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Wranglers
GP: 73 | W: 44 | L: 21 | OTL: 8 | P: 96
GF: 346 | GA: 303 | PP%: 24.81% | PK%: 76.02%
DG: Dan Villeneuve | Morale : 66 | Moyenne d’équipe : 59
Prochains matchs #821 vs Butter Knives

Centre de jeu
Griffins
39-35-2, 80pts
2
FINAL
3 Wranglers
44-21-8, 96pts
Team Stats
L2SéquenceW2
22-15-0Fiche domicile25-10-2
17-20-2Fiche domicile19-11-6
1-8-1Derniers 10 matchs8-0-2
5.22Buts par match 4.74
5.22Buts contre par match 4.15
20.13%Pourcentage en avantage numérique24.81%
71.43%Pourcentage en désavantage numérique76.02%
Wranglers
44-21-8, 96pts
7
FINAL
1 Tomahawks
40-30-4, 84pts
Team Stats
W2SéquenceL1
25-10-2Fiche domicile23-14-0
19-11-6Fiche domicile17-16-4
8-0-2Derniers 10 matchs3-7-0
4.74Buts par match 4.93
4.15Buts contre par match 4.81
24.81%Pourcentage en avantage numérique22.41%
76.02%Pourcentage en désavantage numérique71.94%
Butter Knives
27-37-8, 62pts
Jour 161
Wranglers
44-21-8, 96pts
Statistiques d’équipe
L8SéquenceW2
16-17-4Fiche domicile25-10-2
11-20-4Fiche visiteur19-11-6
0-9-110 derniers matchs8-0-2
4.60Buts par match 4.74
5.21Buts contre par match 4.74
20.55%Pourcentage en avantage numérique24.81%
74.74%Pourcentage en désavantage numérique76.02%
Wranglers
44-21-8, 96pts
Jour 163
Barracuda
38-32-5, 81pts
Statistiques d’équipe
W2SéquenceL1
25-10-2Fiche domicile20-16-1
19-11-6Fiche visiteur18-16-4
8-0-210 derniers matchs5-5-0
4.74Buts par match 3.75
4.15Buts contre par match 3.75
24.81%Pourcentage en avantage numérique20.96%
76.02%Pourcentage en désavantage numérique79.46%
Lynx
37-34-1, 75pts
Jour 166
Wranglers
44-21-8, 96pts
Statistiques d’équipe
W3SéquenceW2
18-18-1Fiche domicile25-10-2
19-16-0Fiche visiteur19-11-6
4-6-010 derniers matchs8-0-2
4.00Buts par match 4.74
4.13Buts contre par match 4.74
29.86%Pourcentage en avantage numérique24.81%
82.67%Pourcentage en désavantage numérique76.02%
Meneurs d'équipe
Aatu RatyButs
Aatu Raty
43
Aatu RatyPasses
Aatu Raty
48
Aatu RatyPoints
Aatu Raty
91
Aatu RatyPlus/Moins
Aatu Raty
29
Justus AnnunenVictoires
Justus Annunen
17
Justus AnnunenPourcentage d’arrêts
Justus Annunen
0.914

Statistiques d’équipe
Buts pour
346
4.74 GFG
Tirs pour
3130
42.88 Avg
Pourcentage en avantage numérique
24.8%
32 GF
Début de zone offensive
40.6%
Buts contre
303
4.15 GAA
Tirs contre
2831
38.78 Avg
Pourcentage en désavantage numérique
76.0%%
47 GA
Début de la zone défensive
39.6%
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
1Vladimir TarasenkoX100.006955957178769169506962595075730576503416,000,000$
2Connor ZaryX100.00645685716474887155646763546161061640242500,000$
3Mason AppletonX100.00705686677076836950656469506969083640303500,000$
4Aatu Raty (R)X100.00795879697065597779637159516063090630234500,000$
5Taylor RaddyshX100.006756886772719068506756605065650816202811,000,000$
6John BeecherX100.00725883648069885870605169506164081610243500,000$
7Anthony DuclairX100.006456886671766661506164595370680816103041,750,000$
8Cam AtkinsonX100.00556491646062616850595659508175081590361500,000$
9Oliver WahlstromX100.00686586667466636550615160686665078590251500,000$
10Riley TufteX100.00504368578350515050505050506664080520273500,000$
11Erik GustafssonX100.006158837367707670506650645576730626403331,000,000$
12Parker WotherspoonX100.00745790626873736850595471556869085640283500,000$
13Tyler TuckerX100.00787774617365636450555571566366083620263850,000$
14Nikolas Matinpalo (R)X100.00656075617663636450555067556667080610271500,000$
15Tyson BarrieX100.006058846570525561505451606579750835903411,500,000$
Rayé
1Justin BrazeauX100.00785693698270866850646460506564072640283500,000$
2Zack Ostapchuk (R)X100.00796581637765715865585063505658037580222500,000$
3Joshua Roy (R)X100.00505590576851535050505050516162020510222500,000$
4Liam FoudyX100.00503589576650505050505050506061020510262500,000$
5Sonny MilanoX100.00503589576950505050505050506765020510291500,000$
6Samuel HonzekX100.00504079576750525050505050505155020500214550,000$
7Juuso VälimäkiX100.00635883617270666450565071556668065620272500,000$
8Ben HuttonX100.00525099577550535050505051557472020540321500,000$
