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Bears
GP: 52 | W: 29 | L: 22 | OTL: 1 | P: 59
GF: 257 | GA: 205 | PP%: 24.71% | PK%: 74.58%
DG: Martin Thibault | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #804 vs Monsters
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Centre de jeu
Penguins
36-11-2, 74pts
5
FINAL
3 Bears
29-22-1, 59pts
Team Stats
W3StreakL2
16-6-2Home Record16-9-0
20-5-0Away Record13-13-1
6-4-0Last 10 Games2-8-0
4.86Goals Per Game4.94
2.47Goals Against Per Game3.94
30.12%Power Play Percentage24.71%
83.08%Penalty Kill Percentage74.58%
Bears
29-22-1, 59pts
2
FINAL
5 Marlies
34-14-3, 71pts
Team Stats
L2StreakW2
16-9-0Home Record20-7-1
13-13-1Away Record14-7-2
2-8-0Last 10 Games8-0-2
4.94Goals Per Game4.55
3.94Goals Against Per Game2.75
24.71%Power Play Percentage22.86%
74.58%Penalty Kill Percentage72.90%
Bears
29-22-1, 59pts
2023-01-31
Monsters
39-11-1, 79pts
Statistiques d’équipe
L2SéquenceSOW1
16-9-0Fiche domicile23-4-1
13-13-1Fiche visiteur16-7-0
2-8-010 derniers matchs6-3-1
4.94Buts par match 4.98
3.94Buts contre par match 2.55
24.71%Pourcentage en avantage numérique23.08%
74.58%Pourcentage en désavantage numérique78.18%
Bears
29-22-1, 59pts
2023-02-11
Bruins
33-14-3, 69pts
Statistiques d’équipe
L2SéquenceW5
16-9-0Fiche domicile19-5-2
13-13-1Fiche visiteur14-9-1
2-8-010 derniers matchs9-1-0
4.94Buts par match 4.18
3.94Buts contre par match 2.54
24.71%Pourcentage en avantage numérique28.18%
74.58%Pourcentage en désavantage numérique82.00%
Barracuda
29-18-4, 62pts
2023-02-12
Bears
29-22-1, 59pts
Statistiques d’équipe
L1SéquenceL2
13-9-2Fiche domicile16-9-0
16-9-2Fiche visiteur13-13-1
6-3-110 derniers matchs2-8-0
4.67Buts par match 4.94
3.27Buts contre par match 3.94
29.13%Pourcentage en avantage numérique24.71%
78.79%Pourcentage en désavantage numérique74.58%
Meneurs d'équipe
Andy AndreoffButs
Andy Andreoff
17
Andy AndreoffPasses
Andy Andreoff
35
Andy AndreoffPoints
Andy Andreoff
52
Andy AndreoffPlus/Moins
Andy Andreoff
46
Magnus HellbergVictoires
Magnus Hellberg
20
Magnus HellbergPourcentage d’arrêts
Magnus Hellberg
0.92

Statistiques d’équipe
Buts pour
257
4.94 GFG
Tirs pour
2410
46.35 Avg
Pourcentage en avantage numérique
24.7%
21 GF
Début de zone offensive
42.9%
Buts contre
205
3.94 GAA
Tirs contre
1845
35.48 Avg
Pourcentage en désavantage numérique
74.6%
30 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralMartin Thibault
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 250
Espoirs64


Historique d'équipe

Saison actuelle29-22-1 (59PTS)
Historique425-322-40 (0.540%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)26-31
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
1Eric RobinsonX100.00743693658182866359666473636769050660263975,000$
2Ryan PoehlingX100.00683794688079866780646763666365050660222750,000$
3Fredrik Karlstrom (R)X100.00683892638276886672655861596466050640232795,000$
4Mike VecchioneXX100.00593691626980796163596061646971050620282750,000$
5Brandon DuhaimeXX100.00717758618076815956625763596466050610242750,000$
6Nate SchnarrX100.00703684597982875867605957616365050610221894,167$
7Oskar Back (R)X100.00733892598465835865575659556264050610213925,000$
8Pierre-Cedric Labrie (R)X100.00804372538969845457555659557678050610341650,000$
9Lukas Rousek (R)XX100.00583692636874655952575553596365050590222830,000$
10Mathias Laferriere (R)X100.00693791517869845256535455536264050580212800,000$
11Robert Trivigno (R)X100.006237835761806356525554535863650505802231,243,750$
12Andy WelinskiX100.00673989637884686230615558516972050620281750,000$
13Brian LashoffX100.00774283578665885630555458467277050610311750,000$
14Cameron GaunceX100.00673977607672855830615559477274050610311700,000$
15Ryan SheaX100.006438895873658957306252564665670506002411,562,500$
16Alexander Peters (R)X100.00714365569068635930585461456668050600251650,000$
17Andreas EnglundX100.00724661578163855630555358456668050590251700,000$
Rayé
1Christopher BrownX100.00613793527076655358545552566668050570251650,000$
2Felix BibeauX100.00633473557271625363565355566365050570221650,000$
