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Connexion

Bears
GP: 13 | W: 7 | L: 5 | OTL: 1 | P: 15
GF: 40 | GA: 42 | PP%: 20.69% | PK%: 72.41%
DG: Jeremy Pilon | Morale : 51 | Moyenne d’équipe : 63
Prochains matchs #221 vs Firebirds

Centre de jeu
Bears
7-5-1, 15pts
3
2 Barracuda
4-8-2, 10pts
Team Stats
L1SéquenceL2
5-1-0Fiche domicile1-5-1
2-4-1Fiche domicile3-3-1
5-4-1Derniers 10 matchs4-4-2
3.08Buts par match 3.14
3.23Buts contre par match 3.14
20.69%Pourcentage en avantage numérique31.91%
72.41%Pourcentage en désavantage numérique80.00%
Bears
7-5-1, 15pts
1
4 Crunch
5-7-0, 10pts
Team Stats
L1SéquenceW1
5-1-0Fiche domicile4-3-0
2-4-1Fiche domicile1-4-0
5-4-1Derniers 10 matchs5-5-0
3.08Buts par match 3.50
3.23Buts contre par match 3.25
20.69%Pourcentage en avantage numérique36.67%
72.41%Pourcentage en désavantage numérique81.48%
Firebirds
5-8-0, 10pts
2025-09-23
Bears
7-5-1, 15pts
Statistiques d’équipe
L1SéquenceL1
3-3-0Fiche domicile5-1-0
2-5-0Fiche visiteur2-4-1
4-6-010 derniers matchs5-4-1
3.08Buts par match 3.08
3.69Buts contre par match 3.08
20.59%Pourcentage en avantage numérique20.69%
77.78%Pourcentage en désavantage numérique72.41%
Rocket
8-5-1, 17pts
2025-09-25
Bears
7-5-1, 15pts
Statistiques d’équipe
OTW1SéquenceL1
4-2-0Fiche domicile5-1-0
4-3-1Fiche visiteur2-4-1
7-3-010 derniers matchs5-4-1
3.71Buts par match 3.08
2.93Buts contre par match 3.08
25.00%Pourcentage en avantage numérique20.69%
78.95%Pourcentage en désavantage numérique72.41%
Bears
7-5-1, 15pts
2025-09-26
Wolves
6-6-2, 14pts
Statistiques d’équipe
L1SéquenceL3
5-1-0Fiche domicile3-3-1
2-4-1Fiche visiteur3-3-1
5-4-110 derniers matchs4-5-1
3.08Buts par match 2.43
3.23Buts contre par match 2.43
20.69%Pourcentage en avantage numérique18.42%
72.41%Pourcentage en désavantage numérique74.29%
Meneurs d'équipe
Buts
Jake Virtanen
6
Passes
Michael Downing
10
Points
Jake Virtanen
10
Plus/Moins
Michael Downing
7
Victoires
Jakub Skarek
7
Pourcentage d’arrêts
Ian Scott
0.925

Statistiques d’équipe
Buts pour
40
3.08 GFG
Tirs pour
369
28.38 Avg
Pourcentage en avantage numérique
20.7%
6 GF
Début de zone offensive
38.8%
Buts contre
42
3.23 GAA
Tirs contre
391
30.08 Avg
Pourcentage en désavantage numérique
72.4%%
8 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralJeremy Pilon
EntraîneurKevin Constantine
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 56
Espoirs30


