Connexion

Wolfpack
GP: 80 | W: 43 | L: 33 | OTL: 4 | P: 90
GF: 351 | GA: 321 | PP%: 23.26% | PK%: 75.85%
DG: Eric Mercier | Morale : 50 | Moyenne d’équipe : 63
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Centre de jeu
Wolfpack
43-33-4, 90pts
3
FINAL
2 Thunderbirds
42-31-7, 91pts
Team Stats
OTL1StreakW1
24-15-1Home Record23-14-3
19-18-3Away Record19-17-4
6-2-2Last 10 Games4-6-0
4.39Buts par match 4.19
4.01Buts contre par match 4.14
23.26%Pourcentage en avantage numérique20.80%
75.85%Pourcentage en désavantage numérique79.02%
Wolfpack
43-33-4, 90pts
2
FINAL
3 Sound Tigers
42-33-5, 89pts
Team Stats
OTL1StreakOTW1
24-15-1Home Record20-18-2
19-18-3Away Record22-15-3
6-2-2Last 10 Games8-2-0
4.39Buts par match 4.11
4.01Buts contre par match 4.23
23.26%Pourcentage en avantage numérique19.73%
75.85%Pourcentage en désavantage numérique79.71%
Meneurs d'équipe
Buts
Stefan Noesen
54
Passes
Maxime Sauvé
70
Points
Stefan Noesen
121
Plus/Moins
Stefan Noesen
34
Victoires
Samuel Montembeault
28
Pourcentage d’arrêts
Jake Paterson
0.909

Statistiques d’équipe
Buts pour
351
4.39 GFG
Tirs pour
2602
32.53 Avg
Pourcentage en avantage numérique
23.3%
77 GF
Début de zone offensive
36.2%
Buts contre
321
4.01 GAA
Tirs contre
2526
31.58 Avg
Pourcentage en désavantage numérique
75.9%
85 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralEric Mercier
EntraîneurJack Capuano
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,791
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Maxime SauvéX100.008028826983757471827276627355523364710261950,000$
2Dave DziurzynskiX100.007425727180717671687174687065592553700271900,000$
3Henrik Samuelsson (R)X100.006634767968786375747071668150445053700221950,000$
4Stefan Noesen (R)X100.007937737476677174657676646551484461700231900,000$
5Ryan Dzingel (R)X100.006938807273747070717072657260564258690241900,000$
6Seth Griffith (R)X100.007228827869677375726971557651494670680232700,000$
7Samuel Blais (R)X100.008135737274547374636767636544426465660203750,000$
8Sebastian Collberg (R)X100.006032847367727460677568606245464771660222700,000$
9Kevin Roy (R)X100.006427785972677065687076585947463970650231600,000$
10Connor Chatam (R)X100.007134626568546467536864635842435570620202600,000$
11Dryden Hunt (R)X100.005139675566606366676678466744455522620211500,000$
12Adam Lowry (R)X100.006030676764627361625966516247474423600231500,000$
13Derrick Pouliot (R)X100.007122826869697873497269736053465057690221550,000$
14Steven Santini (R)X100.006935747864666777507855675246445471680211650,000$
15Vince Dunn (R)X100.007038866159736474467178656044446657680201500,000$
16Mikhail Sergachev (R)X100.006951816971677269466759686040407857670182500,000$
17Ryan Culkin (R)X100.006636747665606376487058675548484270660232600,000$
18Colton White (R)X100.006743765867586160406451645542426439620191500,000$
Rayé
1David Pope (R)X91.406433817568746772727371597150474759680221650,000$
2Alexander Barabanov (R)X100.006240685974756163676072467144514936620222500,000$
3Jake Marchment (R)X100.005829746360635656566253635342425520590202500,000$
4Alex Barre-Boulet (R)X100.006142795957665556635666525943416231590192500,000$
5Joel Kiviranta (R)X100.005740676560575365655359506444435619580201500,000$
6Yegor Korshkov (R)X100.005631606649606268515064465843435220570202500,000$
7Mikhail Vorobyev (R)X100.005227655445635454727065345041417120550191500,000$
8Jeffrey Viel (R)X100.006849665378527256485654445042417620550192500,000$
9Keegan Kolesar (R)X100.004838594349535246446044463941415320480191500,000$
10Joshua Jacobs (R)X100.006642795761586858446151615143435922600202500,000$
11Will Borgen (R)X100.006846605868745352255355584143425720590201500,000$
12Andrew Peeke (R)X100.007340616067695149315947573540406920590182500,000$
13Dante Fabbro (R)X100.006332785753626159345961494940407520570182500,000$
14Jacob Middleton (R)X100.006344615563684650246643523542425420560202500,000$
MOYENNE D’ÉQUIPE99.73663673656665646456656458594645544363
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
1Mike Condon100.00686971787874697372717266653266720261800,000$
2Samuel Montembeault99.00657456647674777687675949465560720201500,000$
Rayé
1Jake Paterson100.00624964666160515961576644443919580221350,000$
MOYENNE D’ÉQUIPE99.6765646469726966697365665352424867
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano63706156474458USA483350,000$


