Wranglers
GP: 82 | W: 34 | L: 45 | OTL: 3 | P: 71
GF: 291 | GA: 338 | PP%: 17.21% | PK%: 76.19%
DG: Kevin Parisien | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Admirals
30-44-8, 68pts
3
FINAL
4 Wranglers
34-45-3, 71pts
Team Stats
OTL2StreakL1
21-16-4Home Record18-21-2
9-28-4Away Record16-24-1
4-3-3Last 10 Games4-6-0
3.37Buts par match 3.55
4.29Buts contre par match 4.12
19.25%Pourcentage en avantage numérique17.21%
75.45%Pourcentage en désavantage numérique76.19%
Barracuda
38-36-8, 84pts
4
FINAL
2 Wranglers
34-45-3, 71pts
Team Stats
SOL1StreakL1
19-17-5Home Record18-21-2
19-19-3Away Record16-24-1
5-3-2Last 10 Games4-6-0
3.90Buts par match 3.55
4.09Buts contre par match 4.12
24.69%Pourcentage en avantage numérique17.21%
74.60%Pourcentage en désavantage numérique76.19%
Meneurs d'équipe
Victoires
Evan Fitzpatrick
20
Pourcentage d’arrêts
Tommy Nappier
0.922

Statistiques d’équipe
Buts pour
291
3.55 GFG
Tirs pour
2777
33.87 Avg
Pourcentage en avantage numérique
17.2%
37 GF
Début de zone offensive
37.5%
Buts contre
338
4.12 GAA
Tirs contre
3271
39.89 Avg
Pourcentage en désavantage numérique
76.2%
65 GA
Début de la zone défensive
43.2%
Information d’équipe

Directeur généralKevin Parisien
EntraîneurMichel Therrien
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,954
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs41


Historique d'équipe

Saison actuelle34-45-3 (71PTS)
Historique967-1088-231 (0.423%)
Apparitions séries éliminatoires 4
Historique séries éliminatoires (W-L)16-17
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
1Brad Richardson0XXX100.006837806273777860856160725986780756403721,100,000$
2Pontus Aberg0XX100.00643889667385646268675558646971075630291750,000$
3Ryan Schmelzer0X100.00693987577881845865596058576974075620292900,000$
4Dakota Joshua (R)0X100.00845372588577835973606157596667075620261999,000$
5CJ Suess26X100.00613687567081765764585966576870075610281700,000$
6Evan Polei (R)0X100.00807259558978835455575860576668075610261700,000$
7Joseph Gambardella0XX100.00613886597074875866595756586971075610291750,000$
8Cameron Hebig (R)0XXX100.00593883557180895660575854566567075600251900,000$
9Justin Scott0XXX100.00693764557880795663585759556769075600271999,000$
10Zack MacEwen0XX100.00868265548474875770555655596667075600262750,000$
11Ethan Keppen (R)23X100.00643979518371645356515054526163075560213950,000$
12Cam Dineen (R)29X100.005936916570847963306658635064660756302431,100,000$
13Maxime Lajoie0X100.00663793627779836130625860496567075630251895,000$
14Trevor Carrick0X100.00664173587572905730605659466870075610281750,000$
15Joseph Duszak (R)0X100.00563975646774796230665659506567075610251925,000$
16Andrew Nielsen0X100.00664273598564635830605357506668075600263750,000$
17Niclas Almari (R)0X100.00643786537364605230535452456466075570241900,000$
Rayé
1Luke Philp0X33.41593791636977816258616059636769075620271700,000$
2Robert Carpenter (R)0XX100.00633794557267635359535255546668075580261999,000$
3Mitch Eliot (R)0X100.00634269547270795330545253506466075570241900,000$
MOYENNE D’ÉQUIPE96.6766438058767578585359575855676907561
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
1Evan Fitzpatrick (R)100.0074646585737274737274736471075640242925,000$
2Kyle Keyser (R)100.0072747376717072717072716369075630231999,000$
Rayé
1Tommy Nappier (R)100.0068717387676668676668676471075620243750,000$
2Olle Eriksson Ek (R)100.0068727381676668676668676369075610232925,000$
MOYENNE D’ÉQUIPE100.007170718270697170697170647007563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien61636664888259CAN5911,000,000$


