Connexion

Bears
GP: 80 | W: 38 | L: 35 | OTL: 7 | P: 83
GF: 345 | GA: 339 | PP%: 20.06% | PK%: 75.69%
DG: Jean-Manuel Estrada | Morale : 36 | Moyenne d’équipe : 62
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Centre de jeu
Punishers
40-34-6, 86pts
5
FINAL
4 Bears
38-35-7, 83pts
Team Stats
OTW1StreakL1
25-14-1Home Record21-16-3
15-20-5Away Record17-19-4
7-2-1Last 10 Games4-4-2
4.15Buts par match 4.31
4.14Buts contre par match 4.24
18.88%Pourcentage en avantage numérique20.06%
81.99%Pourcentage en désavantage numérique75.69%
Bears
38-35-7, 83pts
2
FINAL
3 Wolves
49-21-10, 108pts
Team Stats
L1StreakL1
21-16-3Home Record27-9-4
17-19-4Away Record22-12-6
4-4-2Last 10 Games6-2-2
4.31Buts par match 4.45
4.24Buts contre par match 3.66
20.06%Pourcentage en avantage numérique22.05%
75.69%Pourcentage en désavantage numérique79.93%
Meneurs d'équipe
Buts
Mike Hoffman
51
Passes
Mike Hoffman
59
Points
Mike Hoffman
110
Plus/Moins
Gianluca Curcuruto
20
Victoires
Jake Allen
27
Pourcentage d’arrêts
Jake Allen
0.872

Statistiques d’équipe
Buts pour
345
4.31 GFG
Tirs pour
2846
35.58 Avg
Pourcentage en avantage numérique
20.1%
66 GF
Début de zone offensive
37.7%
Buts contre
339
4.24 GAA
Tirs contre
2659
33.24 Avg
Pourcentage en désavantage numérique
75.7%
62 GA
Début de la zone défensive
35.4%
Informations de l'équipe

Directeur généralJean-Manuel Estrada
EntraîneurGerard Gallant
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,818
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 250
Espoirs0


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
1Kerby Rychel (R)X100.008249707574587975666871636951475222690222800,000$
2Jake Virtanen (R)X100.007439716981607973667175555646436036670202700,000$
3Mike HoffmanX100.007226727473696870736568627161582746670272650,000$
4Nicolas Aube-Kubel (R)X100.007537696870637473646975645743435215670202750,000$
5Brendan Perlini (R)X100.006522817476687166636382537144436033660202700,000$
6Jamie McGinnX100.007832686570656967696769677353522444660281425,000$
7Angelo EspositoX100.006239726362657066787065536950512245640272550,000$
8Zach Stepan (R)X100.006317816966777265646661656945463956640223500,000$
9Austin Wuthrich (R)X100.007625656471587073656163585947463356630233500,000$
10Brett Bulmer (R)X100.006336636668596462626566555648483327610241500,000$
11Dylan Gambrell (R)X100.005633726061635960718066465744426837610202500,000$
12Vincent Dunn (R)X100.006238725867527063646353565443434925580211360,000$
13Taylor Aronson (R)X100.006621767059717070566665685959543456660251250,000$
14Derek Forbort (R)X100.006537677066736863556955726051483447650241500,000$
15Gianluca Curcuruto (R)X100.007034726961666665526556655752463956640223450,000$
16Tommy Vannelli (R)X100.006031857061646265457350694947445256640213400,000$
17Michael Prapavessis (R)X100.006033826660606560407045694945435437630202500,000$
Rayé
1Logan O'Connor (R)X100.006535746465605970636066506646446319610202500,000$
2Jakob Lilja (R)X100.005835726668625568655955576352512919600231500,000$
3Nikolay Prokhorkin (R)X100.005334745853616260747662505748473619600231450,000$
4Warren Foegele (R)X100.004733916470766958596449605742426220600202500,000$
5Nicholas Caamano (R)X100.005538665954566060606354566340407919570182500,000$
6Colby Cave (R)X100.004925695966525656485571445844443519560221360,000$
7Joey Laleggia (R)X88.496641897260596668417158786156493447680242900,000$
8Mikko Vainonen (R)X93.206329796768666570536461725254443538660221300,000$
9Emil Johansson (R)X100.005644736462666359506258634748435020610203500,000$
10Ryan Graves (R)X100.005529746461616561406344654445444320600211450,000$
11Caleb Jones (R)X100.006939555771664156295246653741417119590191500,000$
12Jesper Pettersson (R)X100.005540676162636157626363475551454019580213450,000$
13Mackenze Stewart (R)X100.005038655856595855605964445144434920560203450,000$
14Jakob Stenqvist (R)X100.005123685938405855326335463140406420500182500,000$
15Arvid Henrikson (R)X100.004822575656524243245047492640406720490182500,000$
MOYENNE D’ÉQUIPE99.43623372656462646457656059564845473262
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
1Magnus Hellberg100.00776469797669707575727864583441720251950,000$
2Jake Allen100.00707574636779756770816957553356710261950,000$
Rayé
MOYENNE D’ÉQUIPE100.0074707271727473717377746157344972
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant65666472386557CAN13550,000$


