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Connexion

Bears
GP: 82 | W: 9 | L: 69 | OTL: 4 | P: 22
GF: 173 | GA: 615 | PP%: 9.55% | PK%: 69.40%
DG: Bo | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Admirals
30-48-4, 64pts
8
FINAL
5 Bears
9-69-4, 22pts
Team Stats
W1StreakL6
18-21-2Home Record8-31-2
12-27-2Away Record1-38-2
6-4-0Last 10 Games1-8-1
3.45Buts par match 2.11
4.71Buts contre par match 7.50
10.27%Pourcentage en avantage numérique9.55%
71.74%Pourcentage en désavantage numérique69.40%
Bears
9-69-4, 22pts
1
FINAL
10 Phantoms
52-26-4, 108pts
Team Stats
L6StreakW3
8-31-2Home Record28-11-2
1-38-2Away Record24-15-2
1-8-1Last 10 Games8-2-0
2.11Buts par match 5.18
7.50Buts contre par match 3.26
9.55%Pourcentage en avantage numérique18.77%
69.40%Pourcentage en désavantage numérique82.20%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
173
2.11 GFG
Tirs pour
1803
21.99 Avg
Pourcentage en avantage numérique
9.5%
19 GF
Début de zone offensive
26.4%
Buts contre
615
7.50 GAA
Tirs contre
4058
49.49 Avg
Pourcentage en désavantage numérique
69.4%%
41 GA
Début de la zone défensive
45.5%
Informations de l'équipe

Directeur généralBo
EntraîneurSergei Gonchar
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,949
Billets de saison0


Informations de la formation

Équipe Pro9
Équipe Mineure20
Limite contact 29 / 50
Espoirs23


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
1Arthur Kaliyev (R)XX100.0063528679726386752563715963555569506602131,035,833$
2Samuel Fagemo (R)XX100.007369827069727562505467636444446550620233910,833$
3Sampo Ranta (R)XX100.0073449370765759674650557325444561506002331,208,333$
4Alexei Protas (R)X100.008682956882596056705651684844446050590223888,333$
5Aidan Dudas (R)X100.006757916557636655695056585344445950560232791,667$
6Cameron DarcyX100.007568906368535548604744614244445350530291750,000$
7Ronnie Attard (R)X100.0081458471777043692550547825454563506402431,350,000$
8Jacob Moverare (R)X100.007143966874706457254947762545456050630243705,556$
9Kevin GravelX100.008378937078616549253941683956575550610311750,000$
Rayé
MOYENNE D’ÉQUIPE100.00756090697363646044515467434747615060
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sergei Gonchar74596859454659RUS473750,000$


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
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


