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Connexion

Bears
GP: 16 | W: 14 | L: 2 | OTL: 0 | P: 28
GF: 118 | GA: 44 | PP%: 31.03% | PK%: 78.31%
DG: Josh H | Morale : 50 | Moyenne d’équipe : 58

Centre de jeu
Bears
14-2-0, 28pts
5
FINAL
2 Phantoms
13-2-1, 27pts
Team Stats
W6SéquenceW1
7-1-0Fiche domicile6-1-1
7-1-0Fiche domicile7-1-0
9-1-0Derniers 10 matchs8-2-0
7.38Buts par match 6.06
2.75Buts contre par match 2.06
31.03%Pourcentage en avantage numérique27.94%
78.31%Pourcentage en désavantage numérique91.89%
Bears
14-2-0, 28pts
8
FINAL
4 Wolf Pack
5-10-1, 11pts
Team Stats
W6SéquenceL4
7-1-0Fiche domicile2-5-1
7-1-0Fiche domicile3-5-0
9-1-0Derniers 10 matchs4-6-0
7.38Buts par match 4.88
2.75Buts contre par match 6.88
31.03%Pourcentage en avantage numérique19.23%
78.31%Pourcentage en désavantage numérique67.57%
Meneurs d'équipe
Francesco PinelliButs
Francesco Pinelli
19
Jaret Anderson-DolanPasses
Jaret Anderson-Dolan
23
Jaret Anderson-DolanPoints
Jaret Anderson-Dolan
38
Oskar OlaussonPlus/Moins
Oskar Olausson
29
Dustin TokarskiVictoires
Dustin Tokarski
14
Dustin TokarskiPourcentage d’arrêts
Dustin Tokarski
0.845

Statistiques d’équipe
Buts pour
118
7.38 GFG
Tirs pour
646
40.38 Avg
Pourcentage en avantage numérique
31.0%
18 GF
Début de zone offensive
43.2%
Buts contre
44
2.75 GAA
Tirs contre
283
17.69 Avg
Pourcentage en désavantage numérique
78.3%%
18 GA
Début de la zone défensive
29.2%
Informations de l'équipe

Directeur généralJosh H
EntraîneurDerek Plante
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1Samuel Fagemo
Assistant #2Brad Lambert


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro15
Équipe Mineure20
Limite contact 35 / 51
Espoirs17


Historique d'équipe

Saison actuelle14-2-0 (28PTS)
Historique0--0
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Jeff MalottX100.00948174838452756333605769255354655064N0302900,000$
2Brad Lambert (R) (A)XX100.007342917965577671356162652546466650630222886,667$
3Jaret Anderson-DolanX100.007270776570818760755657665459606250620271850,000$
4Samuel Fagemo (A)X100.0078739060738187595051626559454564506102611,350,000$
5Oskar OlaussonX100.007468886268747858505557635444446250590231863,333$
6Francesco PinelliX100.007270786270555460755758625544446050580232950,000$
7Julian Lutz (R)X100.007575765975505149504547614544445350530223923,333$
8Travis DermottX100.0061419675735947602539477125676956506202921,750,000$
9Helge GransX100.008077866077707648253941633944445350590242850,000$
10Kirill Kirsanov (R)X100.008581946181535546253641653944445350570243933,750$
11Jack ThompsonX100.007569905869586148254041613947475250560242900,000$
12Jesse Pulkkinen (R)X100.008583896183393845253539653744445050550213897,500$
13Carter BergerX100.007468895868373549254339603744445050520272950,000$
Rayé
1Caden Price (R)X100.007671885871586148254041613944445250560213935,556$
MOYENNE D’ÉQUIPE100.00776986647359635539474964414848575058
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
1Dustin Tokarski100.0050506372495352565454305556525055N0371850,000$
Rayé
MOYENNE D’ÉQUIPE100.0050506372495352565454305556525055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Plante70626069797470USA542600,000$


