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Bears
GP: 82 | W: 42 | L: 24 | OTL: 16 | P: 100
GF: 326 | GA: 303 | PP%: 24.37% | PK%: 80.00%
DG: Christophe Lizotte | Morale : 37 | Moyenne d’équipe : 63

Centre de jeu
Penguins
39-36-7, 85pts
2
3 Bears
42-24-16, 100pts
Team Stats
W1SéquenceW3
23-16-2Fiche domicile24-11-6
16-20-5Fiche domicile18-13-10
3-6-1Derniers 10 matchs5-2-3
3.39Buts par match 3.98
3.34Buts contre par match 3.70
18.93%Pourcentage en avantage numérique24.37%
78.78%Pourcentage en désavantage numérique80.00%
Bears
42-24-16, 100pts
7
2 Monsters
20-57-5, 45pts
Team Stats
W3SéquenceL9
24-11-6Fiche domicile9-30-2
18-13-10Fiche domicile11-27-3
5-2-3Derniers 10 matchs0-9-1
3.98Buts par match 2.56
3.70Buts contre par match 4.62
24.37%Pourcentage en avantage numérique13.46%
80.00%Pourcentage en désavantage numérique70.53%
Meneurs d'équipe
Jani NymanButs
Jani Nyman
38
Hendrix LapierrePasses
Hendrix Lapierre
58
Hendrix LapierrePoints
Hendrix Lapierre
83
Jani NymanPlus/Moins
Jani Nyman
16
Matt D. MurrayVictoires
Matt D. Murray
27
Matt D. MurrayPourcentage d’arrêts
Matt D. Murray
0.9

Statistiques d’équipe
Buts pour
326
3.98 GFG
Tirs pour
3163
38.57 Avg
Pourcentage en avantage numérique
24.4%
68 GF
Début de zone offensive
42.6%
Buts contre
303
3.70 GAA
Tirs contre
2855
34.82 Avg
Pourcentage en désavantage numérique
80.0%%
59 GA
Début de la zone défensive
39.1%
Informations de l'équipe

Directeur généralChristophe Lizotte
EntraîneurDaniel Alfredsson
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,828
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 60
Espoirs10


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
1Juuso Parssinen0XX100.007740886886828467736564666964670666602521,250,000$
2Jani Nyman (R)0X100.007239846783897368666469637162660636602211,000,000$
3Maxim Tsyplakov0XX100.00724084708583746758696261636668063660273925,000$
4Hendrix Lapierre0X100.00633793727080856776716163686465058650243925,000$
5Conor Geekie (R)0XX100.00774285688882746670626763686163062650221925,000$
6Samuel Helenius0X100.008248746593738662716160645863650516402311,000,000$
7Valtteri Puustinen0X100.006235956665828667636561626866670466402731,000,000$
8James Malatesta0X100.007540686568818063586162606563640586302311,000,000$
9Sasha Pastujov0X100.006337916272907664716563616562640586302311,000,000$
10Joakim Kemell0X100.006837856469828563526063576162630586202211,000,000$
11Mike Vecchione0X100.006037896169818560635961566272740246203331,000,000$
12Luke Tuch (R)0X100.007641735885756856525558595663650256002431,000,000$
13Denton Mateychuk (R)0X100.00613689716987736830696365586165058650222925,000$
14Emil Lilleberg0X100.007755696785828862307062675064660596502531,000,000$
15Ethan Del Mastro0X100.007641796688848765306460635162660556502311,000,000$
16Jayden Struble0X100.007747696776818465307060635264660606502421,412,500$
17Santeri Hatakka0X100.006740776376807457306258654764660596202531,000,000$
18Stian Solberg (R)0X100.00703894647966606230606263496062058620202975,000$
Rayé
1William Lockwood0X100.006939876071778057555962566067690206202831,000,000$
2Henrik Rybinski0X100.006338885972718158646160575964660206102531,000,000$
3Francesco Pinelli0X100.006238845771818656625562545662640316002311,000,000$
4Adam Ginning0X100.007342696083808659306262645165670266302631,000,000$
5Charles-Alexis Legault (R)0X100.008043725789687156305557594562640206002211,000,000$
6Jack Matier0X100.008441905393647052305455594562640206002311,000,000$
7Alex Kannok-Leipert0X100.007377655572637852305457564565670205802631,000,000$
8Joni Jurmo (R)0X100.007238935381616252305154544563650205802431,000,000$
9Kyle Masters0X100.005536935670636555305456534562640265802311,000,000$
10Harrison Brunicke (R)0X100.007346585482656053305654554560610205702011,000,000$
MOYENNE D’ÉQUIPE100.0071428262787777614861616056636504362
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
1Leevi Merilainen0100.00798581817877797877797863690586802431,000,000$
2Matt D. Murray0100.0079858177787779787779786777058680283925,000$
Rayé
1Hunter Shepard0100.00778681777675777675777670840206703031,000,000$
2Brandon Halverson0100.00768277967574767574767569830206603031,000,000$
3Jeremy Brodeur0100.00717267717069717069717069830206302931,000,000$
4Keith Petruzzelli0100.00667571866564666564666566750206102731,000,000$
