Connexion

Bears
GP: 10 | W: 4 | L: 6
GF: 27 | GA: 27 | PP%: 10.71% | PK%: 57.89%
DG: Mark Budey | Morale : 35 | Moyenne d’équipe : 63
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Centre de jeu
Heat
10-7-0, 20pts
3
FINAL
1 Bears
4-6-0, 8pts
Team Stats
OTL2SéquenceL4
5-4-0Fiche domicile3-2-0
5-3-0Fiche domicile1-4-0
6-2-2Derniers 10 matchs4-4-2
3.71Buts par match 2.70
3.00Buts contre par match 2.70
22.50%Pourcentage en avantage numérique10.71%
70.37%Pourcentage en désavantage numérique57.89%
Heat
10-7-0, 20pts
3
FINAL
0 Bears
4-6-0, 8pts
Team Stats
OTL2SéquenceL4
5-4-0Fiche domicile3-2-0
5-3-0Fiche domicile1-4-0
6-2-2Derniers 10 matchs4-4-2
3.71Buts par match 2.70
3.00Buts contre par match 2.70
22.50%Pourcentage en avantage numérique10.71%
70.37%Pourcentage en désavantage numérique57.89%
Meneurs d'équipe
Buts
Cole Perfetti
4
Passes
Cole Perfetti
8
Points
Cole Perfetti
12
Plus/Moins
Evgeni Dadonov
4
Darcy KuemperVictoires
Darcy Kuemper
4
Darcy KuemperPourcentage d’arrêts
Darcy Kuemper
0.868

Statistiques d’équipe
Buts pour
27
2.70 GFG
Tirs pour
255
25.50 Avg
Pourcentage en avantage numérique
10.7%
3 GF
Début de zone offensive
39.8%
Buts contre
27
2.70 GAA
Tirs contre
205
20.50 Avg
Pourcentage en désavantage numérique
57.9%%
8 GA
Début de la zone défensive
29.4%
Informations de l'équipe

Directeur généralMark Budey
EntraîneurTodd Reirden
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,967
Billets de saison1,500


Informations de la formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 100
Espoirs64


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
1Jack McBainXX100.009689788086639267777765722564636685700251805,187$
2Kasperi KapanenX100.00734395887167876936696073257475657769X02811,417,000$
3Evgeni DadonovXX100.0070429682676479702568776038777769856803531,100,000$
4Aliaksei ProtasXXX100.006343987988658965417358762565646482680243958,319$
5Luke EvangelistaX100.006241938363669478317373582559586979680232896,667$
6Cole PerfettiXX100.0063419684666578794074775425636270806802331,127,000$
7Oskar SundqvistXX100.0077448781776486717367587725717265706803131,100,000$
8Lukas ReichelXX100.006241958165679273506257622560596279640234830,460$
9Raphael LavoieXX100.0074757369767882638057676365454566416302431,342,000$
10Grigori DenisenkoX100.0067637979648388635062606158474864446302431,078,000$
11Brett MurrayX100.0086888269887579605054616959474765416302621,471,000$
12Jesse PuljujarviX100.00824593807753726331536362256668635262X02711,247,000$
13Erik BrannstromXX100.0068428783667092702558567625696860807002512,034,000$
14Travis HamonicX100.00774478797665796325485180258382587770X03431,100,000$
15Robert BortuzzoX100.008067717381625662254148792574775567660362750,000$
16Jayden StrubleX100.008557738078697161254746702554535776650232867,500$
17Jordan SpenceX100.007242958365648372256248622559605979650243818,619$
18Nils LundkvistX100.006942927868647767256248612560606044630241924,759$
Rayé
1Max McCormickX100.006967756767828666505868636652526741630332750,000$
2Matthew Coronato (R)X100.005840947866637476346358672548486435620222925,000$
3Brennan Othmann (R)X100.006764737664697162506060605744446321600223863,333$
4Karson KuhlmanX100.007567936567717655504756665360616021590292750,000$
5Gabriel Fortier (R)X100.0071629364627681565050586155454561215802531,138,000$
6Axel Jonsson-FjallbyX100.007362846562566045644545594254555121530271779,313$
7Ilya SolovyovX100.007877806677738048253842624045455320590242894,352$
8Tobias BjornfotX100.0077738774735458432528396437585851215802421,165,000$
9Maksymilian Szuber (R)X100.007573806673677251254542614044445421580221750,000$
10Ryan O'Rourke (R)X100.006865756565778546253640573844445121570232894,167$
MOYENNE D’ÉQUIPE100.00735786767168796340565666375858615364
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
1Darcy Kuemper100.006275748965637466706260727361836903531,100,000$
2Henrik Tikkanen100.00644759866865707470683044446581650242823,750$
Rayé
1Louis Domingue100.00575366825960546159583059605825600333750,000$
2Aaron Dell100.00595366746263566363623044446025590363750,000$
3Oscar Dansk100.0048445581494850544949304444492552X0311750,000$
MOYENNE D’ÉQUIPE100.0058546482616061646260365353594861
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden40404040404040USA462750,000$