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
1Pontus AbergWranglers (CGY)LW/RW753243751100751862769017911.59%19171022.81411154017801152126052.90%55200330.8802000513
2Maxime LajoieWranglers (CGY)D76125365540011710313844828.70%120172622.72549571680112194100.00%000000.7500000203
3Dakota JoshuaWranglers (CGY)C7624275184001391682195116110.96%18118215.560339460003844156.18%143300020.8601000614
4Luke PhilpWranglers (CGY)C67153550-100018137207461467.25%14116017.31235331100004853046.75%149100000.8601000042
5Ryan SchmelzerWranglers (CGY)C55222749-2160771491594712313.84%17124122.581781912220271635351.61%149400010.7902000470
6Cameron HebigWranglers (CGY)C/LW/RW76192948284017691414510013.48%14111014.611019460001141150.00%9200010.8600000102
7Joseph DuszakWranglers (CGY)D766414793607110059214810.17%94121215.952352461011071000.00%000000.7800000001
8Evan PoleiWranglers (CGY)LW7620224220515175721643812312.20%12112014.741238450001270050.60%8300010.7500001311
9Cam DineenWranglers (CGY)D70132841-2218073112107407812.15%108157122.466612441460003180100.00%000000.5200000202
10Justin ScottWranglers (CGY)C/LW/RW76192140-2231510970204501509.31%20123716.2813426126000013056.47%8500010.6500010011
11CJ SuessWranglers (CGY)LW751421351180487215649978.97%1884411.26123154610191061059.09%6600000.8300000011
12Trevor CarrickWranglers (CGY)D758273521560188789132618.79%95150420.06101241480112168100.00%000000.4700000041
13Joseph GambardellaWranglers (CGY)C/LW73201232-2310033871635612512.27%15122716.81336211240001612045.02%21100000.5211000220
14Zack MacEwenWranglers (CGY)C/RW7672027-1484102755411543696.09%10111814.7113418122000001060.49%8100000.4800101022
15Andrew NielsenWranglers (CGY)D70224261855145442811267.14%87101514.50000110000052000.00%000000.5100100200
16Robert CarpenterWranglers (CGY)C/LW647512100143241102217.07%13575.5800000000000053.92%31900000.6700000000
17Mitch EliotWranglers (CGY)D44189614033692511.11%122044.640000001102000.00%000000.8800000000
18Ethan KeppenWranglers (CGY)LW383253100271130101110.00%02185.7600002000010066.67%1200000.4600000001
19Niclas AlmariWranglers (CGY)D29000-8801048100.00%161565.390001200006000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne12672444456891352125164415542315686160610.54%6901992015.72295079349150935838143329551.77%591900390.6917212272424
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
1Evan FitzpatrickWranglers (CGY)55202620.9073.5729734017719080140.71475213152
2Kyle KeyserWranglers (CGY)30111310.8834.421386201028740000.00002352000
3Tommy NappierWranglers (CGY)32000.9222.57140006770000.000017000
4Olle Eriksson EkWranglers (CGY)21000.8995.2580007690000.000004000
Statistiques d’équipe totales ou en moyenne90343930.9003.8245816029229280140.71477676152


