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Wranglers
GP: 17 | W: 12 | L: 4 | OTL: 1 | P: 25
GF: 54 | GA: 38 | PP%: 25.00% | PK%: 72.92%
DG: Martin Thibeault | Morale : 75 | Moyenne d’équipe : 61
Prochains matchs #238 vs Admirals

Centre de jeu
Wranglers
12-4-1, 25pts
2
FINAL
4 Barracuda
8-6-2, 18pts
Team Stats
W1SéquenceOTL1
6-2-0Fiche domicile5-2-0
6-2-1Fiche domicile3-4-2
6-3-1Derniers 10 matchs6-2-2
3.18Buts par match 3.13
2.24Buts contre par match 2.88
25.00%Pourcentage en avantage numérique20.00%
72.92%Pourcentage en désavantage numérique82.22%
Wranglers
12-4-1, 25pts
4
FINAL
3 Senators
7-9-1, 15pts
Team Stats
W1SéquenceL2
6-2-0Fiche domicile3-4-1
6-2-1Fiche domicile4-5-0
6-3-1Derniers 10 matchs5-5-0
3.18Buts par match 2.24
2.24Buts contre par match 2.71
25.00%Pourcentage en avantage numérique11.90%
72.92%Pourcentage en désavantage numérique73.81%
Wranglers
12-4-1, 25pts
2026-10-29
Admirals
9-4-3, 21pts
Statistiques d’équipe
W1SéquenceW7
6-2-0Fiche domicile6-1-1
6-2-1Fiche visiteur3-3-2
6-3-110 derniers matchs7-1-2
3.18Buts par match 3.00
2.24Buts contre par match 3.00
25.00%Pourcentage en avantage numérique35.09%
72.92%Pourcentage en désavantage numérique83.67%
Admirals
9-4-3, 21pts
2026-10-31
Wranglers
12-4-1, 25pts
Statistiques d’équipe
W7SéquenceW1
6-1-1Fiche domicile6-2-0
3-3-2Fiche visiteur6-2-1
7-1-210 derniers matchs6-3-1
3.00Buts par match 3.18
2.75Buts contre par match 3.18
35.09%Pourcentage en avantage numérique25.00%
83.67%Pourcentage en désavantage numérique72.92%
Senators
7-9-1, 15pts
2026-11-02
Wranglers
12-4-1, 25pts
Statistiques d’équipe
L2SéquenceW1
3-4-1Fiche domicile6-2-0
4-5-0Fiche visiteur6-2-1
5-5-010 derniers matchs6-3-1
2.24Buts par match 3.18
2.71Buts contre par match 3.18
11.90%Pourcentage en avantage numérique25.00%
73.81%Pourcentage en désavantage numérique72.92%
Meneurs d'équipe
Buts
Victor Eklund
8
Passes
Victor Eklund
12
Points
Victor Eklund
20
Plus/Moins
Victor Eklund
13
Nikke KokkoVictoires
Nikke Kokko
11
Nikke KokkoPourcentage d’arrêts
Nikke Kokko
0.91

Statistiques d’équipe
Buts pour
54
3.18 GFG
Tirs pour
466
27.41 Avg
Pourcentage en avantage numérique
25.0%
14 GF
Début de zone offensive
40.9%
Buts contre
38
2.24 GAA
Tirs contre
428
25.18 Avg
Pourcentage en désavantage numérique
72.9%%
13 GA
Début de la zone défensive
39.3%
Informations de l'équipe

Directeur généralMartin Thibeault
EntraîneurRick Kowalsky
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,938
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 70
Espoirs4


