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Connexion

Spartans
GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 40 | GA: 31 | PP%: 17.31% | PK%: 85.71%
DG: Martin Fontaine | Morale : 90 | Moyenne d’équipe : 58
Prochains matchs #149 vs Chiwawa

Centre de jeu
Snowbirds
3-5-0, 6pts
2
6 Spartans
7-3-0, 14pts
Team Stats
L4SéquenceW2
3-2-0Fiche domicile2-2-0
0-3-0Fiche domicile5-1-0
3-5-0Derniers 10 matchs7-3-0
3.63Buts par match 4.00
4.88Buts contre par match 3.10
18.18%Pourcentage en avantage numérique17.31%
84.62%Pourcentage en désavantage numérique85.71%
Spartans
7-3-0, 14pts
5
4 Snowbirds
3-5-0, 6pts
Team Stats
W2SéquenceL4
2-2-0Fiche domicile3-2-0
5-1-0Fiche domicile0-3-0
7-3-0Derniers 10 matchs3-5-0
4.00Buts par match 3.63
3.10Buts contre par match 4.88
17.31%Pourcentage en avantage numérique18.18%
85.71%Pourcentage en désavantage numérique84.62%
Chiwawa
2-6-0, 4pts
Jour 14
Spartans
7-3-0, 14pts
Statistiques d’équipe
L1SéquenceW2
1-3-0Fiche domicile2-2-0
1-3-0Fiche visiteur5-1-0
2-6-010 derniers matchs7-3-0
2.88Buts par match 4.00
3.75Buts contre par match 4.00
17.95%Pourcentage en avantage numérique17.31%
83.33%Pourcentage en désavantage numérique85.71%
Sags
2-6-1, 5pts
Jour 16
Spartans
7-3-0, 14pts
Statistiques d’équipe
L1SéquenceW2
0-5-0Fiche domicile2-2-0
2-1-1Fiche visiteur5-1-0
2-6-110 derniers matchs7-3-0
2.11Buts par match 4.00
3.78Buts contre par match 4.00
13.95%Pourcentage en avantage numérique17.31%
80.95%Pourcentage en désavantage numérique85.71%
Raptors
5-4-0, 10pts
Jour 17
Spartans
7-3-0, 14pts
Statistiques d’équipe
W2SéquenceW2
3-1-0Fiche domicile2-2-0
2-3-0Fiche visiteur5-1-0
5-4-010 derniers matchs7-3-0
4.00Buts par match 4.00
3.33Buts contre par match 4.00
17.02%Pourcentage en avantage numérique17.31%
86.00%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Matt Savoie
4
Elias D PetterssonPasses
Elias D Pettersson
5
Points
Matt Savoie
7
Plus/Moins
Matt Savoie
-2
Nikita TolopiloVictoires
Nikita Tolopilo
4
Nikita TolopiloPourcentage d’arrêts
Nikita Tolopilo
0.973

Statistiques d’équipe
Buts pour
40
4.00 GFG
Tirs pour
373
37.30 Avg
Pourcentage en avantage numérique
17.3%
9 GF
Début de zone offensive
40.2%
Buts contre
31
3.10 GAA
Tirs contre
367
36.70 Avg
Pourcentage en désavantage numérique
85.7%%
7 GA
Début de la zone défensive
41.9%
Informations de l'équipe

Directeur généralMartin Fontaine
EntraîneurWayne Gretzky
DivisionDivision Est
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure22
Limite Contrat51 / 60
Espoirs36


