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Connexion

White Wolves
GP: 11 | W: 6 | L: 5
GF: 34 | GA: 32 | PP%: 28.33% | PK%: 76.92%
DG: Felix | Morale : 85 | Moyenne d’équipe : N/A

Centre de jeu
White Wolves
6-5-0, 12pts
3
FINAL
2 Mountaineers
8-5-0, 16pts
Team Stats
L1SéquenceL1
3-3-0Fiche domicile3-3-0
3-2-0Fiche domicile5-2-0
5-4-1Derniers 10 matchs6-4-0
3.09Buts par match 3.31
2.91Buts contre par match 3.00
28.33%Pourcentage en avantage numérique30.43%
76.92%Pourcentage en désavantage numérique78.69%
Mountaineers
8-5-0, 16pts
5
FINAL
3 White Wolves
6-5-0, 12pts
Team Stats
L1SéquenceL1
3-3-0Fiche domicile3-3-0
5-2-0Fiche domicile3-2-0
6-4-0Derniers 10 matchs5-4-1
3.31Buts par match 3.09
3.00Buts contre par match 2.91
30.43%Pourcentage en avantage numérique28.33%
78.69%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Buts
Ethen Frank
7
Passes
Ethen Frank
11
Points
Ethen Frank
18
Plus/Moins
Carter Sotheran
3
Victoires
Joel Blomqvist
5
Pourcentage d’arrêts
Joel Blomqvist
0.921

Statistiques d’équipe
Buts pour
34
3.09 GFG
Tirs pour
282
25.64 Avg
Pourcentage en avantage numérique
28.3%
17 GF
Début de zone offensive
39.9%
Buts contre
32
2.91 GAA
Tirs contre
291
26.45 Avg
Pourcentage en désavantage numérique
76.9%%
9 GA
Début de la zone défensive
37.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance8,000
Billets de saison800


Informations de la formation

Équipe Pro42
Équipe Mineure19
Limite contact 61 / 65
Espoirs17


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 HryckowianX100.0060606060607070606060606060445705800201650,000$
2Angus CrookshankXX100.0063509070697692656165666865526008300251826,875$
3Hendrix LapierreX100.00645094796976877264716567655260085002231,500,000$
4Ethen FrankXXX100.00645093777177877261677067654559082002611,250,000$
5Zach DeanX100.00606060606070706060606060604055089002111,500,000$
6Josh BloomXX100.0060606060607070606060606060405503700211975,000$
7Adam SykoraXXX100.00606060606070706060606060604055083002011,250,000$
8Oliver KapanenX100.00605094667477756964666567684055068012121,250,000$
9Gabriel Perreault (R) (A)X100.00606060606070706060606060604455086001931,500,000$
10Ethan Miedema (R)XX100.0060606060607070606060606060485508800193825,000$
11Adam Jecho (R)XX100.0060606060607070606060606060445506600183975,000$
12Owen Allard (R)XX100.0060606060607070606060606060485505200203750,000$
13Domenick FensoreX100.0064509071668692632564627365405508900232866,250$
14Oliver BonkX100.00606060606070706060606060604055089011921,500,000$
15Sam Rinzel (R)X100.00606060606070706060606060604455087002031,250,000$
16Ryan Chesley (R)X100.00606060606070706060606060604655083002031,250,000$
17Carter Sotheran (R)X100.0060606060607070606060606060465504200193825,000$
18Artyom Levshunov (R)X100.00625084707987926825706771654455085001931,500,000$
Rayé
1Jan MysakXXX100.00606060606070706060606060605260062002221,378,125$
2Owen LindmarkX100.0060606060607070606060606060405502300232866,250$
3Evan VierlingX100.0060606060607070606060606060405507200221825,000$
4James HardieX100.0060606060607070606060606060405503400221650,000$
5Francesco PinelliX100.00606060606070706060606060604055071002111,250,000$
6Jayden GrubbeX100.00606060606070706060606060604055023002111,250,000$
7Aaron HuglenXXX100.0060606060607070606060606060405502201231975,000$
8Jackson KunzX100.0060606060607070606060606060405502001221825,000$
9Kalle VaisanenXX100.0060606060607070606060606060405505901212975,000$
10Luca PinelliX100.0060606060607070606060606060405507601192825,000$
11Mathieu CatafordXX100.0060606060607070606060606060405504301192975,000$
12Justin Janicke (R)XX100.0060606060607070606060606060485502000212650,000$
13Emil Jarventie (R)X100.0060606060607070606060606060445502000193700,000$
14Oscar PlandowskiX100.0060606060607070606060606060405503100211750,000$
15Michael BuchingerX100.0060606060607070606060606060405503800201975,000$
16Samuel JohannessonX100.0060606060607070606060606060405502301241700,000$
17Tyson GallowayX100.0060606060607070606060606060405503101212825,000$
18Jake FurlongX100.0060606060607070606060606060405502001202750,000$
19Etienne MorinX100.00606060606070706060606060604055080011921,250,000$
20Hank Kempf (R)X100.0060606060607070606060606060485502500222650,000$
MOYENNE D’ÉQUIPE100.006058656262727361586161616143560560
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 Villalta100.0060707060606060606060605767085002521,647,160$
2Nolan Lalonde100.006070706060606060606060405508200201650,000$
Rayé
1Adam Scheel100.006070706060606060606060536407100252682,500$
2Joel Blomqvist60.1162767181766368657361714055073002211,250,000$
MOYENNE D’ÉQUIPE90.00617270656461626163606348600780
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner6775698469731CAN544600,000$


