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Connexion

Supreme
GP: 39 | W: 26 | L: 12 | OTL: 1 | P: 53
GF: 154 | GA: 130 | PP%: 13.97% | PK%: 82.46%
DG: Kevin Kipps | Morale : 90 | Moyenne d’équipe : 57
Prochains matchs #627 vs Farmers

Centre de jeu
Supreme
26-12-1, 53pts		5
Sommaire du match
 2 Grizzlies
24-13-4, 52pts
Team Stats
W3SéquenceW1
10-9-1Fiche domicile12-5-2
16-3-0Fiche domicile12-8-2
6-4-0Derniers 10 matchs5-4-1
3.95Buts par match 3.78
3.33Buts contre par match 3.22
13.97%Pourcentage en avantage numérique19.52%
82.46%Pourcentage en désavantage numérique83.84%
TigersCats
26-11-2, 54pts		4
Sommaire du match
 5 Supreme
26-12-1, 53pts
Team Stats
L1SéquenceW3
14-4-2Fiche domicile10-9-1
12-7-0Fiche domicile16-3-0
5-4-1Derniers 10 matchs6-4-0
4.08Buts par match 3.95
2.95Buts contre par match 3.33
16.42%Pourcentage en avantage numérique13.97%
85.78%Pourcentage en désavantage numérique82.46%
Farmers
17-23-1, 35pts
Jour 50
 Supreme
26-12-1, 53pts
Statistiques d’équipe
L2SéquenceW3
8-12-0Fiche domicile10-9-1
9-11-1Fiche visiteur16-3-0
4-6-010 derniers matchs6-4-0
2.73Buts par match 3.95
3.37Buts contre par match 3.95
19.05%Pourcentage en avantage numérique13.97%
82.25%Pourcentage en désavantage numérique82.46%
Supreme
26-12-1, 53pts
Jour 51
 Twins
17-18-5, 39pts
Statistiques d’équipe
W3SéquenceL1
10-9-1Fiche domicile11-7-2
16-3-0Fiche visiteur6-11-3
6-4-010 derniers matchs4-5-1
3.95Buts par match 2.63
3.33Buts contre par match 2.63
13.97%Pourcentage en avantage numérique12.71%
82.46%Pourcentage en désavantage numérique86.36%
Marlies
19-18-4, 42pts
Jour 53
 Supreme
26-12-1, 53pts
Statistiques d’équipe
W1SéquenceW3
9-7-3Fiche domicile10-9-1
10-11-1Fiche visiteur16-3-0
7-2-110 derniers matchs6-4-0
3.20Buts par match 3.95
3.46Buts contre par match 3.95
15.90%Pourcentage en avantage numérique13.97%
82.01%Pourcentage en désavantage numérique82.46%
Meneurs d'équipe
Adam EdstromButs
Adam Edstrom
13		 Adam EdstromPasses
Adam Edstrom
13
Adam EdstromPoints
Adam Edstrom
26		 Adam EdstromPlus/Moins
Adam Edstrom
14

Statistiques d’équipe
Buts pour
154
3.95 GFG		 Tirs pour
1539
39.46 Avg		 Pourcentage en avantage numérique
14.0%
25 GF		 Début de zone offensive
43.1%
Buts contre
130
3.33 GAA		 Tirs contre
1302
33.38 Avg		 Pourcentage en désavantage numérique
82.5%%
40 GA		 Début de la zone défensive
39.2%
Informations de l'équipe

Directeur généralKevin Kipps
EntraîneurTodd Nelson
DivisionDivision Est
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,975
Billets de saison300


