Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Bears
GP: 24 | W: 14 | L: 9 | OTL: 1 | P: 29
GF: 81 | GA: 83 | PP%: 22.92% | PK%: 53.70%
DG: Mikael Raineault | Morale : 83 | Moyenne d’équipe : 64
Prochains matchs #381 vs Monsters
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Bears
14-9-1, 29pts
4
FINAL
2 Condors
14-11-1, 29pts
Team Stats
W5StreakL2
8-3-1Home Record6-4-1
6-6-0Away Record8-7-0
6-3-1Last 10 Games5-4-1
3.38Buts par match 3.54
3.46Buts contre par match 3.23
22.92%Pourcentage en avantage numérique41.38%
53.70%Pourcentage en désavantage numérique52.94%
Griffins
9-9-4, 22pts
5
FINAL
6 Bears
14-9-1, 29pts
Team Stats
L1StreakW5
6-3-3Home Record8-3-1
3-6-1Away Record6-6-0
4-5-1Last 10 Games6-3-1
3.50Buts par match 3.38
3.55Buts contre par match 3.46
38.89%Pourcentage en avantage numérique22.92%
61.54%Pourcentage en désavantage numérique53.70%
Monsters
13-11-0, 26pts
2024-12-02
Bears
14-9-1, 29pts
Statistiques d’équipe
W1SéquenceW5
7-5-0Fiche domicile8-3-1
6-6-0Fiche visiteur6-6-0
6-4-010 derniers matchs6-3-1
3.33Buts par match 3.38
3.75Buts contre par match 3.38
43.14%Pourcentage en avantage numérique22.92%
49.06%Pourcentage en désavantage numérique53.70%
Bears
14-9-1, 29pts
2024-12-05
Islanders
7-12-5, 19pts
Statistiques d’équipe
W5SéquenceOTL1
8-3-1Fiche domicile3-8-1
6-6-0Fiche visiteur4-4-4
6-3-110 derniers matchs3-4-3
3.38Buts par match 2.79
3.46Buts contre par match 2.79
22.92%Pourcentage en avantage numérique40.00%
53.70%Pourcentage en désavantage numérique43.24%
Stars
14-12-0, 28pts
2024-12-08
Bears
14-9-1, 29pts
Statistiques d’équipe
W1SéquenceW5
7-5-0Fiche domicile8-3-1
7-7-0Fiche visiteur6-6-0
3-7-010 derniers matchs6-3-1
3.19Buts par match 3.38
3.42Buts contre par match 3.38
35.09%Pourcentage en avantage numérique22.92%
60.66%Pourcentage en désavantage numérique53.70%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
81
3.38 GFG
Tirs pour
499
20.79 Avg
Pourcentage en avantage numérique
22.9%
11 GF
Début de zone offensive
27.9%
Buts contre
83
3.46 GAA
Tirs contre
520
21.67 Avg
Pourcentage en désavantage numérique
53.7%
25 GA
Début de la zone défensive
28.1%
Informations de l'équipe

Directeur généralMikael Raineault
EntraîneurAnders Sorensen
DivisionPacifique
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,978
Billets de saison1,600


Informations de la formation

Équipe Pro6
Équipe Mineure21
Limite contact 27 / 60
Espoirs3


Historique d'équipe

Saison actuelle14-9-1 (29PTS)
Historique86-92-12 (0.453%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Bogdan Trineyev (R)X100.00664173656664626041535462605050074610221859,167$
2William Stromgren (R)X100.00634173656663616143625358605050080610212900,833$
3Dennis CholowskiX100.00554074656768666640635760635450078630261775,000$
4Jared McIsaac (R)X100.00604072656463605740515261585250080600241750,000$
Rayé
MOYENNE D’ÉQUIPE100.0061417365666562614157546060525007861
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
1Jonas Johansson100.0082828292858177797983767063080770291925,000$
2Dylan Garand (R)100.0073636861686972687070565050080640221750,000$
Rayé
MOYENNE D’ÉQUIPE100.007873757777757574757766605708071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Anders Sorensen7368657259541SWE4911,000,000$