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
1Ethen FrankWhite Wolves (CHI)C/LW/RW1171118155111947162614.89%825122.84461013420001302052.15%163124001.4300010312
2Hendrix LapierreWhite Wolves (CHI)C116612-4101081443122313.95%525323.0141513400002300049.31%144111000.9500011020
3Josh BloomWhite Wolves (CHI)LW/RW94610-4121017112471316.67%415617.41257435000000044.44%941001.2800020010
4Zach DeanWhite Wolves (CHI)C113581161020172391913.04%122020.000332400002250145.69%11652000.7300200110
5Artyom LevshunovWhite Wolves (CHI)D11178-82082017995.88%1926323.99145945000034000%054000.6100000000
6Angus CrookshankWhite Wolves (CHI)LW/RW11246-320712129316.67%417415.89000050000101050.00%641000.6900000001
7Domenick FensoreWhite Wolves (CHI)D11156-89571118835.56%1925823.54134542000132000%077000.4600001001
8Adam SykoraWhite Wolves (CHI)C/LW/RW11246-3361013122814127.14%924322.171344400003230042.86%2132000.4900011000
9Oliver BonkWhite Wolves (CHI)D111340231561385512.50%1924021.89101242000025000%035000.3300102000
10Sam RinzelWhite Wolves (CHI)D11224242201014153313.33%923321.19213541000025200%084000.3400310100
11Dylan HryckowianWhite Wolves (CHI)RW1120222012453140.00%11049.5300006000000054.55%1100000.3800000000
12Jan MysakWhite Wolves (CHI)C/LW/RW211200073121100.00%03718.7710117000011033.33%310001.0700000001
13Gabriel PerreaultWhite Wolves (CHI)RW10112-4751114441025.00%115915.95011126000000052.56%7811000.2500001000
14Adam JechoWhite Wolves (CHI)C/RW11112-1221012694311.11%314212.9500000000000042.86%717000.2800200010
15Evan VierlingWhite Wolves (CHI)C80110759128440%011714.6900004000010060.00%504000.1700100000
16Oliver KapanenWhite Wolves (CHI)C4011-355044350%0369.06011310000000045.45%3310000.5500010000
17Ryan ChesleyWhite Wolves (CHI)D11011-11915678110%617315.780000200005000%000000.1200120000
18Carter SotheranWhite Wolves (CHI)D1101131210977210%416915.430000000002000%002000.1200011000
19Ethan MiedemaWhite Wolves (CHI)LW/RW11000000221100%0413.790000000000000%00000000000000
20Owen AllardWhite Wolves (CHI)C/LW11000000000000%060.630000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne198346094-3023113517520228211614212.06%112328616.601728456243500092526149.33%5966645000.570010107565
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
1Joel BlomqvistWhite Wolves (CHI)75010.9211.82396211215188000070100
2Matt VillaltaWhite Wolves (CHI)51400.8574.38274002014074100047000
Statistiques d’équipe totales ou en moyenne126410.8902.876702132291162100117100


