Connexion

Calgary Wranglers
GP: 52 | W: 19 | L: 28 | OTL: 5 | P: 43
GF: 172 | GA: 205 | PP%: 17.29% | PK%: 81.16%
DG: Pascal Rajotte | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #741 vs San Diego Gulls
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Centre de jeu
Calgary Wranglers
19-28-5, 43pts
1
FINAL
3 Manitoba Moose
29-22-1, 59pts
Team Stats
W1SéquenceL1
10-15-2Fiche domicile14-12-1
9-13-3Fiche domicile15-10-0
4-6-0Derniers 10 matchs4-6-0
3.31Buts par match 3.31
3.94Buts contre par match 3.00
17.29%Pourcentage en avantage numérique13.77%
81.16%Pourcentage en désavantage numérique81.15%
Providence Bruins
25-19-9, 59pts
3
FINAL
4 Calgary Wranglers
19-28-5, 43pts
Team Stats
OTL1SéquenceW1
14-9-4Fiche domicile10-15-2
11-10-5Fiche domicile9-13-3
3-5-2Derniers 10 matchs4-6-0
3.70Buts par match 3.31
3.98Buts contre par match 3.94
21.38%Pourcentage en avantage numérique17.29%
80.37%Pourcentage en désavantage numérique81.16%
Calgary Wranglers
19-28-5, 43pts
Jour 127
San Diego Gulls
29-21-3, 61pts
Statistiques d’équipe
W1SéquenceL1
10-15-2Fiche domicile13-10-3
9-13-3Fiche visiteur16-11-0
4-6-010 derniers matchs6-3-1
3.31Buts par match 3.89
3.94Buts contre par match 3.89
17.29%Pourcentage en avantage numérique18.87%
81.16%Pourcentage en désavantage numérique76.80%
Calgary Wranglers
19-28-5, 43pts
Jour 130
Colorado Eagles
28-18-6, 62pts
Statistiques d’équipe
W1SéquenceL1
10-15-2Fiche domicile12-9-4
9-13-3Fiche visiteur16-9-2
4-6-010 derniers matchs6-2-2
3.31Buts par match 3.75
3.94Buts contre par match 3.75
17.29%Pourcentage en avantage numérique26.19%
81.16%Pourcentage en désavantage numérique80.10%
Calgary Wranglers
19-28-5, 43pts
Jour 132
Ontario Reign
31-13-9, 71pts
Statistiques d’équipe
W1SéquenceW6
10-15-2Fiche domicile14-9-3
9-13-3Fiche visiteur17-4-6
4-6-010 derniers matchs7-2-1
3.31Buts par match 3.94
3.94Buts contre par match 3.94
17.29%Pourcentage en avantage numérique16.67%
81.16%Pourcentage en désavantage numérique70.91%
Meneurs d'équipe
Buts
Jan Mysak
25
Passes
Niklas Hansson
33
Points
Jan Mysak
49
Plus/Moins
Jan Mysak
0
Victoires
Daniil Chechelev
14
Pourcentage d’arrêts
Patrik Bartosak
0.92

Statistiques d’équipe
Buts pour
172
3.31 GFG
Tirs pour
1913
36.79 Avg
Pourcentage en avantage numérique
17.3%
23 GF
Début de zone offensive
37.2%
Buts contre
205
3.94 GAA
Tirs contre
2138
41.12 Avg
Pourcentage en désavantage numérique
81.2%%
26 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralPascal Rajotte
EntraîneurDale Hunter
DivisionWestern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance9,482
Billets de saison4,000


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 75
Espoirs0


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
1Boone Jenner XX100.009056758580808368876569676888934799690301920,000$
2Christian ThomasX100.004599888708183745266746370808045996803011,000,000$
3Ryan Suzuki (R)X100.006934747174676970776865686552667999650201650,000$
4Denis Smirnov (R)XX96.007542687971737268516065616573764499640262575,000$
5Roni Hirvonen (R)X97.006327787970697170786565666551446399630213700,000$
6Dillon Dube (R)X100.006633787774747759855558716357606299630253550,000$
7Jan Mysak (R)XX100.007338667871656669776470666947447799630211500,000$
8Reid Boucher XX100.004716938475818350774457647278824099620301510,000$
9Julien Gauthier (R)X100.007644767286757952494758686858636899610252510,000$
10Jonah Gadjovich (R)X100.007542757083737554534960676857616699610243550,000$
11Kristian Røykas Marthinsen (R)X100.005623857975767959474561646849484699600243510,000$
12Marcus Karlström X100.0055169689778682755970736667666831996902831,000,000$