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 moyen 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
Bogdan TrineyevBears (WAS)RW222002-03-04Yes198 Lbs6 ft2NoNoNo1Pro & Farm859,167$615,461$0$0$No
Dennis CholowskiBears (WAS)D261998-02-15No210 Lbs6 ft2NoNoNo1Pro & Farm775,000$555,168$0$0$NoLien NHL
Dylan GarandBears (WAS)G222002-06-07Yes176 Lbs6 ft1NoNoNo1Pro & Farm750,000$537,260$0$0$No
Jared McIsaacBears (WAS)D242000-03-27Yes197 Lbs6 ft1NoNoNo1Pro & Farm750,000$537,260$0$0$NoLien NHL
Jonas JohanssonBears (WAS)G291995-09-19No219 Lbs6 ft5NoNoNo1Pro & Farm925,000$662,620$0$0$NoLien NHL
William StromgrenBears (WAS)LW212003-06-07Yes195 Lbs6 ft3NoNoNo2Pro & Farm900,833$645,308$0$0$No900,833$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
624.00199 Lbs6 ft21.17826,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
230122
322122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
230122
322122
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
1Admirals2110000045-11010000024-21100000021120.500461000640342341021882075441712213133.33%6266.67%115129052.07%13029344.37%22145848.25%526314520205398202
2Americans210000019901000000145-11100000054130.75091524006403424610218820754013823200.00%40100.00%015129052.07%13029344.37%22145848.25%526314520205398202
3Barracuda1010000024-2000000000001010000024-200.00024600640342161021882075216214300.00%110.00%015129052.07%13029344.37%22145848.25%526314520205398202
4Bruins11000000312110000003120000000000021.00035800640342131021882075277812100.00%4175.00%015129052.07%13029344.37%22145848.25%526314520205398202
5Comets1010000023-1000000000001010000023-100.0002350064034214102188207519529100.00%10100.00%015129052.07%13029344.37%22145848.25%526314520205398202
6Condors220000001055110000006331100000042241.0001020300064034246102188207525152256466.67%110.00%015129052.07%13029344.37%22145848.25%526314520205398202
7Crunch1010000034-11010000034-10000000000000.000358006403422210218820751951014200.00%5180.00%115129052.07%13029344.37%22145848.25%526314520205398202
8Eagles220000001073110000004311100000064241.00010192900640342421021882075472012264125.00%6266.67%015129052.07%13029344.37%22145848.25%526314520205398202
9Griffins2110000089-1110000006511010000024-220.5008142200640342431021882075421212306233.33%6350.00%015129052.07%13029344.37%22145848.25%526314520205398202
10Heat11000000431000000000001100000043121.0004812006403421910218820752436112150.00%3166.67%015129052.07%13029344.37%22145848.25%526314520205398202
11Islanders2010100037-4100010002111010000016-520.5003690064034227102188207534161018100.00%550.00%015129052.07%13029344.37%22145848.25%526314520205398202
12Marlies11000000431110000004310000000000021.0004812006403423110218820751664124125.00%2150.00%015129052.07%13029344.37%22145848.25%526314520205398202
13Penguins1010000025-3000000000001010000025-300.00024600640342241021882075229414200.00%2150.00%015129052.07%13029344.37%22145848.25%526314520205398202
14Wolf Pack20200000310-71010000015-41010000025-300.000358006403424610218820754814419200.00%220.00%015129052.07%13029344.37%22145848.25%526314520205398202
15Wolfes11000000532110000005320000000000021.0005813006403422510218820751544153133.33%2150.00%015129052.07%13029344.37%22145848.25%526314520205398202
16plote22000000954110000003211100000063341.00091827006403425110218820757721829600.00%4325.00%015129052.07%13029344.37%22145848.25%526314520205398202
Total24139010018183-2127301001433941266000003844-6290.60481148229006403424991021882075520173108292481122.92%542553.70%215129052.07%13029344.37%22145848.25%526314520205398202
_Since Last GM Reset24139010018183-2127301001433941266000003844-6290.60481148229006403424991021882075520173108292481122.92%542553.70%215129052.07%13029344.37%22145848.25%526314520205398202
_Vs Conference1811601000626119620100033294954000002932-3240.6676211617800640342380102188207539313476220401127.50%382242.11%115129052.07%13029344.37%22145848.25%526314520205398202
_Vs Division87401000322393410100014865330000018153161.000326193006403421711021882075181542410321628.57%12741.67%015129052.07%13029344.37%22145848.25%526314520205398202

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2429W58114822949952017310829200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2413910018183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
127310014339
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126600003844
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481122.92%542553.70%2
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
1021882075640342
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
15129052.07%13029344.37%22145848.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
526314520205398202