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
1Peyton KrebsX100.009957698558699965746762676985760906902544,000,000$
2Matt Savoie (R)X100.005045878649749964305968877082740906702243,000,000$
3Aatu RatyX100.009945867870608054915255726683720906602321,100,000$
4Lukas ReichelX100.005245898449624056695458556883720905902451,000,000$
5Daniil But (R)X100.005845877875624055305158556681700905702161,200,000$
6Bradly NadeauX100.00704592805265405130406255668070090560211775,000$
7Grigori DenisenkoX100.00504592766050404530405055508471090520264950,000$
8Lukas Rousek (R)X100.005045958060504045304050555084720905202741,000,000$
9Elias D Pettersson (R)X98.00914880805662855230485569668271090650221800,000$
10Donovan Sebrango (R)X100.00885751777563515330565065668473090640241800,000$
11Ville HeinolaX98.005245907850594045304050605085730905702531,150,000$
12Tristan LuneauX100.005045957467504048304056605082700905702221,350,000$
13Dmitri Simashev (R)X100.005748737666634046304350555081700905702161,000,000$
14Duncan KeithX100.005045957760504045304050555099870905704316,500,000$
15Maksymilian SzuberX100.005045927760504045304050555081720905602441,000,000$
16Dmitri SamorukovX100.00504595776050404530405055508372090560272925,000$
17Jake Livingstone (R)X100.005045957560504045304050555083720905602741,000,000$
Rayé
1Gavin Brindley (R)X100.006045918242506855305059556681680905602131,200,000$
2Matt NietoX100.005045927760504045304050555092810905303311,300,000$
3Georgii Merkulov (R)X100.005045957949534045304050555085730905202531,000,000$
4Logan Morrison (R)X100.005045957860504045304050555081710905202441,000,000$
5Viktor Lodin (R)X100.00504595786050404530405055508471090520271775,000$
6Sean Farrell (R)X100.005045957960504045304050555081720905202431,000,000$
7Xavier Bourgault (R)X100.005045957854504045304050555083700905202361,100,000$
MOYENNE D’ÉQUIPE99.8359468879595650493645535956847309057
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
1Nikita Tolopilo (R)100.0070557996707373707070709976090650261800,000$
2Thomas Milic (R)100.0070506079707070707070708270090610236900,000$
Rayé
1Ivan Fedotov100.00704040936565656565656588800905902911,200,000$
2Georgi Romanov (R)100.00704040906565656565656585740905802631,000,000$
3Matt Villalta (R)100.0070404085656565656565658572090580275975,000$
MOYENNE D’ÉQUIPE100.007045528967686867676767887409060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky65656565977246CAN661500,000$


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
1Matt SavoieSpartans (NYR)C10437-2002384513298.89%615015.0200000011040138.46%14300000.9300000232
2Elias D PetterssonSpartans (NYR)D10156-71803923249224.17%1821521.5012313300000130046.43%2800000.5600000115
3Ville HeinolaSpartans (NYR)D10213-600110176711.76%721921.9221311300000170014.29%700000.2700000023
4Maksymilian SzuberSpartans (NYR)D10011-46014510120%618018.040000000000000%200000.1100000220
Statistiques d’équipe totales ou en moyenne4071017-1924056769629607.29%3776419.1233624600110340138.33%18000000.44000005810
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
1Nikita TolopiloSpartans (NYR)44000.9731.002400141500000044310
Statistiques d’équipe totales ou en moyenne44000.9731.00240014150000044310