13Niklas Hansson X100.004811988873838381567971645562674499690282950,000$
14Roland McKeown (R)X100.0082517681758082645467636864657753996902711,000,000$
15Mitch Eliot (R)X100.007340767373808374517474607048554699670252850,000$
16Stephen Desrochers (R)X100.006729847878818361546561686471844199670271835,000$
17Jake Christiansen (R)X100.007639776976828267557171637158675899660243750,000$
18Luke MartinX100.006934786480656951524947755072756399640253800,000$
19Adam Ollas MattssonX100.006328867881818235543331675075664399620283510,000$
20Nolan Allan (R)X100.006330766977687247505454745737395899610201650,000$
Rayé
1Alexander Khovanov (R)X95.0072416767756971747772696965676762996502351,250,000$
2Kevin Stenlund (R)X95.007541798081767864865661666560575999640262525,000$
MOYENNE D’ÉQUIPE99.23673380777676776363606367656265549965
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
1Daniil Chechelev (R)99.00807979808085858282777845477099640221650,000$
2Jakub Malek (R)100.00797773748180808080777836407299610212500,000$
Rayé
1Patrik Bartosak100.008185818490898993937778676845997003011,000,000$
MOYENNE D’ÉQUIPE99.6780807879848585858577784952629965
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter82838283979778USA645250,000$


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 MysakCalgary Wranglers (CGY)C/LW52252449044074672125111511.79%3188116.9534716640000131040.68%594315001.1100000332
2Kevin StenlundCalgary Wranglers (CGY)C35142337-41005464122336111.48%2875721.6432514681012412251.43%6302521000.9800000211
3Niklas Hansson Calgary Wranglers (CGY)D3243337-20093710541533.81%3768421.39210122764101675000%01924001.0800000120
4Alexander KhovanovCalgary Wranglers (CGY)C45122436-4240767413430968.96%2383818.641238471014731048.75%7982220000.8600000241
5Roni HirvonenCalgary Wranglers (CGY)C52151934-11100586716456899.15%3077014.82022027000182047.89%9253424000.8801000122
6Christian ThomasCalgary Wranglers (CGY)RW18151631-1001820131357011.45%1645525.321678380223401031.53%1111613011.3600000312
7Denis SmirnovCalgary Wranglers (CGY)LW/RW37171128-12807543135449612.59%2878321.1842619800002661140.35%1142018010.7100000212
8Roland McKeownCalgary Wranglers (CGY)D4752126-10100504910333494.85%5184317.95314856022163010%01737000.6200000022
9Reid Boucher Calgary Wranglers (CGY)C/LW5271219-142024398626498.14%1768513.19000001012351050.00%401918000.5500000003
10Marcus Karlström Calgary Wranglers (CGY)D3241519-32011356530266.15%5363919.97123924011577000%01927000.5900000001
11Dillon DubeCalgary Wranglers (CGY)C5211516-17603342102227110.78%1452710.1500004000062152.85%2632214000.6101000021
12Ryan SuzukiCalgary Wranglers (CGY)C157714080212464203410.94%1635423.621128391012331047.62%35787000.7900000111
13Mitch EliotCalgary Wranglers (CGY)D5221012-628030297326252.74%2469513.380000900008010%02630000.3500000010
14Stephen DesrochersCalgary Wranglers (CGY)D5101212-810026504828310%6278915.48033657011052000%0729000.3000000000
15Jake ChristiansenCalgary Wranglers (CGY)D5211011-58019203315163.03%3253610.320000900009000%0614000.4100000001
16Julien GauthierCalgary Wranglers (CGY)RW526511-2180795144172513.64%3787016.74011465000001042.37%59412000.2500000010
17Jonah GadjovichCalgary Wranglers (CGY)LW52246-162023204414294.55%113787.2700000000001050.00%1095000.3200000000
18Nolan AllanCalgary Wranglers (CGY)D52112-1000140025.00%1701.3511213600003000%001000.5700000000
19Kristian Røykas MarthinsenCalgary Wranglers (CGY)LW52101-5205493711.11%11522.94000140000151024.00%2512000.1300000000
20Luke MartinCalgary Wranglers (CGY)D52000-146081614660%303035.830000000000000%00900000000000
21Adam Ollas MattssonCalgary Wranglers (CGY)D52000-1200443000%71753.380000000005000%01000000000000
