Wranglers
GP: 82 | W: 29 | L: 43 | OTL: 10 | P: 68
GF: 279 | GA: 346 | PP%: 19.39% | PK%: 75.11%
DG: Kevin Parisien | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Wranglers
29-43-10, 68pts
2
FINAL
4 Comets
47-31-4, 98pts
Team Stats
L2StreakW3
16-20-5Home Record19-20-2
13-23-5Away Record28-11-2
4-5-1Last 10 Games6-4-0
3.40Buts par match 4.21
4.22Buts contre par match 3.66
19.39%Pourcentage en avantage numérique23.68%
75.11%Pourcentage en désavantage numérique78.57%
Barracuda
38-38-6, 82pts
6
FINAL
5 Wranglers
29-43-10, 68pts
Team Stats
W1StreakL2
24-16-1Home Record16-20-5
14-22-5Away Record13-23-5
4-5-1Last 10 Games4-5-1
3.59Buts par match 3.40
3.61Buts contre par match 4.22
21.40%Pourcentage en avantage numérique19.39%
81.38%Pourcentage en désavantage numérique75.11%
Meneurs d'équipe
David JiricekButs
David Jiricek
11
David JiricekPasses
David Jiricek
48
David JiricekPoints
David Jiricek
59
David JiricekPlus/Moins
David Jiricek
7
Olle Eriksson EkVictoires
Olle Eriksson Ek
15
Kyle KeyserPourcentage d’arrêts
Kyle Keyser
0.912

Statistiques d’équipe
Buts pour
279
3.40 GFG
Tirs pour
2980
36.34 Avg
Pourcentage en avantage numérique
19.4%
51 GF
Début de zone offensive
38.8%
Buts contre
346
4.22 GAA
Tirs contre
3386
41.29 Avg
Pourcentage en désavantage numérique
75.1%
58 GA
Début de la zone défensive
42.6%
Information d’équipe

Directeur généralKevin Parisien
EntraîneurTodd Reirden
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,961
Billets de saison300


Information formation

Équipe Pro34
Équipe Mineure21
Limite contact 55 / 80
Espoirs58


Historique d'équipe

Saison actuelle29-43-10 (68PTS)
Historique102-125-23 (0.408%)
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
1Tyler Pitlick0XXX100.00783694608076786167636065607472075640322750,000$
2Byron Froese0XX100.00693976627886836379646263627274075640322821,000$
3Joel Kiviranta0X100.007634886769778462565760686367690756402731,750,000$
4Riley Barber0X100.00643882657589836665616460656971075640293750,000$
5Garrett Wilson0XX100.00787251618788866063616062607274075630323750,000$
6Ross Johnston0X100.00888560639574686157625658596971075630293920,100$
7Jeff Malott (R)0X100.00804271618987856061575962606769075630273750,000$
8Sheldon Rempal98X100.00613776666389846566636159626870075630283867,800$
9Danny O'Regan0X100.00573591646684836270655861606971075630293750,000$
10Kyle Rau0X100.00553780636482846273616256637173075620313750,000$
11Ryan Schmelzer0X100.00693985597880855868615659577075075620301900,000$
12Cole Bardreau0X100.00713888627278815763585960647072075620301925,000$
13William Dufour (R)0X100.00714077638378725963605862646163075620213950,000$
14Mike Vecchione0XX100.00593685636980846265616058627072075620303750,000$
15Dennis Cholowski0X100.006938906782838165306858615065670756502521,275,000$
16Jordan Harris (R)0X100.00613486676989736630695970526263075640233950,000$
17Cam Dineen (R)29X100.006036946570858363306953644865670756302521,100,000$
18Gustav Olofsson0X100.006838806080797159306058665069710756202931,100,000$
19Maxime Lajoie0X100.00664083627775845930625860496670075620263750,000$
Rayé
1Elliot Desnoyers (R)0X100.00733694636983725962586166576263075620213950,000$
2Evan Polei (R)0X100.00807261578976815660575861576769075610273750,000$
3Tim Schaller0XXX100.00724084568178855560565758567375075610333750,000$
4Xavier Bourgault (R)0X100.00603792606981715962605857596163075600213950,000$
5Jan Mysak (R)0X100.00583694586777665761535662596163075590213950,000$
6Cameron Hebig (R)0XXX100.00603785566984855558575754566668075590263750,000$
7Travis Barron0X100.00694663567872815560565758546567075590253750,000$
8Ethan Keppen (R)23X100.00744271528367685153525456536264075580222950,000$
9Steven Kampfer (R)0X100.00633979597276705830625557487577075610353950,000$
10Daniil Chayka (R)0X100.00723895538163705230545356456163075580213950,000$
11Andrew Nielsen0X100.00764174538562645230535157456769075580272750,000$
12Mitch Eliot (R)0X100.00634071547270765330555455466567075580253750,000$
MOYENNE D’ÉQUIPE100.0068428161767978595460586056676907562
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
1Olle Eriksson Ek (R)100.0071626381706971706971706471075630244925,000$
2Kyle Keyser (R)100.0071636476706971706971706471075620243750,000$
Rayé
1Shane Starrett (R)100.0050505050505050505050505050050490291750,000$
MOYENNE D’ÉQUIPE100.006458596963636463636463596406758
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden72717470787272USA5231,000,000$


