Wolves
GP: 82 | W: 41 | L: 33 | OTL: 8 | P: 90
GF: 307 | GA: 297 | PP%: 21.61% | PK%: 83.06%
DG: Yves Ayotte | Morale : 75 | Moyenne d’équipe : 60
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Centre de jeu
Wolves
41-33-8, 90pts
1
FINAL
4 IceHogs
45-26-11, 101pts
Team Stats
L3StreakW1
25-11-5Home Record21-12-8
16-22-3Away Record24-14-3
5-4-1Last 10 Games4-2-4
3.74Buts par match 3.84
3.62Buts contre par match 3.50
21.61%Pourcentage en avantage numérique25.38%
83.06%Pourcentage en désavantage numérique76.45%
Wolves
41-33-8, 90pts
1
FINAL
6 Monsters
44-34-4, 92pts
Team Stats
L3StreakW4
25-11-5Home Record18-20-3
16-22-3Away Record26-14-1
5-4-1Last 10 Games6-3-1
3.74Buts par match 3.44
3.62Buts contre par match 3.61
21.61%Pourcentage en avantage numérique17.54%
83.06%Pourcentage en désavantage numérique80.94%
Meneurs d'équipe
Nick SeelerButs
Nick Seeler
15
Nick SeelerPasses
Nick Seeler
30
Nick SeelerPoints
Nick Seeler
45
Nick SeelerPlus/Moins
Nick Seeler
10
Michael HutchinsonVictoires
Michael Hutchinson
28
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.901

Statistiques d’équipe
Buts pour
307
3.74 GFG
Tirs pour
2902
35.39 Avg
Pourcentage en avantage numérique
21.6%
51 GF
Début de zone offensive
40.9%
Buts contre
297
3.62 GAA
Tirs contre
2903
35.40 Avg
Pourcentage en désavantage numérique
83.1%
51 GA
Début de la zone défensive
40.3%
Information d’équipe

Directeur généralYves Ayotte
EntraîneurJohn Wroblewski
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,961
Billets de saison300


Information formation

Équipe Pro41
Équipe Mineure20
Limite contact 61 / 80
Espoirs68


Historique d'équipe

Saison actuelle41-33-8 (90PTS)
Historique140-85-21 (0.569%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-6
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
1Gage Quinney0XX100.00633791667291796369666462656870075650281999,000$
2Mathieu Olivier (R)0XX100.00898465648178836356625869606667075640261974,100$
3Jakub Lauko (R)0X100.00714369657478816463606359626465075630233925,000$
4Sampo Ranta (R)0XX100.00693884627983815957585962586365075620231925,000$
5Daniel Torgersson (R)0XX100.00743994588380735758556160596163075610213950,000$
6Milos Kelemen0XX100.00734074608277735962585960646566075610243888,100$
7Jonathan Gruden (R)0X100.00653971606975855965586057606365075610231925,000$
8Dino Kambeitz0XX100.00744083558374815457565658556365075600232999,999$
9Urho Vaakanainen0X100.006937886580867463306558645064660756402421,043,000$
10Brandon Scanlin0X100.00804087558965735230545358466466075600243750,000$
11Matt Bartkowski0X100.00694079547871865330555256457577075600351999,000$
12Chad Nychuk0X100.00673695567664615530605056456264075590223999,999$
13Luke Martin (R)0X100.00754081558470655430575258466567075590253950,000$
Rayé
1Drake Caggiula0XXX99.67643881686690766470656268637072075650292999,999$
2Matej Blumel (R)0XX100.00653795667487716566606359646563075630233950,000$
3John Beecher (R)0XX93.38764085598579725863575860566264075610223950,000$
4Josh Doan (R)0X100.00653695597487615861575956596163075600213950,000$
5Matt Rempe0X100.00904861549971695357525561546163075600213999,999$
6Riley Sutter (R)0X100.00794278538870805259535458536466075590243999,999$
7Isaac Johnson0XX100.00683895547774635357545556536466075590242999,999$
8Donald Busdeker (R)0X100.00573974566672825558575453596466075580243825,000$
9Max Ellis0X100.00603588556085695458555652536365075580233999,999$
10Ty Glover0XX100.00743891548374695361525456525860075580233999,999$
11Samuel Houde0X100.00603882556971755462555653546365075580233999,999$
12Andrei Bakanov0X100.00774090518667625052515056506163075570212825,000$
13Jaydon Dureau0X100.00583695556764625458525751556264075570223999,999$
14Navrin Mutter0X100.00724465538165695258535456536264075570223999,999$
15Matej Pekar (R)0XX100.00653972547473705362555154526365075570231925,000$
16Reece Vitelli0X100.00593695526869615152535450536264075560222999,999$
17Tyson Kozak0X100.00583977546771695258535451536163075560213999,999$
18Vincent Desharnais (R)0X100.00817973639580816230645873496769075650272999,999$
19Vincent Sevigny0X100.00693983567864695530575456466264075590223999,999$
20Calle Sjalin0X100.00643982547370665330525654466466075580243925,000$
21Jack St. Ivany0X100.00744083568365715230545057456466075580243999,999$
22Layton Ahac (R)0X100.00693989557864725230535154456264075580221925,000$
23Andrew Perrott0X100.00654078537471615230535452456264075570222825,000$
24Luka Profaca0X100.00704272527962685130535254456163075570213999,999$
MOYENNE D’ÉQUIPE99.8170418257787472565056565853646507560
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
1Michael Hutchinson100.0073697084727173727173727587075650331900,000$
2Jiri Patera (R)100.0074656682737274737274736471075640242999,999$
Rayé
1Ryan Bednard (R)100.0067555691666567666768666575075610263825,000$
2Pavel Cajan100.0066626376656466656466656165075590213999,999$
MOYENNE D’ÉQUIPE100.007063648369687069697069667507562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Wroblewski66627469625885USA422900,000$