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
1Jaret Anderson-DolanBears (WSH)C1615233826100264686194717.44%333821.14481215480112432077.95%32200012.2500000322
2Oskar OlaussonBears (WSH)RW1618203829140241597256318.56%428617.93101410000023187.50%1600012.6500000231
3Francesco PinelliBears (WSH)C1619183727140202879274324.05%627617.26011030000121069.55%22000032.6800000231
4Samuel FagemoBears (WSH)RW1618183623100271798257418.37%431819.92581322471012412073.68%1900022.2600000331
5Laurent DauphinCapitalsC/LW/RW167273426115123661124911.48%634521.581348361124702074.94%41500001.9700100104
6Brad LambertBears (WSH)C/RW16131831246081665193820.00%433320.8631411371127622161.11%1800001.8600000111
7Jeff MalottBears (WSH)LW161592419160291854103727.78%022313.94000000001111080.00%1000012.1500000210
8Helge GransBears (WSH)D1642024244156692571116.00%1837323.331451043011050100%000001.2900010011
9Julian LutzBears (WSH)LW162171921601915269237.69%328017.500111310001280075.00%2800001.3600000000
10Jack ThompsonBears (WSH)D16391226215306223513.64%529518.47112232000137000%000000.8100001001
11Kirill KirsanovBears (WSH)D161101127295393108710.00%1030118.82011432011048000%000000.7300010001
12Jesse PulkkinenBears (WSH)D16011111812042612770%523414.68022211000014000%000000.9400000000
13Carter BergerBears (WSH)D1611011198021570214.29%923214.56000020000290050.00%200000.9400000000
Statistiques d’équipe totales ou en moyenne2081162103263091982036322064217140618.07%77383918.46163046793383581845214274.67%105000081.7000121141413
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
1Dustin TokarskiBears (WSH)1614200.8452.70935214227102000160000
Statistiques d’équipe totales ou en moyenne1614200.8452.7093521422710200160000


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 Salaire restantPlafond 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
Brad LambertBears (WSH)C/RW222003-12-19FINYes173 Lbs6 ft1NoNoTrade2026-06-14NoNo22025-08-03FalseFalsePro & Farm886,667$886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Caden PriceBears (WSH)D212005-08-24CANYes193 Lbs6 ft1NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm935,556$935,556$0$0$No935,556$935,556$-------935,556$935,556$-------NoNo-------Lien / Lien NHL
Carter BergerBears (WSH)D271999-03-14BCNo185 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Dustin TokarskiBears (WSH)G371989-09-16CANNo198 Lbs6 ft0YesNoFree AgentNoNo12026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Francesco PinelliBears (WSH)C232003-04-11ONTNo190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Helge GransBears (WSH)D242002-05-10SWENo201 Lbs6 ft4NoNoFree AgentNoNo22026-06-20FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Jack ThompsonBears (WSH)D242002-03-19CANNo189 Lbs6 ft1NoNoTrade2026-07-06NoNo22026-07-06FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Jaret Anderson-DolanBears (WSH)C271999-09-12CANNo194 Lbs6 ft0NoNoFree AgentNoNo12024-06-29FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Jeff MalottBears (WSH)LW301996-08-07CANNo215 Lbs6 ft5YesNoFree AgentNoNo22026-09-06FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------Yes--------Lien / Lien NHL
Jesse PulkkinenBears (WSH)D212004-12-27FINYes215 Lbs6 ft6NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm897,500$897,500$0$0$No897,500$897,500$-------897,500$897,500$-------NoNo-------Lien / Lien NHL
Julian LutzBears (WSH)LW222004-02-29GERYes201 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm923,333$923,333$0$0$No923,333$923,333$-------923,333$923,333$-------NoNo-------Lien / Lien NHL
Kirill KirsanovBears (WSH)D242002-09-19RUSYes220 Lbs6 ft2NoNoAssign ManuallyNoNo32026-06-14FalseFalsePro & Farm933,750$933,750$0$0$No933,750$933,750$-------933,750$933,750$-------NoNo-------Lien / Lien NHL
Oskar OlaussonBears (WSH)RW232002-11-10SWENo180 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm863,333$863,333$0$0$No---------------------------Lien / Lien NHL
Samuel FagemoBears (WSH)RW262000-03-14SWENo200 Lbs6 ft0NoNoFree AgentNoNo12025-08-15FalseFalsePro & Farm1,350,000$1,350,000$0$0$No---------------------------Lien / Lien NHL
Travis DermottBears (WSH)D291996-12-22CANNo200 Lbs6 ft0NoNoFree Agent2024-08-24NoNo22025-08-27FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1525.33197 Lbs6 ft22.00986,009$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff MalottBrad Lambert40122
2Julian LutzJaret Anderson-DolanSamuel Fagemo30122
3Francesco PinelliOskar Olausson20122
4Brad LambertJaret Anderson-Dolan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Helge Grans40122
2Kirill KirsanovJack Thompson30122
3Jesse PulkkinenCarter Berger20122
4Helge Grans10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Julian LutzBrad Lambert60122
2Jaret Anderson-DolanSamuel Fagemo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Helge Grans60122
2Kirill KirsanovJack Thompson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad Lambert60122
2Jaret Anderson-DolanSamuel Fagemo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Helge Grans60122
2Kirill KirsanovJack Thompson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Helge Grans60122
2Brad Lambert40122Kirill KirsanovJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad Lambert60122
2Jaret Anderson-DolanSamuel Fagemo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Helge Grans60122
2Kirill KirsanovJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Julian LutzBrad LambertHelge Grans
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Julian LutzBrad LambertHelge Grans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskar Olausson, Francesco Pinelli, Julian LutzOskar Olausson, Francesco PinelliJulian Lutz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Pulkkinen, Carter Berger, Kirill KirsanovJesse PulkkinenCarter Berger, Kirill Kirsanov
Tirs de pénalité
, Brad Lambert, Jaret Anderson-Dolan, Samuel Fagemo, Oskar Olausson
Gardien
#1 : Dustin Tokarski, #2 :
Lignes d’attaque personnalisées en prolongation
, Brad Lambert, Jaret Anderson-Dolan, Samuel Fagemo, Oskar Olausson, Francesco Pinelli, Julian Lutz, , ,
Lignes de défense personnalisées en prolongation
, Helge Grans, Kirill Kirsanov, Jack Thompson, Jesse Pulkkinen


