Wolves
GP: 82 | W: 54 | L: 22 | OTL: 6 | P: 114
GF: 349 | GA: 258 | PP%: 27.17% | PK%: 79.92%
DG: Yves Ayotte | Morale : 75 | Moyenne d’équipe : 61
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Centre de jeu
Wolves
54-22-6, 114pts
1
FINAL
0 Phantoms
44-32-6, 94pts
Team Stats
L1StreakW1
26-11-4Home Record23-16-2
28-11-2Away Record21-16-4
6-3-1Last 10 Games6-4-0
4.26Buts par match 3.50
3.15Buts contre par match 3.00
27.17%Pourcentage en avantage numérique21.74%
79.92%Pourcentage en désavantage numérique84.13%
Wolves
54-22-6, 114pts
2
FINAL
4 Sound Tigers
50-24-8, 108pts
Team Stats
L1StreakW2
26-11-4Home Record25-12-4
28-11-2Away Record25-12-4
6-3-1Last 10 Games6-4-0
4.26Buts par match 4.10
3.15Buts contre par match 3.05
27.17%Pourcentage en avantage numérique16.06%
79.92%Pourcentage en désavantage numérique81.02%
Meneurs d'équipe
Josh DoanButs
Josh Doan
25
Josh DoanPasses
Josh Doan
33
Josh DoanPoints
Josh Doan
58
Josh DoanPlus/Moins
Josh Doan
22
Ales StezkaVictoires
Ales Stezka
34
Jiri PateraPourcentage d’arrêts
Jiri Patera
0.907

Statistiques d’équipe
Buts pour
349
4.26 GFG
Tirs pour
3207
39.11 Avg
Pourcentage en avantage numérique
27.2%
75 GF
Début de zone offensive
42.8%
Buts contre
258
3.15 GAA
Tirs contre
2643
32.23 Avg
Pourcentage en désavantage numérique
79.9%
48 GA
Début de la zone défensive
38.5%
Information d’équipe

Directeur généralYves Ayotte
EntraîneurTrent Vogelhuber
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,983
Billets de saison300


