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Wranglers
GP: 53 | W: 27 | L: 20 | OTL: 6 | P: 60
GF: 249 | GA: 246 | PP%: 21.51% | PK%: 73.03%
DG: Dan Villeneuve | Morale : 49 | Moyenne d’équipe : 59
Prochains matchs #592 vs Nordiks

Centre de jeu
Canucks
25-22-7, 57pts
4
FINAL
2 Wranglers
27-20-6, 60pts
Team Stats
OTL1SéquenceOTL1
14-8-4Fiche domicile15-10-2
11-14-3Fiche domicile12-10-4
4-4-2Derniers 10 matchs2-4-4
4.07Buts par match 4.70
3.94Buts contre par match 4.64
30.83%Pourcentage en avantage numérique21.51%
78.33%Pourcentage en désavantage numérique73.03%
Barons
24-24-6, 54pts
3
FINAL
2 Wranglers
27-20-6, 60pts
Team Stats
OTW1SéquenceOTL1
13-9-4Fiche domicile15-10-2
11-15-2Fiche domicile12-10-4
3-4-3Derniers 10 matchs2-4-4
3.69Buts par match 4.70
3.76Buts contre par match 4.64
24.56%Pourcentage en avantage numérique21.51%
81.48%Pourcentage en désavantage numérique73.03%
Wranglers
27-20-6, 60pts
Jour 117
Nordiks
30-20-4, 64pts
Statistiques d’équipe
OTL1SéquenceW1
15-10-2Fiche domicile14-10-2
12-10-4Fiche visiteur16-10-2
2-4-410 derniers matchs5-4-1
4.70Buts par match 5.31
4.64Buts contre par match 5.31
21.51%Pourcentage en avantage numérique23.28%
73.03%Pourcentage en désavantage numérique70.00%
Nordiks
30-20-4, 64pts
Jour 119
Wranglers
27-20-6, 60pts
Statistiques d’équipe
W1SéquenceOTL1
14-10-2Fiche domicile15-10-2
16-10-2Fiche visiteur12-10-4
5-4-110 derniers matchs2-4-4
5.31Buts par match 4.70
4.93Buts contre par match 4.70
23.28%Pourcentage en avantage numérique21.51%
70.00%Pourcentage en désavantage numérique73.03%
Wranglers
27-20-6, 60pts
Jour 121
Barracuda
25-23-5, 55pts
Statistiques d’équipe
OTL1SéquenceL2
15-10-2Fiche domicile14-11-1
12-10-4Fiche visiteur11-12-4
2-4-410 derniers matchs5-4-1
4.70Buts par match 3.42
4.64Buts contre par match 3.42
21.51%Pourcentage en avantage numérique21.37%
73.03%Pourcentage en désavantage numérique78.52%
Meneurs d'équipe
Aatu RatyButs
Aatu Raty
33
Aatu RatyPasses
Aatu Raty
28
Aatu RatyPoints
Aatu Raty
61
Aatu RatyPlus/Moins
Aatu Raty
15
Justus AnnunenVictoires
Justus Annunen
0
Justus AnnunenPourcentage d’arrêts
Justus Annunen
0.846

Statistiques d’équipe
Buts pour
249
4.70 GFG
Tirs pour
2396
45.21 Avg
Pourcentage en avantage numérique
21.5%
20 GF
Début de zone offensive
40.6%
Buts contre
246
4.64 GAA
Tirs contre
2072
39.09 Avg
Pourcentage en désavantage numérique
73.0%%
41 GA
Début de la zone défensive
39.2%
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 Mineure19
Limite contact 46 / 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
1Vladimir TarasenkoX100.006955957178769168506861595074720306503416,000,000$
2Mason AppletonX100.00705686677076836850646269506868055640303500,000$
3Aatu Raty (R)X100.00795879697065597679617058515963074630234500,000$
4Connor ZaryX100.00645685706374887055636663546060029630242500,000$
5Justin BrazeauX100.00785693698270866750626260506463056630273500,000$
6Taylor RaddyshX100.006756886772719068506755605064640566202711,000,000$
7John BeecherX100.00725883637969885870605070506063055610243500,000$
8Anthony DuclairX100.006456886671766661506064595369670556103041,750,000$
9Cam AtkinsonX100.00566491656162616850595659508074055590361500,000$
10Oliver WahlstromX100.00686586667466636550605260686564053590251500,000$
11Riley TufteX100.00504367578350515050505050506563056520273500,000$
12Erik GustafssonX100.006158837367707670506650645576730496403331,000,000$
13Parker WotherspoonX100.00735790626873736550565270556768057630283500,000$
14Juuso VälimäkiX100.00635883617270666350555070556567056620272500,000$
15Tyler TuckerX100.00777774617365636350545270566265056620253850,000$
16Nikolas Matinpalo (R)X100.00656075617663636350545067556566053600271500,000$
17Tyson BarrieX100.006058846570525560505350606578740565803411,500,000$
Rayé
1Zack Ostapchuk (R)X100.00796581637765715865585063505658057580222500,000$
2Joshua Roy (R)X100.00505590576851535050505050516162020510222500,000$
3Liam FoudyX100.00503589576650505050505050506061020510252500,000$