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
1Stefan NoesenWolfpack (NyR)RW735467121349801221153139417017.25%37147120.161524395724600001077241.48%1355237021.64180001053
2Maxime SauvéWolfpack (NyR)C763570105272951271812487615614.11%45180723.78928375326821382692753.87%27144836011.1619001268
3Henrik SamuelssonWolfpack (NyR)C80306393136751331412638119211.41%22146818.35813213122312381653152.11%10215827001.2723100724
4Dave DziurzynskiWolfpack (NyR)LW73335386308551341222438114513.58%39151520.751016263522101152176146.03%1264434111.1427010674
5Ryan DzingelWolfpack (NyR)LW63323062622012268142417922.54%2097815.53369131310222634054.29%352811011.2712000454
6David PopeWolfpack (NyR)LW78303060216085861737111117.34%22106613.68426125830351041156.86%514221021.1213000351
7Sebastian CollbergWolfpack (NyR)RW80213859819510857132277015.91%27125215.66871521217000002146.55%582713000.9400001221
8Steven SantiniWolfpack (NyR)D80938471581510212813755446.57%104190223.785611192400222250300.00%03365000.4900001204
9Seth GriffithWolfpack (NyR)C80291544-131209676186589315.59%1597212.160001110000293251.20%5004218000.9022000335
10Samuel BlaisWolfpack (NyR)LW78241438-342010868173509313.87%2297412.50731014109000091151.43%352315010.7801000312
11Derrick PouliotWolfpack (NyR)D716303616295961159644386.25%110182225.672810172360112275110.00%03959000.4000000010
12Vince DunnWolfpack (NyR)D64528331920106912511735324.27%61155924.37279172250003194110.00%03550000.4201101001
13Mikhail SergachevWolfpack (NyR)D80626325455831228135387.41%105177922.254610162460000205100.00%02158000.3600010010
14Connor ChatamWolfpack (NyR)RW8010203016001235870266014.29%1887010.88033131000011129.41%17616000.6900000021
15Kevin RoyWolfpack (NyR)C80101424-9140323484264311.90%165797.25000030001140049.09%220108000.8300000102
16Alexander BarabanovWolfpack (NyR)LW515611101402161971526.32%32895.6800003000000150.00%1041000.7600000000
17Ryan CulkinWolfpack (NyR)D80189-334041795413161.85%56106413.30000033101264100.00%01533000.1701000010
18Colton WhiteWolfpack (NyR)D6808802803848228100.00%6283612.30000122000032000.00%0324000.1900000000
19Jonas BrodinRangersD41452403373114.29%810827.2400011900029100.00%022000.9200000000
20Joshua JacobsWolfpack (NyR)D401451240112363016.67%173629.0700003000014000.00%0016000.2800000000
21Adam LowryWolfpack (NyR)C301232007350320.00%0842.82000020110330053.85%2610000.7100000000
22Dryden HuntWolfpack (NyR)LW39213-10001071631212.50%01684.3300003000080050.00%421000.3600000000
23Keegan KolesarWolfpack (NyR)RW14011420753320.00%21329.48000000000000100.00%100000.1500000000
24Will BorgenWolfpack (NyR)D290118120973120.00%121685.820000100004000.00%005000.1200000000
25Alex Barre-BouletWolfpack (NyR)C51101-400211780312.50%32615.12000000000150028.57%1402000.0800000000
26Andrew PeekeWolfpack (NyR)D23011-100111110.00%1532.330000000003000.00%010000.3700000000
27Jake MarchmentWolfpack (NyR)C29000000010000.00%1150.55000010000100050.00%200000.0000000000
28Joel KivirantaWolfpack (NyR)LW25000000000000.00%000.010000000000000.00%000000.0000000000
29Dante FabbroWolfpack (NyR)D9000100120000.00%0303.430000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne162834657291817273745171016982602842142913.30%8282360014.5077129206309256271017402107382052.26%4969536552180.781037224434140
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
1Samuel MontembeaultWolfpack (NyR)53281740.8813.622949401781498729420.68025527202
2Mike CondonWolfpack (NyR)2710800.8883.6111134067597301201.00031366101
3Harru SateriRangers154800.8355.557460069417192110.0000150000
4Jake PatersonWolfpack (NyR)11000.9092.3126001113001.000307000
Statistiques d’équipe totales ou en moyenne96433340.8753.9148358031525231225730.742318080303