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
Aatu RatySpartans (NYR)C232002-11-14FINNo190 Lbs6 ft2NoNoN/ANoNo22026-08-30FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien NHL
Bradly NadeauSpartans (NYR)LW212005-05-05CANNo161 Lbs5 ft10NoNoTrade2026-06-07NoNo12026-08-30FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien NHL
Daniil ButSpartans (NYR)LW212005-02-15RUSYes203 Lbs6 ft5NoNoTrade2026-09-01NoNo62026-09-14FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$----1,200,000$1,200,000$1,200,000$1,200,000$1,200,000$----NoNoNoNoNo----Lien
Dmitri SamorukovSpartans (NYR)D271999-06-16RUSNo188 Lbs6 ft3NoNoN/ANoNo22026-08-30FalseFalsePro & Farm925,000$925,000$0$0$No925,000$--------925,000$--------No--------
Dmitri SimashevSpartans (NYR)D212005-02-04RUSYes198 Lbs6 ft4NoNoTrade2026-08-31NoNo62026-09-14FalseFalsePro & Farm1,000,000$1,000,000$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$1,000,000$1,000,000$----NoNoNoNoNo----Lien
Donovan SebrangoSpartans (NYR)D242002-01-12CANYes221 Lbs6 ft2NoNoProspectNoNo12026-08-30FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Duncan KeithSpartans (NYR)D431983-07-16CANNo192 Lbs6 ft1NoNoAssign ManuallyNoNo12026-08-30FalseFalsePro & Farm6,500,000$6,500,000$0$0$No---------------------------
Elias D PetterssonSpartans (NYR)D222004-02-16SWEYes185 Lbs6 ft2NoNoProspectNoNo12026-08-30FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Gavin BrindleySpartans (NYR)C212004-10-05USAYes175 Lbs5 ft9NoNoN/ANoNo32026-08-30FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien NHL
Georgi RomanovSpartans (NYR)G261999-12-15RUSYes210 Lbs6 ft5NoNoN/ANoNo32026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Georgii MerkulovSpartans (NYR)C252000-10-10RUSYes176 Lbs5 ft11NoNoN/ANoNo32026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Grigori DenisenkoSpartans (NYR)RW262000-06-24RUSNo196 Lbs5 ft11NoNoN/ANoNo42026-08-30FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------Lien NHL
Ivan FedotovSpartans (NYR)G291996-11-28RUSNo214 Lbs6 ft7NoNoN/ANoNo12026-08-30FalseFalsePro & Farm1,200,000$1,200,000$0$0$No---------------------------Lien NHL
Jake LivingstoneSpartans (NYR)D271999-04-16CANYes205 Lbs6 ft3NoNoN/ANoNo42026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Logan MorrisonSpartans (NYR)C242002-07-09CANYes179 Lbs6 ft0NoNoN/ANoNo42026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Lukas ReichelSpartans (NYR)LW242002-05-17DEUNo170 Lbs6 ft0NoNoN/ANoNo52026-08-30FalseFalsePro & Farm1,000,000$1,000,000$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
Lukas RousekSpartans (NYR)RW271999-04-20CZEYes171 Lbs5 ft11NoNoN/ANoNo42026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Maksymilian SzuberSpartans (NYR)D242002-08-25GERNo190 Lbs6 ft3NoNoN/ANoNo42026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Matt NietoSpartans (NYR)LW331992-11-05USANo187 Lbs5 ft11NoNoN/ANoNo12026-08-30FalseFalsePro & Farm1,300,000$1,300,000$0$0$No---------------------------Lien NHL
Matt SavoieSpartans (NYR)C222004-01-01CANYes179 Lbs5 ft9NoNoN/ANoNo42026-08-30FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------
Matt VillaltaSpartans (NYR)G271999-06-03CANYes190 Lbs6 ft3NoNoN/ANoNo52026-08-30FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$975,000$975,000$-----975,000$975,000$975,000$975,000$-----NoNoNoNo-----Lien NHL
Nikita TolopiloSpartans (NYR)G262000-04-06BELYes229 Lbs6 ft6NoNoDraftNoNo12026-08-30FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Peyton KrebsSpartans (NYR)C252001-01-26CANNo186 Lbs6 ft0NoNoN/ANoNo42026-08-30FalseFalsePro & Farm4,000,000$4,000,000$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Lien NHL
Sean FarrellSpartans (NYR)LW242001-11-02USAYes175 Lbs5 ft9NoNoN/ANoNo32026-08-30FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Thomas MilicSpartans (NYR)G232003-04-14CANYes175 Lbs6 ft0NoNoDraftNoNo62026-09-14FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien
Tristan LuneauSpartans (NYR)D222004-01-12CANNo195 Lbs6 ft1NoNoN/ANoNo22026-08-30FalseFalsePro & Farm1,350,000$1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien NHL
Viktor LodinSpartans (NYR)C271999-06-02SWEYes185 Lbs6 ft2NoNoN/ANoNo12026-08-30FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Ville HeinolaSpartans (NYR)D252001-03-02FINNo185 Lbs6 ft1NoNoN/ANoNo32026-08-30FalseFalsePro & Farm1,150,000$1,150,000$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------Lien NHL
