Association Québécoise de Hockey Simulé - Supreme 

Supreme

GP: 11 | W: 9 | L: 2 | OTL: 0 | P: 18
GF: 51 | GA: 38 | PP%: 40.63% | PK%: 77.78%
DG: Kevin Kipps | Morale : 90 | Moyenne d'Équipe : 57
Prochain matchs #188 vs Scorpions
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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
1Elmer Soderblom (R)X99.00684585769960406130527070688170090630
2Nathan WalkerX98.00795483795351685284525373668976090630
3Ryan CarpenterX98.00824583776750405184475468659279090620
4Evgeny SvechnikovX99.00854583777654715530486166668674090620
5Danil Gushchin (R)X100.00504595814080404930445463508174090560
6Egor Korshkov (R)X100.00504595748150404530405055508774090540
7Tomas JurcoX98.00504595766950404530405055509178090540
8Kasper Bjorkqvist (R)X99.00504595766750404530405055508673090530
9Kristian Vesalainen (R)X100.00504595757650404530405055508471090530
10Taro HiroseX100.00504592804352404530405060508673090530
11Danil Yurtaykin (R)X100.00504595804750404530405055508673090520
12Vladimir Tkachev (R)X100.00504595804550404530405055508875090520
13Gabriel CarlssonX98.00504595776857404930485069508674090610
14Vladislav KolyachonokX98.00504595775957404530405074508169090590
15Petteri LindbohmX100.00504595766650404530405055509077090570
Rayé
1Artemi Kniazev (R)X83.92504595794850404530405055508269090550
2Joe HickettsX70.54504595784350404530405055508774090550
MOYENNE D'ÉQUIPE96.4757469278625443483643526154867409057
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
1Carey Price99.0070404092656565656565659482090590
2Mackenzie Skapski100.0070404085656565656565658382090580
Rayé
MOYENNE D'ÉQUIPE99.507040408965656565656565898209059
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon65656565798182USA453500,000$


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
1Danil GushchinSupreme (ATL)LW1111819620191533101633.33%619517.7520237000073055.17%29156001.9500000310
2Evgeny SvechnikovSupreme (ATL)RW116915140251149244012.24%920818.93235819000191038.46%13104011.4400000220
3Elmer SoderblomSupreme (ATL)LW116814320201254152711.11%1019517.810224140000150140.00%10123001.4300000111
4Vladislav KolyachonokSupreme (ATL)D81111264041818435.56%1620425.60123418000011000.00%0314001.1700000001
5Taro HiroseSupreme (ATL)C1065112001113287621.43%014714.7421339000021041.88%16055001.4900000101
6Gabriel CarlssonSupreme (ATL)D8358600816166818.75%721426.84011318000012100.00%0612000.7500000101
7Kristian VesalainenSupreme (ATL)C111783001215105610.00%317515.9100015000010036.69%13925000.9100000000
8Kasper BjorkqvistSupreme (ATL)RW1115642021817585.88%616715.2200009000230033.33%1551000.7200000002
9Nathan WalkerSupreme (ATL)LW7516-214021122981217.24%514921.35213511000180066.67%1593000.8000000100
10Danil YurtaykinSupreme (ATL)RW11235-22078193810.53%214713.4001102000030166.67%1233000.6800000001
11Vladimir TkachevSupreme (ATL)C1122462063121316.67%418717.0100000000001030.00%3057000.4300000001
12Pierre EngvallAtlanta SupraRW3033-4007493120.00%16220.9502214000060019.05%2152000.9500000000
13Petteri LindbohmSupreme (ATL)D11123-20061472114.29%1222520.47112215000014000.00%049000.2700000010
14Ryan CarpenterSupreme (ATL)C6213-640611152913.33%39916.5021349000011064.86%11142000.6100000000
15Egor KorshkovSupreme (ATL)LW100220009911460.00%518918.910000200000000.00%129000.2100000000
16Artemi KniazevSupreme (ATL)D80110204117620.00%1113516.990000700007000.00%134000.1500000000
17Joe HickettsSupreme (ATL)D4011-100352020.00%58320.960000600006000.00%011000.2400000000
18Tomas JurcoSupreme (ATL)LW1000100002110.00%02020.670000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne15347741212138018918533810617013.91%105280918.361215273816300041128245.06%5579490010.8600000958
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
1Mackenzie SkapskiSupreme (ATL)65100.8982.81363011716685100.000065101
2Carey PriceSupreme (ATL)54100.8764.20300002116992000.000056000
Stats d'équipe Total ou en Moyenne119200.8873.436640138335177100.00001111101