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
1William DufourWranglers (CGY)RW74383371-23201631252718720614.02%28140118.9377144514800031344345.86%15700021.0113000453
2Jordan HarrisWranglers (CGY)D65144963-614060107137439310.22%93145222.347714641550111136120.00%000000.8700000223
3David JiricekFlamesD5711485976402228413849997.97%115138024.2251217571410000125110.00%000000.8500000441
4Byron FroeseWranglers (CGY)C/RW56213556-13160631531955517510.77%16108119.315611331100001743055.86%90400001.0401000205
5Jeff MalottWranglers (CGY)LW81222648-15810180881845011311.96%3592711.4500002000161244.93%6900001.0300101242
6Gustav OlofssonWranglers (CGY)D77212546-33600245137211711289.95%172174322.64126181091940110161500.00%000000.5300000632
7Steven KampferWranglers (CGY)D5373845-75801547811247936.25%92101419.15671368109000093110.00%000000.8900000242
8Riley BarberWranglers (CGY)RW43271441-1712051781654714516.36%1494722.047512261121015853052.31%13000110.8701000342
9Danny O'ReganWranglers (CGY)C6320214110206134140329314.29%875612.002027280000165155.82%100500001.0800000301
10Xavier BourgaultWranglers (CGY)RW52122739-66049110167461307.19%1683015.961237230003450057.69%10400000.9400000211
11Dennis CholowskiWranglers (CGY)D65102737103201126611032789.09%84144522.244610461700111165100.00%000000.5100000017
12Ross JohnstonWranglers (CGY)LW541423377521018465133247910.53%1675714.04022930000071042.86%4200000.9800200322
13Sheldon RempalWranglers (CGY)RW531720375401575147479211.56%1076714.4921324640000110144.44%6300000.9600000111
14Maxime LajoieWranglers (CGY)D7442832-433201419112254993.28%128153220.7121012601410001120000.00%000000.4200000002
15Garrett WilsonWranglers (CGY)LW/RW389172645151235710829728.33%1374019.4904415930001313048.89%4500000.7011100122
16Ryan SchmelzerWranglers (CGY)C7591625860364660173515.00%83294.4000012000080152.03%12300001.5200000101
17Mike VecchioneWranglers (CGY)C/RW817182540016737723699.09%64105.0700000000000051.34%33500001.2200000000
18Cam DineenWranglers (CGY)D3322123-610033564313334.65%4874622.630772381000083000.00%000000.6200000101
19Elliot DesnoyersWranglers (CGY)LW671210224100214364154518.75%94606.87000180000290145.83%2400000.9600000101
20Kyle RauWranglers (CGY)LW7981321580123057244714.04%53143.99011140000110064.29%4200001.3301000012
21Joel KivirantaWranglers (CGY)LW2971017180505710031727.00%459920.6602216760000362034.38%6400000.5701000131
22Tyler PitlickWranglers (CGY)C/LW/RW282911-158060946226603.23%962622.381457700002770052.21%67800000.3501000000
23Jan MysakWranglers (CGY)C46178020420128208.33%132144.6600009000010042.86%9800000.7500000000
24Cole BardreauWranglers (CGY)C32404-28013333671711.11%52226.9500011000010044.93%27600000.3601000000
25Dakota JoshuaFlamesC3112000512123158.33%27324.43101280000110059.68%12400000.5500000000
26Cameron HebigWranglers (CGY)C/LW/RW2011100000010.00%094.890000000001000.00%000002.0400000000
27Tim SchallerWranglers (CGY)C/LW/RW51010201273114.29%0255.0500000000000040.00%1000000.7900000000
28Evan PoleiWranglers (CGY)LW2000000000010.00%152.8800000000000040.00%500000.0000000000
29Daniil ChaykaWranglers (CGY)D3000120122030.00%23812.770000000000000.00%000000.0000000000
30Oliver WahlstromFlamesRW1000-300026120.00%02121.77000230000000100.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne1391301537838-8755725202019182878884211610.46%9522087815.0162891516241795134191478311352.62%429900130.80210401393742
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
1Olle Eriksson EkWranglers (CGY)46152340.8894.2624632117515720230.0000444130
2Kyle KeyserWranglers (CGY)46141950.9123.7723224114616600220.55693771330
3Shane StarrettWranglers (CGY)10000.8136.6727003160000.000006000
Statistiques d’équipe totales ou en moyenne93294290.9004.0448136232432480450.55698181460


