Wolf Pack

GP: 51 | W: 11 | L: 38 | OTL: 2 | P: 24
GF: 109 | GA: 213 | PP%: 18.25% | PK%: 79.65%
DG: Sébastien Lessard | Morale : 27 | Moyenne d'Équipe : 55
Prochain matchs #763 vs Marlies
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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 SP
1Luke Kunin (R)XX100.00565555555555556864606064555050165570
2Michael BuntingX100.00605569636963695550555556555050134560
3Tyler GaudetX99.00555555555555555550555555555050145530
4Adam PardyX100.00555555605555585525555555556970145550
5Kenney MorrisonX100.00555555605555595525555555555353141540
6Simon Bourque (R)X100.00555555605555685525555555555555142540
7Zac LeslieX100.00555555605555555525555555555555145540
8Viktor LoovX100.00575555605555615525555555555353148540
Rayé
1Christian Jaros (R)X94.04555555605555585525555555555555136540
MOYENNE D'ÉQUIPE99.2256555759575660563556565655545514555
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
1Stephon Williams (R)100.0056707077626262626562555961138620
2C.J. Motte100.0055555555555555555555556060155540
Rayé
MOYENNE D'ÉQUIPE100.005663636659595959605955606114758
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
1Simon BourqueWolf Pack (NYR)D4092635-218010987512239887.38%4683920.998152380148011097210.00%000000.8301001232
2Adam PardyWolf Pack (NYR)D40171532-224008367102287516.67%5081520.381392269141000097010.00%000000.7900000241
3Christian JarosWolf Pack (NYR)D38161228-24821011067130477712.31%5478720.739514881370002832133.33%300010.7100001244
4Viktor LoovWolf Pack (NYR)D4081119-185915715175253710.67%3873518.3933627911013750035.00%2000000.5200003100
5Tyler GaudetWolf Pack (NYR)C409918-642072949932809.09%1565316.33145137911251420049.74%96500010.5502000311
6Zac LeslieWolf Pack (NYR)D4071017-17320625867236110.45%4074618.65246241010110541033.33%2100000.4600000004
7Kenney MorrisonWolf Pack (NYR)D9235-11401913306286.67%918420.521232338000125000.00%000000.5400000000
Stats d'équipe Total ou en Moyenne2476886154-1093493551542562520044610.88%252476119.28374279324739235115765349.06%100900020.6503005101212
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
1C.J. MotteWolf Pack (NYR)31110.9182.60185008980000.667338000
2Stephon WilliamsWolf Pack (NYR)50500.8763.4129900171370110.000050000
Stats d'équipe Total ou en Moyenne81610.8943.1048400252350110.667388000