4Sonny MilanoX100.00503589576950505050505050506765020510291500,000$
5Samuel HonzekX100.00504079576750525050505050505155020500214550,000$
6Ben HuttonX100.00525099577550535050505051557472024540321500,000$
7Kirill KudryavtsevX100.00503594577150525050505050555561023520213675,000$
8Matt KierstedX100.00504553576450525050515050556569020520274550,000$
MOYENNE D’ÉQUIPE100.0063548463716366605357545953656504458
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)100.0070777478687870676854506063041680252500,000$
2Arturs Silovs (R)100.00556562775050505050505058580715502422,500,000$
Rayé
MOYENNE D’ÉQUIPE100.006371687859646059595250596105662
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
1Aatu RatyWranglers (WPG)C5433286115100106862095814315.79%992017.0545915550001274362.48%64500021.32110001031
2Oliver WahlstromWranglers (WPG)RW2331114-4003530587495.17%449021.31134827000090049.06%5300000.5700000021
3Ilya MikheyevWinnipeg JetsRW47310820432861525.00%27619.0201145000001040.00%500012.6300000201
4Mason AppletonWranglers (WPG)C5077-6205519570%111823.7401105000060046.15%7800001.1800000000
5Juuso VälimäkiWranglers (WPG)D5055000217160%810521.130000600007000%000000.9500000010
6Parker WotherspoonWranglers (WPG)D5325-500133101530.00%411823.601126600006000%000000.8500000001
7Justin BrazeauWranglers (WPG)RW5134100114216144.76%49919.8500006000000054.55%1100000.8100000001
8Anthony DuclairWranglers (WPG)LW5314-5002280737.50%05611.2800005000000050.00%200001.4200000010
9Erik GustafssonWranglers (WPG)D5033-5209610150%711623.270003600005000%000000.5200000000
10Nikolas MatinpaloWranglers (WPG)D51121759352220.00%17515.010000000000000%000000.5300010000
11Vladimir TarasenkoWranglers (WPG)RW5112-10078751314.29%012625.2200005000080040.00%3000000.3200000000
12Connor ZaryWranglers (WPG)C50111203782140%07414.8900000000120062.79%8600000.2700000000
13John BeecherWranglers (WPG)C5101-500121282612.50%26412.9700000000040062.35%8500000.3100000000
14Tyson BarrieWranglers (WPG)D5011100610160%57815.730000000003000%000000.2500000000
15Anthony BeauvillierWinnipeg JetsLW31010004518365.56%27525.2900022000160055.56%900000.2600000000
16Riley TufteWranglers (WPG)LW51011000221250.00%09819.7410115000000033.33%600000.2000000000
17Taylor RaddyshWranglers (WPG)RW51011604486112.50%07014.1800000000000025.00%400000.2800000000
18Tyler TuckerWranglers (WPG)D5101-28018330133.33%810320.670002600005000%000000.1900000000
19Cam AtkinsonWranglers (WPG)RW5000-100010100%0132.62000000000000100.00%30000000000000
Statistiques d’équipe totales ou en moyenne1595767124-539525018642910830213.29%57288218.1371118411450003945359.39%101700030.86110101275
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)50320.8464.9527900231490110050000
2Arturs SilovsWranglers (WPG)10001.00002000070000005000
Statistiques d’équipe totales ou en moyenne60320.8534.622990023156011055000


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$18,333$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$64,167$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)G242001-03-22LVAYes203 Lbs6 ft4NoNoTrade2025-06-25NoNo2FalseFalsePro & Farm2,500,000$250,000$91,667$No2,500,000$--------2,500,000$--------No--------Lien / Lien NHL
Ben HuttonWranglers (WPG)D321993-04-20CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Cam AtkinsonWranglers (WPG)RW361989-06-05USANo178 Lbs5 ft8NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Connor ZaryWranglers (WPG)C242001-09-25CANNo178 Lbs6 ft0NoNoTrade2025-02-01NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Erik GustafssonWranglers (WPG)D331992-03-14SWENo189 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm1,000,000$100,000$36,667$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