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
Artemi Kniazev (Sur la Masse Salariale)Supreme (ATL)D222001-01-04Yes178 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm900,000$0$0$Yes
Carey PriceSupreme (ATL)G361987-08-16No217 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$No
Danil GushchinSupreme (ATL)LW212002-02-06Yes165 Lbs5 ft8NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Danil YurtaykinSupreme (ATL)RW261997-07-01Yes165 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Egor KorshkovSupreme (ATL)LW271996-07-10Yes214 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Elmer SoderblomSupreme (ATL)LW222001-07-05Yes246 Lbs6 ft8NoNoNo4Avec RestrictionPro & Farm950,000$0$0$No
Evgeny SvechnikovSupreme (ATL)RW261996-10-31No208 Lbs6 ft3NoNoNo5Avec RestrictionPro & Farm750,000$0$0$No
Gabriel CarlssonSupreme (ATL)D261997-01-02No195 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm775,000$0$0$No
Joe Hicketts (Sur la Masse Salariale)Supreme (ATL)D271996-05-04No180 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm750,000$0$0$Yes
Kasper BjorkqvistSupreme (ATL)RW261997-07-10Yes198 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Kristian VesalainenSupreme (ATL)C241999-06-01Yes207 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Mackenzie SkapskiSupreme (ATL)G271995-10-12No191 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Nathan WalkerSupreme (ATL)LW291994-02-07No187 Lbs5 ft9NoNoNo4Sans RestrictionPro & Farm1,800,000$0$0$No
Petteri LindbohmSupreme (ATL)D301993-09-23No198 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Ryan CarpenterSupreme (ATL)C321991-01-18No198 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm950,000$0$0$No
Taro HiroseSupreme (ATL)C271996-06-30No162 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Tomas JurcoSupreme (ATL)LW301992-12-28No197 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Vladimir TkachevSupreme (ATL)C271995-10-05Yes165 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Vladislav KolyachonokSupreme (ATL)D222001-05-26No193 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1926.68193 Lbs6 ft12.79865,789$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nathan WalkerRyan CarpenterEvgeny Svechnikov35122
2Elmer SoderblomTaro HiroseKasper Bjorkqvist30122
3Danil GushchinKristian VesalainenDanil Yurtaykin25122
4Tomas JurcoVladimir TkachevNathan Walker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel CarlssonVladislav Kolyachonok35122
2Petteri LindbohmTomas Jurco30122
3Egor KorshkovVladimir Tkachev25122
4Gabriel CarlssonVladislav Kolyachonok10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nathan WalkerRyan CarpenterEvgeny Svechnikov55122
2Elmer SoderblomTaro HiroseKasper Bjorkqvist45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel CarlssonVladislav Kolyachonok55122
2Petteri LindbohmTomas Jurco45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nathan WalkerElmer Soderblom55122
2Evgeny SvechnikovRyan Carpenter45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel CarlssonVladislav Kolyachonok55122
2Petteri Lindbohm45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nathan Walker55122Gabriel CarlssonVladislav Kolyachonok55122
2Elmer Soderblom45122Petteri Lindbohm45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nathan WalkerElmer Soderblom55122
2Evgeny SvechnikovRyan Carpenter45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gabriel CarlssonVladislav Kolyachonok55122
2Petteri Lindbohm45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nathan WalkerRyan CarpenterEvgeny SvechnikovGabriel CarlssonVladislav Kolyachonok
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nathan WalkerRyan CarpenterEvgeny SvechnikovGabriel CarlssonVladislav Kolyachonok
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Danil Gushchin, Egor Korshkov, Kristian VesalainenDanil Gushchin, Egor KorshkovKristian Vesalainen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Petteri Lindbohm, Gabriel Carlsson, Vladislav KolyachonokPetteri LindbohmGabriel Carlsson, Vladislav Kolyachonok
Tirs de Pénalité
Nathan Walker, Elmer Soderblom, Evgeny Svechnikov, Ryan Carpenter, Danil Gushchin
Gardien
#1 : Carey Price, #2 : Mackenzie Skapski