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
1Mike HoffmanBears (Was)LW805159110-1600137823417419114.96%46156619.58161834542870005616552.80%1257934031.4017000694
2Jake VirtanenBears (Was)RW794749962580146782928417916.10%37142718.0781321412540002263149.65%1435424021.3437000698
3Angelo EspositoBears (Was)C70215374-2571594123122407417.21%29128718.4052126212150002741252.88%16002014001.1501012232
4Nicolas Aube-KubelBears (Was)RW772538631440152932187411111.47%25120315.641892014801141022046.30%544220001.0517000431
5Zach StepanBears (Was)C802537629100861221644510315.24%41131916.5067132116711251524049.77%11072230000.9401000321
6Jamie McGinnBears (Was)LW7429295813360127831845210515.76%36126417.0876132516610171433052.38%633425030.9235000532
7Joey LaleggiaBears (Was)D8084452-6957418415565625.16%147220127.5241115233100111223000.00%04283000.4700001021
8Brendan PerliniBears (Was)LW793020507608161184559916.30%1593211.800110180003651346.67%304310001.0724000121
9Austin WuthrichBears (Was)RW80172845-54201304717169939.94%1897112.14112960000020145.71%353016200.9311000014
10Taylor AronsonBears (Was)D8063743-1730010013815368693.92%95206625.83279252940002167100.00%04265000.4200000104
11Sergey KalininCapitalsC42122537-7140697213144819.16%1572017.161239870113641152.85%7363121011.0301000320
12Kerby RychelBears (Was)LW53141933-18200984614543809.66%1570513.3136912840112312044.19%432417000.9401000101
13Dylan GambrellBears (Was)C609233211220384536143925.00%763810.64145354000040150.79%50891001.0002000020
14Derek ForbortBears (Was)D7622729-4320731168833352.27%76148519.5512391690001120100.00%02352000.3900000011
15Mikko VainonenBears (Was)D64616225140611069035286.67%76132920.7714541430002139110.00%02238000.3300000001
16Tommy VannelliBears (Was)D8051419580156442211811.90%5998012.261342105000054110.00%01433000.3900000001
17Vincent DunnBears (Was)C37961534033353162229.03%439510.69000020000461142.70%178410000.7600000110
18Nikolay ProkhorkinBears (Was)LW416814-6100161954114111.11%83458.4300000000011018.18%1166000.8100000000
19Brett BulmerBears (Was)RW566612514025175052912.00%62704.8400001000000033.33%982000.8900000001
20Gianluca CurcurutoBears (Was)D80011112026069694923220.00%59103012.88000031000142000.00%01638000.2100000000
21Jakob LiljaBears (Was)LW1736951201713418227.32%520512.07000020003260150.00%441000.8800000001
22Michael PrapavessisBears (Was)D6805520011311913100.00%234206.180000100006000.00%0115000.2400000000
23Colby CaveBears (Was)C44224-91001818951522.22%43197.27000070000210043.15%14623000.2500000000
24Emil JohanssonBears (Was)D46011200723420.00%101653.590000000004000.00%000000.1200000000
25Brian FerlinCapitalsRW1000-300232010.00%02323.9000003000040027.27%1100000.0001000000
26Caleb JonesBears (Was)D23000000110000.00%0130.570000000008000.00%000000.0000000000
27Jesper PetterssonBears (Was)D11000000000000.00%000.030000000000000.00%000000.0000000000
28Mackenze StewartBears (Was)D10000000000000.00%000.050000000000000.00%000000.0000000000
29Ryan GravesBears (Was)D34000000020000.00%0120.370000000000000.00%001000.0000000000
30Logan O'ConnorBears (Was)RW41000000002020.00%0210.5200000000000050.00%600000.0000000000
Statistiques d’équipe totales ou en moyenne16633335638961253820168016702776891153312.00%8562332514.03581141722782621257431599291850.74%4809572559290.771138013334034
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
1Jake AllenBears (Was)60272740.8724.253346602371845875670.692265822201
2Magnus HellbergBears (Was)184850.8694.4410010074564278000.50061725001
Statistiques d’équipe totales ou en moyenne78313590.8714.2943486031124091153670.656327547202


