Connexion

Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: JF Langlais | Morale : 50 | Moyenne d’équipe : 58
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJF Langlais
DivisionEst
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs18


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Mark KastelicX100.00807956698475727078636466685650050660231821,667$
2John HaydenXX100.00706562657671726642616066646355050640275800,000$
3Drake CaggiulaXX100.00554768726173706743646259676555050630281980,000$
4Byron FroeseX100.00564565636371716458625758626557050610311850,000$
5Michael Dal ColleXX100.00767690657655565749525469545757050600261750,000$
6Thomas Bordeleau (R)X100.00554069685960616442616253655050050600203916,667$
7Tim SchallerX100.005648676064717161425854555965550505903131,000,000$
8Ryder Korczak (R)X100.00594068645954535447535354575050050550203859,167$
9Alex Vlasic (R)X100.00654772697469616440615568625050050640213916,667$
10Dakota MermisX100.00586259686369696540625466625953050630281655,000$
11Sean DayX100.00665066647165656340615268605350050630241750,000$
12Jack RathboneX100.00584468725862606340575766645250050610231925,000$
13Kaedan Korczak (R)X100.00615262676562616140565361605050050600211795,000$
14Layton Ahac (R)X100.00604568676460585740515161595050050590211897,500$
15Shakir Mukhamadullin (R)X100.00624068676358575740565463595050050590203894,167$
16Kim Nousiainen (R)X100.00544367705659575640515160595050050570213859,167$
Rayé
1Antoine MorandX100.00686685666657614762434359434444050540231778,334$
2Sam MileticXX100.00747194647150514863464362434444050540252894,167$
3Otto Kivenmaki (R)X100.00424079686051594854434044465050050500222560,000$
4Ethan Phillips (R)X100.00373097675449633945353336365454050460213650,000$
MOYENNE D’ÉQUIPE100.0061527267656262594755536057545105059
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Anton Khudobin100.00657070666767696768677179720506303611,100,000$
2Daniil Chechelev (R)100.0062575766615959566059535050050550213650,000$
Rayé
1Kaden Fulcher (R)100.0060575766595756535759535150050540241800,000$
2Dennis Hildeby (R)100.0057575773605655535558535050050540213843,333$
3Colton Point (R)100.0043455695434344474242424440050470241750,000$
MOYENNE D’ÉQUIPE100.005757597358565755565754555205055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alex VlasicBears (Was)D212001-06-05Yes198 Lbs6 ft6NoNoNoNo3Pro & Farm916,667$523,810$0$0$No916,667$916,667$Lien
Antoine MorandBears (Was)C231999-02-18No184 Lbs5 ft11NoNoNoNo1Pro & Farm778,334$444,762$0$0$NoLien
Anton Khudobin (contrat à 1 volet)Bears (Was)G361986-05-07No194 Lbs5 ft11NoNoYesNo1Pro & Farm1,100,000$628,571$200,000$114,286$NoLien
Byron Froese (contrat à 1 volet)Bears (Was)C311991-03-12No203 Lbs6 ft1NoNoYesNo1Pro & Farm850,000$485,714$0$0$NoLien
Colton PointBears (Was)G241998-03-04Yes230 Lbs6 ft5NoNoYesNo1Pro & Farm750,000$428,571$0$0$NoLien
Dakota Mermis (contrat à 1 volet)Bears (Was)D281994-01-05No196 Lbs6 ft0NoNoYesNo1Pro & Farm655,000$374,286$0$0$NoLien
Daniil ChechelevBears (Was)G212001-02-23Yes187 Lbs6 ft3NoNoNoNo3Pro & Farm650,000$371,429$0$0$No650,000$650,000$Lien
Dennis HildebyBears (Was)G212001-08-19Yes234 Lbs6 ft6NoNoNoNo3Pro & Farm843,333$481,905$0$0$No843,333$843,333$
Drake Caggiula (contrat à 1 volet)Bears (Was)LW/RW281994-06-20No176 Lbs5 ft10NoNoYesNo1Pro & Farm980,000$560,000$80,000$45,714$NoLien