3Max Zimmer (R)X100.00663787537571605255545053516567050570231650,000$
4Brogan RaffertyX100.00653892677379846630655667516769050640261750,000$
5Dawson BarteauxX100.00653892537462665530535254456264050570212783,333$
MOYENNE D’ÉQUIPE100.0068408459777377585059565954666805061
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 Hellberg (R)100.0072717294717072717072717085050630302800,000$
Rayé
MOYENNE D’ÉQUIPE100.007271729471707271707271708505063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Eric RobinsonBears (WSH)LW525243954710070983549424014.69%32108320.8365115075314141164357.38%6100141.7504000854
2Mike VecchioneBears (WSH)C/RW523944833460501002988119013.09%16120623.203692074000005258.33%7200021.3823000534
3Fredrik KarlstromBears (WSH)C52313061900161672617117811.88%1997618.7713416610003485158.87%129600001.2514000342
4Brandon DuhaimeBears (WSH)LW/RW521836541122012275238551597.56%1597218.7014515621011361152.22%9000001.1100000322
5Andy AndreoffCapitalsC4317355246160111123174531049.77%1088820.6627919560336981064.22%129400001.1703000251
6Brogan RaffertyBears (WSH)D3774047358068639419487.45%6591924.861231950000175100.00%000001.0200000121
7Nate SchnarrBears (WSH)C5219254498095118200431429.50%1677614.92000210001121061.37%89300101.1300000024
8Ryan PoehlingBears (WSH)C321624402202979127489712.60%2351516.12000000001240161.22%53900001.5501000020
9Alexander PetersBears (WSH)D52132740112801474774245417.57%8474514.340000000003210.00%000001.0700000230
10Lukas RousekBears (WSH)LW/RW521325388002681177641247.34%1376114.6500012000052049.09%5500001.0000000002
11Brian LashoffBears (WSH)D5292534224201233867154013.43%5697718.802461858000070000.00%000000.7000000111
12Pierre-Cedric LabrieBears (WSH)LW5214193393401174616329848.59%1597718.8000011610001481063.77%6900000.6800000133
13Andy WelinskiBears (WSH)D526263222440131368423677.14%75113021.743362677000180100.00%000000.5700000002
14Cameron GaunceBears (WSH)D52230322726094495331423.77%6498518.952351558011175100.00%000000.6500000001
15Mathias LaferriereBears (WSH)RW5282230880694012335826.50%1375414.5200002000000148.00%5000000.7900000000
16Andreas EnglundBears (WSH)D5221012-240531015101213.33%162364.540000000000000.00%000001.0200000000
17Ryan SheaBears (WSH)D8033000674160.00%712315.470000000005000.00%000000.4800000000
18Oskar BackBears (WSH)C52133205383725.00%0295.9500000000001059.46%3700002.0200000000
Statistiques d’équipe totales ou en moyenne8012684657333012600133211802514699167610.66%5391406117.5521375821264145930702261060.88%445600261.04315000263227
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
1Magnus HellbergBears (WSH)2820710.9202.52164500698620210.85772833112
Statistiques d’équipe totales ou en moyenne2820710.9202.52164500698620210.85772833112


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 Plafond 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
Alexander PetersBears (WSH)D251996-07-02Yes220 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Andreas EnglundBears (WSH)D251996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Andy WelinskiBears (WSH)D281993-04-27No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brandon DuhaimeBears (WSH)LW/RW241997-05-22No200 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Brian LashoffBears (WSH)D311990-07-16No213 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brogan RaffertyBears (WSH)D261995-05-28No195 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Cameron GaunceBears (WSH)D311990-03-19No194 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Christopher BrownBears (WSH)RW251996-02-22No179 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Dawson BarteauxBears (WSH)D212000-01-12No185 Lbs6 ft1NoNoNo2Pro & Farm783,333$0$0$No783,333$Lien / Lien NHL
Eric RobinsonBears (WSH)LW261995-06-14No201 Lbs6 ft2NoNoNo3Pro & Farm975,000$0$0$No1,600,000$1,600,000$Lien / Lien NHL
Felix BibeauBears (WSH)C221999-03-31No186 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Fredrik KarlstromBears (WSH)C231998-01-12Yes195 Lbs6 ft3NoNoNo2Pro & Farm795,000$0$0$No750,000$Lien NHL