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 Gurianov0XX100.00624993787382926864707062717758585467X02911,200,000$
2Ryan Lomberg0XX100.0077537576687187716469697067765738476603121,200,000$
3Ryan Spooner0XXX97.0059459969707578686168666763736226546503421,200,000$
4Jake Virtanen0XX100.0065459372767383716068686966736046546503031,200,000$
5Walker Duehr0X100.0067469380727181716269667360564754546502821,500,000$
6Greg Meireles0X100.006445957469667374757069716054476254640272900,000$
7Vladislav Kamenev0X100.0064458272697875697770686664575050546403031,000,000$
8Josh Leivo0XX100.0056459769727076696769666766705542546403311,200,000$
9Joni Ikonen0X100.006545877267707666756868636055495854630272800,000$
10Ivan Muranov0XX100.007345797373707072626665745848476254630261750,000$
11Ville Koivunen (R)0X100.006345907368747768507166716350457054630233900,000$
12Maxim Tsyplakov (R)0X100.007145927372698166506565695960454052620281900,000$
13Shakir Mukhamadullin0X100.006645907572797673457267776748466654670242900,000$
14Joshua Jacobs54X100.0062459371777471714568657263614742546503031,200,000$
15Andrei Mironov0X100.0066459070757375714569667264675238546503221,000,000$
16Michael Downing0X100.0066508569737468694565616854736150546403111,200,000$
17Artyom Minulin0X100.006744857271727563456563715654465454630281700,000$
18Ryan O'rourke (R)0X100.006748857270505066456666736345457053610243750,000$
Rayé
1Joakim Nygard0XX100.006145937069677368626468676364463039620332900,000$
2Cameron Hillis (R)0X100.006248727066707065706664686151536037610263750,000$
3Nikita Rtishchev (R)0XX100.006847886870505060576159635650516037580263750,000$
4Linus Arnesson0X100.005945877172736068455748735553514637610321800,000$
5Ronald Brickey0X100.007251837272736459455664705746465839610271500,000$
6Case Mccarthy (R)0X100.006647886870505061456371677145457037590253750,000$
MOYENNE D’ÉQUIPE99.88654688727170726857666569625950525063
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
1Jakub Skarek099.00807676788178757776748047476648620261750,000$
2Ian Scott0100.00766867807675767676767346495458610272600,000$
Rayé
1Remi Poirier0100.00605858806062626262625845516644520242750,000$
MOYENNE D’ÉQUIPE99.6772676779727271727171704649625058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Constantine62776267999915USA672100,000$


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
1Jake VirtanenBears (Was)LW/RW136410-44019740121915.00%024018.4601109000013141.18%1700000.8300000111
2Michael DowningBears (Was)D13010107801468260%1328021.60011523000019000%000000.7100000010
3Shakir MukhamadullinBears (Was)D13369-440892061815.00%2428121.64022723000020010%000000.6400000100
4Andrei MironovBears (Was)D13369620613199815.79%1927821.45112823000021000%000000.6500000000
5Greg MeirelesBears (Was)C134595208292651515.38%219114.69000000001203050.00%24600000.9400000211
6Joshua JacobsBears (Was)D13178-400913159116.67%1528722.10011423000021000%000000.5600000001
7Walker DuehrBears (Was)LW1325702015103010296.67%124618.961015230000210055.00%2000000.5700000000
8Vladislav KamenevBears (Was)C1352706010232682319.23%122217.13112623000000153.41%26400000.6300000100
9Denis GurianovBears (Was)LW/RW13336-4201116355258.57%125219.40202722000000061.54%1300000.4801000010
10Maxim TsyplakovBears (Was)RW123361609101921115.79%120016.70000000001171025.00%1200000.6000000000
11Ville KoivunenBears (Was)RW13246500119222159.09%016913.0400000000000030.00%1000000.7100000011
12Ryan SpoonerBears (Was)C/LW/RW13235-120810256178.00%324418.77011422000060050.51%19800000.4101000000
13Ryan O'rourkeBears (Was)D12235-313587103720.00%819916.661011000000000%000000.5000001000
14Ryan LombergBears (Was)LW/RW822447512102061310.00%011814.75011114000000050.00%1000000.6811001010
15Artyom MinulinBears (Was)D13044-26020126040%1022317.200110000006000%000000.3600000000
16Filip HallanderCapitalsC/LW/RW5123-2205715646.67%09519.0300039000000043.90%12300000.6300000001
17Josh LeivoBears (Was)LW/RW13033-10025134100%21239.49022215000000050.00%1400000.4900000000
18Joni IkonenBears (Was)C13112000510831012.50%01168.93000000001220056.55%14500000.3400000000
19Ivan MuranovBears (Was)LW/RW13011-1206512160%1906.9800000000000033.33%900000.2200000000
20Ronald BrickeyBears (Was)D1000100100000%31515.280000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne2334074114368101872113699925110.84%104387616.64612185323700031807350.60%108100000.5913002565
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
1Jakub SkarekBears (Was)137510.8923.2171100383510000.3333130110
2Ian ScottBears (Was)20000.9252.40750034000000013000
Statistiques d’équipe totales ou en moyenne157510.8953.13786004139100031313110


