Connexion

Bears
GP: 49 | W: 31 | L: 18 | OTL: 0 | P: 62
GF: 137 | GA: 133 | PP%: 15.54% | PK%: 83.01%
DG: | Morale : 69 | Moyenne d’équipe : 62
Prochains matchs #787 vs Comets
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Centre de jeu
Canucks
33-12-4, 70pts
3
FINAL
1 Bears
31-18-0, 62pts
Team Stats
W8SéquenceW1
18-5-1Fiche domicile17-7-0
15-7-3Fiche domicile14-11-0
8-2-0Derniers 10 matchs6-4-0
3.82Buts par match 2.80
3.10Buts contre par match 2.71
23.53%Pourcentage en avantage numérique15.54%
82.07%Pourcentage en désavantage numérique83.01%
Bears
31-18-0, 62pts
3
FINAL
2 Comets
20-25-3, 43pts
Team Stats
W1SéquenceL3
17-7-0Fiche domicile10-12-3
14-11-0Fiche domicile10-13-0
6-4-0Derniers 10 matchs4-5-1
2.80Buts par match 2.71
2.71Buts contre par match 3.06
15.54%Pourcentage en avantage numérique21.33%
83.01%Pourcentage en désavantage numérique79.59%
Comets
20-25-3, 43pts
2023-12-09
Bears
31-18-0, 62pts
Statistiques d’équipe
L3SéquenceW1
10-12-3Fiche domicile17-7-0
10-13-0Fiche visiteur14-11-0
4-5-110 derniers matchs6-4-0
2.71Buts par match 2.80
3.06Buts contre par match 2.80
21.33%Pourcentage en avantage numérique15.54%
79.59%Pourcentage en désavantage numérique83.01%
Bears
31-18-0, 62pts
2023-12-11
Comets
20-25-3, 43pts
Statistiques d’équipe
W1SéquenceL3
17-7-0Fiche domicile10-12-3
14-11-0Fiche visiteur10-13-0
6-4-010 derniers matchs4-5-1
2.80Buts par match 2.71
2.71Buts contre par match 2.71
15.54%Pourcentage en avantage numérique21.33%
83.01%Pourcentage en désavantage numérique79.59%
Bears
31-18-0, 62pts
2023-12-12
Marlies
28-19-2, 58pts
Statistiques d’équipe
W1SéquenceL1
17-7-0Fiche domicile14-9-2
14-11-0Fiche visiteur14-10-0
6-4-010 derniers matchs5-4-1
2.80Buts par match 3.59
2.71Buts contre par match 3.59
15.54%Pourcentage en avantage numérique29.66%
83.01%Pourcentage en désavantage numérique78.95%
Meneurs d'équipe
Buts
Hunter Shinkaruk
17
Passes
Alex Grant
23
Points
Hunter Shinkaruk
36
Plus/Moins
Gaetan Haas
20
Victoires
Timo Pielmeier
17
Pourcentage d’arrêts
Timo Pielmeier
0.906

Statistiques d’équipe
Buts pour
137
2.80 GFG
Tirs pour
1465
29.90 Avg
Pourcentage en avantage numérique
15.5%
23 GF
Début de zone offensive
41.6%
Buts contre
133
2.71 GAA
Tirs contre
1324
27.02 Avg
Pourcentage en désavantage numérique
83.0%%
26 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur général
EntraîneurKevin Constantine
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineCharles Hudon
Assistant #1Alex Grant
Assistant #2Daniel Sprong


Informations de l’aréna

Capacité3,000
Assistance1,866
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 55
Espoirs24