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
1Barracudas11000000422110000004220000000000021.000461000818223367913314842042206233.33%10100.00%011424546.53%9520446.57%9119147.64%211116242104209100
2Chiwawa11000000523110000005230000000000021.0005914008182234279133148437170153266.67%000.00%011424546.53%9520446.57%9119147.64%211116242104209100
3Raptors11000000532000000000001100000053221.00058130081822329791331484221042022100.00%2150.00%011424546.53%9520446.57%9119147.64%211116242104209100
4Saguenéens21001000642110000005411000100010141.00061218018182236379133148444121442300.00%7185.71%011424546.53%9520446.57%9119147.64%211116242104209100
5Scorpions10001000651000000000001000100065121.00061117008182233179133148443136235240.00%3233.33%011424546.53%9520446.57%9119147.64%211116242104209100
6Snowbirds210010001495100010007611100000073441.0001423370081822367791331484803112526350.00%60100.00%011424546.53%9520446.57%9119147.64%211116242104209100
7Spartans2020000059-41010000035-21010000024-200.0005813008182235279133148450148293133.33%4250.00%011424546.53%9520446.57%9119147.64%211116242104209100
8Thugs11000000642110000006420000000000021.000691500818223447913314843998244125.00%40100.00%011424546.53%9520446.57%9119147.64%211116242104209100
Total11620300051381364101000302375210200021156180.81851861370181822336479133148433511054225321340.63%27677.78%011424546.53%9520446.57%9119147.64%211116242104209100
_Since Last GM Reset11620300051381364101000302375210200021156180.81851861370181822336479133148433511054225321340.63%27677.78%011424546.53%9520446.57%9119147.64%211116242104209100
_Vs Conference11620300051381364101000302375210200021156180.81851861370181822336479133148433511054225321340.63%27677.78%011424546.53%9520446.57%9119147.64%211116242104209100
_Vs Division10520300047361153101000262155210200021156160.80047801270181822332879133148431510652205261142.31%26676.92%011424546.53%9520446.57%9119147.64%211116242104209100

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1118W251861373643351105422501
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
116230005138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64110003023
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52120002115
Derniers 10 Matchs
WLOTWOTL SOWSOL
622000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
321340.63%27677.78%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
791331484818223
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
11424546.53%9520446.57%9119147.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
211116242104209100