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
1Nathan WalkerX100.00934976687080826483626170637375075660321775,000$
2Victor Eklund (R)X100.00673594726685627175706365736062075650193974,167$
3Konsta HeleniusX100.00643789667084866568676162636062075630203975,000$
4Clark BishopX100.00683979617778875864556260597072075620302800,000$
5Josiah SlavinX100.00723988598495865861575663556873075620272800,000$
6Andrei Loshko (R)X100.00683891587780795956546257596264075610213870,000$
7Eriks Mateiko (R)X100.00824281579171695560565359526163075600203932,500$
8Matyas Melovsky (R)X100.00663982587573805661595762556264075600223972,500$
9David SilyeX100.00613982577068815663555458536769075590272800,000$
10Graham SlaggertX100.00603885576971835652545558536769075590272800,000$
11Ian McKinnonX100.00706851547968805356525557536870075580282800,000$
12Ben HuttonX100.00644091668584726430716567537874075660331975,000$
13Ryan UfkoX100.00603691646981876330716260516365075640232925,000$
14Tyler TuckerX100.00746467657883846330686067516668075640262925,000$
15Jake BeanX100.006035916776867465306357625169680756302811,750,000$
16William LagessonX100.00734080628382775930675460477072075630302800,000$
17Maksymilian SzuberX100.00724273618170845830605659486466075610241859,167$
18Turner OttenbreitX100.00734563568266805530545357456971075590292800,000$
Rayé
1Alex GallantX100.00818651547062745356525053517476075570332800,000$
2Yannick TurcotteX100.00716650547762705255535056517072075570302800,000$
3Kyle BurroughsX100.007068726273706961306452554772730756103111,100,000$
4Brandon HickeyX100.00723990568166725530545357457072075590302800,000$
5Jack PeartX100.00613885567066815530545357466365075580232925,000$
MOYENNE D’ÉQUIPE100.0070467860767578594860576053676907561
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
1Nikke Kokko100.0077858180767577767577766267075660222891,666$
2Tomas Suchanek (R)100.0067736973666567666567666369075600233870,000$
Rayé
1Connor D. Murphy100.0066736887656466656466656881075600282800,000$
2Kevin Reidler (R)100.0065716797646365646365646267075590223946,250$
MOYENNE D’ÉQUIPE100.006976718468676968676968647107561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Kowalsky66636169827670CAN541850,000$


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
1Victor EklundWranglers (CGY)RW17812201320303661114913.11%338922.881459470001180146.81%4700001.0323000230
2Colin BlackwellFlamesC/LW/RW1299181260174264123214.06%927222.7322410320000162155.30%26400001.3200000205
3Nathan WalkerWranglers (CGY)LW1761117422067416716458.96%638222.4734717450110350155.56%4500000.8913000210
4Konsta HeleniusWranglers (CGY)C177613-20075246133915.22%637021.780338481011494054.39%45600000.7001000002
5Jake BeanWranglers (CGY)D1728106401117254188.00%2143225.441341651011043110%000000.4600000111
6Ben HuttonWranglers (CGY)D171781020182114477.14%1735020.63101519000041000%000000.4600000010
7William LagessonWranglers (CGY)D171785805520266123.85%1942324.910221550000039000%000000.3800000101
8Andrei LoshkoWranglers (CGY)C1725713202061551513.33%431718.7000000000000045.83%2400000.4400000010
9Clark BishopWranglers (CGY)C174261209413862310.53%436621.551126440000301048.84%34600000.3311000001
10Josiah SlavinWranglers (CGY)LW17336-16015232563012.00%125615.11202317000030065.00%2000000.4711000020
11Ryan UfkoWranglers (CGY)D17055-1406207340%1423013.560001200004000%000000.4300000000
12Graham SlaggertWranglers (CGY)LW17314-1204121441221.43%11508.882137450000120049.04%10400000.5300000000
13Maksymilian SzuberWranglers (CGY)D17134-11754116152166.67%1429717.50101941000033000%000000.2700010000
14Matyas MelovskyWranglers (CGY)C1731420023167818.75%225214.8700000000002065.00%2000000.3200000010
15Eriks MateikoWranglers (CGY)C17101-18027617465.88%023714.0000000000000046.15%1300000.0800000000
16David SilyeWranglers (CGY)C17000000011000%060.3900002000010050.00%20000000000000
17Kyle BurroughsWranglers (CGY)D12000040310100%1262.210000100005000%00000000000000
18Turner OttenbreitWranglers (CGY)D6000020000000%000.130000000000000%00000000000000
19Tyler TuckerWranglers (CGY)D50001601483000%88216.430000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne29051801316097534636645410431611.23%130484716.72142034106452123233710452.57%134100000.545901081010
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
1Nikke KokkoWranglers (CGY)1711410.9102.2698343374100000.4005170300
2Tomas SuchanekWranglers (CGY)21001.000052000180000.6005017000
Statistiques d’équipe totales ou en moyenne1912410.9142.1410364337428000101717300