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 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 LowryWolfpack (NyR)C231993-01-01Yes210 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Alex Barre-BouletWolfpack (NyR)C191997-01-01Yes181 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Alexander BarabanovWolfpack (NyR)LW221994-01-01Yes192 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Andrew PeekeWolfpack (NyR)D181998-01-01Yes194 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Colton WhiteWolfpack (NyR)D191997-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Connor ChatamWolfpack (NyR)RW201996-01-01Yes225 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Dante FabbroWolfpack (NyR)D181998-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dave DziurzynskiWolfpack (NyR)LW271989-01-01No204 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
David PopeWolfpack (NyR)LW221994-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Derrick PouliotWolfpack (NyR)D221994-01-01Yes192 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$No
Dryden HuntWolfpack (NyR)LW211995-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Henrik SamuelssonWolfpack (NyR)C221994-01-01Yes216 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Jacob MiddletonWolfpack (NyR)D201996-01-01Yes214 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jake MarchmentWolfpack (NyR)C201996-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jake PatersonWolfpack (NyR)G221994-01-01No176 Lbs6 ft0NoNoNo1Pro & Farm350,000$0$0$No
Jeffrey VielWolfpack (NyR)LW191997-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joel KivirantaWolfpack (NyR)LW201996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Joshua JacobsWolfpack (NyR)D201996-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Keegan KolesarWolfpack (NyR)RW191997-01-01Yes227 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Kevin RoyWolfpack (NyR)C231993-01-01Yes156 Lbs5 ft8NoNoNo1Pro & Farm600,000$0$0$No
Maxime SauvéWolfpack (NyR)C261990-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
Mike CondonWolfpack (NyR)G261990-01-01No197 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Mikhail SergachevWolfpack (NyR)D181998-01-01Yes216 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mikhail VorobyevWolfpack (NyR)C191997-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Ryan CulkinWolfpack (NyR)D231993-01-01Yes176 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Ryan DzingelWolfpack (NyR)LW241992-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
Samuel BlaisWolfpack (NyR)LW201996-01-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Samuel MontembeaultWolfpack (NyR)G201996-01-01No199 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Sebastian CollbergWolfpack (NyR)RW221994-01-01Yes180 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No800,000$
Seth GriffithWolfpack (NyR)C231993-01-01Yes180 Lbs5 ft9NoNoNo2Pro & Farm700,000$0$0$No800,000$
Stefan NoesenWolfpack (NyR)RW231993-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Steven SantiniWolfpack (NyR)D211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Vince DunnWolfpack (NyR)D201996-01-01Yes203 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Will BorgenWolfpack (NyR)D201996-01-01Yes198 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Yegor KorshkovWolfpack (NyR)LW201996-01-01Yes187 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3521.17195 Lbs6 ft11.46601,429$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dave DziurzynskiMaxime SauvéStefan Noesen40122
2Ryan DzingelHenrik SamuelssonSebastian Collberg30122
3Samuel BlaisSeth GriffithConnor Chatam20122
4Dryden HuntKevin RoyAdam Lowry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derrick PouliotSteven Santini35122
2Vince DunnMikhail Sergachev35122
3Ryan CulkinColton White20122
4Derrick PouliotSteven Santini10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dave DziurzynskiMaxime SauvéStefan Noesen60122
2Ryan DzingelHenrik SamuelssonSebastian Collberg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derrick PouliotSteven Santini60122
2Vince DunnMikhail Sergachev40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Maxime SauvéDave Dziurzynski60122
2Henrik SamuelssonRyan Dzingel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan CulkinColton White60122
2Steven SantiniDerrick Pouliot40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Maxime Sauvé60122Colton WhiteRyan Culkin60122
2Henrik Samuelsson40122Derrick PouliotMikhail Sergachev40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Maxime SauvéDave Dziurzynski60122
2Henrik SamuelssonRyan Dzingel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince DunnMikhail Sergachev60122
2Ryan CulkinColton White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dave DziurzynskiMaxime SauvéStefan NoesenDerrick PouliotSteven Santini
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dave DziurzynskiMaxime SauvéStefan NoesenDerrick PouliotSteven Santini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Dzingel, Samuel Blais, Sebastian CollbergRyan Dzingel, Samuel BlaisRyan Dzingel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikhail Sergachev, Ryan Culkin, Colton WhiteMikhail SergachevMikhail Sergachev, Ryan Culkin
Tirs de pénalité
Maxime Sauvé, Stefan Noesen, Dave Dziurzynski, Henrik Samuelsson, Ryan Dzingel
Gardien
#1 : Samuel Montembeault, #2 : Mike Condon


