Wolf Pack

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jonathan Laroche | Morale : 50 | Moyenne d'Équipe : 48
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Matt LuffX100.00734396647156765926675758254949050580223700,000$
2Hunter ShinkarukX100.00706691636561585650465464555252050550243900,000$
3Blake SpeersXX100.00747083686760615266464663455555050550221667,000$
4Cliff PuXX100.00777287557254564961494462424444050520212742,500$
5Tyler Moy (R)XXX100.00514690657065904558463545376464050520244650,000$
6Emerson EtemXX100.00524385617348334535424962504943050500272550,000$
7Tomas Hyka (R)XX100.00433591704554354849494754473734050490262710,000$
8Maxim MaminXXX100.00524382597248344335384750473734050460242732,500$
9Borna RendulicXX100.004635926469432931403131654537340504402756,500,000$
10Matt TennysonX100.00784886707663645425494563255858050600291850,000$
11Christian JarosX100.00784786637657725325544662255454050590232730,000$
12Matt BartkowskiX100.00746975657259615125444067386465050590313655,000$
13Joey LaLeggiaXX100.00726288686475785446464862464646050590275900,000$
14Kevin CzuczmanX100.00787384667668684925404065394646050580283700,000$
15Mark AltX100.00797483657768764825384264404444050580271700,000$
16Anton Karlsson (R)X100.00736982626963684625374059384444050550234700,000$
Rayé
1Tyler Kelleher (R)X100.00433486745474916255555745606464050580244525,000$
2Henrik HaapalaXX100.00403593654647313335343253463532050420252925,000$
3Jonne Tammela (R)XX100.00364040405735353640363640383230050380222716,112$
4Martins Dzierkals (R)X100.00374343435135353743373743403230050380221700,000$
5Max Zimmer (R)X100.00364040405935353640363640383230050380212650,000$
6Jordy Stallard (R)X100.00333737375833333337333337353230050350222525,000$
7Daniel SedinX100.001920202020191919201919202020200502103926,000,000$
8Simon Bourque (R)X100.00323737376331313237323237343230050360221525,000$
MOYENNE D'ÉQUIPE100.0056497458635253453842415340444305049
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 SP
1Samu Perhonen (R)100.0038434068373535353535343230050390
2Karel Vejmelka (R)100.0033373576333232323232313230050380
Rayé
MOYENNE D'ÉQUIPE100.003640387235343434343433323005039
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anton KarlssonWolf Pack (Ran)D231996-08-03Yes187 Lbs6 ft1NoNoNo4Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$700,000$Lien
Blake SpeersWolf Pack (Ran)C/RW221997-01-02No185 Lbs5 ft11NoNoNo1Pro & Farm667,000$238,214$66,700$23,821$NoLien
Borna RendulicWolf Pack (Ran)LW/RW271992-03-25No200 Lbs6 ft2NoNoNo5Pro & Farm6,500,000$2,321,428$650,000$232,143$No6,500,000$6,500,000$6,500,000$6,500,000$Lien
Christian JarosWolf Pack (Ran)D231996-04-02No201 Lbs6 ft3NoNoNo2Pro & Farm730,000$260,714$73,000$26,071$No730,000$Lien
Cliff PuWolf Pack (Ran)C/RW211998-06-03No192 Lbs6 ft2NoNoNo2Pro & Farm742,500$265,178$74,250$26,518$No742,500$Lien
Daniel Sedin (Contrat à 1 Volet)Wolf Pack (Ran)LW391980-09-26No190 Lbs6 ft1NoNoNo2Pro & Farm6,000,000$2,142,857$6,000,000$2,142,857$No6,000,000$Lien
Emerson EtemWolf Pack (Ran)LW/RW271992-06-16No212 Lbs6 ft1NoNoNo2Pro & Farm550,000$196,428$55,000$19,643$No550,000$Lien
Henrik HaapalaWolf Pack (Ran)LW/RW251994-02-28No165 Lbs5 ft9NoNoNo2Pro & Farm925,000$330,357$92,500$33,036$No925,000$Lien
Hunter ShinkarukWolf Pack (Ran)LW241994-10-13No181 Lbs5 ft10NoNoNo3Pro & Farm900,000$321,428$90,000$32,143$No900,000$900,000$Lien
Joey LaLeggiaWolf Pack (Ran)LW/D271992-06-24No182 Lbs5 ft9NoNoNo5Pro & Farm900,000$321,428$90,000$32,143$No900,000$900,000$900,000$900,000$Lien
Jonne TammelaWolf Pack (Ran)LW/RW221997-08-05Yes186 Lbs5 ft10NoNoNo2Pro & Farm716,112$255,754$71,611$25,575$No716,112$Lien
Jordy StallardWolf Pack (Ran)C221997-09-18Yes185 Lbs6 ft1NoNoNo2Pro & Farm525,000$187,500$52,500$18,750$No525,000$Lien
