Connexion

Bears
GP: 74 | W: 36 | L: 29 | OTL: 9 | P: 81
GF: 194 | GA: 190 | PP%: 20.13% | PK%: 81.88%
DG: Frédéric Tremblay | Morale : 71 | Moyenne d’équipe : N/A
Prochains matchs #1191 vs SKA
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Centre de jeu
Islanders
40-25-9, 89pts
3
FINAL
2 Bears
36-29-9, 81pts
Team Stats
W1StreakL1
22-11-4Home Record18-13-6
18-14-5Away Record18-16-3
9-1-0Last 10 Games5-4-1
2.96Buts par match 2.62
2.72Buts contre par match 2.57
18.25%Pourcentage en avantage numérique20.13%
80.65%Pourcentage en désavantage numérique81.88%
Stars
27-46-1, 55pts
6
FINAL
2 Bears
36-29-9, 81pts
Team Stats
W1StreakL1
18-18-1Home Record18-13-6
9-28-0Away Record18-16-3
4-6-0Last 10 Games5-4-1
2.35Buts par match 2.62
3.35Buts contre par match 2.57
18.55%Pourcentage en avantage numérique20.13%
76.32%Pourcentage en désavantage numérique81.88%
SKA
40-26-8, 88pts
2024-03-29
Bears
36-29-9, 81pts
Statistiques d’équipe
L1SéquenceL1
22-11-4Fiche domicile18-13-6
18-15-4Fiche visiteur18-16-3
4-6-010 derniers matchs5-4-1
2.74Buts par match 2.62
2.49Buts contre par match 2.62
24.12%Pourcentage en avantage numérique20.13%
79.87%Pourcentage en désavantage numérique81.88%
Bears
36-29-9, 81pts
2024-04-03
Wolves
49-19-7, 105pts
Statistiques d’équipe
L1SéquenceW1
18-13-6Fiche domicile22-11-4
18-16-3Fiche visiteur27-8-3
5-4-110 derniers matchs6-2-2
2.62Buts par match 3.12
2.57Buts contre par match 3.12
20.13%Pourcentage en avantage numérique29.79%
81.88%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Pavel Kousal
26
Passes
Pavel Kousal
40
Points
Pavel Kousal
66
David QuennevillePlus/Moins
David Quenneville
14
Jonathan BernierVictoires
Jonathan Bernier
36
Jonathan BernierPourcentage d’arrêts
Jonathan Bernier
0.94

Statistiques d’équipe
Buts pour
194
2.62 GFG
Tirs pour
2697
36.45 Avg
Pourcentage en avantage numérique
20.1%
31 GF
Début de zone offensive
38.8%
Buts contre
190
2.57 GAA
Tirs contre
2948
39.84 Avg
Pourcentage en désavantage numérique
81.9%%
25 GA
Début de la zone défensive
41.3%
Informations de l'équipe

Directeur généralFrédéric Tremblay
EntraîneurLindy Ruff
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,875
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 50
Espoirs35


Historique d'équipe

Saison actuelle36-29-9 (81PTS)
Historique183-156-36 (0.488%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)7-7
Coupe Stanley0