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
1Matej BlumelWolves (CAR)LW/RW8143428515100381253086822513.96%15157319.43610164017600031323258.65%13300021.0802000625
2Mathieu OlivierWolves (CAR)LW/RW79315384149553531462917620610.65%27165620.97514194420100062168148.24%17000011.01160011171
3Gage QuinneyWolves (CAR)C/LW802557821914019232292941998.56%27164320.54315184920401111272154.11%230100001.0018000527
4Drake CaggiulaWolves (CAR)C/LW/RW753839771980282063318122311.48%26168822.51510155418611273003251.78%53500010.9128000475
5Jakub LaukoWolves (CAR)C8224487212380208205248591849.68%13144317.604913521730001105249.40%191100011.0001000246
6Vincent DesharnaisWolves (CAR)D7819466517602571131404912213.57%134182623.418816481861011229530.00%000000.7100000365
7Sampo RantaWolves (CAR)LW/RW812227498200961192167214210.19%18133016.422351984000071142.71%9600000.7400000163
8Nick SeelerHurricanesD4615304510200959682175318.29%81108323.5610515401080222136110.00%000000.8300000033
9Matt BartkowskiWolves (CAR)D8273138-54551315360225111.67%108173421.15347221750000170200.00%000000.4400010020
10John BeecherWolves (CAR)C/LW78152035-8280110146164471509.15%22112414.41033179610161052050.08%123000100.6200000300
11Luke MartinWolves (CAR)D82529349780193555422519.26%109153818.7604413880000179000.00%000000.4400000110
12Milos KelemenWolves (CAR)LW/RW82151429-940089104162451209.26%14105812.910110150110891051.37%14600000.5511000101
13Jonathan GrudenWolves (CAR)LW8282028-91607373142341245.63%497411.88011113000052055.70%7900000.5701000000
14Vincent SevignyWolves (CAR)D6442327114001034038131910.53%7198215.34011112000029000.00%000000.5500000001
15Chad NychukWolves (CAR)D61516211720055353382515.15%6899116.25101524000060010.00%000000.4200000101
16Urho VaakanainenWolves (CAR)D3041418-218031505418377.41%3870223.4113423860001110100.00%000000.5100000010
17Daniel TorgerssonWolves (CAR)LW/RW829817-7140404586356610.47%105977.29101150000190054.55%4400000.5700000101
18Brandon ScanlinWolves (CAR)D484812-13320101254918268.16%6096320.0720220970000113100.00%000000.2500000001
19Dino KambeitzWolves (CAR)C/RW824812-1224057726716525.97%45456.6500000000001044.59%61900000.4400000021
20Josh DoanWolves (CAR)RW776511-82015237215528.33%54666.0600000000010036.67%3000000.4700000000
21Matt RempeWolves (CAR)C8011220934130.00%1384.7800000000040045.24%4200000.5200000000
22Isaac JohnsonWolves (CAR)LW/RW6011300116060.00%0457.6200001000020057.14%700000.4400000000
23Jack St. IvanyWolves (CAR)D1000020210110.00%01717.880000300000000.00%000000.0000000000
24Donald BusdekerWolves (CAR)RW1000000110000.00%099.020000000000000.00%100000.0000000000
25Riley SutterWolves (CAR)C6000-255111020.00%0162.8100000000020021.43%1400000.0000001000
Statistiques d’équipe totales ou en moyenne14743035408436564715210619702900811213910.45%8552405216.3251911424491943358282053381450.82%735800150.70527012394341
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
1Michael HutchinsonWolves (CAR)60282650.8993.6035020121020860200.682225923430
2Jiri PateraWolves (CAR)2713730.9013.33146000818170000.50062359001
Statistiques d’équipe totales ou en moyenne87413380.9003.5249630129129030200.643288282431