MOYENNE D’ÉQUIPE100.007581768174737574737574677903366
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Daniel Alfredsson69687064787272SWE5232,500,000$


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
1Hendrix LapierreBears (WSH)C822558831514068212276832129.06%20173121.1261824482440001492055.79%236600000.9625000352
2Juuso ParssinenBears (WSH)C/LW80364581-34151602083529523610.23%23156119.5251419602190004762055.11%117400001.0403100694
3Emil LillebergBears (WSH)D82195372514325288741776010210.73%124185322.601282092239011166310%000000.7800221213
4Denton MateychukBears (WSH)D82145771510042127188661337.45%111192123.4462127962460110108420%000000.7400000013
5Ethan Del MastroBears (WSH)D82125668865513670139471048.63%128178121.7261117642150004214100%000000.7600001134
6Conor GeekieBears (WSH)C/RW82363167-652102061472878821112.54%23154918.905813562170113515254.43%118500010.8604101942
7Maxim TsyplakovBears (WSH)LW/RW80234366-4420152145271812208.49%19165620.70610164721220241071144.85%13600010.8002000156
8Jani NymanBears (WSH)RW8038276516580169922647121714.39%12150418.81571241189000009357.99%16900010.8616000725
9Jayden StrubleBears (WSH)D8212455787810174115139601078.63%96180622.0381018782140001226000%000000.6300002141
10Matvei MichkovCapitalsLW/RW381834521110056102203681518.87%1784522.252111335119000174042.42%6600001.2302000342
11Joakim KemellBears (WSH)RW82312051612036851985512215.66%8128615.6946102510900061402244.64%11200000.7900000512
12Samuel HeleniusBears (WSH)C82193251-26551752191857012110.27%14126515.43246175000082223057.83%185200100.8101010202
13Santeri HatakkaBears (WSH)D82329327535176695523415.45%104126215.40000120113193000%000000.5100001003
14James MalatestaBears (WSH)LW821018283320726215540906.45%1387010.62000000001421040.38%5200000.6400000001
15Stian SolbergBears (WSH)D8242226528095697015415.71%86127415.54000060112202010%000000.4100000001
16Valtteri PuustinenBears (WSH)RW4471320-34012689134907.69%1277317.591011200021022253.19%4700000.5211000100
17Sasha PastujovBears (WSH)RW827714920213159134711.86%63774.61000221013481057.89%1900000.7400000002
18Luke TuchBears (WSH)LW3857125115421333112815.15%339210.33000000000350054.84%3100000.6100001030
19Francesco PinelliBears (WSH)C63551089518381951926.32%33585.690000001121110049.56%45400000.5600010001
20Mike VecchioneBears (WSH)RW14000000000000%000.040000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne14213246029269372975209819463161985229210.25%8222407616.94681281966632293369462007401455.06%766300130.77424447414244
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
1Matt D. MurrayBears (WSH)54271590.9003.4430564117517420110.700105032300
2Leevi MerilainenBears (WSH)3615970.8893.8519188112311120100.750123250120
Statistiques d’équipe totales ou en moyenne904224160.8963.5949751222982854021228282420


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Adam GinningBears (WSH)D262000-01-13SWENo196 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Alex Kannok-LeipertBears (WSH)D262000-07-20CANNo190 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brandon HalversonBears (WSH)G301996-03-29USANo235 Lbs196 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Charles-Alexis LegaultBears (WSH)D222003-09-05CANYes215 Lbs193 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Conor GeekieBears (WSH)C/RW222004-05-05CANYes207 Lbs193 CMNoNoTrade2025-09-23NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Denton MateychukBears (WSH)D222004-07-12CANYes185 Lbs180 CMNoNoTrade2025-09-01NoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Emil LillebergBears (WSH)D252001-02-02NORNo208 Lbs191 CMNoNoTrade2025-08-31NoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ethan Del MastroBears (WSH)D232003-01-15CANNo210 Lbs193 CMNoNoTrade2025-09-09NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Francesco PinelliBears (WSH)C232003-04-11CANNo185 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Harrison BrunickeBears (WSH)D202006-05-08CANYes195 Lbs191 CMNoNoTrade2025-09-09NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Hendrix LapierreBears (WSH)C242002-02-09CANNo180 Lbs183 CMNoNoTrade2025-09-09NoNo32026-03-20FalseFalsePro & Farm925,000$0$0$No1,142,000$1,142,000$-------1,142,000$1,142,000$-------NoNo-------Lien / Lien NHL