Statistiques d’équipe totales ou en moyenne936149252401-136218069775616955309488.79%5491219413.0320375712970056112863215647.95%3391318340020.6602000152119
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
1Daniil ChechelevCalgary Wranglers (CGY)39141930.9003.932230201461467712100.50023813610
2Patrik BartosakCalgary Wranglers (CGY)103520.9203.6557600354361990000102300
3Jakub MalekCalgary Wranglers (CGY)62400.9024.2732300232351310000436010
Statistiques d’équipe totales ou en moyenne55192850.9053.91313020204213810421025251920


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam Ollas MattssonCalgary Wranglers (CGY)D281986-10-20 08:58:14No229 Lbs6 ft4NoNoN/ANoNo3Pro & Farm510,000$171,789$0$0$No510,000$510,000$-------NoNo-------
Alexander Khovanov (sur la masse salariale)Calgary Wranglers (CGY)C231991-08-31 21:38:45Yes204 Lbs5 ft11NoNoTrade2024-01-01NoNo5Pro & Farm1,250,000$421,053$0$0$No1,250,000$1,250,000$1,250,000$1,250,000$-----NoNoNoNo-----
Boone Jenner Calgary Wranglers (CGY)C/LW301984-10-14 10:39:48No225 Lbs6 ft1NoNoN/ANoNo1Pro & Farm920,000$309,895$0$0$No------------------
Christian ThomasCalgary Wranglers (CGY)RW301985-05-26 06:24:51No179 Lbs5 ft9NoNoN/ANoNo1Pro & Farm1,000,000$336,842$0$0$No------------------
Daniil ChechelevCalgary Wranglers (CGY)G221992-10-04 11:22:24Yes188 Lbs6 ft2NoNoN/ANoNo1Pro & Farm650,000$218,947$0$0$No------------------
Denis SmirnovCalgary Wranglers (CGY)LW/RW261988-10-04 05:17:58Yes192 Lbs5 ft9NoNoN/ANoNo2Pro & Farm575,000$193,684$0$0$No575,000$--------No--------
Dillon DubeCalgary Wranglers (CGY)C251989-09-19 10:27:51Yes199 Lbs6 ft0NoNoN/ANoNo3Pro & Farm550,000$185,263$0$0$No550,000$550,000$-------NoNo-------
Jake ChristiansenCalgary Wranglers (CGY)D241990-08-31 21:06:15Yes201 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$252,632$0$0$No750,000$750,000$-------NoNo-------
Jakub MalekCalgary Wranglers (CGY)G211993-08-31 09:11:33Yes176 Lbs6 ft5NoNoN/ANoNo2Pro & Farm500,000$168,421$0$0$No500,000$--------No--------
Jan MysakCalgary Wranglers (CGY)C/LW211993-10-04 11:28:08Yes182 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,000$168,421$0$0$No------------------
Jonah GadjovichCalgary Wranglers (CGY)LW241990-09-19 10:59:27Yes233 Lbs6 ft5NoNoN/ANoNo3Pro & Farm550,000$185,263$0$0$No550,000$550,000$-------NoNo-------
Julien GauthierCalgary Wranglers (CGY)RW251989-10-17 15:39:15Yes245 Lbs6 ft10NoNoN/ANoNo2Pro & Farm510,000$171,789$0$0$No510,000$--------No--------
Kevin Stenlund (sur la masse salariale)Calgary Wranglers (CGY)C261988-09-29 16:12:16Yes217 Lbs6 ft6NoNoN/ANoNo2Pro & Farm525,000$176,842$0$0$No525,000$--------No--------
Kristian Røykas MarthinsenCalgary Wranglers (CGY)LW241990-09-19 10:33:07Yes204 Lbs6 ft0NoNoN/ANoNo3Pro & Farm510,000$171,789$0$0$No510,000$510,000$-------NoNo-------
Luke MartinCalgary Wranglers (CGY)D251989-08-31 20:25:22No226 Lbs6 ft2NoNoN/ANoNo3Pro & Farm800,000$269,474$0$0$No800,000$800,000$-------NoNo-------
Marcus Karlström Calgary Wranglers (CGY)D281986-10-14 11:51:57No208 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,000,000$336,842$0$0$No1,000,000$1,000,000$-------NoNo-------
Mitch EliotCalgary Wranglers (CGY)D251989-10-04 04:52:15Yes198 Lbs6 ft0NoNoN/ANoNo2Pro & Farm850,000$286,316$0$0$No850,000$--------No--------
Niklas Hansson Calgary Wranglers (CGY)D281986-10-14 12:14:34No182 Lbs6 ft1NoNoN/ANoNo2Pro & Farm950,000$320,000$0$0$No950,000$--------No--------
Nolan AllanCalgary Wranglers (CGY)D201994-10-04 11:24:43Yes203 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$218,947$0$0$No------------------