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
1Bruins2110000010100110000005411010000056-120.500101929005631310592441892130401637555360.00%16568.75%033946473.06%22431471.34%23229678.38%52841525783174102
2Canucks1100000011290000000000011000000112921.000111829005631310412441892130541022200.00%5180.00%233946473.06%22431471.34%23229678.38%52841525783174102
3Checkers3300000015782200000012571100000032161.00015284300563131010324418921306118327515640.00%15380.00%133946473.06%22431471.34%23229678.38%52841525783174102
4Islanders2200000022319110000001028110000001211141.000224163005631310134244189213026314495240.00%70100.00%033946473.06%22431471.34%23229678.38%52841525783174102
5Penguins220000002141711000000122101100000092741.00021396000563131094244189213039624435240.00%11281.82%033946473.06%22431471.34%23229678.38%52841525783174102
6Phantoms2110000078-11010000026-41100000052320.50071219005631310362441892130481065457114.29%19384.21%033946473.06%22431471.34%23229678.38%52841525783174102
7Wolf Pack22000000188101100000010461100000084441.000183250005631310882441892130401412439222.22%6350.00%033946473.06%22431471.34%23229678.38%52841525783174102
8Wolves2200000014212110000009271100000050541.00014223601563131091244189213024883110220.00%4175.00%033946473.06%22431471.34%23229678.38%52841525783174102
Total161420000011844748710000060253587100000581939280.875118211329015631310646244189213028379202363581831.03%831878.31%333946473.06%22431471.34%23229678.38%52841525783174102
_Since Last GM Reset161420000011844748710000060253587100000581939280.875118211329015631310646244189213028379202363581831.03%831878.31%333946473.06%22431471.34%23229678.38%52841525783174102
_Vs Conference161420000011844748710000060253587100000581939280.875118211329015631310646244189213028379202363581831.03%831878.31%333946473.06%22431471.34%23229678.38%52841525783174102
_Vs Division1013200000822557571000004316275610000039930261.3008214622801563131044324418921301774112321136925.00%47980.85%033946473.06%22431471.34%23229678.38%52841525783174102

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1628W61182113296462837920236301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
16142000011844
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
87100006025
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
87100005819
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
581831.03%831878.31%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
24418921305631310
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
33946473.06%22431471.34%23229678.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
52841525783174102


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
14Checkers4Bears6WSommaire du match
230Phantoms6Bears2LSommaire du match
441Bears3Checkers2WSommaire du match
669Bruins4Bears5WSommaire du match
786Bears11Canucks2WSommaire du match
9101Wolves2Bears9WSommaire du match
10110Bears9Penguins2WSommaire du match
12136Islanders2Bears10WSommaire du match
14163Checkers1Bears6WSommaire du match
16186Bears5Bruins6LSommaire du match
17195Wolf Pack4Bears10WSommaire du match
18210Bears5Wolves0WSommaire du match
19224Penguins2Bears12WSommaire du match
20232Bears12Islanders1WSommaire du match
21234Bears5Phantoms2WSommaire du match
22239Bears8Wolf Pack4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,479,014$ 1,479,014$ 600,000$0$
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$ 0 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
Saison régulière
Total Saison régulière00000000000000%0%0%0%0%000000
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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