Association Québécoise de Hockey Simulé - Grizzlies 

Grizzlies

GP: 8 | W: 4 | L: 2 | OTL: 2 | P: 10
GF: 31 | GA: 32 | PP%: 20.00% | PK%: 71.43%
DG: Jonathan Mattson | Morale : 90 | Moyenne d'Équipe : 59
Prochain matchs #130 vs Rockets
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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
1Morgan GeekieX100.00635185837252836279636179688471090680
2Benoit-Olivier GroulxX100.00504595767082404530405080508376090590
3Vasily PodkolzinX100.00764889796359475230465856668170090570
4Brian BoyleX100.00504595709950404530405055509986090550
5Patrik BerglundX100.00504595738450404530405055509582090540
6Lias AnderssonX100.00504595786050404530405055508471090530
7Ryan Kuffner (R)X99.00504595776550404530405055508774090530
8Mason GeertsenX100.00504595728250404530405055508875090580
9Brandt Clarke (R)X98.00504587795757404930485061508068090580
10Egor YakovlevX100.00504595775650404530405055509279090570
11Joshua Jacobs (R)X99.00504595766550404530405055508774090570
Rayé
1Jack QuinnX100.00584890876069916530656562908172090680
2Urho VaakanainenX100.00634595776569404930475068508474090620
MOYENNE D'ÉQUIPE99.6955469377695748493445536156877509058
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
1Joseph Woll100.0077507589777677767773708473090660
2Ben Bishop100.0070404092656565656565659389090600
3Alexander Salak100.0070404084656565656565659081090590
4Andrey Makarov100.0070404081656565656565658474090580
Rayé
MOYENNE D'ÉQUIPE100.007243498768686868686766887909061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien65656565977246CAN6321,500,000$


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
1Vasily PodkolzinGrizzlies (EDM)RW85490201173372015.15%514217.8711239000060120.00%5107001.2600000101
2Brandt ClarkeGrizzlies (EDM)D8268180812203610.00%819624.51112218000014000.00%029000.8200000000
3Benoit-Olivier GroulxGrizzlies (EDM)C82571201192310138.70%415319.1601139000061039.89%17845000.9100000010
4Morgan GeekieGrizzlies (EDM)C4156100111223794.35%69022.73011310011360060.20%9873001.3211000000
5Patrik BerglundGrizzlies (EDM)LW8336-100915167818.75%513817.33000010000000060.00%562000.8700000010
6Jack QuinnGrizzlies (EDM)RW642612013134412199.09%213722.851015130000101037.04%27144000.8811000100
7Ryan KuffnerGrizzlies (EDM)RW8235100148176711.76%112715.9300002000001040.00%541000.7800000101
8Jake CheliosEdmonton OilersD5134-3202151020.00%47615.400000100000000.00%031001.0400000010
9Urho VaakanainenGrizzlies (EDM)D5134320111474814.29%812825.7710111200008000.00%007000.6200000000
10J.C. BeaudinEdmonton OilersC5123-1006563816.67%27815.6700000000000031.25%1642000.7700000000
11Brian BoyleGrizzlies (EDM)LW8213-2201215133715.38%815719.68000318000230050.00%665000.3800000000
12Lias AnderssonGrizzlies (EDM)C8112020141373614.29%112115.1800011000000040.00%8032000.3300000001
13Joshua JacobsGrizzlies (EDM)D8011040285110.00%215419.30000011000010000.00%026000.1300000000
14Mason GeertsenGrizzlies (EDM)D7000-200675130.00%314120.220000900018000.00%065000.0000000000
15Egor YakovlevGrizzlies (EDM)D80001203105240.00%412015.110000000003000.00%023000.0000000000
Stats d'équipe Total ou en Moyenne10425396402801331492297011910.92%63196618.91448211290116793144.29%4207362000.6522000333
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
1Ben BishopGrizzlies (EDM)52210.8764.15304002117089000.667350000
Stats d'équipe Total ou en Moyenne52210.8764.15304002117089000.667350000