Informations de la formation

Équipe Pro17
Équipe Mineure19
Limite Contrat36 / 50
Espoirs59


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 SPÂgeContratSalaire
1A.J. GreerX100.009963517775509854305156696688750906302811,000,000$
2Marat Khusnutdinov (R)X100.00624588815060915274485566658271090620232925,000$
3Adam Edstrom (R)X100.00884881729950625230465858668471090600242775,000$
4Linus Karlsson (R)X100.00734588835555405630516165678573090590252775,000$
5Skyler Brind'Amour (R)X100.00504592766683404730405469508579090570265800,000$
6Danil Gushchin (R)X100.00524587804062404730445062508372090540235800,000$
7Nikita Grebenkin (R)X100.00604592747350404530405059508168090540225800,000$
8Nikita Prishchepov (R)X100.00574595776350404530405055508168090530215800,000$
9Ty Mueller (R)X100.00504592785552404530405061508269090530225800,000$
10Dalibor Dvorsky (R)X100.005045957667504045304050555079660905202051,000,000$
11Vladislav KamenevX100.00504595776050404530405055508774090520293775,000$
12Vladislav KolyachonokX100.00634587806154425430525758668371090600243900,000$
13Artemi Kniazev (R)X98.00504595796050404530405055508269090560243850,000$
Rayé
1Evgeny SvechnikovX100.00504595776050404530405055508674090520281775,000$
2Ruslan Iskhakov (R)X100.00504595804250404530405055508374090510252775,000$
MOYENNE D’ÉQUIPE99.8760468978625449483343536055837209056
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 SPÂgeContratSalaire
1Petr Mrazek100.00767284847578787675727092870906803312,750,000$
2Ville Husso100.00705064897070707070707089780906203041,600,000$
Rayé
MOYENNE D’ÉQUIPE100.007361748773747473737170918309065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson65656565887664CAN575700,000$


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
1Adam EdstromSupreme (ATL)C391313261452014361118418811.02%863516.301129590002783148.46%74500000.8201000972
2Artemi KniazevSupreme (ATL)D3941115814046305810396.90%4076519.632023010600001120050.00%1200000.3900000287
3Linus KarlssonSupreme (ATL)C1325741201829287317.14%213110.1200000000040047.85%16300001.0600000432
Statistiques d’équipe totales ou en moyenne9119294826780207120204581589.31%50153216.853143916600021953148.37%92000000.6301000151811
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