Henrik RybinskiBears (WSH)RW252001-06-26CANNo172 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Hunter ShepardBears (WSH)G301995-11-07USANo215 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jack MatierBears (WSH)D232003-04-08CANNo205 Lbs198 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
James MalatestaBears (WSH)LW232003-05-31CANNo193 Lbs175 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jani NymanBears (WSH)RW222004-07-30FINYes212 Lbs188 CMNoNoTrade2025-09-01NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jayden StrubleBears (WSH)D242001-09-08USANo207 Lbs183 CMNoNoFantasy DraftNoNo22025-08-24FalseFalsePro & Farm1,412,500$0$0$No1,412,500$--------1,412,500$--------No--------Lien / Lien NHL
Jeremy BrodeurBears (WSH)G291996-10-29USANo185 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Joakim KemellBears (WSH)RW222004-04-27FINNo182 Lbs180 CMNoNoFantasy DraftNoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Joni JurmoBears (WSH)D242002-04-19FINYes190 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Juuso ParssinenBears (WSH)C/LW252001-02-01FINNo212 Lbs191 CMNoNoTrade2025-08-31NoNo22025-08-17FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Keith PetruzzelliBears (WSH)G271999-02-09USANo185 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Kyle MastersBears (WSH)D232003-04-09CANNo177 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Leevi MerilainenBears (WSH)G242002-08-13FINNo186 Lbs191 CMNoNoTrade2025-08-31NoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Luke TuchBears (WSH)LW242002-03-07USAYes209 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matt D. MurrayBears (WSH)G281998-02-02CANNo196 Lbs185 CMNoNoTrade2025-09-03NoNo32025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Maxim TsyplakovBears (WSH)LW/RW271998-09-19RUSNo210 Lbs191 CMNoNoTrade2025-09-23NoNo32025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Mike VecchioneBears (WSH)RW331993-02-25USANo193 Lbs178 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Samuel HeleniusBears (WSH)C232002-11-26FINNo201 Lbs198 CMNoNoFantasy DraftNoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Santeri HatakkaBears (WSH)D252001-01-15FINNo191 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Sasha PastujovBears (WSH)RW232003-07-15USANo187 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Stian SolbergBears (WSH)D202005-12-29NORYes194 Lbs188 CMNoNoTrade2025-09-02NoNo22025-08-17FalseFalsePro & Farm975,000$0$0$No975,000$--------975,000$--------No--------Lien / Lien NHL
Valtteri PuustinenBears (WSH)RW271999-06-04FINNo182 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
William LockwoodBears (WSH)RW281998-06-20USANo178 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3424.76196 Lbs188 CM2.181,007,721$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juuso ParssinenConor GeekieJoakim Kemell36104
2Maxim TsyplakovHendrix LapierreJani Nyman34104
3Luke TuchSamuel HeleniusValtteri Puustinen24104
4James MalatestaHendrix LapierreSasha Pastujov6104
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukEmil Lilleberg40104
2Ethan Del MastroJayden Struble35104
3Santeri HatakkaStian Solberg25104
4Denton MateychukEmil Lilleberg0104
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maxim TsyplakovHendrix LapierreConor Geekie60104
2Juuso ParssinenSamuel HeleniusJoakim Kemell40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukEmil Lilleberg60104
2Ethan Del MastroJayden Struble40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenMaxim Tsyplakov60140
2Conor GeekieJames Malatesta40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukEmil Lilleberg60140
2Ethan Del MastroJayden Struble40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60050Denton MateychukEmil Lilleberg60050
2Conor Geekie40050Ethan Del MastroJayden Struble40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenMaxim Tsyplakov60104
2Conor GeekieJames Malatesta40104
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Denton MateychukEmil Lilleberg60104
2Ethan Del MastroJayden Struble40104
