Flames

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 21 | GA: 22 | PP%: 11.11% | PK%: 91.43%
DG: Sebastien Tessier | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #94 vs Admirals
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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
1Adam BrooksX100.00686381636365666278596261594444635000
2Alex ChiassonXX100.00734481787864867825657059367375704700
3Cal ClutterbuckX100.00994783757665735838605886458183684500
4Brendan PerliniXX100.00674391847957716525585661756464625000
5Curtis LazarXXX100.00835991727561745884616483256566694800
6Jacob de La RoseXX100.00894693777957726062625678256465655000
7Emil Bemstrom (R)X100.00734295826562696834647154255050685000
8Jaret Anderson-Dolan (R)XX100.00726783796763645974595462514444615000
9Nic PetanXXX100.00634191796258576932655566255959635000
10Riley Tufte (R)X100.00858878618862655150514666444444565000
11Carson SoucyX100.00784589647967785925505478255960635000
12Greg PaterynX100.00784590718267685625514784256465625000
13Mike MathesonX100.00694391857275846025545674256364664800
14Parker Wotherspoon (R)X100.00636264636276835225494156394444535000
15Chris BigrasX100.00757183637160635425494165395757555000
16Madison BoweyX100.00754481777374696225604875255757635000
Rayé
MOYENNE D'ÉQUIPE100.0076538573736571614157556937585963490
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
1Carter Hutton100.0065737276725857656365716465655000
2Thatcher Demko100.0066585681656668677566754747664100
Rayé
1Filip Gustavsson100.0050577172475250555050304444515000
MOYENNE D'ÉQUIPE100.006063667661595862636059525261470
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton77768986514890CAN3731,750,000$


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'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
1Nic PetanFlames (CGY)C/LW/RW8437080214146628.57%013516.951121180000140044.44%6300001.0300000100
2Greg PaterynFlames (CGY)D82463140128102620.00%416520.64101729000024000.00%100000.7300000020
3Alex ChiassonFlames (CGY)LW/RW6145100321001010.00%010617.67011017000031029.41%1700000.9401000000
4Jacob de La RoseFlames (CGY)C/LW61344801119741314.29%212120.190111140000160056.91%12300000.6601000010
5Emil BemstromFlames (CGY)C6314000510141721.43%010116.91000211000000038.36%7300000.7900000100
6Adam BrooksFlames (CGY)C8213-120812132615.38%113316.73000424000071055.17%5800000.4500000100
7Brendan PerliniFlames (CGY)LW/RW61230002690511.11%010317.21000160000100028.57%1400000.5801000000
8Curtis LazarFlames (CGY)C/LW/RW21231002241425.00%13718.6211236000020056.00%2500001.6101000001
9Madison BoweyFlames (CGY)D8033-3401394260.00%817121.44022432000027000.00%000000.3500000000
10Cal ClutterbuckFlames (CGY)RW22023552493322.22%03919.9800024000030180.00%500001.0001010010
11Colin WhiteFlamesC/RW40220003137030.00%08020.00000212000030057.33%7500000.5000000001
12Owen TippettFlamesLW/RW6112-113592115119.09%112721.291014240000240044.44%900000.3111001000
13Mike MathesonFlames (CGY)D2022020032110.00%24824.330112500002000.00%000000.8200000000
14Parker WotherspoonFlames (CGY)D8022160620120.00%413717.16011013000019000.00%000000.2900000000
15Chris BigrasFlames (CGY)D611222155131133.33%19115.320001400002000.00%000000.4400001000
16Jaret Anderson-DolanFlames (CGY)C/LW6022-22010114360.00%210517.59000030000130069.23%2600000.3800000000
17Riley TufteFlames (CGY)LW81011209640325.00%08110.240001130000110062.50%800000.2400000000
18Carson SoucyFlames (CGY)D60002801624230.00%1013722.85000315000018000.00%000000.0000000000
19Haydn FleuryFlamesD6000-600381230.00%611919.86000120000022000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne11220335359515121134130369915.38%42204418.2548123927900002312151.31%49700000.5216012342
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
1Thatcher DemkoFlames (CGY)52200.8542.852530012820001.000343000
2Carter HuttonFlames (CGY)51210.8782.29236019740000.750444001
Stats d'équipe Total ou en Moyenne103410.8652.5848901211560000.857787001