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
1Henrik BorgstromX100.00553697688174727275727269667069765500261900,000$
2Ryan DonatoXXX100.00523696707380747356717263667675584200271975,000$
3Mikhail MaltsevXX100.006346907682767576717072657272746323002511,250,000$
4Gerald MayhewXX100.00533591656799787158717167567675391800301800,000$
5Milos Roman (R)X100.00523796647179797261727264576970595700231900,000$
6Tye Felhaber (R)X100.00706670777879757770717067676769474800252950,000$
7Valtteri PuustinenXX100.006251857874757575597474677365665333002411,000,000$
8Mitchell ChaffeeX100.008254817681877778647270687068734735002511,200,000$
9Maros Jedlicka (R)XX100.00645876787780807560696870686262697000202850,000$
10Pavel KousalXX100.00635282777780807960747371736667304500241776,000$
11Filip Hallander (R)XX100.00665084777986807771717070706466806400232900,000$
12Linus Oberg (R)X100.00654986768380807760707371736465655800232750,000$
13Andrey PedanX100.00705863649276765530585658587567604300301750,000$
14Jeremy LauzonX100.00593988647876626530646471477475613800262800,000$
15Joe HickettsX100.00543793646484706730666571467573434900272800,000$
16Tyler LewingtonX100.007766646581837072307272705878744570002821,300,000$
17Reilly Walsh (R)X100.00624987777783857830747072686566695300241850,000$
18Petter HanssonX100.00624788787785857930696676666868351800271750,000$
Rayé
1Antti SuomelaX100.005436946671856673727372635978744264002921,500,000$
2Greg CareyX100.00594086667193956866686869628981442000332800,000$
3Nicolas RoyXX100.00735480648779716668656567547170552000262750,000$
4Adam GaudetteX100.005641807071727867757668577274724619002611,000,000$
5Lawrence PilutX100.005439906768836273307971664874714559002721,500,000$
6David QuennevilleX100.00626073787780807930746875686669505100251776,000$
MOYENNE D’ÉQUIPE100.0062478471778176735471696863717053440
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
1Adin Hill100.00808179938486878686807975795778002731,350,000$
2Louis Domingue100.0079777585808283828279788589361900311750,000$
Rayé
1Jonathan BernierHO85838171798789888785849197547800351900,000$
MOYENNE D’ÉQUIPE100.008180788381858685858180848849580
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff70757771999446CAN6311,200,000$


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
1Pavel KousalBears (WSH)LW/RW702640661236101721593511261777.41%52156522.36671317980334712548.54%2394937010.8438002447
2Mitchell ChaffeeBears (WSH)RW692433572120233183252681589.52%34141320.494812181141015572250.22%8902934000.8115000525
3Filip HallanderBears (WSH)C/LW64182240-91410150193202651348.91%46119518.6827918870000524251.28%9733026110.6701101351
4Valtteri PuustinenBears (WSH)LW/RW63102333-5215135109217711254.61%25115218.2915613810000131143.69%1035425000.5727001023