John BeecherWranglers (WPG)C242001-04-05USANo220 Lbs6 ft3NoNoFree AgentNoNo32024-09-03FalseFalsePro & Farm500,000$50,000$18,333$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$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Justin BrazeauWranglers (WPG)RW271998-02-02CANNo227 Lbs6 ft6NoNoFree AgentNoNo32024-09-05FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Justus AnnunenWranglers (WPG)G252000-03-11FINYes210 Lbs6 ft4NoNoTrade2025-07-25NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Juuso VälimäkiWranglers (WPG)D271998-10-06FINNo201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Kirill KudryavtsevWranglers (WPG)D212004-02-05RUSNo200 Lbs5 ft11NoNoFree AgentNoNo32025-08-09FalseFalsePro & Farm675,000$67,500$24,750$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien / Lien NHL
Liam FoudyWranglers (WPG)C252000-02-04CANNo186 Lbs6 ft1NoNoFree AgentNoNo22024-09-08FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mason AppletonWranglers (WPG)C301996-01-15USANo194 Lbs6 ft2NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Matt KierstedWranglers (WPG)D271998-04-14USANo182 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm550,000$55,000$20,167$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$18,333$No---------------------------Lien / Lien NHL
Oliver WahlstromWranglers (WPG)RW252000-06-13USANo205 Lbs6 ft2NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Lien / Lien NHL
Parker WotherspoonWranglers (WPG)D281997-08-24CANNo192 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Riley TufteWranglers (WPG)LW271998-04-10USANo230 Lbs6 ft6NoNoFree AgentNoNo32024-09-06FalseFalsePro & Farm500,000$50,000$18,333$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$20,167$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$18,333$No---------------------------Lien / Lien NHL
Taylor RaddyshWranglers (WPG)RW271998-02-18CANNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$36,667$No---------------------------Lien / Lien NHL
Tyler TuckerWranglers (WPG)D252000-03-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm850,000$85,000$31,167$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$55,000$No---------------------------Lien / Lien NHL
Vladimir TarasenkoWranglers (WPG)RW341991-12-13RUSNo219 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$600,000$220,000$No---------------------------Lien / Lien NHL
Zack OstapchukWranglers (WPG)C222003-05-29CANYes212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.00200 Lbs6 ft22.30921,296$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairMason AppletonVladimir Tarasenko40122
2Riley TufteAatu RatyJustin Brazeau30122
3Vladimir TarasenkoConnor ZaryTaylor Raddysh20122
4Mason AppletonJohn BeecherOliver Wahlstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonParker Wotherspoon40122
2Tyler TuckerJuuso Välimäki30122
3Nikolas MatinpaloTyson Barrie20122
4Erik GustafssonParker Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairMason AppletonVladimir Tarasenko60122
2Riley TufteAatu RatyJustin Brazeau40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonParker Wotherspoon60122
2Tyler TuckerJuuso Välimäki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir TarasenkoMason Appleton60122
2Aatu RatyConnor Zary40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonParker Wotherspoon60122
2Tyler TuckerJuuso Välimäki40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vladimir Tarasenko60122Erik GustafssonParker Wotherspoon60122
2Mason Appleton40122Tyler TuckerJuuso Välimäki40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vladimir TarasenkoMason Appleton60122
2Aatu RatyConnor Zary40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Erik GustafssonParker Wotherspoon60122
2Tyler TuckerJuuso Välimäki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairMason AppletonVladimir TarasenkoErik GustafssonParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairMason AppletonVladimir TarasenkoErik GustafssonParker 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, Justin Brazeau
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
