Wranglers
GP: 82 | W: 31 | L: 45 | OTL: 6 | P: 68
GF: 281 | GA: 337 | PP%: 19.63% | PK%: 79.67%
DG: Philippe Gagné | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Eagles
47-30-5, 99pts
5
FINAL
0 Wranglers
31-45-6, 68pts
Team Stats
W5StreakL2
21-18-2Home Record13-23-5
26-12-3Away Record18-22-1
5-5-0Last 10 Games5-5-0
3.89Buts par match 3.43
3.39Buts contre par match 4.11
23.27%Pourcentage en avantage numérique19.63%
76.37%Pourcentage en désavantage numérique79.67%
Reign
41-36-5, 87pts
8
FINAL
2 Wranglers
31-45-6, 68pts
Team Stats
W1StreakL2
23-17-1Home Record13-23-5
18-19-4Away Record18-22-1
4-4-2Last 10 Games5-5-0
3.72Buts par match 3.43
3.59Buts contre par match 4.11
21.37%Pourcentage en avantage numérique19.63%
75.00%Pourcentage en désavantage numérique79.67%
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
31
Magnus ChronaPourcentage d’arrêts
Magnus Chrona
0.939

Statistiques d’équipe
Buts pour
281
3.43 GFG
Tirs pour
3128
38.15 Avg
Pourcentage en avantage numérique
19.6%
43 GF
Début de zone offensive
38.2%
Buts contre
337
4.11 GAA
Tirs contre
3538
43.15 Avg
Pourcentage en désavantage numérique
79.7%
50 GA
Début de la zone défensive
44.1%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,990
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs47


Historique d'équipe

Saison actuelle31-45-6 (68PTS)
Historique71-80-12 (0.436%)
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$
5Ethan Keppen (R)0X100.00743986588376645762595661576466075610243950,000$
6William Dufour (R)0X100.00744274598384815760565855576465075610231950,000$
7Samu Tuomaala (R)0X100.00563789626782816166645957616264075610222950,000$
8Travis Barron0X100.00694269597874855861565759556769075610261750,000$
9Brett Harrison (R)0X100.00683894597775775863575655586264075600222950,000$
10Xavier Bourgault (R)0X100.00603790596983825659585755566365075600221950,000$
11Samuel Honzek (R)0X100.00733989588479705760565559576263075600203950,000$
12David Jiricek0X100.00744082658784816330665965506264075640211950,000$
13Owen Pickering (R)0X100.00753993648981736330605966506163075640213950,000$
14Max Lajoie0X100.00703884647678846230655463486870075630271750,000$
15Cam Dineen (R)29X100.00603690627087835930635665496769075620271850,000$
16Gustav Olofsson0X100.006638875980817957305854614771730756103011,100,000$
17Ryan Ufko (R)0X100.00643693636982756230605759496264075610223950,000$
18Kirill Kudryavtsev (R)0X100.00633690617380725930605457496163075600213950,000$
Rayé
1Jan Mysak (R)0X87.14573690606785845865605961586365075610231950,000$
2Elliot Desnoyers (R)0X100.00603887596978835855575456586365075590231950,000$
3Danil Zhilkin (R)0X100.00663888567673785560545357556264075590212950,000$
4Trevor Kuntar (R)0X100.00664362577585835661555458596466075590242950,000$
5Jakub Dvorak (R)0X100.00814281559062685430525057456062075580203950,000$
6Angus Booth (R)0X100.00613976557064685430575356456163075570213950,000$
MOYENNE D’ÉQUIPE99.4668428260787979594959565954656707561
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
1Spencer Martin100.00788277827776787776787770840756803023,000,000$
2Matt Tomkins100.0075837885747375747375747185075660312950,000$
Rayé
1Magnus Chrona (R)100.0075848094747375747375746573075660252950,000$
2Damian Clara (R)100.0063706795626163626163626063075590203950,000$
MOYENNE D’ÉQUIPE100.007380768972717372717372677607565
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)C803240721160532313148822610.19%37139417.431231678000114151.92%198000001.0300000364
2Ross JohnstonWranglers (CGY)LW44252146139620168892034613812.32%1388320.0821319671013625255.00%20000011.0402400342
3Samu TuomaalaWranglers (CGY)RW82212546-46025123223491649.42%2293311.3800000000002049.24%13200000.9902000036
4Travis BarronWranglers (CGY)LW71172441-8400142106188681259.04%1388812.5200004000051052.07%21700000.9201000136
5David JiricekWranglers (CGY)D38531362420115525712448.77%6783321.953362664011190000.00%000000.8600000403
6Jeff MalottWranglers (CGY)LW43201535-6221018886203571509.85%3198722.9755102994000101631060.00%9000000.7102002304
7Ethan BearFlamesD33122335112001036162263719.35%6075222.821892584000099200.00%000100.9300000421
8Max LajoieWranglers (CGY)D4923032-10260113775819453.45%8897519.90066186710111030025.00%400000.6600000020
9William DufourWranglers (CGY)RW541115267808862137371058.03%1096917.960001271000021048.84%8600010.5400000112
10Mike VecchioneWranglers (CGY)C/RW40101626-38094912645907.94%881420.3634719860002523159.38%9600000.6401000100
11Garrett WilsonWranglers (CGY)LW/RW8212112333551316612527859.60%165787.05000000005491159.62%15600000.8000001200
12Lucas CondottaFlamesC1581018220165254143314.81%732721.822465240000450055.26%44700001.1000000220
13Gustav OlofssonWranglers (CGY)D452161832608937305266.67%4354312.0700000000135000.00%000000.6600000101
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 moyenne861199328527-44213514371288200055714019.95%5541334215.501937561946952132582323551.94%410300120.7908403262933
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)82314560.9044.18446810431132290240.7508820970
2Magnus ChronaWranglers (CGY)110000.9392.4142300172790000.0000072100
Statistiques d’équipe totales ou en moyenne93314560.9064.02489110432835080240.750882721070