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
2 - 2024-04-0716Snowbirds6Supreme7WXSommaire du Match
3 - 2024-04-0829Supreme7Snowbirds3WSommaire du Match
5 - 2024-04-1047Spartans5Supreme3LSommaire du Match
7 - 2024-04-1263Thugs4Supreme6WSommaire du Match
8 - 2024-04-1375Supreme6Scorpions5WXSommaire du Match
9 - 2024-04-1494Supreme1Saguenéens0WXSommaire du Match
11 - 2024-04-16109Chiwawa2Supreme5WSommaire du Match
12 - 2024-04-17125Barracudas2Supreme4WSommaire du Match
13 - 2024-04-18135Supreme2Spartans4LSommaire du Match
15 - 2024-04-20157Saguenéens4Supreme5WSommaire du Match
17 - 2024-04-22180Supreme5Raptors3WSommaire du Match
18 - 2024-04-23188Supreme-Scorpions-
19 - 2024-04-24198Supreme-Predateurs-
20 - 2024-04-25211Vipers-Supreme-
21 - 2024-04-26218Supreme-Thugs-
23 - 2024-04-28244Farmers-Supreme-
25 - 2024-04-30261Barracudas-Supreme-
27 - 2024-05-02280CoolFm-Supreme-
28 - 2024-05-03292Supreme-CoolFm-
30 - 2024-05-05311Marmots-Supreme-
31 - 2024-05-06331Supreme-Bayou-
32 - 2024-05-07343Wolves-Supreme-
34 - 2024-05-09363Supreme-Rockets-
35 - 2024-05-10372Hunters-Supreme-
37 - 2024-05-12392Supreme-Twins-
38 - 2024-05-13405Marlies-Supreme-
40 - 2024-05-15425Supreme-Farmers-
41 - 2024-05-16436Chiwawa-Supreme-
43 - 2024-05-18457Supreme-Raptors-
44 - 2024-05-19471Bandits-Supreme-
46 - 2024-05-21487Supreme-Spartans-
47 - 2024-05-22501Goons-Supreme-
48 - 2024-05-23519Supreme-Bandits-
49 - 2024-05-24524Supreme-Goons-
50 - 2024-05-25540Supreme-Warriors-
51 - 2024-05-26551Xpress-Supreme-
53 - 2024-05-28572Warriors-Supreme-
55 - 2024-05-30592Saguenéens-Supreme-
57 - 2024-06-01603Supreme-Xpress-
59 - 2024-06-03624Smirnoff Ice-Supreme-
60 - 2024-06-04639Supreme-Husky-
62 - 2024-06-06654Igloos-Supreme-
63 - 2024-06-07669Supreme-Marlies-
65 - 2024-06-09689Thugs-Supreme-
66 - 2024-06-10700Supreme-Grizzlies-
67 - 2024-06-11714Outlaws-Supreme-
68 - 2024-06-12728Supreme-Hunters-
70 - 2024-06-14746Grizzlies-Supreme-
72 - 2024-06-16768Supreme-Barracudas-
73 - 2024-06-17782Spartans-Supreme-
74 - 2024-06-18796Supreme-TigersCats-
75 - 2024-06-19813TigersCats-Supreme-
77 - 2024-06-21834Supreme-Vipers-
78 - 2024-06-22844Predateurs-Supreme-
79 - 2024-06-23862Supreme-Marmots-
80 - 2024-06-24873Rockets-Supreme-
83 - 2024-06-27900Vandals-Supreme-
84 - 2024-06-28908Supreme-Thugs-
86 - 2024-06-30929Supreme-Smirnoff Ice-
87 - 2024-07-01935Twins-Supreme-
89 - 2024-07-03961Supreme-Snowbirds-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04968Husky-Supreme-
92 - 2024-07-06993Bayou-Supreme-
93 - 2024-07-071012Supreme-Vandals-
95 - 2024-07-091024Scorpions-Supreme-
96 - 2024-07-101039Supreme-Saguenéens-
97 - 2024-07-111046Supreme-Wolves-
99 - 2024-07-131060Snowbirds-Supreme-
101 - 2024-07-151085Supreme-Chiwawa-
103 - 2024-07-171091Raptors-Supreme-
105 - 2024-07-191117Raptors-Supreme-
106 - 2024-07-201130Supreme-Chiwawa-
107 - 2024-07-211132Supreme-Predateurs-
109 - 2024-07-231148Scorpions-Supreme-
110 - 2024-07-241151Supreme-Outlaws-
112 - 2024-07-261174Supreme-Igloos-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance11,9104,699
Assistance PCT99.25%78.32%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
32 2768 - 92.27% 114,076$684,456$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
317,791$ 1,570,000$ 1,570,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 240,972$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,650,432$ 96 18,319$ 1,758,624$




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
Saison Régulière
4582323007553308315-741161505221158161-341161502332150154-496308507815115311013313248161891193543248080153413562707327.04%2225575.23%11866168951.27%784159349.22%702133452.62%160794920756711298640
4682253505845301313-124192001443135157-2241161504402166156108130148778821519914212233559479093451243576745212582456928.16%2035373.89%7777154050.45%749156048.01%671128152.38%159691519897131390681
47116203000513813641010003023752102000211561851861370181822336479133148433511054225321340.63%27677.78%011424546.53%9520446.57%9119147.64%211116242104209100
Total Saison Régulière17563670151398660666-688293607664323341-188734310873433732512195660108017403311222729728518012911834201798525016781040283954715528.34%45211474.78%181757347450.58%1628335748.50%1464280652.17%341519814307148928991422
Séries
45624000001920-131200000108231200000912-341925440029801642669672159522810124416.67%14657.14%05312243.44%3711033.64%309132.97%9347180468946
Total Séries624000001920-131200000108231200000912-341925440029801642669672159522810124416.67%14657.14%05312243.44%3711033.64%309132.97%9347180468946