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
Andrei BakanovWolves (CAR)LW215/8/2002No214 Lbs6 ft3NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien / Lien NHL
Andrew PerrottWolves (CAR)D228/24/2001No217 Lbs5 ft10NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien / Lien NHL
Brandon ScanlinWolves (CAR)D246/2/1999No214 Lbs6 ft4NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Calle SjalinWolves (CAR)D249/2/1999No179 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien / Lien NHL
Chad NychukWolves (CAR)D223/6/2001No194 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Daniel TorgerssonWolves (CAR)LW/RW211/26/2002Yes199 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Dino KambeitzWolves (CAR)C/RW231/25/2000No212 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Donald BusdekerWolves (CAR)RW249/25/1999Yes180 Lbs5 ft10NoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$Lien / Lien NHL
Drake CaggiulaWolves (CAR)C/LW/RW296/20/1994No176 Lbs5 ft10NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Gage QuinneyWolves (CAR)C/LW287/29/1995No200 Lbs5 ft11NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Isaac JohnsonWolves (CAR)LW/RW241/24/1999No185 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Jack St. IvanyWolves (CAR)D247/22/1999No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Jakub LaukoWolves (CAR)C233/28/2000Yes196 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien / Lien NHL
Jaydon DureauWolves (CAR)LW221/20/2001No173 Lbs5 ft11NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Jiri PateraWolves (CAR)G242/24/1999Yes209 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
John Beecher (sur la masse salariale)Wolves (CAR)C/LW224/5/2001Yes210 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$Yes950,000$950,000$Lien NHL
Jonathan GrudenWolves (CAR)LW235/4/2000Yes172 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Josh DoanWolves (CAR)RW212/1/2002Yes183 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Layton AhacWolves (CAR)D222/22/2001Yes188 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Luka ProfacaWolves (CAR)D213/30/2002No195 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Luke MartinWolves (CAR)D259/20/1998Yes219 Lbs6 ft2NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Matej BlumelWolves (CAR)LW/RW235/31/2000Yes200 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Matej PekarWolves (CAR)C/LW232/10/2000Yes185 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Mathieu OlivierWolves (CAR)LW/RW262/11/1997Yes217 Lbs6 ft1NoNoNo1Pro & Farm974,100$974,100$0$0$NoLien / Lien NHL
Matt BartkowskiWolves (CAR)D356/4/1988No201 Lbs6 ft1NoNoNo1Pro & Farm999,000$999,000$0$0$NoLien / Lien NHL
Matt RempeWolves (CAR)C216/29/2002No240 Lbs6 ft8NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Max EllisWolves (CAR)RW231/18/2000No154 Lbs5 ft9NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Michael HutchinsonWolves (CAR)G333/2/1990No201 Lbs6 ft3NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Milos KelemenWolves (CAR)LW/RW247/6/1999No210 Lbs6 ft2NoNoNo3Pro & Farm888,100$888,100$0$0$No888,100$888,100$Lien / Lien NHL
Navrin MutterWolves (CAR)LW223/15/2001No190 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Pavel CajanWolves (CAR)G2110/13/2002No176 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Reece VitelliWolves (CAR)C227/5/2001No180 Lbs5 ft11NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Riley SutterWolves (CAR)C2410/25/1999Yes210 Lbs6 ft4NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Ryan BednardWolves (CAR)G263/31/1997Yes207 Lbs6 ft5NoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$Lien / Lien NHL
Sampo RantaWolves (CAR)LW/RW235/31/2000Yes195 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Samuel HoudeWolves (CAR)C233/8/2000No175 Lbs6 ft0NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Ty GloverWolves (CAR)C/LW2310/1/2000No200 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Tyson KozakWolves (CAR)C2112/29/2002No173 Lbs5 ft11NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Urho Vaakanainen (contrat à 1 volet)Wolves (CAR)D241/1/1999No200 Lbs6 ft2NoNoNo2Pro & Farm1,043,000$1,043,000$1,043,000$0$No1,043,000$Lien / Lien NHL
Vincent DesharnaisWolves (CAR)D275/29/1996Yes215 Lbs6 ft6NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Vincent SevignyWolves (CAR)D224/14/2001No175 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4123.78196 Lbs6 ft22.39954,956$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gage QuinneyMathieu Olivier34023
2Jakub LaukoSampo Ranta32122
3Jonathan GrudenMilos Kelemen24131
4Daniel TorgerssonDino Kambeitz10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho Vaakanainen36023
2Matt BartkowskiBrandon Scanlin34122
3Chad NychukLuke Martin30131
4Chad NychukMatt Bartkowski0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gage QuinneyMathieu Olivier60005
2Jakub Lauko40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho Vaakanainen60005
2Matt BartkowskiBrandon Scanlin40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mathieu Olivier60050
240050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho Vaakanainen60050
2Brandon ScanlinLuke Martin40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160050Urho Vaakanainen60050
2Mathieu Olivier40050Luke MartinBrandon Scanlin40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Gage Quinney60023
2Mathieu Olivier40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho Vaakanainen60023
2Matt BartkowskiBrandon Scanlin40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyMathieu OlivierUrho Vaakanainen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gage QuinneyMathieu OlivierUrho Vaakanainen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jonathan Gruden, Milos Kelemen, Jonathan GrudenMilos Kelemen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Chad Nychuk, Luke Martin, Matt BartkowskiChad NychukLuke Martin, Matt Bartkowski
Tirs de pénalité
Gage Quinney, , Mathieu Olivier, , Jakub Lauko
Gardien
#1 : Michael Hutchinson, #2 : Jiri Patera
Lignes d’attaque personnalisées en prolongation
Gage Quinney, , Mathieu Olivier, , Jakub Lauko, Dino Kambeitz, Dino Kambeitz, , Jonathan Gruden, Milos Kelemen, Daniel Torgersson
Lignes de défense personnalisées en prolongation
Urho Vaakanainen, Brandon Scanlin, Matt Bartkowski, , Chad Nychuk


