Wolf Pack

GP: 5 | W: 0 | L: 5 | OTL: 0 | P: 0
GF: 9 | GA: 26 | PP%: 18.18% | PK%: 78.95%
DG: Sébastien Lessard | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #67 vs Rocket
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Tyler GaudetX100.0055555555555555555055555555505015100
2Adam PardyX100.0055555560555558552555555555697015100
3Kenney MorrisonX100.0055555560555559552555555555535315100
4Simon Bourque (R)X100.0055555560555568552555555555555515100
5Christian Jaros (R)X100.0055555560555558552555555555555515100
6Zac LeslieX100.0055555560555555552555555555555515100
7Viktor LoovX100.0057555560555561552555555555535315100
Rayé
MOYENNE D'ÉQUIPE100.005555555955555955295555555556561510
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
1C.J. Motte100.005555555555555555555555606015100
2Stephon Williams (R)100.005670707762626262656255596115100
Rayé
MOYENNE D'ÉQUIPE100.00566363665959595960595560611510
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul MacLean80686375988077FRA5813,800,000$


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'ÉquipePOS GP 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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam PardyWolf Pack (NYR)D321984-03-28No227 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
C.J. MotteWolf Pack (NYR)G251991-12-10No176 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Christian JarosWolf Pack (NYR)D201996-04-02Yes201 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Kenney MorrisonWolf Pack (NYR)D241992-02-12No210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Simon BourqueWolf Pack (NYR)D201997-01-12Yes183 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Stephon WilliamsWolf Pack (NYR)G231993-04-28Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Tyler GaudetWolf Pack (NYR)C231993-04-03No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Viktor LoovWolf Pack (NYR)D241992-11-15No187 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Zac LeslieWolf Pack (NYR)D221994-01-31No174 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
923.67195 Lbs6 ft22.44344,444$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Bruins30300000817-920200000612-61010000025-300.0008162400513058362032010835184213323.08%8275.00%02710825.00%2716516.36%118013.75%5936187395317
2Devils1010000003-3000000000001010000003-300.0000000051302036203204326136700.00%40100.00%02710825.00%2716516.36%118013.75%5936187395317
3Rocket1010000016-51010000016-50000000000000.000123005130103620320572116232150.00%7271.43%02710825.00%2716516.36%118013.75%5936187395317
Total50500000926-1730300000718-112020000028-600.0009182700513088362032020882477122418.18%19478.95%02710825.00%2716516.36%118013.75%5936187395317
_Since Last GM Reset50500000926-1730300000718-112020000028-600.0009182700513088362032020882477122418.18%19478.95%02710825.00%2716516.36%118013.75%5936187395317
_Vs Conference40400000820-1220200000612-62020000028-600.0008162400513078362032015161314820315.00%12283.33%02710825.00%2716516.36%118013.75%5936187395317
_Vs Division40100000923-1430000000718-111010000025-300.0009182700513068362032016556346515426.67%15473.33%02710825.00%2716516.36%118013.75%5936187395317

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
50L5918278820882477100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5050000926
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000718
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000028
Derniers 10 Matchs
WLOTWOTL SOWSOL
050000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
22418.18%19478.95%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
36203205130
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
2710825.00%2716516.36%118013.75%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
5936187395317


