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Wolf Pack
GP: 16 | W: 5 | L: 10 | OTL: 1 | P: 11
GF: 78 | GA: 110 | PP%: 19.23% | PK%: 67.57%
DG: Steve | Morale : 50 | Moyenne d’équipe : 59

Centre de jeu
Bears
14-2-0, 28pts
8
FINAL
4 Wolf Pack
5-10-1, 11pts
Team Stats
W6SéquenceL4
7-1-0Fiche domicile2-5-1
7-1-0Fiche domicile3-5-0
9-1-0Derniers 10 matchs4-6-0
7.38Buts par match 4.88
2.75Buts contre par match 6.88
31.03%Pourcentage en avantage numérique19.23%
78.31%Pourcentage en désavantage numérique67.57%
Wolf Pack
5-10-1, 11pts
8
FINAL
9 Bruins
10-5-1, 21pts
Team Stats
L4SéquenceW1
2-5-1Fiche domicile5-2-1
3-5-0Fiche domicile5-3-0
4-6-0Derniers 10 matchs7-3-0
4.88Buts par match 5.94
6.88Buts contre par match 5.25
19.23%Pourcentage en avantage numérique20.41%
67.57%Pourcentage en désavantage numérique62.22%
Meneurs d'équipe
Bradly NadeauButs
Bradly Nadeau
40
Seamus CaseyPasses
Seamus Casey
17
Bradly NadeauPoints
Bradly Nadeau
42
Bradly NadeauPlus/Moins
Bradly Nadeau
11

Statistiques d’équipe
Buts pour
78
4.88 GFG
Tirs pour
616
38.50 Avg
Pourcentage en avantage numérique
19.2%
10 GF
Début de zone offensive
37.5%
Buts contre
110
6.88 GAA
Tirs contre
652
40.75 Avg
Pourcentage en désavantage numérique
67.6%%
12 GA
Début de la zone défensive
33.7%
Informations de l'équipe

Directeur généralSteve
EntraîneurDavid Bell
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 51
Espoirs29


Historique d'équipe

Saison actuelle5-10-1 (11PTS)
Historique0--0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Bradly Nadeau (R)XX100.008344947466638068265076672545457150630212918,333$
2Joshua RoyXX100.0074708365707376655059666563474766506202332,000,000$
3John HaydenXX100.007282496582798557714758675565666050620311850,000$
4Owen Beck (R)XXX100.008144878171538860775058652546466250610222853,333$
5Luca Del Bel Belluz (R)XX100.005941907069538462555755672546466150600221860,000$
6Jakub Stancl (R)X100.007974916274707554684756645344446050580213936,111$
7Filip MesarX100.007265886065798654505351614844445950580222886,667$
8Henrik RybinskiX100.007772876372535259745756645344446150580251850,000$
9Danny ZhilkinX100.007975896275535355694857645444446050570222866,666$
10Spencer SmallmanX100.007775826375504958505656645344445950570302850,000$
11Hugh McGingXX100.006460745760788457505653575044445850570284900,000$
12Aidan Thompson (R)X100.007366906066596055695154615144445850560243907,500$
13Jaycob MegnaX100.0083828465827583472535416939626255506303311,500,000$
14Andreas EnglundX100.007477666277677249253941653962635350600301900,000$
15Stian Solberg (R)X100.007276615876798651253751604844445650590203975,000$
16Ryan MastX100.008482876382596250254739663744445450590232850,000$
17Sebastian AhoDX100.007064836264515154254941643962635450580301850,000$
Rayé
1Will LockwoodX100.007467896667515056705058625544445950560281850,000$
2Seamus Casey (R)X100.007165866065545455255540613845465450560222950,000$
3Gavin WhiteX100.007772895972474848253446624444445250550231857,500$
MOYENNE D’ÉQUIPE100.00756882647262695648495364454848595059
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 DiPietro100.00575468767065726967613044446450630271850,000$
2Jon Gillies100.0053485490544959575553524747485056N0321850,000$
Rayé
MOYENNE D’ÉQUIPE100.0055516183625766636157414646565060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Bell72646661757177CAN491475,000$


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
1Bradly NadeauWolf Pack (NYR)LW/RW16402421114072291673410823.95%4831219.5370737410000101046.15%2600092.6900000701
2Seamus CaseyWolf Pack (NYR)D131171861403213112109.09%2520415.710001100007000%000001.7600000013
3Luca Del Bel BelluzWolf Pack (NYR)C/LW1612214-1360364593296612.90%3028217.6611223370001231066.17%26600000.9900000020
4Owen BeckWolf Pack (NYR)C/LW/RW1610212-160151851103619.61%131328.3001158000151075.00%11600011.8100000122
Statistiques d’équipe totales ou en moyenne6163238634001551053227522019.57%11693215.28821066890002473067.40%408000101.8500000856
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


