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Sudbury Wolves
GP: 82 | W: 40 | L: 31 | OTL: 11 | P: 91
GF: 142 | GA: 148 | PP%: 22.53% | PK%: 76.73%
DG: Tyler Villeneuve | Morale : 39 | Moyenne d’équipe : 57

Centre de jeu
Jacksonville Lizard Kings
51-22-9, 111pts
2
FINAL
4 Sudbury Wolves
40-31-11, 91pts
Team Stats
L2SéquenceOTL1
30-8-3Fiche domicile19-14-8
21-14-6Fiche domicile21-17-3
7-3-0Derniers 10 matchs5-3-2
3.54Buts par match 1.73
2.40Buts contre par match 1.80
24.90%Pourcentage en avantage numérique22.53%
78.09%Pourcentage en désavantage numérique76.73%
Sudbury Wolves
40-31-11, 91pts
1
FINAL
2 Tucson Roadrunners
31-30-21, 83pts
Team Stats
OTL1SéquenceW1
19-14-8Fiche domicile17-15-9
21-17-3Fiche domicile14-15-12
5-3-2Derniers 10 matchs4-4-2
1.73Buts par match 2.17
1.80Buts contre par match 2.28
22.53%Pourcentage en avantage numérique30.64%
76.73%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Noah CatesButs
Noah Cates
27
Seth JonesPasses
Seth Jones
35
David KampfPoints
David Kampf
55
A.J. GreerPlus/Moins
A.J. Greer
3
Victoires
Joel Daccord
40
Pourcentage d’arrêts
Joel Daccord
0.895

Statistiques d’équipe
Buts pour
142
1.73 GFG
Tirs pour
1115
13.60 Avg
Pourcentage en avantage numérique
22.5%
41 GF
Début de zone offensive
37.4%
Buts contre
148
1.80 GAA
Tirs contre
1346
16.41 Avg
Pourcentage en désavantage numérique
76.7%%
37 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralTyler Villeneuve
EntraîneurDaniel Sedin
DivisionAdams
ConférenceWest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison3,000


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 250
Espoirs23


Historique d'équipe

Saison actuelle40-31-11 (91PTS)
Historique74-66-20 (0.463%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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
1Ilya Mikheyev0X100.00523598817378946655666268736874060700305841,667$
2Luke Evangelista0X100.00533593826877976655686665745668055700275797,500$
3David Kampf0X100.006035937874769459786160687064710616803072,400,000$
4Noah Cates0X100.006335997961777164646460777148640626802632,625,000$
5Will Cuylle (R)0X100.00825582788571985655596472704555065680235828,333$
6Jakub Lauko (R)0X100.00814986768069725455615675674558058660253787,500$
7Filip Chytil0XX100.004435898376826071557347606948660656602574,437,500$
8A.J. Greer0X100.00685684768266715155596074676065063660283850,000$
9Brendan Brisson (R)0XX100.00513596816974606055635461684558063630235925,000$
10Xavier Bourgault (R)0X100.00624070695957556242625862635050064600229775,000$
11Danila Klimovich (R)0X100.00657357576547696246645951534545065580225789,167$
12Nikita Alexandrov (R)0XX100.00533595756866605055504761624557065580245816,667$
13Zack Ostapchuk (R)0X100.00603599758070605055414159604552060570223870,000$
14Justin Sourdif (R)0X100.00493599747066605055414156604553038550235847,500$
15Josh Manson0X100.009062708288869266406762976380840618403355,800,000$
16Seth Jones0X100.006835868881998178407264886768850518203099,500,000$
17Andrew Peeke0X100.007135908082836062406348755752680387102752,750,000$
18Vladislav Kolyachonok (R)0X100.00403589827174606240635157584558059620245925,000$
19Jack Rathbone (R)0X100.00535162486359706259646764414848066600263896,250$
20Drew Helleson (R)0X100.00745062695951555241444844574545046530245925,000$
Rayé
1Ryan Winterton (R)0X100.00473599757167605055414156604551019550215775,000$
2Gage Goncalves (R)0X100.00493535746669605055414155604556020540241775,000$