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 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$0$No
Christian Jaros (Sur la Masse Salariale)Wolf Pack (NYR)D201996-04-02Yes201 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$Yes
Kenney MorrisonWolf Pack (NYR)D241992-02-12No210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Luke KuninWolf Pack (NYR)C/RW191997-12-04Yes192 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No
Michael BuntingWolf Pack (NYR)LW211995-09-17No187 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm667,000$0$0$No
Simon BourqueWolf Pack (NYR)D201997-01-12Yes183 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Stephon WilliamsWolf Pack (NYR)G231993-04-28Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Tyler GaudetWolf Pack (NYR)C231993-04-03No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1123.00194 Lbs6 ft12.45424,273$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zac LeslieTyler GaudetViktor Loov40122
230122
3Tyler Gaudet20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy40122
230122
3Zac LeslieViktor Loov20122
4Simon BourqueAdam Pardy10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zac LeslieTyler GaudetViktor Loov60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler Gaudet60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Gaudet60122Simon BourqueAdam Pardy60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler Gaudet60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zac LeslieTyler GaudetViktor LoovSimon BourqueAdam Pardy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zac LeslieTyler GaudetViktor LoovSimon BourqueAdam Pardy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Gaudet, , Tyler Gaudet,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zac Leslie, Viktor Loov, Simon BourqueZac LeslieViktor Loov, Simon Bourque
Tirs de Pénalité
Tyler Gaudet, , , ,
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
1Americans40400000415-112020000036-32020000019-800.0004711003932363474213343901811943576715320.00%26484.62%0465131235.44%531159633.27%26379333.17%10116941483380580258
2Bears2020000019-8000000000002020000019-800.000112103932363384213343901843727391317.69%9366.67%0465131235.44%531159633.27%26379333.17%10116941483380580258
3Bruins817000001635-19413000001117-640400000518-1320.12516284401393236316142133439018276676912640820.00%30486.67%0465131235.44%531159633.27%26379333.17%10116941483380580258
4Checkers531010002414103210000015872100100096380.800243963003932363193421334390181523238134201050.00%19668.42%0465131235.44%531159633.27%26379333.17%10116941483380580258
5Comets20100001510-51000000145-11010000015-410.25057120039323633342133439018862428466350.00%11281.82%0465131235.44%531159633.27%26379333.17%10116941483380580258
6Crunch10000010431100000104310000000000021.000459003932363324213343901835108207228.57%4175.00%1465131235.44%531159633.27%26379333.17%10116941483380580258
7Devils2020000006-6000000000002020000006-600.0000000039323634142133439018773321241400.00%8187.50%0465131235.44%531159633.27%26379333.17%10116941483380580258
8Marlies11000000541000000000001100000054121.00051015003932363524213343901845121335200.00%30100.00%0465131235.44%531159633.27%26379333.17%10116941483380580258
9Penguins30300000410-61010000014-32020000036-300.000461000393236367421334390188215405223313.04%18477.78%0465131235.44%531159633.27%26379333.17%10116941483380580258
10Phantoms50500000424-2030300000212-1020200000212-1000.000471100393236368421334390181745275743425.88%26676.92%0465131235.44%531159633.27%26379333.17%10116941483380580258
11Rocket20200000315-121010000016-51010000029-700.00035800393236331421334390181114520424125.00%9277.78%0465131235.44%531159633.27%26379333.17%10116941483380580258
12Senators11000000312000000000001100000031221.000369003932363154213343901823928400.00%10100.00%0465131235.44%531159633.27%26379333.17%10116941483380580258
13Sound Tigers927000001840-2251400000922-1341300000918-940.2221828462039323631874213343901827567100150481020.83%44979.55%1465131235.44%531159633.27%26379333.17%10116941483380580258
14Thunderbirds614001001827-9412001001214-220200000613-730.250183149003932363192421334390182581006915933515.15%23578.26%1465131235.44%531159633.27%26379333.17%10116941483380580258
Total5193801111109213-10425517001116297-35264210100047116-69240.23510918028931393236311574213343901817565165679762634818.25%2314779.65%3465131235.44%531159633.27%26379333.17%10116941483380580258
_Since Last GM Reset5193801111109213-10425517001116297-35264210100047116-69240.23510918028931393236311574213343901817565165679762634818.25%2314779.65%3465131235.44%531159633.27%26379333.17%10116941483380580258
_Vs Conference314260001050128-7814211000102758-3117215000002370-47100.1615081131313932363609421334390189852603424931832614.21%1402880.00%2465131235.44%531159633.27%26379333.17%10116941483380580258
_Vs Division232140000053100-471217000003146-151117000002254-3240.0875392145013932363530421334390188672862384571051918.10%961683.33%2465131235.44%531159633.27%26379333.17%10116941483380580258

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5124L21091802891157175651656797631
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
519381111109213
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2551701116297
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26421100047116
Derniers 10 Matchs
WLOTWOTL SOWSOL
180010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2634818.25%2314779.65%3
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
421334390183932363
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
465131235.44%531159633.27%26379333.17%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10116941483380580258


