Wranglers
GP: 59 | W: 24 | L: 30 | OTL: 5 | P: 53
GF: 197 | GA: 230 | PP%: 19.08% | PK%: 78.28%
DG: Philippe Gagné | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #965 vs Stars
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Centre de jeu
Wranglers
24-30-5, 53pts
5
FINAL
7 Reign
30-29-2, 62pts
Team Stats
W1StreakL1
11-14-4Home Record18-12-0
13-16-1Away Record12-17-2
2-8-0Last 10 Games5-5-0
3.34Buts par match 3.79
3.90Buts contre par match 3.69
19.08%Pourcentage en avantage numérique22.83%
78.28%Pourcentage en désavantage numérique76.71%
Wranglers
24-30-5, 53pts
5
FINAL
3 Gulls
30-26-3, 63pts
Team Stats
W1StreakL3
11-14-4Home Record15-11-3
13-16-1Away Record15-15-0
2-8-0Last 10 Games4-6-0
3.34Buts par match 3.73
3.90Buts contre par match 3.97
19.08%Pourcentage en avantage numérique21.93%
78.28%Pourcentage en désavantage numérique75.38%
Stars
30-23-7, 67pts
2026-03-03
Wranglers
24-30-5, 53pts
Statistiques d’équipe
L1SéquenceW1
13-12-3Fiche domicile11-14-4
17-11-4Fiche visiteur13-16-1
7-1-210 derniers matchs2-8-0
3.93Buts par match 3.34
3.80Buts contre par match 3.90
23.71%Pourcentage en avantage numérique19.08%
73.40%Pourcentage en désavantage numérique78.28%
Senators
33-23-3, 69pts
2026-03-05
Wranglers
24-30-5, 53pts
Statistiques d’équipe
L1SéquenceW1
17-10-2Fiche domicile11-14-4
16-13-1Fiche visiteur13-16-1
5-5-010 derniers matchs2-8-0
3.80Buts par match 3.34
3.12Buts contre par match 3.90
25.79%Pourcentage en avantage numérique19.08%
77.49%Pourcentage en désavantage numérique78.28%
Wolves
39-17-4, 82pts
2026-03-07
Wranglers
24-30-5, 53pts
Statistiques d’équipe
W2SéquenceW1
21-9-3Fiche domicile11-14-4
18-8-1Fiche visiteur13-16-1
7-2-110 derniers matchs2-8-0
4.43Buts par match 3.34
3.27Buts contre par match 3.90
27.04%Pourcentage en avantage numérique19.08%
78.11%Pourcentage en désavantage numérique78.28%
Meneurs d'équipe
Ethan BearButs
Ethan Bear
12
Ethan BearPasses
Ethan Bear
23
Ethan BearPoints
Ethan Bear
35
Ethan BearPlus/Moins
Ethan Bear
11
Matt TomkinsVictoires
Matt Tomkins
24
Magnus ChronaPourcentage d’arrêts
Magnus Chrona
0.937

Statistiques d’équipe
Buts pour
197
3.34 GFG
Tirs pour
2093
35.47 Avg
Pourcentage en avantage numérique
19.1%
29 GF
Début de zone offensive
38.2%
Buts contre
230
3.90 GAA
Tirs contre
2374
40.24 Avg
Pourcentage en désavantage numérique
78.3%
43 GA
Début de la zone défensive
43.6%
Information d’équipe

Directeur généralPhilippe Gagné
EntraîneurTodd Reirden
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,991
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 80
Espoirs47