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
Alex GallantWranglers (CGY)LW331992-12-08CANNo177 Lbs6 ft0NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Andrei LoshkoWranglers (CGY)C212004-10-07BLRYes184 Lbs6 ft2NoNoDraftNoNo32026-05-25FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Ben HuttonWranglers (CGY)D331993-04-20CANNo209 Lbs6 ft3NoNoTrade2026-08-01NoNo12025-07-04FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Brandon HickeyWranglers (CGY)D301996-04-13CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Clark BishopWranglers (CGY)C301996-03-29CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Connor D. MurphyWranglers (CGY)G281998-09-01USANo201 Lbs6 ft4NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
David SilyeWranglers (CGY)C271999-03-02CANNo187 Lbs5 ft11NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Eriks MateikoWranglers (CGY)C202005-11-18LVAYes208 Lbs6 ft5NoNoDraftNoNo32026-05-25FalseFalsePro & Farm932,500$0$0$No932,500$932,500$-------932,500$932,500$-------NoNo-------Lien
Graham SlaggertWranglers (CGY)LW271999-04-06USANo183 Lbs5 ft11NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Ian McKinnonWranglers (CGY)C281998-03-05CANNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Jack PeartWranglers (CGY)D232003-05-15USANo186 Lbs5 ft11NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jake BeanWranglers (CGY)D281998-06-09CANNo191 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm1,750,000$0$0$No---------------------------Lien / Lien NHL
Josiah SlavinWranglers (CGY)LW271998-12-31USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Kevin ReidlerWranglers (CGY)G222004-09-02SWEYes209 Lbs6 ft7NoNoDraftNoNo32026-06-30FalseFalsePro & Farm946,250$0$0$No946,250$946,250$-------946,250$946,250$-------NoNo-------Lien
Konsta HeleniusWranglers (CGY)C202006-05-11FINNo190 Lbs5 ft11NoNoFantasy DraftNoNo32025-07-04FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien / Lien NHL
Kyle BurroughsWranglers (CGY)D311995-07-12CANNo193 Lbs6 ft0NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien / Lien NHL
Maksymilian SzuberWranglers (CGY)D242002-08-25DEUNo190 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm859,167$0$0$No---------------------------Lien / Lien NHL
Matyas MelovskyWranglers (CGY)C222004-05-25CZEYes190 Lbs6 ft1NoNoDraftNoNo32026-06-30FalseFalsePro & Farm972,500$0$0$No972,500$972,500$-------972,500$972,500$-------NoNo-------Lien
Nathan WalkerWranglers (CGY)LW321994-02-07AUSNo191 Lbs5 ft9NoNoFantasy DraftNoNo12025-07-04FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Nikke KokkoWranglers (CGY)G222004-03-14FINNo184 Lbs6 ft3NoNoFantasy DraftNoNo22025-07-08FalseFalsePro & Farm891,666$0$0$No891,666$--------891,666$--------No--------Lien / Lien NHL
Ryan UfkoWranglers (CGY)D232003-05-07USANo174 Lbs6 ft0NoNoFantasy DraftNoNo22025-07-04FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Tomas SuchanekWranglers (CGY)G232003-04-30CZEYes180 Lbs6 ft1NoNoDraftNoNo32026-06-30FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Turner OttenbreitWranglers (CGY)D291997-07-09CANNo192 Lbs6 ft3NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Tyler TuckerWranglers (CGY)D262000-03-01CANNo204 Lbs6 ft1NoNoFantasy DraftNoNo22026-05-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Victor EklundWranglers (CGY)RW192006-10-03SWEYes161 Lbs5 ft11NoNoAssign ManuallyNoNo32026-05-26FalseFalsePro & Farm974,167$0$0$No974,167$974,167$-------974,167$974,167$-------NoNo-------Lien
William LagessonWranglers (CGY)D301996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Yannick TurcotteWranglers (CGY)LW301996-06-25CANNo199 Lbs6 ft1NoNoAssign ManuallyNoNo22026-01-21FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.22192 Lbs6 ft12.07906,157$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Victor EklundGraham SlaggertAndrei Loshko40122
2Nathan WalkerClark BishopMatyas Melovsky30122
3Josiah SlavinKonsta HeleniusEriks Mateiko20122
4Clark BishopKonsta HeleniusNathan Walker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWilliam Lagesson40122
2Ben HuttonTyler Tucker30122
3Maksymilian SzuberRyan Ufko20122
4William LagessonJake Bean10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josiah SlavinKonsta HeleniusVictor Eklund60122
2Nathan WalkerClark BishopGraham Slaggert40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWilliam Lagesson60122
2Maksymilian SzuberBen Hutton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Konsta HeleniusNathan Walker60122
2Victor EklundClark Bishop40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWilliam Lagesson60122
2Maksymilian SzuberBen Hutton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Konsta Helenius60122Jake BeanWilliam Lagesson60122
2Nathan Walker40122Ryan UfkoMaksymilian Szuber40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Clark BishopNathan Walker60122
2Konsta HeleniusVictor Eklund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWilliam Lagesson60122
2Ben HuttonMaksymilian Szuber40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Konsta HeleniusNathan WalkerVictor EklundJake BeanWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Konsta HeleniusNathan WalkerVictor EklundJake BeanWilliam Lagesson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graham Slaggert, Nathan Walker, Konsta HeleniusGraham Slaggert, Nathan WalkerKonsta Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maksymilian Szuber, Jake Bean, William LagessonMaksymilian SzuberJake Bean, William Lagesson
Tirs de pénalité
Victor Eklund, Nathan Walker, Konsta Helenius, Clark Bishop, Josiah Slavin
Gardien
#1 : Nikke Kokko, #2 : Tomas Suchanek
Lignes d’attaque personnalisées en prolongation
Victor Eklund, Nathan Walker, Andrei Loshko, Matyas Melovsky, Eriks Mateiko, Clark Bishop, Konsta Helenius, Josiah Slavin, David Silye, Graham Slaggert
Lignes de défense personnalisées en prolongation
Jake Bean, William Lagesson, Ryan Ufko, Ben Hutton, Maksymilian Szuber


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
1Barracuda1010000024-2000000000001010000024-200.000246001914177231581591372135108213133.33%3166.67%028853853.53%27551853.09%14226154.41%413284397125226114
2Canucks521020001284210010008353110100045-180.80012193102191417712215815913721121463411415320.00%16287.50%028853853.53%27551853.09%14226154.41%413284397125226114
3Condors1000000145-1000000000001000000145-110.5004812001914177251581591372130782811100.00%4325.00%128853853.53%27551853.09%14226154.41%413284397125226114
4Eagles2010001045-12010001045-10000000000020.5004590019141776215815913721481116349111.11%8275.00%028853853.53%27551853.09%14226154.41%413284397125226114
5Griffins11000000505000000000001100000050521.000591401191417730158159137212540176350.00%000%028853853.53%27551853.09%14226154.41%413284397125226114
6Gulls11000000321110000003210000000000021.00034700191417724158159137212416924300.00%20100.00%028853853.53%27551853.09%14226154.41%413284397125226114
7Penguins11000000514110000005140000000000021.000581300191417728158159137212262194250.00%10100.00%028853853.53%27551853.09%14226154.41%413284397125226114
8Reign11000000523000000000001100000052321.00059140019141774615815913721197226400.00%110.00%028853853.53%27551853.09%14226154.41%413284397125226114
9Rocket10000010541100000105410000000000021.00058130019141772815815913721227823200.00%4250.00%028853853.53%27551853.09%14226154.41%413284397125226114
10Senators321000009721010000012-12200000085340.667917260019141777815815913721822118609333.33%9277.78%028853853.53%27551853.09%14226154.41%413284397125226114
Total17840202154381683201020261799520100128217250.735549114503191417746615815913721428135105366561425.00%481372.92%128853853.53%27551853.09%14226154.41%413284397125226114
_Since Last GM Reset17840202154381683201020261799520100128217250.735549114503191417746615815913721428135105366561425.00%481372.92%128853853.53%27551853.09%14226154.41%413284397125226114
_Vs Conference114302011302645210101015105622010011516-1150.68230497902191417730215815913721277977724735617.14%34973.53%128853853.53%27551853.09%14226154.41%413284397125226114
_Vs Division9420200126215320010001156622010011516-1130.72226447002191417724015815913721229866121326519.23%26773.08%128853853.53%27551853.09%14226154.41%413284397125226114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1725W1549114546642813510536603
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
178420215438
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83210202617
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95210012821
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
561425.00%481372.92%1
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
158159137211914177
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
28853853.53%27551853.09%14226154.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
413284397125226114