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$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brett HarrisonWranglers (CGY)LW222003-06-07Yes182 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Cam Dineen (contrat à 1 volet)Wranglers (CGY)D271998-06-19Yes188 Lbs5 ft11NoNoNo1Pro & Farm850,000$850,000$850,000$0$NoLien / Lien NHL
Damian ClaraWranglers (CGY)G202005-01-13Yes214 Lbs6 ft6NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Danil ZhilkinWranglers (CGY)C212003-12-19Yes192 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
David JiricekWranglers (CGY)D212003-11-28No204 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Elliot DesnoyersWranglers (CGY)LW232002-01-21Yes183 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Ethan KeppenWranglers (CGY)LW242001-03-20Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Garrett WilsonWranglers (CGY)LW/RW341991-03-16No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Gustav Olofsson (contrat à 1 volet)Wranglers (CGY)D301994-12-01No199 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$1,100,000$1,100,000$0$NoLien / Lien NHL
Jakub DvorakWranglers (CGY)D202005-05-25Yes203 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jan Mysak (sur la masse salariale)Wranglers (CGY)C232002-06-04Yes175 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$YesLien / Lien NHL
Jeff MalottWranglers (CGY)LW291996-08-07No208 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Kirill KudryavtsevWranglers (CGY)D212004-02-05Yes200 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Magnus ChronaWranglers (CGY)G252000-08-28Yes194 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Matt TomkinsWranglers (CGY)G311994-06-19No191 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Max LajoieWranglers (CGY)D271997-11-05No191 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Mike VecchioneWranglers (CGY)C/RW321993-02-25No193 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Owen PickeringWranglers (CGY)D212004-01-27Yes200 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Ross JohnstonWranglers (CGY)LW311994-02-18No232 Lbs6 ft5NoNoNo1Pro & Farm920,100$920,100$0$0$NoLien / Lien NHL
Ryan UfkoWranglers (CGY)D222003-05-07Yes174 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Samu TuomaalaWranglers (CGY)RW222003-01-08Yes174 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Samuel HonzekWranglers (CGY)LW202004-11-12Yes186 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Spencer MartinWranglers (CGY)G301995-06-08No191 Lbs6 ft3NoNoYes2Pro & Farm3,000,000$3,000,000$0$0$No3,000,000$Lien / Lien NHL
Travis BarronWranglers (CGY)LW261998-11-17No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Trevor KuntarWranglers (CGY)C242001-06-20Yes205 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
William DufourWranglers (CGY)RW232002-01-28Yes215 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Xavier BourgaultWranglers (CGY)RW222002-10-22Yes172 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.71196 Lbs6 ft21.82988,218$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
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
240122
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 :
Lignes d’attaque personnalisées en prolongation
, , , , Travis Barron, , , , , 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
1Admirals31200000612-61100000031220200000311-820.3336915001098388191103110211061231093022789111.11%11372.73%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
2Americans211000005411010000024-21100000030320.500581301109838815010311021106123732717504125.00%60100.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
3Barracuda40400000820-1220200000412-82020000048-400.00081422001098388112110311021106123192513510515213.33%15380.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
4Bears20200000710-31010000034-11010000046-200.000712190010983881841031102110612389246524125.00%3166.67%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
5Bruins20100100614-81010000029-71000010045-110.250610160010983881691031102110612389241849200.00%8450.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
6Checkers220000001266110000008621100000040441.000122133011098388111410311021106123972119685120.00%20100.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
7Comets32100000131031010000046-22200000094540.6671325381010983881106103110211061231244112971000.00%60100.00%11341303144.24%1513350343.19%648140146.25%1772121521506021017481
8Condors41300000916-72110000058-32020000048-420.2509172600109838811321031102110612317051401257342.86%18477.78%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