3Alexander Kisakov (R)0X100.00677750475456666242535154404545020540225859,167$
4David Goyette (R)0X100.00505050505050555050505050505050019500219775,000$
5Kocha Delic (R)0X100.00505050505050555050505050505050020500219775,000$
6Francesco Pinelli0XX100.00505050505050555050505050505050019500229775,000$
7Sasha Pastujov (R)0XX100.00505050505050555050505050505050019500219775,000$
8Aiden Fink (R)0XXX100.00111111551111111101940209775,000$
9Luca Pinelli (R)0XXX100.00111111551111111101940209775,000$
10Vadim Moroz (R)0XXX100.00111111551111111101940219775,000$
11Maveric Lamoureux (R)0X100.00505050505050555050505050505050019500219775,000$
12Tomas Hamara (R)0X100.00505050505050555050505050505050020500219775,000$
13Michael Benning (R)0X100.00505050505050555050505050505050020500239775,000$
MOYENNE D’ÉQUIPE100.0053416862616066524751495654475204355
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
1Joel Daccord0100.00899193898891908789907960720798702831,200,000$
2Arturs Silovs (R)0100.00816572917078736970766245450797102472,250,000$
Rayé
MOYENNE D’ÉQUIPE100.008578839079858278808371535907979
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Daniel Sedin80808080808080SWE4661,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1David KampfSudbury Wolves (SEA)C82223355-380105155140367815.71%17191023.307815221411236877358.20%15193331000.5826000761
2Noah CatesSudbury Wolves (SEA)LW82272249-14801051352066612613.11%26188522.9961016351411015637451.72%2033527000.5215000953
3Seth JonesSudbury Wolves (SEA)D82103545-1025513116915961586.29%70217826.5771118401590229134200%05658100.4100000347
4Ilya MikheyevSudbury Wolves (SEA)RW82151732-720102106105285814.29%19168220.52781515121000013155.81%1292733000.3828000045
5Josh MansonSudbury Wolves (SEA)D824283217801701519241464.35%100221026.9613431131234107100%05166000.2900000214
6Will CuylleSudbury Wolves (SEA)LW82201232-1138013212176204226.32%30182922.31448911921351115141.43%701824010.3518000375
7Luke EvangelistaSudbury Wolves (SEA)RW8262531-1280851568532457.06%21162419.823121520120000001051.63%5521823000.3801000101
8Jakub LaukoSudbury Wolves (SEA)LW8213922-731510813075274617.33%29184622.523141714101101203145.77%3191521000.2423010251
9Vladislav KolyachonokSudbury Wolves (SEA)D8211920-11140691135026322.00%59208625.4415691570112102010%02750000.1900000111
10Filip ChytilSudbury Wolves (SEA)C/LW829615-2120928250192818.00%13123315.041124142023732148.88%2231722000.2411000221
11Jack RathboneSudbury Wolves (SEA)D82167-45207786161496.25%26160619.60123594011064000%0515000.0900000003
12Danila KlimovichSudbury Wolves (SEA)RW82516122014456207525.00%793211.3700019000001016.67%1256000.1300000211
13Nikita AlexandrovSudbury Wolves (SEA)LW/RW82134-1006961105710.00%193311.3801108000030081.82%11211000.0900000001
14Xavier BourgaultSudbury Wolves (SEA)C821341804428127118.33%34345.3000000000081045.19%10405000.1800000010
15Andrew PeekeSudbury Wolves (SEA)D4901110022587340%1071714.6300004000026000%0411000.0300000001
16A.J. GreerSudbury Wolves (SEA)LW8210130019932333.33%21982.420000000000100%301000.1000000100
17Brendan BrissonSudbury Wolves (SEA)LW/RW82011-100134130%01291.5700000000000050.00%210000.1500000000
18Zack OstapchukSudbury Wolves (SEA)C82000100000000%070.10000000000000100.00%20000000000000
19Maveric LamoureuxSudbury Wolves (SEA)D33000-320970100%12928.850000000009000%01100000000000
20Justin SourdifSudbury Wolves (SEA)RW48000000000000%000.010000000000000%00000000000000