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
Andrew NielsenWranglers (CGY)D2711/13/1996No210 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Byron FroeseWranglers (CGY)C/RW323/12/1991No202 Lbs6 ft1NoNoNo2Pro & Farm821,000$821,000$0$0$No821,000$Lien / Lien NHL
Cam Dineen (contrat à 1 volet)Wranglers (CGY)D256/19/1998Yes188 Lbs5 ft11NoNoNo2Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$Lien / Lien NHL
Cameron HebigWranglers (CGY)C/LW/RW261/21/1997Yes184 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Cole BardreauWranglers (CGY)C307/22/1993No186 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Daniil ChaykaWranglers (CGY)D2110/22/2002Yes187 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Danny O'ReganWranglers (CGY)C291/30/1994No180 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Dennis Cholowski (contrat à 1 volet)Wranglers (CGY)D252/15/1998No210 Lbs6 ft2NoNoNo2Pro & Farm1,275,000$1,275,000$1,275,000$0$No1,275,000$Lien / Lien NHL
Elliot DesnoyersWranglers (CGY)LW211/21/2002Yes183 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Ethan KeppenWranglers (CGY)LW223/20/2001Yes212 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Evan PoleiWranglers (CGY)LW272/19/1996Yes270 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Garrett WilsonWranglers (CGY)LW/RW323/16/1991No218 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Gustav Olofsson (contrat à 1 volet)Wranglers (CGY)D2912/1/1994No199 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$1,100,000$Lien / Lien NHL
Jan MysakWranglers (CGY)C216/4/2002Yes175 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jeff MalottWranglers (CGY)LW278/7/1996Yes201 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Joel Kiviranta (contrat à 1 volet)Wranglers (CGY)LW273/23/1996No185 Lbs5 ft11NoNoNo3Pro & Farm1,750,000$1,750,000$1,750,000$0$No1,750,000$1,750,000$Lien / Lien NHL
Jordan HarrisWranglers (CGY)D237/7/2000Yes189 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Kyle KeyserWranglers (CGY)G243/8/1999Yes178 Lbs6 ft2NoNoNo3Pro & Farm750,000$999,000$0$0$No750,000$750,000$Lien / Lien NHL
Kyle RauWranglers (CGY)LW3110/24/1992No171 Lbs5 ft9NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Maxime LajoieWranglers (CGY)D2611/5/1997No196 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Mike VecchioneWranglers (CGY)C/RW302/25/1993No193 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Mitch EliotWranglers (CGY)D252/6/1998Yes190 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Olle Eriksson EkWranglers (CGY)G246/22/1999Yes189 Lbs6 ft3NoNoNo4Pro & Farm925,000$925,000$0$0$No1,100,000$1,100,000$1,100,000$Lien / Lien NHL
Riley BarberWranglers (CGY)RW292/7/1994No199 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Ross JohnstonWranglers (CGY)LW292/18/1994No230 Lbs6 ft5NoNoNo3Pro & Farm920,100$920,100$0$0$No920,100$920,100$Lien / Lien NHL