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Angelo EspositoBears (Was)C271989-01-01No190 Lbs6 ft0NoNoNo2Pro & Farm550,000$0$0$No550,000$
Arvid HenriksonBears (Was)D181998-01-01Yes212 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Austin WuthrichBears (Was)RW231993-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Brendan PerliniBears (Was)LW201996-01-01Yes211 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No800,000$
Brett BulmerBears (Was)RW241992-01-01Yes212 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Caleb JonesBears (Was)D191997-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Colby CaveBears (Was)C221994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm360,000$0$0$No
Derek ForbortBears (Was)D241992-01-01Yes212 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Dylan GambrellBears (Was)C201996-01-01Yes194 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Emil JohanssonBears (Was)D201996-01-01Yes189 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Gianluca CurcurutoBears (Was)D221994-01-01Yes195 Lbs6 ft0NoNoNo3Pro & Farm450,000$0$0$No500,000$550,000$
Jake AllenBears (Was)G261990-01-01No195 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Jake VirtanenBears (Was)RW201996-01-01Yes226 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No800,000$
Jakob LiljaBears (Was)LW231993-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Jakob StenqvistBears (Was)D181998-01-01Yes179 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jamie McGinnBears (Was)LW281988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm425,000$0$0$No
Jesper PetterssonBears (Was)D211995-01-01Yes189 Lbs5 ft9NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Joey LaleggiaBears (Was)D241992-01-01Yes182 Lbs5 ft9NoNoNo2Pro & Farm900,000$0$0$No900,000$
Kerby RychelBears (Was)LW221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No900,000$
Logan O'ConnorBears (Was)RW201996-01-01Yes174 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mackenze StewartBears (Was)D201996-01-01Yes230 Lbs6 ft4NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Magnus HellbergBears (Was)G251991-01-01No185 Lbs6 ft5NoNoNo1Pro & Farm950,000$0$0$No
Michael PrapavessisBears (Was)D201996-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mike HoffmanBears (Was)LW271989-01-01No185 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$
Mikko VainonenBears (Was)D221994-01-01Yes222 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Nicholas CaamanoBears (Was)RW181998-01-01Yes201 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nicolas Aube-KubelBears (Was)RW201996-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$
Nikolay ProkhorkinBears (Was)LW231993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm450,000$0$0$No
Ryan GravesBears (Was)D211995-01-01Yes225 Lbs6 ft4NoNoNo1Pro & Farm450,000$0$0$No
Taylor AronsonBears (Was)D251991-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm250,000$0$0$No
Tommy VannelliBears (Was)D211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm400,000$0$0$No600,000$600,000$
Vincent DunnBears (Was)C211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm360,000$0$0$No
Warren FoegeleBears (Was)LW201996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Zach StepanBears (Was)C221994-01-01Yes165 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3421.94196 Lbs6 ft11.82538,088$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanAngelo EspositoJake Virtanen35014
2Jamie McGinnZach StepanNicolas Aube-Kubel30023
3Brendan PerliniDylan GambrellAustin Wuthrich20023
4Kerby RychelVincent DunnBrett Bulmer15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor Aronson40023
2Derek ForbortTommy Vannelli30023
3Michael PrapavessisGianluca Curcuruto20032
4Taylor Aronson10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HoffmanDylan GambrellJake Virtanen60014
2Jamie McGinnZach StepanNicolas Aube-Kubel40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor Aronson60023
2Derek ForbortTommy Vannelli40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach StepanNicolas Aube-Kubel60041
2Vincent DunnJamie McGinn40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derek Forbort60041
2Taylor AronsonTommy Vannelli40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Stepan60050Tommy Vannelli60050
2Vincent Dunn40050Taylor AronsonMichael Prapavessis40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellJake Virtanen55023
2Zach StepanMike Hoffman45023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taylor Aronson60023
2Gianluca CurcurutoTommy Vannelli40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kerby RychelDylan GambrellJake VirtanenTaylor Aronson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kerby RychelZach StepanNicolas Aube-KubelTaylor Aronson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Virtanen, Nicolas Aube-Kubel, Mike HoffmanMike Hoffman, Jake VirtanenJamie McGinn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Taylor Aronson, Gianluca Curcuruto, Taylor Aronson
Tirs de pénalité
Brendan Perlini, Mike Hoffman, Jake Virtanen, Nicolas Aube-Kubel, Dylan Gambrell
Gardien
#1 : Jake Allen, #2 : Magnus Hellberg