21Drew HellesonSudbury Wolves (SEA)D64000318036235140%66339.89000017000121000%00300000000000
22Tomas HamaraSudbury Wolves (SEA)D18000-200650100%11216.750000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne1606136221357-773261015261654111539860512.20%4412449715.25416610718013677101735937341253.70%3149315408110.29932010333735
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
1Joel DaccordSudbury Wolves (SEA)824031110.8951.7049530101401334579360.84833820432
2Arturs SilovsSudbury Wolves (SEA)10001.000013000630000082000
Statistiques d’équipe totales ou en moyenne834031110.8961.694966010140134058236338282432


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
A.J. GreerSudbury Wolves (SEA)LW281996-12-14CANNo208 Lbs6 ft3NoNoN/ANoNo32024-07-02FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien NHL
Aiden FinkSudbury Wolves (SEA)C/LW/RW202004-11-24CANYes154 Lbs5 ft9NoNoTrade2025-03-19NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-2$2$2$2$2$2$2$2$-NoNoNoNoNoNoNoNo-
Alexander KisakovSudbury Wolves (SEA)LW222002-11-01RUSYes150 Lbs5 ft10NoNoTrade2024-07-10NoNo52024-07-02FalseFalsePro & Farm859,167$0$0$No859,167$859,167$859,167$859,167$-----859,167$859,167$859,167$859,167$-----NoNoNoNo-----
Andrew PeekeSudbury Wolves (SEA)D271998-03-17USANo210 Lbs6 ft3NoNoN/ANoNo52024-07-02FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$2,750,000$2,750,000$-----2,750,000$2,750,000$2,750,000$2,750,000$-----NoNoNoNo-----Lien / Lien NHL
Arturs SilovsSudbury Wolves (SEA)G242001-03-22LVAYes203 Lbs6 ft4NoNoN/ANoNo72024-07-02FalseFalsePro & Farm2,250,000$0$0$No2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$---2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$2,250,000$---NoNoNoNoNoNo---
Brendan BrissonSudbury Wolves (SEA)LW/RW232001-10-22USAYes185 Lbs6 ft0NoNoN/ANoNo52024-07-02FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$-----925,000$925,000$925,000$925,000$-----NoNoNoNo-----
Danila KlimovichSudbury Wolves (SEA)RW222003-01-09BLRYes202 Lbs6 ft2NoNoN/ANoNo52024-07-02FalseFalsePro & Farm789,167$0$0$No789,167$789,167$789,167$789,167$-----789,167$789,167$789,167$789,167$-----NoNoNoNo-----Lien
David GoyetteSudbury Wolves (SEA)C212004-03-27CANYes174 Lbs5 ft11NoNoN/ANoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
David KampfSudbury Wolves (SEA)C301995-01-12CZENo197 Lbs6 ft2NoNoN/ANoNo72024-07-02FalseFalsePro & Farm2,400,000$0$0$No2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$---2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$2,400,000$---NoNoNoNoNoNo---Lien / Lien NHL
Drew HellesonSudbury Wolves (SEA)D242001-03-26USAYes190 Lbs6 ft3NoNoN/ANoNo52024-07-02FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$-----925,000$925,000$925,000$925,000$-----NoNoNoNo-----
Filip ChytilSudbury Wolves (SEA)C/LW251999-09-05CZENo204 Lbs6 ft2NoNoTrade2024-10-20NoNo72024-07-02FalseFalsePro & Farm4,437,500$0$0$No4,437,500$4,437,500$4,437,500$4,437,500$4,437,500$4,437,500$---4,437,500$4,437,500$4,437,500$4,437,500$4,437,500$4,437,500$---NoNoNoNoNoNo---Lien / Lien NHL
Francesco PinelliSudbury Wolves (SEA)LW/RW222003-04-11CANNo185 Lbs5 ft11NoNoTrade2024-07-10NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Gage GoncalvesSudbury Wolves (SEA)C242001-01-16CANYes181 Lbs6 ft0NoNoN/ANoNo12024-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------
Ilya MikheyevSudbury Wolves (SEA)RW301994-10-10RUSNo192 Lbs6 ft2NoNoN/ANoNo52024-07-02FalseFalsePro & Farm841,667$0$0$No841,667$841,667$841,667$841,667$-----841,667$841,667$841,667$841,667$-----NoNoNoNo-----Lien / Lien NHL