5Maros JedlickaBears (WSH)LW/RW70131528-144101359516147858.07%2294913.57101260000102044.12%342713110.5901101113
6Reilly WalshBears (WSH)D6932225-1013516516913054592.31%139185726.92145221430000127010.00%03358000.2700100112
7David QuennevilleBears (WSH)D688172514832515213012043646.67%130173225.4853818118000185210.00%02548000.2900112132
8Aapeli RasanenCapitalsC48151025-2235113119125508212.00%2982117.1153822741011582157.76%5991615100.6100001401
9Linus ObergBears (WSH)RW59111324-880130113187671085.88%30110818.7912313760002381147.66%1072322000.4334000112
10Mikhail MaltsevBears (WSH)C/LW6781523-6609512915858955.06%3196514.4204412531013143049.54%5432511000.4804000012
11Lawrence PilutBears (WSH)D711192066052975924321.69%78130918.45022383000162000.00%01837100.3100000001
12Antti SuomelaBears (WSH)C5841418-50021726821265.88%114948.5301108000061051.73%37564000.7300000001
13Milos RomanBears (WSH)C6651217-120661258931675.62%2295114.42022643000023144.10%6781111000.3600000101
14Tyler LewingtonBears (WSH)D7431316375251861127321324.11%86141219.09000380000271000.00%01843000.2300212000
15Petter HanssonBears (WSH)D4921214-15261067897032272.86%69104221.291231065011168000.00%01737000.2700002000
16Tye FelhaberBears (WSH)LW605712-122101437510239654.90%1471611.95000030000110042.11%951511000.3300110012
17Anatoli GolyshevCapitalsRW17371050035417226424.17%531518.541014180001190047.17%5373000.6302000010
18Ryan DonatoBears (WSH)C/LW/RW51628-74031496121289.84%124478.771014170000292144.07%5966000.3601000012
19Henrik BorgstromBears (WSH)C74257-20030624717194.26%84966.710111380001241148.62%18157000.2812000000
20Adam GaudetteBears (WSH)C1734714029222131814.29%520512.11101311000021249.78%23128000.6801000011
21Alex KillornCapitalsLW/RW8325-10020202581012.00%514418.00000090000111139.09%11016000.6900000001
22Jeremy LauzonBears (WSH)D54044-1403261311490.00%4475914.0600004000037000.00%0524000.1100000000
23Joe HickettsBears (WSH)D63033-72040763813100.00%5696615.34000110000027000.00%0721000.0600000000
24Gerald MayhewBears (WSH)C/RW36213-4001023174711.76%11413.9300001000000060.00%4502000.4200000000
25Greg CareyBears (WSH)LW25011000631010.00%2542.1700000000013000.00%000000.3700000000
26Andrey PedanBears (WSH)D3000020321000.00%13812.810000000000000.00%001000.00%00000000
Statistiques d’équipe totales ou en moyenne1373175316491-4240711522512328267892314806.53%9572225916.21305181190125134722916282049.76%5315429510430.4410367312212437
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
1Jonathan BernierBears (WSH)67362460.9402.3340210015625921206240.8282967418116
2Adin HillBears (WSH)80530.9263.324700026352171000.4005767210
Statistiques d’équipe totales ou en moyenne75362990.9382.43449100182294413772434747120126


