%8212864.06%2171571635610052
3Firebirds1000010056-11000010056-10000000000010.50051015002096033103961190328419500.00%20100.00%016428557.54%13725254.37%8212864.06%2171571635610052
4Penguins11000000514110000005140000000000021.00059140020960291039611903016619200.00%20100.00%016428557.54%13725254.37%8212864.06%2171571635610052
5Rocket110000001111011000000111100000000000021.0001119300020960801039611901334202150.00%20100.00%216428557.54%13725254.37%8212864.06%2171571635610052
6Wolf Pack11000000312110000003120000000000021.0003470020960551039611903496239222.22%30100.00%016428557.54%13725254.37%8212864.06%2171571635610052
7Wolves2110000045-1000000000002110000045-120.5004812002096053103961190601610527114.29%50100.00%016428557.54%13725254.37%8212864.06%2171571635610052
Total843001003523125310010027131431200000810-290.5633563981020960318103961190234654417130516.67%210100.00%216428557.54%13725254.37%8212864.06%2171571635610052
_Since Last GM Reset843001003523125310010027131431200000810-290.5633563981020960318103961190234654417130516.67%210100.00%216428557.54%13725254.37%8212864.06%2171571635610052
_Vs Conference74300000301713431000002271531200000810-280.5713053831020960285103961190202574015225520.00%190100.00%216428557.54%13725254.37%8212864.06%2171571635610052
_Vs Division53200000151143210000011652110000045-160.6001526411020960167103961190159493211019315.79%150100.00%016428557.54%13725254.37%8212864.06%2171571635610052

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
89L1356398318234654417110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
84301003523
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53101002713
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000810
Derniers 10 matchs
WLOTWOTL SOWSOL
430100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
30516.67%210100.00%2
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
10396119020960
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
16428557.54%13725254.37%8212864.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2171571635610052


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
4 - 2026-10-0220Bears0Wolves2LSommaire du match
5 - 2026-10-0327Bears4Crunch5LSommaire du match
9 - 2026-10-0755Penguins1Bears5WSommaire du match
11 - 2026-10-0966Wolf Pack1Bears3WSommaire du match
13 - 2026-10-1186Firebirds6Bears5LXSommaire du match
15 - 2026-10-1396Bears4Wolves3WSommaire du match
16 - 2026-10-14107Rocket1Bears11WSommaire du match
19 - 2026-10-17126Comets4Bears3LSommaire du match
22 - 2026-10-20144Reign-Bears-
26 - 2026-10-24168Americans-Bears-
30 - 2026-10-28202Phantoms-Bears-
31 - 2026-10-29203Bears-Admirals-
34 - 2026-11-01231Wild-Bears-
36 - 2026-11-03238Stars-Bears-
40 - 2026-11-07272Checkers-Bears-
43 - 2026-11-10291Bears-Senators-
45 - 2026-11-12306Bears-Comets-
47 - 2026-11-14321Comets-Bears-
50 - 2026-11-17342Bears-Crunch-
52 - 2026-11-19347Americans-Bears-
53 - 2026-11-20372Bears-Bruins-
57 - 2026-11-24387Phantoms-Bears-
58 - 2026-11-25402Checkers-Bears-
59 - 2026-11-26422Bears-Thunderbirds-
62 - 2026-11-29441Canucks-Bears-
64 - 2026-12-01454Bears-Condors-
66 - 2026-12-03465Bears-Heat-
68 - 2026-12-05483Bears-Canucks-
71 - 2026-12-08501Bears-Firebirds-
73 - 2026-12-10522Bears-Eagles-
76 - 2026-12-13545Bears-Stars-
78 - 2026-12-15555Griffins-Bears-
80 - 2026-12-17570Thunderbirds-Bears-
82 - 2026-12-19587Bears-Marlies-
84 - 2026-12-21609Monsters-Bears-
86 - 2026-12-23623Condors-Bears-
88 - 2026-12-25641Bears-Sound Tigers-
89 - 2026-12-26643Bears-Monsters-
91 - 2026-12-28666Senators-Bears-
93 - 2026-12-30674Marlies-Bears-
95 - 2027-01-01691Bears-Reign-
97 - 2027-01-03706Bears-Barracuda-
99 - 2027-01-05724Bears-Gulls-
101 - 2027-01-07730Silver Knights-Bears-
103 - 2027-01-09749Wolves-Bears-
105 - 2027-01-11760Eagles-Bears-
107 - 2027-01-13776Bears-Penguins-
108 - 2027-01-14790Rocket-Bears-
111 - 2027-01-17808Sound Tigers-Bears-
113 - 2027-01-19825Bears-Comets-
118 - 2027-01-24862Bears-Roadrunners-
119 - 2027-01-25867Bears-Silver Knights-
122 - 2027-01-28886Moose-Bears-
123 - 2027-01-29894Bears-Checkers-
129 - 2027-02-04915Bears-Rocket-
130 - 2027-02-05928Roadrunners-Bears-
132 - 2027-02-07942Gulls-Bears-
135 - 2027-02-10962Barracuda-Bears-
137 - 2027-02-12980Admirals-Bears-
139 - 2027-02-14994Wolf Pack-Bears-
141 - 2027-02-161011Bears-Bruins-
142 - 2027-02-171015Bears-Wolf Pack-
145 - 2027-02-201040Bears-Sound Tigers-
147 - 2027-02-221052Wolves-Bears-
149 - 2027-02-241064Bears-Moose-
151 - 2027-02-261080Bears-Wild-
153 - 2027-02-281099Heat-Bears-
154 - 2027-03-011106Bears-IceHogs-
157 - 2027-03-041128Bears-Penguins-
159 - 2027-03-061144Crunch-Bears-
161 - 2027-03-081157Sound Tigers-Bears-
162 - 2027-03-091163Bears-Americans-
165 - 2027-03-121189Bears-Wolf Pack-
167 - 2027-03-141199Griffins-Bears-
168 - 2027-03-151209Bears-Griffins-
170 - 2027-03-171225Bruins-Bears-
172 - 2027-03-191241Bears-Marlies-
174 - 2027-03-211252IceHogs-Bears-
176 - 2027-03-231264Bears-Phantoms-
178 - 2027-03-251281Monsters-Bears-
179 - 2027-03-261291Penguins-Bears-
181 - 2027-03-281303Bears-Monsters-
183 - 2027-03-301321Bears-Senators-
185 - 2027-04-011338Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance13,6969,439
Assistance PCT91.31%94.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 4627 - 92.54% 141,324$706,618$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
409,533$ 2,871,000$ 2,871,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 324,399$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,087,650$ 164 19,573$ 3,209,972$




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