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Bears
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 5 | GA: 4 | PP%: 33.33% | PK%: 75.00%
DG: Guenter | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #32 vs Admirals

Centre de jeu
Gulls
0-1-0, 0pts
4
FINAL
5 Bears
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
4.00Buts par match 5.00
5.00Buts contre par match 4.00
25.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique75.00%
Admirals
0-1-0, 0pts
Jour 4
Bears
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
4.00Buts par match 5.00
5.00Buts contre par match 5.00
25.00%Pourcentage en avantage numérique33.33%
62.50%Pourcentage en désavantage numérique75.00%
Bears
1-0-0, 2pts
Jour 7
Rams
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-1-0
5.00Buts par match 3.00
4.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique20.00%
75.00%Pourcentage en désavantage numérique100.00%
Titans
1-0-0, 2pts
Jour 9
Bears
1-0-0, 2pts
Statistiques d’équipe
W1SéquenceW1
0-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs1-0-0
5.00Buts par match 5.00
4.00Buts contre par match 5.00
37.50%Pourcentage en avantage numérique33.33%
75.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Benoit-Olivier Groulx
1
Passes
Benoit-Olivier Groulx
2
Points
Benoit-Olivier Groulx
3
Plus/Moins
Luca Del Bel Belluz
1
Victoires
Kristoffer Eberly
1
Pourcentage d’arrêts
Kristoffer Eberly
0.905

Statistiques d’équipe
Buts pour
5
5.00 GFG
Tirs pour
40
40.00 Avg
Pourcentage en avantage numérique
33.3%
2 GF
Début de zone offensive
38.9%
Buts contre
4
4.00 GAA
Tirs contre
42
42.00 Avg
Pourcentage en désavantage numérique
75.0%%
1 GA
Début de la zone défensive
31.9%
Informations de l'équipe

Directeur généralGuenter
EntraîneurSteve Ott
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,500
Assistance8,455
Billets de saison850


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 65
Espoirs18


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
1Tyson GrossX100.0060606060607070606060606060546309900232650,000$
2Anton FrondellXXX100.00606060606070706060606060604860099001831,850,000$
3Benoit-Olivier GroulxX100.00715090727782936878686973655763099002511,447,031$
4Raphael LavoieX100.00625093738275846664666767655965099002511,447,031$
5Jacob MelansonXX100.0095568766787689696165668065516009900221866,250$
6Ryan TverbergXXX100.0064509069717690636163626965435809900231800,000$
7Danil ZhilkinX100.00605092667375916464646471654358099002221,312,500$
8Owen BeckX100.00645091697576936880686769654358099002121,575,000$
9Luca Del Bel BelluzXXX100.00605095737176926964716867654358099002221,312,500$
10Stephen HallidayX100.0070509580817587746470696765485709900231825,000$
11Brayden YagerXX100.00605094676877926371646273655257099002021,500,000$
12Connor ClattenburgX100.0073724560817581626162627365485709900202700,000$
13Yegor ZamulaX100.00625094677680806825656570655664099002511,400,000$
14Jordan OesterleX100.00625091736981926425656272656670099003311,170,000$
15Nick JensenX100.0066509282768488762570697265697408600351950,000$
16Ryan McClearyX100.0060606060607070606060606060476009900221800,000$
17Marshall RifaiX100.0060508064807676612563606865425709900271650,000$
18Adam EngstromX100.0060509173748089692571686865485709900221825,000$
Rayé
1Jiri FelcmanX100.00606060606070706060606060605061098002031,000,000$
2Jon-Randall AvonX100.0060606060607070606060606060476009800221826,875$
3Jackson HallumXXX100.0060606060607070606060606060476009800231866,250$
4Miko MatikkaXX100.0060606060607070606060606060505909800221975,000$
5Nico MyatovicXX100.00606060606070706060606060605659098002121,250,000$
6Andrej SustrX100.0060606060607070606060606060727609500351910,000$
7Anton JohanssonX100.0060606060607070606060606060525909800212825,000$
8Terrell GoldsmithX100.0060606060607070606060606060565909800202825,000$
9Luca MarrelliX100.0060606060607070606060606060545909800202975,000$
MOYENNE D’ÉQUIPE100.006355766669748064566463666352610980
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
1Kristoffer Eberly97.006070706060606060606060556409900232670,000$
2Carter Gylander100.006070706060606060606060506209900241880,000$
Rayé
1Vinny Duplessis100.006070706060606060606060506209801261682,500$
MOYENNE D’ÉQUIPE99.00607070606060606060606052630990
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott65656565691CAN441600,000$


