Comets

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 26 | GA: 14 | PP%: 14.29% | PK%: 83.33%
DG: Francis Lagace | Morale : 53 | Moyenne d'Équipe : N/A
Prochain matchs #63 vs Americans
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
1Alexandre GrenierX99.0055555555555555555055555555757415400
2Andrew AgozzinoX99.0060557473676369615060606055737115400
3Justin Scott (R)X99.0073556962796969555055555555505015400
4Steven FogartyX99.0060556562797569605060606055505015400
5Kevin Lynch (R)X100.0056555555555655555055555555505015100
6Tobias LindbergX100.0056555555555555555055555555505015100
7Mitchell HeardX100.0059555962756954555055555855505015100
8Rod PelleyX100.0077556962756869555055555555646515100
9Tyler RandellX100.0059556264746864555055555955505015400
10Chris BourqueX99.0059556767615973595058585555737415400
11Mitch MorozX100.0074556963797362555055555555505015400
12Jan KostalekX100.0059555560555565552555555555535315400
13Fredrik ClaessonX100.0096557874797767702563617955747315100
14Mat ClarkX100.0055555560555563552555555555535315100
15William Wrenn (R)X100.0057555560555561552555555555535315400
16Philip SamuelssonX100.0055555560555566552555555555535315400
Rayé
MOYENNE D'ÉQUIPE99.696355626266636457425656585558571530
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
1Kasimir Kaskisuo100.007563577671717173797755706815100
2Jeff Glass100.007970728080707178889055696715100
Rayé
1Jared Coreau100.005680708965655977596855706914500
MOYENNE D'ÉQUIPE100.00707166827269677675785570681490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter50836377896452CAN5936,400,000$


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
1Andrew AgozzinoComets (Van)LW53691200824374178.11%111623.380005160110182066.67%10200001.5400000111
2Steven FogartyComets (Van)C55491201183272415.63%311122.37112517000010073.08%5200001.6100000100
3Justin ScottComets (Van)C5178340255238294.35%110921.820224180000120068.75%1600001.4700000110
4Mitch MorozComets (Van)LW5358800155326139.38%37114.28000000000111066.67%1200002.2400000103
5Alexandre GrenierComets (Van)RW5257695176111718.18%710921.94112518000013000.00%000001.2800000000
6Chris BourqueComets (Van)LW56063207128101021.43%310721.4910181710121710100.00%800011.1200000020
7William WrennComets (Van)D5145540116621016.67%19418.82000315000015000.00%000001.0600000000
8Tobias LindbergComets (Van)RW52246255541061020.00%07515.19011113000000057.45%4700001.0500001000
9Jan KostalekComets (Van)D5123410014783112.50%78617.2000000000110000.00%000000.7000000000
10Philip SamuelssonComets (Van)D512354012555120.00%49118.32000215000012000.00%000000.6600000000
11Tyler RandellComets (Van)RW5011-26046122120.00%1408.04000000000000100.00%200000.5000000000
Stats d'équipe Total ou en Moyenne55253863516610129772045413412.25%31101418.443583313211231134067.78%23900011.2400001444
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Alexandre GrenierComets (Van)RW251991-09-04No200 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew AgozzinoComets (Van)LW261991-01-02No187 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris BourqueComets (Van)LW301986-01-29No174 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Fredrik ClaessonComets (Van)D241992-11-24No209 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jan KostalekComets (Van)D211995-02-17No181 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Jared CoreauComets (Van)G251991-11-05No235 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jeff GlassComets (Van)G311985-11-18No206 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Justin ScottComets (Van)C211995-08-13Yes201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Kasimir KaskisuoComets (Van)G231993-10-02No201 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Kevin LynchComets (Van)C251991-04-23Yes205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Mat ClarkComets (Van)D261990-10-16No225 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Mitch MorozComets (Van)LW221994-05-02No214 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Mitchell HeardComets (Van)C241992-03-11No200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Philip SamuelssonComets (Van)D251991-07-25No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Rod PelleyComets (Van)C321984-08-31No200 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Steven FogartyComets (Van)C231993-04-19No212 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Tobias LindbergComets (Van)RW211995-07-22No201 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Tyler RandellComets (Van)RW251991-06-14No197 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
William WrennComets (Van)D251991-03-16Yes209 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.95203 Lbs6 ft11.79323,684$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris BourqueAndrew AgozzinoTobias Lindberg40122
2Justin ScottSteven Fogarty30122
3Mitch MorozTobias LindbergAndrew Agozzino20122
4Tyler RandellSteven FogartyChris Bourque10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre Grenier40122
2William WrennPhilip Samuelsson30122
3Jan Kostalek20122
4Alexandre Grenier10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris BourqueAndrew AgozzinoTobias Lindberg60122
2Justin ScottSteven Fogarty40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre Grenier60122
2William WrennPhilip Samuelsson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew AgozzinoChris Bourque60122
2Justin Scott40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre Grenier60122
2William WrennPhilip Samuelsson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Agozzino60122Alexandre Grenier60122
2Chris Bourque40122William WrennPhilip Samuelsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andrew AgozzinoChris Bourque60122
2Justin Scott40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre Grenier60122
2William WrennPhilip Samuelsson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris BourqueAndrew AgozzinoTobias LindbergAlexandre Grenier
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris BourqueAndrew AgozzinoTobias LindbergAlexandre Grenier
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Mitch Moroz, Mitch Moroz
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Jan Kostalek, William WrennJan Kostalek, William Wrenn
Tirs de Pénalité
Andrew Agozzino, Chris Bourque, Justin Scott, , Tobias Lindberg
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
1Checkers11000000725110000007250000000000021.0007121900107905488686102782330300.00%30100.00%010216960.36%7111362.83%508360.24%15812187265432
2Marlies33000000187111100000063322000000124861.000183149001079013988686107320337814214.29%15380.00%110216960.36%7111362.83%508360.24%15812187265432
3Senators1010000015-41010000015-40000000000000.000123001079024886861037612234125.00%6183.33%010216960.36%7111362.83%508360.24%15812187265432
Total54100000261412321000001410422000000124880.80026457100107902178868610137346813121314.29%24483.33%110216960.36%7111362.83%508360.24%15812187265432
_Since Last GM Reset54100000261412321000001410422000000124880.80026457100107902178868610137346813121314.29%24483.33%110216960.36%7111362.83%508360.24%15812187265432
_Vs Conference440000002591622000000135822000000124881.00025436800107901938868610100285610817211.76%18383.33%110216960.36%7111362.83%508360.24%15812187265432