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/RW232001-03-06USANo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$278,571$97,500$27,857$No---------------------------
Adam JechoWhite Wolves (CHI)C/RW182006-03-24CZEYes201 Lbs6 ft3NoNoDraftNoNo32025-08-21FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Adam ScheelWhite Wolves (CHI)G251999-05-01USANo192 Lbs6 ft3NoNoFree AgentNoNo22025-09-13FalseFalsePro & Farm682,500$195,000$68,250$19,500$No682,500$--------682,500$--------No--------
Adam SykoraWhite Wolves (CHI)C/LW/RW202004-09-07SVKNo172 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Angus CrookshankWhite Wolves (CHI)LW/RW251999-10-02CANNo183 Lbs5 ft10NoNoN/ANoNo12025-09-13FalseFalsePro & Farm826,875$236,250$82,688$23,625$No---------------------------
Artyom LevshunovWhite Wolves (CHI)D192005-10-28BLRYes208 Lbs6 ft2NoNoDraftNoNo32025-08-21FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Carter SotheranWhite Wolves (CHI)D192005-06-26CANYes198 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Domenick FensoreWhite Wolves (CHI)D232001-09-07USANo175 Lbs5 ft9NoNoN/ANoNo22025-09-13FalseFalsePro & Farm866,250$247,500$86,625$24,750$No866,250$--------866,250$--------No--------
Dylan HryckowianWhite Wolves (CHI)RW202004-05-19CANNo170 Lbs5 ft8NoNoAssign ManuallyNoNo12025-11-25FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Emil JarventieWhite Wolves (CHI)LW192005-04-04FINYes168 Lbs5 ft8NoNoProspectNoNo32025-08-21FalseFalsePro & Farm700,000$200,000$70,000$20,000$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Ethan MiedemaWhite Wolves (CHI)LW/RW192005-03-22CANYes212 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Ethen FrankWhite Wolves (CHI)C/LW/RW261998-02-05USANo188 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Etienne MorinWhite Wolves (CHI)D192005-03-09CANNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$--------1,250,000$--------No--------
Evan VierlingWhite Wolves (CHI)C222002-06-20CANNo183 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm825,000$235,714$82,500$23,571$No---------------------------
Francesco PinelliWhite Wolves (CHI)C212003-04-11CANNo185 Lbs7 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Gabriel PerreaultWhite Wolves (CHI)RW192005-05-07CANYes179 Lbs5 ft9NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Hank KempfWhite Wolves (CHI)D222002-04-15USAYes201 Lbs6 ft0NoNoProspectNoNo22025-08-21FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Hendrix LapierreWhite Wolves (CHI)C222002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Jackson KunzWhite Wolves (CHI)C222002-08-13USANo227 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$235,714$82,500$23,571$No---------------------------
Jake FurlongWhite Wolves (CHI)D202004-03-04CANNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$--------750,000$--------No--------
James HardieWhite Wolves (CHI)LW222002-01-18CANNo180 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Jan MysakWhite Wolves (CHI)C/LW/RW222002-06-24CZENo176 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,378,125$393,750$137,812$39,375$No1,378,125$--------1,378,125$--------No--------
Jayden GrubbeWhite Wolves (CHI)C212003-01-12CANNo191 Lbs7 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Joel Blomqvist (sur la masse salariale)White Wolves (CHI)G222002-01-10FINNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No---------------------------
Josh BloomWhite Wolves (CHI)LW/RW212003-06-08CANNo188 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$278,571$97,500$27,857$No---------------------------
Justin JanickeWhite Wolves (CHI)C/LW212003-06-30USAYes187 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Kalle VaisanenWhite Wolves (CHI)LW/RW212003-01-28FINNo194 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$--------975,000$--------No--------
Luca PinelliWhite Wolves (CHI)C192005-04-05CANNo168 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$--------825,000$--------No--------
Mathieu CatafordWhite Wolves (CHI)LW/RW192005-03-01CANNo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm975,000$278,571$97,500$27,857$No975,000$--------975,000$--------No--------
Matt VillaltaWhite Wolves (CHI)G251999-06-03CANNo165 Lbs6 ft3NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,647,160$470,617$164,716$47,062$No1,647,160$--------1,647,160$--------No--------
Michael BuchingerWhite Wolves (CHI)D202004-04-25CANNo183 Lbs7 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$278,571$97,500$27,857$No---------------------------
Nolan LalondeWhite Wolves (CHI)G202004-02-14CANNo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Oliver BonkWhite Wolves (CHI)D192005-01-09CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$--------1,500,000$--------No--------
Oliver KapanenWhite Wolves (CHI)C212003-07-29FINNo194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$--------1,250,000$--------No--------
Oscar PlandowskiWhite Wolves (CHI)D212003-05-18CANNo183 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$214,286$75,000$21,429$No---------------------------
Owen AllardWhite Wolves (CHI)C/LW202004-01-13CANYes187 Lbs6 ft0NoNoDraftNoNo32025-08-21FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Owen LindmarkWhite Wolves (CHI)C232001-05-17USANo183 Lbs7 ft3NoNoN/ANoNo22025-09-13FalseFalsePro & Farm866,250$247,500$86,625$24,750$No866,250$--------866,250$--------No--------
Ryan ChesleyWhite Wolves (CHI)D202004-02-27USAYes194 Lbs5 ft10NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Sam RinzelWhite Wolves (CHI)D202004-06-25USAYes190 Lbs6 ft2NoNoProspectNoNo32025-08-21FalseFalsePro & Farm1,250,000$357,143$125,000$35,714$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Samuel JohannessonWhite Wolves (CHI)D242000-12-27SWENo176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$200,000$70,000$20,000$No---------------------------
Tyson GallowayWhite Wolves (CHI)D212003-01-20CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm825,000$235,714$82,500$23,571$No825,000$--------825,000$--------No--------
Zach DeanWhite Wolves (CHI)C212003-01-04CANNo176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4221.10187 Lbs6 ft31.831,017,075$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Angus CrookshankOliver KapanenHendrix Lapierre28122
2Adam JechoEthen FrankAdam Sykora28122
3Gabriel PerreaultZach DeanJosh Bloom25122
4Ethan MiedemaAdam SykoraDylan Hryckowian19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreArtyom Levshunov34122
2Oliver BonkRyan Chesley33122
3Carter SotheranSam Rinzel33122
4Artyom LevshunovSam Rinzel0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Zach DeanOliver KapanenHendrix Lapierre50122
2Adam SykoraEthen FrankJosh Bloom50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreArtyom Levshunov50122
2Sam RinzelOliver Bonk50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zach DeanEthen Frank50122
2Hendrix LapierreAdam Sykora50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreArtyom Levshunov50122
2Oliver BonkSam Rinzel50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hendrix Lapierre50122Domenick FensoreArtyom Levshunov50122
2Ethen Frank50122Oliver BonkSam Rinzel50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zach DeanJosh Bloom50122
2Ethen FrankHendrix Lapierre50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovSam Rinzel50122
2Oliver BonkDomenick Fensore50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver KapanenEthen FrankHendrix LapierreDomenick FensoreArtyom Levshunov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethen FrankZach DeanHendrix LapierreDomenick FensoreArtyom Levshunov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Dean, Adam Sykora, Dylan HryckowianJosh Bloom, Ethen FrankEthen Frank
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Bonk, Sam Rinzel, Artyom LevshunovArtyom LevshunovSam Rinzel, Artyom Levshunov
Tirs de pénalité
Gabriel Perreault, Ethen Frank, Adam Sykora, Hendrix Lapierre, Zach Dean
Gardien
#1 : Matt Villalta, #2 : Nolan Lalonde