Information formation

Équipe Pro38
Équipe Mineure20
Limite contact 58 / 80
Espoirs54


Historique d'équipe

Saison actuelle54-22-6 (114PTS)
Historique97-54-15 (0.584%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Julien Gauthier0X100.00824091679180706862656663676970075670273999,999$
2Ryan Carpenter0XX100.00683894667780866473656367627479075660341900,000$
3Phillip Di Giuseppe0XX100.00754083677385776358626069647472075650311990,000$
4Matej Blumel (R)0XX100.00663786687572886664626763686567075650251950,000$
5Adam Beckman (R)0XX100.00673883657787826458636062616566075640243750,000$
6Matt Rempe0X100.00878653669973826359616162586465075640231999,999$
7Jakub Lauko (R)0X100.00825678677674826362616066636567075640251925,000$
8Brandon Biro (R)0X100.00553688636678826267636162636769075620272999,999$
9Milos Kelemen0XX100.00734369648279736162635559606668075620261888,100$
10Tyson Kozak0X100.00653982636976776266596061586365075620221999,999$
11Ryan Winterton (R)0X100.00673888627580856166596058616364075620222950,000$
12Ty Glover0XX100.00744084588371735760555659576567075610251999,999$
13Henry Thrun (R)0X100.00714286698288846630686067526466075660242950,000$
14Nick DeSimone0X100.00693895657982746430676061527173075650303999,999$
15Jack St. Ivany0X100.00764181638782836130625870496668075640261999,999$
16Ian Mitchell (R)0X100.00633786667384826430675862506668075640262999,999$
17Sebastian D. Aho0X100.00653593676682756530685564516971075640293999,999$
18Kyle Capobianco0X100.00724173648377856230645761496870075630283999,999$
Rayé
1Riley Sutter (R)0X100.00794277588869835657545559536668075610251999,999$
2Jonathan Gruden (R)0X100.00714072587274825965575856556567075600251800,000$
3Dino Kambeitz0XX100.00744179578370805653525859566567075600253750,000$
4Jayden Grubbe (R)0X100.00754176548475835261555357546264075590222950,000$
5Riley Kidney (R)0X100.00613880586971835763565453556264075590222950,000$
6Daniel Torgersson (R)0XX100.00744090548367715355525156546365075580231950,000$
7Coulson Pitre (R)0X100.00653890557471725458565357546163075580203950,000$
8Navrin Mutter0X100.00726150558169715357545256536466075570241999,999$
9Jaydon Dureau (R)0X100.00583690566772625457535251566466075570243950,000$
10Reece Vitelli (R)0X100.00563973556866635361565253546466075570243950,000$
11Jake Chiasson (R)0X100.00644091537370625255515054536264075560223950,000$
12Trevor Janicke (R)0X100.00563695546963615358525051556567075560243950,000$
13Brandon Scanlin0X100.00774083589175845630535559476668075610261750,000$
14Roman Schmidt (R)0X100.00844562559363685430565261466264075590223950,000$
15Chad Nychuk0X100.00664076557665665430535256456466075580241999,999$
16Trey Taylor0X100.00693795557876605430535052456365075580233999,999$
17Andrew Perrott0X100.00654655547464665230555356456466075570243750,000$
MOYENNE D’ÉQUIPE100.0070428160787576595159565955656707561
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Ales Stezka100.0075817684747375747375746881075660282999,999$
2Jiri Patera (R)100.0074787486737274737274736675075650263750,000$
Rayé
1Pavel Cajan100.0067767276666567666567666369075610221999,999$
MOYENNE D’ÉQUIPE100.007278748271707271707271667507564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Trent Vogelhuber68656966555290USA363950,000$


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
1Ryan CarpenterWolves (CAR)C/RW8236629830140562742978921912.12%25180922.07720276223400072484359.80%274900111.0804000547
2Matej BlumelWolves (CAR)LW/RW8236538937403912332110223811.21%12148518.12614206220700012311352.29%10900021.2014000570
3Julien GauthierWolves (CAR)RW82434487263401601153469325712.43%12164820.1091120542200000405353.16%15800031.0626000875
4Henry ThrunWolves (CAR)D81205676185601671251806412911.11%130189623.4271825842261014174210.00%000000.8000000333
5Phillip Di GiuseppeWolves (CAR)LW/RW73304474302801571342968720510.14%24162522.271011216321210152043142.86%11900010.9113000642
6Jakub LaukoWolves (CAR)C8125487333775254184272632019.19%22151318.694913271250113872353.54%148100000.9601001513
7Jack St. IvanyWolves (CAR)D781848663060020592135469913.33%127164621.1141014461690221178800.00%000000.8000000328
8Nick DeSimoneWolves (CAR)D8295160122801288112238847.38%88184822.547132060239000076310.00%000000.6500000021
9Josh DoanHurricanesRW482533582214052692416417310.37%1396220.065914501290000591166.67%8100001.2023000323
10Matt RempeWolves (CAR)C7427245110107252291481965514113.78%10108214.633472379000005052.58%139400000.9402211265
11Ian MitchellWolves (CAR)D7410364620140777212047798.33%95156721.1881018611840001171100.00%000000.5900000212
12Sebastian D. AhoWolves (CAR)D57531361010045777311376.85%80100417.6213417270001129010.00%000000.7200000312
13Milos KelemenWolves (CAR)LW/RW82122234101207584166531187.23%11131015.981451890000054046.02%11300000.5200000102
14Kyle CapobiancoWolves (CAR)D824293322455164514720358.51%85127315.5300010000174010.00%000000.5200001010
15Adam BeckmanWolves (CAR)C/LW70141529060301141395213410.07%1398214.03000000001690051.91%57600000.5900000020
16Brandon BiroWolves (CAR)LW821217292201463118309410.17%117599.2600000000002056.82%4400000.7601000012
17Brandon ScanlinWolves (CAR)D31611172426057112061830.00%3153717.332027410000130058.33%1200000.6300000100
18Tyson KozakWolves (CAR)C787916340303958154512.07%73484.46011150002201054.82%36300100.9200000100
19Ryan WintertonWolves (CAR)C82617-34029233672116.67%53494.2710127000040052.63%7600000.4000000000
20Ty GloverWolves (CAR)C/LW29213-5402381472414.29%22057.0900000000040071.43%1400000.2900000000
21Riley SutterWolves (CAR)C4011200532100.00%0225.5300000000000045.83%2400000.9000000000
22Dino KambeitzWolves (CAR)C/RW4000-400415030.00%15313.2800000000000033.33%300000.0000000000
Statistiques d’équipe totales ou en moyenne143834763698332954935200018913204950235410.83%8042393216.64751372126382204235271583521855.49%731600270.82624213484445
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
1Ales StezkaWolves (CAR)53341530.9042.9431182115315930230.700205131214
2Jiri PateraWolves (CAR)3220730.9073.181831459710460210.60053151330
Statistiques d’équipe totales ou en moyenne85542260.9053.0349506625026390440.680258282544