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
Alexander SalakGrizzlies (EDM)G341988-10-12No189 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Andrey MakarovGrizzlies (EDM)G281994-10-12No178 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Ben BishopGrizzlies (EDM)G361986-11-21No210 Lbs6 ft7NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Benoit-Olivier GroulxGrizzlies (EDM)C232000-02-06No200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Brandt ClarkeGrizzlies (EDM)D202003-02-09Yes185 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Brian BoyleGrizzlies (EDM)LW381984-12-18No245 Lbs6 ft6NoNoNo2Sans RestrictionPro & Farm2,500,000$0$0$No
Egor YakovlevGrizzlies (EDM)D311991-10-12No190 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Jack QuinnGrizzlies (EDM)RW222001-09-19No185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,200,000$0$0$No
Joseph WollGrizzlies (EDM)G251998-07-12No203 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Joshua JacobsGrizzlies (EDM)D271996-02-15Yes200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Lias AnderssonGrizzlies (EDM)C241998-10-13No185 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Mason GeertsenGrizzlies (EDM)D281995-04-19No227 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm850,000$0$0$No
Morgan GeekieGrizzlies (EDM)C251998-07-20No200 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$No
Patrik BerglundGrizzlies (EDM)LW341988-10-12No219 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Ryan KuffnerGrizzlies (EDM)RW261996-10-12Yes194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Urho VaakanainenGrizzlies (EDM)D241999-01-01No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm850,000$0$0$No
Vasily PodkolzinGrizzlies (EDM)RW222001-06-24No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,200,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1727.47200 Lbs6 ft21.65967,647$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brian BoyleMorgan Geekie35122
2Patrik BerglundBenoit-Olivier GroulxVasily Podkolzin30122
3Lias AnderssonRyan Kuffner25122
4Morgan GeekieBenoit-Olivier Groulx10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandt Clarke35122
2Mason GeertsenJoshua Jacobs30122
3Egor Yakovlev25122
4Brandt Clarke10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brian BoyleMorgan Geekie55122
2Patrik BerglundBenoit-Olivier GroulxVasily Podkolzin45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandt Clarke55122
2Mason GeertsenJoshua Jacobs45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Morgan Geekie55122
2Benoit-Olivier GroulxVasily Podkolzin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandt Clarke55122
2Mason GeertsenJoshua Jacobs45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Brandt Clarke55122
2Morgan Geekie45122Mason GeertsenJoshua Jacobs45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Morgan Geekie55122
2Benoit-Olivier GroulxVasily Podkolzin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandt Clarke55122
2Mason GeertsenJoshua Jacobs45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brian BoyleMorgan GeekieBrandt Clarke
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brian BoyleMorgan GeekieBrandt Clarke
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Kuffner, Lias Andersson, Brian BoyleRyan Kuffner, Lias AnderssonBrian Boyle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Egor Yakovlev, Mason Geertsen, Joshua JacobsEgor YakovlevMason Geertsen, Joshua Jacobs
Tirs de Pénalité
, Morgan Geekie, Benoit-Olivier Groulx, Vasily Podkolzin, Brian Boyle
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
1Farmers1000010023-1000000000001000010023-110.5002350051411229541139033276282150.00%3233.33%07017440.23%9118948.15%5912846.09%1741001587615376
2Marlies1010000017-6000000000001010000017-600.0001230051411231541139034512616000.00%3166.67%07017440.23%9118948.15%5912846.09%1741001587615376
3Marmots20100010880100000105411010000034-120.5008111900514112555411390357211050300.00%5260.00%07017440.23%9118948.15%5912846.09%1741001587615376
4Rockets11000000532110000005320000000000021.00059140051411241541139033666204125.00%3166.67%07017440.23%9118948.15%5912846.09%1741001587615376
5TigersCats11000000541110000005410000000000021.000591400514112325411390354156243133.33%30100.00%07017440.23%9118948.15%5912846.09%1741001587615376
Total832002103132-14300001021138402002001019-9100.6253152830051411225854113903277754217620420.00%21671.43%17017440.23%9118948.15%5912846.09%1741001587615376
7Warriors210001001073110000006241000010045-130.75010182800514112705411390353148388112.50%40100.00%17017440.23%9118948.15%5912846.09%1741001587615376
_Since Last GM Reset832002103132-14300001021138402002001019-9100.6253152830051411225854113903277754217620420.00%21671.43%17017440.23%9118948.15%5912846.09%1741001587615376
_Vs Conference832002103132-14300001021138402002001019-9100.6253152830051411225854113903277754217620420.00%21671.43%17017440.23%9118948.15%5912846.09%1741001587615376
_Vs Division832002103132-14300001021138402002001019-9100.6253152830051411225854113903277754217620420.00%21671.43%17017440.23%9118948.15%5912846.09%1741001587615376

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
810W2315283258277754217600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
83202103132
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43000102113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
40202001019
Derniers 10 Matchs
WLOTWOTL SOWSOL
320210
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
20420.00%21671.43%1
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
54113903514112
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
7017440.23%9118948.15%5912846.09%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1741001587615376