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
1Benoit-Olivier GroulxBears (WSH)C11230751142325.00%21717.2202214000021075.00%1600003.4800100000
2Ryan TverbergBears (WSH)C/LW/RW11120001331133.33%01616.780001400000000%110002.3800000001
3Luca Del Bel BelluzBears (WSH)C/LW/RW11121000021350.00%01515.971122400000000%110002.5100000010
4Jacob MelansonBears (WSH)LW/RW1011-120230120%11717.60000040000000100.00%120001.1400000000
5Owen BeckBears (WSH)C1011-100146140%21717.8800024000010065.22%2301001.1200000000
6Marshall RifaiBears (WSH)D1011100110100%02424.130000400002000%002000.8300000000
7Adam EngstromBears (WSH)D11011000160016.67%12323.280000400002000%001000.8600000000
8Brayden YagerBears (WSH)C/RW11011006020050.00%12020.3510114000030033.33%300000.9800000100
9Tyson GrossBears (WSH)RW1000020101020%11212.070000000000000%10000000000000
10Anton FrondellBears (WSH)C/LW/RW1000055000100%188.970000000000000%00000000001000
11Yegor ZamulaBears (WSH)D1000-100112100%12323.330001300003000%00000000000000
12Jordan OesterleBears (WSH)D1000-155452100%22020.480001300003000%00000000100000
13Raphael LavoieBears (WSH)C1000000005310%11111.9700000000000071.43%142000000000000
14Nick JensenBears (WSH)D1000000000020%01414.920000000000000%00100000000000
15Ryan McClearyBears (WSH)D1000000010010%21313.830000000000000%00000000000000
16Danil ZhilkinBears (WSH)C1000000140000%01111.8500000000020027.27%110100000000000
17Stephen HallidayBears (WSH)C1000000004100%088.730000000000000%00000000000000
18Connor ClattenburgBears (WSH)LW1000075003050%11414.180000000002000%10000000100000
Statistiques d’équipe totales ou en moyenne18571202820192440142412.50%1629316.312359430000251058.33%7266000.8200301111
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
1Kristoffer EberlyBears (WSH)11000.9054.00600044225000010000
Statistiques d’équipe totales ou en moyenne11000.9054.0060004422500010000