9Crunch20200000710-31010000035-21010000045-100.0007142100109838817410311021106123932812431100.00%5260.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
10Devils21100000871110000005231010000035-220.5008152300109838817210311021106123871816606233.33%30100.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
11Eagles31200000910-11010000005-52110000095420.3339162501109838811191031102110612314854147712325.00%5180.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
12Firebirds320000011064210000018621100000020250.833101727011098388112410311021106123107351190500.00%3166.67%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
13Griffins2200000016971100000063311000000106441.0001629450010983881120103110211061231062410673133.33%5180.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
14Gulls43100000181442110000010912200000085360.75018335110109838812141031102110612317759141151616.25%6183.33%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
15IceHogs31200000814-61100000043120200000411-720.33381624001098388189103110211061231062416761417.14%80100.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
16Marlies20200000511-61010000047-31010000014-300.00051015001098388170103110211061231053722644125.00%11372.73%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
17Monsters210001006331000010012-11100000051430.750691500109838816810311021106123702216355120.00%7185.71%11341303144.24%1513350343.19%648140146.25%1772121521506021017481
18Moose3210000011101211000008801100000032140.667112233001098388180103110211061231043129886233.33%12283.33%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
19Penguins20200000314-111010000027-51010000017-600.000358001098388170103110211061231273818677114.29%8450.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
20Phantoms21100000871110000006331010000024-220.5008142200109838815510311021106123752018644125.00%9277.78%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
21Reign413000001624-820200000514-9211000001110120.250162844001098388114210311021106123165572210510440.00%11190.91%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
22Roadrunners3120000010100211000008621010000024-220.333101828101098388192103110211061231264419957228.57%7271.43%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
23Rocket211000009811010000036-31100000062420.5009142300109838811021031102110612378181449100.00%70100.00%11341303144.24%1513350343.19%648140146.25%1772121521506021017481
24Senators211000009901010000045-11100000054120.5009162500109838815810311021106123842824506233.33%12375.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
25Silver Knights431000002415922000000137621100000118360.75024436700109838812631031102110612318054181249444.44%8275.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
26Sound Tigers20100100811-31000010034-11010000057-210.2508152310109838817710311021106123113221559300.00%5180.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
27Stars30101100810-22010010058-31000100032130.500816240010983881104103110211061231272716907114.29%80100.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
28Thunderbirds312000001016-620200000413-91100000063320.3331020300010983881140103110211061231214621939222.22%8187.50%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
29Wild3110000146-21000000112-12110000034-130.5004812001098388191103110211061231263824758112.50%10280.00%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
30Wolf Pack2020000049-51010000025-31010000024-200.000481200109838816910311021106123913326365240.00%12283.33%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
31Wolves20200000412-81010000026-41010000026-400.000471100109838816810311021106123793316495240.00%7357.14%01341303144.24%1513350343.19%648140146.25%1772121521506021017481
Total82304501402281337-5641132300302138186-4841172201100143151-8680.41528150979044109838813128103110211061233538105958022952194319.63%2465079.67%31341303144.24%1513350343.19%648140146.25%1772121521506021017481
_Since Last GM Reset82304501402281337-5641132300302138186-4841172201100143151-8680.41528150979044109838813128103110211061233538105958022952194319.63%2465079.67%31341303144.24%1513350343.19%648140146.25%1772121521506021017481
_Vs Conference50202601102164193-29259130010282108-26251113010008285-3450.4501643024663210983881190810311021106123208264231314331442718.75%1362383.09%11341303144.24%1513350343.19%648140146.25%1772121521506021017481
_Vs Division2612130000198105-71357000014962-1313760000049436250.4819817727521109838811102103110211061231115348152761721419.44%671282.09%11341303144.24%1513350343.19%648140146.25%1772121521506021017481