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 Salaire restantPlafond 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
Aidan ThompsonWolf Pack (NYR)C242002-02-18USAYes180 Lbs5 ft11NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm907,500$907,500$0$0$No907,500$907,500$-------907,500$907,500$-------NoNo-------Lien / Lien NHL
Andreas EnglundWolf Pack (NYR)D301996-01-21SWENo200 Lbs6 ft4NoNoTrade2026-08-31NoNo12024-08-04FalseFalsePro & Farm900,000$900,000$0$0$No---------------------------Lien / Lien NHL
Bradly NadeauWolf Pack (NYR)LW/RW212005-05-05CANYes180 Lbs5 ft11NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm918,333$918,333$0$0$No918,333$--------918,333$--------No--------Lien / Lien NHL
Danny ZhilkinWolf Pack (NYR)C222003-12-19ONTNo200 Lbs6 ft2NoNoFree AgentNoNo22025-09-05FalseFalsePro & Farm866,666$866,666$0$0$No866,666$--------866,666$--------No--------Lien / Lien NHL
Filip MesarWolf Pack (NYR)RW222004-01-03SVKNo181 Lbs5 ft10NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm886,667$886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Gavin WhiteWolf Pack (NYR)D232002-11-12CANNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm857,500$857,500$0$0$No---------------------------Lien / Lien NHL
Henrik RybinskiWolf Pack (NYR)C252001-06-26ABNo195 Lbs6 ft1NoNoAssign ManuallyNoNo12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Hugh McGingWolf Pack (NYR)LW/RW281998-07-11USANo174 Lbs5 ft8NoNoTrade2026-08-31NoNo42025-08-02FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien / Lien NHL
Jakub StanclWolf Pack (NYR)C212005-04-10CZEYes198 Lbs6 ft3NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm936,111$936,111$0$0$No936,111$936,111$-------936,111$936,111$-------NoNo-------Lien / Lien NHL
Jaycob MegnaWolf Pack (NYR)D331992-12-10USANo214 Lbs6 ft6NoNoTrade2026-08-31NoNo12024-08-11FalseFalsePro & Farm1,500,000$1,500,000$0$0$No---------------------------Lien / Lien NHL
John HaydenWolf Pack (NYR)C/RW311995-02-14USANo223 Lbs6 ft3NoNoTrade2026-08-31NoNo12025-08-19FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Jon GilliesWolf Pack (NYR)G321994-01-21USANo216 Lbs6 ft5YesNoFree Agent2026-01-26NoNo12026-08-08FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Joshua RoyWolf Pack (NYR)LW/RW232003-08-06CANNo192 Lbs6 ft0NoNoTrade2026-08-14NoNo32026-07-06FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Luca Del Bel BelluzWolf Pack (NYR)C/LW222003-11-10CANYes185 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm860,000$860,000$0$0$No---------------------------Lien / Lien NHL
Michael DiPietroWolf Pack (NYR)G271999-06-09CANNo205 Lbs6 ft1NoNoTrade2026-08-14NoNo12025-08-15FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Owen BeckWolf Pack (NYR)C/LW/RW222004-02-03CANYes199 Lbs6 ft0NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm853,333$853,333$0$0$No853,333$--------853,333$--------No--------Lien / Lien NHL
Ryan MastWolf Pack (NYR)D232003-01-14USANo217 Lbs6 ft5NoNoAssign Manually2026-08-31NoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Seamus CaseyWolf Pack (NYR)D222004-01-08USAYes181 Lbs5 ft10NoNoAssign ManuallyNoNo22025-06-14FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Sebastian AhoDWolf Pack (NYR)D301996-02-17SWENo177 Lbs5 ft11NoNoAssign Manually2026-08-31NoNo12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Spencer SmallmanWolf Pack (NYR)RW301996-09-09CANNo205 Lbs6 ft1NoNoAssign Manually2026-08-31NoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Stian SolbergWolf Pack (NYR)D202005-12-29NORYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32026-08-01FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien / Lien NHL
Will LockwoodWolf Pack (NYR)RW281998-06-20USANo185 Lbs5 ft11NoNoAssign Manually2026-08-31NoNo12026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.41196 Lbs6 ft11.82959,596$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bradly Nadeau40122
2Luca Del Bel Belluz30122
320122
4Owen Beck10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bradly Nadeau60122
2Luca Del Bel Belluz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel Belluz60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Luca Del Bel Belluz4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel Belluz60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bradly Nadeau
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bradly Nadeau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Luca Del Bel Belluz, , , Bradly Nadeau
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Luca Del Bel Belluz, , , Bradly Nadeau, , Owen Beck, , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1Bears20200000818-101010000048-410100000410-600.00081422003627150401912022221883418176350.00%9277.78%020742548.71%17138244.76%14832545.54%3682754189617582
2Bruins202000001017-71010000028-61010000089-100.00010192900362715095191202222174116338337.50%3233.33%020742548.71%17138244.76%14832545.54%3682754189617582
3Checkers20200000515-101010000038-51010000027-500.0005813003627150571912022221882112499111.11%6183.33%020742548.71%17138244.76%14832545.54%3682754189617582
4Islanders33000000201281100000073422000000139461.0002031510036271501801912022221120354846233.33%10100.00%020742548.71%17138244.76%14832545.54%3682754189617582
5Penguins21000100161511000010089-11100000086230.75016244000362715088191202222190301238300.00%6433.33%020742548.71%17138244.76%14832545.54%3682754189617582
6Phantoms20200000317-1410100000210-81010000017-600.00036900362715032191202222179211229700.00%6266.67%020742548.71%17138244.76%14832545.54%3682754189617582
7Wolves312000001616021100000121021010000046-220.33316264210362715012419120222211133712441317.69%6183.33%020742548.71%17138244.76%14832545.54%3682754189617582
Total165100010078110-32825001003856-18835000004054-14110.34478128206103627150616191202222165218976294521019.23%371267.57%020742548.71%17138244.76%14832545.54%3682754189617582
_Since Last GM Reset165100010078110-32825001003856-18835000004054-14110.34478128206103627150616191202222165218976294521019.23%371267.57%020742548.71%17138244.76%14832545.54%3682754189617582
_Vs Conference165100010078110-32825001003856-18835000004054-14110.34478128206103627150616191202222165218976294521019.23%371267.57%020742548.71%17138244.76%14832545.54%3682754189617582
_Vs Division12510001006378-15625001003340-7635000003038-8110.4586310116410362715046419120222214901575821235617.14%28967.86%020742548.71%17138244.76%14832545.54%3682754189617582