Ethan PhillipsBears (Was)RW212001-05-07Yes154 Lbs5 ft9NoNoNoNo3Pro & Farm650,000$371,429$0$0$No650,000$650,000$Lien
Jack RathboneBears (Was)D231999-05-20No176 Lbs5 ft10NoNoNoNo1Pro & Farm925,000$528,571$0$0$NoLien
John Hayden (contrat à 1 volet)Bears (Was)C/RW271995-02-14No223 Lbs6 ft3NoNoYesNo5Pro & Farm800,000$457,143$0$0$No800,000$800,000$800,000$800,000$Lien
Kaden FulcherBears (Was)G241998-09-23Yes198 Lbs6 ft4NoNoYesNo1Pro & Farm800,000$457,143$0$0$NoLien
Kaedan KorczakBears (Was)D212001-01-29Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm795,000$454,286$0$0$NoLien
Kim NousiainenBears (Was)D212000-11-14Yes170 Lbs5 ft9NoNoNoNo3Pro & Farm859,167$490,953$0$0$No859,167$859,167$Lien
Layton AhacBears (Was)D212001-02-22Yes187 Lbs6 ft2NoNoNoNo1Pro & Farm897,500$512,857$0$0$NoLien
Mark KastelicBears (Was)C231999-03-11No233 Lbs6 ft3NoNoNoNo1Pro & Farm821,667$469,524$0$0$NoLien
Michael Dal ColleBears (Was)LW/RW261996-06-20No200 Lbs6 ft3NoNoYesNo1Pro & Farm750,000$428,571$0$0$NoLien
Otto KivenmakiBears (Was)C222000-03-24Yes172 Lbs5 ft9NoNoNoNo2Pro & Farm560,000$320,000$0$0$No560,000$Lien
Ryder KorczakBears (Was)C202002-09-23Yes174 Lbs5 ft11NoNoNoNo3Pro & Farm859,167$490,953$0$0$No859,167$859,167$
Sam MileticBears (Was)C/LW251997-05-04No196 Lbs6 ft0NoNoYesNo2Pro & Farm894,167$510,953$0$0$No894,167$Lien
Sean DayBears (Was)D241998-01-09No218 Lbs6 ft3NoNoYesNo1Pro & Farm750,000$428,571$0$0$NoLien
Shakir MukhamadullinBears (Was)D202002-01-10Yes179 Lbs6 ft4NoNoNoNo3Pro & Farm894,167$510,953$0$0$No894,167$894,167$
Thomas BordeleauBears (Was)C202002-01-03Yes174 Lbs5 ft10NoNoNoNo3Pro & Farm916,667$523,810$0$0$No916,667$916,667$
Tim Schaller (contrat à 1 volet)Bears (Was)LW311990-11-16No205 Lbs6 ft2NoNoYesNo3Pro & Farm1,000,000$571,429$100,000$57,143$No1,000,000$1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.08194 Lbs6 ft11.96827,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark KastelicDrake Caggiula40122
2Thomas Bordeleau30122
3Ryder Korczak20122
4Mark Kastelic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicJack Rathbone40122
2Kaedan KorczakShakir Mukhamadullin30122
3Layton AhacKim Nousiainen20122
4Alex VlasicJack Rathbone10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark KastelicDrake Caggiula60122
2Thomas Bordeleau40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mark Kastelic60122
2Drake CaggiulaThomas Bordeleau40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Alex VlasicJack Rathbone60122
2Mark Kastelic40122Kaedan KorczakShakir Mukhamadullin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark Kastelic60122
2Drake CaggiulaThomas Bordeleau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark KastelicDrake CaggiulaAlex VlasicJack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mark KastelicDrake CaggiulaAlex VlasicJack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryder Korczak, , Ryder Korczak,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Layton Ahac, Kim Nousiainen, Kaedan KorczakLayton AhacKim Nousiainen, Kaedan Korczak
Tirs de pénalité
, Mark Kastelic, Drake Caggiula, Thomas Bordeleau, Ryder Korczak
Gardien
#1 : Daniil Chechelev, #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,531,085$ 1,531,085$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 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