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
1Admirals22000000752110000003211100000043141.0007121900119109748699559619575673218575120.00%4175.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
2Americans3110000110100210000016511010000045-130.5001019290011910974893955961957561172620744250.00%9277.78%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
3Barracuda2010100047-3100010003211010000015-420.500471100119109748679559619575690201955400.00%7357.14%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
4Bears403001001121-1020100100610-420200000511-610.1251119300011910974812795596195756135374210515320.00%21576.19%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
5Bruins321000001112-11010000027-52200000095440.667112031001191097489395596195756102292478900.00%12375.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
6Checkers3200000116115210000018621100000085350.83316304600119109748127955961957561084428969222.22%13284.62%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
7Comets20200000610-41010000034-11010000036-300.00069150011910974872955961957566824639400.00%30100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
8Condors220000001064110000004221100000064241.000101929001191097486995596195756721120455120.00%10460.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
9Crunch311000101174110000006152010001056-140.66711162700119109748100955961957561072928705240.00%13192.31%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
10Devils32100000171162200000014681010000035-240.667172946001191097481469559619575610628189311436.36%90100.00%11534300651.03%1529295851.69%691137750.18%1974136419325921058529
11Eagles2110000069-31010000015-41100000054120.50061016001191097484795596195756794020433133.33%90100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
12Firebirds220000001257110000007431100000051441.000122335001191097487695596195756621814546233.33%60100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
13Griffins32100000161422200000013941010000035-240.66716294500119109748113955961957561083116838112.50%7442.86%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
14Gulls2010100035-21010000003-31000100032120.50035800119109748819559619575665281459600.00%7185.71%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
15IceHogs2110000067-1110000005321010000014-320.50061117001191097486295596195756661820543133.33%9188.89%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
16Marlies321000001165110000002022110000096340.66711213201119109748105955961957561033329675480.00%12191.67%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
17Monsters41100002914-5210000016512010000139-640.50091726001191097481289559619575614842381191417.14%19289.47%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
18Moose22000000954110000003211100000063341.00091726001191097485695596195756602016437114.29%8187.50%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
19Penguins42200000121022020000027-522000000103740.500122335001191097481449559619575611444188918422.22%80100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
20Phantoms413000002225-320200000611-5211000001614220.250224062001191097481389559619575616636401128450.00%18477.78%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
21Reign2010001046-2100000103211010000014-320.50044800119109748789559619575670276386116.67%30100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
22Roadrunners2110000067-1110000005321010000014-320.50061117001191097485595596195756761326435240.00%13376.92%11534300651.03%1529295851.69%691137750.18%1974136419325921058529
23Rocket330000001266220000009541100000031261.00012193100119109748123955961957567720197615533.33%60100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
24Senators312000001394110000008172020000058-320.33313243700119109748111955961957561284326829111.11%12375.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
25Silver Knights21000100871110000005321000010034-130.75081321001191097485795596195756692614516116.67%7271.43%11534300651.03%1529295851.69%691137750.18%1974136419325921058529
26Sound Tigers42200000181532200000013672020000059-440.500183149001191097481529559619575613539328911218.18%15193.33%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
27Stars2010000169-31000000145-11010000024-210.25061117001191097487395596195756712620509222.22%10190.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
28Thunderbirds21100000981110000005321010000045-120.50091726001191097489195596195756741820605240.00%80100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
29Wild21100000752110000007251010000003-320.5007111800119109748779559619575666171036200.00%50100.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
30Wolf Pack30200001715-81010000014-320100001611-510.167711180011910974896955961957561233122791218.33%10280.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
31Wranglers20101000810-21010000025-31000100065120.5008132100119109748769559619575665151664700.00%8450.00%01534300651.03%1529295851.69%691137750.18%1974136419325921058529
Total8236330322630729710412311011141621332941132202112145164-19900.54930754184801119109748290295596195756290385464921032365121.61%3015183.06%31534300651.03%1529295851.69%691137750.18%1974136419325921058529
_Since Last GM Reset8236330322630729710412311011141621332941132202112145164-19900.54930754184801119109748290295596195756290385464921032365121.61%3015183.06%31534300651.03%1529295851.69%691137750.18%1974136419325921058529
_Vs Conference34161102113120124-41710301012665791768011015467-13420.618120211331001191097481156955961957561213361267876931313.98%1262679.37%11534300651.03%1529295851.69%691137750.18%1974136419325921058529
_Vs Division1610500002565518800000133258825000012330-7220.688561001560011910974853095596195756565173140386391025.64%66789.39%11534300651.03%1529295851.69%691137750.18%1974136419325921058529