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
Adam BeckmanWolves (CAR)C/LW242001-05-10Yes182 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Ales StezkaWolves (CAR)G281997-01-06No190 Lbs6 ft4NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Andrew PerrottWolves (CAR)D242001-08-24No217 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brandon BiroWolves (CAR)LW271998-03-11Yes170 Lbs5 ft11NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Brandon ScanlinWolves (CAR)D261999-06-02No218 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Chad NychukWolves (CAR)D242001-03-06No194 Lbs6 ft1NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Coulson PitreWolves (CAR)RW202004-12-13Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Daniel TorgerssonWolves (CAR)LW/RW232002-01-26Yes199 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Dino KambeitzWolves (CAR)C/RW252000-01-25No212 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Henry ThrunWolves (CAR)D242001-03-12Yes210 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Ian MitchellWolves (CAR)D261999-01-18Yes192 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Jack St. IvanyWolves (CAR)D261999-07-22No205 Lbs6 ft4NoNoYes1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Jake ChiassonWolves (CAR)RW222003-05-25Yes165 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jakub LaukoWolves (CAR)C252000-03-28Yes193 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jayden GrubbeWolves (CAR)C222003-01-12Yes201 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jaydon DureauWolves (CAR)LW242001-01-20Yes173 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jiri PateraWolves (CAR)G261999-02-24Yes212 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Jonathan GrudenWolves (CAR)LW252000-05-04Yes172 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Julien GauthierWolves (CAR)RW271997-10-15No225 Lbs6 ft4NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Kyle CapobiancoWolves (CAR)D281997-08-13No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Matej BlumelWolves (CAR)LW/RW252000-05-31Yes205 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Matt RempeWolves (CAR)C232002-06-29No255 Lbs6 ft9NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Milos KelemenWolves (CAR)LW/RW261999-07-06No210 Lbs6 ft2NoNoNo1Pro & Farm888,100$888,100$0$0$NoLien / Lien NHL
Navrin MutterWolves (CAR)LW242001-03-15No190 Lbs6 ft3NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Nick DeSimoneWolves (CAR)D301994-11-21No194 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Pavel CajanWolves (CAR)G222002-10-13No176 Lbs6 ft2NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Phillip Di GiuseppeWolves (CAR)LW/RW311993-10-09No193 Lbs6 ft0NoNoNo1Pro & Farm990,000$990,000$0$0$NoLien / Lien NHL
Reece VitelliWolves (CAR)C242001-07-05Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Riley KidneyWolves (CAR)C222003-03-25Yes181 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Riley SutterWolves (CAR)C251999-10-25Yes210 Lbs6 ft4NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Roman SchmidtWolves (CAR)D222003-02-27Yes216 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Ryan CarpenterWolves (CAR)C/RW341991-01-18No198 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Ryan WintertonWolves (CAR)C222003-09-04Yes175 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sebastian D. AhoWolves (CAR)D291996-02-17No180 Lbs5 ft10NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Trevor JanickeWolves (CAR)C242000-12-25Yes193 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Trey TaylorWolves (CAR)D232002-02-04No190 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Ty GloverWolves (CAR)C/LW252000-10-01No200 Lbs6 ft3NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Tyson KozakWolves (CAR)C222002-12-29No185 Lbs5 ft11NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3824.97196 Lbs6 ft21.97938,239$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan CarpenterJulien Gauthier34023
2Matej BlumelMatt RempeMilos Kelemen32023
3Brandon BiroJakub Lauko26023
4Jakub LaukoJulien Gauthier8131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone34023
2Jack St. IvanyIan Mitchell32023
3Sebastian D. AhoKyle Capobianco28023
4Henry ThrunNick DeSimone6023
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan CarpenterJulien Gauthier60005
2Matej BlumelMatt RempeMilos Kelemen40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone60005
2Jack St. IvanyIan Mitchell40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Carpenter60050
2Jakub LaukoJulien Gauthier40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunJack St. Ivany60050
2Sebastian D. AhoIan Mitchell40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Carpenter60050Henry ThrunJack St. Ivany60050
240050Sebastian D. AhoIan Mitchell40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Julien GauthierRyan Carpenter60023
2Matej Blumel40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunNick DeSimone60023
2Jack St. IvanyIan Mitchell40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan CarpenterJulien GauthierHenry ThrunNick DeSimone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub LaukoRyan CarpenterHenry ThrunJack St. Ivany
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyson Kozak, Ryan Winterton, Tyson Kozak, Ryan Winterton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sebastian D. Aho, Kyle Capobianco, Jack St. IvanySebastian D. AhoKyle Capobianco, Jack St. Ivany
Tirs de pénalité
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe
Gardien
#1 : Jiri Patera, #2 : Ales Stezka
Lignes d’attaque personnalisées en prolongation
Julien Gauthier, Ryan Carpenter, , Matej Blumel, Matt Rempe, , , Jakub Lauko, Tyson Kozak, Ryan Winterton, Brandon Biro
Lignes de défense personnalisées en prolongation
Henry Thrun, Nick DeSimone, Jack St. Ivany, Ian Mitchell, Sebastian D. Aho