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
Aidan DudasBears (WSH)C232000-06-15Yes162 Lbs5 ft8NoNoNo2Pro & Farm791,667$0$0$No791,667$Lien
Alexei ProtasBears (WSH)C222001-01-06Yes214 Lbs6 ft6NoNoNo3Pro & Farm888,333$0$0$No888,333$888,333$Lien
Arthur KaliyevBears (WSH)LW/RW212001-06-25Yes190 Lbs6 ft2NoNoNo3Pro & Farm1,035,833$0$0$No1,035,833$1,035,833$Lien
Cameron DarcyBears (WSH)C291994-03-02No186 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jacob MoverareBears (WSH)D241998-08-31Yes198 Lbs6 ft3NoNoNo3Pro & Farm705,556$0$0$No705,556$705,556$Lien
Kevin GravelBears (WSH)D311992-03-06No205 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Ronnie AttardBears (WSH)D241999-03-20Yes207 Lbs6 ft3NoNoNo3Pro & Farm1,350,000$0$0$No1,350,000$1,350,000$Lien
Sampo RantaBears (WSH)LW/RW232000-05-31Yes205 Lbs6 ft2NoNoNo3Pro & Farm1,208,333$0$0$No1,208,333$1,208,333$Lien
Samuel FagemoBears (WSH)LW/RW232000-03-14Yes190 Lbs5 ft11NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
924.44195 Lbs6 ft22.44932,284$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1 Americans20200000616-101010000057-21010000019-800.000612180060654553753760265221103351217300.00%6183.33%0488138735.18%744238531.19%448147230.43%10446993041569846305
2Admirals20200000816-81010000058-31010000038-500.0008152300606545566537602652211103324011100.00%10100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
3Barracudas2010100011110100010006511010000056-120.50011213200606545593537602652211052665111100.00%20100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
4Bruins40400000530-2520200000418-1420200000112-1100.000591400606545552537602652211784623481218.33%9366.67%0488138735.18%744238531.19%448147230.43%10446993041569846305
5Canucks40400000236-341010000019-830300000127-2600.0002460060654554853760265221185448411100.00%4175.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
6Checkers403010001026-1620200000415-1120101000611-520.250101929006065455805376026522119162186911218.18%80100.00%1488138735.18%744238531.19%448147230.43%10446993041569846305
7Comets20200000419-1510100000311-81010000018-700.000481200606545529537602652219426822700.00%330.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
8Condors20200000016-161010000008-81010000008-800.0000000060654551253760265221100181018600.00%5180.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
9Crunch20200000318-151010000027-510100000111-1000.00036900606545526537602652219520621200.00%3166.67%0488138735.18%744238531.19%448147230.43%10446993041569846305
10Eagles20200000215-131010000018-71010000017-600.000246006065455195376026522110027619400.00%2150.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
11Firebirds21100000810-2110000006421010000026-420.5008152300606545573537602652219538642200.00%3233.33%0488138735.18%744238531.19%448147230.43%10446993041569846305
12Griffins20200000116-151010000016-510100000010-1000.0001230060654552153760265221882617209111.11%4175.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
13Gulls20200000216-141010000019-81010000017-600.0002460060654553753760265221973110266116.67%4175.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
14Heat20200000123-2210100000112-1110100000011-1100.0001230060654552353760265221119211624400.00%7528.57%0488138735.18%744238531.19%448147230.43%10446993041569846305
15IceHogs20200000618-1210100000310-71010000038-500.00061117006065455525376026522111126443500.00%2150.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
16Marlies20200000020-2010100000010-1010100000010-1000.0000000060654552453760265221112301217700.00%6350.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
17Monsters30300000328-251010000029-720200000119-1800.00035800606545541537602652211534917231715.88%6266.67%0488138735.18%744238531.19%448147230.43%10446993041569846305
18Moose20200000115-141010000008-81010000017-600.000123006065455195376026522110848613300.00%3233.33%0488138735.18%744238531.19%448147230.43%10446993041569846305
19Penguins404000001029-1920200000512-720200000517-1200.00010192900606545510653760265221201631051500.00%5180.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
20Phantoms40400000832-2420200000315-1220200000517-1200.00081624006065455665376026522119948183517317.65%9188.89%0488138735.18%744238531.19%448147230.43%10446993041569846305
21Rampage 2110000010100110000006511010000045-120.500102030006065455995376026522196320447114.29%000.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
22Reign20200000116-151010000019-81010000007-700.000123006065455335376026522114034634500.00%30100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
23Roadrunners3100010112111210001007521000000156-140.66712223400606545517653760265221135274775120.00%20100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
24Rocket20200000223-2110100000110-910100000113-1200.000246006065455265376026522113927024400.00%000.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
25Senators30300000317-142020000029-71010000018-700.0003690060654553753760265221117458259111.11%4325.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
26Sound Tigers403000011520-5201000011012-22020000058-310.12515304500606545512553760265221173461653600.00%7357.14%0488138735.18%744238531.19%448147230.43%10446993041569846305
27Stars2100010011110110000006511000010056-130.75011223300606545510453760265221923911563133.33%30100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
28Thunderbirds40400000543-3820200000224-2220200000319-1600.00051015006065455505376026522124568294610220.00%12558.33%0488138735.18%744238531.19%448147230.43%10446993041569846305
29Wild20200000511-61010000013-21010000048-400.00051015006065455475376026522189388286116.67%40100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
30Wolf Pack522010001828-10320010001512320200000316-1360.600183452006065455159537602652212187810989111.11%50100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
31Wolves20200000015-151010000005-510100000010-1000.00000000606545523537602652217019411200.00%20100.00%0488138735.18%744238531.19%448147230.43%10446993041569846305
Total8266903202173615-4424163102101104290-186410380110169325-256220.134173334507006065455180353760265221405811703111136199199.55%1344169.40%1488138735.18%744238531.19%448147230.43%10446993041569846305
_Since Last GM Reset8266903202173615-4424163102101104290-186410380110169325-256220.134173334507006065455180353760265221405811703111136199199.55%1344169.40%1488138735.18%744238531.19%448147230.43%10446993041569846305
_Vs Conference492440200189385-296242200100155179-124250240100034206-17290.09289172261006065455890537602652212388678200593136128.82%852768.24%1488138735.18%744238531.19%448147230.43%10446993041569846305
_Vs Division262240200168182-11413211010014286-4413013010002696-7090.17368131199006065455606537602652211229372973517279.72%431076.74%1488138735.18%744238531.19%448147230.43%10446993041569846305