Jack RathboneSudbury Wolves (SEA)D261999-05-20USAYes177 Lbs5 ft10NoNoN/ANoNo32024-07-02FalseFalsePro & Farm896,250$0$0$No896,250$896,250$-------896,250$896,250$-------NoNo-------Lien / Lien NHL
Jakub LaukoSudbury Wolves (SEA)LW252000-03-28CZEYes196 Lbs6 ft0NoNoN/ANoNo32024-07-02FalseFalsePro & Farm787,500$0$0$No787,500$787,500$-------787,500$787,500$-------NoNo-------Lien
Joel DaccordSudbury Wolves (SEA)G281996-08-19USANo197 Lbs6 ft2NoNoN/ANoNo32024-07-02FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------
Josh Manson (contrat à 1 volet)Sudbury Wolves (SEA)D331991-10-07USANo218 Lbs6 ft3NoNoTrade2025-03-19NoNo52024-07-02FalseFalsePro & Farm5,800,000$5,800,000$760,000$No5,800,000$5,800,000$5,800,000$5,800,000$-----5,800,000$5,800,000$5,800,000$5,800,000$-----NoNoNoNo-----Lien / Lien NHL
Justin SourdifSudbury Wolves (SEA)RW232002-03-24CANYes180 Lbs5 ft11NoNoN/ANoNo52024-07-02FalseFalsePro & Farm847,500$0$0$No847,500$847,500$847,500$847,500$-----847,500$847,500$847,500$847,500$-----NoNoNoNo-----
Kocha DelicSudbury Wolves (SEA)C212004-03-11CANYes180 Lbs5 ft10NoNoN/ANoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Luca PinelliSudbury Wolves (SEA)C/LW/RW202005-04-05CANYes168 Lbs5 ft9NoNoTrade2025-03-19NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1$1$1$1$1$1$1$1$-NoNoNoNoNoNoNoNo-
Luke EvangelistaSudbury Wolves (SEA)RW271997-08-07CANNo183 Lbs6 ft0NoNoN/ANoNo52024-07-02FalseFalsePro & Farm797,500$0$0$No797,500$797,500$797,500$797,500$-----797,500$797,500$797,500$797,500$-----NoNoNoNo-----Lien / Lien NHL
Maveric LamoureuxSudbury Wolves (SEA)D212004-01-13CANYes197 Lbs6 ft7NoNoN/ANoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Michael BenningSudbury Wolves (SEA)D232002-01-02CANYes184 Lbs5 ft9NoNoTrade2024-07-10NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Nikita AlexandrovSudbury Wolves (SEA)LW/RW242000-09-16DEUYes177 Lbs6 ft1NoNoN/ANoNo52024-07-02FalseFalsePro & Farm816,667$0$0$No816,667$816,667$816,667$816,667$-----816,667$816,667$816,667$816,667$-----NoNoNoNo-----Lien / Lien NHL
Noah CatesSudbury Wolves (SEA)LW261999-02-05USANo165 Lbs6 ft1NoNoN/ANoNo32024-07-02FalseFalsePro & Farm2,625,000$0$0$No2,625,000$2,625,000$-------2,625,000$2,625,000$-------NoNo-------Lien / Lien NHL
Ryan WintertonSudbury Wolves (SEA)C212003-09-04CANYes190 Lbs6 ft2NoNoN/ANoNo52024-07-02FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----766,667$766,667$766,667$766,667$-----NoNoNoNo-----
Sasha PastujovSudbury Wolves (SEA)LW/RW212003-07-15USAYes187 Lbs5 ft11NoNoTrade2025-03-19NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Seth Jones (contrat à 1 volet)Sudbury Wolves (SEA)D301994-10-03USANo213 Lbs6 ft4NoNoTrade2025-04-01NoNo92024-07-21FalseFalsePro & Farm9,500,000$9,500,000$1,244,828$No9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$-9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$9,500,000$-NoNoNoNoNoNoNoNo-Lien / Lien NHL
Tomas HamaraSudbury Wolves (SEA)D212004-03-09CZEYes192 Lbs6 ft0NoNoN/ANoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Vadim MorozSudbury Wolves (SEA)C/LW/RW212003-11-20RUSYes185 Lbs6 ft2NoNoTrade2025-03-19NoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1$1$1$1$1$1$1$1$-NoNoNoNoNoNoNoNo-
Vladislav KolyachonokSudbury Wolves (SEA)D242001-05-26BLRYes193 Lbs6 ft1NoNoN/ANoNo52024-07-02FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$-----925,000$925,000$925,000$925,000$-----NoNoNoNo-----Lien
