Wolf Pack

GP: 27 | W: 6 | L: 20 | OTL: 1 | P: 13
GF: 61 | GA: 114 | PP%: 20.45% | PK%: 78.99%
DG: Sébastien Lessard | Morale : 38 | Moyenne d'Équipe : 54
Prochain matchs #402 vs Checkers
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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
1Tyler GaudetX100.00555555555555555550555555555050150530
2Vincent LoVerdeX100.00605560617265676025606055555353124570
3Adam PardyX100.00555555605555585525555555556970150550
4Simon Bourque (R)X100.00555555605555685525555555555555151540
5Christian Jaros (R)X100.00555555605555585525555555555555150540
6Zac LeslieX100.00555555605555555525555555555555150540
7Viktor LoovX100.00575555605555615525555555555353151540
Rayé
1Kenney MorrisonX100.00555555605555595525555555555353139540
MOYENNE D'ÉQUIPE100.0056555660575660562856565555555614654
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. Motte100.0055555555555555555555556060149540
Rayé
MOYENNE D'ÉQUIPE100.005555555555555555555555606014954
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
1Adam PardyWolf Pack (NYR)D168715-12100282447132617.02%1934021.2884123263000047000.00%000000.8800000120
2Simon BourqueWolf Pack (NYR)D1651015-1233545325111409.80%1834021.2758133866000043000.00%000000.8801001111
3Christian JarosWolf Pack (NYR)D1610313-7320422863203215.87%2033420.8852744620000362133.33%300010.7800000212
4Zac LeslieWolf Pack (NYR)D16369-414019183210229.38%1330919.3212311420000230025.00%1200000.5800000002
5Viktor LoovWolf Pack (NYR)D16178-317529243213153.12%1030719.2311215410001310037.50%800000.5200001000
6Tyler GaudetWolf Pack (NYR)C16426-3240283838123210.53%325716.070115310001570053.16%38000010.4701000110
7Kenney MorrisonWolf Pack (NYR)D9235-11401913306286.67%918420.521232338000125000.00%000000.5400000000
Stats d'équipe Total ou en Moyenne105333871-42144102101772938519511.26%92207319.7521204116834600032662151.86%40300020.6802002555
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 WilliamsNew York Rangers50500.8763.4129900171370110.000050000
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 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$300,000$
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
Vincent LoVerdeWolf Pack (NYR)D271989-04-13No205 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
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
924.11196 Lbs6 ft12.67366,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zac LeslieTyler GaudetViktor Loov40122
230122
3Tyler GaudetChristian Jaros20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy40122
2Christian Jaros30122
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
2Christian Jaros40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler Gaudet60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy60122
2Christian Jaros40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Gaudet60122Simon BourqueAdam Pardy60122
240122Christian Jaros40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler Gaudet60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Simon BourqueAdam Pardy60122
2Christian Jaros40122
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
1Americans1010000012-11010000012-10000000000000.00011200271915011245178215429917184125.00%6183.33%023871133.47%27989431.21%12141429.23%493328825205306131
2Bears2020000019-8000000000002020000019-800.00011210271915038245178215443727391317.69%9366.67%023871133.47%27989431.21%12141429.23%493328825205306131
3Bruins413000001017-731200000812-41010000025-320.25010192901271915083245178215413541245720525.00%11281.82%023871133.47%27989431.21%12141429.23%493328825205306131
4Checkers3210000016972110000011651100000053240.66716274300271915013524517821549021267913646.15%13469.23%023871133.47%27989431.21%12141429.23%493328825205306131
5Comets20100001510-51000000145-11010000015-410.2505712002719150332451782154862428466350.00%11281.82%023871133.47%27989431.21%12141429.23%493328825205306131
6Devils1010000003-3000000000001010000003-300.0000000027191502024517821544326136700.00%40100.00%023871133.47%27989431.21%12141429.23%493328825205306131
7Marlies11000000541000000000001100000054121.0005101500271915052245178215445121335200.00%30100.00%023871133.47%27989431.21%12141429.23%493328825205306131
8Penguins30300000410-61010000014-32020000036-300.00046100027191506724517821548215405223313.04%18477.78%023871133.47%27989431.21%12141429.23%493328825205306131
9Phantoms1010000016-51010000016-50000000000000.00012300271915015245178215459101217300.00%5180.00%023871133.47%27989431.21%12141429.23%493328825205306131
10Rocket20200000315-121010000016-51010000029-700.0003580027191503124517821541114520424125.00%9277.78%023871133.47%27989431.21%12141429.23%493328825205306131
11Senators11000000312000000000001100000031221.00036900271915015245178215423928400.00%10100.00%023871133.47%27989431.21%12141429.23%493328825205306131
12Sound Tigers51400000921-1231200000412-82020000059-420.20091524102719150111245178215415037567929620.69%23482.61%023871133.47%27989431.21%12141429.23%493328825205306131
13Thunderbirds1010000037-4000000000001010000037-400.000358002719150282451782154763617384125.00%6266.67%023871133.47%27989431.21%12141429.23%493328825205306131
Total276200000161114-531339000013153-2214311000003061-31130.2416110416521271915063924517821549722922955161322720.45%1192578.99%023871133.47%27989431.21%12141429.23%493328825205306131
_Since Last GM Reset276200000161114-531339000013153-2214311000003061-31130.2416110416521271915063924517821549722922955161322720.45%1192578.99%023871133.47%27989431.21%12141429.23%493328825205306131
_Vs Conference17314000002867-39826000001434-20918000001433-1960.1762849772127191503492451782154535145174258991515.15%711480.28%023871133.47%27989431.21%12141429.23%493328825205306131
_Vs Division1016000002546-21513000001020-10503000001526-1120.10025467101271915022024517821544191529319838821.05%36780.56%023871133.47%27989431.21%12141429.23%493328825205306131

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2713W16110416563997229229551621
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
27620000161114
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
133900013153
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1431100003061
Derniers 10 Matchs
WLOTWOTL SOWSOL
360001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1322720.45%1192578.99%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
24517821542719150
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
23871133.47%27989431.21%12141429.23%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
493328825205306131


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 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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,421,992$ 33,000$ 28,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 11,696$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 122 19,758$ 2,410,476$




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
13276200000161114-531339000013153-2214311000003061-31136110416521271915063924517821549722922955161322720.45%1192578.99%023871133.47%27989431.21%12141429.23%493328825205306131
Total Saison Régulière276200000161114-531339000013153-2214311000003061-31136110416521271915063924517821549722922955161322720.45%1192578.99%023871133.47%27989431.21%12141429.23%493328825205306131