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
Adam EngstromBears (WSH)D222003-11-17SWENo193 Lbs6 ft2NoNoProspectNoNo12025-08-31FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Andrej Sustr (contrat à 1 volet)Bears (WSH)D351990-11-29CZENo217 Lbs6 ft7NoNoAssign ManuallyNoNo12026-09-28FalseFalsePro & Farm910,000$900,215$910,000$900,215$No---------------------------
Anton FrondellBears (WSH)C/LW/RW182007-05-07SWENo201 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-19FalseFalsePro & Farm1,850,000$1,828,736$185,000$182,874$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------
Anton JohanssonBears (WSH)D212004-06-10SWENo196 Lbs6 ft2NoNoProspectNoNo22025-08-31FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Benoit-Olivier GroulxBears (WSH)C252000-02-06CANNo202 Lbs6 ft2NoNoN/ANoNo12026-08-03FalseFalsePro & Farm1,447,031$1,430,398$144,703$143,040$No---------------------------
Brayden YagerBears (WSH)C/RW202005-01-03CANNo180 Lbs5 ft11NoNoProspectNoNo22025-08-31FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$--------1,500,000$--------No--------
Carter GylanderBears (WSH)G242001-06-05CANNo195 Lbs6 ft5NoNoAssign ManuallyNoNo12025-11-06FalseFalsePro & Farm880,000$869,885$88,000$86,989$No---------------------------
Connor ClattenburgBears (WSH)LW202005-05-02CANNo215 Lbs6 ft2NoNoDraftNoNo22025-08-31FalseFalsePro & Farm700,000$691,954$70,000$69,195$No700,000$--------700,000$--------No--------
Danil ZhilkinBears (WSH)C222003-12-19CANNo192 Lbs6 ft1NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No1,312,500$--------1,312,500$--------No--------
Jackson HallumBears (WSH)C/LW/RW232002-09-08USANo170 Lbs6 ft0NoNoN/ANoNo12026-08-03FalseFalsePro & Farm866,250$856,293$86,625$85,629$No---------------------------
Jacob MelansonBears (WSH)LW/RW222003-04-22CANNo207 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm866,250$856,293$86,625$85,629$No---------------------------
Jiri FelcmanBears (WSH)C202005-04-17CZENo198 Lbs6 ft2NoNoAssign ManuallyNoNo32026-07-19FalseFalsePro & Farm1,000,000$988,506$100,000$98,851$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Jon-Randall AvonBears (WSH)C222003-07-04CANNo174 Lbs6 ft0NoNoN/ANoNo12026-08-03FalseFalsePro & Farm826,875$817,371$82,688$81,738$No---------------------------
Jordan OesterleBears (WSH)D331992-06-25USANo181 Lbs6 ft0NoNoAssign ManuallyNoNo12025-10-28FalseFalsePro & Farm1,170,000$1,156,552$117,000$115,655$No---------------------------
Kristoffer EberlyBears (WSH)G232002-02-10USANo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm670,000$662,299$67,000$66,230$No670,000$--------670,000$--------No--------
Luca Del Bel BelluzBears (WSH)C/LW/RW222003-11-10CANNo185 Lbs6 ft1NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No1,312,500$--------1,312,500$--------No--------
Luca MarrelliBears (WSH)D202005-10-04CANNo185 Lbs6 ft0NoNoDraftNoNo22025-08-31FalseFalsePro & Farm975,000$963,793$97,500$96,379$No975,000$--------975,000$--------No--------
Marshall RifaiBears (WSH)D271998-03-16CANNo211 Lbs6 ft2NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Miko MatikkaBears (WSH)LW/RW222003-10-26FINNo201 Lbs6 ft1NoNoProspectNoNo12025-08-31FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Nick JensenBears (WSH)D351990-09-21USANo202 Lbs6 ft0NoNoWaiverNoNo12026-09-24FalseFalsePro & Farm950,000$939,080$95,000$93,908$No---------------------------
Nico MyatovicBears (WSH)C/LW212004-12-01CANNo196 Lbs6 ft0NoNoProspectNoNo22025-08-31FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Owen BeckBears (WSH)C212004-02-03CANNo199 Lbs6 ft0NoNoN/ANoNo22026-08-03FalseFalsePro & Farm1,575,000$1,556,897$157,500$155,690$No1,575,000$--------1,575,000$--------No--------
Raphael LavoieBears (WSH)C252000-09-25CANNo217 Lbs6 ft4NoNoN/ANoNo12026-08-03FalseFalsePro & Farm1,447,031$1,430,398$144,703$143,040$No---------------------------
Ryan McClearyBears (WSH)D222003-09-09CANNo181 Lbs6 ft2NoNoN/ANoNo12026-08-03FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Ryan TverbergBears (WSH)C/LW/RW232002-01-30CANNo187 Lbs5 ft11NoNoN/ANoNo12026-08-03FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Stephen HallidayBears (WSH)C232002-07-02CANNo214 Lbs6 ft4NoNoProspectNoNo12025-08-31FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Terrell GoldsmithBears (WSH)D202005-05-13CANNo218 Lbs6 ft2NoNoProspectNoNo22025-08-31FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Tyson GrossBears (WSH)RW232002-09-23CANNo194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Vinny DuplessisBears (WSH)G261999-03-19CANNo170 Lbs6 ft1NoNoTrade2025-11-01NoNo12025-09-08FalseFalsePro & Farm682,500$674,655$68,250$67,466$No---------------------------
Yegor ZamulaBears (WSH)D252000-03-30RUSNo200 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,400,000$1,383,908$140,000$138,391$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3023.50196 Lbs6 ft11.501,025,531$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Luca Del Bel BelluzBenoit-Olivier GroulxBrayden Yager28122
2Ryan TverbergOwen BeckJacob Melanson28122
3Connor ClattenburgRaphael LavoieTyson Gross25122
4Anton FrondellDanil ZhilkinStephen Halliday19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleYegor Zamula35122
2Adam EngstromMarshall Rifai35122
3Nick JensenRyan McCleary30122
4Jordan OesterleMarshall Rifai0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Luca Del Bel BelluzBenoit-Olivier GroulxBrayden Yager50122
2Ryan TverbergOwen BeckJacob Melanson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleYegor Zamula50122
2Marshall RifaiAdam Engstrom50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxBrayden Yager50122
2Danil ZhilkinConnor Clattenburg50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleYegor Zamula50122
2Adam EngstromMarshall Rifai50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Benoit-Olivier Groulx50122Jordan OesterleYegor Zamula50122
2Brayden Yager50122Adam EngstromMarshall Rifai50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Benoit-Olivier GroulxLuca Del Bel Belluz50122
2Owen BeckBrayden Yager50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleYegor Zamula50122
2Adam EngstromMarshall Rifai50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden YagerBenoit-Olivier GroulxLuca Del Bel BelluzRyan McClearyMarshall Rifai
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob MelansonBenoit-Olivier GroulxRyan TverbergRyan McClearyMarshall Rifai
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Clattenburg, Brayden Yager, Tyson GrossConnor Clattenburg, Brayden YagerOwen Beck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Jensen, Jordan Oesterle, Yegor ZamulaNick JensenNick Jensen, Ryan McCleary
Tirs de pénalité
Benoit-Olivier Groulx, Owen Beck, Luca Del Bel Belluz, Brayden Yager, Danil Zhilkin
Gardien
#1 : Kristoffer Eberly, #2 : Carter Gylander