Lukas RousekBears (WSH)LW/RW221999-04-20Yes171 Lbs5 ft11NoNoNo2Pro & Farm830,000$0$0$No830,000$Lien NHL
Magnus HellbergBears (WSH)G301991-04-04Yes209 Lbs6 ft6NoNoNo2Pro & Farm800,000$0$0$No750,000$Lien NHL
Mathias LaferriereBears (WSH)RW212000-06-27Yes188 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien NHL
Max ZimmerBears (WSH)LW231997-10-29Yes202 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Mike VecchioneBears (WSH)C/RW281993-02-25No193 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nate SchnarrBears (WSH)C221999-02-25No180 Lbs6 ft3NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Oskar BackBears (WSH)C212000-03-12Yes205 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Pierre-Cedric LabrieBears (WSH)LW341986-12-06Yes226 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Robert TrivignoBears (WSH)LW221999-01-19Yes161 Lbs5 ft8NoNoNo3Pro & Farm1,243,750$0$0$No1,243,750$1,243,750$Lien / Lien NHL
Ryan PoehlingBears (WSH)C221999-01-03No196 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ryan SheaBears (WSH)D241997-02-11No177 Lbs6 ft1NoNoNo1Pro & Farm1,562,500$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.04194 Lbs6 ft11.61815,598$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonMike Vecchione40122
2Pierre-Cedric LabrieFredrik KarlstromBrandon Duhaime30122
3Lukas RousekNate SchnarrMathias Laferriere20122
4Mike Vecchione10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy Welinski40122
2Brian LashoffCameron Gaunce30122
3Alexander Peters20122
4Andreas Englund10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonMike Vecchione60122
2Pierre-Cedric LabrieFredrik KarlstromBrandon Duhaime40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy Welinski60122
2Brian LashoffCameron Gaunce40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Eric Robinson60122
2Fredrik KarlstromPierre-Cedric Labrie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy Welinski60122
2Brian LashoffCameron Gaunce40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Andy Welinski60122
2Fredrik Karlstrom40122Brian LashoffCameron Gaunce40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Eric Robinson60122
2Fredrik KarlstromPierre-Cedric Labrie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andy Welinski60122
2Brian LashoffCameron Gaunce40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonMike VecchioneAndy Welinski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonMike VecchioneAndy Welinski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Duhaime, Pierre-Cedric Labrie, Nate SchnarrBrandon Duhaime, Pierre-Cedric LabrieBrandon Duhaime
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Alexander Peters, Andreas Englund, Alexander Peters
Tirs de pénalité
Eric Robinson, , Fredrik Karlstrom, Mike Vecchione, Brandon Duhaime
Gardien
#1 : , #2 :


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
1Admirals220000001861211000000752110000001111041.00018355300110905431477498458042783160462150.00%000.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
2Americans11000000862110000008620000000000021.000812200011090543537498458042731100294250.00%000.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
3Bruins10000010651100000106510000000000021.0006101600110905434674984580427187623100.00%3233.33%01067190356.07%889159255.84%54894557.99%137510131132327632329
4Canucks2200000016412110000008351100000081741.00016304600110905431167498458042749171852000.00%9188.89%11067190356.07%889159255.84%54894557.99%137510131132327632329
5Checkers11000000624000000000001100000062421.000691500110905433274984580427126818400.00%40100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
6Comets20100001510-50000000000020100001510-510.2505914001109054368749845804275458437228.57%220.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
7Condors220000001239110000008261100000041341.0001224360011090543142749845804273614642100.00%30100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
8Crunch2110000047-3110000004221010000005-520.500471100110905437074984580427672214456116.67%7271.43%01067190356.07%889159255.84%54894557.99%137510131132327632329