Historique d'équipe

Saison actuelle24-30-5 (53PTS)
Historique64-65-11 (0.457%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1Ross Johnston0X100.00828559659672816253616063587274075640311920,100$
2Jeff Malott0X100.00794370619184876265636164626971075640291750,000$
3Mike Vecchione0XX100.00603789616981856063596156627274075620321750,000$
4Garrett Wilson0XX100.00787250558776835662575859567479075610341750,000$
5Jan Mysak (R)0X100.00573690606785845865605961586365075610231950,000$
6Ethan Keppen (R)0X100.00743986588376645762595661576466075610243950,000$
7Samu Tuomaala (R)0X100.00563789626782816166645957616264075610222950,000$
8Travis Barron0X100.00694269597874855861565759556769075610261750,000$
9Brett Harrison (R)0X100.00683894597775775863575655586264075600222950,000$
10Xavier Bourgault (R)0X100.00603790596983825659585755566365075600221950,000$
11David Jiricek0X100.00744082658784816330665965506264075640211950,000$
12Owen Pickering (R)0X100.00753993648981736330605966506163075640213950,000$
13Cam Dineen (R)29X100.00603690627087835930635665496769075620271850,000$
14Kirill Kudryavtsev (R)0X100.00633690617380725930605457496163075600213950,000$
Rayé
1William Dufour (R)0X100.00744274598384815760565855576465075610231950,000$
2Samuel Honzek (R)0X100.00733989588479705760565559576263075600203950,000$
3Elliot Desnoyers (R)0X100.00603887596978835855575456586365075590231950,000$
4Danil Zhilkin (R)0X100.00663888567673785560545357556264075590212950,000$
5Trevor Kuntar (R)0X100.00664362577585835661555458596466075590242950,000$
6Max Lajoie0X100.00703884647678846230655463486870075630271750,000$
7Gustav Olofsson0X100.006638875980817957305854614771730756103011,100,000$
8Ryan Ufko (R)0X82.60643693636982756230605759496264075610223950,000$
9Jakub Dvorak (R)0X100.00814281559062685430525057456062075580203950,000$
10Angus Booth (R)0X100.00613976557064685430575356456163075570213950,000$
MOYENNE D’ÉQUIPE99.2868428260787979594959565954656707561
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 moyen
1Magnus Chrona (R)100.0075848094747375747375746573075660252950,000$
2Matt Tomkins100.0075837885747375747375747185075660312950,000$
Rayé
1Spencer Martin100.00788277827776787776787770840756803023,000,000$
2Matt Murray100.00747671937372747372747375850756603123,684,000$
3Damian Clara (R)100.0063706795626163626163626063075590203950,000$
MOYENNE D’ÉQUIPE100.007379759072717372717372687807565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden74707371797470USA5411,000,000$


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
1Jan MysakWranglers (CGY)C59222648860161571915813611.52%16106017.981011473000112050.71%147500000.9000000122
2Ross JohnstonWranglers (CGY)LW44252146139620168892034613812.32%1388320.0821319671013625255.00%20000011.0402400342
3David JiricekWranglers (CGY)D38531362420115525712448.77%6783321.953362664011190000.00%000000.8600000403
4Jeff MalottWranglers (CGY)LW43201535-6221018886203571509.85%3198722.9755102994000101631060.00%9000000.7102002304
5Ethan BearFlamesD33122335112001036162263719.35%6075222.821892584000099200.00%000100.9300000421
6Max LajoieWranglers (CGY)D4923032-10260113775819453.45%8897519.90066186710111030025.00%400000.6600000020
7Samu TuomaalaWranglers (CGY)RW59111728-4601977147301047.48%1670611.9800000000001051.33%11300000.7902000023
8William DufourWranglers (CGY)RW541115267808862137371058.03%1096917.960001271000021048.84%8600010.5400000112
9Mike VecchioneWranglers (CGY)C/RW40101626-38094912645907.94%881420.3634719860002523159.38%9600000.6401000100
10Travis BarronWranglers (CGY)LW48121123-73409069108445611.11%965813.7100004000051051.06%18800000.7001000123
11Lucas CondottaFlamesC1581018220165254143314.81%732721.822465240000450055.26%44700001.1000000220
12Gustav OlofssonWranglers (CGY)D452161832608937305266.67%4354312.0700000000135000.00%000000.6600000101
13Garrett WilsonWranglers (CGY)LW/RW597815223595428622578.14%124798.14000000005491158.33%14400000.6300001100
14Cam DineenWranglers (CGY)D3131013-618038443810237.89%3448015.51022913000022000.00%000000.5400000100
15Kirill KudryavtsevWranglers (CGY)D24391208026472581712.00%2548920.4000000000001035.71%32200000.4900000020
16Dennis CholowskiFlamesD133811318036232851710.71%1529222.542131635000041000.00%000000.7500000011
17Ryan UfkoWranglers (CGY)D46347-62031202041815.00%262465.350000000009000.00%100000.5700000001
18Xavier BourgaultWranglers (CGY)RW102461202122071410.00%313313.39000000001161061.33%7500000.9000000010
19Brett HarrisonWranglers (CGY)LW10314000381651018.75%1868.6600000000001077.78%900000.9200000001
20Jakub DvorakWranglers (CGY)D10134-116021263316.67%1313913.990000000002000.00%000000.5700000001
21Trevor KuntarWranglers (CGY)C10224-52014131961210.53%518618.6900000000000061.11%7200000.4300000000
22Angus BoothWranglers (CGY)D10033-1006212440.00%914914.9400000000013000.00%000000.4000000010
23Danil ZhilkinWranglers (CGY)C102130201010194710.53%2858.5900000000000053.19%9400000.7000000010
24Ethan KeppenWranglers (CGY)LW9033-30051115480.00%112213.5900000000000048.36%12200000.4900000000
25Owen PickeringWranglers (CGY)D2033360552400.00%54422.350110100003000.00%000001.3400000000
Statistiques d’équipe totales ou en moyenne771169290459339335130611071682479115410.05%5191245216.151935541926892132582320451.38%353800120.7408403232325
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
1Matt TomkinsWranglers (CGY)59243050.9013.9632626221521820210.7508590460
2Magnus ChronaWranglers (CGY)80000.9372.4729200121910000.0000059000
Statistiques d’équipe totales ou en moyenne67243050.9043.8335546222723730210.75085959460


