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Wranglers
GP: 5 | W: 4 | L: 1
GF: 26 | GA: 22 | PP%: 33.33% | PK%: 85.71%
DG: Dan Villeneuve | Morale : 86 | Moyenne d’équipe : 59

Centre de jeu
Wranglers
4-1-0, 8pts
3
FINAL
2 Griffins
1-4-0, 2pts
Team Stats
W3SéquenceL3
2-1-0Fiche domicile0-2-0
2-0-0Fiche domicile1-2-0
4-1-0Derniers 10 matchs1-3-1
5.20Buts par match 4.40
4.40Buts contre par match 5.20
33.33%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique66.67%
Griffins
1-4-0, 2pts
4
FINAL
6 Wranglers
4-1-0, 8pts
Team Stats
L3SéquenceW3
0-2-0Fiche domicile2-1-0
1-2-0Fiche domicile2-0-0
1-3-1Derniers 10 matchs4-1-0
4.40Buts par match 5.20
5.20Buts contre par match 4.40
14.29%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Mason AppletonButs
Mason Appleton
6
Mason AppletonPasses
Mason Appleton
7
Mason AppletonPoints
Mason Appleton
13
Tyler TuckerPlus/Moins
Tyler Tucker
4
Justus AnnunenVictoires
Justus Annunen
4
Justus AnnunenPourcentage d’arrêts
Justus Annunen
0.887

Statistiques d’équipe
Buts pour
26
5.20 GFG
Tirs pour
219
43.80 Avg
Pourcentage en avantage numérique
33.3%
7 GF
Début de zone offensive
40.4%
Buts contre
22
4.40 GAA
Tirs contre
199
39.80 Avg
Pourcentage en désavantage numérique
85.7%%
2 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralDan Villeneuve
EntraîneurLanny McDonald
DivisionCentral
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs30


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
1Mason AppletonX100.00715686677076837050656669506969090650303500,000$
2Vladimir TarasenkoX100.006955967178769169507062595075730696503416,000,000$
3Connor ZaryX100.00645686716474887156656763546161079640242500,000$
4Aatu Raty (R)X100.00805879707165597880637158516064092630234500,000$
5Taylor RaddyshX100.006756886772719069506856605065650856302811,000,000$
6John BeecherX100.00725884648069885871605169506164084610253500,000$
7Anthony DuclairX100.006456896671766662506164585370680846103041,750,000$
8Oliver WahlstromX100.00686586667466636650625260686665084600251500,000$
9Cam AtkinsonX100.00556492646062616850605659508175084590361500,000$
10Riley TufteX100.00504368578350514950504950506664084520283500,000$
11Erik GustafssonX100.006158837367707670506650645576730656403431,000,000$
12Parker WotherspoonX100.00745790626873736950605472556869089640283500,000$
13Tyler TuckerX100.00787774617365636550565671566366086620263850,000$
14Nikolas Matinpalo (R)X100.00666075617663636550565267556667083610271500,000$
15Tyson BarrieX100.006058846570525562505552606579750855903411,500,000$
Rayé
1Justin BrazeauX100.00785693698270866850646460506564063640283500,000$
2Zack Ostapchuk (R)X100.00796581637765715865585063505658028580222500,000$
3Joshua Roy (R)X100.00505590576851535050505050516162020510222500,000$
4Liam FoudyX100.00503589576650505050505050506061020510262500,000$
5Sonny MilanoX100.00503589576950505050505050506765020510291500,000$
6Samuel HonzekX100.00504079576750525050505050505155020500214550,000$
7Juuso VälimäkiX100.00635883617270666450565071556668056620272500,000$
8Ben HuttonX100.00525099577550535050505051557472020540331500,000$
9Kirill KudryavtsevX100.00503594577150525050505050555561019520223675,000$
10Matt KierstedX100.00504553576450525050515050556569020520284550,000$
MOYENNE D’ÉQUIPE100.0063548463726366615358555953666606159
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
1Justus Annunen (R)100.0070777478688072697054506164081690262500,000$
2Arturs Silovs (R)100.00556562775050505050505058580915502522,500,000$
Rayé
MOYENNE D’ÉQUIPE100.006371687859656160605250606108662
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanny McDonald7585958070801CAN725500,000$