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
1Cole PerfettiBears (WAS)C/LW1048121001093392412.12%218618.67022520000050023.68%3852001.2900000021
2Jack McBainBears (WAS)C/LW10369-210032182681711.54%722422.450330260000140056.65%20343000.8000000101
3Kasperi KapanenBears (WAS)RW10459155111117141423.53%219119.180112210000130045.45%11131000.9400010100
4Luke EvangelistaBears (WAS)RW1035830091123121813.04%017217.23101321000010033.33%6103000.9300000101
5Aliaksei ProtasBears (WAS)C/LW/RW1034710011121841216.67%519219.22202421000083048.84%4361000.7300000002
6Evgeni DadonovBears (WAS)LW/RW104264001482841314.29%319019.02000321000070025.00%1233000.6300000000
7Oskar SundqvistBears (WAS)C/RW102244001952031210.00%314814.86000318000050056.14%5756000.5400000000
8Lukas ReichelBears (WAS)C/LW101232001310204145.00%415415.4900003000020043.59%3941000.3900000000
9Jordan SpenceBears (WAS)D1011230020853220.00%721221.24000015000011100%013000.1900000010
10Nils LundkvistBears (WAS)D10022200883320%515215.260000100019000%011000.2600000000
11Raphael LavoieBears (WAS)C/RW100222201163320%0989.8400001000000053.33%1510000.4100000000
12Robert BortuzzoBears (WAS)D10022360161611110%519419.4000001200007000%006000.2100000000
13Travis HamonicBears (WAS)D101120140211911289.09%924224.2100022400009000%014000.1700000000
14Jayden StrubleBears (WAS)D10011311520143240%516516.520000900004000%002000.1200010000
15Erik BrannstromBears (WAS)LW/D10011-120132117960%624724.74000328000116000%125000.0800000000
16Brett MurrayBears (WAS)LW1010100012970314.29%011311.380000100000000%113000.1800000000
17Jesse PuljujarviBears (WAS)RW5000000200000%0224.50000020000000100.00%20000000000000
18Matthew CoronatoBears (WAS)RW5000000011120%1183.690000100000000%00000000000000
19Grigori DenisenkoBears (WAS)RW10000-100607030%0535.350000000000000%13000000000000
20Max McCormickBears (WAS)LW6000000702100%0233.9300001000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne1862744712550102551862558315710.59%64300516.163692525500021194050.00%4326044000.4700020335
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
1Darcy KuemperBears (WAS)104420.8682.6760700272051160000100000
Statistiques d’équipe totales ou en moyenne104420.8682.676070027205116000100000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron DellBears (WAS)G361989-05-04ABNo205 Lbs6 ft0NoNoAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Aliaksei ProtasBears (WAS)C/LW/RW242001-01-06BELNo224 Lbs6 ft6NoNoN/ANoNo32025-04-30FalseFalsePro & Farm958,319$0$0$No1,004,000$1,004,000$-------1,004,000$1,004,000$-------NoNo-------Lien
Axel Jonsson-FjallbyBears (WAS)LW271998-02-10SWENo169 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm779,313$0$0$No---------------------------Lien
Brennan OthmannBears (WAS)LW222003-01-05ONTYes174 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm863,333$0$0$No863,333$863,333$-------863,333$863,333$-------NoNo-------
Brett MurrayBears (WAS)LW261998-07-19ONTNo235 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,471,000$0$0$No1,471,000$--------1,471,000$--------No--------Lien
Cole PerfettiBears (WAS)C/LW232002-01-01ONTNo176 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm1,127,000$0$0$No1,127,000$1,127,000$-------786,861$786,861$-------NoNo-------Lien
Darcy KuemperBears (WAS)G351990-05-04SKWNo216 Lbs6 ft5NoNoAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Erik BrannstromBears (WAS)LW/D251999-09-02SWENo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,034,000$0$0$No---------------------------Lien / Lien NHL
Evgeni DadonovBears (WAS)LW/RW351989-12-03RUSNo189 Lbs5 ft11NoNoAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien
Gabriel FortierBears (WAS)LW252000-02-06QUEYes170 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm1,138,000$0$0$No1,138,000$1,138,000$-------1,138,000$1,138,000$-------NoNo-------Lien
Grigori DenisenkoBears (WAS)RW242000-06-24RUSNo174 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm1,078,000$0$0$No1,078,000$1,078,000$-------993,518$993,518$-------NoNo-------Lien
Henrik TikkanenBears (WAS)G242000-09-28FINNo201 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm823,750$0$0$No823,750$--------823,750$--------No--------
Ilya SolovyovBears (WAS)D242000-07-20BELNo207 Lbs6 ft3NoNoN/ANoNo22025-04-30FalseFalsePro & Farm894,352$0$0$No1,183,000$--------1,183,000$--------No--------Lien
Jack McBainBears (WAS)C/LW252000-06-06ONTNo218 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm805,187$0$0$No---------------------------Lien