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)D2611/13/1996No210 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brad Richardson (contrat à 1 volet)Wranglers (CGY)C/LW/RW372/4/1985No190 Lbs6 ft0NoNoYes2Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$Lien / Lien NHL
CJ SuessWranglers (CGY)LW283/17/1994No190 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Cam Dineen (contrat à 1 volet)Wranglers (CGY)D246/19/1998Yes188 Lbs5 ft11NoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$0$No1,100,000$1,100,000$Lien / Lien NHL
Cameron HebigWranglers (CGY)C/LW/RW251/21/1997Yes184 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Dakota JoshuaWranglers (CGY)C265/15/1996Yes206 Lbs6 ft3NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Ethan KeppenWranglers (CGY)LW213/20/2001Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Evan FitzpatrickWranglers (CGY)G241/28/1998Yes206 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Evan PoleiWranglers (CGY)LW262/19/1996Yes270 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Joseph DuszakWranglers (CGY)D257/22/1997Yes176 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Joseph GambardellaWranglers (CGY)C/LW2912/1/1993No196 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Justin ScottWranglers (CGY)C/LW/RW278/13/1995No202 Lbs6 ft1NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Kyle KeyserWranglers (CGY)G233/8/1999Yes178 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Luke Philp (sur la masse salariale)Wranglers (CGY)C2711/6/1995No181 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$YesLien / Lien NHL
Maxime LajoieWranglers (CGY)D2511/5/1997No196 Lbs6 ft1NoNoNo1Pro & Farm895,000$895,000$0$0$NoLien / Lien NHL
Mitch EliotWranglers (CGY)D242/6/1998Yes190 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Niclas AlmariWranglers (CGY)D245/11/1998Yes180 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Olle Eriksson EkWranglers (CGY)G236/22/1999Yes189 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Pontus AbergWranglers (CGY)LW/RW299/23/1993No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Robert CarpenterWranglers (CGY)C/LW268/16/1996Yes200 Lbs5 ft11NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Ryan SchmelzerWranglers (CGY)C297/28/1993No188 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Tommy NappierWranglers (CGY)G246/22/1998Yes220 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Trevor CarrickWranglers (CGY)D287/4/1994No171 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Zack MacEwenWranglers (CGY)C/RW267/8/1996No205 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.08197 Lbs6 ft11.54875,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergRyan SchmelzerJustin Scott40122
2Joseph GambardellaZack MacEwen30122
3Evan PoleiDakota JoshuaCameron Hebig20122
4CJ SuessRyan SchmelzerEthan Keppen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie40122
2Trevor CarrickJoseph Duszak30122
3Andrew NielsenNiclas Almari20122
4Maxime Lajoie10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergRyan SchmelzerJustin Scott60122
2Joseph GambardellaZack MacEwen40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pontus AbergRyan Schmelzer60122
2Dakota Joshua40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pontus Aberg60122Maxime Lajoie60122
2Ryan Schmelzer40122Trevor CarrickJoseph Duszak40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pontus AbergRyan Schmelzer60122
2Dakota Joshua40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxime Lajoie60122
2Trevor CarrickJoseph Duszak40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus AbergRyan SchmelzerJustin ScottMaxime Lajoie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus AbergRyan SchmelzerJustin ScottMaxime Lajoie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Keppen, Evan Polei, CJ SuessEthan Keppen, Evan PoleiCJ Suess
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Nielsen, Niclas Almari, Trevor CarrickAndrew NielsenNiclas Almari, Trevor Carrick
Tirs de pénalité
Pontus Aberg, Ryan Schmelzer, , Dakota Joshua, Joseph Gambardella
Gardien
#1 : Evan Fitzpatrick, #2 : Kyle Keyser
Lignes d’attaque personnalisées en prolongation
Pontus Aberg, Ryan Schmelzer, , Dakota Joshua, Joseph Gambardella, Evan Polei, Evan Polei, CJ Suess, Justin Scott, Zack MacEwen, Cameron Hebig
Lignes de défense personnalisées en prolongation
Maxime Lajoie, , Trevor Carrick, Joseph Duszak, Andrew Nielsen