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
Andrei MironovBears (Was)D321994-07-29RUSNo211 Lbs6 ft2NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Artyom MinulinBears (Was)D281998-01-10RUSNo196 Lbs6 ft3NoNoN/ANoNo12026-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Cameron HillisBears (Was)C262000-06-24CANYes174 Lbs5 ft9NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Case MccarthyBears (Was)D252001-09-01USAYes198 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Denis GurianovBears (Was)LW/RW291997-06-07RUSNo195 Lbs6 ft2NoYesN/ANoNo12026-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Greg MeirelesBears (Was)C271999-01-01CANNo180 Lbs5 ft10NoNoN/ANoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ian ScottBears (Was)G271999-01-11CANNo178 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Ivan MuranovBears (Was)LW/RW261999-10-06RUSNo209 Lbs6 ft4NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jake VirtanenBears (Was)LW/RW301996-08-17CANNo227 Lbs6 ft1NoNoFree AgentNoNo32026-07-13FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Jakub SkarekBears (Was)G261999-11-10CZENo206 Lbs6 ft4NoNoProspectNoNo12024-06-19FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Joakim NygardBears (Was)LW/RW331993-01-08SWENo190 Lbs5 ft11NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Joni IkonenBears (Was)C271999-04-14FINNo172 Lbs5 ft11NoNoN/ANoNo22026-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Josh LeivoBears (Was)LW/RW331993-05-26CANNo192 Lbs6 ft2NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Joshua JacobsBears (Was)D301996-02-15USANo227 Lbs6 ft2NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Linus ArnessonBears (Was)D321994-09-21SWENo188 Lbs6 ft1NoNoN/ANoNo12024-04-29FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Maxim TsyplakovBears (Was)RW281998-09-19RUSYes203 Lbs6 ft3NoNoTrade2026-05-11NoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Michael DowningBears (Was)D311995-05-19USANo204 Lbs6 ft3NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Nikita RtishchevBears (Was)LW/RW262000-05-23RUSYes196 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Remi PoirierBears (Was)G242001-10-06CANNo210 Lbs6 ft2NoNoFree AgentNoNo22025-08-14FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ronald BrickeyBears (Was)D271999-05-27USANo207 Lbs6 ft3NoNoN/ANoNo12026-04-29FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Ryan LombergBears (Was)LW/RW311994-12-09CANNo184 Lbs5 ft9NoNoFree Agent2026-02-14NoNo22026-07-13FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Ryan O'rourkeBears (Was)D242002-05-16CANYes192 Lbs6 ft1NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Ryan SpoonerBears (Was)C/LW/RW341992-01-30CANNo198 Lbs5 ft11NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Shakir MukhamadullinBears (Was)D242002-01-10RUSNo200 Lbs6 ft4NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Ville KoivunenBears (Was)RW232003-06-13FINYes184 Lbs6 ft0NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Vladislav KamenevBears (Was)C301996-08-12RUSNo185 Lbs6 ft2NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Walker DuehrBears (Was)LW281997-11-23USANo210 Lbs6 ft2NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.19197 Lbs6 ft11.96927,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovRyan SpoonerJake Virtanen35023
2Walker DuehrVladislav KamenevMaxim Tsyplakov30023
3Ryan LombergGreg MeirelesVille Koivunen25122
4Josh LeivoJoni IkonenIvan Muranov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinJoshua Jacobs35041
2Andrei MironovMichael Downing35041
3Artyom MinulinRyan O'rourke30041
4Shakir MukhamadullinJoshua Jacobs0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis GurianovRyan SpoonerRyan Lomberg50014
2Josh LeivoVladislav KamenevWalker Duehr50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinJoshua Jacobs50023
2Andrei MironovMichael Downing50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Greg MeirelesWalker Duehr50041
2Joni IkonenMaxim Tsyplakov50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinJoshua Jacobs50041
2Andrei MironovMichael Downing50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Spooner50050Shakir MukhamadullinJoshua Jacobs50050
2Greg Meireles50050Andrei MironovMichael Downing50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan SpoonerDenis Gurianov50023
2Greg MeirelesJake Virtanen50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinJoshua Jacobs50041
2Andrei MironovMichael Downing50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovVladislav KamenevRyan SpoonerShakir MukhamadullinJoshua Jacobs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis GurianovRyan SpoonerWalker DuehrShakir MukhamadullinJoshua Jacobs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Walker Duehr, Josh Leivo, Greg MeirelesWalker Duehr, Josh LeivoWalker Duehr
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Downing, Artyom Minulin, Ryan O'rourkeMichael DowningMichael Downing, Artyom Minulin
Tirs de pénalité
Denis Gurianov, Ryan Spooner, Ryan Lomberg, Jake Virtanen, Walker Duehr
Gardien
#1 : Jakub Skarek, #2 : Ian Scott