Jayden StrubleBears (WAS)D232001-09-08USANo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------
Jesse PuljujarviBears (WAS)RW271998-05-07SWENo200 Lbs6 ft4NoYesN/ANoNo1FalseFalsePro & Farm1,247,000$0$0$No---------------------------Lien
Jordan SpenceBears (WAS)D242001-02-24ATLNo174 Lbs5 ft10NoNoN/ANoNo32025-04-30FalseFalsePro & Farm818,619$0$0$No769,000$769,000$-------769,000$769,000$-------NoNo-------Lien
Karson KuhlmanBears (WAS)RW291995-09-26USANo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Kasperi KapanenBears (WAS)RW281996-07-23FINNo194 Lbs6 ft1NoYesN/ANoNo1FalseFalsePro & Farm1,417,000$0$0$No---------------------------Lien / Lien NHL
Louis DomingueBears (WAS)G331992-03-06QUENo207 Lbs6 ft3NoNoAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Lukas ReichelBears (WAS)C/LW232002-05-17GERNo169 Lbs6 ft0NoNoN/ANoNo42025-04-30FalseFalsePro & Farm830,460$0$0$No998,000$998,000$998,000$------998,000$998,000$998,000$------NoNoNo------Lien
Luke EvangelistaBears (WAS)RW232002-02-21ONTNo165 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm896,667$0$0$No896,667$--------896,667$--------No--------Lien
Maksymilian SzuberBears (WAS)D222002-08-25POLYes190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Matthew CoronatoBears (WAS)RW222002-11-14USAYes183 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Max McCormickBears (WAS)LW331992-05-01USANo187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nils LundkvistBears (WAS)D242000-07-27SWENo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm924,759$0$0$No---------------------------Lien
Oscar DanskBears (WAS)G311994-02-28SWENo204 Lbs6 ft3NoYesN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Oskar SundqvistBears (WAS)C/RW311994-03-23SWENo209 Lbs6 ft3NoNoAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Raphael LavoieBears (WAS)C/RW242000-09-25QUENo196 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,342,000$0$0$No1,342,000$1,342,000$-------1,342,000$1,342,000$-------NoNo-------Lien
Robert BortuzzoBears (WAS)D361989-03-18ONTNo216 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien / Lien NHL
Ryan O'RourkeBears (WAS)D232002-05-16ONTYes178 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Lien
Tobias BjornfotBears (WAS)D242001-04-06SWENo202 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,165,000$0$0$No1,165,000$--------1,165,000$--------No--------Lien
Travis HamonicBears (WAS)D341990-08-16MBNo205 Lbs6 ft2NoYesAssign ManuallyNoNo32024-09-05FalseFalsePro & Farm1,100,000$0$0$No1,100,000$1,100,000$-------1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3326.94194 Lbs6 ft12.21998,498$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole PerfettiJack McBainKasperi Kapanen34005
2Evgeni DadonovAliaksei ProtasOskar Sundqvist33005
3Brett MurrayLukas ReichelLuke Evangelista33005
4Evgeni DadonovJack McBainGrigori Denisenko0005
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromTravis Hamonic40113
2Robert BortuzzoJordan Spence40014
3Nils LundkvistJayden Struble20113
4Erik BrannstromTravis Hamonic0014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack McBainCole PerfettiKasperi Kapanen60014
2Evgeni DadonovAliaksei ProtasOskar Sundqvist40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik BrannstromLuke Evangelista60014
2Travis HamonicJayden Struble40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainKasperi Kapanen60131
2Aliaksei ProtasEvgeni Dadonov40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SpenceTravis Hamonic60131
2Erik BrannstromJayden Struble40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain60032Jayden StrubleTravis Hamonic60032
2Aliaksei Protas40131Erik BrannstromJordan Spence40032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainKasperi Kapanen60023
2Aliaksei ProtasEvgeni Dadonov40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jayden StrubleTravis Hamonic60122
2Erik BrannstromJordan Spence40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni DadonovJack McBainKasperi KapanenErik BrannstromTravis Hamonic
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni DadonovJack McBainKasperi KapanenErik BrannstromTravis Hamonic
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeni Dadonov, Kasperi Kapanen, Aliaksei ProtasEvgeni Dadonov, Kasperi KapanenEvgeni Dadonov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Brannstrom, Jayden Struble, Jordan SpenceErik BrannstromErik Brannstrom, Jayden Struble
Tirs de pénalité
Aliaksei Protas, Kasperi Kapanen, Jack McBain, Erik Brannstrom, Evgeni Dadonov
Gardien
#1 : Darcy Kuemper, #2 : Henrik Tikkanen