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290L330754184829022903854649210301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236333226307297
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123111114162133
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113222112145164
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2365121.61%3015183.06%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
95596195756119109748
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
1534300651.03%1529295851.69%691137750.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1974136419325921058529


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 - 2023-10-114Senators1Wolves8BWSommaire du match
5 - 2023-10-1432Wolves1Reign4ALSommaire du match
6 - 2023-10-1534Wolves3Gulls2AWXSommaire du match
8 - 2023-10-1747Wolves1Barracuda5ALSommaire du match
10 - 2023-10-1960Wolves5Firebirds1AWSommaire du match
12 - 2023-10-2176Wolves5Eagles4AWSommaire du match
15 - 2023-10-2486Wolves2Crunch4ALSommaire du match
17 - 2023-10-26101Firebirds4Wolves7BWSommaire du match
18 - 2023-10-27112Barracuda2Wolves3BWXSommaire du match
21 - 2023-10-30131Wolves8Phantoms9ALSommaire du match
24 - 2023-11-02148Wolves1Wolf Pack5ALSommaire du match
26 - 2023-11-04167Wolves3Sound Tigers5ALSommaire du match
29 - 2023-11-07180Americans3Wolves2BLXXSommaire du match
32 - 2023-11-10205Wolves8Checkers5AWSommaire du match
33 - 2023-11-11214Wolves3Crunch2AWXXSommaire du match
37 - 2023-11-15238Phantoms5Wolves4BLSommaire du match
40 - 2023-11-18261Penguins3Wolves1BLSommaire du match
44 - 2023-11-22279Condors2Wolves4BWSommaire du match
46 - 2023-11-24303Crunch1Wolves6BWSommaire du match
48 - 2023-11-26318Monsters4Wolves3BLXXSommaire du match
50 - 2023-11-28328Wolves8Phantoms5AWSommaire du match
52 - 2023-11-30341Sound Tigers4Wolves6BWSommaire du match
54 - 2023-12-02360Americans2Wolves4BWSommaire du match
56 - 2023-12-04376Wolves6Moose3AWSommaire du match
58 - 2023-12-06391Wolves6Condors4AWSommaire du match
59 - 2023-12-07401Wolves6Wranglers5AWXSommaire du match
61 - 2023-12-09419Wolves3Comets6ALSommaire du match
64 - 2023-12-12433Wolves3Senators4ALSommaire du match
66 - 2023-12-14447Wolves3Griffins5ALSommaire du match
67 - 2023-12-15455Admirals2Wolves3BWSommaire du match
69 - 2023-12-17475Bears6Wolves3BLSommaire du match
71 - 2023-12-19486Silver Knights3Wolves5BWSommaire du match
73 - 2023-12-21503Wolves6Penguins1AWSommaire du match
75 - 2023-12-23517Sound Tigers2Wolves7BWSommaire du match
79 - 2023-12-27535Wolves4Admirals3AWSommaire du match
80 - 2023-12-28542Rocket3Wolves5BWSommaire du match
82 - 2023-12-30561Wolves3Marlies5ALSommaire du match
85 - 2024-01-02575Wolves5Wolf Pack6ALXXSommaire du match
88 - 2024-01-05603Wolves3Bears6ALSommaire du match