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Angus BoothWranglers (CGY)D212004-04-27Yes177 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Brett HarrisonWranglers (CGY)LW222003-06-07Yes182 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Cam Dineen (contrat à 1 volet)Wranglers (CGY)D271998-06-19Yes188 Lbs5 ft11NoNoNo1Pro & Farm850,000$199,219$850,000$199,219$850,000$199,219$NoLien / Lien NHL
Damian ClaraWranglers (CGY)G202005-01-13Yes214 Lbs6 ft6NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Danil ZhilkinWranglers (CGY)C212003-12-19Yes192 Lbs6 ft1NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
David JiricekWranglers (CGY)D212003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Elliot DesnoyersWranglers (CGY)LW232002-01-21Yes183 Lbs5 ft11NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Ethan KeppenWranglers (CGY)LW242001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Garrett WilsonWranglers (CGY)LW/RW341991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Gustav Olofsson (contrat à 1 volet)Wranglers (CGY)D301994-12-01No199 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$257,812$1,100,000$257,812$1,100,000$257,812$NoLien / Lien NHL
Jakub DvorakWranglers (CGY)D202005-05-25Yes203 Lbs6 ft5NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Jan MysakWranglers (CGY)C232002-06-04Yes175 Lbs5 ft11NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Jeff MalottWranglers (CGY)LW291996-08-07No208 Lbs6 ft5NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Kirill KudryavtsevWranglers (CGY)D212004-02-05Yes200 Lbs5 ft11NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Magnus ChronaWranglers (CGY)G252000-08-28Yes194 Lbs6 ft4NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Matt Murray (contrat à 1 volet)Wranglers (CGY)G311994-05-25No220 Lbs6 ft5NoNoYes2Pro & Farm3,684,000$863,438$3,684,000$863,438$3,684,000$863,438$No3,684,000$Lien / Lien NHL
Matt TomkinsWranglers (CGY)G311994-06-19No191 Lbs6 ft4NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Max LajoieWranglers (CGY)D271997-11-05No191 Lbs6 ft1NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Mike VecchioneWranglers (CGY)C/RW321993-02-25No193 Lbs5 ft10NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Owen PickeringWranglers (CGY)D212004-01-27Yes200 Lbs6 ft5NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Ross JohnstonWranglers (CGY)LW311994-02-18No232 Lbs6 ft5NoNoNo1Pro & Farm920,100$215,648$920,100$215,648$0$0$NoLien / Lien NHL
Ryan Ufko (sur la masse salariale)Wranglers (CGY)D222003-05-07Yes174 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$Yes950,000$950,000$Lien / Lien NHL
Samu TuomaalaWranglers (CGY)RW222003-01-08Yes174 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Samuel HonzekWranglers (CGY)LW202004-11-12Yes186 Lbs6 ft4NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Spencer MartinWranglers (CGY)G301995-06-08No191 Lbs6 ft3NoNoYes2Pro & Farm3,000,000$703,125$3,000,000$703,125$0$0$No3,000,000$Lien / Lien NHL
Travis BarronWranglers (CGY)LW261998-11-17No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Trevor KuntarWranglers (CGY)C242001-06-20Yes205 Lbs6 ft0NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
William DufourWranglers (CGY)RW232002-01-28Yes215 Lbs6 ft2NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Xavier BourgaultWranglers (CGY)RW222002-10-22Yes172 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.93196 Lbs6 ft21.831,081,176$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Jan Mysak30122
3Travis BarronSamu Tuomaala20122
4Garrett Wilson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Jan Mysak40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Barron, Samu Tuomaala, Garrett WilsonTravis Barron, Samu TuomaalaGarrett Wilson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , , Travis Barron
Gardien
#1 : Matt Tomkins, #2 : Magnus Chrona
Lignes d’attaque personnalisées en prolongation
, , , , Travis Barron, Jan Mysak, Jan Mysak, , , Samu Tuomaala, Garrett Wilson
Lignes de défense personnalisées en prolongation
, , , ,