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
1Admirals211000001486110000009181010000057-220.50014233700102131110136786785986443582419415120.00%8362.50%0917180150.92%982183353.57%698133552.28%167990616837711480736
2Barracuda32100000141042110000079-21100000071640.667142539001021311101387867859864437626275610330.00%11463.64%1917180150.92%982183353.57%698133552.28%167990616837711480736
3Bears4220000016151312000001012-21100000063340.50016274300102131110131228678598644314541288022418.18%14285.71%0917180150.92%982183353.57%698133552.28%167990616837711480736
4Comets31100010181351100000010462010001089-140.667182644101021311101391867859864439726328112325.00%11190.91%1917180150.92%982183353.57%698133552.28%167990616837711480736
5Condors20100001811-31010000057-21000000134-110.25081422101021311101376867859864436327164710330.00%8275.00%0917180150.92%982183353.57%698133552.28%167990616837711480736
6Crunch624000002630-43120000014131312000001217-540.333264672001021311101320786785986443182627713126519.23%391171.79%0917180150.92%982183353.57%698133552.28%167990616837711480736
7Devils312000001013-3110000006512020000048-420.333101828001021311101310586785986443804414689222.22%7185.71%0917180150.92%982183353.57%698133552.28%167990616837711480736
8Eagles73400000312923210000013103413000001819-160.429315081001021311101320886785986443213746613026726.92%33681.82%1917180150.92%982183353.57%698133552.28%167990616837711480736
9Griffins2110000012661010000034-11100000092720.50012203200102131110137286785986443722414409111.11%8187.50%0917180150.92%982183353.57%698133552.28%167990616837711480736
10Heat302010001214-22010100089-11010000045-120.333121830001021311101311086785986443963320669111.11%10370.00%0917180150.92%982183353.57%698133552.28%167990616837711480736
11Icehogs200010101192100000106511000100054141.0001118290010213111013648678598644367151641400.00%8362.50%0917180150.92%982183353.57%698133552.28%167990616837711480736
12Little Stars3200001013103210000109721100000043161.000131730001021311101396867859864439232325711218.18%16287.50%0917180150.92%982183353.57%698133552.28%167990616837711480736
13Marlies20200000611-51010000036-31010000035-200.00061117001021311101377867859864436814163814535.71%8362.50%0917180150.92%982183353.57%698133552.28%167990616837711480736
14Monsters2100100014113100010007611100000075241.0001422360010213111013748678598644366231654500.00%8537.50%1917180150.92%982183353.57%698133552.28%167990616837711480736
15Moose211000007611010000034-11100000042220.500791600102131110136286785986443652510389222.22%50100.00%0917180150.92%982183353.57%698133552.28%167990616837711480736
16Penguins6320001024204320000101486312000001012-280.667244064001021311101315686785986443198628211422522.73%36877.78%1917180150.92%982183353.57%698133552.28%167990616837711480736
17Phantoms2100000110731000000134-11100000073430.75010182800102131110135686785986443633112565240.00%6350.00%0917180150.92%982183353.57%698133552.28%167990616837711480736
18Punishers31200000914-5211000007611010000028-620.333913220010213111013112867859864438835356710550.00%15380.00%1917180150.92%982183353.57%698133552.28%167990616837711480736
19Rampage32100000990110000005412110000045-140.66791625101021311101392867859864438725186117211.76%9277.78%0917180150.92%982183353.57%698133552.28%167990616837711480736
20Reign2110000089-1110000005411010000035-220.50081624001021311101376867859864437123124810110.00%6433.33%0917180150.92%982183353.57%698133552.28%167990616837711480736
21Rocket220000001587110000007431100000084441.000152439001021311101360867859864437221374510440.00%13376.92%0917180150.92%982183353.57%698133552.28%167990616837711480736
22Senators31100001141402110000010911000000145-130.5001423370010213111013108867859864439121248716318.75%12558.33%0917180150.92%982183353.57%698133552.28%167990616837711480736
23Sound Tigers42100100201551010000026-432000100189950.62520305000102131110131428678598644313633348118527.78%17382.35%0917180150.92%982183353.57%698133552.28%167990616837711480736
24Thunderbirds65000010281993200001017134330000001165121.0002845730010213111013200867859864432016370120341132.35%35682.86%1917180150.92%982183353.57%698133552.28%167990616837711480736
25Wolves30300000210-81010000013-22020000017-600.0002350010213111013828678598644379241863800.00%9188.89%0917180150.92%982183353.57%698133552.28%167990616837711480736
Total80353303153351321304018150204118416321401718011121671589900.5633515729233010213111013260286785986443252682874517103317723.26%3528575.85%7917180150.92%982183353.57%698133552.28%167990616837711480736
_Since Last GM Reset80353303153351321304018150204118416321401718011121671589900.5633515729233010213111013260286785986443252682874517103317723.26%3528575.85%7917180150.92%982183353.57%698133552.28%167990616837711480736
_Vs Conference512422001402061979241380003010891172711140011098106-8570.5592063315372010213111013161386785986443159852150610532155123.72%2414680.91%5917180150.92%982183353.57%698133552.28%167990616837711480736
_Vs Division2513100002010998111273000205844141367000005154-3300.6001091812900010213111013771867859864437942612954951082825.93%1433178.32%3917180150.92%982183353.57%698133552.28%167990616837711480736