9Kirill KudryavtsevX100.00503594577150525050505050555561019520223675,000$
10Matt KierstedX100.00504553576450525050515050556569020520274550,000$
MOYENNE D’ÉQUIPE100.0063548463716366615357555953666605959
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)100.0070777478687972696954506164074690262500,000$
2Arturs Silovs (R)100.00556562775050505050505058580875502422,500,000$
Rayé
MOYENNE D’ÉQUIPE100.006371687859656160605250606108162
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)C74434891291801511433128922313.78%12130317.625101521810002495364.27%112800021.40120001162
2Mason AppletonWranglers (WPG)C25151934101004266112258313.39%862324.921237350000484052.16%51000011.0901000311
3Parker WotherspoonWranglers (WPG)D251121321680742746143123.91%4460124.073251737000145100%000001.0600000431
4Justin BrazeauWranglers (WPG)RW23131831131753031102307212.75%741618.11314532000003045.45%3300011.4900000312
5Oliver WahlstromWranglers (WPG)RW433222509555509313663.23%977418.02134827000090046.97%6600000.6500001022
6Connor ZaryWranglers (WPG)C2591524860254862215414.52%437414.97000000001253256.70%44800001.2801000220
7Vladimir TarasenkoWranglers (WPG)RW25815231400393273227510.96%364725.910333370000492050.00%15200000.7101000031
8Anthony DuclairWranglers (WPG)LW2571118520141952133813.46%533113.281346380002120052.38%2100001.0800000021
9Taylor RaddyshWranglers (WPG)RW259918960352562154314.52%636814.7201100000000145.83%2400000.9800000003
10Juuso VälimäkiWranglers (WPG)D2011617720915235154.35%3040820.45134526000032010%000000.8300000020
11Tyler TuckerWranglers (WPG)D25710176260702038102718.42%3650020.012351331000133000%000100.6800000122
12John BeecherWranglers (WPG)C257512-34031525471912.96%833813.52000000000221260.15%40400000.7100000100
13Tyson BarrieWranglers (WPG)D2539121040229158920.00%2339415.7600000000014100%000000.6100000001
14Nikolas MatinpaloWranglers (WPG)D25110111021544171113139.09%2439215.690000200004000%000000.5600010001
15Ilya MikheyevWinnipeg JetsRW47310820432861525.00%27619.0201145000001040.00%500012.6300000201
16Cam AtkinsonWranglers (WPG)RW252791100210256128.00%12138.5501105000000051.61%3100000.8400000001
17Erik GustafssonWranglers (WPG)D8145-62012812498.33%1519023.87101513000016100%000000.5200000001
18Riley TufteWranglers (WPG)LW2523516201751231016.67%452220.91101130000000056.52%2300000.1900000000
19Anthony BeauvillierWinnipeg JetsLW31010004518365.56%27525.2900022000160055.56%900000.2600000000
Statistiques d’équipe totales ou en moyenne47515024539516313915680585115030782013.04%243855518.0119335297408000837522958.44%285400150.9215011272420
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)2517440.9143.15148640789070120.7504250311
2Arturs SilovsWranglers (WPG)10001.000020000700000025000
Statistiques d’équipe totales ou en moyenne2617440.9153.111506407891401242525311


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$5,833$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$20,417$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$29,167$No2,500,000$--------2,500,000$--------No--------Lien / Lien NHL
Ben HuttonWranglers (WPG)D321993-04-20CANNo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Cam AtkinsonWranglers (WPG)RW361989-06-05USANo178 Lbs5 ft8NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Connor ZaryWranglers (WPG)C242001-09-25CANNo178 Lbs6 ft0NoNoTrade2025-02-01NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Erik GustafssonWranglers (WPG)D331992-03-14SWENo189 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm1,000,000$100,000$11,667$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$5,833$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$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Justin BrazeauWranglers (WPG)RW281998-02-02CANNo227 Lbs6 ft6NoNoFree AgentNoNo32024-09-05FalseFalsePro & Farm500,000$50,000$5,833$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$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Juuso VälimäkiWranglers (WPG)D271998-10-06FINNo201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Kirill KudryavtsevWranglers (WPG)D222004-02-05RUSNo200 Lbs5 ft11NoNoFree AgentNoNo32025-08-09FalseFalsePro & Farm675,000$67,500$7,875$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$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mason AppletonWranglers (WPG)C301996-01-15USANo194 Lbs6 ft2NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm500,000$50,000$5,833$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$6,417$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$5,833$No---------------------------Lien / Lien NHL