Patrik BartosakCalgary Wranglers (CGY)G301984-10-05 14:30:57No211 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$336,842$0$0$No------------------
Reid Boucher Calgary Wranglers (CGY)C/LW301984-10-14 10:28:58No214 Lbs5 ft10NoNoN/ANoNo1Pro & Farm510,000$171,789$0$0$No------------------
Roland McKeownCalgary Wranglers (CGY)D271987-10-05 15:56:25Yes208 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$336,842$0$0$No------------------
Roni HirvonenCalgary Wranglers (CGY)C211993-08-31 21:29:48Yes174 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$235,789$0$0$No700,000$700,000$-------NoNo-------
Ryan SuzukiCalgary Wranglers (CGY)C201994-09-18 05:14:44Yes183 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$218,947$0$0$No------------------
Stephen DesrochersCalgary Wranglers (CGY)D271987-09-19 11:07:43Yes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm835,000$281,263$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.20204 Lbs6 ft22.04729,800$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis SmirnovBoone Jenner Christian Thomas30122
2Jan MysakRoni HirvonenJulien Gauthier30122
3Reid Boucher Ryan SuzukiDenis Smirnov30122
4Jonah GadjovichRoni HirvonenDenis Smirnov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niklas Hansson Roland McKeown30122
2Marcus Karlström Stephen Desrochers30122
3Mitch EliotMarcus Karlström 30122
4Luke MartinAdam Ollas Mattsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis SmirnovBoone Jenner Christian Thomas50122
2Jan MysakRoni HirvonenJulien Gauthier50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus Karlström Mitch Eliot50122
2Nolan AllanStephen Desrochers50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Roni HirvonenDillon Dube50122
2Jan MysakDenis Smirnov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch EliotNiklas Hansson 50122
2Marcus Karlström Stephen Desrochers50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Denis Smirnov50122Marcus Karlström Mitch Eliot50122
2Kristian Røykas Marthinsen50122Niklas Hansson Stephen Desrochers50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jan MysakJulien Gauthier50122
2Dillon DubeDenis Smirnov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitch EliotMarcus Karlström 50122
2Nolan AllanStephen Desrochers50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis SmirnovBoone Jenner Christian ThomasNiklas Hansson Marcus Karlström
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis SmirnovBoone Jenner Christian ThomasNiklas Hansson Marcus Karlström
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Dube, Kristian Røykas Marthinsen, Denis SmirnovDillon Dube, Kristian Røykas MarthinsenDenis Smirnov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nolan Allan, Mitch Eliot, Stephen DesrochersNolan AllanMitch Eliot, Stephen Desrochers
Tirs de pénalité
Julien Gauthier, Boone Jenner , Kristian Røykas Marthinsen, Denis Smirnov, Christian Thomas
Gardien
#1 : Daniil Chechelev, #2 : Jakub Malek
Lignes d’attaque personnalisées en prolongation
Kristian Røykas Marthinsen, Boone Jenner , Jonah Gadjovich, Denis Smirnov, Christian Thomas, Roni Hirvonen, Roni Hirvonen, Dillon Dube, Jan Mysak, Reid Boucher , Julien Gauthier
Lignes de défense personnalisées en prolongation
Marcus Karlström , Luke Martin, Adam Ollas Mattsson, Stephen Desrochers, Mitch Eliot


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
1Abbotsford's Canucks201010007701010000034-11000100043120.50071118004852666856346506131975341636200.00%8187.50%1588131344.78%594137743.14%36184342.82%10415911167471929453
2Bakersfield Condors2020000058-31010000034-11010000024-200.00059140048526665663465061319713114389222.22%70100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