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
1Admirals31200000612-61100000031220200000311-820.333691500736163091675680725211093022789111.11%11372.73%0961210445.67%1075240544.70%500100649.70%13349191481431742361
2Americans211000005411010000024-21100000030320.50058130173616305067568072521732717504125.00%60100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
3Barracuda40400000820-1220200000412-82020000048-400.0008142200736163012167568072521192513510515213.33%15380.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
4Bears1010000034-11010000034-10000000000000.000369007361630476756807252138154252150.00%2150.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
5Bruins20100100614-81010000029-71000010045-110.25061016007361630696756807252189241849200.00%8450.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
6Checkers11000000404000000000001100000040421.0004610017361630306756807252145121743200.00%10100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
7Comets22000000945000000000002200000094541.00091726007361630636756807252165211057600.00%50100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
8Condors41300000916-72110000058-32020000048-420.250917260073616301326756807252117051401257342.86%18477.78%0961210445.67%1075240544.70%500100649.70%13349191481431742361
9Crunch1010000045-1000000000001010000045-100.0004812007361630276756807252138101212400.00%5260.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
10Devils11000000523110000005230000000000021.0005914007361630476756807252135714293133.33%20100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
11Firebirds21000001862210000018620000000000030.75081321007361630756756807252167191156400.00%3166.67%0961210445.67%1075240544.70%500100649.70%13349191481431742361
12Griffins11000000633110000006330000000000021.0006111700736163032675680725214512622000.00%30100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
13Gulls220000001165110000006331100000053241.0001121320073616301116756807252179308621000.00%3166.67%0961210445.67%1075240544.70%500100649.70%13349191481431742361
14IceHogs31200000814-61100000043120200000411-720.3338162400736163089675680725211062416761417.14%80100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
15Marlies20200000511-61010000047-31010000014-300.0005101500736163070675680725211053722644125.00%11372.73%0961210445.67%1075240544.70%500100649.70%13349191481431742361
16Monsters210001006331000010012-11100000051430.75069150073616306867568072521702216355120.00%7185.71%1961210445.67%1075240544.70%500100649.70%13349191481431742361
17Moose3210000011101211000008801100000032140.66711223300736163080675680725211043129886233.33%12283.33%0961210445.67%1075240544.70%500100649.70%13349191481431742361
18Penguins20200000314-111010000027-51010000017-600.00035800736163070675680725211273818677114.29%8450.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
19Phantoms21100000871110000006331010000024-220.500814220073616305567568072521752018644125.00%9277.78%0961210445.67%1075240544.70%500100649.70%13349191481431742361
20Reign211000001110100000000000211000001110120.500111829007361630936756807252171256534125.00%3166.67%0961210445.67%1075240544.70%500100649.70%13349191481431742361
21Roadrunners2020000047-31010000023-11010000024-200.00048121073616304867568072521713313555240.00%4175.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
22Rocket211000009811010000036-31100000062420.500914230073616301026756807252178181449100.00%70100.00%1961210445.67%1075240544.70%500100649.70%13349191481431742361
23Senators11000000541000000000001100000054121.00059140073616302667568072521301116255240.00%8275.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
24Silver Knights330000002111102200000013761100000084461.000214061007361630182675680725211213318975360.00%8275.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
25Sound Tigers1000010034-11000010034-10000000000010.500369007361630366756807252162111123200.00%3166.67%0961210445.67%1075240544.70%500100649.70%13349191481431742361
26Stars1010000035-21010000035-20000000000000.0003690073616303367568072521319634400.00%30100.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
27Thunderbirds2110000089-11010000026-41100000063320.500816240073616309067568072521823815594125.00%5180.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
28Wild3110000146-21000000112-12110000034-130.500481200736163091675680725211263824758112.50%10280.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
29Wolf Pack1010000025-31010000025-30000000000000.0002460073616303567568072521482118203133.33%9188.89%0961210445.67%1075240544.70%500100649.70%13349191481431742361
30Wolves1010000026-4000000000001010000026-400.000246007361630306756807252122122213266.67%110.00%0961210445.67%1075240544.70%500100649.70%13349191481431742361
Total59243000302197230-332911140020298120-223013160010099110-11530.449197358555127361630209367568072521237473047616181522919.08%1984378.28%2961210445.67%1075240544.70%500100649.70%13349191481431742361
_Since Last GM Reset59243000302197230-332911140020298120-223013160010099110-11530.449197358555127361630209367568072521237473047616181522919.08%1984378.28%2961210445.67%1075240544.70%500100649.70%13349191481431742361
_Vs Conference36161800002121136-151787000025964-519811000006272-10340.472121225346107361630129967568072521139443325310201011716.83%1082180.56%0961210445.67%1075240544.70%500100649.70%13349191481431742361
_Vs Division191080000177734953000013636010550000041374210.553771402170073616307776756807252176523012855551917.65%551278.18%0961210445.67%1075240544.70%500100649.70%13349191481431742361

