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White Wolves
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 3 | GA: 4 | PP%: 33.33% | PK%: 0.00%
DG: Felix | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #35 vs Octopus

Centre de jeu
Gorillas
1-0-0, 2pts
4
FINAL
3 White Wolves
0-1-0, 0pts
Team Stats
W1SéquenceL1
0-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-0-0
1-0-0Derniers 10 matchs0-1-0
4.00Buts par match 3.00
3.00Buts contre par match 4.00
100.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique0.00%
Octopus
0-0-0, 0pts
Jour 5
White Wolves
0-1-0, 0pts
Statistiques d’équipe
N/ASéquenceL1
0-0-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-1-0
0Buts par match 3.00
0Buts contre par match 3.00
0%Pourcentage en avantage numérique33.33%
0%Pourcentage en désavantage numérique0.00%
White Wolves
0-1-0, 0pts
Jour 6
Blood Miners
0-1-0, 0pts
Statistiques d’équipe
L1SéquenceL1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
0-1-010 derniers matchs0-1-0
3.00Buts par match 4.00
4.00Buts contre par match 4.00
33.33%Pourcentage en avantage numérique22.22%
0.00%Pourcentage en désavantage numérique60.00%
Griffins
1-0-0, 2pts
Jour 9
White Wolves
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
0-0-0Fiche domicile0-1-0
1-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-1-0
6.00Buts par match 3.00
5.00Buts contre par match 3.00
50.00%Pourcentage en avantage numérique33.33%
50.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe
Buts
Angus Crookshank
1
Passes
Adam Sykora
2
Points
Angus Crookshank
2
Plus/Moins
Evan Vierling
1

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
39
39.00 Avg
Pourcentage en avantage numérique
33.3%
2 GF
Début de zone offensive
43.1%
Buts contre
4
4.00 GAA
Tirs contre
34
34.00 Avg
Pourcentage en désavantage numérique
0.0%%
1 GA
Début de la zone défensive
31.0%
Informations de l'équipe

Directeur généralFelix
EntraîneurBob Boughner
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,500
Assistance8,500
Billets de saison850


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 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
1Dylan HryckowianX100.0060606060607070606060606060506109800212800,000$
2Cole SpicerXXX100.00606060606070706060606060605262095002131,000,000$
3Tyson DyckX100.0060606060607070606060606060546309800212850,000$
4Ethan CzataXXX100.00606060606070706060606060605262098001831,550,000$
5Angus CrookshankXX100.00605093706975916561646668655462098002621,618,219$
6Evan VierlingX100.0060606060607070606060606060465909800231866,250$
7Zach DeanX100.00606060606070706060606060604659098002221,575,000$
8Francesco PinelliXXX100.00606060606070706060606060604659098002221,312,500$
9Adam SykoraXXX100.00656091677378936562666571654257098002121,312,500$
10Luca PinelliXXX100.0060508670668092646166636765425709801201825,000$
11Ethan MiedemaXX100.0060606060607070606060606060545909800202825,000$
12Adam JechoXX100.0060606060607070606060606060505909800192975,000$
13Domenick FensoreX100.0062508973668689632565627365425709800241866,250$
14Michael BuchingerX100.00606060606070706060606060604659098002121,023,750$
15Oliver BonkX100.00665091706983856225636273654257098012011,500,000$
16Etienne MorinX100.00606060606070706060606060604659098012011,250,000$
17Ryan ChesleyX100.00606060606070706060606060605259098002121,250,000$
18Carter SotheranX100.0060606060607070606060606060525909800202825,000$
Rayé
1William NichollXXX100.0060606060607070606060606060526209800193850,000$
2Jaxon FuderXXX100.0060606060607070606060606060506109800193800,000$
3Aaron HuglenXXX100.00606060606070706060606060604659098012411,023,750$
4Kalle VaisanenXX100.0060606060607070606060606060465909801221975,000$
5Mathieu CatafordXX100.0060606060607070606060606060465909801201975,000$
6Justin JanickeXX100.0060606060607070606060606060545909800221650,000$
7Emil JarventieX100.0060606060607070606060606060505909800202700,000$
8Owen AllardXX100.0060606060607070606060606060545909800212750,000$
9Ryan HealeyX100.00606060606070706060606060605463098002121,200,000$
10Oscar PlandowskiX100.0060606060607070606060606060465909800222800,000$
11Tyson GallowayX100.0060606060607070606060606060465909801221825,000$
12Jake FurlongX100.0060606060607070606060606060465909801211750,000$
13Hank KempfX100.0060606060607070606060606060545909800231650,000$
MOYENNE D’ÉQUIPE100.006059656261727361586161626149600980
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
1Matt Villalta100.0060707060606060606060606673098002611,647,160$
2Joel Blomqvist100.0060707060606060606060604961098002321,312,500$
Rayé
1Adam Scheel100.006070706060606060606060627009800261682,500$
2Nolan Lalonde100.006070706060606060606060496109800212800,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606057660980
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner6976708469731CAN553600,000$