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 - 2024-04-063Grizzlies3Marmots4LSommaire du Match
2 - 2024-04-0719Marmots4Grizzlies5WXXSommaire du Match
4 - 2024-04-0941Rockets3Grizzlies5WSommaire du Match
6 - 2024-04-1153Grizzlies1Marlies7LSommaire du Match
7 - 2024-04-1262Grizzlies2Farmers3LXSommaire du Match
8 - 2024-04-1373Grizzlies4Warriors5LXSommaire du Match
9 - 2024-04-1489Warriors2Grizzlies6WSommaire du Match
11 - 2024-04-16112TigersCats4Grizzlies5WSommaire du Match
13 - 2024-04-18130Grizzlies-Rockets-
14 - 2024-04-19146Farmers-Grizzlies-
15 - 2024-04-20154Grizzlies-TigersCats-
17 - 2024-04-22176Marlies-Grizzlies-
18 - 2024-04-23183Grizzlies-Smirnoff Ice-
20 - 2024-04-25204Scorpions-Grizzlies-
21 - 2024-04-26225Grizzlies-Marmots-
22 - 2024-04-27234Rockets-Grizzlies-
24 - 2024-04-29250Grizzlies-Xpress-
25 - 2024-04-30264Wolves-Grizzlies-
26 - 2024-05-01277Grizzlies-Hunters-
28 - 2024-05-03299Smirnoff Ice-Grizzlies-
30 - 2024-05-05317Grizzlies-Smirnoff Ice-
31 - 2024-05-06330Grizzlies-Twins-
32 - 2024-05-07340TigersCats-Grizzlies-
34 - 2024-05-09357Grizzlies-Goons-
35 - 2024-05-10371Goons-Grizzlies-
37 - 2024-05-12390Xpress-Grizzlies-
39 - 2024-05-14410Grizzlies-Snowbirds-
40 - 2024-05-15423Grizzlies-Marlies-
41 - 2024-05-16429Snowbirds-Grizzlies-
42 - 2024-05-17447Grizzlies-Wolves-
44 - 2024-05-19460Marlies-Grizzlies-
45 - 2024-05-20483Vipers-Grizzlies-
46 - 2024-05-21495Grizzlies-Bayou-
48 - 2024-05-23513Barracudas-Grizzlies-
50 - 2024-05-25533Grizzlies-Vandals-
51 - 2024-05-26547Marmots-Grizzlies-
52 - 2024-05-27564Chiwawa-Grizzlies-
54 - 2024-05-29578Grizzlies-Chiwawa-
55 - 2024-05-30591Grizzlies-Igloos-
57 - 2024-06-01606Grizzlies-TigersCats-
58 - 2024-06-02618Spartans-Grizzlies-
60 - 2024-06-04638Bandits-Grizzlies-
62 - 2024-06-06658Farmers-Grizzlies-
63 - 2024-06-07673Grizzlies-Rockets-
64 - 2024-06-08684Grizzlies-Warriors-
66 - 2024-06-10700Supreme-Grizzlies-
68 - 2024-06-12722Raptors-Grizzlies-
69 - 2024-06-13734Grizzlies-Predateurs-
70 - 2024-06-14746Grizzlies-Supreme-
71 - 2024-06-15764Warriors-Grizzlies-
72 - 2024-06-16773Grizzlies-Bayou-
73 - 2024-06-17793Grizzlies-Husky-
74 - 2024-06-18803Thugs-Grizzlies-
75 - 2024-06-19816Grizzlies-Thugs-
77 - 2024-06-21832Predateurs-Grizzlies-
78 - 2024-06-22854Husky-Grizzlies-
80 - 2024-06-24870Grizzlies-Bandits-
81 - 2024-06-25884Grizzlies-Saguenéens-
83 - 2024-06-27892Scorpions-Grizzlies-
84 - 2024-06-28912Grizzlies-CoolFm-
86 - 2024-06-30928Igloos-Grizzlies-
88 - 2024-07-02950Vandals-Grizzlies-
89 - 2024-07-03964Grizzlies-Outlaws-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04974Grizzlies-Raptors-
91 - 2024-07-05988CoolFm-Grizzlies-
93 - 2024-07-071004Grizzlies-Scorpions-
94 - 2024-07-081020Twins-Grizzlies-
96 - 2024-07-101036Grizzlies-Barracudas-
97 - 2024-07-111047Smirnoff Ice-Grizzlies-
100 - 2024-07-141072Saguenéens-Grizzlies-
101 - 2024-07-151078Grizzlies-Spartans-
103 - 2024-07-171099Grizzlies-Vipers-
105 - 2024-07-191113Bayou-Grizzlies-
106 - 2024-07-201122Grizzlies-Farmers-
108 - 2024-07-221146Hunters-Grizzlies-
112 - 2024-07-261175Outlaws-Grizzlies-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets6525
Assistance4,3982,620
Assistance PCT54.98%65.50%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
34 1755 - 58.48% 105,411$421,644$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
310,177$ 1,645,000$ 1,645,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 164,163$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,583,974$ 102 27,832$ 2,838,864$




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
45822637011323223254-3141152005100115118-341111706223108136-28842234076303040878318172338959871153195363489110052364318.22%2637073.38%11602120649.92%696130053.54%717126356.77%2337173515395691095552
468239270654127425915412215002201341295411712063211401301010427448876211501179711189541071275829194165071611352425321.90%2396672.38%5615127248.35%686134950.85%584124047.10%2295169015385761125569
47832002103132-14300001021138402002001019-9103152830051411225854113903277754217620420.00%21671.43%17017440.23%9118948.15%5912846.09%1741001587615376
Total Saison Régulière17268660171074528545-178640350533027026010862831012744258285-27198528947147541952181913138768531423155985417113591649231649810020.08%52314272.85%171287265248.53%1473283851.90%1360263151.69%480635253237122123741198