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
1Daniel Sprong (A)X100.006446927870698372667173656866456680660261900,000$
2Hunter ShinkarukX100.0068478072707276727171697164605558716502911,500,000$
3Charles Hudon (C)X100.0074458270697288676773727672655155806502931,500,000$
4Zack KassianX100.0064557673747278706068666964787346616503211,200,000$
5Gaetan HaasX100.006546947170738570696769726755465080640311900,000$
6Lauri KorpikoskiX100.005941946871687468646464706276732971640371900,000$
7Vladislav KamenevX100.006545797269727071717169696248476019640272750,000$
8Kirill KabanovX100.0066478169687176716366656964615554816303121,000,000$
9Joni Ikonen (R)X100.006645857267707070707170666045456080630243750,000$
10Chris BourqueX100.0059469470666971686468686867575025786303721,000,000$
11Corban KnightX100.006344916970707668686665696351464650620333900,000$
12Robin FigrenX100.006045907169687167626264666048463481600352900,000$
13Andrey PedanX100.0084756168767376754571707360595552786603011,300,000$
14Chris WidemanX100.00634570736976777145716573636357426865N0332900,000$
15Michael DowningX100.006247826973706270456662685464585967630281900,000$
16Alex Grant (A)X100.0054419071727274664564626960646740666303411,000,000$
17Albert YarullinX100.006643816866717563456661666073525079620302900,000$
18Juraj MikusX100.0067528072726471664565596759635538456203511,000,000$
Rayé
1Greg Meireles (R)X100.006445907267707071706868696345457064620243750,000$
2Mark ArcobelloX100.0059439771676864676965636661575238496103531,000,000$
3Simon HjalmarssonX100.005438947568656666595961635945454220590342900,000$
4Ty LewisX100.005745575555535453545454535546455520500252750,000$
5Artyom Minulin (R)X100.006544857271707064456664725645456053620253750,000$
6Linus ArnessonX100.006245837172696568455848735551505719610291800,000$
7Ronald Brickey (R)X100.007250807272707060456262675745456019610243750,000$
8Richard NedomlelX100.0062497965776766585358576860585655206003211,000,000$
MOYENNE D’ÉQUIPE100.00644783707069726758666468615752505862
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
1Timo Pielmeier100.00777574747774797678787745504281610343900,000$
2Jonas Gustavsson100.00727575787570757374747446512073590392700,000$
Rayé
1Ian Scott (R)100.00757070807570707070707545456026580243750,000$
MOYENNE D’ÉQUIPE100.0075737377767175737474754549416059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Constantine63766863999933USA645100,000$


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
1Hunter ShinkarukBears (Was)LW49171936024073531444110611.81%1293219.04268241170000956145.21%7300010.7724000323
2Daniel SprongBears (Was)RW4917153219603747148469411.49%692018.78224271160001450044.27%13100000.7004000323
3Gaetan HaasBears (Was)C49151732201003086114368513.16%1498520.112571512200031053150.36%125300110.6522000522
4Charles HudonBears (Was)LW49122032926011045143431058.39%1396219.63257271220002903144.57%9200000.6722000341
5Andrey PedanBears (Was)D49223254735118428732482.30%67107822.00145471260000100110%000000.4600010021
6Alex GrantBears (Was)D4322325114027203417335.88%5191221.212461490000184000%000000.5500000110
7Chris WidemanBears (Was)D4291625340173359183415.25%4093822.34437241020000112320%000000.5300000013
8Joni IkonenBears (Was)C4910919-4160516310527699.52%765413.36000216000163149.78%66700000.5800000211
9Chris BourqueBears (Was)LW4981018-423521338827649.09%666013.491126170003321144.44%7200000.5412001321
10Zack KassianBears (Was)RW4651217-10155523810230684.90%875216.3603315114000080053.33%6000000.4501100110
11Michael DowningBears (Was)D4331215145564364312336.98%4989820.892131891000190000%000000.3300001002
12Artyom MinulinBears (Was)D3621315-720029282913236.90%4764717.99000320000052000%000000.4600000020
13Corban KnightBears (Was)C337613-500133844164415.91%852615.964261180000082043.87%66100000.4900000013
14Lauri KorpikoskiBears (Was)RW497613-54025298323688.43%1170614.410006380000223052.86%7000000.3700000020
15Albert YarullinBears (Was)D4801111026060252810260%3983717.45022643000045000%000000.2600000101
16Kirill KabanovBears (Was)RW495510-3115392950174710.00%54178.5300019000041052.00%5000000.4811001200
17Vladislav KamenevBears (Was)C19448-48018234414219.09%230816.25112737000001047.09%37800000.5200000001
18Robin FigrenBears (Was)LW49257-495784916334.08%13727.60000020000110035.29%1700000.3800001000
19Greg MeirelesBears (Was)C39527-240213947152510.64%113699.47000000002830047.98%44600000.3800000001
20Juraj MikusBears (Was)D271677275249205185.00%2348618.00000350000013000%000000.2900100000
21Linus ArnessonBears (Was)D3011060532030%76321.2700015000011000%000000.3100000000
22Ronald BrickeyBears (Was)D3000-375611100%45618.940000000003000%00000000001000
23Simon HjalmarssonBears (Was)RW3000-100011020%0124.300000000000000%00000000000000
24Mark ArcobelloBears (Was)C7000000000000%010.170000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne8821332353681237840847729146545910499.08%4311450216.44233962257132700014102927848.11%397000120.51816215242323
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
1Timo PielmeierBears (Was)2917900.9062.59162202707430000.75082524301
2Jonas GustavssonBears (Was)2514900.8922.82133900635810000.77892425201
Statistiques d’équipe totales ou en moyenne54311800.9002.702961021331324000174949502