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
A.J. GreerSupreme (ATL)RW281996-12-14CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12026-03-08FalseFalsePro & Farm1,000,000$546,296$0$0$No---------------------------Lien NHL
Adam EdstromSupreme (ATL)C242000-10-12SWEYes234 Lbs6 ft7NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$--------775,000$--------No--------Lien NHL
Artemi KniazevSupreme (ATL)D242001-01-04RUSYes178 Lbs5 ft11NoNoN/ANoNo32026-03-08FalseFalsePro & Farm850,000$464,352$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Dalibor DvorskySupreme (ATL)RW202005-06-15SVKYes201 Lbs6 ft1NoNoDraftNoNo52026-03-08FalseFalsePro & Farm1,000,000$546,296$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Danil GushchinSupreme (ATL)LW232002-02-06RUSYes165 Lbs5 ft8NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Evgeny SvechnikovSupreme (ATL)RW281996-10-31RUSNo208 Lbs6 ft3NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No---------------------------
Linus KarlssonSupreme (ATL)C251999-11-16SWEYes178 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$--------775,000$--------No--------Lien NHL
Marat KhusnutdinovSupreme (ATL)C232002-07-17RUSYes176 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm925,000$505,324$0$0$No925,000$--------925,000$--------No--------Lien NHL
Nikita GrebenkinSupreme (ATL)RW222003-05-02RUSYes210 Lbs6 ft2NoNoTrade2026-04-01NoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Nikita PrishchepovSupreme (ATL)C212004-02-20RUSYes194 Lbs6 ft1NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Petr MrazekSupreme (ATL)G331992-02-14CZENo188 Lbs6 ft2NoNoN/ANoNo12026-03-08FalseFalsePro & Farm2,750,000$1,502,315$0$0$No---------------------------Lien NHL
Ruslan IskhakovSupreme (ATL)C252000-07-22RUSYes170 Lbs5 ft8NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$--------775,000$--------No--------
Skyler Brind'AmourSupreme (ATL)C261999-07-27USAYes195 Lbs6 ft2NoNoProspectNoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Ty MuellerSupreme (ATL)C222003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----Lien NHL
Ville HussoSupreme (ATL)G301995-02-06FINNo200 Lbs6 ft3NoNoN/ANoNo42026-03-08FalseFalsePro & Farm1,600,000$874,074$0$0$No1,600,000$1,600,000$1,600,000$------1,600,000$1,600,000$1,600,000$------NoNoNo------Lien NHL
Vladislav KamenevSupreme (ATL)LW291996-08-12RUSNo194 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Vladislav KolyachonokSupreme (ATL)D242001-05-26BLRNo193 Lbs6 ft1NoNoN/ANoNo32026-03-08FalseFalsePro & Farm900,000$491,667$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1725.12193 Lbs6 ft13.18994,118$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Adam Edstrom30122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi Kniazev35122
230122
325122
4Artemi Kniazev10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Adam Edstrom45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi Kniazev55122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Adam Edstrom45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi Kniazev55122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Artemi Kniazev55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
2Adam Edstrom45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artemi Kniazev55122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi Kniazev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Artemi Kniazev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Artemi Kniazev, Artemi Kniazev,
Tirs de pénalité
, , , Adam Edstrom,
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
TotalDomicile Visiteur
# 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 RI
1Bandits31100010981100000104312110000055040.667914230055544051115034755461776263772600.00%16381.25%0780152151.28%678138448.99%33562553.60%960689948272442214
2Barracudas1010000047-31010000047-30000000000000.00048120055544053750347554617441318295240.00%9188.89%1780152151.28%678138448.99%33562553.60%960689948272442214
3Bayou11000000532110000005320000000000021.00059140055544056750347554617336112611218.18%3166.67%0780152151.28%678138448.99%33562553.60%960689948272442214
4Chiwawa11000000321000000000001100000032121.000369005554405535034755461736121629700.00%70100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
5CoolFm11000000312000000000001100000031221.00035800555440533503475546172151626400.00%8187.50%1780152151.28%678138448.99%33562553.60%960689948272442214
6Farmers2200000011650000000000022000000116541.00011223300555440577503475546175023206810330.00%10370.00%0780152151.28%678138448.99%33562553.60%960689948272442214
7Grizzlies31101000131211010000036-321001000106440.667132437005554405124503475546171052320721616.25%10370.00%0780152151.28%678138448.99%33562553.60%960689948272442214
8Hunters11000000642110000006420000000000021.00061016005554405415034755461742111425400.00%6350.00%0780152151.28%678138448.99%33562553.60%960689948272442214
9Husky22000000927220000009270000000000041.000917260155544058050347554617612030621119.09%13192.31%0780152151.28%678138448.99%33562553.60%960689948272442214
10Igloos1010000016-51010000016-50000000000000.0001230055544054650347554617416817400.00%4250.00%0780152151.28%678138448.99%33562553.60%960689948272442214
11Marlies1010000024-2000000000001010000024-200.00024600555440528503475546174191228500.00%50100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
12Marmots21100000752000000000002110000075220.50071320005554405103503475546174614174810220.00%5180.00%0780152151.28%678138448.99%33562553.60%960689948272442214
13Predateurs10001000431000000000001000100043121.0004812005554405405034755461729101228600.00%5180.00%0780152151.28%678138448.99%33562553.60%960689948272442214
14Raptors10001000871000000000001000100087121.000815230055544054850347554617381412242150.00%6350.00%0780152151.28%678138448.99%33562553.60%960689948272442214
15Rockets1010000067-11010000067-10000000000000.000612180055544053750347554617441824403133.33%11281.82%0780152151.28%678138448.99%33562553.60%960689948272442214
16Sags10001000431100010004310000000000021.0004610005554405335034755461733142621100.00%12283.33%0780152151.28%678138448.99%33562553.60%960689948272442214
17Smirnoff Ice11000000211000000000001100000021121.000235005554405315034755461729812225120.00%50100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
18Snowbirds11000000321110000003210000000000021.0003690055544054150347554617235821800.00%40100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
19Thugs1010000024-21010000024-20000000000000.00023500555440534503475546173781421600.00%7271.43%0780152151.28%678138448.99%33562553.60%960689948272442214
20TigersCats541000002115632100000131212200000083580.80021406110555440516950347554617230559516220315.00%39879.49%0780152151.28%678138448.99%33562553.60%960689948272442214
21Twins11000000633110000006330000000000021.00061218005554405415034755461720101023500.00%5180.00%0780152151.28%678138448.99%33562553.60%960689948272442214
22Vandals211000008441010000012-11100000072520.50081523005554405795034755461741831428450.00%9188.89%0780152151.28%678138448.99%33562553.60%960689948272442214
23Vipers1010000034-11010000034-10000000000000.000358005554405305034755461735716277114.29%80100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
24Warriors1000010023-11000010023-10000000000010.500235005554405395034755461723710204125.00%40100.00%0780152151.28%678138448.99%33562553.60%960689948272442214
25Xpress321000001214-21010000017-622000000117440.6671224360055544051175034755461712437408811218.18%17194.12%0780152151.28%678138448.99%33562553.60%960689948272442214
Total39211204110154130242089011107378-51913303000815229530.679154286440115554405153950347554617130236952910411792513.97%2284082.46%2780152151.28%678138448.99%33562553.60%960689948272442214
_Since Last GM Reset39211204110154130242089011107378-51913303000815229530.679154286440115554405153950347554617130236952910411792513.97%2284082.46%2780152151.28%678138448.99%33562553.60%960689948272442214
_Vs Conference1254030005042883401000282804200200022148160.667509314300555440550350347554617369107174291661015.15%751284.00%1780152151.28%678138448.99%33562553.60%960689948272442214
_Vs Division52102000201823110100099021001000119280.8002036560055544052095034755461716753761162414.17%36780.56%0780152151.28%678138448.99%33562553.60%960689948272442214