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
1Angus CrookshankWhite Wolves (CHI)LW/RW1112-1001040025.00%01818.52112130000000100.00%300002.1600000000
2Adam SykoraWhite Wolves (CHI)C/LW/RW1022-100226000%01919.5702204000000047.37%1920002.0400000000
3Luca PinelliWhite Wolves (CHI)C/LW/RW1112-1002241225.00%01919.231121400000000%000002.0800000000
4Domenick FensoreWhite Wolves (CHI)D1011100121110%12424.300000300000000%010000.8200000000
5Evan VierlingWhite Wolves (CHI)C11011001020050.00%01010.220000000000000%000001.9600000000
6Michael BuchingerWhite Wolves (CHI)D1011020211010%11818.430000000000000%011001.0800000000
7Dylan HryckowianWhite Wolves (CHI)RW1000000000000%011.050000000000000%00000000000000
8Cole SpicerWhite Wolves (CHI)C/LW/RW1000-155107110%11616.4300003000000050.00%160000000010000
9Tyson DyckWhite Wolves (CHI)C1000-200212000%11717.620001300000000%10000000000000
10Ethan CzataWhite Wolves (CHI)C/LW/RW1000000333200%01717.0700004000000077.78%90000000000000
11Zach DeanWhite Wolves (CHI)C1000000510200%01212.870000000000000%02000000000000
12Francesco PinelliWhite Wolves (CHI)C/LW/RW1000000103040%21313.18000000000000100.00%11000000000000
13Oliver BonkWhite Wolves (CHI)D1000-155020010%21919.570000400000000%01100000100000
14Etienne MorinWhite Wolves (CHI)D1000-100020110%02020.950000400000000%01100000000000
15Ryan ChesleyWhite Wolves (CHI)D1000-200111000%02020.670000300000000%00000000000000
16Carter SotheranWhite Wolves (CHI)D1000-100101100%01616.050000000000000%00000000000000
17Ethan MiedemaWhite Wolves (CHI)LW/RW1000000323000%01313.5300000000000066.67%31000000000000
18Adam JechoWhite Wolves (CHI)C/RW1000-100231120%12020.4800000000000066.67%60100000000000
Statistiques d’équipe totales ou en moyenne18369-10121028223910137.69%929916.65246340000000058.62%58104000.6000110000
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
1Matt VillaltaWhite Wolves (CHI)10100.8824.07590043419000010000
Statistiques d’équipe totales ou en moyenne10100.8824.0759004341900010000