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim TsyplakovJuuso ParssinenJani NymanDenton MateychukEmil Lilleberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Maxim TsyplakovJuuso ParssinenJani NymanDenton MateychukEmil Lilleberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hendrix Lapierre, Valtteri Puustinen, Samuel HeleniusHendrix Lapierre, Valtteri PuustinenHendrix Lapierre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jayden Struble, Santeri Hatakka, Stian SolbergJayden StrubleJayden Struble, Santeri Hatakka
Tirs de pénalité
Maxim Tsyplakov, Jani Nyman, Juuso Parssinen, Conor Geekie, Hendrix Lapierre
Gardien
#1 : Leevi Merilainen, #2 : Matt D. Murray
Lignes d’attaque personnalisées en prolongation
Maxim Tsyplakov, Jani Nyman, Juuso Parssinen, Conor Geekie, Hendrix Lapierre, Valtteri Puustinen, Samuel Helenius, Sasha Pastujov, James Malatesta, Joakim Kemell
Lignes de défense personnalisées en prolongation
Denton Mateychuk, Emil Lilleberg, Ethan Del Mastro, Jayden Struble, Santeri Hatakka


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
1Abbotsford Canucks2110000078-11010000035-21100000043120.500713200011610696105810351035104968592420547114.29%10280.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
2Admirals21001000743110000003121000100043141.000713200011610696106210351035104968832118509111.11%80100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
3Barracuda211000009901010000045-11100000054120.500917260011610696107210351035104968831420578337.50%10280.00%11832324056.54%1638297055.15%755139254.24%2093148518465821040525
4Belleville Senators31200000912-32110000089-11010000013-220.33391726001161069610100103510351049681103124805120.00%10460.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
5Bridgeport Islanders422000001113-22110000067-12110000056-140.5001121320011610696101331035103510496814846559610220.00%18194.44%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
6Bruins32100000141402200000012841010000026-440.6671426400011610696101051035103510496810042307610110.00%14471.43%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
7Calgary Wranglers2110000089-1110000006511010000024-220.500814220011610696107210351035104968833116497457.14%7271.43%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
8Charlotte Checkers320000101174100000104312200000074361.000112031001161069610114103510351049688229225710330.00%100100.00%11832324056.54%1638297055.15%755139254.24%2093148518465821040525
9Chicago Wolves321000009902110000056-11100000043140.66791827101161069610101103510351049688432358912216.67%8187.50%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
10Coachella Valley Firebirds211000001073110000007251010000035-220.500101727001161069610831035103510496879178593133.33%30100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
11Colorado Eagles21100000990110000007161010000028-620.5009172600116106961010210351035104968751616545240.00%8187.50%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
12Condors2010010057-21000010034-11010000023-110.25059140011610696106410351035104968611714404125.00%7185.71%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
13Griffins30003000151231000100054120002000108261.000152742001161069610139103510351049689740108114321.43%40100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
14Henderson Silver Knights21100000752110000004131010000034-120.50071421001161069610671035103510496868226437228.57%30100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
15IceHogs21000001660110000002111000000145-130.75061218001161069610671035103510496890132042300.00%10190.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
16Laval Rocket3110010012102110000005142010010079-230.500122335001161069610122103510351049681003336788225.00%15473.33%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
17Monsters420011002215721001000129321000100106470.87522406200116106961019210351035104968148436511513646.15%13192.31%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
18Moose2100000110911000000167-11100000042230.750101929001161069610871035103510496863181055900.00%5260.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
19Ontario Reign210001001248110000009091000010034-130.750122234011161069610931035103510496863201058100.00%50100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
20Penguins3100011012111110000003212000011099050.8331221330011610696101031035103510496811534406912216.67%19763.16%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