1Aces622011002223-130201000914-532000100139470.58322426410967969624376179082032173555410016318.75%21576.19%0918204344.93%853197443.21%434101742.67%11398021415380650302
2Admirals11000000954110000009540000000000021.0009172600967969651761790820324113617100.00%30100.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
3Americiens2110000013103110000008441010000056-120.50013243700967969611476179082032130466415120.00%4325.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
4Barons5210011021165311001001010021000010116570.7002137580096796962207617908203217141221027114.29%10370.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
5Barracuda411001101818031100010141311000010045-150.625183250009679696188761790820321664631103500.00%13561.54%0918204344.93%853197443.21%434101742.67%11398021415380650302
6Broncos1010000034-1000000000001010000034-100.00036900967969641761790820324812411000%20100.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
7Bruins220000001459110000006331100000082641.0001423370096796968976179082032611616442150.00%80100.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
8Butter Knives1010000067-1000000000001010000067-100.0006121800967969667761790820323818424200.00%2150.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
9Canucks4120100020200312000001314-11000100076140.500203858109679696189761790820321253933994125.00%15380.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
10Fighting Pandas21100000811-31010000028-61100000063320.50081523009679696837617908203274174416116.67%2150.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
11Firebirds32100000131122110000089-11100000052340.667132538009679696113761790820321042920673266.67%10280.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
12Ice Bats42100100181802110000089-121000100109150.625183452009679696173761790820321484714947457.14%8362.50%0918204344.93%853197443.21%434101742.67%11398021415380650302
13Lions522001002429-5210001001091312000001420-650.50024477100967969627476179082032252773913310330.00%14471.43%0918204344.93%853197443.21%434101742.67%11398021415380650302
14Lynx1010000034-1000000000001010000034-100.00036900967969640761790820322613612000%3166.67%0918204344.93%853197443.21%434101742.67%11398021415380650302
15Marlies31100100121201100000031220100100911-230.50012243600967969611176179082032131251676800.00%7185.71%0918204344.93%853197443.21%434101742.67%11398021415380650302
16Nordiks202000001115-41010000058-31010000067-100.00011203100967969697761790820321084326504125.00%7271.43%0918204344.93%853197443.21%434101742.67%11398021415380650302
17Quacken320010001913621001000131031100000063361.00019325100967969613676179082032109252268200.00%11463.64%0918204344.93%853197443.21%434101742.67%11398021415380650302
18Roadrunners21100000711-4110000006421010000017-620.500714210096796968276179082032762212404125.00%50100.00%0918204344.93%853197443.21%434101742.67%11398021415380650302
19Wombats21100000814-60000000000021100000814-620.500815230096796968576179082032912314447114.29%7357.14%0918204344.93%853197443.21%434101742.67%11398021415380650302
Total532220036202492463271210022101241213261010014101251250600.56624946371220967969623967617908203220726073491166932021.51%1524173.03%0918204344.93%853197443.21%434101742.67%11398021415380650302
_Since Last GM Reset532220036202492463271210022101241213261010014101251250600.56624946371220967969623967617908203220726073491166932021.51%1524173.03%0918204344.93%853197443.21%434101742.67%11398021415380650302
_Vs Conference3312110352015315211968022108287-514630131071656390.5911532824352096796961520761790820321252373241749551323.64%992970.71%0918204344.93%853197443.21%434101742.67%11398021415380650302
_Vs Division19860332086851124602110555507400121031301290.763861582442096796968387617908203264918715241031516.13%651773.85%0918204344.93%853197443.21%434101742.67%11398021415380650302

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5360OTL124946371223962072607349116620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5322203620249246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2712102210124121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2610101410125125