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
1Admirals32001000161062100100012751100000043161.00016274300116868361319559078992392312065600.00%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
2Americans2020000037-41010000013-21010000024-200.0003581011686836559559078992387291845500.00%9188.89%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
3Barracuda42200000111012020000058-32200000062440.50011203100116868361339559078992312739181031317.69%9277.78%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
4Bears20200000211-91010000007-71010000024-200.00024600116868367395590789923741418428225.00%7271.43%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
5Bruins2010100067-1100010004311010000024-220.5006101610116868368195590789923421612489111.11%60100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
6Checkers211000001091110000005321010000056-120.50010203000116868365195590789923811822579333.33%10460.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
7Comets404000001330-1720200000514-920200000816-800.00013243700116868361349559078992320162469910220.00%21861.90%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
8Condors321000001486211000006601100000082640.6671427410011686836117955907899231143322826233.33%10190.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
9Crunch21100000761110000004221010000034-120.5007132000116868366495590789923722412515360.00%60100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
10Devils2200000015411110000008261100000072541.00015294400116868361019559078992367163958500.00%50100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
11Eagles30200100913-420100100710-31010000023-110.16791827001168683610495590789923962720869111.11%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
12Firebirds3120000089-11010000023-12110000066020.3338152300116868368795590789923108332967800.00%11281.82%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
13Griffins20101000770100010005411010000023-120.500713200011686836769559078992375211057200.00%5340.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
14Gulls413000001319-62110000089-120200000510-520.25013223510116868361349559078992315648188313323.08%9277.78%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
15IceHogs31001010963210000106421000100032161.0009162500116868368895590789923105321658800.00%8187.50%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
16Marlies2010000159-41010000025-31000000134-110.250510150011686836629559078992384231443500.00%7185.71%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
17Monsters2110000079-2110000004311010000036-320.5007121900116868365295590789923812626534125.00%13469.23%21438281151.16%1612323949.77%732144750.59%1894131020205861033512
18Moose30300000713-61010000024-22020000059-400.00071219101168683683955907899231123321806116.67%7271.43%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
19Penguins2100010010821000010045-11100000063330.75010172700116868366995590789923762810517114.29%5180.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
20Phantoms202000001013-31010000067-11010000046-200.000102030001168683678955907899231112814453133.33%7357.14%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
21Reign41201000813-52010100056-12110000037-440.5008152300116868361459559078992316753347510110.00%15193.33%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
22Roadrunners321000001819-111000000541211000001315-240.6671834520011686836129955907899231382886710330.00%4250.00%11438281151.16%1612323949.77%732144750.59%1894131020205861033512
23Rocket22000000743110000004221100000032141.0007142100116868367395590789923782212443133.33%6183.33%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
24Senators20200000511-61010000048-41010000013-200.000591400116868367095590789923952712527228.57%5180.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
25Silver Knights413000001718-12020000059-421100000129320.25017345100116868361269559078992318135301028225.00%13376.92%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
26Sound Tigers220000001495110000008531100000064241.000142842001168683610195590789923893714633133.33%6266.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
27Stars31200000916-71010000026-421100000710-320.33391625001168683668955907899231593726775240.00%14564.29%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
28Thunderbirds33000000171071100000053222000000127561.000173249001168683694955907899231252741728225.00%13284.62%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
29Wild31200000916-721100000710-31010000026-420.33391524001168683610195590789923134371692700.00%8275.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
30Wolf Pack2020000027-51010000012-11010000015-400.0002460011686836499559078992378241959700.00%70100.00%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
31Wolves2020000037-41010000012-11010000025-300.00035800116868364895590789923661818516116.67%9366.67%01438281151.16%1612323949.77%732144750.59%1894131020205861033512
Total82284505211291338-4741132104210143166-2341152401001148172-24710.4332915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Since Last GM Reset82284505211291338-4741132104210143166-2341152401001148172-24710.4332915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Vs Conference46162404110156175-1924712031108091-1122912010007684-8430.4671562844402011686836150095590789923179049733611361111715.32%1513775.50%21438281151.16%1612323949.77%732144750.59%1894131020205861033512
_Vs Division268150110094117-231329011003956-171366000005561-6190.365941762701011686836918955907899231084298176611701420.00%811976.54%11438281151.16%1612323949.77%732144750.59%1894131020205861033512

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8271L129154083127773271926635202740
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228455211291338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113214210143166
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115241001148172
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2153717.21%2736576.19%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
9559078992311686836
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
1438281151.16%1612323949.77%732144750.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1894131020205861033512