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 HuglenWhite Wolves (CHI)C/LW/RW242001-03-06USANo170 Lbs6 ft0NoNoN/ANoNo12026-08-08FalseFalsePro & Farm1,023,750$1,011,983$102,375$101,198$No---------------------------
Adam JechoWhite Wolves (CHI)C/RW192006-03-24CZENo201 Lbs6 ft3NoNoDraftNoNo22025-08-21FalseFalsePro & Farm975,000$963,793$97,500$96,379$No975,000$--------975,000$--------No--------
Adam ScheelWhite Wolves (CHI)G261999-05-01USANo192 Lbs6 ft3NoNoFree AgentNoNo12025-09-13FalseFalsePro & Farm682,500$674,655$68,250$67,466$No---------------------------
Adam SykoraWhite Wolves (CHI)C/LW/RW212004-09-07SVKNo193 Lbs5 ft11NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No1,312,500$--------1,312,500$--------No--------
Angus CrookshankWhite Wolves (CHI)LW/RW261999-10-02CANNo183 Lbs5 ft10NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,618,219$1,599,619$161,822$159,962$No1,618,219$--------1,618,219$--------No--------
Carter SotheranWhite Wolves (CHI)D202005-06-26CANNo198 Lbs6 ft2NoNoProspectNoNo22025-08-21FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Cole SpicerWhite Wolves (CHI)C/LW/RW212004-06-13USANo185 Lbs5 ft9NoNoAssign 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-------
Domenick FensoreWhite Wolves (CHI)D242001-09-07USANo175 Lbs5 ft9NoNoN/ANoNo12025-09-13FalseFalsePro & Farm866,250$856,293$86,625$85,629$No---------------------------
Dylan HryckowianWhite Wolves (CHI)RW212004-05-19CANNo170 Lbs5 ft8NoNoAssign ManuallyNoNo22026-08-08FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Emil JarventieWhite Wolves (CHI)LW202005-04-04FINNo168 Lbs5 ft8NoNoProspectNoNo22025-08-21FalseFalsePro & Farm700,000$691,954$70,000$69,195$No700,000$--------700,000$--------No--------
Ethan CzataWhite Wolves (CHI)C/LW/RW182007-05-29CANNo179 Lbs6 ft0NoNoAssign ManuallyNoNo32026-07-19FalseFalsePro & Farm1,550,000$1,532,184$155,000$153,218$No1,550,000$1,550,000$-------1,550,000$1,550,000$-------NoNo-------
Ethan MiedemaWhite Wolves (CHI)LW/RW202005-03-22CANNo212 Lbs6 ft2NoNoProspectNoNo22025-08-21FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Etienne MorinWhite Wolves (CHI)D202005-03-09CANNo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No---------------------------
Evan VierlingWhite Wolves (CHI)C232002-06-20CANNo183 Lbs6 ft4NoNoN/ANoNo12026-08-08FalseFalsePro & Farm866,250$856,293$86,625$85,629$No---------------------------
Francesco PinelliWhite Wolves (CHI)C/LW/RW222003-04-11CANNo185 Lbs7 ft0NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No1,312,500$--------1,312,500$--------No--------
Hank KempfWhite Wolves (CHI)D232002-04-15USANo201 Lbs6 ft0NoNoProspectNoNo12025-08-21FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Jake FurlongWhite Wolves (CHI)D212004-03-04CANNo201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Jaxon FuderWhite Wolves (CHI)C/LW/RW192006-04-02CANNo176 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-19FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Joel BlomqvistWhite Wolves (CHI)G232002-01-10FINNo200 Lbs6 ft3NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,312,500$1,297,414$131,250$129,741$No1,312,500$--------1,312,500$--------No--------
Justin JanickeWhite Wolves (CHI)C/LW222003-06-30USANo187 Lbs5 ft10NoNoProspectNoNo12025-08-21FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Kalle VaisanenWhite Wolves (CHI)LW/RW222003-01-28FINNo194 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Luca PinelliWhite Wolves (CHI)C/LW/RW202005-04-05CANNo176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Mathieu CatafordWhite Wolves (CHI)LW/RW202005-03-01CANNo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Matt VillaltaWhite Wolves (CHI)G261999-06-03CANNo165 Lbs6 ft3NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,647,160$1,628,227$164,716$162,823$No---------------------------
Michael BuchingerWhite Wolves (CHI)D212004-04-25CANNo183 Lbs7 ft0NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,023,750$1,011,983$102,375$101,198$No1,023,750$--------1,023,750$--------No--------
Nolan LalondeWhite Wolves (CHI)G212004-02-14CANNo185 Lbs7 ft1NoNoN/ANoNo22026-08-08FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Oliver BonkWhite Wolves (CHI)D202005-01-09CANNo180 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No---------------------------
Oscar PlandowskiWhite Wolves (CHI)D222003-05-18CANNo183 Lbs7 ft2NoNoN/ANoNo22026-08-08FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Owen AllardWhite Wolves (CHI)C/LW212004-01-13CANNo187 Lbs6 ft0NoNoDraftNoNo22025-08-21FalseFalsePro & Farm750,000$741,379$75,000$74,138$No750,000$--------750,000$--------No--------
Ryan ChesleyWhite Wolves (CHI)D212004-02-27USANo194 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Ryan HealeyWhite Wolves (CHI)D212004-05-19USANo183 Lbs5 ft10NoNoAssign ManuallyNoNo22026-07-19FalseFalsePro & Farm1,200,000$1,186,207$120,000$118,621$No1,200,000$--------1,200,000$--------No--------
Tyson DyckWhite Wolves (CHI)C212004-02-06CANNo170 Lbs5 ft10NoNoAssign ManuallyNoNo22026-07-19FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$--------850,000$--------No--------
Tyson GallowayWhite Wolves (CHI)D222003-01-20CANNo201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
William NichollWhite Wolves (CHI)C/LW/RW192006-05-24CANNo183 Lbs5 ft10NoNoAssign ManuallyNoNo32026-07-19FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Zach DeanWhite Wolves (CHI)C222003-01-04CANNo176 Lbs6 ft0NoNoN/ANoNo22026-08-08FalseFalsePro & Farm1,575,000$1,556,897$157,500$155,690$No1,575,000$--------1,575,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3521.49186 Lbs6 ft11.711,017,582$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
128122
2Adam Jecho28122
325122
4Ethan Miedema19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick Fensore34122
2Oliver BonkRyan Chesley33122
3Carter Sotheran33122
40122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick Fensore50122
2Oliver Bonk50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick Fensore50122
2Oliver Bonk50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Domenick Fensore50122
250122Oliver Bonk50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Oliver BonkDomenick Fensore50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Domenick Fensore
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Domenick Fensore
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Bonk, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : Matt Villalta, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Gorillas1010000034-11010000034-10000000000000.00036900111039141312034912286233.33%110.00%0142556.00%141877.78%61540.00%21101891910
Total1010000034-11010000034-10000000000000.00036900111039141312034912286233.33%110.00%0142556.00%141877.78%61540.00%21101891910
_Since Last GM Reset1010000034-11010000034-10000000000000.00036900111039141312034912286233.33%110.00%0142556.00%141877.78%61540.00%21101891910
_Vs Conference1010000034-11010000034-10000000000000.00036900111039141312034912286233.33%110.00%0142556.00%141877.78%61540.00%21101891910