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
3 - 2018-09-074Bruins6Wolf Pack4LSommaire du Match
5 - 2018-09-0924Rocket6Wolf Pack1LSommaire du Match
8 - 2018-09-1229Wolf Pack0Devils3LSommaire du Match
10 - 2018-09-1436Bruins6Wolf Pack2LSommaire du Match
11 - 2018-09-1551Wolf Pack2Bruins5LSommaire du Match
15 - 2018-09-1967Wolf Pack-Rocket-
17 - 2018-09-2171Wolf Pack-Senators-
18 - 2018-09-2283Wolf Pack-Marlies-
22 - 2018-09-26103Phantoms-Wolf Pack-
25 - 2018-09-29126Sound Tigers-Wolf Pack-
26 - 2018-09-30132Wolf Pack-Thunderbirds-
31 - 2018-10-05143Wolf Pack-Penguins-
32 - 2018-10-06161Wolf Pack-Penguins-
33 - 2018-10-07168Wolf Pack-Bears-
38 - 2018-10-12181Wolf Pack-Comets-
39 - 2018-10-13193Penguins-Wolf Pack-
43 - 2018-10-17215Sound Tigers-Wolf Pack-
46 - 2018-10-20237Comets-Wolf Pack-
47 - 2018-10-21249Americans-Wolf Pack-
50 - 2018-10-24257Bruins-Wolf Pack-
52 - 2018-10-26264Wolf Pack-Sound Tigers-
53 - 2018-10-27285Sound Tigers-Wolf Pack-
60 - 2018-11-03321Checkers-Wolf Pack-
64 - 2018-11-07340Wolf Pack-Sound Tigers-
66 - 2018-11-09355Checkers-Wolf Pack-
67 - 2018-11-10364Wolf Pack-Bears-
72 - 2018-11-15390Wolf Pack-Checkers-
74 - 2018-11-17402Wolf Pack-Checkers-
78 - 2018-11-21424Bruins-Wolf Pack-
80 - 2018-11-23437Wolf Pack-Americans-
81 - 2018-11-24453Wolf Pack-Americans-
86 - 2018-11-29471Wolf Pack-Sound Tigers-
88 - 2018-12-01487Sound Tigers-Wolf Pack-
89 - 2018-12-02499Thunderbirds-Wolf Pack-
94 - 2018-12-07523Thunderbirds-Wolf Pack-
95 - 2018-12-08533Phantoms-Wolf Pack-
96 - 2018-12-09546Wolf Pack-Bruins-
101 - 2018-12-14565Wolf Pack-Bruins-
102 - 2018-12-15576Wolf Pack-Sound Tigers-
108 - 2018-12-21609Phantoms-Wolf Pack-
109 - 2018-12-22619Thunderbirds-Wolf Pack-
110 - 2018-12-23634Wolf Pack-Bruins-
113 - 2018-12-26646Thunderbirds-Wolf Pack-
115 - 2018-12-28659Wolf Pack-Devils-
116 - 2018-12-29670Checkers-Wolf Pack-
122 - 2019-01-04687Wolf Pack-Thunderbirds-
123 - 2019-01-05701Americans-Wolf Pack-
126 - 2019-01-08712Sound Tigers-Wolf Pack-
129 - 2019-01-11726Crunch-Wolf Pack-
130 - 2019-01-12745Wolf Pack-Phantoms-
131 - 2019-01-13751Wolf Pack-Phantoms-
134 - 2019-01-16763Marlies-Wolf Pack-
137 - 2019-01-19780Wolf Pack-Sound Tigers-
138 - 2019-01-20793Penguins-Wolf Pack-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25824Thunderbirds-Wolf Pack-
144 - 2019-01-26830Bruins-Wolf Pack-
145 - 2019-01-27842Wolf Pack-Bruins-
148 - 2019-01-30851Bears-Wolf Pack-
150 - 2019-02-01862Wolf Pack-Thunderbirds-
151 - 2019-02-02876Penguins-Wolf Pack-
157 - 2019-02-08903Wolf Pack-Penguins-
158 - 2019-02-09914Wolf Pack-Thunderbirds-
159 - 2019-02-10923Bears-Wolf Pack-
162 - 2019-02-13936Devils-Wolf Pack-
164 - 2019-02-15943Wolf Pack-Crunch-
165 - 2019-02-16957Wolf Pack-Comets-
172 - 2019-02-23995Wolf Pack-Checkers-
173 - 2019-02-241008Wolf Pack-Checkers-
178 - 2019-03-011033Checkers-Wolf Pack-
179 - 2019-03-021042Senators-Wolf Pack-
183 - 2019-03-061065Wolf Pack-Thunderbirds-
186 - 2019-03-091088Comets-Wolf Pack-
187 - 2019-03-101098Devils-Wolf Pack-
192 - 2019-03-151122Bears-Wolf Pack-
193 - 2019-03-161133Wolf Pack-Phantoms-
194 - 2019-03-171146Wolf Pack-Bears-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
256,963$ 31,000$ 34,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,324$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 19,747$ 3,574,207$




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
1350500000926-1730300000718-112020000028-609182700513088362032020882477122418.18%19478.95%02710825.00%2716516.36%118013.75%5936187395317
Total Saison Régulière50500000926-1730300000718-112020000028-609182700513088362032020882477122418.18%19478.95%02710825.00%2716516.36%118013.75%5936187395317