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8268L2281509790312835381059580229544
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8230451402281337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113230302138186
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117221100143151
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2194319.63%2465079.67%3
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
1031102110612310983881
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
1341303144.24%1513350343.19%648140146.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1772121521506021017481


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 - 2026-03-03965Stars3Wranglers2BLXSommaire du match
150 - 2026-03-05981Senators5Wranglers4BLSommaire du match
152 - 2026-03-07998Wolves6Wranglers2BLSommaire du match
154 - 2026-03-091009Wranglers4Bears6ALSommaire du match
155 - 2026-03-101017Wranglers2Wolf Pack4ALSommaire du match
157 - 2026-03-121032Wranglers3Devils5ALSommaire du match
159 - 2026-03-141051Wranglers5Sound Tigers7ALSommaire du match
161 - 2026-03-161063Wranglers10Griffins6AWSommaire du match
163 - 2026-03-181081Thunderbirds7Wranglers2BLSommaire du match
165 - 2026-03-201097Checkers6Wranglers8BWSommaire du match
167 - 2026-03-221116Crunch5Wranglers3BLSommaire du match
169 - 2026-03-241132Reign6Wranglers3BLSommaire du match
171 - 2026-03-261147Gulls6Wranglers4BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281165Comets6Wranglers4BLSommaire du match
175 - 2026-03-301174Wranglers6Eagles0AWSommaire du match
178 - 2026-04-021201Wranglers3Silver Knights4ALSommaire du match
180 - 2026-04-041219Wranglers3Gulls2AWSommaire du match
183 - 2026-04-071239Wranglers3Stars2AWXSommaire du match
185 - 2026-04-091256Wranglers3Eagles5ALSommaire du match
187 - 2026-04-111273Wranglers2Firebirds0AWSommaire du match
188 - 2026-04-121281Roadrunners3Wranglers6BWSommaire du match
190 - 2026-04-141298Eagles5Wranglers0BLSommaire du match
192 - 2026-04-161310Reign8Wranglers2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,68840,883
Assistance PCT99.62%99.71%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2990 - 99.65% 80,959$3,319,306$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,396,070$ 2,572,010$ 2,477,010$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,392,501$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,509,719$ 0 18,604$ 0$




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
5Samu Tuomaala164265480-9201042093148.28%89217313.25000000002347.97%00.7402

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 Tomkins1647179130.9043.71934612557860340370.77827
2Magnus Chrona130100.9382.3850500203210000.0000

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
202582304501402281337-5641132300302138186-4841172201100143151-86828150979044109838813128103110211061233538105958022952194319.63%2465079.67%31341303144.24%1513350343.19%648140146.25%1772121521506021017481
Total Saison régulière164618008924565612-4782294005413286322-3682324003511279290-1115556510211586752151791611159481951197819717563881902105442344779620.13%4559878.46%82798597546.83%3058658146.47%1323275348.06%371725624112121220771010

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