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
1Admirals220000001284110000007611100000052341.00012243600121115107106310381059107163611910398337.50%5260.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
2Americans3120000010642110000010461010000002-220.3331017270112111510710100103810591071638831376910220.00%11190.91%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
3Barracuda200020001192100010005411000100065141.00011203100121115107109010381059107163712614548112.50%7185.71%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
4Bears3210000014113110000005322110000098140.6671425390012111510710114103810591071637028166410330.00%6266.67%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
5Bruins330000001578110000006422200000093661.000152944001211151071096103810591071639337246213430.77%11190.91%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
6Checkers33000000186122200000011651100000070761.0001833510112111510710193103810591071631103218829555.56%9277.78%11788319056.05%1527286953.22%796139856.94%2188157617295651039545
7Comets22000000963110000005321100000043141.000914230012111510710871038105910716362136407342.86%30100.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
8Condors211000006511010000034-11100000031220.5006111700121115107106610381059107163541411445120.00%3166.67%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
9Crunch3210000011921010000023-12200000096340.66711182900121115107101151038105910716310728187812325.00%9188.89%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
10Devils422000002122-1211000001211121100000911-240.50021355600121115107101341038105910716314637471059333.33%18477.78%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
11Eagles220000001257110000005321100000072541.00012233500121115107106410381059107163511010449333.33%5180.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
12Firebirds210000017611000000134-11100000042230.7507132000121115107108010381059107163452216538225.00%8275.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
13Griffins330000002171422000000144101100000073461.00021406100121115107101891038105910716388281310610440.00%40100.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
14Gulls210000101266110000008351000001043141.00012203200121115107107310381059107163711814504125.00%60100.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
15IceHogs211000006421010000024-21100000040420.5006121811121115107106910381059107163542212469111.11%6266.67%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
16Marlies3300000013761100000031222000000106461.000132538001211151071011710381059107163953722836233.33%10280.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
17Monsters42100100141222010010069-32200000083550.62514264000121115107101411038105910716312733267513215.38%12375.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
18Moose2020000047-31010000023-11010000024-200.00047110012111510710951038105910716349121244500.00%5340.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
19Penguins413000001216-42110000045-120200000811-320.250122133111211151071014810381059107163158403010019421.05%14285.71%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
20Phantoms42200000711-42110000047-32110000034-140.5007142111121115107101121038105910716311835241118112.50%11281.82%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
21Reign21100000550110000003121010000024-220.50059141012111510710621038105910716363176386350.00%3166.67%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
22Roadrunners2010001068-2100000104311010000025-320.500691500121115107104510381059107163852533474125.00%11554.55%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
23Rocket33000000176112200000012391100000053261.0001733500112111510710163103810591071639827128512433.33%6266.67%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
24Senators3200010012102110000006422100010066050.8331221330012111510710101103810591071639534106912433.33%5180.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
25Silver Knights220000001477110000008441100000063341.000142640001211151071012010381059107163833115567457.14%5260.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
26Sound Tigers31200000913-42110000079-21010000024-220.33391625001211151071097103810591071631153222687114.29%11190.91%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
27Stars200010019901000000134-11000100065130.7509172600121115107107810381059107163551814449333.33%7185.71%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
28Thunderbirds200010019901000000134-11000100065130.7509152400121115107101021038105910716373181148500.00%30100.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
29Wild2020000059-41010000036-31010000023-100.000510150012111510710771038105910716368231437600.00%7185.71%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
30Wolf Pack4300000116882200000011562100000153270.875163046001211151071013710381059107163122422610819421.05%130100.00%11788319056.05%1527286953.22%796139856.94%2188157617295651039545
31Wranglers220000001248110000006241100000062441.00012233500121115107107910381059107163681612517342.86%5260.00%01788319056.05%1527286953.22%796139856.94%2188157617295651039545
Total8248220422434925891412411011131831364741241103111166122441140.6953496369854612111510710320710381059107163264380555520002767527.17%2394879.92%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
_Since Last GM Reset8248220422434925891412411011131831364741241103111166122441140.6953496369854612111510710320710381059107163264380555520002767527.17%2394879.92%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
_Vs Conference5033140020121015159251770010011378352516700101977324690.6902103835932512111510710195710381059107163163050134512651694627.22%1502484.00%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
_Vs Division26131100101939301375001004949013660000144440280.53893167260221211151071088310381059107163856247191631851821.18%851483.53%11788319056.05%1527286953.22%796139856.94%2188157617295651039545