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
1Mason AppletonWranglers (WPG)C567132009163271918.75%113126.322353140001162158.65%13300011.9800000300
2Vladimir TarasenkoWranglers (WPG)RW5549-300482571820.00%114228.551346130001140053.06%4900001.2600000020
3Aatu RatyWranglers (WPG)C5437-34091423111917.39%19519.05202820000071067.65%13600001.4700000101
4Oliver WahlstromWranglers (WPG)RW525720073183511.11%311122.2700000000000150.00%400001.2600000020
5Cam AtkinsonWranglers (WPG)RW533620004138823.08%17414.9000011000000050.00%400001.6100000001
6Parker WotherspoonWranglers (WPG)D52462001510235118.70%1612925.902021716000114010%000000.9300000001
7Tyler TuckerWranglers (WPG)D5156400118124158.33%59118.210331018000011000%000001.3200000002
8Anthony DuclairWranglers (WPG)LW5145-22028167106.25%18116.28033514000000033.33%600001.2300000000
9John BeecherWranglers (WPG)C51342205962716.67%16012.0100000000040063.51%7400001.3300000000
10Tyson BarrieWranglers (WPG)D5033-7601123120%78316.650000000000000%000000.7200000000
11Taylor RaddyshWranglers (WPG)RW512310095154126.67%17715.5000001000001033.33%300000.7700000010
12Nikolas MatinpaloWranglers (WPG)D5022-7601255130%88717.450001100000000%000000.4600000000
13Connor ZaryWranglers (WPG)C5011120312156150%07915.8000000000080067.74%9300000.2500000000
14Riley TufteWranglers (WPG)LW5011-140616340%310921.83000220000000075.00%400000.1800000000
Statistiques d’équipe totales ou en moyenne70264773-72601031052126914812.26%49135319.3471219531210003774362.45%50600011.0800000455
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
1Justus AnnunenWranglers (WPG)54000.8874.2426920191680100050100
2Arturs SilovsWranglers (WPG)10100.9035.1435003310000005000
Statistiques d’équipe totales ou en moyenne64100.8894.343042022199010055100


