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Bears
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 61 | GA: 21 | PP%: 40.00% | PK%: 78.13%
DG: Christophe Lizotte | Morale : 43 | Moyenne d’équipe : 63
Prochains matchs #159 vs Abbotsford Canucks

Centre de jeu
Bears
6-2-1, 13pts
12
0 San Diego Gulls
0-9-1, 1pts
Team Stats
OTL1SéquenceOTL1
2-1-1Fiche domicile0-4-0
4-1-0Fiche domicile0-5-1
6-2-1Derniers 10 matchs0-9-1
6.78Buts par match 2.40
2.33Buts contre par match 10.10
40.00%Pourcentage en avantage numérique20.00%
78.13%Pourcentage en désavantage numérique75.00%
Tucson Roadrunners
5-4-0, 10pts
6
5 Bears
6-2-1, 13pts
Team Stats
W1SéquenceOTL1
2-2-0Fiche domicile2-1-1
3-2-0Fiche domicile4-1-0
5-4-0Derniers 10 matchs6-2-1
5.22Buts par match 6.78
4.33Buts contre par match 2.33
24.00%Pourcentage en avantage numérique40.00%
83.33%Pourcentage en désavantage numérique78.13%
Bears
6-2-1, 13pts
2026-09-27
Abbotsford Canucks
6-3-0, 12pts
Statistiques d’équipe
OTL1SéquenceL1
2-1-1Fiche domicile5-1-0
4-1-0Fiche visiteur1-2-0
6-2-110 derniers matchs6-3-0
6.78Buts par match 5.78
2.33Buts contre par match 5.78
40.00%Pourcentage en avantage numérique33.33%
78.13%Pourcentage en désavantage numérique77.14%
Meneurs d'équipe
Jani NymanButs
Jani Nyman
13
Sasha PastujovPasses
Sasha Pastujov
11
Jani NymanPoints
Jani Nyman
23
Sasha PastujovPlus/Moins
Sasha Pastujov
22
Leevi MerilainenVictoires
Leevi Merilainen
6
Leevi MerilainenPourcentage d’arrêts
Leevi Merilainen
0.918

Statistiques d’équipe
Buts pour
61
6.78 GFG
Tirs pour
496
55.11 Avg
Pourcentage en avantage numérique
40.0%
8 GF
Début de zone offensive
45.3%
Buts contre
21
2.33 GAA
Tirs contre
257
28.56 Avg
Pourcentage en désavantage numérique
78.1%%
7 GA
Début de la zone défensive
34.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 60
Espoirs21


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
1Conor Geekie0XX100.007843777089858866746564676362650456602321,626,000$
2Hendrix Lapierre0X100.006538887273808565786958626164660456502521,142,000$
3Jani Nyman0X100.007240836583858667566068636662640456502321,000,000$
4Samuel Helenius0X100.008762726497728362725660615964650456402431,224,000$
5Sasha Pastujov0X100.006338906572958166726864626764630456402431,222,000$
6Denver Barkey (R)0X100.00633883696582866762666063656261045640223925,000$
7Joakim Kemell0X100.006639776269828563576159626063640456202331,000,000$
8Henrik Rybinski0X100.006338886072738258656257596165670456102621,000,000$
9Andrei Loshko0X100.006838915877807959565462575962640456102231,499,999$
10Xavier Bourgault0X100.006536895769848556605958555764660456002431,499,999$
11Luke Tuch0X100.007643705985748157525456585764660456002521,000,000$
12Marcel Marcel0X100.008652705795686956515455605762650456002331,499,999$
13Emil Lilleberg0X100.007555666886878463307357695265670456502621,000,000$
14Ethan Del Mastro0X100.007639776588838564306355665263650456402431,272,000$
15Jayden Struble0X100.007683726776818264306755624965670426402511,412,500$
16Harrison Brunicke0X100.007142736784836365306061645360620456302131,200,000$
17Adam Ginning0X100.007141745983818258305752654666680456102721,000,000$
18Luca Marrelli (R)0X100.00653890617473715830625657486163045610213925,000$
Rayé
1Ty Mueller0X100.006337866269808558646059656163660316202431,499,999$
2Tuomas Uronen0X100.006539815774798055525458565761630315902231,499,999$
3Stian Solberg0X100.00704166597970755630575860486163031600211975,000$
4Alex Kannok-Leipert0X100.008380685672648354305553574566680315902721,000,000$
5Stanislav Svozil0X100.006239815871697956305753544663650315902431,499,999$
MOYENNE D’ÉQUIPE100.0071457962787981615061586156636504262
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 Merilainen0100.00818884818079818079818064710486902521,000,000$
2Matt D. Murray0100.0080888377797880797880796881048680292925,000$
Rayé
1Michal Postava (R)0100.0079807677787779787779786471036680251924,000$
2Brandon Halverson0100.00778883967675777675777670840366703121,000,000$
3Hunter Shepard0100.00758278777473757473757471850366603121,000,000$
MOYENNE D’ÉQUIPE100.007885818277767877767877677804168
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Daniel Alfredsson69727366797470SWE5322,500,000$