21Phantoms401011011621-52010000149-5200011001212040.5001628440011610696101341035103510496814149369510110.00%12283.33%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
22Rochester Americans30100200916-71000010067-12010010039-620.3339172600116106961013510351035104968992226847228.57%6433.33%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
23San Diego Gulls20100100710-31000010056-11010000024-210.250712190011610696106810351035104968681810589222.22%5260.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
24Syracruse Crunch32100000121022110000078-11100000052340.667122335001161069610133103510351049689217168020630.00%7185.71%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
25Texas Stars2110000089-1110000006331010000026-420.500815230011610696107410351035104968761814498225.00%6266.67%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
26Thunderbirds2010010024-21010000012-11000010012-110.25024600116106961064103510351049686523215510110.00%70100.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
27Toronto Marlies32100000141132200000011741010000034-140.6671425390011610696101091035103510496812232348610330.00%16287.50%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
28Tucson Roadrunners210001007611000010034-11100000042230.7507142100116106961090103510351049686114124810330.00%6183.33%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
29Utica Comets430001002215722000000106421000100129370.87522406200116106961018810351035104968124483210013753.85%14471.43%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
30Wild2010000179-21010000034-11000000145-110.2507132000116106961089103510351049687714164610110.00%8450.00%01832324056.54%1638297055.15%755139254.24%2093148518465821040525
31Wolf Pack422000001712520200000610-422000000112940.5001731480111610696101431035103510496813924499715320.00%21480.95%11832324056.54%1638297055.15%755139254.24%2093148518465821040525
Total82342406122432630323412111024121761472941131304812150156-61000.610326602928121161069610316310351035104968285582274121002796824.37%2955980.00%31832324056.54%1638297055.15%755139254.24%2093148518465821040525
_Since Last GM Reset82342406122432630323412111024121761472941131304812150156-61000.610326602928121161069610316310351035104968285582274121002796824.37%2955980.00%31832324056.54%1638297055.15%755139254.24%2093148518465821040525
_Vs Conference50221305721205188172513702111104968259603610101929660.660205377582111161069610195110351035104968170152251012831694426.04%1873979.14%21832324056.54%1638297055.15%755139254.24%2093148518465821040525
_Vs Division261260241110996131365010014649-3136101410634716350.67310919930811116106961099410351035104968899276312661852327.06%1052080.95%11832324056.54%1638297055.15%755139254.24%2093148518465821040525

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82100W332660292831632855822741210012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82342461224326303
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121112412176147
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113134812150156
Derniers 10 matchs
WLOTWOTL SOWSOL
520201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2796824.37%2955980.00%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
103510351049681161069610
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
1832324056.54%1638297055.15%755139254.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2093148518465821040525


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
2 - 2025-09-275Bruins4Bears6WSommaire du match
5 - 2025-09-3028Bears4Bridgeport Islanders3WSommaire du match
6 - 2025-10-0138Bears3Wolf Pack0WSommaire du match
8 - 2025-10-0352Syracruse Crunch2Bears4WSommaire du match
11 - 2025-10-0673Wild4Bears3LSommaire du match
13 - 2025-10-0889Abbotsford Canucks5Bears3LSommaire du match
15 - 2025-10-10102Coachella Valley Firebirds2Bears7WSommaire du match
18 - 2025-10-13125Bears3Monsters4LXSommaire du match
19 - 2025-10-14135Belleville Senators3Bears4WSommaire du match
22 - 2025-10-17159Bears2Texas Stars6LSommaire du match
25 - 2025-10-20179Bridgeport Islanders3Bears4WSommaire du match
26 - 2025-10-21186Bears3Rochester Americans4LXSommaire du match
30 - 2025-10-25214Thunderbirds2Bears1LSommaire du match
31 - 2025-10-26221Bears3Penguins4LXSommaire du match
33 - 2025-10-28236Bears5Syracruse Crunch2WSommaire du match
36 - 2025-10-31259Bears4Chicago Wolves3WSommaire du match