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 Plafond 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
Adam GaudetteBears (WSH)C261996-10-03No170 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$NoLien
Adin HillBears (WSH)G271996-05-11No205 Lbs6 ft6NoNoNo3Pro & Farm1,350,000$0$0$No1,350,000$1,350,000$Lien / Lien NHL
Andrey PedanBears (WSH)D301993-07-03No213 Lbs5 ft11NoNoYes1Pro & Farm750,000$0$0$NoLien
Antti SuomelaBears (WSH)C291994-03-17No180 Lbs6 ft0NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
David QuennevilleBears (WSH)D251998-03-13 14:25:11No190 Lbs5 ft8NoNoYes1Pro & Farm776,000$0$0$NoLien / Lien NHL
Filip HallanderBears (WSH)C/LW232000-06-29 14:45:20Yes196 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Gerald MayhewBears (WSH)C/RW301992-12-31 13:18:38No170 Lbs5 ft10NoNoYes1Pro & Farm800,000$0$0$NoLien
Greg CareyBears (WSH)LW331990-04-05No204 Lbs5 ft10NoNoYes2Pro & Farm800,000$0$0$No800,000$Lien
Henrik BorgstromBears (WSH)C261997-08-06No190 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien
Jeremy LauzonBears (WSH)D261997-04-28No204 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Joe HickettsBears (WSH)D271996-05-04No180 Lbs5 ft8NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Jonathan BernierBears (WSH)G351988-08-07No186 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Lawrence PilutBears (WSH)D271995-12-30No180 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Linus ObergBears (WSH)RW232000-07-18 13:58:00Yes205 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Louis DomingueBears (WSH)G311992-03-06No212 Lbs6 ft3NoNoYes1Pro & Farm750,000$0$0$NoLien / Lien NHL
Maros JedlickaBears (WSH)LW/RW202002-10-23 17:22:09Yes181 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$
Mikhail MaltsevBears (WSH)C/LW251998-03-12 15:30:46No198 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Milos RomanBears (WSH)C231999-11-06 14:46:35Yes192 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
Mitchell ChaffeeBears (WSH)RW251998-01-26 17:29:04No201 Lbs6 ft1NoNoYes1Pro & Farm1,200,000$0$0$NoLien / Lien NHL
Nicolas RoyBears (WSH)C/RW261997-02-05No205 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Pavel KousalBears (WSH)LW/RW241998-11-14 17:44:16No194 Lbs6 ft0NoNoYes1Pro & Farm776,000$0$0$No
Petter HanssonBears (WSH)D271996-05-16 12:21:04No196 Lbs6 ft2NoNoYes1Pro & Farm750,000$0$0$NoLien / Lien NHL
Reilly WalshBears (WSH)D241999-04-21 17:24:06Yes185 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Ryan DonatoBears (WSH)C/LW/RW271996-04-09No193 Lbs6 ft0NoNoNo1Pro & Farm975,000$0$0$NoLien
Tye FelhaberBears (WSH)LW251998-08-05 16:13:46Yes180 Lbs5 ft11NoNoNo2Pro & Farm950,000$0$0$No950,000$Lien / Lien NHL
Tyler LewingtonBears (WSH)D281994-12-05No202 Lbs6 ft2NoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$Lien
Valtteri PuustinenBears (WSH)LW/RW241999-06-04 16:24:12No183 Lbs5 ft9NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.52192 Lbs6 ft01.48956,556$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel KousalFilip HallanderMitchell Chaffee40122
2Valtteri PuustinenMikhail MaltsevLinus Oberg30122
3Maros JedlickaHenrik BorgstromRyan Donato20122
4Tye FelhaberMilos RomanGerald Mayhew10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter HanssonReilly Walsh40122
2Tyler LewingtonJoe Hicketts30122
3Jeremy LauzonAndrey Pedan20122
4Petter HanssonReilly Walsh10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel KousalFilip HallanderMitchell Chaffee60122
2Valtteri PuustinenMikhail MaltsevLinus Oberg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter HanssonReilly Walsh60122
2Tyler LewingtonJoe Hicketts40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pavel KousalMitchell Chaffee60122
2Linus ObergValtteri Puustinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter HanssonReilly Walsh60122
2Tyler LewingtonJoe Hicketts40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pavel Kousal60122Petter HanssonReilly Walsh60122
2Mitchell Chaffee40122Tyler LewingtonJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pavel KousalMitchell Chaffee60122
2Linus ObergValtteri Puustinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter HanssonReilly Walsh60122
2Tyler LewingtonJoe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel KousalFilip HallanderMitchell ChaffeePetter HanssonReilly Walsh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pavel KousalFilip HallanderMitchell ChaffeePetter HanssonReilly Walsh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maros Jedlicka, Tye Felhaber, Henrik BorgstromMaros Jedlicka, Tye FelhaberHenrik Borgstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Lauzon, Andrey Pedan, Tyler LewingtonJeremy LauzonAndrey Pedan, Tyler Lewington
Tirs de pénalité
Pavel Kousal, Mitchell Chaffee, Linus Oberg, Valtteri Puustinen, Filip Hallander
Gardien
#1 : Adin Hill, #2 : Louis Domingue
Lignes d’attaque personnalisées en prolongation
Pavel Kousal, Mitchell Chaffee, Linus Oberg, Valtteri Puustinen, Filip Hallander, Mikhail Maltsev, Mikhail Maltsev, Maros Jedlicka, Tye Felhaber, Henrik Borgstrom, Milos Roman
Lignes de défense personnalisées en prolongation
Petter Hansson, Reilly Walsh, Tyler Lewington, Joe Hicketts, Jeremy Lauzon