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
1Admirals20200000710-31010000056-11010000024-200.00071017001031301051558925105584559672610385120.00%5260.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
2Barracuda2010001078-11010000013-21000001065120.5007111800103130105157492510558455973240419111.11%000.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
3Comets321000001495110000006332110000086240.66714253900103130105151129251055845591153685419421.05%40100.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
4Condors211000001082110000006331010000045-120.5001018280010313010515939251055845597321639500.00%3166.67%0970193150.23%917181350.58%683138049.49%169994816897531461729
5Crunch421010002218431101000171521100000053260.750223557001031301051516292510558455913034491018337.50%22577.27%0970193150.23%917181350.58%683138049.49%169994816897531461729
6Devils623000012625131200000812-4311000011813550.4172641671010313010515214925105584559200703412127311.11%12375.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
7Eagles421010002114722000000124820101000910-160.750213657101031301051513492510558455912644266917423.53%13376.92%0970193150.23%917181350.58%683138049.49%169994816897531461729
8Griffins311000109901010000014-32100001085340.66791322001031301051598925105584559994214638112.50%7185.71%0970193150.23%917181350.58%683138049.49%169994816897531461729
9Heat220000001468110000008351100000063341.0001425390010313010515739251055845595611144315426.67%7271.43%1970193150.23%917181350.58%683138049.49%169994816897531461729
10Icehogs22000000945110000004311100000051441.00091524001031301051566925105584559743310381119.09%5180.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
11Little Stars3110000114140110000007522010000179-230.50014223600103130105159892510558455992312072700.00%10460.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
12Marlies3110000111101110000004132010000179-230.500111930001031301051510992510558455910126145314214.29%7185.71%0970193150.23%917181350.58%683138049.49%169994816897531461729
13Monsters20200000812-41010000046-21010000046-200.0008142220103130105157192510558455970206505120.00%3166.67%0970193150.23%917181350.58%683138049.49%169994816897531461729
14Moose20200000710-31010000034-11010000046-200.0007101700103130105157892510558455964188469333.33%4325.00%1970193150.23%917181350.58%683138049.49%169994816897531461729
15Penguins3210000014122110000005322110000099040.66714233700103130105151019251055845598737226615426.67%11281.82%0970193150.23%917181350.58%683138049.49%169994816897531461729
16Phantoms2020000058-31010000035-21010000023-100.000581300103130105157792510558455976221037600.00%5180.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
17Punishers310011001512320001100101001100000052350.833152742001031301051511192510558455910931145710110.00%70100.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
18Rampage311000011012-22110000067-11000000145-130.50010152500103130105151019251055845599625207315213.33%10370.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
19Reign312000001114-32110000067-11010000057-220.3331118291010313010515919251055845599433165211327.27%8275.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
20Rocket211000008801010000026-41100000062420.50081523001031301051568925105584559672114524125.00%7357.14%0970193150.23%917181350.58%683138049.49%169994816897531461729
21Senators21100000550110000004311010000012-120.500571200103130105157592510558455958141420100.00%7271.43%0970193150.23%917181350.58%683138049.49%169994816897531461729
22Sound Tigers632001002930-1311001001218-6321000001712570.5832953820010313010515220925105584559177673714441819.51%16475.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
23Thunderbirds311000011920-121000001131301010000067-130.500193251001031301051511392510558455910830104917635.29%5340.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
24Wolfpack422000001516-11010000036-3321000001210240.500152338101031301051514592510558455912245448214214.29%22481.82%1970193150.23%917181350.58%683138049.49%169994816897531461729
25Wolves925000203545-10512000202126-5413000001419-580.4443562971010313010515304925105584559325121110206361130.56%551180.00%0970193150.23%917181350.58%683138049.49%169994816897531461729
Total80313503245345339640171602221171176-54014190102417416311830.51934557792270103130105152846925105584559265988253016663296620.06%2556275.69%3970193150.23%917181350.58%683138049.49%169994816897531461729
_Since Last GM Reset80313503245345339640171602221171176-54014190102417416311830.51934557792270103130105152846925105584559265988253016663296620.06%2556275.69%3970193150.23%917181350.58%683138049.49%169994816897531461729
_Vs Conference5121190322423422772611802221120122-2251011010031141059580.56923439462840103130105151815925105584559168757139410942264821.24%1874277.54%1970193150.23%917181350.58%683138049.49%169994816897531461729
_Vs Division217100012190100-101135001204156-1510450000149445200.4769015624620103130105157389251055845597022581814711042221.15%831878.31%0970193150.23%917181350.58%683138049.49%169994816897531461729