Oliver WahlstromWranglers (WPG)RW252000-06-13USANo205 Lbs6 ft2NoNoTrade2025-11-18NoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Lien / Lien NHL
Parker WotherspoonWranglers (WPG)D281997-08-24CANNo192 Lbs6 ft1NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$5,833$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$5,833$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$6,417$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$5,833$No---------------------------Lien / Lien NHL
Taylor RaddyshWranglers (WPG)RW281998-02-18CANNo200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$11,667$No---------------------------Lien / Lien NHL
Tyler TuckerWranglers (WPG)D262000-03-01CANNo204 Lbs6 ft1NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm850,000$85,000$9,917$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$17,500$No---------------------------Lien / Lien NHL
Vladimir TarasenkoWranglers (WPG)RW341991-12-13RUSNo219 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,000,000$600,000$70,000$No---------------------------Lien / Lien NHL
Zack OstapchukWranglers (WPG)C222003-05-29CANYes212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2727.22200 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
1Aces622011002223-130201000914-532000100139470.583224264101331119672439921054105738173555410016318.75%21576.19%01359278948.73%1281271647.16%631136146.36%168111981835507895431
2Admirals211000001192110000009541010000024-220.5001120311013311196779992105410573873181038100.00%5180.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
3Americiens32100000221482200000017891010000056-140.6672240620013311196715599210541057381665512646116.67%7442.86%01359278948.73%1281271647.16%631136146.36%168111981835507895431
4Barons6310011025187421001001412221000010116590.75025457000133111967260992105410573819749281188112.50%12375.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
5Barracuda521001102120131100010141312100010077070.70021385900133111967221992105410573819959411197114.29%18572.22%01359278948.73%1281271647.16%631136146.36%168111981835507895431
6Broncos1010000034-1000000000001010000034-100.000369001331119674199210541057384812411000%20100.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
7Bruins220000001459110000006331100000082641.00014233700133111967899921054105738611616442150.00%80100.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
8Butter Knives211000001293110000006241010000067-120.50012233500133111967109992105410573870256494125.00%3166.67%01359278948.73%1281271647.16%631136146.36%168111981835507895431
9Canucks5220100025232312000001314-121001000129360.60025487310133111967230992105410573814445331227228.57%15380.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
10Fighting Pandas21100000811-31010000028-61100000063320.500815230013311196783992105410573874174416116.67%2150.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
11Firebirds32100000131122110000089-11100000052340.6671325380013311196711399210541057381042920673266.67%10280.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
12Griffins3300000018108220000009631100000094561.000183048001331119671289921054105738131304646233.33%20100.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
13Ice Bats53100100242132110000089-1320001001612470.700244569001331119672059921054105738188642011611763.64%11463.64%01359278948.73%1281271647.16%631136146.36%168111981835507895431
14Lions522001002429-5210001001091312000001420-650.500244771001331119672749921054105738252773913310330.00%14471.43%01359278948.73%1281271647.16%631136146.36%168111981835507895431