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 Pack2Rocket9LSommaire du Match
17 - 2018-09-2171Wolf Pack3Senators1WSommaire du Match
18 - 2018-09-2283Wolf Pack5Marlies4WSommaire du Match
22 - 2018-09-26103Phantoms6Wolf Pack1LSommaire du Match
25 - 2018-09-29126Sound Tigers6Wolf Pack0LSommaire du Match
26 - 2018-09-30132Wolf Pack3Thunderbirds7LSommaire du Match
31 - 2018-10-05143Wolf Pack2Penguins4LSommaire du Match
32 - 2018-10-06161Wolf Pack1Penguins2LSommaire du Match
33 - 2018-10-07168Wolf Pack1Bears3LSommaire du Match
38 - 2018-10-12181Wolf Pack1Comets5LSommaire du Match
39 - 2018-10-13193Penguins4Wolf Pack1LSommaire du Match
43 - 2018-10-17215Sound Tigers2Wolf Pack3WSommaire du Match
46 - 2018-10-20237Comets5Wolf Pack4LXXSommaire du Match
47 - 2018-10-21249Americans2Wolf Pack1LSommaire du Match
50 - 2018-10-24257Bruins0Wolf Pack2WSommaire du Match
52 - 2018-10-26264Wolf Pack3Sound Tigers5LSommaire du Match
53 - 2018-10-27285Sound Tigers4Wolf Pack1LSommaire du Match
60 - 2018-11-03321Checkers3Wolf Pack2LSommaire du Match
64 - 2018-11-07340Wolf Pack2Sound Tigers4LSommaire du Match
66 - 2018-11-09355Checkers3Wolf Pack9WSommaire du Match
67 - 2018-11-10364Wolf Pack0Bears6LSommaire du Match
72 - 2018-11-15390Wolf Pack5Checkers3WSommaire du Match
74 - 2018-11-17402Wolf Pack4Checkers3WXSommaire du Match
78 - 2018-11-21424Bruins5Wolf Pack3LSommaire du Match
80 - 2018-11-23437Wolf Pack0Americans4LSommaire du Match
81 - 2018-11-24453Wolf Pack1Americans5LSommaire du Match
86 - 2018-11-29471Wolf Pack1Sound Tigers7LSommaire du Match
88 - 2018-12-01487Sound Tigers4Wolf Pack2LSommaire du Match
89 - 2018-12-02499Thunderbirds3Wolf Pack5WSommaire du Match
94 - 2018-12-07523Thunderbirds5Wolf Pack3LSommaire du Match
95 - 2018-12-08533Phantoms2Wolf Pack0LSommaire du Match
96 - 2018-12-09546Wolf Pack1Bruins3LSommaire du Match
101 - 2018-12-14565Wolf Pack1Bruins5LSommaire du Match
102 - 2018-12-15576Wolf Pack3Sound Tigers2WSommaire du Match
108 - 2018-12-21609Phantoms4Wolf Pack1LSommaire du Match
109 - 2018-12-22619Thunderbirds5Wolf Pack4LXSommaire du Match
110 - 2018-12-23634Wolf Pack1Bruins5LSommaire du Match
113 - 2018-12-26646Thunderbirds1Wolf Pack0LSommaire du Match
115 - 2018-12-28659Wolf Pack0Devils3LSommaire du Match
116 - 2018-12-29670Checkers2Wolf Pack4WSommaire du Match
122 - 2019-01-04687Wolf Pack3Thunderbirds6LSommaire du Match
123 - 2019-01-05701Americans4Wolf Pack2LSommaire du Match
126 - 2019-01-08712Sound Tigers6Wolf Pack3LSommaire du Match
129 - 2019-01-11726Crunch3Wolf Pack4WXXSommaire du Match
130 - 2019-01-12745Wolf Pack2Phantoms5LSommaire du Match
131 - 2019-01-13751Wolf Pack0Phantoms7LSommaire du Match
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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,588,910$ 46,670$ 41,170$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 22,905$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 63 19,828$ 1,249,164$




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
135193801111109213-10425517001116297-35264210100047116-692410918028931393236311574213343901817565165679762634818.25%2314779.65%3465131235.44%531159633.27%26379333.17%10116941483380580258
Total Saison Régulière5193801111109213-10425517001116297-35264210100047116-692410918028931393236311574213343901817565165679762634818.25%2314779.65%3465131235.44%531159633.27%26379333.17%10116941483380580258