89 - 2024-01-06609Thunderbirds3Wolves5BWSommaire du match
94 - 2024-01-11639Gulls3Wolves0BLSommaire du match
96 - 2024-01-13658Penguins4Wolves1BLSommaire du match
98 - 2024-01-15675Reign2Wolves3BWXXSommaire du match
102 - 2024-01-19702Griffins5Wolves7BWSommaire du match
104 - 2024-01-21719Wild2Wolves7BWSommaire du match
107 - 2024-01-24741Wolves4Bruins2AWSommaire du match
108 - 2024-01-25746Devils3Wolves9BWSommaire du match
110 - 2024-01-27764Roadrunners3Wolves5BWSommaire du match
120 - 2024-02-06785Comets4Wolves3BLSommaire du match
122 - 2024-02-08799Eagles5Wolves1BLSommaire du match
124 - 2024-02-10811Devils3Wolves5BWSommaire du match
127 - 2024-02-13830Wolves2Stars4ALSommaire du match
130 - 2024-02-16849Wolves1Roadrunners4ALSommaire du match
131 - 2024-02-17862Wolves3Silver Knights4ALXSommaire du match
133 - 2024-02-19874IceHogs3Wolves5BWSommaire du match
136 - 2024-02-22889Checkers4Wolves3BLXXSommaire du match
138 - 2024-02-24909Stars5Wolves4BLXXSommaire du match
139 - 2024-02-25920Wolves4Americans5ALSommaire du match
141 - 2024-02-27932Wolves0Wild3ALSommaire du match
143 - 2024-02-29942Wolves2Monsters3ALXXSommaire du match
145 - 2024-03-02956Moose2Wolves3BWSommaire du match
150 - 2024-03-07994Rocket2Wolves4BWSommaire du match
152 - 2024-03-091011Wolves3Devils5ALSommaire du match
153 - 2024-03-101024Wranglers5Wolves2BLSommaire du match
155 - 2024-03-121032Wolf Pack4Wolves1BLSommaire du match
157 - 2024-03-141046Checkers2Wolves5BWSommaire du match
159 - 2024-03-161067Wolves6Marlies1AWSommaire du match
160 - 2024-03-171077Wolves2Senators4ALSommaire du match
162 - 2024-03-191087Wolves2Sound Tigers4ALSommaire du match
164 - 2024-03-211099Phantoms6Wolves2BLSommaire du match
165 - 2024-03-221109Wolves2Bears5ALSommaire du match
167 - 2024-03-241127Marlies0Wolves2BWSommaire du match
169 - 2024-03-261138Wolves4Penguins2AWSommaire du match
171 - 2024-03-281150Griffins4Wolves6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301173Wolves3Rocket1AWSommaire du match
178 - 2024-04-041202Bruins7Wolves2BLSommaire du match
179 - 2024-04-051212Bears4Wolves3BLXSommaire du match
181 - 2024-04-071230Monsters1Wolves3BWSommaire du match
183 - 2024-04-091239Wolves5Bruins3AWSommaire du match
186 - 2024-04-121265Wolves4Thunderbirds5ALSommaire du match
188 - 2024-04-141285Wolves1IceHogs4ALSommaire du match
190 - 2024-04-161296Wolves1Monsters6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,00840,398
Assistance PCT98.79%98.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2961 - 98.70% 80,219$3,288,964$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,753,672$ 3,811,020$ 3,611,020$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
19,354$ 3,845,544$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 24,537$ 0$