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82114L134963698532072643805555200046
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8248224224349258
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124111113183136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4124113111166122
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2767527.17%2394879.92%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1038105910716312111510710
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
1788319056.05%1527286953.22%796139856.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2188157617295651039545


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 - 2025-10-0914Devils6Wolves5BLSommaire du match
5 - 2025-10-1130Phantoms5Wolves0BLSommaire du match
8 - 2025-10-1455Wolves6Barracuda5AWXSommaire du match
10 - 2025-10-1670Wolves4Gulls3AWXXSommaire du match
12 - 2025-10-1886Wolves2Reign4ALSommaire du match
14 - 2025-10-2097Wolves6Silver Knights3AWSommaire du match
17 - 2025-10-23121Wolves7Eagles2AWSommaire du match
19 - 2025-10-25138Wolves6Stars5AWXSommaire du match
22 - 2025-10-28152Silver Knights4Wolves8BWSommaire du match
24 - 2025-10-30171Sound Tigers6Wolves3BLSommaire du match
26 - 2025-11-01181Wolves6Bruins2AWSommaire du match
29 - 2025-11-04206Wolves4Wolf Pack1AWSommaire du match
31 - 2025-11-06221Wild6Wolves3BLSommaire du match
33 - 2025-11-08238Americans0Wolves7BWSommaire du match
34 - 2025-11-09246Wolves6Marlies4AWSommaire du match
36 - 2025-11-11259Bears3Wolves5BWSommaire du match
39 - 2025-11-14280Comets3Wolves5BWSommaire du match
40 - 2025-11-15289Condors4Wolves3BLSommaire du match
42 - 2025-11-17301Wolves3Bruins1AWSommaire du match
44 - 2025-11-19317Wolves2Wild3ALSommaire du match
46 - 2025-11-21333Wolves2Moose4ALSommaire du match
48 - 2025-11-23347Wolves0Americans2ALSommaire du match
51 - 2025-11-26368Wolf Pack2Wolves7BWSommaire du match
53 - 2025-11-28387Moose3Wolves2BLSommaire du match
55 - 2025-11-30404Wranglers2Wolves6BWSommaire du match
59 - 2025-12-04432Marlies1Wolves3BWSommaire du match
61 - 2025-12-06447Admirals6Wolves7BWSommaire du match
62 - 2025-12-07455Barracuda4Wolves5BWXSommaire du match
64 - 2025-12-09471Monsters5Wolves4BLXSommaire du match
66 - 2025-12-11485Wolves5Bears6ALSommaire du match
68 - 2025-12-13501Wolves2Phantoms4ALSommaire du match
69 - 2025-12-14510Phantoms2Wolves4BWSommaire du match
72 - 2025-12-17532Wolves5Admirals2AWSommaire du match
74 - 2025-12-19544Wolves7Checkers0AWSommaire du match
75 - 2025-12-20557Wolves3Crunch1AWSommaire du match
78 - 2025-12-23581Checkers4Wolves7BWSommaire du match
82 - 2025-12-27593Griffins2Wolves6BWSommaire du match
84 - 2025-12-29608Wolf Pack3Wolves4BWSommaire du match
85 - 2025-12-30619Wolves5Penguins6ALSommaire du match
87 - 2026-01-01636Rocket3Wolves6BWSommaire du match
89 - 2026-01-03653Eagles3Wolves5BWSommaire du match
90 - 2026-01-04660Wolves6Devils4AWSommaire du match
92 - 2026-01-06670Stars4Wolves3BLXXSommaire du match