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
1Jani NymanBears (WSH)RW9131023214025863204320.63%320823.171347130001331170.97%3100022.2100000211
2Sasha PastujovBears (WSH)RW981119222062456192914.29%016818.73112812000001061.46%19200012.2500000111
3Denver BarkeyBears (WSH)C9910191820111552203617.31%116818.71202612000001066.67%2100002.2600000010
4Hendrix LapierreBears (WSH)C98715164012043192118.60%119721.961012170000180064.98%23700011.5200000110
5Conor GeekieBears (WSH)C/RW95914132082047184710.64%121223.570221171013320059.66%11900001.3200000201
6Ethan Del MastroBears (WSH)D921113206096257148.00%1121023.42022616000024100%000001.2300000100
7Emil LillebergBears (WSH)D92101221802218303126.67%1721624.07134813000129100%000001.1100000000
8Joakim KemellBears (WSH)RW9461050014114710308.51%216418.241127120001131040.00%1500001.2200000011
9Harrison BrunickeBears (WSH)D928109401281661312.50%1016117.930000000005000%000001.2400000010
10Jayden StrubleBears (WSH)D927992552213186111.11%1018620.77112516000023010%000000.9600001001
11Samuel HeleniusBears (WSH)C9178780373199315.26%017319.24011117000010069.23%2600000.9200000000
12Andrei LoshkoBears (WSH)C9246200216278147.41%112213.6600000000010053.33%15000000.9800000000
13Adam GinningBears (WSH)D90551010016613630%816017.8600012011024000%000000.6200000000
14Luke TuchBears (WSH)LW9224720288257218.00%214316.00000000000400100.00%800000.5600000001
15Luca MarrelliBears (WSH)D90339408310060%1013414.920000000001000%000000.4500000000
16Henrik RybinskiBears (WSH)RW9011100002020%050.620000000000000%000003.5800000000
17Marcel MarcelBears (WSH)LW91015000032233.33%0192.19000000000000100.00%200001.0100000000
Statistiques d’équipe totales ou en moyenne1536111117219581522117949616032512.30%77265517.36814225215411262156261.55%80100041.3000001766
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
1Leevi MerilainenBears (WSH)96210.9182.3254403212570000090000
Statistiques d’équipe totales ou en moyenne96210.9182.325440321257000090000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam GinningBears (WSH)D272000-01-13SWENo196 Lbs191 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Alex Kannok-LeipertBears (WSH)D272000-07-20CANNo190 Lbs183 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Andrei LoshkoBears (WSH)C222004-10-07BLRNo184 Lbs188 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Brandon HalversonBears (WSH)G311996-03-29USANo235 Lbs196 CMNoNoFantasy DraftYesYes22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Conor Geekie (contrat à 1 volet)Bears (WSH)C/RW232004-05-05CANNo212 Lbs193 CMNoNoTrade2025-09-23NoNo22026-04-20FalseFalsePro & Farm1,626,000$1,626,000$1,626,000$No1,626,000$--------1,626,000$--------No--------Lien / Lien NHL
Denver BarkeyBears (WSH)C222005-04-27CANYes171 Lbs178 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Emil LillebergBears (WSH)D262001-02-02NORNo215 Lbs191 CMNoNoTrade2025-08-31NoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Ethan Del MastroBears (WSH)D242003-01-15CANNo210 Lbs193 CMNoNoTrade2025-09-09NoNo32026-04-20FalseFalsePro & Farm1,272,000$0$0$No1,272,000$1,272,000$-------1,272,000$1,272,000$-------NoNo-------Lien / Lien NHL
Harrison BrunickeBears (WSH)D212006-05-08CANNo201 Lbs191 CMNoNoFree Agent2025-09-09NoNo32026-07-18FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien / Lien NHL
Hendrix LapierreBears (WSH)C252002-02-09CANNo195 Lbs183 CMNoNoTrade2025-09-09NoNo22026-03-20FalseFalsePro & Farm1,142,000$0$0$No1,142,000$--------1,142,000$--------No--------Lien / Lien NHL
Henrik RybinskiBears (WSH)RW262001-06-26CANNo172 Lbs185 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Hunter ShepardBears (WSH)G311995-11-07USANo225 Lbs180 CMNoNoFantasy DraftYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jani NymanBears (WSH)RW232004-07-30FINNo212 Lbs188 CMNoNoTrade2025-09-01NoNo22026-04-20FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Jayden StrubleBears (WSH)D252001-09-08USANo207 Lbs183 CMNoNoFantasy DraftNoNo12025-08-24FalseFalsePro & Farm1,412,500$0$0$No---------------------------Lien / Lien NHL