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8222L6173334507180340581170311113600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
826693202173615
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
416312101104290
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41038110169325
Derniers 10 matchs
WLOTWOTL SOWSOL
180001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
199199.55%1344169.40%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
537602652216065455
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
488138735.18%744238531.19%448147230.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10446993041569846305


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
2 - 2023-03-2311Bears1Canucks9ALSommaire du match
3 - 2023-03-2427Wolf Pack3Bears4BWSommaire du match
5 - 2023-03-2647Wolf Pack5Bears6BWSommaire du match
8 - 2023-03-2965Roadrunners4Bears3BLXSommaire du match
9 - 2023-03-3075Bears2Penguins10ALSommaire du match
11 - 2023-04-0190Bears0Monsters11ALSommaire du match
14 - 2023-04-04113Senators6Bears0BLSommaire du match
15 - 2023-04-05124Bears5Checkers4AWXSommaire du match
17 - 2023-04-07145Checkers9Bears3BLSommaire du match
19 - 2023-04-09157Bears1Thunderbirds10ALSommaire du match
20 - 2023-04-10164Bears0Bruins5ALSommaire du match
22 - 2023-04-12186Sound Tigers6Bears5BLXXSommaire du match
25 - 2023-04-15207Bears3Sound Tigers4ALSommaire du match
26 - 2023-04-16216Penguins6Bears2BLSommaire du match
29 - 2023-04-19240Thunderbirds12Bears1BLSommaire du match
31 - 2023-04-21260Bruins8Bears1BLSommaire du match
33 - 2023-04-23271Bears0Marlies10ALSommaire du match
34 - 2023-04-24284Bears4Wild8ALSommaire du match
36 - 2023-04-26297Bears1Checkers7ALSommaire du match
37 - 2023-04-27310Reign9Bears1BLSommaire du match
39 - 2023-04-29327Checkers6Bears1BLSommaire du match
43 - 2023-05-03352Bears5Barracudas6ALSommaire du match
44 - 2023-05-04365Wolves5Bears0BLSommaire du match
47 - 2023-05-07388Heat12Bears1BLSommaire du match
49 - 2023-05-09396Bears0Heat11ALSommaire du match
51 - 2023-05-11415Bears1Senators8ALSommaire du match
53 - 2023-05-13431Griffins6Bears1BLSommaire du match
55 - 2023-05-15452Bears3Admirals8ALSommaire du match
56 - 2023-05-16462Sound Tigers6Bears5BLSommaire du match
59 - 2023-05-19485Rocket10Bears1BLSommaire du match
62 - 2023-05-22508Bears1Gulls7ALSommaire du match
64 - 2023-05-24521Wolf Pack4Bears5BWXSommaire du match
66 - 2023-05-26539Bears0Condors8ALSommaire du match
67 - 2023-05-27550Bears1 Americans9ALSommaire du match
68 - 2023-05-28559Condors8Bears0BLSommaire du match
71 - 2023-05-31580Canucks9Bears1BLSommaire du match
73 - 2023-06-02594Bears1Moose7ALSommaire du match
75 - 2023-06-04613Bears1Rocket13ALSommaire du match
76 - 2023-06-05622Bruins10Bears3BLSommaire du match