94 - 2026-01-08688Gulls3Wolves8BWSommaire du match
96 - 2026-01-10706Firebirds4Wolves3BLXXSommaire du match
98 - 2026-01-12717Wolves7Griffins3AWSommaire du match
99 - 2026-01-13730Wolves6Thunderbirds5AWXSommaire du match
102 - 2026-01-16750Checkers2Wolves4BWSommaire du match
103 - 2026-01-17759Wolves3Devils7ALSommaire du match
105 - 2026-01-19770Americans4Wolves3BLSommaire du match
108 - 2026-01-22796IceHogs4Wolves2BLSommaire du match
110 - 2026-01-24813Wolves3Senators2AWSommaire du match
115 - 2026-01-29850Roadrunners3Wolves4BWXXSommaire du match
117 - 2026-01-31864Wolves4Bears2AWSommaire du match
118 - 2026-02-01874Reign1Wolves3BWSommaire du match
120 - 2026-02-03888Senators4Wolves6BWSommaire du match
122 - 2026-02-05905Wolves1Wolf Pack2ALXXSommaire du match
143 - 2026-02-26923Crunch3Wolves2BLSommaire du match
145 - 2026-02-28943Griffins2Wolves8BWSommaire du match
147 - 2026-03-02957Wolves4Firebirds2AWSommaire du match
149 - 2026-03-04972Wolves4Comets3AWSommaire du match
151 - 2026-03-06986Wolves3Condors1AWSommaire du match
152 - 2026-03-07998Wolves6Wranglers2AWSommaire du match
155 - 2026-03-101018Penguins5Wolves2BLSommaire du match
157 - 2026-03-121033Thunderbirds4Wolves3BLXXSommaire du match
159 - 2026-03-141049Wolves6Crunch5AWSommaire du match
162 - 2026-03-171070Wolves3Monsters2AWSommaire du match
163 - 2026-03-181078Penguins0Wolves2BWSommaire du match
165 - 2026-03-201094Wolves4Marlies2AWSommaire du match
167 - 2026-03-221112Wolves3Penguins5ALSommaire du match
169 - 2026-03-241121Wolves5Rocket3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281157Devils5Wolves7BWSommaire du match
174 - 2026-03-291169Rocket0Wolves6BWSommaire du match
176 - 2026-03-311185Wolves5Monsters1AWSommaire du match
178 - 2026-04-021196Monsters4Wolves2BLSommaire du match
180 - 2026-04-041214Sound Tigers3Wolves4BWSommaire du match
181 - 2026-04-051225Wolves3Senators4ALXSommaire du match
183 - 2026-04-071237Bruins4Wolves6BWSommaire du match
185 - 2026-04-091254Wolves4IceHogs0AWSommaire du match
187 - 2026-04-111269Wolves2Roadrunners5ALSommaire du match
189 - 2026-04-131284Wolves1Phantoms0AWSommaire du match
190 - 2026-04-141293Wolves2Sound Tigers4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,42340,860
Assistance PCT99.30%99.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2983 - 99.42% 80,746$3,310,594$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,575,178$ 3,565,310$ 3,565,310$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,618,407$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,503,132$ 0 23,517$ 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
1Matej Blumel164659015547126224457411.32%23293017.87101828113000116848.91%21.0627
2Jakub Lauko1584490134341214234075248.40%43296118.75718258001143450.25%00.9024
3Josh Doan120567513128161162115929.46%42235319.627192610600007253.56%01.1123
4Jack St. Ivany13825841092312035216921711.52%210302421.92717248302221010.00%00.7200
5Ryan Carpenter8236629830145627429712.12%25180922.07720276200074359.80%11.0804