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5953W119735855520932374730476161812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5924300302197230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291114020298120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
301316010099110
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1522919.08%1984378.28%2
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
675680725217361630
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
961210445.67%1075240544.70%500100649.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13349191481431742361


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
2 - 2025-10-086Wranglers2Condors3ALSommaire du match
3 - 2025-10-0919Wranglers5Comets2AWSommaire du match
5 - 2025-10-1123Thunderbirds6Wranglers2BLSommaire du match
8 - 2025-10-1453Silver Knights3Wranglers7BWSommaire du match
9 - 2025-10-1560Wranglers2Roadrunners4ALSommaire du match
12 - 2025-10-1887Wranglers8Silver Knights4AWSommaire du match
14 - 2025-10-2096Moose3Wranglers6BWSommaire du match
16 - 2025-10-22110Rocket6Wranglers3BLSommaire du match
18 - 2025-10-24126Wranglers3Moose2AWSommaire du match
20 - 2025-10-26146Wolf Pack5Wranglers2BLSommaire du match
22 - 2025-10-28151Wranglers1Marlies4ALSommaire du match
24 - 2025-10-30168Wranglers5Senators4AWSommaire du match
26 - 2025-11-01183Wranglers1Admirals4ALSommaire du match
27 - 2025-11-02196Wranglers2Phantoms4ALSommaire du match
30 - 2025-11-05215Monsters2Wranglers1BLXSommaire du match
32 - 2025-11-07229IceHogs3Wranglers4BWSommaire du match
34 - 2025-11-09249Wranglers2Wild1AWSommaire du match
36 - 2025-11-11260Wranglers6Thunderbirds3AWSommaire du match
38 - 2025-11-13276Barracuda4Wranglers2BLSommaire du match
40 - 2025-11-15294Moose5Wranglers2BLSommaire du match
43 - 2025-11-18312Wranglers1IceHogs4ALSommaire du match
44 - 2025-11-19316Wranglers3Americans0AWSommaire du match
47 - 2025-11-22345Stars5Wranglers3BLSommaire du match
48 - 2025-11-23352Wranglers4Comets2AWSommaire du match
51 - 2025-11-26362Wranglers4Crunch5ALSommaire du match
53 - 2025-11-28380Wranglers4Checkers0AWSommaire du match
55 - 2025-11-30404Wranglers2Wolves6ALSommaire du match
57 - 2025-12-02416Wranglers2Admirals7ALSommaire du match
59 - 2025-12-04433Wild2Wranglers1BLXXSommaire du match
61 - 2025-12-06448Roadrunners3Wranglers2BLSommaire du match
63 - 2025-12-08463Americans4Wranglers2BLSommaire du match
65 - 2025-12-10477Griffins3Wranglers6BWSommaire du match
68 - 2025-12-13507Wranglers6Reign3AWSommaire du match
71 - 2025-12-16527Wranglers2Barracuda3ALSommaire du match
73 - 2025-12-18542Firebirds1Wranglers4BWSommaire du match
75 - 2025-12-20559Silver Knights4Wranglers6BWSommaire du match
78 - 2025-12-23585Wranglers2Condors5ALSommaire du match
82 - 2025-12-27598Condors1Wranglers3BWSommaire du match
84 - 2025-12-29613Bruins9Wranglers2BLSommaire du match
86 - 2025-12-31630Phantoms3Wranglers6BWSommaire du match
89 - 2026-01-03654Admirals1Wranglers3BWSommaire du match
91 - 2026-01-05665Firebirds5Wranglers4BLXXSommaire du match
93 - 2026-01-07678Wranglers6Rocket2AWSommaire du match
94 - 2026-01-08682Wranglers4Bruins5ALXSommaire du match
96 - 2026-01-10698Wranglers1Penguins7ALSommaire du match
99 - 2026-01-13728Wranglers5Monsters1AWSommaire du match
101 - 2026-01-15745Wranglers3IceHogs7ALSommaire du match
103 - 2026-01-17756Sound Tigers4Wranglers3BLXSommaire du match
105 - 2026-01-19777Devils2Wranglers5BWSommaire du match
107 - 2026-01-21791Penguins7Wranglers2BLSommaire du match
109 - 2026-01-23806Bears4Wranglers3BLSommaire du match
111 - 2026-01-25824Gulls3Wranglers6BWSommaire du match
115 - 2026-01-29853Wranglers1Wild3ALSommaire du match
117 - 2026-01-31863Barracuda8Wranglers2BLSommaire du match
119 - 2026-02-02885Marlies7Wranglers4BLSommaire du match
121 - 2026-02-04900Condors7Wranglers2BLSommaire du match
143 - 2026-02-26928Wranglers2Barracuda5ALSommaire du match
145 - 2026-02-28944Wranglers5Reign7ALSommaire du match
146 - 2026-03-01952Wranglers5Gulls3AWSommaire du match
148 - 2026-03-03965Stars-Wranglers-
150 - 2026-03-05981Senators-Wranglers-
152 - 2026-03-07998Wolves-Wranglers-
154 - 2026-03-091009Wranglers-Bears-
155 - 2026-03-101017Wranglers-Wolf Pack-
157 - 2026-03-121032Wranglers-Devils-
159 - 2026-03-141051Wranglers-Sound Tigers-
161 - 2026-03-161063Wranglers-Griffins-
163 - 2026-03-181081Thunderbirds-Wranglers-
165 - 2026-03-201097Checkers-Wranglers-
167 - 2026-03-221116Crunch-Wranglers-
169 - 2026-03-241132Reign-Wranglers-
171 - 2026-03-261147Gulls-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281165Comets-Wranglers-
175 - 2026-03-301174Wranglers-Eagles-
178 - 2026-04-021201Wranglers-Silver Knights-
180 - 2026-04-041219Wranglers-Gulls-
183 - 2026-04-071239Wranglers-Stars-
185 - 2026-04-091256Wranglers-Eagles-
187 - 2026-04-111273Wranglers-Firebirds-
188 - 2026-04-121281Roadrunners-Wranglers-
190 - 2026-04-141298Eagles-Wranglers-
192 - 2026-04-161310Reign-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance57,83528,910
Assistance PCT99.72%99.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-19 2991 - 99.71% 81,014$2,349,406$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,561,365$ 2,477,010$ 2,477,010$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,794,136$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,539,266$ 45 18,109$ 814,905$




