Connexion

Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Samuel Moisan | Morale : 50 | Moyenne d’équipe : N/A
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
Information d’équipe

Directeur généralSamuel Moisan
EntraîneurDavid Hakstol
DivisionEast
ConférenceDivison Central-East
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 60
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique26-25-3 (0.481%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Eric Robinson0XX100.00824597627562906444646671255859050002700$
2Marco Rossi0X100.0067529283706982756072686575555505000202894,167$
3Michael Dal Colle0XX100.00774494667661636132615656255758050002600$
4Gregory Hofmann0XX100.00736080807070647062646470606060050002900$
5Phillip Di Giuseppe0XX100.00904687797058716338685664256061050002800$
6Ryan MacInnis0XX100.00774499647755586056505569254646050002600$
7Sasha Chmelevski0XX100.00716879656863636379606362604444050002300$
8David Cotton (R)0X100.00777580657557566480547166674444050002500$
9Connor Zary (R)0X100.0071658658655756648061636360444405000202894,167$
10Nate Schnarr (R)0X100.0075708861706263587354576354444405000231786,667$
11Vitaly Kravtsov (R)0XX100.00634293657162606025605963254545050002200$
12Nathan Clurman (R)0X100.0077728965726563522546406838646505000241842,500$
13Juuso Riikola0X100.00824389736860466524494655255353050002800$
14Lucas Carlsson0X100.00654294657061665925474773254546050002500$
15John Ludvig (R)0X100.0074757263755859572551496247444405000211853,333$
16Chris Bigras0X100.00767188637155565325464266405757050002700$
Rayé
MOYENNE D’ÉQUIPE100.007557886771616462475756654251520500
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
1Hugo Alnefelt (R)100.004953668047495054484830444406000212850,833$
2Ville Husso100.0056636081615159576156754545050002700$
3Ian Scott (R)100.0043405076414150504546304444050002300$
Rayé
MOYENNE D’ÉQUIPE100.00495259795047535451504544440530
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Hakstol76687469797275CAN546850,000$


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
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire 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 10Link
Chris BigrasBears (WAS)D271995-02-21No191 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Connor ZaryBears (WAS)C202001-09-25Yes179 Lbs6 ft0NoNoNo2Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$Lien NHL
David CottonBears (WAS)C251997-07-09Yes201 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
Eric RobinsonBears (WAS)LW/RW271995-06-14No200 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Gregory Hofmann (contrat à 1 volet)Bears (WAS)C/LW291992-11-13 15:29:24No175 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Hugo AlnefeltBears (WAS)G212001-06-04 15:53:54Yes177 Lbs6 ft2NoNoNo2Pro & Farm850,833$850,833$850,833$850,833$0$0$No850,833$Lien NHL
Ian ScottBears (WAS)G231999-01-10Yes181 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
John LudvigBears (WAS)D212000-08-02Yes205 Lbs6 ft1NoNoNo1Pro & Farm853,333$853,333$853,333$853,333$0$0$NoLien / Lien NHL
Juuso RiikolaBears (WAS)D281993-11-09No189 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Lucas CarlssonBears (WAS)D251997-07-05No190 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Marco RossiBears (WAS)C202001-09-23 07:45:30No183 Lbs5 ft9NoNoNo2Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$Lien NHL
Michael Dal ColleBears (WAS)LW/RW261996-06-20No200 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nate SchnarrBears (WAS)C231999-02-25Yes180 Lbs6 ft3NoNoNo1Pro & Farm786,667$786,667$786,667$786,667$0$0$NoLien
Nathan ClurmanBears (WAS)D241998-05-08 15:28:08Yes205 Lbs6 ft2NoNoNo1Pro & Farm842,500$842,500$842,500$842,500$0$0$NoLien NHL
Phillip Di GiuseppeBears (WAS)LW/RW281993-10-09No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Ryan MacInnisBears (WAS)C/LW261996-02-14No201 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Sasha ChmelevskiBears (WAS)C/RW231999-06-09No187 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Ville HussoBears (WAS)G271995-02-05No205 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Vitaly KravtsovBears (WAS)LW/RW221999-12-23Yes189 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1924.47191 Lbs6 ft10.47269,561$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonGregory HofmannPhillip Di Giuseppe40122
2David Cotton30122
3Michael Dal ColleSasha ChmelevskiVitaly Kravtsov20122
4Ryan MacInnisNate SchnarrGregory Hofmann10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Bigras40122
2John LudvigNate Schnarr30122
3Ryan MacInnis20122
4Chris Bigras10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonGregory HofmannPhillip Di Giuseppe60122
2David Cotton40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Bigras60122
2John LudvigNate Schnarr40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Gregory HofmannEric Robinson60122
2Phillip Di Giuseppe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Bigras60122
2John Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gregory Hofmann60122Chris Bigras60122
2Eric Robinson40122John Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gregory HofmannEric Robinson60122
2Phillip Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Bigras60122
2John Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonGregory HofmannPhillip Di GiuseppeChris Bigras
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonGregory HofmannPhillip Di GiuseppeChris Bigras
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sasha Chmelevski, Michael Dal Colle, Vitaly KravtsovSasha Chmelevski, Michael Dal ColleVitaly Kravtsov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Ludvig, , Chris BigrasJohn Ludvig, Chris Bigras
Tirs de pénalité
Gregory Hofmann, Eric Robinson, Phillip Di Giuseppe, ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Gregory Hofmann, Eric Robinson, Phillip Di Giuseppe, , , David Cotton, David Cotton, Sasha Chmelevski, Michael Dal Colle, Vitaly Kravtsov, Nate Schnarr
Lignes de défense personnalisées en prolongation
, Chris Bigras, John Ludvig, ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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 billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,841,250$ 3,841,250$ 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$ 0 0$ 0$




Bears Leaders statistiques (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
1Christian Djoos56113546-102210310710.28%62134424.01111425860221200.00%00.6800
2Michael Bunting5613233642991638415.48%7112820.1579162900023140.22%00.6415
3Martin Frk5617183562250781829.34%9126422.5929115210163232.52%00.5515
4Josh Currie561717345428311410116.83%3102418.30510153120252260.55%10.6612
5Juuso Riikola56225270708439484.17%38116620.83189380001000.00%00.4600

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
1Ian Scott56262550.8642.48329510213610000210.62516

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
156242500223129144-15281211001136373-10281214001106671-557129224353113840493114936836440526103632770110103454713.62%3074286.32%3819160651.00%639139945.68%38079947.56%13479181339424704355
Total Saison régulière56242500223129144-15281211001136373-10281214001106671-557129224353113840493114936836440526103632770110103454713.62%3074286.32%3819160651.00%639139945.68%38079947.56%13479181339424704355

Bears Leaders statistiques (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