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
1Admirals2110000023-1000000000002110000023-120.5002461047815812679069777876056121453200.00%70100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
2Americans211000008531010000013-21100000072520.5008122000478158126790697778760972221678225.00%30100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
3Barracuda10000010211100000102110000000000021.000224004781581226906977787603112628100.00%3166.67%0955191249.95%1016203749.88%50798151.68%152183316266691349695
4Bruins5100102114113310010017612000002075290.900142034004781581220890697778760223531113910110.00%3166.67%0955191249.95%1016203749.88%50798151.68%152183316266691349695
5Canucks1010000012-1000000000001010000012-100.0001230047815812419069777876050172363133.33%10100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
6Comets33000000936220000006241100000031261.000916250047815812104906977787601123226975120.00%8275.00%1955191249.95%1016203749.88%50798151.68%152183316266691349695
7Condors4110011011110210001006512010001056-150.625111627004781581216490697778760165662313410110.00%9188.89%0955191249.95%1016203749.88%50798151.68%152183316266691349695
8Eagles3110000189-12010000158-31100000031230.500812201047815812101906977787601103529102500.00%7271.43%0955191249.95%1016203749.88%50798151.68%152183316266691349695
9Firebirds1010000012-1000000000001010000012-100.000123004781581238906977787604415030000.00%000.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
10Griffins1010000056-11010000056-10000000000000.0005611004781581245906977787606013942000.00%3166.67%1955191249.95%1016203749.88%50798151.68%152183316266691349695
11Gulls11000000312000000000001100000031221.000347004781581229906977787604081234000.00%60100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
12Icehogs11000000413000000000001100000041321.00046100047815812449069777876036156413133.33%30100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
13Islanders4020010148-42010000124-22010010024-220.250471100478158121359069777876015560141201000.00%70100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
14Lions21000001651110000004221000000123-130.7506915004781581276906977787608727461200.00%2150.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
15Marlies2020000026-41010000001-11010000025-300.0002460047815812439069777876057138564125.00%4175.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
16Monsters21000100651110000003121000010034-130.75069150047815812729069777876065354603133.33%220.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
17Moose1010000046-21010000046-20000000000000.000481200478158125490697778760462010384375.00%000.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
18Penguins53100010161243200001010732110000065180.800162541104781581218990697778760201691616711218.18%8187.50%0955191249.95%1016203749.88%50798151.68%152183316266691349695
19Phantoms614001001419-530200100710-33120000079-230.250142236004781581220890697778760273914316221733.33%14471.43%0955191249.95%1016203749.88%50798151.68%152183316266691349695
20Reign11000000321110000003210000000000021.0003580047815812399069777876045152323266.67%110.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
21Roadrunners11000000321110000003210000000000021.000369004781581225906977787604412833300.00%40100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
22Rocket3110010078-11000010023-12110000055030.5007121900478158121089069777876091271493600.00%7357.14%0955191249.95%1016203749.88%50798151.68%152183316266691349695
23SKA32100000752110000004222110000033040.66771320004781581210390697778760963519819111.11%7185.71%0955191249.95%1016203749.88%50798151.68%152183316266691349695
24Senators211000005411010000023-11100000031220.500571200478158128390697778760833010752150.00%000.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
25Silver Knights3110100010820000000000031101000108240.6671015251047815812101906977787601193110975240.00%5180.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
26Stars2110000069-32110000069-30000000000020.50068140047815812949069777876073287637114.29%10100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
27Thunderbirds522000102016431100010111012110000096360.600203454004781581219190697778760215803913815320.00%12191.67%1955191249.95%1016203749.88%50798151.68%152183316266691349695
28Wild1010000012-1000000000001010000012-100.0001230047815812289069777876044101135000.00%30100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
29Wolf Pack42200000810-22110000047-32110000043140.50081321004781581214590697778760159498123200.00%40100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
30Wolves1010000013-2000000000001010000013-200.00012300478158122990697778760267224000.00%10100.00%0955191249.95%1016203749.88%50798151.68%152183316266691349695
31Wranglers1010000035-21010000035-20000000000000.000358004781581240906977787604513633000.00%3166.67%0955191249.95%1016203749.88%50798151.68%152183316266691349695
Total74282902564194190437141301333100105-53714160123194859810.5471943085024047815812269790697778760294895239422941543120.13%1382581.88%3955191249.95%1016203749.88%50798151.68%152183316266691349695
_Since Last GM Reset74282902564194190437141301333100105-53714160123194859810.5471943085024047815812269790697778760294895239422941543120.13%1382581.88%3955191249.95%1016203749.88%50798151.68%152183316266691349695
_Vs Conference48191701443126117925108012226361223990022163567550.5731262033291047815812173290697778760191462323714391082018.52%811779.01%2955191249.95%1016203749.88%50798151.68%152183316266691349695
_Vs Division20111201242545041065011222526-110570012029245360.90054831370047815812733906977787607942209661441614.63%29872.41%1955191249.95%1016203749.88%50798151.68%152183316266691349695