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Albert YarullinBears (Was)D301993-05-03No203 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Alex GrantBears (Was)D341989-01-20No209 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Andrey PedanBears (Was)D301993-07-03No213 Lbs6 ft5NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Artyom MinulinBears (Was)D251998-01-10Yes196 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Charles HudonBears (Was)LW291994-06-23No196 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Chris BourqueBears (Was)LW371986-01-29No182 Lbs5 ft7NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Chris WidemanBears (Was)D331990-01-07No181 Lbs5 ft10YesNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------Yes--------Lien
Corban KnightBears (Was)C331990-09-10No187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Daniel SprongBears (Was)RW261997-03-17No180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Gaetan HaasBears (Was)C311992-01-31No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Greg MeirelesBears (Was)C241999-01-01Yes180 Lbs5 ft10NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Hunter ShinkarukBears (Was)LW291994-10-13No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Ian ScottBears (Was)G241999-01-11Yes178 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Jonas GustavssonBears (Was)G391984-10-24No181 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Joni IkonenBears (Was)C241999-04-14Yes172 Lbs5 ft11NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Juraj MikusBears (Was)D351988-11-30 12:01:24No209 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Kirill KabanovBears (Was)RW311992-07-16No192 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Lauri KorpikoskiBears (Was)RW371986-07-28No191 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Linus ArnessonBears (Was)D291994-09-21No188 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Mark ArcobelloBears (Was)C351988-08-12No172 Lbs5 ft8NoNoN/ANoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Michael DowningBears (Was)D281995-05-19No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Richard NedomlelBears (Was)D321991-07-01No233 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Robin FigrenBears (Was)LW351988-03-07No190 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Ronald BrickeyBears (Was)D241999-05-27Yes207 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Simon HjalmarssonBears (Was)RW341989-02-01No179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Timo PielmeierBears (Was)G341989-07-07No176 Lbs6 ft0NoNoN/ANoNo3Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ty LewisBears (Was)LW251998-03-05No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Vladislav KamenevBears (Was)C271996-08-12No185 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Zack KassianBears (Was)RW321991-01-24No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2930.55191 Lbs6 ft11.93939,655$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hunter ShinkarukGaetan HaasDaniel Sprong30014
2Charles HudonVladislav KamenevZack Kassian30023
3Chris BourqueCorban KnightLauri Korpikoski25122
4Robin FigrenJoni IkonenKirill Kabanov15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanChris Wideman35050
2Alex GrantMichael Downing35050
3Albert YarullinJuraj Mikus30050
4Andrey PedanChris Wideman0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hunter ShinkarukVladislav KamenevDaniel Sprong50122
2Charles HudonGaetan HaasLauri Korpikoski50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanChris Wideman50122
2Albert YarullinJuraj Mikus50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lauri KorpikoskiHunter Shinkaruk50014
2Corban KnightCharles Hudon50014
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanChris Wideman50050
2Albert YarullinMichael Downing50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charles Hudon50014Andrey PedanChris Wideman50050
2Gaetan Haas50014Michael DowningAlbert Yarullin50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vladislav KamenevDaniel Sprong50023
2Joni IkonenLauri Korpikoski50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanChris Wideman50122
2Alex GrantAlbert Yarullin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonGaetan HaasDaniel SprongAndrey PedanChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hunter ShinkarukGaetan HaasDaniel SprongAndrey PedanChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles Hudon, Joni Ikonen, Chris BourqueHunter Shinkaruk, Joni IkonenChris Bourque
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Wideman, Andrey Pedan, Alex GrantAlbert YarullinAndrey Pedan, Chris Wideman
Tirs de pénalité
Hunter Shinkaruk, Charles Hudon, Chris Bourque, Vladislav Kamenev, Daniel Sprong
Gardien
#1 : Jonas Gustavsson, #2 : Timo Pielmeier