3Belleville Senators21100000550110000004131010000014-320.5005813004852666626346506131985316316116.67%30100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
4Bridgeport's Islanders2020000039-61010000015-41010000024-200.000347004852666846346506131983192033500.00%10190.00%1588131344.78%594137743.14%36184342.82%10415911167471929453
5Charlotte Checkers211000001275110000009361010000034-120.5001222340048526667463465061319812412262150.00%6266.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
6Chicago Wolves210001009631000010034-11100000062430.7509152400485266693634650613197021639300.00%3166.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
7Colorado Eagles1010000034-11010000034-10000000000000.00034700485266648634650613193323616300.00%3166.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
8Grand Rapids Griffins2010010047-31000010023-11010000024-210.2504812004852666776346506131986401231400.00%6183.33%0588131344.78%594137743.14%36184342.82%10415911167471929453
9Hartford Wolfpack2010100078-1100010004311010000035-220.500714210048526666963465061319873018324125.00%9277.78%0588131344.78%594137743.14%36184342.82%10415911167471929453
10Henderson Silver Knights2010010079-21010000045-11000010034-110.250713200048526668863465061319792212365120.00%6183.33%0588131344.78%594137743.14%36184342.82%10415911167471929453
11Hershey Bears22000000743110000003211100000042241.00071320004852666626346506131995294284125.00%2150.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
12Iowa Wild21100000610-41010000039-61100000031220.500610160048526669163465061319802012307114.29%6266.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
13Laval Rocket21000001550110000004311000000112-130.750581300485266665634650613198821432400.00%20100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
14Lehigh Valley Phantoms2110000057-21010000015-41100000042220.50059140048526663763465061319891712406116.67%6183.33%0588131344.78%594137743.14%36184342.82%10415911167471929453
15Manitoba Moose2020000037-41010000024-21010000013-200.00035800485266664634650613196124231300.00%10100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
16Ontario Reign2110000067-11010000036-31100000031220.50061016004852666796346506131975198246116.67%40100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
17Providence Bruins200020001192100010004311000100076141.000111627004852666786346506131978258268337.50%40100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
18Rochester Americans20101000912-3100010004311010000059-420.50091423004852666706346506131994308354250.00%4325.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
19Rockford IceHogs2020000047-31010000012-11010000035-200.0004610004852666686346506131991301228600.00%60100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
20San Diego Gulls 1010000014-31010000014-30000000000000.00011200485266632634650613194816214300.00%10100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
21San Jose Barracuda2020000069-31010000046-21010000023-100.00061117004852666646346506131984266298112.50%3166.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
22Springfield Thunderbirds20200000815-71010000038-51010000057-200.00081220004852666726346506131993251235700.00%6266.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
23Syracuse Crunch220000001367110000007251100000064241.0001325380048526661026346506131972284265240.00%20100.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
24Texas Stars2020000027-51010000002-21010000025-300.000235004852666646346506131983301027300.00%5180.00%0588131344.78%594137743.14%36184342.82%10415911167471929453