38 - 2025-11-02273Bears3Charlotte Checkers1WSommaire du match
40 - 2025-11-04288Utica Comets4Bears5WSommaire du match
42 - 2025-11-06304Ontario Reign0Bears9WSommaire du match
44 - 2025-11-08315Condors4Bears3LXSommaire du match
45 - 2025-11-09320Bears4Laval Rocket5LXSommaire du match
47 - 2025-11-11341Syracruse Crunch6Bears3LSommaire du match
49 - 2025-11-13356Monsters4Bears5WXSommaire du match
51 - 2025-11-15367Moose7Bears6LXXSommaire du match
53 - 2025-11-17386Toronto Marlies5Bears6WSommaire du match
55 - 2025-11-19402Bears1Bridgeport Islanders3LSommaire du match
57 - 2025-11-21420Bears3Ontario Reign4LXSommaire du match
58 - 2025-11-22425Bears5Barracuda4WSommaire du match
60 - 2025-11-24440Bears2San Diego Gulls4LSommaire du match
62 - 2025-11-26459Monsters5Bears7WSommaire du match
66 - 2025-11-30485Chicago Wolves4Bears2LSommaire du match
68 - 2025-12-02503Bears4Moose2WSommaire du match
71 - 2025-12-05526Bears4Wild5LXXSommaire du match
73 - 2025-12-07539Toronto Marlies2Bears5WSommaire du match
75 - 2025-12-09550Griffins4Bears5WXSommaire du match
76 - 2025-12-10562Bears6Griffins5WXSommaire du match
78 - 2025-12-12576Wolf Pack3Bears2LSommaire du match
82 - 2025-12-16592Bears6Utica Comets2WSommaire du match
84 - 2025-12-18607Bears4Charlotte Checkers3WSommaire du match
86 - 2025-12-20622Wolf Pack7Bears4LSommaire du match
87 - 2025-12-21632Bears1Belleville Senators3LSommaire du match
89 - 2025-12-23652IceHogs1Bears2WSommaire du match
91 - 2025-12-25663San Diego Gulls6Bears5LXSommaire du match
93 - 2025-12-27677Texas Stars3Bears6WSommaire du match
95 - 2025-12-29694Bears4IceHogs5LXXSommaire du match
97 - 2025-12-31713Bears4Admirals3WXSommaire du match
99 - 2026-01-02727Laval Rocket1Bears5WSommaire du match
101 - 2026-01-04742Barracuda5Bears4LSommaire du match
103 - 2026-01-06761Charlotte Checkers3Bears4WXXSommaire du match
105 - 2026-01-08771Bears2Colorado Eagles8LSommaire du match
107 - 2026-01-10792Bears4Abbotsford Canucks3WSommaire du match
109 - 2026-01-12806Bears2Calgary Wranglers4LSommaire du match
110 - 2026-01-13818Bears2Condors3LSommaire du match
113 - 2026-01-16839Bears3Coachella Valley Firebirds5LSommaire du match
115 - 2026-01-18846Bears4Griffins3WXSommaire du match
117 - 2026-01-20864Chicago Wolves2Bears3WSommaire du match
119 - 2026-01-22878Bridgeport Islanders4Bears2LSommaire du match
120 - 2026-01-23889Bears6Phantoms7LXSommaire du match
122 - 2026-01-25908Admirals1Bears3WSommaire du match
142 - 2026-02-14911Phantoms5Bears1LSommaire du match
144 - 2026-02-16931Henderson Silver Knights1Bears4WSommaire du match
145 - 2026-02-17940Bears3Laval Rocket4LSommaire du match
148 - 2026-02-20962Tucson Roadrunners4Bears3LXSommaire du match
152 - 2026-02-24990Bears2Bruins6LSommaire du match
154 - 2026-02-261009Calgary Wranglers5Bears6WSommaire du match
156 - 2026-02-281026Bears6Phantoms5WXSommaire du match
157 - 2026-03-011028Bears0Rochester Americans5LSommaire du match
159 - 2026-03-031044Bruins4Bears6WSommaire du match
163 - 2026-03-071079Belleville Senators6Bears4LSommaire du match
165 - 2026-03-091095Utica Comets2Bears5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
167 - 2026-03-111111Colorado Eagles1Bears7WSommaire du match
169 - 2026-03-131128Bears1Thunderbirds2LXSommaire du match
171 - 2026-03-151146Bears4Tucson Roadrunners2WSommaire du match
173 - 2026-03-171166Bears3Henderson Silver Knights4LSommaire du match
176 - 2026-03-201184Phantoms4Bears3LXXSommaire du match
178 - 2026-03-221194Bears6Utica Comets7LXSommaire du match
180 - 2026-03-241213Rochester Americans7Bears6LXSommaire du match
181 - 2026-03-251227Bears8Wolf Pack2WSommaire du match
184 - 2026-03-281245Bears3Toronto Marlies4LSommaire du match
187 - 2026-03-311263Bears6Penguins5WXXSommaire du match
188 - 2026-04-011276Penguins2Bears3WSommaire du match
190 - 2026-04-031295Bears7Monsters2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance77,81238,152
Assistance PCT94.89%93.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2828 - 94.28% 117,359$4,811,723$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
5,274,096$ 3,426,250$ 3,426,250$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,307,925$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 30,866$ 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