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
1Americans21100000330110000002111010000012-120.50036900131214245128961361248104294125.00%2150.00%020541349.64%23144651.79%11120653.88%3152192999517286
2Barracuda11000000321000000000001100000032121.0003690013121422412896136123711618200.00%3166.67%020541349.64%23144651.79%11120653.88%3152192999517286
3Checkers11000000642110000006420000000000021.00061218001312142331289613612414414100.00%2150.00%020541349.64%23144651.79%11120653.88%3152192999517286
4Crunch1010000014-3000000000001010000014-300.000123001312142251289613612258411200.00%2150.00%020541349.64%23144651.79%11120653.88%3152192999517286
5Islanders41201000141402100100011652020000038-540.50014253900131214211012896136121273531579111.11%13376.92%020541349.64%23144651.79%11120653.88%3152192999517286
6Moose11000000431110000004310000000000021.0004812001312142261289613612291271522100.00%10100.00%020541349.64%23144651.79%11120653.88%3152192999517286
7Phantoms1000000134-1000000000001000000134-110.5003580013121423612896136122174125120.00%2150.00%020541349.64%23144651.79%11120653.88%3152192999517286
8SenatorsF1010000036-31010000036-30000000000000.00036900131214239128961361234102193133.33%10100.00%020541349.64%23144651.79%11120653.88%3152192999517286
9Wolves11000000321000000000001100000032121.000347001312142311289613612297612100.00%30100.00%020541349.64%23144651.79%11120653.88%3152192999517286
Total1365010014042-26410100026206724000011422-8150.577407411400131214236912896136123911046818729620.69%29872.41%020541349.64%23144651.79%11120653.88%3152192999517286
_Since Last GM Reset1365010014042-26410100026206724000011422-8150.577407411400131214236912896136123911046818729620.69%29872.41%020541349.64%23144651.79%11120653.88%3152192999517286
_Vs Conference1255010013740-36410100026206614000011120-9130.54237681050013121423451289613612354936216927622.22%26773.08%020541349.64%23144651.79%11120653.88%3152192999517286

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1315L140741143693911046818700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
136510014042
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64110002620
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72400011422
Derniers 10 matchs
WLOTWOTL SOWSOL
441001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
29620.69%29872.41%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
12896136121312142
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
20541349.64%23144651.79%11120653.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3152192999517286