Ryan SchmelzerWranglers (CGY)C307/28/1993No188 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Shane StarrettWranglers (CGY)G297/12/1994 5:07:08 AMYes194 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Sheldon RempalWranglers (CGY)RW288/7/1995No165 Lbs5 ft10NoNoNo3Pro & Farm867,800$867,800$0$0$No867,800$867,800$Lien / Lien NHL
Steven KampferWranglers (CGY)D359/24/1988Yes198 Lbs5 ft11NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Tim SchallerWranglers (CGY)C/LW/RW3311/16/1990No204 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Travis BarronWranglers (CGY)LW2511/17/1998No205 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Tyler PitlickWranglers (CGY)C/LW/RW3211/1/1991No200 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
William DufourWranglers (CGY)RW211/28/2002Yes215 Lbs6 ft2NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Xavier BourgaultWranglers (CGY)RW2110/22/2002Yes172 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3426.94196 Lbs6 ft12.68887,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel KivirantaTyler PitlickRiley Barber40122
2Garrett WilsonByron FroeseSheldon Rempal30122
3Ross JohnstonDanny O'ReganWilliam Dufour20122
4Jeff MalottCole BardreauMike Vecchione10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiJordan Harris40122
2Cam DineenGustav Olofsson30122
3Maxime LajoieJeff Malott20122
4Dennis CholowskiJordan Harris10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel KivirantaTyler PitlickRiley Barber60122
2Garrett WilsonByron FroeseSheldon Rempal40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiJordan Harris60122
2Cam DineenGustav Olofsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickRiley Barber60122
2Joel KivirantaByron Froese40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiJordan Harris60122
2Cam DineenGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Pitlick60122Dennis CholowskiJordan Harris60122
2Riley Barber40122Cam DineenGustav Olofsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickRiley Barber60122
2Joel KivirantaByron Froese40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiJordan Harris60122
2Cam DineenGustav Olofsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaTyler PitlickRiley BarberDennis CholowskiJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaTyler PitlickRiley BarberDennis CholowskiJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Schmelzer, Kyle Rau, Danny O'ReganRyan Schmelzer, Kyle RauDanny O'Regan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Lajoie, Cam Dineen, Gustav OlofssonMaxime LajoieCam Dineen, Gustav Olofsson
Tirs de pénalité
Tyler Pitlick, Riley Barber, Joel Kiviranta, Byron Froese, Garrett Wilson
Gardien
#1 : Kyle Keyser, #2 : Olle Eriksson Ek
Lignes d’attaque personnalisées en prolongation
Tyler Pitlick, Riley Barber, Joel Kiviranta, Byron Froese, Garrett Wilson, Danny O'Regan, Danny O'Regan, Ross Johnston, Jeff Malott, Sheldon Rempal, William Dufour
Lignes de défense personnalisées en prolongation
Dennis Cholowski, Jordan Harris, Cam Dineen, Gustav Olofsson, Maxime Lajoie