79 - 2023-06-08646Moose8Bears0BLSommaire du match
80 - 2023-06-09660Bears2Sound Tigers4ALSommaire du match
83 - 2023-06-12678Senators3Bears2BLSommaire du match
85 - 2023-06-14695Bears5Stars6ALXSommaire du match
87 - 2023-06-16709Crunch7Bears2BLSommaire du match
88 - 2023-06-17723Bears0Wolves10ALSommaire du match
90 - 2023-06-19738Bears0Griffins10ALSommaire du match
91 - 2023-06-20748Rampage 5Bears6BWSommaire du match
95 - 2023-06-24774Gulls9Bears1BLSommaire du match
97 - 2023-06-26790Bears4Phantoms7ALSommaire du match
99 - 2023-06-28805Thunderbirds12Bears1BLSommaire du match
101 - 2023-06-30813Bears3IceHogs8ALSommaire du match
103 - 2023-07-02834Bears1Monsters8ALSommaire du match
104 - 2023-07-03844Firebirds4Bears6BWSommaire du match
106 - 2023-07-05862Bears3Penguins7ALSommaire du match
108 - 2023-07-07877IceHogs10Bears3BLSommaire du match
111 - 2023-07-10894Bears2Firebirds6ALSommaire du match
113 - 2023-07-12910Eagles8Bears1BLSommaire du match
114 - 2023-07-13925Bears3Wolf Pack8ALSommaire du match
116 - 2023-07-15942Penguins6Bears3BLSommaire du match
119 - 2023-07-18966Bears4Rampage 5ALSommaire du match
120 - 2023-07-19973Monsters9Bears2BLSommaire du match
122 - 2023-07-21990Bears1Bruins7ALSommaire du match
125 - 2023-07-241005Barracudas5Bears6BWXSommaire du match
127 - 2023-07-261018Bears0Wolf Pack8ALSommaire du match
129 - 2023-07-281038Bears0Reign7ALSommaire du match
130 - 2023-07-291046 Americans7Bears5BLSommaire du match
133 - 2023-08-011071Stars5Bears6BWSommaire du match
135 - 2023-08-031089Bears0Canucks10ALSommaire du match
137 - 2023-08-051102Marlies10Bears0BLSommaire du match
139 - 2023-08-071122Bears0Canucks8ALSommaire du match
140 - 2023-08-081130Bears1Comets8ALSommaire du match
141 - 2023-08-091142Phantoms8Bears2BLSommaire du match
144 - 2023-08-121162Roadrunners1Bears4BWSommaire du match
147 - 2023-08-151183Bears1Eagles7ALSommaire du match
149 - 2023-08-171201Phantoms7Bears1BLSommaire du match
151 - 2023-08-191220Bears5Roadrunners6ALXXSommaire du match
153 - 2023-08-211231Comets11Bears3BLSommaire du match
155 - 2023-08-231252Wild3Bears1BLSommaire du match
157 - 2023-08-251265Bears1Crunch11ALSommaire du match
159 - 2023-08-271282Bears2Thunderbirds9ALSommaire du match
163 - 2023-08-311296Admirals8Bears5BLSommaire du match
164 - 2023-09-011307Bears1Phantoms10ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,41839,480
Assistance PCT99.29%96.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2949 - 98.29% 69,503$2,849,630$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,537,451$ 839,055$ 839,055$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,055$ 787,463$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 9,573$ 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