Derniers 10 matchs
WLOTWOTL SOWSOL
240400
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
932021.51%1524173.03%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
761790820329679696
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
918204344.93%853197443.21%434101742.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11398021415380650302


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
24Wranglers6Barons2WSommaire du match
519Barons5Wranglers4LSommaire du match
728Barons2Wranglers4WSommaire du match
942Wranglers5Barons4WXXSommaire du match
1148Wranglers4Barracuda5LXSommaire du match
1357Quacken5Wranglers7WSommaire du match
1572Wranglers2Aces3LXSommaire du match
1779Wranglers7Canucks6WXSommaire du match
1887Canucks4Wranglers2LSommaire du match
1993Wranglers7Lions6WSommaire du match
22108Aces5Wranglers1LSommaire du match
25120Wranglers6Ice Bats4WSommaire du match
27130Barracuda5Wranglers6WSommaire du match
28136Wranglers6Quacken3WSommaire du match
31149Barracuda6Wranglers7WXXSommaire du match
34167Lions3Wranglers5WSommaire du match
37176Wranglers6Marlies7LSommaire du match
40188Marlies1Wranglers3WSommaire du match
44208Aces6Wranglers4LSommaire du match
46217Wranglers1Roadrunners7LSommaire du match
48227Wranglers5Americiens6LSommaire du match
49233Admirals5Wranglers9WSommaire du match
51248Wranglers6Butter Knives7LSommaire du match
52255Canucks6Wranglers9WSommaire du match
55271Fighting Pandas8Wranglers2LSommaire du match
57282Wranglers4Aces2WSommaire du match
59294Aces3Wranglers4WXSommaire du match
61304Wranglers2Lions6LSommaire du match
63315Wranglers6Fighting Pandas3WSommaire du match
65323Americiens4Wranglers8WSommaire du match
68338Firebirds6Wranglers2LSommaire du match
70346Wranglers3Lynx4LSommaire du match
72359Barracuda2Wranglers1LSommaire du match
74370Wranglers7Aces4WSommaire du match
76377Wranglers8Bruins2WSommaire du match
77386Bruins3Wranglers6WSommaire du match
80400Wranglers3Broncos4LSommaire du match
82411Quacken5Wranglers6WXSommaire du match
84423Ice Bats4Wranglers6WSommaire du match
85430Wranglers5Firebirds2WSommaire du match
89448Nordiks8Wranglers5LSommaire du match
92460Wranglers5Lions8LSommaire du match
94469Firebirds3Wranglers6WSommaire du match
96477Wranglers3Marlies4LXSommaire du match
98490Lions6Wranglers5LXSommaire du match
101507Wranglers5Wombats4WSommaire du match
102513Roadrunners4Wranglers6WSommaire du match
105529Wranglers3Wombats10LSommaire du match
107536Ice Bats5Wranglers2LSommaire du match
109549Wranglers6Nordiks7LSommaire du match
110557Wranglers4Ice Bats5LXSommaire du match
112564Canucks4Wranglers2LSommaire du match
114579Barons3Wranglers2LXSommaire du match
117592Wranglers-Nordiks-
119600Nordiks-Wranglers-
121610Wranglers-Barracuda-
122620Wranglers-Admirals-
124629Americiens-Wranglers-
126644Wranglers-Ice Bats-
128651Tomahawks-Wranglers-
131665Wranglers-Quacken-
132672Wombats-Wranglers-
136691Tomahawks-Wranglers-
139707Wranglers-Quacken-
140714Quacken-Wranglers-
145733Butter Knives-Wranglers-
147746Wranglers-Griffins-
148756Barons-Wranglers-
151772Griffins-Wranglers-
153782Wranglers-Canucks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155788Wranglers-Tomahawks-
157798Griffins-Wranglers-
158807Wranglers-Tomahawks-
161821Butter Knives-Wranglers-
163829Wranglers-Barracuda-
166841Lynx-Wranglers-
167844Wranglers-Barons-
171863Broncos-Wranglers-
172870Wranglers-Griffins-
175882Broncos-Wranglers-
176887Wranglers-Barons-
177894Wranglers-Canucks-



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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,699,290$ 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
2,487,500$ 1,382,668$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 66 16,597$ 1,095,402$




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