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7481L119430850226972948952394229440
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7428292564194190
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3714131333100105
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37141612319485
Derniers 10 matchs
WLOTWOTL SOWSOL
440011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1543120.13%1382581.88%3
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
9069777876047815812
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
955191249.95%1016203749.88%50798151.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
152183316266691349695


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 - 2023-10-165Bears3Silver Knights2AWXSommaire du match
2 - 2023-10-1715Bears2Phantoms4ALSommaire du match
4 - 2023-10-1931Phantoms3Bears2BLSommaire du match
7 - 2023-10-2250Bruins2Bears3BWSommaire du match
9 - 2023-10-2466Bears4Bruins3AWXXSommaire du match
12 - 2023-10-2786Penguins4Bears5BWXXSommaire du match
14 - 2023-10-29102Bears1Condors3ALSommaire du match
16 - 2023-10-31114Condors4Bears3BLXSommaire du match
19 - 2023-11-03133Bears1Wolf Pack2ALSommaire du match
21 - 2023-11-05146Wolf Pack6Bears1BLSommaire du match
23 - 2023-11-07161Bears4Silver Knights1AWSommaire du match
25 - 2023-11-09177Bears3Rocket2AWSommaire du match
26 - 2023-11-10185Thunderbirds2Bears4BWSommaire du match
29 - 2023-11-13202Bears5Penguins2AWSommaire du match
31 - 2023-11-15218Islanders1Bears0BLSommaire du match
32 - 2023-11-16232Bears2Admirals1AWSommaire du match
34 - 2023-11-18246Griffins6Bears5BLSommaire du match
37 - 2023-11-21267Bears3Comets1AWSommaire du match
38 - 2023-11-22280Roadrunners2Bears3BWSommaire du match
40 - 2023-11-24296Bears0Admirals2ALSommaire du match
42 - 2023-11-26314Americans3Bears1BLSommaire du match
44 - 2023-11-28327Bears4Condors3AWXXSommaire du match
46 - 2023-11-30342Bears7Americans2AWSommaire du match
47 - 2023-12-01351Phantoms3Bears2BLSommaire du match
50 - 2023-12-04374Marlies1Bears0BLSommaire du match
52 - 2023-12-06391Bears3Wolf Pack1AWSommaire du match
54 - 2023-12-08408Monsters1Bears3BWSommaire du match
56 - 2023-12-10423Bears3Bruins2AWXXSommaire du match
58 - 2023-12-12438Bears4Icehogs1AWSommaire du match
59 - 2023-12-13445Wranglers5Bears3BLSommaire du match
62 - 2023-12-16468Bears3Phantoms1AWSommaire du match
64 - 2023-12-18474Bruins2Bears1BLXXSommaire du match
66 - 2023-12-20495Bears3Senators1AWSommaire du match
68 - 2023-12-22506Eagles3Bears1BLSommaire du match
71 - 2023-12-25527Bears2Marlies5ALSommaire du match
73 - 2023-12-27541Phantoms4Bears3BLXSommaire du match
76 - 2023-12-30562Bears3Monsters4ALXSommaire du match
78 - 2024-01-01574SKA2Bears4BWSommaire du match
81 - 2024-01-04597Rocket3Bears2BLXSommaire du match
83 - 2024-01-06612Bears3Silver Knights5ALSommaire du match
84 - 2024-01-07623Bears1Islanders2ALXSommaire du match
86 - 2024-01-09637Reign2Bears3BWSommaire du match
89 - 2024-01-12661Barracuda1Bears2BWXXSommaire du match
91 - 2024-01-14673Bears1Canucks2ALSommaire du match
93 - 2024-01-16691Bears1Islanders2ALSommaire du match
94 - 2024-01-17701Condors1Bears3BWSommaire du match
98 - 2024-01-21725Bruins2Bears3BWXSommaire du match
101 - 2024-01-24748Bears1Firebirds2ALSommaire du match
102 - 2024-01-25757Bears3Thunderbirds4ALSommaire du match
103 - 2024-01-26764Stars3Bears4BWSommaire du match
106 - 2024-01-29789Bears1Wild2ALSommaire du match
107 - 2024-01-30795Moose6Bears4BLSommaire du match
111 - 2024-02-03822Bears3Gulls1AWSommaire du match
112 - 2024-02-04828Lions2Bears4BWSommaire du match
115 - 2024-02-07845Bears6Thunderbirds2AWSommaire du match
116 - 2024-02-08859Eagles5Bears4BLXXSommaire du match
119 - 2024-02-11880Bears2Lions3ALXXSommaire du match
120 - 2024-02-12890Penguins2Bears3BWSommaire du match
123 - 2024-02-15912Bears1SKA2ALSommaire du match
125 - 2024-02-17921Wolf Pack1Bears3BWSommaire du match
128 - 2024-02-20944Bears2Rocket3ALSommaire du match
129 - 2024-02-21954Bears3Eagles1AWSommaire du match
130 - 2024-02-22960Senators3Bears2BLSommaire du match
134 - 2024-02-26985Thunderbirds3Bears1BLSommaire du match
136 - 2024-02-281006Bears2SKA1AWSommaire du match
139 - 2024-03-021021Comets1Bears2BWSommaire du match
143 - 2024-03-061047Bears2Phantoms4ALSommaire du match
144 - 2024-03-071053Thunderbirds5Bears6BWXXSommaire du match
147 - 2024-03-101078Comets1Bears4BWSommaire du match
148 - 2024-03-111088Bears1Wolves3ALSommaire du match
152 - 2024-03-151114Penguins1Bears2BWSommaire du match
155 - 2024-03-181133Bears1Penguins3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157 - 2024-03-201145Islanders3Bears2BLXXSommaire du match
164 - 2024-03-271175Stars6Bears2BLSommaire du match
166 - 2024-03-291191SKA-Bears-
171 - 2024-04-031215Bears-Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7033
Assistance45,37524,017
Assistance PCT61.32%64.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 1875 - 62.52% 134,081$4,961,014$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,432,051$ 2,492,700$ 2,492,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,492$ 2,280,890$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
134,081$ 7 21,469$ 150,283$