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1611L4781282066166521897629410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
16510010078110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82501003856
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
83500004054
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521019.23%371267.57%0
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
19120222213627150
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
20742548.71%17138244.76%14832545.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3682754189617582


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
111Wolves7Wolf Pack4LSommaire du match
228Wolf Pack7Islanders4WSommaire du match
448Penguins9Wolf Pack8LXSommaire du match
550Wolf Pack4Wolves6LSommaire du match
664Wolf Pack1Phantoms7LSommaire du match
778Wolf Pack2Checkers7LSommaire du match
896Bruins8Wolf Pack2LSommaire du match
10116Checkers8Wolf Pack3LSommaire du match
11129Wolf Pack6Islanders5WSommaire du match
13149Wolves3Wolf Pack8WSommaire du match
15172Islanders3Wolf Pack7WSommaire du match
16190Wolf Pack8Penguins6WSommaire du match
17195Wolf Pack4Bears10LSommaire du match
19212Phantoms10Wolf Pack2LSommaire du match
22239Bears8Wolf Pack4LSommaire du match
23254Wolf Pack8Bruins9LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200
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
0$ 2,111,111$ 2,111,111$ 475,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Wolf Pack 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

Wolf Pack 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

Wolf Pack 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
Total Saison régulière00000000000000%0%0%0%0%000000
Séries éliminatoires
20257340000022220413000001012-232100000121026223961001066016057475601514013914238410.53%431174.42%09619948.24%11522351.57%5611150.45%167115163538844
Total Séries éliminatoires7340000022220413000001012-232100000121026223961001066016057475601514013914238410.53%431174.42%09619948.24%11522351.57%5611150.45%167115163538844

Wolf Pack 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
1Vinni Lettieri73471817231816.67%015021.54112400000041.95%00.9300
2Tanner Laczynski7167241016137.69%113519.35022400000063.16%01.0300
3Bradly Nadeau724636681216.67%012017.15112200000180.00%01.0000
4Kyle Rau714520110616.67%0557.86000000000050.00%01.8200
5Stephen Halliday73252112131127.27%18912.80000000001067.65%11.1200

Wolf Pack 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
1Dustin Tokarski73400.8413.42369002113200000
2Felix Sandstrom20000.9471.25480011900000