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
3 - 2022-10-1318Eagles6Wranglers5BLXSommaire du match
5 - 2022-10-1537Wranglers8Condors2AWSommaire du match
8 - 2022-10-1855Silver Knights5Wranglers2BLSommaire du match
10 - 2022-10-2068Americans3Wranglers1BLSommaire du match
12 - 2022-10-2286Wolves2Wranglers1BLSommaire du match
15 - 2022-10-25104Penguins5Wranglers4BLXSommaire du match
19 - 2022-10-29138Condors4Wranglers1BLSommaire du match
22 - 2022-11-01155Firebirds3Wranglers2BLSommaire du match
24 - 2022-11-03169Admirals4Wranglers8BWSommaire du match
26 - 2022-11-05187Devils2Wranglers8BWSommaire du match
28 - 2022-11-07193Wranglers6Sound Tigers4AWSommaire du match
29 - 2022-11-08197Wranglers7Devils2AWSommaire du match
31 - 2022-11-10211Wranglers2Bruins4ALSommaire du match
33 - 2022-11-12236Moose4Wranglers2BLSommaire du match
35 - 2022-11-14245Reign3Wranglers1BLSommaire du match
38 - 2022-11-17260Wranglers3Crunch4ALSommaire du match
40 - 2022-11-19275Wranglers5Checkers6ALSommaire du match
42 - 2022-11-21292Wranglers4Phantoms6ALSommaire du match
44 - 2022-11-23306Wranglers6Penguins3AWSommaire du match
46 - 2022-11-25322Wranglers2Bears4ALSommaire du match
47 - 2022-11-26333Wranglers2Wolves5ALSommaire du match
50 - 2022-11-29358Checkers3Wranglers5BWSommaire du match
52 - 2022-12-01372Rocket2Wranglers4BWSommaire du match
54 - 2022-12-03390Bears7Wranglers0BLSommaire du match
56 - 2022-12-05401Roadrunners4Wranglers5BWSommaire du match
58 - 2022-12-07414Wild3Wranglers4BWSommaire du match
60 - 2022-12-09424Wranglers3Monsters6ALSommaire du match
61 - 2022-12-10438Wranglers3Marlies4ALXXSommaire du match
63 - 2022-12-12448Wranglers3Rocket2AWSommaire du match
65 - 2022-12-14468Comets7Wranglers3BLSommaire du match
67 - 2022-12-16482Thunderbirds3Wranglers5BWSommaire du match
69 - 2022-12-18501Wranglers3Barracuda1AWSommaire du match
71 - 2022-12-20517Wranglers3Barracuda1AWSommaire du match
73 - 2022-12-22531Wranglers2Reign1AWSommaire du match
74 - 2022-12-23544Wranglers2Gulls5ALSommaire du match
78 - 2022-12-27555Condors2Wranglers5BWSommaire du match
79 - 2022-12-28561Wranglers3Firebirds2AWSommaire du match
82 - 2022-12-31587Comets7Wranglers2BLSommaire du match
85 - 2023-01-03603Wranglers1Moose3ALSommaire du match
88 - 2023-01-06626Sound Tigers5Wranglers8BWSommaire du match
90 - 2023-01-08641Wranglers3IceHogs2AWXSommaire du match
92 - 2023-01-10655Wranglers5Thunderbirds2AWSommaire du match
94 - 2023-01-12670Wranglers7Thunderbirds5AWSommaire du match
96 - 2023-01-14677Wranglers2Stars6ALSommaire du match
98 - 2023-01-16703Wranglers4Admirals3AWSommaire du match
100 - 2023-01-18715Eagles4Wranglers2BLSommaire du match
103 - 2023-01-21733Crunch2Wranglers4BWSommaire du match
105 - 2023-01-23754Monsters3Wranglers4BWSommaire du match
108 - 2023-01-26777IceHogs2Wranglers3BWXXSommaire du match
109 - 2023-01-27786Wranglers3Firebirds4ALSommaire du match