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8090OTL135157292326022526828745171030
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035333153351321
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018152041184163
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017181112167158
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3317723.26%3528575.85%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
8678598644310213111013
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
917180150.92%982183353.57%698133552.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167990616837711480736


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
1 - 2021-11-303Wolfpack3Penguins7ALSommaire du match
5 - 2021-12-0418Crunch5Wolfpack2BLSommaire du match
9 - 2021-12-0837Wolfpack5Eagles1AWSommaire du match
10 - 2021-12-0944Wolfpack1Crunch6ALSommaire du match
11 - 2021-12-1051Thunderbirds3Wolfpack5BWR1Sommaire du match
15 - 2021-12-1472Eagles3Wolfpack2BLSommaire du match
20 - 2021-12-1993Bears3Wolfpack5BWSommaire du match
22 - 2021-12-21108Wolfpack2Eagles4ALSommaire du match
23 - 2021-12-22109Wolfpack9Sound Tigers3AWSommaire du match
26 - 2021-12-25127Penguins2Wolfpack6BWSommaire du match
28 - 2021-12-27137Wolfpack5Eagles6ALSommaire du match
30 - 2021-12-29149Wolfpack2Comets1AWXXSommaire du match
31 - 2021-12-30154Punishers1Wolfpack3BWSommaire du match
33 - 2022-01-01164Wolfpack4Thunderbirds2AWR1Sommaire du match
35 - 2022-01-03176Wolfpack2Penguins3ALSommaire du match
36 - 2022-01-04182Thunderbirds6Wolfpack7BWXXR1Sommaire du match
39 - 2022-01-07201Eagles3Wolfpack4BWSommaire du match
41 - 2022-01-09215Wolfpack9Griffins2AWSommaire du match
44 - 2022-01-12229Heat2Wolfpack3BWXSommaire du match
46 - 2022-01-14242Wolfpack6Bears3AWSommaire du match
48 - 2022-01-16254Moose4Wolfpack3BLSommaire du match
50 - 2022-01-18268Wolfpack7Phantoms3AWSommaire du match
52 - 2022-01-20273Wolfpack8Rocket4AWSommaire du match
54 - 2022-01-22283Eagles4Wolfpack7BWSommaire du match
56 - 2022-01-24297Wolfpack7Monsters5AWSommaire du match
59 - 2022-01-27309Griffins4Wolfpack3BLSommaire du match
61 - 2022-01-29322Wolfpack5Icehogs4AWXSommaire du match
63 - 2022-01-31336Icehogs5Wolfpack6BWXXSommaire du match
65 - 2022-02-02345Wolfpack6Eagles8ALSommaire du match
67 - 2022-02-04354Wolfpack4Little Stars3AWSommaire du match
69 - 2022-02-06363Admirals1Wolfpack9BWSommaire du match
71 - 2022-02-08375Wolfpack4Senators5ALXXSommaire du match
73 - 2022-02-10388Rampage4Wolfpack5BWSommaire du match
76 - 2022-02-13403Wolfpack2Rampage4ALSommaire du match
78 - 2022-02-15415Condors7Wolfpack5BLSommaire du match
83 - 2022-02-20436Devils5Wolfpack6BWSommaire du match
85 - 2022-02-22445Wolfpack3Condors4ALXXSommaire du match
89 - 2022-02-26465Bears5Wolfpack3BLSommaire du match
91 - 2022-02-28480Wolfpack1Wolves3ALSommaire du match
93 - 2022-03-02489Punishers5Wolfpack4BLSommaire du match
95 - 2022-03-04502Wolfpack0Wolves4ALSommaire du match