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
58W3264571217137346813100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
54100002614
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001410
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2200000124
Derniers 10 Matchs
WLOTWOTL SOWSOL
410000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21314.29%24483.33%1
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
886861010790
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
10216960.36%7111362.83%508360.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
15812187265432


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 - 2018-09-071Marlies3Comets6WSommaire du Match
4 - 2018-09-0812Senators5Comets1LSommaire du Match
10 - 2018-09-1433Checkers2Comets7WSommaire du Match
11 - 2018-09-1545Comets6Marlies1WSommaire du Match
12 - 2018-09-1660Comets6Marlies3WSommaire du Match
15 - 2018-09-1963Americans-Comets-
17 - 2018-09-2172Monsters-Comets-
18 - 2018-09-2285Comets-Crunch-
22 - 2018-09-26104Checkers-Comets-
24 - 2018-09-28111Comets-Americans-
31 - 2018-10-05147Comets-Rocket-
32 - 2018-10-06153Comets-Rocket-
36 - 2018-10-10176Rocket-Comets-
38 - 2018-10-12181Wolf Pack-Comets-
39 - 2018-10-13199Comets-Devils-
43 - 2018-10-17218Comets-Senators-
45 - 2018-10-19224Crunch-Comets-
46 - 2018-10-20237Comets-Wolf Pack-
50 - 2018-10-24259Rocket-Comets-
52 - 2018-10-26270Comets-Americans-
53 - 2018-10-27279Senators-Comets-
57 - 2018-10-31304Comets-Devils-
59 - 2018-11-02309Comets-Senators-
60 - 2018-11-03319Comets-Rocket-
64 - 2018-11-07344Comets-Americans-
66 - 2018-11-09349Thunderbirds-Comets-
67 - 2018-11-10370Comets-Devils-
71 - 2018-11-14383Bruins-Comets-
73 - 2018-11-16391Devils-Comets-
75 - 2018-11-18415Comets-Checkers-
77 - 2018-11-20423Comets-Checkers-
80 - 2018-11-23440Comets-Thunderbirds-
81 - 2018-11-24458Devils-Comets-
86 - 2018-11-29472Devils-Comets-
87 - 2018-11-30476Comets-Crunch-
88 - 2018-12-01490Americans-Comets-
92 - 2018-12-05511Crunch-Comets-
95 - 2018-12-08531Comets-Monsters-
96 - 2018-12-09545Comets-Monsters-
99 - 2018-12-12552Comets-Marlies-
101 - 2018-12-14562Sound Tigers-Comets-
102 - 2018-12-15577Crunch-Comets-
106 - 2018-12-19596Crunch-Comets-
108 - 2018-12-21606Devils-Comets-
109 - 2018-12-22621Senators-Comets-
115 - 2018-12-28661Comets-Americans-
122 - 2019-01-04685Comets-Crunch-
123 - 2019-01-05704Comets-Thunderbirds-
129 - 2019-01-11723Phantoms-Comets-
130 - 2019-01-12740Americans-Comets-
131 - 2019-01-13748Comets-Sound Tigers-
134 - 2019-01-16764Rocket-Comets-
137 - 2019-01-19787Comets-Penguins-
138 - 2019-01-20799Monsters-Comets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25818Americans-Comets-
144 - 2019-01-26835Comets-Devils-
148 - 2019-01-30852Americans-Comets-
150 - 2019-02-01857Bears-Comets-
151 - 2019-02-02875Comets-Phantoms-
155 - 2019-02-06890Crunch-Comets-
157 - 2019-02-08897Comets-Crunch-
158 - 2019-02-09910Comets-Rocket-
162 - 2019-02-13938Comets-Americans-
164 - 2019-02-15944Thunderbirds-Comets-
165 - 2019-02-16957Wolf Pack-Comets-
169 - 2019-02-20979Comets-Senators-
171 - 2019-02-22984Rocket-Comets-
172 - 2019-02-23997Comets-Crunch-
178 - 2019-03-011029Marlies-Comets-
179 - 2019-03-021043Comets-Crunch-
185 - 2019-03-081074Marlies-Comets-
186 - 2019-03-091088Comets-Wolf Pack-
187 - 2019-03-101101Comets-Bruins-
192 - 2019-03-151116Penguins-Comets-
193 - 2019-03-161129Comets-Bears-
194 - 2019-03-171147Crunch-Comets-



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
432,991$ 61,500$ 50,680$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 4,121$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 33,307$ 6,028,567$




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
13541000002614123210000014104220000001248826457100107902178868610137346813121314.29%24483.33%110216960.36%7111362.83%508360.24%15812187265432
Total Saison Régulière541000002614123210000014104220000001248826457100107902178868610137346813121314.29%24483.33%110216960.36%7111362.83%508360.24%15812187265432