119 - 2023-02-06809Wranglers1Wolf Pack5ALSommaire du match
122 - 2023-02-09825Wranglers2Griffins3ALSommaire du match
124 - 2023-02-11833Wranglers2Americans4ALSommaire du match
126 - 2023-02-13850Wranglers1Senators3ALSommaire du match
129 - 2023-02-16875Griffins4Wranglers5BWXSommaire du match
131 - 2023-02-18891Wolf Pack2Wranglers1BLSommaire du match
133 - 2023-02-20905Phantoms7Wranglers6BLSommaire du match
135 - 2023-02-22919Wranglers6Roadrunners4AWSommaire du match
136 - 2023-02-23928Wranglers8Silver Knights4AWSommaire du match
138 - 2023-02-25945Wranglers2Eagles3ALSommaire du match
141 - 2023-02-28965Bruins3Wranglers4BWXSommaire du match
143 - 2023-03-02979Marlies5Wranglers2BLSommaire du match
145 - 2023-03-04999Wild7Wranglers3BLSommaire du match
147 - 2023-03-061008Wranglers5Stars4AWSommaire du match
148 - 2023-03-071018Wranglers2Wild6ALSommaire du match
151 - 2023-03-101037Gulls5Wranglers2BLSommaire du match
153 - 2023-03-121058Senators8Wranglers4BLSommaire du match
155 - 2023-03-141072Wranglers7Roadrunners11ALSommaire du match
157 - 2023-03-161087Wranglers4Silver Knights5ALSommaire du match
159 - 2023-03-181105Stars6Wranglers2BLSommaire du match
161 - 2023-03-201119Wranglers1Reign6ALSommaire du match
162 - 2023-03-211131Wranglers3Gulls5ALSommaire du match
164 - 2023-03-231144Silver Knights4Wranglers3BLSommaire du match
166 - 2023-03-251154Barracuda4Wranglers3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
169 - 2023-03-281183Reign3Wranglers4BWXSommaire du match
172 - 2023-03-311202Wranglers4Comets9ALSommaire du match
174 - 2023-04-021225Gulls4Wranglers6BWSommaire du match
176 - 2023-04-041236IceHogs2Wranglers3BWSommaire du match
177 - 2023-04-051240Wranglers4Moose6ALSommaire du match
180 - 2023-04-081270Wranglers4Comets7ALSommaire du match
182 - 2023-04-101282Admirals3Wranglers4BWXSommaire du match
184 - 2023-04-121297Barracuda4Wranglers2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance80,88240,215
Assistance PCT98.64%98.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2954 - 98.45% 80,039$3,281,594$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,896,948$ 1,811,600$ 1,811,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,792$ 1,888,737$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,198$ 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
1Arttu Ruotsalainen45363240356468040267312150180632592012.50%226810984024.225671215178234020004864868153.55%811.24081
2Steven Kampfer6346138948206209-170548981271015247143859.66%1266215251724.03653897155067680818184327810.00%810.8100
3Maxime Lajoie6757148240435525-806232210223103771385510.70%1193513647120.209039791882708602216516410.00%820.8100
4Sheldon Rempal67242454295254063334923199119272439510.06%196013910320.69653572122548218108182407052.43%00.7881162
5CJ Suess679119723033500563670625610373204309.65%108814498621.35163113713002940181821728416552.37%00.6981244