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
1Bills54100000191093300000012662110000074380.800193453015522213878801159128411057426726.92%20480.00%011823849.58%11722252.70%5913643.38%20685205121258130
2Mountaineers624000001522-730300000613-73210000099040.33315264100552221447880115916371128101341029.41%19573.68%011823849.58%11722252.70%5913643.38%20685205121258130
Total11650000034322633000001819-15320000016133120.545346094015522228278801159291112233175601728.33%39976.92%011823849.58%11722252.70%5913643.38%20685205121258130
_Since Last GM Reset11650000034322633000001819-15320000016133120.545346094015522228278801159291112233175601728.33%39976.92%011823849.58%11722252.70%5913643.38%20685205121258130
_Vs Conference11650000034322633000001819-15320000016133120.545346094015522228278801159291112233175601728.33%39976.92%011823849.58%11722252.70%5913643.38%20685205121258130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L134609428229111223317501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500003432
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001819
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001613
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601728.33%39976.92%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
7880115955222
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
11823849.58%11722252.70%5913643.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
20685205121258130


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
27Bills1White Wolves5WSommaire du match
415Bills2White Wolves3WXSommaire du match
623White Wolves4Bills0WSommaire du match
831White Wolves3Bills4LXSommaire du match
1039Bills3White Wolves4WXSommaire du match
1660White Wolves5Mountaineers1WSommaire du match
1864White Wolves1Mountaineers6LSommaire du match
2068Mountaineers4White Wolves2LSommaire du match
2272Mountaineers4White Wolves1LSommaire du match
2476White Wolves3Mountaineers2WSommaire du match
2680Mountaineers5White Wolves3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3212
Assistance15,00033,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 8000 - 100.00% 175,200$1,051,200$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 4,146,716$ 4,146,716$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 41 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 0$ 0$




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