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8083L134557792228462659882530166670
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8031353245345339
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017162221171176
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4014191024174163
Derniers 10 matchs
WLOTWOTL SOWSOL
242101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3296620.06%2556275.69%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
92510558455910313010515
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
970193150.23%917181350.58%683138049.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169994816897531461729


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 - 2021-11-306Wolves1Bears2BWR1Sommaire du match
5 - 2021-12-0421Bears4Wolves7ALSommaire du match
7 - 2021-12-0627Bears3Devils5ALSommaire du match
9 - 2021-12-0840Wolves4Bears5BWXXR1Sommaire du match
12 - 2021-12-1158Bears6Sound Tigers3AWR1Sommaire du match
14 - 2021-12-1367Crunch6Bears3BLSommaire du match
18 - 2021-12-1786Bears5Wolves3AWR1Sommaire du match
20 - 2021-12-1993Bears3Wolfpack5ALSommaire du match
21 - 2021-12-20103Wolves4Bears5BWXXR1Sommaire du match
25 - 2021-12-24121Devils5Bears3BLSommaire du match
28 - 2021-12-27140Bears4Little Stars5ALSommaire du match
29 - 2021-12-28147Rampage2Bears3BWSommaire du match
32 - 2021-12-31159Bears3Wolves6ALR1Sommaire du match
34 - 2022-01-02172Sound Tigers7Bears1BLR1Sommaire du match
37 - 2022-01-05186Bears4Griffins2AWSommaire du match
39 - 2022-01-07198Bears3Penguins5ALSommaire du match
40 - 2022-01-08206Crunch4Bears8BWSommaire du match
43 - 2022-01-11221Penguins3Bears5BWSommaire du match
46 - 2022-01-14242Wolfpack6Bears3BLSommaire du match
48 - 2022-01-16256Bears5Reign7ALSommaire du match
51 - 2022-01-19269Thunderbirds9Bears8BLXXSommaire du match
54 - 2022-01-22284Bears6Penguins4AWSommaire du match
56 - 2022-01-24295Bears11Devils3AWSommaire du match
58 - 2022-01-26303Senators3Bears4BWSommaire du match
60 - 2022-01-28315Bears4Sound Tigers5ALR1Sommaire du match
62 - 2022-01-30327Devils2Bears4BWSommaire du match
66 - 2022-02-03347Little Stars5Bears7BWSommaire du match
68 - 2022-02-05360Bears2Phantoms3ALSommaire du match
70 - 2022-02-07369Bears4Devils5ALXXSommaire du match
71 - 2022-02-08380Eagles2Bears7BWSommaire du match
74 - 2022-02-11396Bears5Punishers2AWSommaire du match
76 - 2022-02-13404Bears3Little Stars4ALXXSommaire du match
78 - 2022-02-15411Icehogs3Bears4BWSommaire du match
80 - 2022-02-17424Bears4Griffins3AWXXSommaire du match
82 - 2022-02-19432Bears6Heat3AWSommaire du match
84 - 2022-02-21439Phantoms5Bears3BLSommaire du match
87 - 2022-02-24458Bears5Icehogs1AWSommaire du match
89 - 2022-02-26465Bears5Wolfpack3AWSommaire du match
90 - 2022-02-27470Marlies1Bears4BWSommaire du match