9Eagles22000000209111100000012391100000086241.0002035550011090543120749845804279019662200.00%30100.00%11067190356.07%889159255.84%54894557.99%137510131132327632329
10Firebirds220000001129110000004131100000071641.00011213200110905431337498458042764198472150.00%40100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
11Griffins211000008801010000067-11100000021120.500812200011090543657498458042771211647100.00%7271.43%01067190356.07%889159255.84%54894557.99%137510131132327632329
12IceHogs1010000035-2000000000001010000035-200.000347101109054343749845804275412428100.00%20100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
13Islanders1010000038-5000000000001010000038-500.0003690011090543387498458042744184266233.33%20100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
14Marlies32100000981110000003122110000067-140.66791423001109054393749845804271233720736116.67%9188.89%11067190356.07%889159255.84%54894557.99%137510131132327632329
15Monsters20200000712-51010000036-31010000046-200.000713200011090543737498458042789161066100.00%5340.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
16Moose20200000810-21010000045-11010000045-100.000815230011090543111749845804277119656100.00%10100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
17Penguins21100000770211000007700000000000020.50071118001109054368749845804277924652600.00%20100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
18Phantoms422000002122-1211000001183211000001014-440.50021335400110905431437498458042716649261008450.00%12558.33%01067190356.07%889159255.84%54894557.99%137510131132327632329
19Reign10000010431100000104310000000000021.000448001109054330749845804274911227100.00%10100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
20Roadrunners201000107701010000023-11000001054120.5007121900110905436474984580427932718614125.00%9277.78%01067190356.07%889159255.84%54894557.99%137510131132327632329
21Rocket220000001841422000000184140000000000041.00018325000110905431547498458042731124503266.67%20100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
22Senators30300000515-101010000026-42020000039-600.0005914001109054313674984580427122401659200.00%6350.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
23Silver Knights20200000315-121010000016-51010000029-700.000347001109054367749845804271003214466116.67%6350.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
24Stars22000000194151100000010191100000093641.0001936550011090543112749845804275215105222100.00%50100.00%11067190356.07%889159255.84%54894557.99%137510131132327632329
25Thunderbirds1010000034-1000000000001010000034-100.000358001109054333749845804274512434100.00%20100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
26Wild1010000057-21010000057-20000000000000.0005914001109054328749845804274282172150.00%110.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
27Wolf Pack1010000007-7000000000001010000007-700.000000001109054322749845804273416625200.00%3166.67%01067190356.07%889159255.84%54894557.99%137510131132327632329
28Wolves1100000011290000000000011000000112921.00011203100110905438774984580427173233200.00%10100.00%01067190356.07%889159255.84%54894557.99%137510131132327632329
29Wranglers220000001037110000006151100000042241.00010182800110905431167498458042759181453100.00%7271.43%01067190356.07%889159255.84%54894557.99%137510131132327632329
Total522622000312572055225149000201399247271213000111181135590.567257449706101109054324107498458042718455252581312852124.71%1183074.58%41067190356.07%889159255.84%54894557.99%137510131132327632329
_Since Last GM Reset522622000312572055225149000201399247271213000111181135590.567257449706101109054324107498458042718455252581312852124.71%1183074.58%41067190356.07%889159255.84%54894557.99%137510131132327632329
_Vs Conference26101400011102117-1512740001062451714310000014072-32230.4421021702720011090543102974984580427915274132643571424.56%591967.80%11067190356.07%889159255.84%54894557.99%137510131132327632329