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3953W315428644015391302369529104111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3921124110154130
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
208911107378
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1913330008152
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1792513.97%2284082.46%2
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
503475546175554405
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
780152151.28%678138448.99%33562553.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
960689948272442214


Derniers matchs 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
18TigersCats5Supreme3LSommaire du match
229Vandals2Supreme1LSommaire du match
443Supreme6Farmers3WSommaire du match
553Supreme3Bandits1WSommaire du match
670Supreme4TigersCats2WSommaire du match
781Hunters4Supreme6WSommaire du match
9104Rockets7Supreme6LSommaire du match
11124Supreme2Smirnoff Ice1WSommaire du match
12135Supreme4Predateurs3WXSommaire du match
13147Husky0Supreme6WSommaire du match
15167Vipers4Supreme3LSommaire du match
16186Supreme5Grizzlies4WXSommaire du match
17200Supreme8Raptors7WXSommaire du match
18209Warriors3Supreme2LXSommaire du match
19226Supreme4Xpress2WSommaire du match
20238Supreme2Marlies4LSommaire du match
21248Bayou3Supreme5WSommaire du match
23271Bandits3Supreme4WXXSommaire du match
24290Grizzlies6Supreme3LSommaire du match
25305Supreme5Farmers3WSommaire du match
27320Supreme3Chiwawa2WSommaire du match
28333Husky2Supreme3WSommaire du match
29353Igloos6Supreme1LSommaire du match
31376Xpress7Supreme1LSommaire du match
32388Supreme4Marmots1WSommaire du match
34406Snowbirds2Supreme3WSommaire du match
35420Supreme4TigersCats1WSommaire du match
36437Sags3Supreme4WXSommaire du match
37451Supreme3CoolFm1WSommaire du match
39470Twins3Supreme6WSommaire du match
40485Supreme7Xpress5WSommaire du match
41501Supreme7Vandals2WSommaire du match
42509Thugs4Supreme2LSommaire du match
43531Barracudas7Supreme4LSommaire du match
45550Supreme3Marmots4LSommaire du match
46564Supreme2Bandits4LSommaire du match
47579TigersCats3Supreme5WSommaire du match
48594Supreme5Grizzlies2WSommaire du match
49609TigersCats4Supreme5WSommaire du match
50627Farmers-Supreme-
51641Supreme-Twins-
53661Marlies-Supreme-
54680Bayou-Supreme-
56701Supreme-Predateurs-
57717Hunters-Supreme-
58739Supreme-Sags-
59747Outlaws-Supreme-
60770Igloos-Supreme-
62779Supreme-Rockets-
64806Predateurs-Supreme-
65815Supreme-Marlies-
66838Bandits-Supreme-
67848Supreme-Outlaws-
69868Rockets-Supreme-
70879Supreme-Barracudas-
71894Supreme-Husky-
72904Warriors-Supreme-
74928Supreme-Goons-
75936CoolFm-Supreme-
77963Spartans-Supreme-
78975Supreme-Spartans-
79980Supreme-Scorpions-
80995Wolves-Supreme-
811007Supreme-Hunters-
821024Supreme-Vipers-
831032Smirnoff Ice-Supreme-
841056Scorpions-Supreme-
861064Supreme-Raptors-
871081Supreme-Wolves-
891092Vipers-Supreme-
901116Chiwawa-Supreme-
921135Supreme-Bayou-
941151Marmots-Supreme-
951163Supreme-CoolFm-
961180Raptors-Supreme-
971184Supreme-Snowbirds-
1011212Goons-Supreme-
1021228Supreme-Warriors-
1031240Supreme-Igloos-
1051244Supreme-Thugs-
1061245Supreme-Smirnoff Ice-
1071258Goons-Supreme-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance39,93719,553
Assistance PCT99.84%97.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
21 2975 - 99.15% 119,312$2,386,248$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,066,079$ 1,690,000$ 1,690,000$ 700,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 745,598$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,505,560$ 59 22,130$ 1,305,670$




Supreme Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Supreme Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Supreme Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Supreme Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Supreme Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA





Site web créé par le SimonT Hockey Simulator (STHS) pour Michael Langlois - English Version of the Website - La base de données a été créé : 30/05/2026 14:19:26