93 - 2022-03-02490Griffins4Bears1BLSommaire du match
97 - 2022-03-06510Wolves7Bears5BLR1Sommaire du match
100 - 2022-03-09526Bears4Monsters6ALSommaire du match
103 - 2022-03-12538Heat3Bears8BWSommaire du match
106 - 2022-03-15553Bears2Admirals4ALSommaire du match
108 - 2022-03-17563Sound Tigers5Bears4BLXR1Sommaire du match
110 - 2022-03-19573Bears6Barracuda5AWXXSommaire du match
114 - 2022-03-23590Moose4Bears3BLSommaire du match
119 - 2022-03-28613Rampage5Bears3BLSommaire du match
121 - 2022-03-30626Bears5Comets2AWSommaire du match
123 - 2022-04-01638Wolves10Bears4BLR1Sommaire du match
126 - 2022-04-04650Bears4Moose6ALSommaire du match
128 - 2022-04-06665Barracuda3Bears1BLSommaire du match
131 - 2022-04-09682Bears4Eagles3AWXSommaire du match
132 - 2022-04-10692Monsters6Bears4BLSommaire du match
136 - 2022-04-14713Reign5Bears2BLSommaire du match
138 - 2022-04-16724Bears4Wolfpack2AWSommaire du match
140 - 2022-04-18733Bears5Eagles7ALSommaire du match
141 - 2022-04-19742Devils5Bears1BLSommaire du match
145 - 2022-04-23763Bears3Comets4ALSommaire du match
146 - 2022-04-24769Sound Tigers6Bears7BWR1Sommaire du match
150 - 2022-04-28789Reign2Bears4BWSommaire du match
152 - 2022-04-30800Bears7Sound Tigers4AWR1Sommaire du match
154 - 2022-05-02812Bears5Crunch3AWSommaire du match
156 - 2022-05-04820Eagles2Bears5BWSommaire du match
158 - 2022-05-06834Bears4Condors5ALSommaire du match
159 - 2022-05-07845Rocket6Bears2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11865Bears6Rocket2AWSommaire du match
165 - 2022-05-13872Bears3Marlies4ALXXSommaire du match
166 - 2022-05-14879Condors3Bears6BWSommaire du match
169 - 2022-05-17895Admirals6Bears5BLSommaire du match
171 - 2022-05-19903Bears4Marlies5ALSommaire du match
176 - 2022-05-24925Comets3Bears6BWSommaire du match
177 - 2022-05-25935Bears1Senators2ALSommaire du match
181 - 2022-05-29951Punishers5Bears6BWXSommaire du match
183 - 2022-05-31965Bears6Thunderbirds7ALSommaire du match
186 - 2022-06-03980Crunch5Bears6BWXSommaire du match
190 - 2022-06-07998Bears4Rampage5ALXXSommaire du match
192 - 2022-06-091005Thunderbirds4Bears5BWSommaire du match
197 - 2022-06-141024Punishers5Bears4BLXSommaire du match
198 - 2022-06-151028Bears2Wolves3ALR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,40937,315
Assistance PCT94.26%93.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2818 - 93.94% 83,975$3,358,989$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,375,013$ 1,829,500$ 1,189,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,148$ 1,802,928$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,898$ 0$




Bears Leaders statistiques (saison régulière)

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

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 (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