_Vs Division1346000105468-145220001021210824000003347-14100.38554921460011090543499749845804274831316234532825.00%271159.26%01067190356.07%889159255.84%54894557.99%137510131132327632329

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5259L225744970624101845525258131210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5226220031257205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25149002013992
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2712130011118113
Derniers 10 matchs
WLOTWOTL SOWSOL
180010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
852124.71%1183074.58%4
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
7498458042711090543
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
1067190356.07%889159255.84%54894557.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
137510131132327632329


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
6 - 2022-10-125Bruins5Bears6BWXXSommaire du match
7 - 2022-10-1315Bears4Marlies2AWSommaire du match
9 - 2022-10-1529Rocket1Bears8BWSommaire du match
11 - 2022-10-1743Canucks3Bears8BWSommaire du match
14 - 2022-10-2065Bears0Senators3ALSommaire du match
16 - 2022-10-2280Reign3Bears4BWXXSommaire du match
18 - 2022-10-2493Bears2Comets6ALSommaire du match
21 - 2022-10-27117Bears9Stars3AWSommaire du match
23 - 2022-10-29136Bears11Admirals1AWSommaire du match
25 - 2022-10-31145Bears11Wolves2AWSommaire du match
26 - 2022-11-01150Silver Knights6Bears1BLSommaire du match
28 - 2022-11-03164Bears2Griffins1AWSommaire du match
30 - 2022-11-05179Roadrunners3Bears2BLSommaire du match
32 - 2022-11-07195Condors2Bears8BWSommaire du match
34 - 2022-11-09208Penguins2Bears4BWSommaire du match
36 - 2022-11-11222Crunch2Bears4BWSommaire du match
38 - 2022-11-13242Bears0Crunch5ALSommaire du match
40 - 2022-11-15253Bears6Checkers2AWSommaire du match
42 - 2022-11-17269Bears3Thunderbirds4ALSommaire du match
44 - 2022-11-19279Eagles3Bears12BWSommaire du match
48 - 2022-11-23312Phantoms1Bears8BWSommaire du match
50 - 2022-11-25322Wranglers1Bears6BWSommaire du match
51 - 2022-11-26336Bears3Comets4ALXXSommaire du match
54 - 2022-11-29359Bears8Canucks1AWSommaire du match
56 - 2022-12-01374Bears7Firebirds1AWSommaire du match
58 - 2022-12-03390Bears4Wranglers2AWSommaire du match
60 - 2022-12-05400Bears4Condors1AWSommaire du match
62 - 2022-12-07413Bears6Phantoms4AWSommaire du match
64 - 2022-12-09427Firebirds1Bears4BWSommaire du match
66 - 2022-12-11446Bears4Moose5ALSommaire du match
68 - 2022-12-13463Bears3IceHogs5ALSommaire du match
70 - 2022-12-15471Stars1Bears10BWSommaire du match
72 - 2022-12-17491Marlies1Bears3BWSommaire du match
74 - 2022-12-19503Griffins7Bears6BLSommaire du match
77 - 2022-12-22528Bears3Senators6ALSommaire du match
78 - 2022-12-23537Moose5Bears4BLSommaire du match
82 - 2022-12-27549Bears0Wolf Pack7ALSommaire du match
84 - 2022-12-29566Senators6Bears2BLSommaire du match
86 - 2022-12-31581Rocket3Bears10BWSommaire du match
89 - 2023-01-03599Americans6Bears8BWSommaire du match
91 - 2023-01-05617Bears4Monsters6ALSommaire du match
92 - 2023-01-06622Admirals5Bears7BWSommaire du match
94 - 2023-01-08639Monsters6Bears3BLSommaire du match
97 - 2023-01-11659Bears4Phantoms10ALSommaire du match
100 - 2023-01-14681Phantoms7Bears3BLSommaire du match
102 - 2023-01-16702Bears3Islanders8ALSommaire du match
103 - 2023-01-17707Wild7Bears5BLSommaire du match
105 - 2023-01-19726Bears5Roadrunners4AWXXSommaire du match
107 - 2023-01-21745Bears2Silver Knights9ALSommaire du match
110 - 2023-01-24764Bears8Eagles6AWSommaire du match
112 - 2023-01-26773Penguins5Bears3BLSommaire du match
115 - 2023-01-29800Bears2Marlies5ALSommaire du match
117 - 2023-01-31804Bears-Monsters-
128 - 2023-02-11838Bears-Bruins-
129 - 2023-02-12847Barracuda-Bears-
131 - 2023-02-14855Wolves-Bears-
133 - 2023-02-16870Checkers-Bears-
135 - 2023-02-18889Bears-Wolves-
138 - 2023-02-21909Griffins-Bears-
140 - 2023-02-23920Gulls-Bears-
142 - 2023-02-25937Wolf Pack-Bears-
143 - 2023-02-26947Bears-Americans-
146 - 2023-03-01973Bears-Gulls-
149 - 2023-03-04992Bears-Barracuda-
151 - 2023-03-061011Bears-Reign-
154 - 2023-03-091029Comets-Bears-
156 - 2023-03-111048Bears-Islanders-