25Toronto Marlies211000008801010000035-21100000053220.500816240048526666763465061319842712337342.86%60100.00%1588131344.78%594137743.14%36184342.82%10415911167471929453
26Utica Comets20001100880100010003211000010056-130.750814220048526667263465061319832626334250.00%13376.92%1588131344.78%594137743.14%36184342.82%10415911167471929453
27Wilkes-Barre/Scranton Penguins21100000810-2110000005411010000036-320.50081523004852666906346506131990221229500.00%6266.67%0588131344.78%594137743.14%36184342.82%10415911167471929453
Total52132806401172205-33276150420087106-1925713022018599-14430.41317229646800485266619136346506131921386902768181332317.29%1382681.16%4588131344.78%594137743.14%36184342.82%10415911167471929453
_Since Last GM Reset52132806401172205-33276150420087106-1925713022018599-14430.41317229646800485266619136346506131921386902768181332317.29%1382681.16%4588131344.78%594137743.14%36184342.82%10415911167471929453
_Vs Conference52132806401172205-33276150420087106-1925713022018599-14430.41317229646800485266619136346506131921386902768181332317.29%1382681.16%4588131344.78%594137743.14%36184342.82%10415911167471929453
_Vs Division22318012005894-3612111001003058-281027011002836-8100.2275895153004852666811634650613198733001123446269.68%56983.93%1588131344.78%594137743.14%36184342.82%10415911167471929453

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5243W11722964681913213869027681800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5213286401172205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
27615420087106
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2571322018599
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
1332317.29%1382681.16%4
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
634650613194852666
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
588131344.78%594137743.14%36184342.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10415911167471929453


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
111Calgary Wranglers2San Jose Barracuda3ALSommaire du match
318San Diego Gulls 4Calgary Wranglers1BLSommaire du match
423Bakersfield Condors4Calgary Wranglers3BLSommaire du match
638Colorado Eagles4Calgary Wranglers3BLSommaire du match
956Bridgeport's Islanders5Calgary Wranglers1BLSommaire du match
1062Calgary Wranglers3Rockford IceHogs5ALSommaire du match
1273Calgary Wranglers3Ontario Reign1AWSommaire du match
1592Chicago Wolves4Calgary Wranglers3BLXSommaire du match
18110Belleville Senators1Calgary Wranglers4BWSommaire du match
20121Calgary Wranglers5Rochester Americans9ALSommaire du match
23134Charlotte Checkers3Calgary Wranglers9BWSommaire du match
26155Utica Comets2Calgary Wranglers3BWXSommaire du match
28165Iowa Wild9Calgary Wranglers3BLSommaire du match
30176Syracuse Crunch2Calgary Wranglers7BWSommaire du match
33194Calgary Wranglers2Bridgeport's Islanders4ALSommaire du match
34200Calgary Wranglers3Wilkes-Barre/Scranton Penguins6ALSommaire du match
36210Abbotsford's Canucks4Calgary Wranglers3BLSommaire du match
38223Calgary Wranglers2Grand Rapids Griffins4ALSommaire du match
42245Henderson Silver Knights5Calgary Wranglers4BLSommaire du match
45262San Jose Barracuda6Calgary Wranglers4BLSommaire du match
46271Calgary Wranglers3Iowa Wild1AWSommaire du match
50296Ontario Reign6Calgary Wranglers3BLSommaire du match
52306Calgary Wranglers2Texas Stars5ALSommaire du match
55322Hartford Wolfpack3Calgary Wranglers4BWXSommaire du match
57334Manitoba Moose4Calgary Wranglers2BLSommaire du match
59345Calgary Wranglers5Springfield Thunderbirds7ALSommaire du match
61359Calgary Wranglers6Syracuse Crunch4AWSommaire du match