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 RestantSalaire MoyenSalaire Moyen 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
Adam BrooksFlames (CGY)C241996-05-06No174 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Alex ChiassonFlames (CGY)LW/RW291990-10-01No208 Lbs6 ft4NoNoNo3Pro & Farm2,275,000$2,275,000$2,150,000$2,150,000$0$0$No2,150,000$2,150,000$Lien
Brendan PerliniFlames (CGY)LW/RW241996-04-27No212 Lbs6 ft3NoNoNo1Pro & Farm1,999,999$1,999,999$1,999,999$1,999,999$0$0$NoLien
Cal ClutterbuckFlames (CGY)RW321987-11-18No216 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Carson SoucyFlames (CGY)D251994-07-27No208 Lbs6 ft5NoNoNo3Pro & Farm775,000$775,000$750,000$750,000$0$0$No750,000$750,000$Lien
Carter HuttonFlames (CGY)G341985-12-18No202 Lbs6 ft1NoNoNo1Pro & Farm2,750,000$2,750,000$2,750,000$2,750,000$0$0$NoLien
Chris BigrasFlames (CGY)D251995-02-22No190 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$Lien
Curtis LazarFlames (CGY)C/LW/RW251995-02-02No209 Lbs6 ft0NoNoNo4Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$700,000$Lien
Emil BemstromFlames (CGY)C211999-06-01Yes181 Lbs5 ft10NoNoNo3Pro & Farm2,133,333$2,133,333$1,633,333$1,633,333$0$0$No1,633,333$1,633,333$Lien
Filip GustavssonFlames (CGY)G221998-06-07No184 Lbs6 ft2NoNoNo2Pro & Farm910,833$910,833$450,000$450,000$0$0$No910,833$Lien
Greg PaterynFlames (CGY)D301990-06-20No224 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien
Jacob de La RoseFlames (CGY)C/LW251995-05-19No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Jaret Anderson-DolanFlames (CGY)C/LW201999-09-11Yes188 Lbs5 ft11NoNoNo3Pro & Farm913,333$913,333$913,333$913,333$0$0$No913,333$913,333$
Madison BoweyFlames (CGY)D251995-04-22No198 Lbs6 ft2NoNoNo1Pro & Farm902,500$902,500$902,500$902,500$0$0$NoLien
Mike MathesonFlames (CGY)D261994-02-27No192 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$1,750,000$1,000,000$1,000,000$0$0$NoLien
Nic PetanFlames (CGY)C/LW/RW251995-03-21No179 Lbs5 ft9NoNoNo1Pro & Farm500,000$500,000$500,000$500,000$0$0$NoLien
Parker WotherspoonFlames (CGY)D221997-08-24Yes168 Lbs6 ft0NoNoNo3Pro & Farm854,722$854,722$854,722$854,722$0$0$No854,722$854,722$
Riley TufteFlames (CGY)LW221998-04-09Yes230 Lbs6 ft6NoNoNo3Pro & Farm995,833$995,833$995,833$995,833$0$0$No995,833$995,833$
Thatcher DemkoFlames (CGY)G241995-12-07No192 Lbs6 ft4NoNoNo3Pro & Farm1,050,000$1,050,000$1,050,000$1,050,000$0$0$No1,050,000$1,050,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1925.26198 Lbs6 ft12.111,193,976$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex ChiassonJacob de La RoseCal Clutterbuck35122
2Brendan PerliniCurtis LazarNic Petan30122
3Jaret Anderson-DolanEmil BemstromAdam Brooks25122
4Riley TufteAdam BrooksAlex Chiasson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike MathesonCarson Soucy35122
2Greg PaterynMadison Bowey30122
3Chris BigrasParker Wotherspoon25122
4Mike MathesonCarson Soucy10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alex ChiassonJacob de La RoseCal Clutterbuck60122
2Brendan PerliniCurtis LazarNic Petan40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike MathesonCarson Soucy60122
2Greg PaterynMadison Bowey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex ChiassonCal Clutterbuck60122
2Jacob de La RoseCurtis Lazar40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike MathesonCarson Soucy60122
2Greg PaterynMadison Bowey40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alex Chiasson60122Mike MathesonCarson Soucy60122
2Cal Clutterbuck40122Greg PaterynMadison Bowey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex ChiassonCal Clutterbuck60122
2Jacob de La RoseCurtis Lazar40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mike MathesonCarson Soucy60122
2Greg PaterynMadison Bowey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex ChiassonJacob de La RoseCal ClutterbuckMike MathesonCarson Soucy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alex ChiassonJacob de La RoseCal ClutterbuckMike MathesonCarson Soucy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Emil Bemstrom, Jaret Anderson-Dolan, Riley TufteEmil Bemstrom, Jaret Anderson-DolanRiley Tufte
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris Bigras, Parker Wotherspoon, Greg PaterynChris BigrasParker Wotherspoon, Greg Pateryn
Tirs de Pénalité
Alex Chiasson, Cal Clutterbuck, Jacob de La Rose, Curtis Lazar, Emil Bemstrom
Gardien
#1 : Carter Hutton, #2 : Thatcher Demko


