Association Québécoise de Hockey Simulé - Marmots 

Marmots

GP: 5 | W: 1 | L: 1 | OTL: 3 | P: 5
GF: 22 | GA: 24 | PP%: 14.29% | PK%: 58.82%
DG: Patrick Gagnon | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #91 vs Grizzlies
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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
1Mason Shaw (R)X100.00806658825456715730546078678472090630
2Tanner PearsonX100.00684866806868405530565460679081090600
3Hunter McKown (R)X99.00594584767061404985485064508069090590
4Nic PetanX100.00504592814758405130485459658877090560
5Cedric PaquetteX99.00504595756950404530405055509077090530
6Mathieu PerreaultX96.00504595775750404530405055509582090530
7Brian PinhoX100.00504595776350404530405055508875090530
8Kole SherwoodX100.00504595747450404530405055508673090530
9Paul ByronX100.00504595804050404530405055509481090520
10Alex GoligoskiX100.00624585814574565130475568659789090630
11Dylan McIlrathX100.00614885718750404730445058509078090600
12Taylor FedunX100.00504595766350404530405059509482090580
Rayé
1Kevin GravelX99.00684590757159404730445068509179090620
MOYENNE D'ÉQUIPE99.4658478777625644483445526155907809057
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
1Ivan Prosvetov (R)100.0070507787707070707070708372090620
Rayé
MOYENNE D'ÉQUIPE100.007050778770707070707070837209062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tony Granato65656565937454USA592700,000$


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
1Hunter McKownMarmots (LON)C5426-100282262118.18%19218.4100049000000067.29%10774011.3000000110
2Tanner PearsonMarmots (LON)RW53142003528101810.71%16913.9500000000000025.00%461001.1501000010
3Cedric PaquetteMarmots (LON)LW5213-1000262433.33%17515.06000080000000100.00%101000.8000000101
4Mason ShawMarmots (LON)RW1303-100131121127.27%12222.4210114000030050.00%230012.6800000001
5Nic PetanMarmots (LON)RW51233000164516.67%0357.080000000000010.00%010001.7000000010
6Dylan McIlrathMarmots (LON)D5011-120054140.00%49519.160000700005000.00%003000.2100000000
7Taylor FedunMarmots (LON)D5011600022000.00%16813.660000100000000.00%012000.2900000000
8Paul ByronMarmots (LON)LW51012002270514.29%06813.6300000000000075.00%430000.2900000000
9Kevin GravelMarmots (LON)D4011-120116210.00%610225.510000600009000.00%007000.2000000000
10Mathieu PerreaultMarmots (LON)LW5000-100206180.00%09018.0800009000000088.89%934000.0000000000
11Kole SherwoodMarmots (LON)RW5000000000000.00%051.160000100000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne5014923740112998287714.29%1572514.511015470000190167.19%1282422020.6301000232
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex GoligoskiMarmots (LON)D381985-07-30No173 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm4,500,000$0$0$No
Brian PinhoMarmots (LON)C281995-05-11No190 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Cedric PaquetteMarmots (LON)LW301993-08-13No205 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm3,500,000$0$0$No
Dylan McIlrathMarmots (LON)D311992-04-20No232 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Hunter McKownMarmots (LON)C212002-08-18Yes205 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm2,650,000$0$0$No
Ivan ProsvetovMarmots (LON)G241999-03-05Yes195 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Kevin GravelMarmots (LON)D311992-03-06No205 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Kole SherwoodMarmots (LON)RW261997-01-22No212 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Mason ShawMarmots (LON)RW241998-11-03Yes184 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Mathieu PerreaultMarmots (LON)LW351988-01-05No189 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm4,000,000$0$0$No
Nic PetanMarmots (LON)RW281995-03-22No175 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm700,000$0$0$No
Paul ByronMarmots (LON)LW341989-04-27No158 Lbs5 ft9NoNoNo2Sans RestrictionPro & Farm4,000,000$0$0$No
Tanner PearsonMarmots (LON)RW311992-08-10No201 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$0$0$No
Taylor FedunMarmots (LON)D351988-06-04No200 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1429.71195 Lbs6 ft12.501,935,714$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mathieu PerreaultHunter McKown35122
2Cedric Paquette30122
3Paul ByronTanner Pearson25122
4Nic Petan10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Dylan McIlrath30122
3Taylor Fedun25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mathieu PerreaultHunter McKown55122
2Cedric Paquette45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dylan McIlrath45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Tanner PearsonHunter McKown45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dylan McIlrath45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Dylan McIlrath45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Tanner PearsonHunter McKown45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dylan McIlrath45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mathieu PerreaultHunter McKown
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mathieu PerreaultHunter McKown
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kole Sherwood, Nic Petan, Kole Sherwood, Nic Petan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Taylor Fedun, , Dylan McIlrathTaylor Fedun, Dylan McIlrath
Tirs de Pénalité
, , Tanner Pearson, Hunter McKown, Nic Petan
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Farmers11000000532000000000001100000053221.00058130046120324351592339411200.00%3166.67%06711458.77%558763.22%619663.54%14610890356834
2Rockets1010000023-11010000023-10000000000000.0002460046120214351592246108100.00%5260.00%06711458.77%558763.22%619663.54%14610890356834
3Smirnoff Ice1000010067-11000010067-10000000000010.500610160046120384351592311212125120.00%6350.00%06711458.77%558763.22%619663.54%14610890356834
4TigersCats1000000145-11000000145-10000000000010.500481200461202443515922350205120.00%000.00%06711458.77%558763.22%619663.54%14610890356834
Total511002012224-2301001011215-321000100109150.5002239610046120153435159214340326114214.29%17758.82%06711458.77%558763.22%619663.54%14610890356834
6Warriors1000010056-1000000000001000010056-110.50059140046120384351592328610100.00%3166.67%06711458.77%558763.22%619663.54%14610890356834
_Since Last GM Reset511002012224-2301001011215-321000100109150.5002239610046120153435159214340326114214.29%17758.82%06711458.77%558763.22%619663.54%14610890356834
_Vs Conference511002012224-2301001011215-321000100109150.5002239610046120153435159214340326114214.29%17758.82%06711458.77%558763.22%619663.54%14610890356834
_Vs Division511002012224-2301001011215-321000100109150.5002239610046120153435159214340326114214.29%17758.82%06711458.77%558763.22%619663.54%14610890356834