Joakim KemellBears (WSH)RW232004-04-27FINNo182 Lbs180 CMNoNoFantasy DraftNoNo32026-04-20FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Leevi MerilainenBears (WSH)G252002-08-13FINNo196 Lbs188 CMNoNoTrade2025-08-31NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Luca MarrelliBears (WSH)D212005-10-04CANYes181 Lbs185 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Luke TuchBears (WSH)LW252002-03-07USANo209 Lbs191 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Marcel MarcelBears (WSH)LW232003-10-31CZENo242 Lbs193 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Matt D. MurrayBears (WSH)G291998-02-02CANNo196 Lbs185 CMNoNoTrade2025-09-03NoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Michal PostavaBears (WSH)G252002-02-28CZEYes200 Lbs185 CMNoNoDraftNoNo12026-06-06FalseFalsePro & Farm924,000$0$0$No---------------------------Lien / Lien NHL
Samuel HeleniusBears (WSH)C242002-11-26FINNo225 Lbs198 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,224,000$0$0$No1,224,000$1,224,000$-------1,224,000$1,224,000$-------NoNo-------Lien / Lien NHL
Sasha PastujovBears (WSH)RW242003-07-15USANo187 Lbs183 CMNoNoFree AgentNoNo32026-07-18FalseFalsePro & Farm1,222,000$0$0$No1,222,000$1,222,000$-------1,222,000$1,222,000$-------NoNo-------Lien / Lien NHL
Stanislav SvozilBears (WSH)D242003-01-17CZENo183 Lbs183 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Stian SolbergBears (WSH)D212005-12-29NORNo194 Lbs188 CMNoNoTrade2025-09-02NoNo12025-08-17FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Tuomas UronenBears (WSH)RW222005-03-19FINNo198 Lbs183 CMNoNoFree AgentNoNo32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Ty MuellerBears (WSH)C242003-02-26CANNo185 Lbs180 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Xavier BourgaultBears (WSH)RW242002-10-22CANNo185 Lbs180 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.54200 Lbs185 CM2.361,170,446$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Conor GeekieHendrix LapierreSamuel Helenius36104
2Denver BarkeySasha PastujovJani Nyman34104
3Luke TuchAndrei LoshkoJoakim Kemell24104
4Hendrix LapierreJani NymanJoakim Kemell6104
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergEthan Del Mastro40104
2Harrison BrunickeJayden Struble35104
3Adam GinningLuca Marrelli25104
4Jayden StrubleEmil Lilleberg0104
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Conor GeekieHendrix LapierreSamuel Helenius60104
2Denver BarkeySasha PastujovJoakim Kemell40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleEthan Del Mastro60104
2Emil LillebergJani Nyman40104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Conor GeekieJani Nyman60140
2Hendrix LapierreJoakim Kemell40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergEthan Del Mastro60140
2Adam GinningJayden Struble40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hendrix Lapierre60050Emil LillebergLuca Marrelli60050
2Jani Nyman40050Harrison BrunickeJayden Struble40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hendrix LapierreJani Nyman60104
2Joakim KemellConor Geekie40104
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Emil LillebergHarrison Brunicke60104
2Ethan Del MastroJayden Struble40104
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hendrix LapierreConor GeekieJani NymanEmil LillebergEthan Del Mastro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hendrix LapierreConor GeekieJoakim KemellJayden StrubleEmil Lilleberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hendrix Lapierre, Jani Nyman, Joakim KemellHendrix Lapierre, Jani NymanHendrix Lapierre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jayden Struble, Adam Ginning, Luca MarrelliJayden StrubleJayden Struble, Emil Lilleberg
Tirs de pénalité
Joakim Kemell, Jani Nyman, Andrei Loshko, Luke Tuch, Hendrix Lapierre
Gardien
#1 : Leevi Merilainen, #2 : Matt D. Murray
Lignes d’attaque personnalisées en prolongation
Andrei Loshko, Jani Nyman, Luke Tuch, Conor Geekie, Hendrix Lapierre, Samuel Helenius, Denver Barkey, Sasha Pastujov, Henrik Rybinski, Joakim Kemell
Lignes de défense personnalisées en prolongation
Adam Ginning, Luca Marrelli, Emil Lilleberg, Jayden Struble, Ethan Del Mastro