Karel VejmelkaWolf Pack (Ran)G231996-05-25Yes202 Lbs6 ft3NoNoNo1Pro & Farm525,000$187,500$52,500$18,750$NoLien
Kevin CzuczmanWolf Pack (Ran)D281991-01-09No206 Lbs6 ft2NoNoNo3Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$Lien
Mark AltWolf Pack (Ran)D271991-10-17No201 Lbs6 ft4NoNoNo1Pro & Farm700,000$250,000$70,000$25,000$NoLien
Martins DzierkalsWolf Pack (Ran)RW221997-04-04Yes173 Lbs5 ft11NoNoNo1Pro & Farm700,000$250,000$70,000$25,000$NoLien
Matt BartkowskiWolf Pack (Ran)D311988-06-04No196 Lbs6 ft1NoNoNo3Pro & Farm650,000$232,142$65,500$23,393$No600,000$575,000$Lien
Matt LuffWolf Pack (Ran)RW221997-05-04No188 Lbs6 ft3NoNoNo3Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$Lien
Matt TennysonWolf Pack (Ran)D291990-04-23No205 Lbs6 ft2NoNoNo1Pro & Farm850,000$303,571$85,000$30,357$NoLien
Max ZimmerWolf Pack (Ran)LW211997-10-29Yes187 Lbs6 ft0NoNoNo2Pro & Farm650,000$232,142$65,000$23,214$No650,000$Lien
Maxim MaminWolf Pack (Ran)C/LW/RW241995-01-13No206 Lbs6 ft2NoNoNo2Pro & Farm732,500$261,607$73,250$26,161$No732,500$Lien
Samu PerhonenWolf Pack (Ran)G261993-03-07Yes184 Lbs6 ft5NoNoNo4Pro & Farm700,000$250,000$70,000$25,000$No700,000$700,000$700,000$Lien
Simon BourqueWolf Pack (Ran)D221997-01-12Yes195 Lbs6 ft1NoNoNo1Pro & Farm525,000$187,500$52,500$18,750$NoLien
Tomas HykaWolf Pack (Ran)LW/RW261993-03-23Yes160 Lbs5 ft11NoNoNo2Pro & Farm710,000$253,571$71,000$25,357$No710,000$Lien
Tyler KelleherWolf Pack (Ran)RW241995-01-02Yes161 Lbs5 ft6NoNoNo4Pro & Farm525,000$187,500$52,500$18,750$No525,000$525,000$525,000$Lien
Tyler MoyWolf Pack (Ran)C/LW/RW241995-07-18Yes194 Lbs6 ft1NoNoNo4Pro & Farm650,000$232,142$65,000$23,214$No650,000$650,000$650,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.04189 Lbs6 ft12.461,122,043$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Hunter ShinkarukBlake SpeersMatt Luff40122
2Tomas HykaTyler MoyCliff Pu30122
3Borna RendulicMaxim Mamin20122
4Blake SpeersMatt LuffHunter Shinkaruk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonMatt Bartkowski40122
2Christian Jaros30122
3Kevin CzuczmanAnton Karlsson20122
4Matt TennysonMatt Bartkowski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Hunter ShinkarukBlake SpeersMatt Luff60122
2Tomas HykaTyler MoyCliff Pu40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonMatt Bartkowski60122
2Christian Jaros40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt LuffBlake Speers60122
2Hunter ShinkarukTyler Moy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonMatt Bartkowski60122
2Christian Jaros40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Luff60122Matt TennysonMatt Bartkowski60122
2Blake Speers40122Christian Jaros40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt LuffBlake Speers60122
2Hunter ShinkarukTyler Moy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt TennysonMatt Bartkowski60122
2Christian Jaros40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Hunter ShinkarukBlake SpeersMatt LuffMatt TennysonMatt Bartkowski
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Hunter ShinkarukBlake SpeersMatt LuffMatt TennysonMatt Bartkowski
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxim Mamin, Borna Rendulic, Maxim Mamin, Borna Rendulic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Czuczman, Anton Karlsson, Christian JarosKevin CzuczmanAnton Karlsson, Christian Jaros
Tirs de Pénalité
Matt Luff, Blake Speers, Hunter Shinkaruk, Tyler Moy, Cliff Pu
Gardien
#1 : Samu Perhonen, #2 : Karel Vejmelka


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,317,311$ 2,317,811$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 26 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 10 0$ 0$




LigueDomicileVisiteur
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