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55SOL122396115314340326100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51102012224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30101011215
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2100100109
Derniers 10 Matchs
WLOTWOTL SOWSOL
110201
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14214.29%17758.82%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
435159246120
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
6711458.77%558763.22%619663.54%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14610890356834


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 - 2024-03-242Smirnoff Ice7Marmots6LXSommaire du Match
3 - 2024-03-2630Marmots5Farmers3WSommaire du Match
4 - 2024-03-2747Rockets3Marmots2LSommaire du Match
5 - 2024-03-2858Marmots5Warriors6LXSommaire du Match
6 - 2024-03-2976TigersCats5Marmots4LXXSommaire du Match
8 - 2024-03-3191Marmots-Grizzlies-
9 - 2024-04-01105Marmots-Smirnoff Ice-
10 - 2024-04-02114Farmers-Marmots-
11 - 2024-04-03135Warriors-Marmots-
13 - 2024-04-05160Marlies-Marmots-
14 - 2024-04-06165Marmots-TigersCats-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
16 - 2024-04-08189Grizzlies-Marmots-
18 - 2024-04-10208Marmots-Rockets-
19 - 2024-04-11212Marmots-Marlies-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets7530
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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,710,000$ 2,710,000$ 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
0$ 15 0$ 0$




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
4582284102245298331-3341141900125150163-1341142202120148168-2075298479777215510812911235056584791460261977458513322516626.29%2395776.15%5629150541.79%706165342.71%604134544.91%143376021707041373678
468231300765328927613411613034411461361041151704212143140395289475764115011111618228254088983445246778756312492457530.61%2175674.19%3743152348.79%726160045.38%668129751.50%154485820297081403703
Total Saison Régulière164597109898587607-2082303203566296299-382293906332291308-17170587954154132105219245294632110517361748105508615611148258149614128.43%45611375.22%81372302845.31%1432325344.02%1272264248.15%297716194200141227771381