15Lynx1010000034-1000000000001010000034-100.000369001331119674099210541057382613612000%3166.67%01359278948.73%1281271647.16%631136146.36%168111981835507895431
16Marlies31100100121201100000031220100100911-230.500122436001331119671119921054105738131251676800.00%7185.71%01359278948.73%1281271647.16%631136146.36%168111981835507895431
17Nordiks422000001919021100000910-121100000109140.500193554001331119671779921054105738210683810410220.00%13284.62%01359278948.73%1281271647.16%631136146.36%168111981835507895431
18Quacken64001100292093200100018135320001001174110.91729518000133111967235992105410573819250421247228.57%21671.43%01359278948.73%1281271647.16%631136146.36%168111981835507895431
19Roadrunners21100000711-4110000006421010000017-620.5007142100133111967829921054105738762212404125.00%50100.00%01359278948.73%1281271647.16%631136146.36%168111981835507895431
20Tomahawks43000001201192200000084421000001127570.8752040600013311196714399210541057381854434865120.00%8187.50%01359278948.73%1281271647.16%631136146.36%168111981835507895431
21Wombats311010001419-51000100065121100000814-640.6671426400013311196711299210541057381313118708112.50%9366.67%01359278948.73%1281271647.16%631136146.36%168111981835507895431
Total733821047213463034337211003210175149263617110151117115417960.6583466439893013311196731309921054105738283180445715981293224.81%1964776.02%01359278948.73%1281271647.16%631136146.36%168111981835507895431
_Since Last GM Reset733821047213463034337211003210175149263617110151117115417960.6583466439893013311196731309921054105738283180445715981293224.81%1964776.02%01359278948.73%1281271647.16%631136146.36%168111981835507895431
_Vs Conference49261103621227194332613802210112104823133014111159025690.704227421648201331119672116992105410573818715413331086872427.59%1353375.56%01359278948.73%1281271647.16%631136146.36%168111981835507895431
_Vs Division24136034201049771366021106058211700131044395400.833104193297201331119671011992105410573878423118250541921.95%801976.25%01359278948.73%1281271647.16%631136146.36%168111981835507895431

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7396W234664398931302831804457159830
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7338214721346303
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3721103210175149
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3617111511171154
Derniers 10 matchs
WLOTWOTL SOWSOL
800101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1293224.81%1964776.02%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
9921054105738133111967
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
1359278948.73%1281271647.16%631136146.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168111981835507895431


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
117592Wranglers4Nordiks2WSommaire du match
119600Nordiks2Wranglers4WSommaire du match
121610Wranglers3Barracuda2WSommaire du match
122620Wranglers2Admirals4LSommaire du match
124629Americiens4Wranglers9WSommaire du match
126644Wranglers6Ice Bats3WSommaire du match
128651Tomahawks1Wranglers3WSommaire du match
131665Wranglers3Quacken1WSommaire du match
132672Wombats5Wranglers6WXSommaire du match
136691Tomahawks3Wranglers5WSommaire du match
139707Wranglers2Quacken3LXSommaire du match
140714Quacken3Wranglers5WSommaire du match
145733Butter Knives2Wranglers6WSommaire du match
147746Wranglers9Griffins4WSommaire du match
148756Barons2Wranglers4WSommaire du match
151772Griffins4Wranglers6WSommaire du match
153782Wranglers5Canucks3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155788Wranglers5Tomahawks6LXXSommaire du match
157798Griffins2Wranglers3WSommaire du match
158807Wranglers7Tomahawks1WSommaire du match
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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,434,500$ 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$ 1,992,868$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 21 16,597$ 348,537$




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