98 - 2022-03-07516Crunch3Wolfpack9BWSommaire du match
103 - 2022-03-12539Sound Tigers6Wolfpack2BLSommaire du match
106 - 2022-03-15554Wolfpack4Thunderbirds2AWR1Sommaire du match
108 - 2022-03-17564Crunch5Wolfpack3BLSommaire du match
111 - 2022-03-20580Wolfpack5Crunch6ALSommaire du match
115 - 2022-03-24591Little Stars3Wolfpack4BWXXSommaire du match
118 - 2022-03-27608Marlies6Wolfpack3BLSommaire du match
120 - 2022-03-29620Wolfpack3Marlies5ALSommaire du match
123 - 2022-04-01632Wolfpack6Crunch5AWSommaire du match
125 - 2022-04-03643Rocket4Wolfpack7BWSommaire du match
127 - 2022-04-05658Wolfpack3Reign5ALSommaire du match
129 - 2022-04-07669Thunderbirds4Wolfpack5BWR1Sommaire du match
130 - 2022-04-08680Wolfpack5Admirals7ALSommaire du match
132 - 2022-04-10691Wolfpack2Punishers8ALSommaire du match
133 - 2022-04-11697Heat7Wolfpack5BLSommaire du match
137 - 2022-04-15716Wolfpack4Heat5ALSommaire du match
138 - 2022-04-16724Bears4Wolfpack2BLSommaire du match
141 - 2022-04-19739Wolfpack6Comets8ALSommaire du match
143 - 2022-04-21751Wolfpack3Devils5ALSommaire du match
144 - 2022-04-22754Reign4Wolfpack5BWSommaire du match
147 - 2022-04-25775Wolfpack1Devils3ALSommaire du match
148 - 2022-04-26779Monsters6Wolfpack7BWXSommaire du match
152 - 2022-04-30802Wolfpack5Penguins2AWSommaire du match
153 - 2022-05-01805Wolves3Wolfpack1BLSommaire du match
157 - 2022-05-05830Little Stars4Wolfpack5BWSommaire du match
160 - 2022-05-08849Barracuda4Wolfpack5BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11862Wolfpack7Barracuda1AWSommaire du match
165 - 2022-05-13875Wolfpack7Sound Tigers3AWSommaire du match
166 - 2022-05-14883Penguins3Wolfpack4BWXXSommaire du match
172 - 2022-05-20906Senators7Wolfpack5BLSommaire du match
175 - 2022-05-23923Wolfpack2Rampage1AWSommaire du match
177 - 2022-05-25931Comets4Wolfpack10BWSommaire du match
180 - 2022-05-28950Penguins3Wolfpack4BWSommaire du match
184 - 2022-06-01970Phantoms4Wolfpack3BLXXSommaire du match
189 - 2022-06-06992Senators2Wolfpack5BWSommaire du match
193 - 2022-06-101014Wolfpack4Moose2AWSommaire du match
196 - 2022-06-131019Barracuda5Wolfpack2BLSommaire du match
197 - 2022-06-141026Wolfpack3Thunderbirds2AWR1Sommaire du match
199 - 2022-06-161039Wolfpack2Sound Tigers3ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,21037,448
Assistance PCT92.76%93.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2791 - 93.05% 82,926$3,317,027$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,460,925$ 2,105,000$ 1,620,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,525$ 2,098,675$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,275$ 0$




Wolfpack 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

Wolfpack 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

Wolfpack 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

Wolfpack 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

Wolfpack 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