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
1Admirals312000001013-31100000032120200000711-420.33310172700106937569910189719722813840247510220.00%11372.73%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
2Americans2020000079-21010000023-11010000056-100.00071320001069375661101897197228761921645240.00%8275.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
3Barracuda312000001113-221100000101001010000013-220.33311213200106937569910189719722811333287711218.18%14378.57%11337296445.11%1428325343.90%619141343.81%1873131320535951026500
4Bears20100100710-31010000024-21000010056-110.25071421001069375685101897197228723217505240.00%6183.33%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
5Bruins21100000990110000007341010000026-420.50091827001069375674101897197228521864411218.18%2150.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
6Checkers22000000826110000004221100000040441.0008122001106937568110189719722863136527228.57%3166.67%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
7Comets404000001020-1020200000611-52020000049-500.00010172710106937561301018971972281735535110900.00%13469.23%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
8Condors413000001119-820200000310-72110000089-120.2501122331010693756127101897197228192543186500.00%13192.31%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
9Crunch2020000036-31010000023-11010000013-200.000358001069375662101897197228682910586116.67%4175.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
10Devils210010001174110000005231000100065141.00011203100106937561151018971972286618852500.00%4175.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
11Eagles30200100715-81000010045-120200000310-710.1677101700106937561231018971972281342718921100.00%9277.78%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
12Firebirds403010001423-920101000510-520200000913-420.2501427410010693756131101897197228163472611713430.77%11645.45%11337296445.11%1428325343.90%619141343.81%1873131320535951026500
13Griffins211000007701010000014-31100000063320.50071421001069375666101897197228661810415240.00%4175.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
14Gulls31101000101001010000024-22100100086240.66710182810106937561231018971972281153920731815.56%8275.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
15IceHogs30200100815-71010000026-42010010069-310.16781624001069375611510189719722812937187014321.43%8187.50%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
16Marlies20100100710-31000010056-11010000024-210.2507142110106937567210189719722896366417114.29%30100.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
17Monsters2010100067-11010000013-21000100054120.50061218001069375694101897197228944112647228.57%6266.67%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
18Moose320001001712521000100131121100000041350.83317324900106937561351018971972281433514829333.33%7185.71%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
19Penguins2110000078-11010000024-21100000054120.50071320001069375668101897197228692510467114.29%5180.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
20Phantoms211000001114-31100000054110100000610-420.500112031001069375680101897197228106388615240.00%4325.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
21Reign412000011416-2211000009812010000158-330.37514274100106937561441018971972281583730871218.33%13192.31%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
22Roadrunners32100000853211000005321100000032140.66781523011069375611910189719722811537187013323.08%30100.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
23Rocket21100000761110000004221010000034-120.5007121900106937566610189719722859206297228.57%30100.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
24Senators20200000510-51010000025-31010000035-200.0005914101069375674101897197228972114616116.67%7271.43%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
25Silver Knights4200020015141210001008712100010077060.750152742001069375614510189719722814643169915213.33%7185.71%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
26Sound Tigers21100000510-51010000018-71100000042220.500510150010693756851018971972281012918535120.00%9455.56%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
27Stars30300000614-82020000028-61010000046-200.000611170010693756941018971972281333424871119.09%12283.33%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
28Thunderbirds311010001617-121001000131031010000037-440.66716284400106937561011018971972281313320786116.67%8625.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
29Wild31100001811-3110000005322010000138-530.500815230010693756891018971972281684828907228.57%14378.57%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
30Wolf Pack2110000046-2110000004221010000004-420.5004812001069375658101897197228742014413133.33%7271.43%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
31Wolves2100010010821000010056-11100000052330.750101929001069375665101897197228761914638450.00%70100.00%01337296445.11%1428325343.90%619141343.81%1873131320535951026500
Total82244305802279346-6741142002500142169-2741102303302137177-40680.41527951679552106937562980101897197228338699553021132635119.39%2335875.11%21337296445.11%1428325343.90%619141343.81%1873131320535951026500
_Since Last GM Reset82244305802279346-6741142002500142169-2741102303302137177-40680.41527951679552106937562980101897197228338699553021132635119.39%2335875.11%21337296445.11%1428325343.90%619141343.81%1873131320535951026500
_Vs Conference44132102602155190-352289014008696-1022512012026994-25380.43215528944410106937561570101897197228187351729311351422719.01%1352879.26%11337296445.11%1428325343.90%619141343.81%1873131320535951026500
_Vs Division266130030185115-301346002004360-171327001014255-13160.3088515924430106937568991018971972281060308186649831012.05%791877.22%21337296445.11%1428325343.90%619141343.81%1873131320535951026500