Wolves 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
1Gage Quinney244811452264023716228399.65%55469319.24134457142123719653.60%10.96617
2Mathieu Olivier241861121984626897635281510.55%67455018.881317301211121513348.54%20.8727
3Drake Caggiula1528299181615015243167112.22%49330221.73142438109448188252.71%21.10313
4Sampo Ranta243597813736401662616329.34%43369315.20511165200005541.90%20.7402
5Matt Irwin1402293115122004192252588.53%244316522.611123341301233340.00%00.7300

Wolves 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
1Michael Hutchinson19310465180.9033.291125114461663570450.69252
2Erik Kallgren41231300.9193.0021630110813270010.72711
3Jiri Patera2713730.9013.33146000818170000.5006

Wolves 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
2382392806621289260294120150311113912514411913035101501351510128950879722961038283001969104495344283180160519892685721.27%2443984.02%11752310456.44%1591293354.24%732134254.55%2072145818435811050533
2022824724023333442648041261001112187133544121140122115713126110344618962421291061041230769811054101557277388261720212315523.81%2665280.45%71643301254.55%1543298851.64%751139153.99%2034143518785851048527
20238236330322630729710412311011141621332941132202112145164-199030754184801119109748290295596195756290385464921032365121.61%3015183.06%31534300651.03%1529295851.69%691137750.18%1974136419325921058529
Total Saison régulière246122850111171094082111912369360533748839197123534906843452430223019401667260765344318260288979290530592925157850725371871611373516322.18%81114282.49%114929912254.03%4663887952.52%2174411052.90%608142575654175831571591
Séries éliminatoires
20221376000004243-17430000024222633000001821-31442791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691
Total Séries éliminatoires1376000004243-17430000024222633000001821-31442791210015121324361311281334441011810035544715.91%46882.61%025748652.88%24546552.69%10322346.19%34423634910818691

Wolves 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
1Kyle Turris1376132812235512.73%229022.33224900003153.62%00.9000
2Gage Quinney136612227275012.00%125919.98011400000145.74%00.9200
3Michael Chaput1375122628302825.00%221216.32112700002157.02%01.1300
4Nick Seeler13110116102116263.85%1232625.08011110001000.00%00.6700
5Matt Irwin122911-5163023306.67%2231826.51055200000000.00%00.6900

Wolves 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
1Michael Hutchinson137510.8942.9386000423950000.0000
2Erik Kallgren10000.9333.0020001150000.0000