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
1Ales Stezka120683860.9043.1368474135737380440.72025
2Jiri Patera56291670.9003.4730648517717730310.6679

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
202482363205522296287941181503410144135941181702112152152093296534830101058410092951929950103944287381669220522514618.33%2855381.40%51558306450.85%1512299050.57%708135652.21%1913131819856141064520
20258248220422434925891412411011131831364741241103111166122441143496369854612111510710320710381059107163264380555520002767527.17%2394879.92%21788319056.05%1527286953.22%796139856.94%2188157617295651039545
Total Saison régulière164845409746645545100824226045233272715682422805223318274442076451170181556226199207196158196720092110107551616211247405252712122.96%52410180.73%73346625453.50%3039585951.87%1504275454.61%410228943715117921041065
Séries éliminatoires
2024514000001423-92020000069-331200000814-62142842005540178566755018763411171600.00%17288.24%08819445.36%10320250.99%448850.00%11477120386531
Total Séries éliminatoires514000001423-92020000069-331200000814-62142842005540178566755018763411171600.00%17288.24%08819445.36%10320250.99%448850.00%11477120386531

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
1Mathieu Olivier5336-341692810.71%210521.11000400021046.67%01.1400
2Brandon Scanlin5134-1456425.00%1310721.5100030000000.00%00.7400
3Jakub Lauko5224-5010151910.53%310921.87000400000049.40%00.7300
4Matej Blumel5123-1039137.69%17014.19000200000066.67%00.8500
5Calle Sjalin5033225530.00%78517.1500000000000.00%00.7000

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
1Ales Stezka51400.8774.6229900231870000.0000