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
1 - 2025-08-262Islanders1Bears5WSommaire du match
4 - 2025-08-2929Bears3Wolves2WSommaire du match
6 - 2025-08-3148Bears1Americans2LSommaire du match
7 - 2025-09-0160Bears1Islanders5LSommaire du match
8 - 2025-09-0268Islanders5Bears6WXSommaire du match
10 - 2025-09-0487Americans1Bears2WSommaire du match
14 - 2025-09-08112Bears3Phantoms4LXXSommaire du match
16 - 2025-09-10126Checkers4Bears6WSommaire du match
18 - 2025-09-12145SenatorsF6Bears3LSommaire du match
20 - 2025-09-14159Bears2Islanders3LSommaire du match
23 - 2025-09-17180Moose3Bears4WSommaire du match
25 - 2025-09-19194Bears3Barracuda2WSommaire du match
27 - 2025-09-21209Bears1Crunch4LSommaire du match
29 - 2025-09-23221Firebirds-Bears-
31 - 2025-09-25241Rocket-Bears-
32 - 2025-09-26250Bears-Wolves-
37 - 2025-10-01278Bears-Checkers-
38 - 2025-10-02289Monsters-Bears-
41 - 2025-10-05304Bears-Wolf Pack-
43 - 2025-10-07317Rocket-Bears-
45 - 2025-10-09336Bears-Wolf Pack-
47 - 2025-10-11346Bears-Marlies-
48 - 2025-10-12357Checkers-Bears-
51 - 2025-10-15378Bears-BruinsF-
52 - 2025-10-16387Eagles-Bears-
55 - 2025-10-19411Islanders-Bears-
58 - 2025-10-22430Bears-StarsF-
60 - 2025-10-24444Marlies-Bears-
62 - 2025-10-26463Bears-Crunch-
64 - 2025-10-28475BruinsF-Bears-
66 - 2025-10-30491Bears-Wranglers-
68 - 2025-11-01504Bears-Checkers-
69 - 2025-11-02515Islanders-Bears-
72 - 2025-11-05539BruinsF-Bears-
74 - 2025-11-07552Bears-Wolves-
76 - 2025-11-09568Bears-Firebirds-
78 - 2025-11-11581PenguinsF-Bears-
81 - 2025-11-14603Wolves-Bears-
83 - 2025-11-16620Bears-Phantoms-
85 - 2025-11-18636Moose-Bears-
87 - 2025-11-20651Bears-Admirals-
90 - 2025-11-23668Bears-Comets-
91 - 2025-11-24676Wolf Pack-Bears-
93 - 2025-11-26695Bears-Reign-
95 - 2025-11-28708Crunch-Bears-
99 - 2025-12-02733Gulls-Bears-
102 - 2025-12-05758Bears-Marlies-
104 - 2025-12-07767Crunch-Bears-
107 - 2025-12-10793Comets-Bears-
109 - 2025-12-12804Bears-Iowa Wild-
111 - 2025-12-14822Bears-Firebirds-
112 - 2025-12-15830Thunderbirds-Bears-
116 - 2025-12-19858Canucks-Bears-
118 - 2025-12-21870Bears-BruinsF-
120 - 2025-12-23888Americans-Bears-
122 - 2025-12-25904Bears-Rocket-
124 - 2025-12-27919Roadrunners-Bears-
126 - 2025-12-29930Bears-Barracuda-
128 - 2025-12-31943Bears-Rocket-
130 - 2026-01-02959Wolf Pack-Bears-
132 - 2026-01-04981Comets-Bears-
134 - 2026-01-06993Bears-Comets-
136 - 2026-01-081007Bears-Moose-
138 - 2026-01-101022SenatorsF-Bears-
140 - 2026-01-121039Bears-Moose-
142 - 2026-01-141051Bears-SenatorsF-
144 - 2026-01-161060Bears-PenguinsF-
145 - 2026-01-171068Marlies-Bears-
147 - 2026-01-191086Bears-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-211099PenguinsF-Bears-
152 - 2026-01-241123Icehogs-Bears-
154 - 2026-01-261138Bears-Silver Knights-
155 - 2026-01-271145Bears-Americans-
158 - 2026-01-301163Condors-Bears-
160 - 2026-02-011178Bears-SenatorsF-
162 - 2026-02-031193Monsters-Bears-
165 - 2026-02-061212Bears-Gulls-
167 - 2026-02-081225Canucks-Bears-
171 - 2026-02-121252Wolves-Bears-
175 - 2026-02-161280Phantoms-Bears-
176 - 2026-02-171288Bears-PenguinsF-
179 - 2026-02-201310Bears-Griffins-
181 - 2026-02-221323Phantoms-Bears-
183 - 2026-02-241339Firebirds-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 178,800$1,072,800$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
394,219$ 2,505,000$ 2,505,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 378,996$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,436,800$ 156 14,158$ 2,208,648$




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