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L136939349122800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
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%110.00%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
14131201110
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
142556.00%141877.78%61540.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
21101891910


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
17Gorillas4White Wolves3LSommaire du match
535Octopus-White Wolves-
648White Wolves-Blood Miners-
968Griffins-White Wolves-
1295White Wolves-Crunch-
13101Reign-White Wolves-
16129Roadrunners-White Wolves-
17136White Wolves-Blossom Bytes-
20152White Wolves-Roadrunners-
21166Bulldogs-White Wolves-
22173White Wolves-Bills-
26194Bulldogs-White Wolves-
29217White Wolves-Gorillas-
31229Blood Miners-White Wolves-
35255White Wolves-Silver Knights-
36265Redhawks-White Wolves-
39288Americans-White Wolves-
41305White Wolves-Whalers-
43318White Wolves-Rams-
44327Bills-White Wolves-
47346White Wolves-Blood Miners-
48359Bulldogs-White Wolves-
51380White Wolves-Bulldogs-
53390White Wolves-Wolf Pack-
55399Whalers-White Wolves-
57421White Wolves-Mountaineers-
58429Rocket-White Wolves-
62453White Wolves-Phantoms-
63464Silver Knights-White Wolves-
66487Eagles-White Wolves-
68503White Wolves-Reign-
70518Roadrunners-White Wolves-
72533White Wolves-Saints-
74545White Wolves-Sens-
75557Crunch-White Wolves-
78577White Wolves-Norsemen-
79588Crunch-White Wolves-
82605White Wolves-Pens-
84620Rocket-White Wolves-
86633White Wolves-Blood Miners-
88647White Wolves-Gorillas-
89658Griffins-White Wolves-
92681White Wolves-Mountaineers-
94691White Wolves-Bulldogs-
95701Wolves-White Wolves-
98721Admirals-White Wolves-
101746White Wolves-Roadrunners-
102756Bears-White Wolves-
105778White Wolves-Octopus-
106786Reign-White Wolves-
108804White Wolves-Grisards-
111817White Wolves-Eagles-
112828Gulls-White Wolves-
115851Bills-White Wolves-
117862White Wolves-Silver Knights-
120880Griffins-White Wolves-
122896White Wolves-Bills-
124912White Wolves-Blossom Bytes-
125922Roadrunners-White Wolves-
128946White Wolves-Redhawks-
129953Gorillas-White Wolves-
132974White Wolves-Redhawks-
133984Moose-White Wolves-
1371011White Wolves-Titans-
1381017Saints-White Wolves-
1411042Mountaineers-White Wolves-
1431054White Wolves-Crunch-
1441067White Wolves-Rocket-
1461080Blood Miners-White Wolves-
1501105Eagles-White Wolves-
1521117White Wolves-Bills-
1541136White Wolves-Crunch-
1561145Octopus-White Wolves-
1601169Gorillas-White Wolves-
1611173White Wolves-Griffins-
1661203Saints-White Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691228White Wolves-Griffins-
1731247Octopus-White Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance3,5005,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 8500 - 100.00% 237,000$237,000$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
47,834$ 3,561,538$ 3,561,538$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
23,917$ 47,834$ 35 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 172 23,917$ 4,113,724$




White Wolves 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

White Wolves 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

White Wolves 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

White Wolves 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

White Wolves 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