Will CuylleSudbury Wolves (SEA)LW232002-02-05CANYes211 Lbs6 ft3NoNoN/ANoNo52024-07-02FalseFalsePro & Farm828,333$0$0$No828,333$828,333$828,333$828,333$-----828,333$828,333$828,333$828,333$-----NoNoNoNo-----
Xavier BourgaultSudbury Wolves (SEA)C222002-10-22CANYes172 Lbs6 ft0NoNoN/ANoNo9FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$775,000$775,000$775,000$775,000$-1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$-NoNoNoNoNoNoNoNo-
Zack OstapchukSudbury Wolves (SEA)C222003-05-29CANYes205 Lbs6 ft3NoNoN/ANoNo32024-07-02FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.11189 Lbs6 ft16.091,514,179$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesDavid KampfJakub Lauko40122
2Will CuylleLuke EvangelistaIlya Mikheyev30122
3Noah CatesDavid KampfWill Cuylle20122
4Jakub LaukoNoah CatesDavid Kampf10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokJosh Manson40122
2Seth JonesJack Rathbone30122
3Seth JonesJosh Manson20122
4Seth JonesVladislav Kolyachonok10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah CatesDavid KampfJakub Lauko60122
2Will CuylleIlya MikheyevLuke Evangelista40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesVladislav Kolyachonok60122
2Jack RathboneJosh Manson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakub LaukoWill Cuylle60122
2David KampfNoah Cates40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MansonSeth Jones60122
2Jack RathboneVladislav Kolyachonok40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Kampf60122Vladislav KolyachonokJosh Manson60122
2Will Cuylle40122Jack RathboneSeth Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakub LaukoWill Cuylle60122
2David KampfNoah Cates40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth JonesJosh Manson60122
2Vladislav KolyachonokJack Rathbone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleDavid KampfNoah CatesSeth JonesJosh Manson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Will CuylleDavid KampfNoah CatesSeth JonesJosh Manson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Kampf, Will Cuylle, Jakub LaukoWill Cuylle, David KampfJakub Lauko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Seth Jones, Vladislav Kolyachonok, Josh MansonJosh MansonJosh Manson, Vladislav Kolyachonok
Tirs de pénalité
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko
Gardien
#1 : Joel Daccord, #2 : Arturs Silovs
Lignes d’attaque personnalisées en prolongation
Ilya Mikheyev, Will Cuylle, David Kampf, Noah Cates, Jakub Lauko, Danila Klimovich, Filip Chytil, Luke Evangelista, A.J. Greer, Brendan Brisson
Lignes de défense personnalisées en prolongation
Josh Manson, Seth Jones, Jack Rathbone, Vladislav Kolyachonok, Andrew Peeke


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
1Calgary Canucks200011002201000010012-11000100010130.7502460115476716321893525277934118267114.29%4175.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
2Cleveland Monsters8330101013130421000107524120100068-2100.6251320331215476716941893525277995352814615533.33%14564.29%1638115055.48%657124752.69%39668158.15%1467506140687720981111
3Columbus River Dragons814012001523-840200200511-6412010001012-260.375152338001547671613318935252779230743215120525.00%16381.25%0638115055.48%657124752.69%39668158.15%1467506140687720981111