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 Plafond 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
Aatu RatyWranglers (WPG)C232002-11-14FINYes190 Lbs6 ft2NoNoTrade2026-01-21NoNo42025-07-25FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Anthony DuclairWranglers (WPG)LW301995-08-26CANNo200 Lbs6 ft0NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm1,750,000$175,000$25,000$No1,750,000$1,750,000$1,750,000$------1,750,000$1,750,000$1,750,000$------NoNoNo------Lien / Lien NHL
Arturs SilovsWranglers (WPG)G252001-03-22LVAYes203 Lbs6 ft4NoNoTrade2025-06-25NoNo2FalseFalsePro & Farm2,500,000$250,000$35,714$No2,500,000$--------2,500,000$--------No--------Lien / Lien NHL
Ben HuttonWranglers (WPG)D331993-04-20CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Cam AtkinsonWranglers (WPG)RW361989-06-05USANo178 Lbs5 ft8NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Connor ZaryWranglers (WPG)C242001-09-25CANNo178 Lbs6 ft0NoNoTrade2025-02-01NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Erik GustafssonWranglers (WPG)D341992-03-14SWENo189 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm1,000,000$100,000$14,286$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
John BeecherWranglers (WPG)C252001-04-05USANo220 Lbs6 ft3NoNoFree AgentNoNo32024-09-03FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Joshua RoyWranglers (WPG)RW222003-08-06CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Justin BrazeauWranglers (WPG)RW281998-02-02CANNo227 Lbs6 ft6NoNoFree AgentNoNo32024-09-05FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Justus AnnunenWranglers (WPG)G262000-03-11FINYes210 Lbs6 ft4NoNoTrade2025-07-25NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Juuso VälimäkiWranglers (WPG)D271998-10-06FINNo201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Kirill KudryavtsevWranglers (WPG)D222004-02-05RUSNo200 Lbs5 ft11NoNoFree AgentNoNo32025-08-09FalseFalsePro & Farm675,000$67,500$9,643$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien / Lien NHL
Liam FoudyWranglers (WPG)C262000-02-04CANNo186 Lbs6 ft1NoNoFree AgentNoNo22024-09-08FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mason AppletonWranglers (WPG)C301996-01-15USANo194 Lbs6 ft2NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Matt KierstedWranglers (WPG)D281998-04-14USANo182 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm550,000$55,000$7,857$No550,000$550,000$550,000$------550,000$550,000$550,000$------NoNoNo------Lien / Lien NHL
Nikolas MatinpaloWranglers (WPG)D271998-10-05FINYes211 Lbs6 ft3NoNoTrade2025-07-24NoNo12025-04-09FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Oliver WahlstromWranglers (WPG)RW252000-06-13USANo205 Lbs6 ft2NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Parker WotherspoonWranglers (WPG)D281997-08-24CANNo192 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Riley TufteWranglers (WPG)LW281998-04-10USANo230 Lbs6 ft6NoNoFree AgentNoNo32024-09-06FalseFalsePro & Farm500,000$50,000$7,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Samuel HonzekWranglers (WPG)LW212004-11-12SVKNo186 Lbs6 ft4NoNoFree Agent2025-07-11NoNo42025-07-25FalseFalsePro & Farm550,000$55,000$7,857$No550,000$550,000$550,000$------550,000$550,000$550,000$------NoNoNo------Lien / Lien NHL
Sonny MilanoWranglers (WPG)LW291996-05-12USANo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Taylor RaddyshWranglers (WPG)RW281998-02-18CANNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$14,286$No---------------------------Lien / Lien NHL
Tyler TuckerWranglers (WPG)D262000-03-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm850,000$85,000$12,143$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Tyson BarrieWranglers (WPG)D341991-07-26CANNo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$21,429$No---------------------------Lien / Lien NHL
Vladimir TarasenkoWranglers (WPG)RW341991-12-13RUSNo219 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$600,000$85,714$No---------------------------Lien / Lien NHL
Zack OstapchukWranglers (WPG)C222003-05-29CANYes212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.44200 Lbs6 ft22.30921,296$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairMason AppletonVladimir Tarasenko40122
2Riley TufteAatu Raty30122
3Vladimir TarasenkoConnor ZaryTaylor Raddysh20122
4Mason AppletonJohn BeecherOliver Wahlstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker Wotherspoon40122
2Tyler Tucker30122
3Nikolas MatinpaloTyson Barrie20122
4Parker Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairMason AppletonVladimir Tarasenko60122
2Riley TufteAatu Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker Wotherspoon60122
2Tyler Tucker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir TarasenkoMason Appleton60122
2Aatu RatyConnor Zary40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker Wotherspoon60122
2Tyler Tucker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vladimir Tarasenko60122Parker Wotherspoon60122
2Mason Appleton40122Tyler Tucker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir TarasenkoMason Appleton60122
2Aatu RatyConnor Zary40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Parker Wotherspoon60122
2Tyler Tucker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairMason AppletonVladimir TarasenkoParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairMason AppletonVladimir TarasenkoParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Atkinson, Taylor Raddysh, John BeecherCam Atkinson, Taylor RaddyshJohn Beecher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolas Matinpalo, Tyson Barrie, Tyler TuckerNikolas MatinpaloTyson Barrie, Tyler Tucker
Tirs de pénalité
Vladimir Tarasenko, Mason Appleton, Aatu Raty, Connor Zary,
Gardien
#1 : Justus Annunen, #2 : Arturs Silovs


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
1Griffins5410000026224321000001515022000000117480.80026487400810712197767705199512810621733.33%14285.71%013220664.08%12020159.70%6510363.11%14811193326234
Total5410000026224321000001515022000000117480.80026487400810712197767705199512810621733.33%14285.71%013220664.08%12020159.70%6510363.11%14811193326234
_Since Last GM Reset5410000026224321000001515022000000117480.80026487400810712197767705199512810621733.33%14285.71%013220664.08%12020159.70%6510363.11%14811193326234
_Vs Conference5410000026224321000001515022000000117480.80026487400810712197767705199512810621733.33%14285.71%013220664.08%12020159.70%6510363.11%14811193326234

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
58W3264874219199512810600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
54100002622
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001515
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2200000117
Derniers 10 matchs
WLOTWOTL SOWSOL
311000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21733.33%14285.71%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
776770581071
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
13220664.08%12020159.70%6510363.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14811193326234


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
26Griffins7Wranglers4LSommaire du match
414Griffins4Wranglers5WXSommaire du match
622Wranglers8Griffins5WSommaire du match
830Wranglers3Griffins2WSommaire du match
1038Griffins4Wranglers6WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,487,500$ 2,487,500$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




Wranglers 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

Wranglers 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

Wranglers 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

Wranglers 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

Wranglers 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