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
1Americans32100000761110000003212110000044040.667711180042474210684874914733010232204614428.57%9277.78%0816165249.39%750156248.02%34475645.50%11487811164372650320
2Barracuda2110000056-1110000005321010000003-320.5005101500424742105248749147330581412385120.00%6183.33%0816165249.39%750156248.02%34475645.50%11487811164372650320
3BruinsF3110001010100210000108621010000024-240.667101525004247421010648749147330953214466116.67%7271.43%0816165249.39%750156248.02%34475645.50%11487811164372650320
4Canucks1010000013-21010000013-20000000000000.000123004247421027487491473303511627500.00%3166.67%0816165249.39%750156248.02%34475645.50%11487811164372650320
5Checkers41200010131302100001063320200000710-340.5001321340042474210127487491473301203955787114.29%18572.22%0816165249.39%750156248.02%34475645.50%11487811164372650320
6Comets22000000725110000004041100000032141.000712190142474210654874914733034126317114.29%20100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
7Condors11000000532000000000001100000053221.0005712004247421041487491473301544224250.00%20100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
8Crunch1010000003-3000000000001010000003-300.00000000424742102248749147330248221000%110.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
9Firebirds21100000550000000000002110000055020.50059140042474210684874914733050141038700.00%5180.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
10Icehogs11000000321000000000001100000032121.000369004247421042487491473301911012400.00%000%0816165249.39%750156248.02%34475645.50%11487811164372650320
11Iowa Wild11000000431110000004310000000000021.00048120042474210194874914733029131222200.00%5260.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
12Islanders521000202017331100010111012100001097280.80020315100424742101744874914733014445568820315.00%23386.96%0816165249.39%750156248.02%34475645.50%11487811164372650320
13Moose2200000010550000000000022000000105541.00010192900424742105548749147330531912354125.00%6183.33%0816165249.39%750156248.02%34475645.50%11487811164372650320
14PenguinsF10001000431000000000001000100043121.0004812004247421027487491473303246152150.00%20100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
15Phantoms4220000013103220000008352020000057-240.5001324370042474210109487491473309333286710330.00%13192.31%0816165249.39%750156248.02%34475645.50%11487811164372650320
16Reign11000000211110000002110000000000021.0002460042474210294874914733035101424200.00%60100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
17Roadrunners10001000321100010003210000000000021.00034700424742103448749147330406822300.00%3166.67%0816165249.39%750156248.02%34475645.50%11487811164372650320
18Rocket2110000035-22110000035-20000000000020.5003690042474210484874914733054222530400.00%5340.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
19SenatorsF52300000812-42020000016-53210000076140.4008152300424742101344874914733011840328016318.75%140100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
20StarsF1010000013-2000000000001010000013-200.000123004247421027487491473303112820200.00%4175.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
21Wolf Pack440000001275220000004222200000085381.000121931014247421013148749147330852724541417.14%120100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
22Wolves1010000005-51010000005-50000000000000.000000004247421024487491473302241513500.00%5180.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
23Wranglers1010000017-61010000017-60000000000000.0001230042474210364874914733036199185120.00%20100.00%0816165249.39%750156248.02%34475645.50%11487811164372650320
Total4925180204013713342413701030646132512110101073721620.633137235372024247421014654874914733013244313788471482315.54%1532683.01%0816165249.39%750156248.02%34475645.50%11487811164372650320
_Since Last GM Reset4925180204013713342413701030646132512110101073721620.633137235372024247421014654874914733013244313788471482315.54%1532683.01%0816165249.39%750156248.02%34475645.50%11487811164372650320
_Vs Conference392014010401121039181050003048426211090101064613500.641112190302024247421011584874914733010263313056421161916.38%1222083.61%0816165249.39%750156248.02%34475645.50%11487811164372650320

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4962W11372353721465132443137884702
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4925182040137133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2413710306461
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
25121110107372
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1482315.54%1532683.01%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
4874914733042474210
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
816165249.39%750156248.02%34475645.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11487811164372650320