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
1Jakob Forsbacka Karlsson3481271702971842108749115810.97%59684119.6626608622900030191755.0320.8702
2Nicolas Roy4321101792891815954791692511.89%137764917.712633591460001618251.6240.7604
3Sam Gagner304961762721214053268010369.27%36590819.4424487222400004856.8740.9200
4Henrik Borgstrom42579187266-7142668549108.68%71696016.381562771840001713852.9200.76114
5Lawrence Pilut39461198259-18728460959210.30%533866822.003242743070009600.00%00.6000

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
1Adin Hill415198155430.9013.242308034141248126171711530.60368
2Jonathan Bernier67362460.9402.3340210015625921206240.82829
3Malcolm Subban110293360.9092.7349278022424520160.66715

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
20207634280551326524025381814023011361191738161403212129121888265483748139198708258887784483843250673562318202896121.11%2664981.58%41450279851.82%1407279950.27%612122450.00%184812731768567979492
20207634280551326524025381814023011361191738161403212129121888265483748139198708258887784483843250673562318202896121.11%2664981.58%41450279851.82%1407279950.27%612122450.00%184812731768567979492
202176283405513228248-203819110231214212616389230320186122-3676228409637218571669234877177077743242670463016752875418.82%2545080.31%11368269950.69%1390270651.37%587120148.88%184212691780564982492
202276293704402247264-1738171702101138131738122002301109133-2472247452699319277745252482783084729227668249616693036120.13%2235276.68%21429277851.44%1277264848.23%647128250.47%186313011762552965493
202374282902564194190437141301333100105-53714160123194859811943085024047815812269790697778760294895239422941543120.13%1382581.88%3955191249.95%1016203749.88%50798151.68%152183316266691349695
Total Saison régulière37815315602124915119911821718986690913486526005218967870121157547582-35405119921353334118406425338421274542584265408721812662380827669278132226820.27%114722580.38%1466521298551.23%64971298950.02%2965591250.15%892459508708292052572666
Séries éliminatoires
202014770000049436633000002117484400000282621449901391121141405771871961761843612889318561119.64%39879.49%131858953.99%25649851.41%13322658.85%36025231610618494
Total Séries éliminatoires14770000049436633000002117484400000282621449901391121141405771871961761843612889318561119.64%39879.49%131858953.99%25649851.41%13322658.85%36025231610618494

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
1Ryan Donato1368141210285510.91%527621.280331300011046.1501.0100
2Antti Suomela1495140216247412.16%331822.731121500001058.3300.8800
3Adam Gaudette1431013163430506.00%231022.172571400000052.2200.8400
4Joe Hicketts141910921913137.69%2327119.3900030001100.00%00.7400
5Jori Lehtera136394634244712.77%425719.842241410121160.6700.7000

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
1Adin Hill147610.9032.9485741424350110.00%0