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
1Americans642000002011933000000177103120000034-180.66720335300813601489487686123343615517317.65%12466.67%08017246.51%6912754.33%6713350.38%213102161101232113
2Heat40400000716-92020000016-520200000610-400.00071118008136010794876868230141001100.00%7442.86%08017246.51%6912754.33%6713350.38%213102161101232113
Total10460000027270532000001813551400000914-580.40027447100813602559487686205645025528310.71%19857.89%08017246.51%6912754.33%6713350.38%213102161101232113
_Since Last GM Reset10460000027270532000001813551400000914-580.40027447100813602559487686205645025528310.71%19857.89%08017246.51%6912754.33%6713350.38%213102161101232113
_Vs Conference10460000027270532000001813551400000914-580.40027447100813602559487686205645025528310.71%19857.89%08017246.51%6912754.33%6713350.38%213102161101232113
_Vs Division600000002011930000000177103000000034-100.00020335300813601489487686123343615517317.65%12466.67%08017246.51%6912754.33%6713350.38%213102161101232113

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L4274471255205645025500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600002727
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200001813
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5140000914
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28310.71%19857.89%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
948768681360
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
8017246.51%6912754.33%6713350.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
213102161101232113


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
25Bears0Americans1LXSommaire du match
413Bears0Americans1LXSommaire du match
621Americans1Bears4WSommaire du match
829Americans2Bears5WSommaire du match
1037Bears3Americans2WSommaire du match
1245Americans4Bears8WSommaire du match
1659Bears2Heat4LSommaire du match
1863Bears4Heat6LSommaire du match
2067Heat3Bears1LSommaire du match
2271Heat3Bears0LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2015
Assistance10,0004,835
Assistance PCT100.00%96.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2967 - 98.90% 81,212$406,062$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,295,043$ 3,186,681$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Bears Leaders statistiques des joueurs (saison régulière)

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

Bears Leaders des statistiques des gardiens (saison régulière)

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

Bears Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bears Leaders statistiques des joueurs (séries éliminatoires)

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

Bears Leaders des statistiques des gardiens (séries éliminatoires)

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