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8268L227951679529803386995530211352
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224435802279346
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114202500142169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4110233302137177
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2635119.39%2335875.11%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
10189719722810693756
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
1337296445.11%1428325343.90%619141343.81%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1873131320535951026500


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 - 2023-10-119Moose9Wranglers8BLXSommaire du match
5 - 2023-10-1425Wranglers5Penguins4AWSommaire du match
7 - 2023-10-1639Wranglers5Bears6ALXSommaire du match
10 - 2023-10-1951Wranglers5Americans6ALSommaire du match
11 - 2023-10-2063Wranglers5Monsters4AWXSommaire du match
13 - 2023-10-2280Wranglers6Griffins3AWSommaire du match
15 - 2023-10-2496Wolf Pack2Wranglers4BWSommaire du match
17 - 2023-10-26109Thunderbirds6Wranglers7BWXSommaire du match
20 - 2023-10-29129Wranglers4Condors6ALSommaire du match
23 - 2023-11-01142Stars4Wranglers1BLSommaire du match
26 - 2023-11-04170Wranglers5Firebirds8ALSommaire du match
29 - 2023-11-07186Admirals2Wranglers3BWSommaire du match
32 - 2023-11-10207Wranglers2Marlies4ALSommaire du match
33 - 2023-11-11213Wranglers3Senators5ALSommaire du match
36 - 2023-11-14231Wranglers3Rocket4ALSommaire du match
38 - 2023-11-16247Comets5Wranglers2BLSommaire du match
40 - 2023-11-18258Sound Tigers8Wranglers1BLSommaire du match
42 - 2023-11-20277Wranglers4Firebirds5ALSommaire du match
44 - 2023-11-22288Wranglers4Admirals6ALSommaire du match
46 - 2023-11-24305Wranglers4Stars6ALSommaire du match
47 - 2023-11-25315Wranglers0Eagles6ALSommaire du match
49 - 2023-11-27325Silver Knights2Wranglers4BWSommaire du match
52 - 2023-11-30351Stars4Wranglers1BLSommaire du match
54 - 2023-12-02368Comets6Wranglers4BLSommaire du match
57 - 2023-12-05385Wild3Wranglers5BWSommaire du match
59 - 2023-12-07401Wolves6Wranglers5BLXSommaire du match
61 - 2023-12-09409Devils2Wranglers5BWSommaire du match
63 - 2023-12-11431Wranglers3Eagles4ALSommaire du match
64 - 2023-12-12439Wranglers5Silver Knights6ALXSommaire du match
66 - 2023-12-14450Wranglers2Wild6ALSommaire du match
68 - 2023-12-16472Crunch3Wranglers2BLSommaire du match
70 - 2023-12-18483Checkers2Wranglers4BWSommaire du match
73 - 2023-12-21508Wranglers5Gulls4AWXSommaire du match
75 - 2023-12-23526Wranglers2Reign4ALSommaire du match
79 - 2023-12-27539Firebirds2Wranglers3BWXSommaire du match
83 - 2023-12-31570Phantoms4Wranglers5BWSommaire du match
85 - 2024-01-02578Wranglers1Wild2ALXXSommaire du match
87 - 2024-01-04595Wranglers3Admirals5ALSommaire du match
89 - 2024-01-06605Wranglers6Phantoms10ALSommaire du match
90 - 2024-01-07617Wranglers2IceHogs4ALSommaire du match
92 - 2024-01-09634Senators5Wranglers2BLSommaire du match
94 - 2024-01-11649Wranglers3Roadrunners2AWSommaire du match
96 - 2024-01-13668Wranglers2Silver Knights1AWSommaire du match
99 - 2024-01-16687Roadrunners3Wranglers2BLSommaire du match
101 - 2024-01-18697Marlies6Wranglers5BLXSommaire du match
103 - 2024-01-20716Condors5Wranglers1BLSommaire du match
106 - 2024-01-23735Thunderbirds4Wranglers6BWSommaire du match
108 - 2024-01-25753Monsters3Wranglers1BLSommaire du match
110 - 2024-01-27772IceHogs6Wranglers2BLSommaire du match
120 - 2024-02-06783Wranglers2Bruins6ALSommaire du match
122 - 2024-02-08796Wranglers6Devils5AWXSommaire du match
124 - 2024-02-10807Wranglers4Sound Tigers2AWSommaire du match
126 - 2024-02-12820Wranglers0Wolf Pack4ALSommaire du match