Xavier BourgaultSpartans (NYR)RW232002-10-22CANYes185 Lbs5 ft11NoNoDraftNoNo62026-09-14FalseFalsePro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$----1,100,000$1,100,000$1,100,000$1,100,000$1,100,000$----NoNoNoNoNo----Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.24189 Lbs6 ft13.141,372,414$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
3Matt Savoie25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias D PetterssonVille Heinola35122
230122
3Maksymilian Szuber25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias D PetterssonVille Heinola55122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias D PetterssonVille Heinola55122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Elias D PetterssonVille Heinola55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Elias D PetterssonVille Heinola55122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Elias D PetterssonVille Heinola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Matt Savoie,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
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
1Raptors11000000615000000000001100000061521.000611170016915036124107142037914185240.00%60100.00%118136849.18%17938346.74%8116449.39%2421762466511155
2Sags11000000101000000000001100000010121.00012301169150391241071420244924200.00%20100.00%018136849.18%17938346.74%8116449.39%2421762466511155
3Scorpions20200000513-81010000037-41010000026-400.00051015001691506312410714207023284012216.67%14285.71%018136849.18%17938346.74%8116449.39%2421762466511155
4Snowbirds220000001165110000006241100000054141.000112132001691508412410714207115125115213.33%6183.33%018136849.18%17938346.74%8116449.39%2421762466511155
5Supreme22000000835110000003121100000052341.0008152300169150621241071420892237515240.00%15286.67%118136849.18%17938346.74%8116449.39%2421762466511155
6Thugs211000009811010000046-21100000052320.5009182700169150891241071420762510641317.69%6266.67%018136849.18%17938346.74%8116449.39%2421762466511155
Total1073000004031942200000161606510000024159140.70040771170116915037312410714203679811024852917.31%49785.71%218136849.18%17938346.74%8116449.39%2421762466511155
_Since Last GM Reset1073000004031942200000161606510000024159140.70040771170116915037312410714203679811024852917.31%49785.71%218136849.18%17938346.74%8116449.39%2421762466511155
_Vs Conference1073000004031942200000161606510000024159140.70040771170116915037312410714203679811024852917.31%49785.71%218136849.18%17938346.74%8116449.39%2421762466511155
_Vs Division1073000004031942200000161606510000024159140.70040771170116915037312410714203679811024852917.31%49785.71%218136849.18%17938346.74%8116449.39%2421762466511155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1014W240771173733679811024801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
107300004031
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001616
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
65100002415
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
52917.31%49785.71%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
1241071420169150
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
18136849.18%17938346.74%8116449.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2421762466511155


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
19Spartans1Sags0WSommaire du match
217Supreme1Spartans3WSommaire du match
339Spartans6Raptors1WSommaire du match
452Spartans5Supreme2WSommaire du match
659Scorpions7Spartans3LSommaire du match
774Spartans2Scorpions6LSommaire du match
885Spartans5Thugs2WSommaire du match
995Thugs6Spartans4LSommaire du match
11121Snowbirds2Spartans6WSommaire du match
12131Spartans5Snowbirds4WSommaire du match
14149Chiwawa-Spartans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
16174Sags-Spartans-
17192Raptors-Spartans-
19203Spartans-Chiwawa-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,980,000$ 0$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Spartans 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

Spartans 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

Spartans 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

Spartans 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

Spartans 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