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2024-10-0513Bears4Heat3AWSommaire du match
4 - 2024-10-0625Bruins1Bears3BWSommaire du match
7 - 2024-10-0941Eagles3Bears4BWSommaire du match
9 - 2024-10-1151Bears6Eagles4AWSommaire du match
12 - 2024-10-1471Bears2Wolf Pack5ALSommaire du match
14 - 2024-10-1683plote2Bears3BWSommaire du match
18 - 2024-10-20105Admirals4Bears2BLSommaire du match
20 - 2024-10-22123Bears6plote3AWSommaire du match
22 - 2024-10-24129Bears2Penguins5ALSommaire du match
24 - 2024-10-26142Islanders1Bears2BWXSommaire du match
28 - 2024-10-30167Wolfes3Bears5BWSommaire du match
31 - 2024-11-02192Bears2Comets3ALSommaire du match
32 - 2024-11-03198Wolf Pack5Bears1BLSommaire du match
36 - 2024-11-07221Bears2Griffins4ALSommaire du match
38 - 2024-11-09233Marlies3Bears4BWSommaire du match
39 - 2024-11-10243Bears1Islanders6ALSommaire du match
42 - 2024-11-13254Bears2Barracuda4ALSommaire du match
44 - 2024-11-15267Americans5Bears4BLXXSommaire du match
48 - 2024-11-19292Crunch4Bears3BLSommaire du match
50 - 2024-11-21305Bears2Admirals1AWSommaire du match
52 - 2024-11-23322Condors3Bears6BWSommaire du match
54 - 2024-11-25330Bears5Americans4AWSommaire du match
56 - 2024-11-27345Bears4Condors2AWSommaire du match
59 - 2024-11-30362Griffins5Bears6BWSommaire du match
61 - 2024-12-02381Monsters-Bears-
64 - 2024-12-05397Bears-Islanders-
67 - 2024-12-08416Stars-Bears-
71 - 2024-12-12438Bears-Thunderbirds-
73 - 2024-12-14449Phantoms-Bears-
76 - 2024-12-17472Eagles-Bears-
78 - 2024-12-19485Bears-IceHogs-
80 - 2024-12-21500Bears-Wolf Pack-
82 - 2024-12-23510Wolf Pack-Bears-
85 - 2024-12-26534Islanders-Bears-
87 - 2024-12-28548Bears-Wolfes-
89 - 2024-12-30562Bears-Griffins-
91 - 2025-01-01571Penguins-Bears-
95 - 2025-01-05597Moose-Bears-
97 - 2025-01-07612Bears-Heat-
99 - 2025-01-09624Bears-Wild-
101 - 2025-01-11634Thunderbirds-Bears-
105 - 2025-01-15659Marlies-Bears-
108 - 2025-01-18679Bears-Monsters-
110 - 2025-01-20688Bears-Barracuda-
111 - 2025-01-21695plote-Bears-
115 - 2025-01-25723Rocket-Bears-
117 - 2025-01-27735Bears-Crunch-
119 - 2025-01-29749Bears- Gulls-
120 - 2025-01-30754Checkers-Bears-
124 - 2025-02-03777Bears-Penguins-
125 - 2025-02-04787plote-Bears-
129 - 2025-02-08814Senators-Bears-
131 - 2025-02-10828Bears-Devils-
133 - 2025-02-12837Bears-Moose-
135 - 2025-02-14851Devils-Bears-
138 - 2025-02-17877Plotes-Bears-
140 - 2025-02-19887Bears-Rocket-
143 - 2025-02-22905Bears-Marlies-
144 - 2025-02-23911Heat-Bears-
147 - 2025-02-26930Bears-Eagles-
149 - 2025-02-28941Admirals-Bears-
152 - 2025-03-03958Bears-Stars-
154 - 2025-03-05969Bears-Reigns-
156 - 2025-03-07980Wolfes-Bears-
159 - 2025-03-101000Bears-Marlies-
160 - 2025-03-111007Wild-Bears-
164 - 2025-03-151032Bears-Comets-
165 - 2025-03-161039IceHogs-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169 - 2025-03-201062Comets-Bears-
171 - 2025-03-221076Bears-Senators-
174 - 2025-03-251094Bruins-Bears-
177 - 2025-03-281111Bears-Plotes-
179 - 2025-03-301129Heat-Bears-
181 - 2025-04-011141Bears-Wolfes-
184 - 2025-04-041158Bears-Bruins-
185 - 2025-04-051165Barracuda-Bears-
190 - 2025-04-101190Reigns-Bears-
194 - 2025-04-141216Barracuda-Bears-
198 - 2025-04-181237Bears-Checkers-
202 - 2025-04-221246 Gulls-Bears-
206 - 2025-04-261268Bears-plote-
207 - 2025-04-271271Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50003000
Prix des billets2510
Assistance59,82035,910
Assistance PCT99.70%99.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
29 7978 - 99.72% 139,095$1,669,141$8000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
435,849$ 496,000$ 496,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 152,208$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,033,757$ 149 7,192$ 1,071,608$




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
1Karl Alzner821362757418393293.95%51144717.658715200112100.00%01.0401
2Dylan Sikura60112536-3022332843.87%992215.37000000000068.1800.7800
3Braydon Coburn1841216-3222131093.67%1344624.79358150000000.00%00.7211
4Slater Koekkoek7055-22208360.00%1015722.4401130000000.00%00.6400
5Dmitry Kulikov30446231100.00%87324.5201120000000.00%01.0900

Bears Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
2020823233010700307311-4411715063001551421341151804400152169-1791307587894204513012210214355177179031235376236611061646740.85%1848056.52%7489108645.03%582120448.34%798164948.39%1756104918157331378679
202182323706601289292-3411720022001401271341151704401149165-168328954883740381151307235260579694116199865329810361618150.31%1506954.00%8604116851.71%535101952.50%839157053.44%1733104818736991330657
202424139010018183-2127301001433941266000003844-62981148229006403424991021882075520173108292481122.92%542553.70%215129052.07%13029344.37%22145848.25%526314520205398202
Total Saison régulière1887492011911661734-7394384407311339355-1694364804600322379-57182661124219033172281296134330984160317094049411613773240136515542.47%38518751.43%111104234547.08%1117248844.90%1766370247.70%410624974097162831061533
Séries éliminatoires
2020624000002426-23120000013130312000001113-24244670004109113939544511695528739666.67%14750.00%0397154.93%407851.28%4711341.59%11466146549945
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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