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
1Gulls11000000541110000005410000000000021.000571200311040179140421628196233.33%4175.00%0192867.86%122352.17%112152.38%2112219178
Total11000000541110000005410000000000021.000571200311040179140421628196233.33%4175.00%0192867.86%122352.17%112152.38%2112219178
_Since Last GM Reset11000000541110000005410000000000021.000571200311040179140421628196233.33%4175.00%0192867.86%122352.17%112152.38%2112219178
_Vs Conference11000000541110000005410000000000021.000571200311040179140421628196233.33%4175.00%0192867.86%122352.17%112152.38%2112219178

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W15712404216281900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000054
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000054
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6233.33%4175.00%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
1791403110
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
192867.86%122352.17%112152.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2112219178


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
212Gulls4Bears5WSommaire du match
432Admirals-Bears-
751Bears-Rams-
969Titans-Bears-
1187Bears-Admirals-
13100Blossom Bytes-Bears-
15115Bears-Norsemen-
16130Bears-Bills-
18144Pens-Bears-
20156Bears-Pens-
23176Blossom Bytes-Bears-
24182Bears-Wolf Pack-
28204Bears-Phantoms-
29215Rams-Bears-
32233Wolves-Bears-
35261Reign-Bears-
37273Bears-Titans-
39291Sens-Bears-
41307Bears-Wolves-
43323Bears-Admirals-
45332Griffins-Bears-
48356Bears-Redhawks-
50367Eagles-Bears-
52385Bears-Octopus-
54395Blossom Bytes-Bears-
56413Bears-Americans-
58425Gulls-Bears-
60444Bears-Bills-
62452Bears-Norsemen-
63467Gulls-Bears-
65480Bears-Grisards-
68501Saints-Bears-
70514Bears-Pens-
72530Phantoms-Bears-
75555Wolves-Bears-
78576Bears-Blossom Bytes-
79587Moose-Bears-
82612Bears-Sens-
84618Pens-Bears-
86636Bears-Blossom Bytes-
89650Blood Miners-Bears-
90666Bears-Titans-
92683Rams-Bears-
95703Bears-Rocket-
97715Blood Miners-Bears-
101742Moose-Bears-
102756Bears-White Wolves-
105774Gorillas-Bears-
107791Bears-Crunch-
108801Bears-Sens-
110815Silver Knights-Bears-
113836Grisards-Bears-
116859Bears-Whalers-
118872Whalers-Bears-
120888Bears-Pens-
122902Bears-Bulldogs-
124909Whalers-Bears-
127935Titans-Bears-
128945Bears-Grisards-
130954Bears-Phantoms-
132973Titans-Bears-
135998Norsemen-Bears-
1361006Bears-Mountaineers-
1391028Roadrunners-Bears-
1411043Bears-Moose-
1441064Americans-Bears-
1451074Bears-Moose-
1481094Bears-Wolf Pack-
1491101Admirals-Bears-
1531123Bears-Wolf Pack-
1541134Americans-Bears-
1581159Admirals-Bears-
1591167Bears-Rams-
1621180Bears-Gulls-
1651198Wolf Pack-Bears-
1661202Bears-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691224Bears-Rams-
1731246Wolf Pack-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance3,4555,000
Assistance PCT98.71%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 8455 - 99.47% 235,110$235,110$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
41,214$ 2,985,593$ 2,985,593$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,607$ 41,214$ 29 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 172 20,607$ 3,544,404$




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