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 Fitzpatrick6697309829424880.8993.7036642265281226142230380822470.7641384
2Jason Bacashihua278125120220.9043.041604329118138448445716120.66793
3Olle Eriksson Ek1136828100.9332.3337810001465217770000.0000
4Linus Ullmark82581580.9132.2349494518421170100.75044
5Rob Madore1415362160.8923.4779604546042592389760.63054

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
58095804243160363-203402280423190182-92407300001270181-1113916027443403038466816260452539612259991294915301734827.75%1845371.20%3488109644.53%564127544.24%575124346.26%136552518619991889964
68095504516147315-168406290220171161-90403260231576154-783914722236913032575313700338476529229876062914701703721.76%1623677.78%4563110051.18%603130246.31%525108848.25%1337481374120111909983
776154804324186315-1293882203221105162-57387260110381153-724918630549104039618019360535680689230477883617601794826.82%1886267.02%8725136753.04%671128352.30%579114150.74%132855515568101716843
876293003167252268-16381712021421331211238121801025119147-2884252409661230727497237507217878352474806147119841984924.75%2335377.25%1807159050.75%886171651.63%534114646.60%144567315617991620791
980353104343250261-1140161503231134139-540191601112116122-692250398648520611057625320757972778271883997319591724224.42%2465478.05%7851175748.43%897178750.20%586116650.26%154074316378151669817
10802539001042197236-3940121900621100120-204013200042197116-1970197320517310327982228806188088382632797159517942005025.00%2776676.17%3860173749.51%855189945.02%509107547.35%145464916578561732838
11801843011332177234-574011210422091114-23407220711286120-346917728946635021677516780424650557235579174917091604628.75%2326372.84%3576125345.97%745169044.08%45994248.73%136251616148731869933
1276263307154228237-938131702132112125-133813160502211611248122836859601054709221460561739790249079166115791685331.55%2246172.77%11762145652.34%857165951.66%528102851.36%138560015567941687862
1380264202604222298-7640152000302105145-4040112202302117153-366622235958183045868921900573803788276888861316721826133.52%2337069.96%7789157250.19%917182950.14%545109549.77%145963616278171744889
1480293703317277327-5040122102203142174-3240171601114135153-18762774517283106111696298509121070979273093380922532146128.50%2488067.74%5940188549.87%755160347.10%606121849.75%163683615878071624791
1580302507945231243-1240151304413111117-640151203532120126-69623137860911053986926110789931842259881257823121885931.38%2045075.49%5911176851.53%801162349.35%521100951.64%158275715958221697838
1676194702314214295-813872402212106151-4538122300102108144-365121438359711081646621120660723717270775463216212144119.16%2937873.38%21180229551.42%1289254750.61%616124449.52%158510442022597990465
1780165402413172308-136409240131282143-61407300110190165-754517231748911068524921980745716715283081355317272203114.09%2586873.64%01210244349.53%1194255046.82%653129950.27%1756118220266031048505
1876115601026172325-1533892401004108152-44382320002264173-1093417232049220068623918290597641580275580945714571974020.30%2104976.67%21049210149.93%1170240348.69%647125251.68%161610761989576994474
198247160437528619195412940202415683734118120235113010822124286503789050107977127330883924896213157045915622115224.64%1964776.02%31547277255.81%1404247556.73%723128656.22%2065144018386001091552
208238300463127323934412212023111401112941161802320133128597273491764530113747926860905904845251872375019312835419.08%3197476.80%01489282552.71%1528285953.45%701129953.96%2034140818676061056531
2182422903431308237714119170220115012129412312012301581164210130856186914012695813117010751034978271274753319692646022.73%2264580.09%31858312859.40%1680297056.57%740126958.31%2136153518005621017523
2282363703330276277-1412215021101481351341142201220128142-1487276491767230105818429340950971998276882046818112545320.87%2004975.50%31650306653.82%1444285850.52%711136152.24%2053144318445811051536
2382283709521282299-17411516062201501391141132103301132160-288428250578731928792142923931912102869300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-288428250578731928792142923931912102869300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
2382283709521282299-17411516062201501391141132103301132160-2884282505787310928792292309319121028300188946219602525722.62%2104379.52%31637303253.99%1605306652.35%743137853.92%2015141319105731035532
202282284505211291338-4741132104210143166-2341152401001148172-24712915408314011686836277795590789923327192663520272153717.21%2736576.19%31438281151.16%1612323949.77%732144750.59%1894131020205861033512
Total Saison régulière224874010880154116737768577998-1141112439250209658453135773873-296112434858605858284632804125-8452127685711924187816953300208022602024704302817217432370721323766672327018508517676130143523.41%6296151076.02%100344266531052.71%343176716151.10%181773501051.92%491813013652599202833676618446
Séries éliminatoires
15514000001318-52110000055030300000813-52132437000346158043516419469351369333.33%15473.33%0529654.17%5711748.72%396857.35%89411095010150
191510500000504558530000025232752000002522320509314301020131445001431361314601387628332928.13%35682.86%026648454.96%28554852.01%12725150.60%369253396120210104
20624000001625-9321000001110130300000515-1041630460008532150557767227735215020420.00%25484.00%011523249.57%11824148.96%5210649.06%14699154488039
21734000002221132100000111014130000011110622396100079625007110475210664215729517.24%19289.47%016329355.63%12424251.24%519852.04%182129153478343
Total Séries éliminatoires33161700000101109-816106000005248417611000004961-1232101186287010383129107303123683371091346205726902123.33%941682.98%0596110553.94%584114850.87%26952351.43%788523813267476237

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
1Austin Czarnik1515520543556622.73%435123.461011100006058.78%01.1400
2William Carrier1587156632246412.50%536224.16000000000135.71%00.8300
3Riley Barber156814109194313.95%241427.60022200001034.62%00.6800
4Oliver Bjorkstrand125813-8215304810.42%325621.411341200011048.08%01.0100
5Tom Kostopoulos1521113-143423296.90%331020.69156600001048.00%00.8400

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
1Linus Ullmark1510500.9022.7797521454600000.0000
2Juuse Saros73400.8943.1338400201880000.0000
3Magnus Hellberg62310.8903.9438100252270000.0000
4Kenny Reiter51310.9073.612990018194117000.0000
5Edward Pasquale10000.9551.7135001220000.0000