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 Canucks1010000024-2000000000001010000024-200.00024600281914031155156179641128253133.33%4250.00%023235764.99%15227056.30%10916167.70%2682031675310860
2Henderson Silver Knights110000001001000000000000110000001001021.000101828012819140861551561796134226000%000%023235764.99%15227056.30%10916167.70%2682031675310860
3Moose11000000633000000000001100000063321.00061016002819140381551561796324122411100.00%6266.67%123235764.99%15227056.30%10916167.70%2682031675310860
4Penguins1010000034-11010000034-10000000000000.000369002819140301551561796379103511100.00%5180.00%023235764.99%15227056.30%10916167.70%2682031675310860
5Rochester Americans11000000532110000005320000000000021.0005101500281914027155156179630151419100.00%70100.00%023235764.99%15227056.30%10916167.70%2682031675310860
6San Diego Gulls110000001201200000000000110000001201221.0001221330128191409815515617962452273266.67%10100.00%023235764.99%15227056.30%10916167.70%2682031675310860
7Texas Stars110000001301311000000130130000000000021.000132336012819140981551561796193192811100.00%20100.00%023235764.99%15227056.30%10916167.70%2682031675310860
8Tucson Roadrunners1000010056-11000010056-10000000000010.50059140028191404515515617963698213133.33%4175.00%023235764.99%15227056.30%10916167.70%2682031675310860
9Wild11000000514000000000001100000051421.0005101500281914043155156179625166167114.29%3166.67%023235764.99%15227056.30%10916167.70%2682031675310860
Total96200100612140421001002613135410000035827130.722611111720328191404961551561796257778122120840.00%32778.13%123235764.99%15227056.30%10916167.70%2682031675310860
_Since Last GM Reset96200100612140421001002613135410000035827130.722611111720328191404961551561796257778122120840.00%32778.13%123235764.99%15227056.30%10916167.70%2682031675310860
_Vs Conference321000001871121100000871110000001001040.6671834520128191401431551561796802826802150.00%12191.67%023235764.99%15227056.30%10916167.70%2682031675310860
_Vs Division1000000034-11000000034-10000000000000.000369002819140301551561796379103511100.00%5180.00%023235764.99%15227056.30%10916167.70%2682031675310860

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
913OTL161111172496257778122103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
96201006121
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42101002613
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5410000358
Derniers 10 matchs
WLOTWOTL SOWSOL
620100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20840.00%32778.13%1
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
15515617962819140
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
23235764.99%15227056.30%10916167.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2682031675310860


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 - 2026-09-015Bears10Henderson Silver Knights0WSommaire du match
12 - 2026-09-1260Texas Stars0Bears13WSommaire du match
14 - 2026-09-1473Bears2Abbotsford Canucks4LSommaire du match
15 - 2026-09-1577Bears5Wild1WSommaire du match
16 - 2026-09-1680Rochester Americans3Bears5WSommaire du match
17 - 2026-09-1787Penguins4Bears3LSommaire du match
21 - 2026-09-21111Bears6Moose3WSommaire du match
23 - 2026-09-23127Bears12San Diego Gulls0WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
26 - 2026-09-26143Tucson Roadrunners6Bears5LXSommaire du match
27 - 2026-09-27159Bears-Abbotsford Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,114,650$ 3,114,650$ 2,500,000$0$
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$ 2 0$ 0$




Bears Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bears Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA