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Wranglers
GP: 23 | W: 13 | L: 9 | OTL: 1 | P: 27
GF: 79 | GA: 74 | PP%: 22.22% | PK%: 75.56%
DG: Guy Brisson | Morale : 54 | Moyenne d’équipe : 63
Prochains matchs #353 vs Wolves

Centre de jeu
Wranglers
13-9-1, 27pts
4
5 Roadrunners
15-6-0, 30pts
Team Stats
W1SéquenceSOW1
6-5-0Fiche domicile7-4-0
7-4-1Fiche domicile8-2-0
7-2-1Derniers 10 matchs7-3-0
3.43Buts par match 3.76
3.22Buts contre par match 3.10
22.22%Pourcentage en avantage numérique31.82%
75.56%Pourcentage en désavantage numérique74.55%
Marlies
14-4-3, 31pts
2
6 Wranglers
13-9-1, 27pts
Team Stats
OTL1SéquenceW1
7-2-3Fiche domicile6-5-0
7-2-0Fiche domicile7-4-1
6-3-1Derniers 10 matchs7-2-1
3.24Buts par match 3.43
2.62Buts contre par match 3.22
29.03%Pourcentage en avantage numérique22.22%
81.54%Pourcentage en désavantage numérique75.56%
Wranglers
13-9-1, 27pts
2025-10-12
Wolves
9-10-3, 21pts
Statistiques d’équipe
W1SéquenceL1
6-5-0Fiche domicile5-4-2
7-4-1Fiche visiteur4-6-1
7-2-110 derniers matchs3-6-1
3.43Buts par match 2.45
3.22Buts contre par match 2.45
22.22%Pourcentage en avantage numérique17.54%
75.56%Pourcentage en désavantage numérique75.47%
SenatorsF
11-8-3, 25pts
2025-10-13
Wranglers
13-9-1, 27pts
Statistiques d’équipe
L1SéquenceW1
4-6-1Fiche domicile6-5-0
7-2-2Fiche visiteur7-4-1
4-3-310 derniers matchs7-2-1
3.36Buts par match 3.43
2.91Buts contre par match 3.43
18.84%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique75.56%
Moose
15-8-0, 30pts
2025-10-17
Wranglers
13-9-1, 27pts
Statistiques d’équipe
W1SéquenceW1
7-4-0Fiche domicile6-5-0
8-4-0Fiche visiteur7-4-1
7-3-010 derniers matchs7-2-1
3.70Buts par match 3.43
2.70Buts contre par match 3.43
13.64%Pourcentage en avantage numérique22.22%
74.24%Pourcentage en désavantage numérique75.56%
Meneurs d'équipe
Buts
Hunter Shinkaruk
9
Passes
Austin Strand
16
Points
Mattias Norlinder
22
Plus/Moins
Alex Belzile
13
Victoires
Dustin Tokarski
11
Pourcentage d’arrêts
Mason Beaupit
0.912

Statistiques d’équipe
Buts pour
79
3.43 GFG
Tirs pour
700
30.43 Avg
Pourcentage en avantage numérique
22.2%
16 GF
Début de zone offensive
39.4%
Buts contre
74
3.22 GAA
Tirs contre
730
31.74 Avg
Pourcentage en désavantage numérique
75.6%%
22 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralGuy Brisson
EntraîneurBrent Sutter
DivisionDivision Nord-Ouest
ConférenceConference 2
CapitaineMichael Bunting
Assistant #1Jake Walman
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite Contrat54 / 56
Espoirs14


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
1Michael Bunting (C)0XX100.0069457074718190706471726969696954526703112,000,000$
2Colton Dach (R)0X100.007765867673728570687169726355457060650233900,000$
3Samuel Helenius (R)0X100.007570887475688270716770716455457066650233900,000$
4Otto Makinen0X100.006245937268747871756767706057505456640281900,000$
5Hunter Shinkaruk0XX100.0065469271697574706769697065595138606403211,100,000$
6Anton Slepyshev0XX100.0059449970757274705765687164594834446303221,100,000$
7Josh Samanski (R)0X100.006845907270707372616869736345457064630241900,000$
8Curtis Mckenzie0XX100.008364846873737967606264696062472260630351905,000$
9Adam Beckman0XX100.006845827269737372597070676146466660630252750,000$
10Gregory Hofmann0XX100.005141977171727469706765706170553059630331900,000$
11Alex Belzile0XXX100.006348927073717069576666706452482654620352700,000$
12Jordan Bellerive0X100.006345887268677069726762665956505839620272700,000$
13Austin Strand0X100.0070468673767977734566647456604758606602931,300,000$
14Mattias Norlinder0X100.006545887370797973456967755656526260660261750,000$
15Oliver Kylington0X100.00654588757178747045706471606949584466X02911,000,000$
16Charle-Edouard D'Astous (R)0X100.006950677272808875457569736650454052650281900,000$
17Arber Xhekaj0X100.0079666976777783604569677160614662526502521,500,000$
18Adam Ginning0X100.007357767372767670456966775953466250650261750,000$
Rayé
1Fredrik Forsberg0XXX100.006148887670706665636259696058505427610291700,000$
2Ryder Rolston0XX100.006245917268697267596666676048456627610242750,000$
3Simon Knak0XX100.006245917269696969596465696047456627610242750,000$
4Cliff Pu0XXX100.006145957171686569666762676046465027610281700,000$
5Eetu Tuulola0XX100.007757647073667265686565616453465427610282800,000$
6Samu Salminen (R)0X100.006948747170707065716662706045507047610233750,000$
7Daniel Catenacci0X100.006145966970676467606263696247453027600331700,000$
8Tyler Lewington0X100.0083727569727473704569677165604738376503121,000,000$
9Calvin de Haan0X100.00624593697169696945686470628864222765X03521,000,000$
10Jake Walman (A)0X100.0069458372687878734570746960635046416503021,200,000$
11Ty Gallagher (R)0X100.006648797270505068456768716545457027610233750,000$
12Joseph Cecconi0X100.007245807072726462456360695649465420610292600,000$
13Isaac Belliveau (R)0X100.007253657270505066456666706345457027600233750,000$
14Evan Nause (R)0X100.007251696870707059456361675745457027600233750,000$
MOYENNE D’ÉQUIPE100.00685084727171736957676670615549534463
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
1Dustin Tokarski0100.007681797678768279808279595918556503731,200,000$
2Mason Beaupit0100.00767374807475777674777846467063610232750,000$
Rayé
1Austin Lotz31100.00797670757970777272767145503842600312650,000$
MOYENNE D’ÉQUIPE100.0077777477777479767578765052425362
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brent Sutter76806666999934CAN632100,000$


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
1Mattias NorlinderWranglers (Cal)D23715221012030194992314.29%2549421.493472358000062110%000000.8900000022
2Austin StrandWranglers (Cal)D23116171130029214510242.22%2049921.730441959011057000%000000.6800000001
3Alex BelzileWranglers (Cal)C/LW/RW206111713135121633102918.18%727213.61134728000061045.96%16100001.2500100200
4Hunter ShinkarukWranglers (Cal)LW/RW239716-54091458154415.52%238716.8642614610000291054.29%3500000.8300000202
5Adam GinningWranglers (Cal)D213101321002593114239.68%2543120.553251438000155010%000000.6000000000
6Adam BeckmanWranglers (Cal)LW/RW2385132180311943152818.60%230913.4500002000002130.00%3000010.8400000301
7Gregory HofmannWranglers (Cal)LW/RW21671380031144122113.64%124811.83112615000000050.00%2400001.0512000013
8Otto MakinenWranglers (Cal)C22561146073031132316.13%130814.0200015000021150.74%33700000.7100000001
9Charles HudonWranglers (Cal)LW/RW20561134021165713318.77%731615.8101114491013391054.17%2400000.7002000100
10Antti SuomelaFlamesC14268020921278287.41%223817.031236310000180053.06%29400000.6700000001
11Colton DachWranglers (Cal)C23268110033444213354.76%740717.711348580000631050.17%59400000.3902000010
12Samu SalminenWranglers (Cal)C1435876023141832016.67%619313.80000280000340152.38%14700000.8300000110
13Oliver KylingtonWranglers (Cal)D11268-220741751011.76%820919.052241225000010000%000000.7600000020
14Josh SamanskiFlamesRW16347-120161028121410.71%022814.28011110000100026.32%1900000.6100000000
15Charle-Edouard D'AstousWranglers (Cal)D19156-4100211218395.56%2235318.5900001000033000%000000.3400000000
16Arber XhekajWranglers (Cal)D192461220367153913.33%2134017.9300041600005010%000000.3500000000
17Michael BuntingWranglers (Cal)LW/RW1533606022113615258.33%628919.300004390000350038.89%5400000.4100000010
18Curtis MckenzieWranglers (Cal)LW/RW23336-818043102693111.54%135115.29011661000001129.63%2700000.3400000000
19Anton SlepyshevWranglers (Cal)LW/RW1923582055359155.71%221211.2100000000070056.25%1600000.4700000010
20Samuel HeleniusWranglers (Cal)C13235-67510252110159.52%018614.32000000001271052.02%24800000.5401100010
21Tyler LewingtonWranglers (Cal)D40332601104130%28220.6401127000010000%000000.7300000000
22Calvin de HaanWranglers (Cal)D51230004721150.00%109118.380000200006100%000000.6500000000
23Jake WalmanWranglers (Cal)D13022-120108188160%2026120.100111134000032000%000000.1500000000
24Jordan BelleriveWranglers (Cal)C9112-1200221250.00%0485.3900000000000050.00%600000.8200000000
25Oscar LindbergFlamesC/LW/RW1000200110020%01919.4000001000000050.00%200000011000000
Statistiques d’équipe totales ou en moyenne41477139216461941041833670021248111.00%197678216.38162844154610112555111749.80%203600010.642820091011
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
1Dustin TokarskiWranglers (Cal)1711410.8933.1896220514760101.0003176011
2Mason BeaupitWranglers (Cal)72400.9123.1136701192160001.0005516200
3Austin LotzWranglers (Cal)10100.8954.0759004380000011000
Statistiques d’équipe totales ou en moyenne2513910.8993.201388217473001082323211


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Adam BeckmanWranglers (Cal)LW/RW252001-05-10CANNo182 Lbs6 ft2NoNoTrade2026-01-27NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Adam GinningWranglers (Cal)D262000-01-13SWENo196 Lbs6 ft3NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Alex BelzileWranglers (Cal)C/LW/RW351991-08-31CANNo205 Lbs6 ft0NoNoFree AgentNoNo22026-07-08FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Anton SlepyshevWranglers (Cal)LW/RW321994-05-13RUSNo211 Lbs6 ft2NoNoFree AgentNoNo22025-07-21FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Arber XhekajWranglers (Cal)D252001-01-30CANNo240 Lbs6 ft4NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Austin LotzWranglers (Cal)G311995-05-27CANNo187 Lbs6 ft0NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Austin StrandWranglers (Cal)D291997-04-17CANNo216 Lbs6 ft4NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Calvin de HaanWranglers (Cal)D351991-05-09CANNo192 Lbs6 ft1NoYesFree AgentNoNo22026-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Charle-Edouard D'AstousWranglers (Cal)D281998-04-21CANYes211 Lbs6 ft2NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Cliff PuWranglers (Cal)C/LW/RW281998-06-03CANNo185 Lbs6 ft2NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Colton DachWranglers (Cal)C232003-01-04CANYes218 Lbs6 ft4NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Curtis MckenzieWranglers (Cal)LW/RW351991-02-11CANNo205 Lbs6 ft2NoNoFree AgentNoNo12025-07-06FalseFalsePro & Farm905,000$0$0$No---------------------------Lien
Daniel CatenacciWranglers (Cal)C331993-03-09CANNo194 Lbs5 ft10NoNoFree AgentNoNo12025-07-21FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Dustin TokarskiWranglers (Cal)G371989-09-16CANNo198 Lbs6 ft0NoNoFree AgentNoNo32026-07-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Eetu TuulolaWranglers (Cal)LW/RW281998-03-17FINNo225 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Evan NauseWranglers (Cal)D232003-01-20CANYes195 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Fredrik ForsbergWranglers (Cal)C/LW/RW291996-12-12SWENo185 Lbs5 ft11NoNoN/ANoNo12025-05-28FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Gregory HofmannWranglers (Cal)LW/RW331992-11-13CHENo194 Lbs6 ft0NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Hunter ShinkarukWranglers (Cal)LW/RW321994-10-13CANNo180 Lbs5 ft10NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Isaac BelliveauWranglers (Cal)D232002-11-26CANYes185 Lbs6 ft2NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jake WalmanWranglers (Cal)D301996-02-20CANNo170 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Jordan BelleriveWranglers (Cal)C271999-05-02CANNo195 Lbs5 ft10NoNoTrade2025-06-05NoNo22026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Joseph CecconiWranglers (Cal)D291997-03-23USANo209 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Josh SamanskiFlamesRW242002-03-22DEUYes195 Lbs6 ft2NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$900,000$670,109$No---------900,000$900,000$----------------Lien
Mason BeaupitWranglers (Cal)G232003-09-23CANNo188 Lbs6 ft5NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mattias NorlinderWranglers (Cal)D262000-04-12SWENo191 Lbs6 ft0NoNoTrade2025-05-23NoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Michael BuntingWranglers (Cal)LW/RW311995-09-17CANNo192 Lbs6 ft0NoNoTrade2024-12-20NoNo12025-05-28FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Oliver KylingtonWranglers (Cal)D291997-05-19SWENo181 Lbs6 ft0NoYesN/ANoNo12026-04-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Otto MakinenWranglers (Cal)C281998-05-21FINNo178 Lbs6 ft1NoNoN/ANoNo12025-05-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Ryder RolstonWranglers (Cal)LW/RW242001-10-31USANo175 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Samu SalminenWranglers (Cal)C232003-04-09FINYes186 Lbs6 ft5NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Samuel HeleniusWranglers (Cal)C232002-11-26USAYes225 Lbs6 ft6NoNoProspectNoNo32026-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Simon KnakWranglers (Cal)LW/RW242002-01-27SUINo185 Lbs6 ft1NoNoTrade2025-06-05NoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ty GallagherWranglers (Cal)D232003-03-06USAYes190 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Tyler LewingtonWranglers (Cal)D311994-12-05CANNo198 Lbs6 ft1NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3528.14196 Lbs6 ft11.86907,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BuntingColton DachJosh Samanski25122
2Hunter ShinkarukSamuel HeleniusCurtis Mckenzie25032
3Adam BeckmanOtto MakinenAnton Slepyshev25032
4Jordan BelleriveAlex BelzileGregory Hofmann25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand33023
2Adam GinningArber Xhekaj33032
3Charle-Edouard D'AstousOliver Kylington33032
4Mattias NorlinderAustin Strand1023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh SamanskiColton DachMichael Bunting50014
2Hunter ShinkarukAlex BelzileCurtis Mckenzie50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50014
2Arber XhekajOliver Kylington50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusAlex Belzile50041
2Colton DachJosh Samanski50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50140
2Adam GinningCharle-Edouard D'Astous50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Samuel Helenius50041Mattias NorlinderAustin Strand50131
2Colton Dach50041Oliver KylingtonCharle-Edouard D'Astous50131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Otto MakinenMichael Bunting50032
2Colton DachAlex Belzile50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias NorlinderAustin Strand50032
2Arber XhekajAdam Ginning50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh SamanskiColton DachAlex BelzileMattias NorlinderAustin Strand
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gregory HofmannAlex BelzileAdam BeckmanAdam GinningCharle-Edouard D'Astous
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Beckman, Josh Samanski, Colton DachAdam Beckman, Samuel HeleniusAnton Slepyshev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Norlinder, Austin Strand, Arber XhekajMattias NorlinderMattias Norlinder, Austin Strand
Tirs de pénalité
Gregory Hofmann, Colton Dach, Josh Samanski, Adam Beckman, Hunter Shinkaruk
Gardien
#1 : Mason Beaupit, #2 : Dustin Tokarski, #3 : 0


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
TotalDomicile Visiteur
# 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 RI
1Admirals11000000303110000003030000000000021.0003690131232323121323424318338625200.00%30100.00%040179650.38%40883748.75%20538752.97%546370540174304149
2Barracuda11000000514000000000001100000051421.0005914003123232322132342431826910153133.33%5180.00%040179650.38%40883748.75%20538752.97%546370540174304149
3Canucks1010000023-1000000000001010000023-100.000235003123232262132342431846128183133.33%4250.00%040179650.38%40883748.75%20538752.97%546370540174304149
4Condors1010000014-31010000014-30000000000000.00011200312323221213234243183614920100.00%2150.00%040179650.38%40883748.75%20538752.97%546370540174304149
5Crunch11000000321000000000001100000032121.0003580031232323421323424318327413400.00%20100.00%040179650.38%40883748.75%20538752.97%546370540174304149
6Eagles22000000844110000005231100000032141.000814220031232325121323424318561312426233.33%5180.00%140179650.38%40883748.75%20538752.97%546370540174304149
7Firebirds1010000013-2000000000001010000013-200.0001230031232323021323424318277817300.00%40100.00%040179650.38%40883748.75%20538752.97%546370540174304149
8Icehogs1010000036-3000000000001010000036-300.0003690031232322421323424318411110134250.00%5340.00%040179650.38%40883748.75%20538752.97%546370540174304149
9Marlies11000000624110000006240000000000021.00061218003123232282132342431831613143266.67%4175.00%040179650.38%40883748.75%20538752.97%546370540174304149
10Monsters11000000321000000000001100000032121.000358003123232202132342431834121017100.00%5260.00%040179650.38%40883748.75%20538752.97%546370540174304149
11Reign32000010161242200000011831000001054161.00016294500312323210321323424318892628519222.22%14192.86%040179650.38%40883748.75%20538752.97%546370540174304149
12Roadrunners1010000045-1000000000001010000045-100.000481200312323219213234243183351021100.00%5340.00%040179650.38%40883748.75%20538752.97%546370540174304149
13Silver Knights622001101922-330200010814-632000100118370.58319315000312323221121323424318175505412127518.52%26484.62%040179650.38%40883748.75%20538752.97%546370540174304149
14StarsF1010000024-21010000024-20000000000000.00023500312323227213234243183376123133.33%3233.33%040179650.38%40883748.75%20538752.97%546370540174304149
15Thunderbirds1010000034-11010000034-10000000000000.00035800312323243213234243183810819200.00%3166.67%040179650.38%40883748.75%20538752.97%546370540174304149
Total2311900120797451155000103938112640011040364270.5877913921801312323270021323424318730197196418721622.22%902275.56%140179650.38%40883748.75%20538752.97%546370540174304149
_Since Last GM Reset2311900120797451155000103938112640011040364270.5877913921801312323270021323424318730197196418721622.22%902275.56%140179650.38%40883748.75%20538752.97%546370540174304149
_Vs Conference209800120696721045000103336-310530011036315230.5756912018901312323260821323424318640177171374621422.58%802173.75%140179650.38%40883748.75%20538752.97%546370540174304149
_Vs Division1344001104445-1613000102026-67310010024195110.42344751190031232324232132342431839911811724246919.57%55983.64%040179650.38%40883748.75%20538752.97%546370540174304149

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2327W17913921870073019719641801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2311901207974
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115500103938
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126401104036
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721622.22%902275.56%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
213234243183123232
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
40179650.38%40883748.75%20538752.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
546370540174304149


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 - 2025-08-264Silver Knights6Wranglers0LSommaire du match
2 - 2025-08-2713Condors4Wranglers1LSommaire du match
3 - 2025-08-2826Wranglers3Eagles2WSommaire du match
6 - 2025-08-3149Silver Knights3Wranglers2LSommaire du match
9 - 2025-09-0372Wranglers4Silver Knights2WSommaire du match
11 - 2025-09-0594Wranglers2Canucks3LSommaire du match
12 - 2025-09-06102Eagles2Wranglers5WSommaire du match
15 - 2025-09-09122Wranglers3Icehogs6LSommaire du match
17 - 2025-09-11132StarsF4Wranglers2LSommaire du match
19 - 2025-09-13150Wranglers3Crunch2WSommaire du match
21 - 2025-09-15165Silver Knights5Wranglers6WXXSommaire du match
24 - 2025-09-18185Wranglers5Reign4WXXSommaire du match
26 - 2025-09-20199Thunderbirds4Wranglers3LSommaire du match
28 - 2025-09-22217Wranglers3Monsters2WSommaire du match
30 - 2025-09-24229Admirals0Wranglers3WSommaire du match
32 - 2025-09-26248Wranglers4Silver Knights2WSommaire du match
34 - 2025-09-28258Wranglers5Barracuda1WSommaire du match
35 - 2025-09-29269Reign4Wranglers5WSommaire du match
38 - 2025-10-02288Wranglers3Silver Knights4LXSommaire du match
40 - 2025-10-04299Reign4Wranglers6WSommaire du match
42 - 2025-10-06315Wranglers1Firebirds3LSommaire du match
44 - 2025-10-08324Wranglers4Roadrunners5LSommaire du match
45 - 2025-10-09334Marlies2Wranglers6WSommaire du match
48 - 2025-10-12353Wranglers-Wolves-
49 - 2025-10-13366SenatorsF-Wranglers-
53 - 2025-10-17391Moose-Wranglers-
56 - 2025-10-20417Barracuda-Wranglers-
58 - 2025-10-22434Wranglers-Roadrunners-
60 - 2025-10-24449Admirals-Wranglers-
62 - 2025-10-26464Wranglers-Monsters-
65 - 2025-10-29479Wranglers-PenguinsF-
66 - 2025-10-30491Bears-Wranglers-
69 - 2025-11-02511Wranglers-Comets-
70 - 2025-11-03523Gulls-Wranglers-
72 - 2025-11-05540Wranglers-Iowa Wild-
75 - 2025-11-08556Silver Knights-Wranglers-
77 - 2025-11-10577Griffins-Wranglers-
78 - 2025-11-11587Wranglers-Wolf Pack-
81 - 2025-11-14606Wranglers-Canucks-
82 - 2025-11-15614Firebirds-Wranglers-
85 - 2025-11-18639Wranglers-Marlies-
87 - 2025-11-20650Eagles-Wranglers-
89 - 2025-11-22662Wranglers-Reign-
91 - 2025-11-24678Griffins-Wranglers-
94 - 2025-11-27700Wranglers-Icehogs-
96 - 2025-11-29712Rocket-Wranglers-
100 - 2025-12-03739Thunderbirds-Wranglers-
103 - 2025-12-06766Iowa Wild-Wranglers-
105 - 2025-12-08778Wranglers-Islanders-
108 - 2025-12-11796Americans-Wranglers-
111 - 2025-12-14819Wranglers-Eagles-
113 - 2025-12-16832StarsF-Wranglers-
115 - 2025-12-18850Wranglers-Crunch-
117 - 2025-12-20862Barracuda-Wranglers-
120 - 2025-12-23889Canucks-Wranglers-
121 - 2025-12-24898Wranglers-Phantoms-
124 - 2025-12-27921BruinsF-Wranglers-
126 - 2025-12-29934Wranglers-Admirals-
129 - 2026-01-01954Iowa Wild-Wranglers-
131 - 2026-01-03971Wranglers-Griffins-
133 - 2026-01-05985Canucks-Wranglers-
134 - 2026-01-06994Wranglers-Marlies-
136 - 2026-01-081008Wranglers-Thunderbirds-
138 - 2026-01-101019Wranglers-Condors-
139 - 2026-01-111026Gulls-Wranglers-
142 - 2026-01-141048Wranglers-Condors-
144 - 2026-01-161061Monsters-Wranglers-
147 - 2026-01-191083Monsters-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-211098Wranglers-Admirals-
151 - 2026-01-231116Wranglers-Gulls-
152 - 2026-01-241122Roadrunners-Wranglers-
154 - 2026-01-261137Wranglers-Thunderbirds-
156 - 2026-01-281150Roadrunners-Wranglers-
158 - 2026-01-301165Wranglers-Iowa Wild-
160 - 2026-02-011180Wranglers-StarsF-
161 - 2026-02-021188Wranglers-Griffins-
163 - 2026-02-041200Condors-Wranglers-
166 - 2026-02-071218Wranglers-Barracuda-
168 - 2026-02-091231Icehogs-Wranglers-
170 - 2026-02-111241Wranglers-Gulls-
172 - 2026-02-131257Wranglers-StarsF-
173 - 2026-02-141267Checkers-Wranglers-
177 - 2026-02-181298Checkers-Wranglers-
182 - 2026-02-231330Icehogs-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance22,00011,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
31 3000 - 100.00% 178,800$1,966,800$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
886,686$ 3,205,500$ 3,205,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 861,123$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,542,800$ 137 17,965$ 2,461,205$




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