4Greenville Swamp Rabbits82301011111014020100157-24210001063390.563111728021547671610718935252779126343414310110.00%17570.59%0638115055.48%657124752.69%39668158.15%1467506140687720981111
5Hershey Bears22000000615110000003121100000030341.0006814011547671629189352527795219474250.00%7185.71%3638115055.48%657124752.69%39668158.15%1467506140687720981111
6IUP Crimson Hawks2010010013-21000010012-11010000001-110.250123001547671624189352527791961038200.00%5180.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
7Jacksonville Lizard Kings21100000770110000004221010000035-220.5007111800154767164918935252779621610387228.57%5180.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
8Lillehammer IK2020000014-31010000002-21010000012-100.0001230015476716241893525277941104417114.29%20100.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
9O'Fallon Madcats832002101213-1421001006514110011068-2100.6251220321115476716761893525277980192616022418.18%13284.62%0638115055.48%657124752.69%39668158.15%1467506140687720981111
10Orlando Solar Bears2020000028-61010000015-41010000013-200.000246001547671639189352527793913834800.00%4250.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
11San Diego Spartans815020001119-84120100079-240301000410-660.37511162710154767161051893525277918783501611317.69%25484.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
12Saskatoon Blades21100000220110000002111010000001-120.5002240015476716281893525277941140233133.33%000%0638115055.48%657124752.69%39668158.15%1467506140687720981111
13Skelleftea AIK2010010035-21000010023-11010000012-110.2503580015476716361893525277951910314125.00%50100.00%1638115055.48%657124752.69%39668158.15%1467506140687720981111
14Sydney Ice Dogs832001111011-14210000156-141100110550100.62510122220154767169118935252779104322314719421.05%10280.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
15Tucson Roadrunners813011201013-34120001057-24010111056-190.56310122210154767161071893525277912041301541218.33%15566.67%1638115055.48%657124752.69%39668158.15%1467506140687720981111
16Utica Comets22000000633110000004311100000020241.00061117011547671636189352527791924375240.00%2150.00%0638115055.48%657124752.69%39668158.15%1467506140687720981111
17Wheeling Nailers871000003011194310000011474400000019712140.875305282021547671610518935252779934030149241041.67%15473.33%1638115055.48%657124752.69%39668158.15%1467506140687720981111
Total82273107962142148-6411514026226975-64112170534073730910.55514222136361015476716111518935252779134644132615261824122.53%1593776.73%7638115055.48%657124752.69%39668158.15%1467506140687720981111
_Since Last GM Reset82273107962142148-6411514026226975-64112170534073730910.55514222136361015476716111518935252779134644132615261824122.53%1593776.73%7638115055.48%657124752.69%39668158.15%1467506140687720981111
_Vs Conference64212306662112113-1321112023225154-33210110434061592740.578112172284671547671681818935252779103535825312111353122.96%1253076.00%3638115055.48%657124752.69%39668158.15%1467506140687720981111
_Vs Division48212306662969602411120232246451241011043405051-1740.771961522483415476716675189352527798832981929041102724.55%962079.17%3638115055.48%657124752.69%39668158.15%1467506140687720981111

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291OTL1142221363111513464413261526610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8227317962142148
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41151426226975
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41121753407373