63373Calgary Wranglers6Chicago Wolves2AWSommaire du match
66388Calgary Wranglers1Laval Rocket2ALXXSommaire du match
69402Hershey Bears2Calgary Wranglers3BWSommaire du match
73427Wilkes-Barre/Scranton Penguins4Calgary Wranglers5BWSommaire du match
75438Toronto Marlies5Calgary Wranglers3BLSommaire du match
77453Calgary Wranglers5Toronto Marlies3AWSommaire du match
79463Calgary Wranglers4Abbotsford's Canucks3AWXSommaire du match
82482Calgary Wranglers7Providence Bruins6AWXSommaire du match
84495Calgary Wranglers5Utica Comets6ALXSommaire du match
87513Grand Rapids Griffins3Calgary Wranglers2BLXSommaire du match
89524Rockford IceHogs2Calgary Wranglers1BLSommaire du match
91534Calgary Wranglers3Henderson Silver Knights4ALXSommaire du match
93548Calgary Wranglers2Bakersfield Condors4ALSommaire du match
95559Laval Rocket3Calgary Wranglers4BWSommaire du match
98572Springfield Thunderbirds8Calgary Wranglers3BLSommaire du match
102600Calgary Wranglers1Belleville Senators4ALSommaire du match
104608Calgary Wranglers3Hartford Wolfpack5ALSommaire du match
108636Rochester Americans3Calgary Wranglers4BWXSommaire du match
111649Calgary Wranglers4Hershey Bears2AWSommaire du match
113666Texas Stars2Calgary Wranglers0BLSommaire du match
117686Calgary Wranglers3Charlotte Checkers4ALSommaire du match
118693Calgary Wranglers4Lehigh Valley Phantoms2AWSommaire du match
121709Lehigh Valley Phantoms5Calgary Wranglers1BLSommaire du match
123719Calgary Wranglers1Manitoba Moose3ALSommaire du match
125732Providence Bruins3Calgary Wranglers4BWXSommaire du match
127741Calgary Wranglers-San Diego Gulls -
130756Calgary Wranglers-Colorado Eagles-
132766Calgary Wranglers-Ontario Reign-
135785Calgary Wranglers-Manitoba Moose-
137800Wilkes-Barre/Scranton Penguins-Calgary Wranglers-
140818Calgary Wranglers-Texas Stars-
143837Colorado Eagles-Calgary Wranglers-
145852Hershey Bears-Calgary Wranglers-
146853Calgary Wranglers-Providence Bruins-
148867Calgary Wranglers-Bakersfield Condors-
150880Iowa Wild-Calgary Wranglers-
152892Laval Rocket-Calgary Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153897Charlotte Checkers-Calgary Wranglers-
155916Henderson Silver Knights-Calgary Wranglers-
157925San Diego Gulls -Calgary Wranglers-
160944Bridgeport's Islanders-Calgary Wranglers-
162957Calgary Wranglers-Grand Rapids Griffins-
165976Rochester Americans-Calgary Wranglers-
166984Toronto Marlies-Calgary Wranglers-
168995Calgary Wranglers-Lehigh Valley Phantoms-
1711015Calgary Wranglers-Chicago Wolves-
1721021San Jose Barracuda-Calgary Wranglers-
1741036Calgary Wranglers-Rockford IceHogs-
1761048Calgary Wranglers-Utica Comets-
1781063Calgary Wranglers-Abbotsford's Canucks-
1791068Springfield Thunderbirds-Calgary Wranglers-
1821091Calgary Wranglers-Belleville Senators-
1861113Calgary Wranglers-Hartford Wolfpack-
1891132Calgary Wranglers-Syracuse Crunch-
1901136Rockford IceHogs-Calgary Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3515
Assistance121,021135,000
Assistance PCT89.65%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 9482 - 94.82% 345,500$9,328,496$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,490,405$ 5,185,000$ 5,185,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,324,591$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,836,998$ 64 28,605$ 1,830,720$




Calgary Wranglers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Calgary 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

Calgary 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

Calgary Wranglers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Calgary 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