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
1 - 2026-09-294Canucks3Wranglers4WXSommaire du match
3 - 2026-10-0126Wranglers5Griffins0WSommaire du match
4 - 2026-10-0232Wranglers4Senators2WSommaire du match
7 - 2026-10-0548Wranglers0Canucks4LSommaire du match
8 - 2026-10-0651Canucks0Wranglers4WSommaire du match
10 - 2026-10-0870Gulls2Wranglers3WSommaire du match
13 - 2026-10-1193Eagles2Wranglers3WXXSommaire du match
14 - 2026-10-12108Wranglers5Reign2WSommaire du match
16 - 2026-10-14121Wranglers4Condors5LXXSommaire du match
17 - 2026-10-15129Senators2Wranglers1LSommaire du match
19 - 2026-10-17144Rocket4Wranglers5WXXSommaire du match
21 - 2026-10-19158Eagles3Wranglers1LSommaire du match
22 - 2026-10-20170Wranglers2Canucks1WXSommaire du match
24 - 2026-10-22189Wranglers2Canucks0WSommaire du match
26 - 2026-10-24197Penguins1Wranglers5WSommaire du match
27 - 2026-10-25210Wranglers2Barracuda4LSommaire du match
29 - 2026-10-27224Wranglers4Senators3WSommaire du match
31 - 2026-10-29238Wranglers-Admirals-
33 - 2026-10-31246Admirals-Wranglers-
35 - 2026-11-02263Senators-Wranglers-
37 - 2026-11-04280Wranglers-Islanders-
40 - 2026-11-07295Monsters-Wranglers-
41 - 2026-11-08300Checkers-Wranglers-
43 - 2026-11-10322Wranglers-Crunch-
45 - 2026-11-12336Wranglers-Monsters-
47 - 2026-11-14346Bears-Wranglers-
48 - 2026-11-15358Wranglers-Canucks-
50 - 2026-11-17368Wranglers-Moose-
51 - 2026-11-18372Condors-Wranglers-
63 - 2026-11-30393Wranglers-Wolf Pack-
65 - 2026-12-02411Wranglers-Thunderbirds-
66 - 2026-12-03417Phantoms-Wranglers-
68 - 2026-12-05435Wranglers-Comets-
70 - 2026-12-07446Condors-Wranglers-
72 - 2026-12-09466Islanders-Wranglers-
73 - 2026-12-10476Wranglers-IceHogs-
75 - 2026-12-12488Wranglers-Checkers-
77 - 2026-12-14509Wolf Pack-Wranglers-
78 - 2026-12-15515Wranglers-Condors-
80 - 2026-12-17527Moose-Wranglers-
81 - 2026-12-18543Wranglers-Barracuda-
83 - 2026-12-20554IceHogs-Wranglers-
95 - 2027-01-01571Wranglers-Bears-
97 - 2027-01-03578Crunch-Wranglers-
100 - 2027-01-06607Wranglers-Bruins-
101 - 2027-01-07616Wild-Wranglers-
103 - 2027-01-09625Eagles-Wranglers-
105 - 2027-01-11651Wranglers-Wild-
106 - 2027-01-12657Wranglers-Eagles-
108 - 2027-01-14674Wranglers-Senators-
109 - 2027-01-15676Canucks-Wranglers-
112 - 2027-01-18704Thunderbirds-Wranglers-
113 - 2027-01-19710Wranglers-Penguins-
116 - 2027-01-22723Penguins-Wranglers-
118 - 2027-01-24743Wranglers-Reign-
119 - 2027-01-25747Gulls-Wranglers-
121 - 2027-01-27765Wranglers-Eagles-
123 - 2027-01-29782Wranglers-Rocket-
124 - 2027-01-30785Crunch-Wranglers-
127 - 2027-02-02811Stars-Wranglers-
130 - 2027-02-05827Comets-Wranglers-
132 - 2027-02-07851Wranglers-Gulls-
134 - 2027-02-09860Canucks-Wranglers-
135 - 2027-02-10874Silver Knights-Wranglers-
138 - 2027-02-13896Griffins-Wranglers-
141 - 2027-02-16921Wranglers-Gulls-
142 - 2027-02-17923Bruins-Wranglers-
144 - 2027-02-19945Wranglers-Stars-
147 - 2027-02-22967Marlies-Wranglers-
148 - 2027-02-23976Wranglers-Marlies-
151 - 2027-02-26995Griffins-Wranglers-
153 - 2027-02-281017Wranglers-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2027-03-011022Silver Knights-Wranglers-
156 - 2027-03-031038Wranglers-Silver Knights-
158 - 2027-03-051049Barracuda-Wranglers-
160 - 2027-03-071060Barracuda-Wranglers-
161 - 2027-03-081075Wranglers-Griffins-
163 - 2027-03-101088Wranglers-Canucks-
165 - 2027-03-121100Reign-Wranglers-
166 - 2027-03-131107Wranglers-Griffins-
168 - 2027-03-151120Wranglers-Silver Knights-
172 - 2027-03-191146Reign-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance15,8047,696
Assistance PCT98.78%96.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2938 - 97.92% 79,394$635,152$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
576,514$ 2,446,625$ 2,446,625$ 850,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 429,964$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,620,002$ 144 18,946$ 2,728,224$




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