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1824122.53%1593776.73%7
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
1893525277915476716
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
638115055.48%657124752.69%39668158.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1467506140687720981111


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
29Cleveland Monsters2Sudbury Wolves3WSommaire du match
319San Diego Spartans3Sudbury Wolves0LSommaire du match
530Sudbury Wolves4Columbus River Dragons3WSommaire du match
637O'Fallon Madcats3Sudbury Wolves1LSommaire du match
954Columbus River Dragons3Sudbury Wolves1LSommaire du match
1066Sudbury Wolves2San Diego Spartans1WXSommaire du match
1173Cleveland Monsters0Sudbury Wolves2WSommaire du match
1281Sudbury Wolves2Sydney Ice Dogs1WXXSommaire du match
1389Sudbury Wolves2Greenville Swamp Rabbits0WSommaire du match
1596Tucson Roadrunners2Sudbury Wolves0LSommaire du match
17109Greenville Swamp Rabbits2Sudbury Wolves1LXXSommaire du match
19123Sudbury Wolves2Cleveland Monsters1WXSommaire du match
20124Sudbury Wolves0O'Fallon Madcats3LSommaire du match
21131Wheeling Nailers3Sudbury Wolves1LSommaire du match
22143Sudbury Wolves6Wheeling Nailers2WSommaire du match
23148Greenville Swamp Rabbits2Sudbury Wolves1LSommaire du match
25162Sudbury Wolves2Tucson Roadrunners1WXSommaire du match
26169Sydney Ice Dogs2Sudbury Wolves0LSommaire du match
27179Sudbury Wolves0Greenville Swamp Rabbits2LSommaire du match
29187Wheeling Nailers1Sudbury Wolves7WSommaire du match
30198Columbus River Dragons3Sudbury Wolves2LXSommaire du match
33211Sudbury Wolves2Columbus River Dragons1WXSommaire du match
34217O'Fallon Madcats1Sudbury Wolves0LXSommaire du match
35229Sudbury Wolves1Cleveland Monsters4LSommaire du match
36235Orlando Solar Bears5Sudbury Wolves1LSommaire du match
37245Sudbury Wolves0IUP Crimson Hawks1LSommaire du match
38253Utica Comets3Sudbury Wolves4WSommaire du match
39259Sudbury Wolves0Cleveland Monsters2LSommaire du match
40268Sudbury Wolves1San Diego Spartans2LSommaire du match
41276O'Fallon Madcats0Sudbury Wolves2WSommaire du match
43283Sudbury Wolves2O'Fallon Madcats3LXSommaire du match
44292San Diego Spartans2Sudbury Wolves0LSommaire du match
45302Sudbury Wolves1Columbus River Dragons4LSommaire du match
46310Hershey Bears1Sudbury Wolves3WSommaire du match
49323Sudbury Wolves2O'Fallon Madcats1WXXSommaire du match
50329Greenville Swamp Rabbits2Sudbury Wolves3WXSommaire du match
51343Tucson Roadrunners2Sudbury Wolves0LSommaire du match
53355Sudbury Wolves3Wheeling Nailers1WSommaire du match
54361Cleveland Monsters3Sudbury Wolves1LSommaire du match
55371Sudbury Wolves0San Diego Spartans4LSommaire du match
56375Sudbury Wolves2Greenville Swamp Rabbits0WSommaire du match
57383Greenville Swamp Rabbits1Sudbury Wolves0LSommaire du match
59398Saskatoon Blades1Sudbury Wolves2WSommaire du match
60408Sudbury Wolves1Orlando Solar Bears3LSommaire du match
61413Sudbury Wolves2Wheeling Nailers1WSommaire du match
62419Wheeling Nailers0Sudbury Wolves2WSommaire du match
64428Sudbury Wolves2Tucson Roadrunners1WXXSommaire du match
65436San Diego Spartans3Sudbury Wolves4WXSommaire du match
67448Sudbury Wolves2Greenville Swamp Rabbits1WXXSommaire du match
68454Sydney Ice Dogs2Sudbury Wolves1LXXSommaire du match
69463Sudbury Wolves3Sydney Ice Dogs1WSommaire du match
70474IUP Crimson Hawks2Sudbury Wolves1LXSommaire du match
72487Cleveland Monsters0Sudbury Wolves1WXXSommaire du match