159 - 2023-03-141067Bears-Wolf Pack-
160 - 2023-03-151076Americans-Bears-
162 - 2023-03-171093Thunderbirds-Bears-
164 - 2023-03-191109Bears-Wild-
166 - 2023-03-211121Monsters-Bears-
168 - 2023-03-231135IceHogs-Bears-
170 - 2023-03-251162Bears-Penguins-
174 - 2023-03-291187Islanders-Bears-
175 - 2023-03-301194Bears-Crunch-
178 - 2023-04-021217Wolf Pack-Bears-
182 - 2023-04-061247Bears-Rocket-
184 - 2023-04-081262Checkers-Bears-
186 - 2023-04-101278Islanders-Bears-
187 - 2023-04-111290Bears-Bruins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131301Comets-Bears-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,154,836$ 1,875,875$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,154,836$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 9,925$ 734,450$




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
2824219032115299215844123902241149106434119100107415010941119299515814140105909028590931932945211263492316103597019.50%3567778.37%81734290959.61%1513254359.50%779133258.48%2210156217315961066560
382352801477260225354119140024213310924411614012351271161197260454714040908280282108689329922720858104917073096119.74%3985885.43%21381286248.25%1306297943.84%585127845.77%2035142219346021033514
482116600122232430-1984193000110120197-774123600012112233-121292323836152008587582652086390986832899041210197756510017.70%51617166.86%2900287231.34%813271729.92%420138330.37%180112262160627980460
582413002360268202664120180102012310221412112013401451004510126847974717095858027330921896892251472252420542004924.50%2143683.18%11342270249.67%1229267445.96%597125147.72%209115191869547997507
6825718021313722201524130700031198108904127110210017411262126372658103004013612810336250119412051208261377055521032135324.88%2224181.53%51830320057.19%1492280553.19%740134455.06%2206162317395401002517
782452403163326240864127802040186107794118160112314013371123265378630301261048735510115011431240294988951620722156329.30%2215774.21%11932327259.05%1504296050.81%791135058.59%216915951809534992512
88248290221036729077412119001001671452241271002110200145551043676319980201571109739030129612781314329496434919031835127.87%1403277.14%11680314153.49%1489295250.44%727141651.34%214216121841512951482
982324102223302334-3241182001101142161-1941142101122160173-13773025278293101178596320701105100710764109122730118851814524.86%1292779.07%01292286145.16%1619375043.17%652142445.79%165311712335562963444
1082244501372263290-274192501222126153-274115200015013713706926346172441101896511278693393090153299684238018851544126.62%1764673.86%01360279048.75%1383298546.33%624131447.49%1930135420085761034515
1152262200031257205522514900020139924727121300011118113559257449706101109054324107498458042718455252581312852124.71%1183074.58%41067190356.07%889159255.84%54894557.99%137510131132327632329
Total Saison régulière79036132201619482429462651295394190159079227148312802033961711630910261714631371928932946509480401226211109089070530547168210103100078615284418335606518508246455422.48%249057576.91%24145182851250.92%132372795747.35%64631303749.57%196161410118563542796544844
Séries éliminatoires
218108000005452210640000032284844000002224-22054991531002114166100206204172580155253354791417.72%1041585.58%132963751.65%31363649.21%15328952.94%441300432137238119
540400000821-1320200000412-82020000049-50814220002151160324539170461412315213.33%7185.71%03411729.06%4814832.43%257135.21%8558108284622
640400000813-52020000036-32020000057-2081422000134159045415213061261031400.00%12283.33%110218754.55%9114961.07%426861.76%11377103346130
7251411000007177-61284000004635111367000002542-1728711231940102120267910223261284102830817261484910.71%751580.00%040786547.05%475103945.72%18739147.83%542370682189315149
8624000001316-331200000910-13120000046-241320330105352110725774243564213017635.29%19384.21%013223456.41%13123156.71%377847.44%13393158437234
Total Séries éliminatoires57263100000154179-252915140000094913281117000006088-285215427042412050415618870578608621215162650713242093114.83%2173683.41%21004204049.22%1058220348.03%44489749.50%13168991484433735356