Wranglers Leaders statistiques (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
1Mike Vecchione12246539919144820638711.89%31236319.38713207401147449.23%20.8403
2Jeff Malott124504494-29834703055069.88%65280222.6091221740111511551.19%00.6706
3Max Lajoie129187290-14863451912038.87%239291822.63817258910121125.00%00.6200
4Zack Bolduc82285785214222242949.52%27151718.51812205501123148.79%01.1213
5Dennis Cholowski9518567444413910316710.78%132229624.17101222840001110.00%00.6400

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
1Matt Tomkins1416464120.9033.5581408348249870340.77827
2Magnus Chrona100100.9362.4137400152330000.0000

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
Saison régulière
2024823135075222842759411617051111481361241151802411136139-38728451279631106967310282092095791052285084347419392585320.54%2094877.03%51457294449.49%1545307850.19%675135249.93%1945134619616101060528
202559243000302197230-332911140020298120-223013160010099110-1153197358555127361630209367568072521237473047616181522919.08%1984378.28%2961210445.67%1075240544.70%500100649.70%13349191481431742361
Total Saison régulière141556507824481505-2470273105313246256-1071283402511235249-14140481870135143179157136104913159516371635735224157395035574108220.00%4079177.64%72418504847.90%2620548347.78%1175235849.83%32802266344310411802890

Wranglers Leaders statistiques (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