73494Sudbury Wolves0Saskatoon Blades1LSommaire du match
74503Sudbury Wolves2O'Fallon Madcats1WSommaire du match
75510San Diego Spartans1Sudbury Wolves3WSommaire du match
77522Lillehammer IK2Sudbury Wolves0LSommaire du match
79532Sudbury Wolves1San Diego Spartans3LSommaire du match
80541Sydney Ice Dogs1Sudbury Wolves2WSommaire du match
82552Sudbury Wolves2Utica Comets0WSommaire du match
83559Calgary Canucks2Sudbury Wolves1LXSommaire du match
84568Sudbury Wolves3Hershey Bears0WSommaire du match
85574Sudbury Wolves1Skelleftea AIK2LSommaire du match
86580Wheeling Nailers0Sudbury Wolves1WSommaire du match
87593O'Fallon Madcats1Sudbury Wolves3WSommaire du match
89602Sudbury Wolves3Columbus River Dragons4LSommaire du match
90607Sudbury Wolves3Jacksonville Lizard Kings5LSommaire du match
91616Skelleftea AIK3Sudbury Wolves2LXSommaire du match
92630Columbus River Dragons2Sudbury Wolves0LSommaire du match
93634Sudbury Wolves0Sydney Ice Dogs1LXSommaire du match
95647Sudbury Wolves8Wheeling Nailers3WSommaire du match
96651Sudbury Wolves3Cleveland Monsters1WSommaire du match
97657Sydney Ice Dogs1Sudbury Wolves2WSommaire du match
98668Tucson Roadrunners1Sudbury Wolves2WSommaire du match
100679Sudbury Wolves0Tucson Roadrunners2LSommaire du match
101681Sudbury Wolves1Lillehammer IK2LSommaire du match
102694Tucson Roadrunners2Sudbury Wolves3WXXSommaire du match
103702Sudbury Wolves1Calgary Canucks0WXSommaire du match
104710Columbus River Dragons3Sudbury Wolves2LXSommaire du match
105712Sudbury Wolves0Sydney Ice Dogs2LSommaire du match
108729Jacksonville Lizard Kings2Sudbury Wolves4WSommaire du match
109734Sudbury Wolves1Tucson Roadrunners2LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,872,956$ 3,769,626$ 3,769,626$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,872,957$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 42,970$ 0$




Sudbury Wolves 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
1David Kampf1644381124-112220635028615.03%46382023.30122739501231412557.92%10.65210
2Noah Cates1646354117-311620826744514.16%68374722.8517203781101914851.97%30.6215
3Will Cuylle164343872-168526625419817.17%68364622.24661222235913345.33%10.39214
4Jakub Lauko164293160-186124828916317.79%70366522.35107174712327145.32%00.3323
5Seth Jones82103545-10251311691596.29%70217826.5771118400229200%00.4100

Sudbury 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
1Joel Daccord824031110.8951.7049530101401334579360.84833
2Anton Forsberg823435120.8922.174813091741618684050.46715
3Arturs Silovs70010.8642.9116500859260000

Sudbury 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
482273506815157192-35411714043039195-4411021025126697-3181157255412591958738123424241252373167657738215771974020.30%1814774.03%3653116755.96%727144350.38%42277554.45%1421513154688820041037
582273107962142148-6411514026226975-641121705340737309114222136361015476716111518935252779134644132615261824122.53%1593776.73%7638115055.48%657124752.69%39668158.15%1467506140687720981111
Total Saison régulière16454660131777299340-4182322806925160170-1082223807852139170-3117229947677511193410514024234943176410501523022101870831033798121.37%3408475.29%101291231755.72%1384269051.45%818145656.18%288910192953176541022148
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Sudbury Wolves 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

Sudbury 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