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
3 - 2023-08-2719Wolves5Bears0BLSommaire du match
5 - 2023-08-2937Comets0Bears4BWSommaire du match
6 - 2023-08-3042Bears2SenatorsF1AWSommaire du match
9 - 2023-09-0264Bears3Phantoms4ALSommaire du match
10 - 2023-09-0377Islanders5Bears6BWXXSommaire du match
13 - 2023-09-0699Bears4Checkers6ALSommaire du match
15 - 2023-09-08113Rocket1Bears2BWSommaire du match
18 - 2023-09-11133Phantoms1Bears4BWSommaire du match
20 - 2023-09-13149Bears1SenatorsF4ALSommaire du match
22 - 2023-09-15164SenatorsF4Bears1BLSommaire du match
24 - 2023-09-17183Bears0Crunch3ALSommaire du match
26 - 2023-09-19197BruinsF3Bears4BWSommaire du match
28 - 2023-09-21212Bears2BruinsF4ALSommaire du match
31 - 2023-09-24229Wolf Pack0Bears1BWSommaire du match
33 - 2023-09-26248Bears5Wolf Pack3AWSommaire du match
35 - 2023-09-28258Bears4Moose2AWSommaire du match
37 - 2023-09-30272Rocket4Bears1BLSommaire du match
39 - 2023-10-02291Roadrunners2Bears3BWXSommaire du match
41 - 2023-10-04304Bears3Icehogs2AWSommaire du match
44 - 2023-10-07325Bears4SenatorsF1AWSommaire du match
45 - 2023-10-08336Wolf Pack2Bears3BWSommaire du match
48 - 2023-10-11356Wranglers7Bears1BLSommaire du match
50 - 2023-10-13373Bears6Moose3AWSommaire du match
52 - 2023-10-15384Bears3Wolf Pack2AWSommaire du match
54 - 2023-10-17397Phantoms2Bears4BWSommaire du match
57 - 2023-10-20423Islanders2Bears1BLSommaire du match
58 - 2023-10-21434Bears6Islanders5AWXXSommaire du match
60 - 2023-10-23449Bears2Phantoms3ALSommaire du match
62 - 2023-10-25464Barracuda3Bears5BWSommaire du match
66 - 2023-10-29487Americans2Bears3BWSommaire du match
68 - 2023-10-31494Bears4Americans3AWSommaire du match
70 - 2023-11-02511Bears0Barracuda3ALSommaire du match
72 - 2023-11-04526Bears0Americans1ALSommaire du match
73 - 2023-11-05532BruinsF3Bears4BWXXSommaire du match
76 - 2023-11-08551Bears3Checkers4ALSommaire du match
78 - 2023-11-10565Checkers2Bears3BWXXSommaire du match
81 - 2023-11-13585Bears5Condors3AWSommaire du match
82 - 2023-11-14597Reign1Bears2BWSommaire du match
85 - 2023-11-17620Iowa Wild3Bears4BWSommaire du match
86 - 2023-11-18632Bears3Islanders2AWSommaire du match
89 - 2023-11-21651Islanders3Bears4BWSommaire du match
91 - 2023-11-23668Bears4Firebirds2AWSommaire du match
93 - 2023-11-25677Bears1StarsF3ALSommaire du match
94 - 2023-11-26691Bears4PenguinsF3AWXSommaire du match
96 - 2023-11-28703SenatorsF2Bears0BLSommaire du match
98 - 2023-11-30723Bears1Firebirds3ALSommaire du match
100 - 2023-12-02732Checkers1Bears3BWSommaire du match
103 - 2023-12-05754Canucks3Bears1BLSommaire du match
105 - 2023-12-07774Bears3Comets2AWSommaire du match
107 - 2023-12-09787Comets-Bears-
109 - 2023-12-11804Bears-Comets-
110 - 2023-12-12813Bears-Marlies-
112 - 2023-12-14826Americans-Bears-
115 - 2023-12-17848Bears-PenguinsF-
116 - 2023-12-18858Thunderbirds-Bears-
119 - 2023-12-21878Bears-Gulls-
121 - 2023-12-23886Crunch-Bears-
122 - 2023-12-24902Bears-Marlies-
125 - 2023-12-27920Monsters-Bears-
128 - 2023-12-30943PenguinsF-Bears-
131 - 2024-01-02964Bears-Silver Knights-
133 - 2024-01-04977Wolves-Bears-
136 - 2024-01-07998Bears-Gulls-
137 - 2024-01-081009Bears-BruinsF-
139 - 2024-01-101020Wolves-Bears-
142 - 2024-01-131041PenguinsF-Bears-
144 - 2024-01-151063Crunch-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2024-01-171076Bears-Monsters-
148 - 2024-01-191086Bears-Griffins-
151 - 2024-01-221105Eagles-Bears-
155 - 2024-01-261131Marlies-Bears-
156 - 2024-01-271145Bears-Rocket-
159 - 2024-01-301161Marlies-Bears-
161 - 2024-02-011179Bears-Crunch-
162 - 2024-02-021181Bears-Wolves-
164 - 2024-02-041200Moose-Bears-
165 - 2024-02-051207Bears-Wolves-
169 - 2024-02-091234Moose-Bears-
171 - 2024-02-111246Bears-Admirals-
175 - 2024-02-151270Bears-Rocket-
177 - 2024-02-171278Firebirds-Bears-
180 - 2024-02-201301Firebirds-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4520
Assistance29,19415,601
Assistance PCT60.82%65.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 1866 - 62.22% 98,222$2,357,337$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,556,202$ 2,725,000$ 2,725,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,497,942$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,669,780$ 76 15,522$ 1,179,672$




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