129 - 2024-02-15846Barracuda4Wranglers5BWSommaire du match
131 - 2024-02-17852Griffins4Wranglers1BLSommaire du match
133 - 2024-02-19873Moose2Wranglers5BWSommaire du match
136 - 2024-02-22896Bruins3Wranglers7BWSommaire du match
138 - 2024-02-24914Wranglers4Condors3AWSommaire du match
141 - 2024-02-27935Reign5Wranglers2BLSommaire du match
145 - 2024-03-02968Penguins4Wranglers2BLSommaire du match
147 - 2024-03-04980Firebirds8Wranglers2BLSommaire du match
150 - 2024-03-07999Wranglers1Crunch3ALSommaire du match
152 - 2024-03-091013Wranglers4Checkers0AWSommaire du match
153 - 2024-03-101024Wranglers5Wolves2AWSommaire du match
155 - 2024-03-121039Eagles5Wranglers4BLXSommaire du match
157 - 2024-03-141055Silver Knights5Wranglers4BLXSommaire du match
159 - 2024-03-161064Rocket2Wranglers4BWSommaire du match
161 - 2024-03-181080Bears4Wranglers2BLSommaire du match
166 - 2024-03-231120Wranglers2Comets5ALSommaire du match
167 - 2024-03-241133Americans3Wranglers2BLSommaire du match
169 - 2024-03-261143Wranglers4IceHogs5ALXSommaire du match
171 - 2024-03-281157Wranglers3Thunderbirds7ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301179Reign3Wranglers7BWSommaire du match
176 - 2024-04-021195Gulls4Wranglers2BLSommaire du match
178 - 2024-04-041209Wranglers4Moose1AWSommaire du match
180 - 2024-04-061227Condors5Wranglers2BLSommaire du match
183 - 2024-04-091251Wranglers1Barracuda3ALSommaire du match
185 - 2024-04-111264Wranglers3Reign4ALXXSommaire du match
186 - 2024-04-121268Wranglers3Gulls2AWSommaire du match
188 - 2024-04-141286Roadrunners0Wranglers3BWSommaire du match
190 - 2024-04-161302Wranglers2Comets4ALSommaire du match
192 - 2024-04-181309Barracuda6Wranglers5BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,97240,444
Assistance PCT98.75%98.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2961 - 98.71% 80,212$3,288,702$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,042,103$ 2,495,890$ 2,240,790$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,999$ 2,038,251$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 18,208$ 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
1Maxime Lajoie23234130164-481003823204287.94%393491021.171826442030115300.00%10.6700
2Sheldon Rempal13547561039105422144510.56%34246418.26108188310115150.00%00.8412
3Dakota Joshua1564853101157030336744010.91%40247815.892352200059157.17%30.8214
4CJ Suess15738589612161241984049.41%31261016.633161951112112254.24%00.7413
5Cam Dineen183197695-37581992282128.96%255347518.9981624800223110.00%00.5500

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
1Evan Fitzpatrick137586280.9023.65746012145446380270.75024
2Kyle Keyser76253260.9024.0137086124825340220.5569
3Olle Eriksson Ek62172440.8953.9930102120019090230.0000
4Tommy Nappier32000.9222.57140006770000.0000
5Shane Starrett10000.8136.6727003160000.0000

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
2382283709521282299-17411516062201501391141132103301132160-288428250578731928792142923931912102869300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
202282284505211291338-4741132104210143166-2341152401001148172-24712915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
202382244305802279346-6741142002500142169-2741102303302137177-406827951679552106937562980101897197228338699553021132635119.39%2335875.11%21337296445.11%1428325343.90%619141343.81%1873131320535951026500
Total Saison régulière246801250191534852983-1311234257012930435474-39123386807604417509-9222385215612413123314266250268680290427902899120965828101627610073014519.86%71616676.82%84412880750.10%4645955848.60%2094423849.41%578440365983175530951544

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