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
1Admirals1010000035-21010000035-20000000000000.0003470088411150414881482311300.00%7185.71%010320051.50%10520351.72%5912646.83%1891311985910149
2Condors1010000023-1000000000001010000023-100.00024600884118504148818510205120.00%5180.00%010320051.50%10520351.72%5912646.83%1891311985910149
3Monarchs210000101037100000104311100000060641.0001016260188415550414883715283212325.00%30100.00%010320051.50%10520351.72%5912646.83%1891311985910149
4Moose2020000028-61010000013-21010000015-400.000235008841275041488471020351300.00%10190.00%010320051.50%10520351.72%5912646.83%1891311985910149
5Sharks210000014311000000112-11100000031230.750471100884130504148840112236300.00%100100.00%010320051.50%10520351.72%5912646.83%1891311985910149
Total824000112122-140200011913-442200000129370.43821345501884114150414881564910313436411.11%35391.43%010320051.50%10520351.72%5912646.83%1891311985910149
_Since Last GM Reset824000112122-140200011913-442200000129370.43821345501884114150414881564910313436411.11%35391.43%010320051.50%10520351.72%5912646.83%1891311985910149

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
87SOL12134551411564910313401
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82400112122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020011913
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4220000129
Derniers 10 Matchs
WLOTWOTL SOWSOL
340001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
36411.11%35391.43%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
50414888841
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
10320051.50%10520351.72%5912646.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1891311985910149


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
1 - 2020-09-036Moose3Flames1LSommaire du Match
2 - 2020-09-0412Flames1Moose5LSommaire du Match
4 - 2020-09-0632Monarchs3Flames4WXXSommaire du Match
5 - 2020-09-0733Flames3Sharks1WSommaire du Match
7 - 2020-09-0945Flames2Condors3LSommaire du Match
8 - 2020-09-1061Admirals5Flames3LSommaire du Match
9 - 2020-09-1165Flames6Monarchs0WSommaire du Match
10 - 2020-09-1280Sharks2Flames1LXXSommaire du Match
12 - 2020-09-1494Flames-Admirals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15101Condors-Flames-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,268,554$ 2,034,971$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
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LigueDomicileVisiteur
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