Association Québécoise de Hockey Simulé - Grizzlies 

Grizzlies

GP: 17 | W: 8 | L: 6 | OTL: 3 | P: 19
GF: 64 | GA: 66 | PP%: 21.62% | PK%: 71.11%
DG: Jonathan Mattson | Morale : 90 | Moyenne d'Équipe : 56
Prochain matchs #264 vs Wolves
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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
1Benoit-Olivier GroulxX100.00504595767082404530405080508376090590
2Vasily PodkolzinX100.00764889796359475230465856668170090570
3Brian BoyleX100.00504595709950404530405055509986090550
4Patrik BerglundX100.00504595738450404530405055509582090540
5Lias AnderssonX100.00504595786050404530405055508471090530
6Ryan Kuffner (R)X100.00504595776550404530405055508774090530
7Mason GeertsenX100.00504595728250404530405055508875090580
8Brandt Clarke (R)X100.00504587795757404930485061508068090580
9Egor YakovlevX100.00504595775650404530405055509279090570
10Joshua Jacobs (R)X100.00504595766550404530405055508774090570
Rayé
MOYENNE D'ÉQUIPE100.0053459476705541463041515852887609056
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
1Alexander Salak100.0070404084656565656565659081090590
2Andrey Makarov100.0070404081656565656565658474090580
Rayé
MOYENNE D'ÉQUIPE100.007040408365656565656565877809059
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)RW17111021340211680153913.75%726015.35112515000060211.11%92113001.6100000222
2Benoit-Olivier GroulxGrizzlies (EDM)C164101446016225815286.90%1329818.67011515000071041.05%3631410000.9400000121
3Patrik BerglundGrizzlies (EDM)LW176713200102425121524.00%824314.30000016000001055.56%18103001.0700000011
4Brandt ClarkeGrizzlies (EDM)D1127938081326567.69%1327424.92123321000017000.00%0213000.6600000000
5Morgan GeekieEdmonton OilersC52681001114358135.71%611322.63112712011360060.18%11373001.4111000001
6Brian BoyleGrizzlies (EDM)LW1652732013192261422.73%1031719.85112436000230036.36%1166000.4400000010
7Ryan KuffnerGrizzlies (EDM)RW17437-40021152911813.79%425515.0000004000002027.27%1153000.5500000201
8Jack QuinnEdmonton OilersRW642612013134412199.09%213722.851015130000101037.04%27144000.8811000100
9Joshua JacobsGrizzlies (EDM)D17055-56051510340.00%930517.96000016000015000.00%049000.3300000000
10Lias AnderssonGrizzlies (EDM)C17134-4601618204135.00%323814.0500011000000034.68%17365000.3300000001
11Jake CheliosEdmonton OilersD5134-3202151020.00%47615.400000100000000.00%031001.0400000010
12Urho VaakanainenEdmonton OilersD5134320111474814.29%812825.7710111200008000.00%007000.6200000000
13J.C. BeaudinEdmonton OilersC5123-1006563816.67%27815.6700000000000031.25%1642000.7700000000
14Mason GeertsenGrizzlies (EDM)D15112-500111494511.11%1126817.8700001300019000.00%0710000.1500000000
15Egor YakovlevGrizzlies (EDM)D170001403117340.00%723613.940000100003000.00%035000.0000000001
Stats d'équipe Total ou en Moyenne1864364107-142016721438310618411.23%107323317.386612311830116895241.84%74110694000.6622000678
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 BishopEdmonton Oilers52210.8764.15304002117089000.667350000
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
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
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
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
Vasily PodkolzinGrizzlies (EDM)RW222001-06-24No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,200,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1227.92200 Lbs6 ft21.75979,167$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
2Patrik BerglundBenoit-Olivier GroulxVasily Podkolzin30122
3Lias AnderssonRyan Kuffner25122
4Benoit-Olivier Groulx10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Mason GeertsenJoshua Jacobs30122
3Egor Yakovlev25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Patrik BerglundBenoit-Olivier GroulxVasily Podkolzin45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Mason GeertsenJoshua Jacobs45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Benoit-Olivier GroulxVasily Podkolzin45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Mason GeertsenJoshua Jacobs45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Mason GeertsenJoshua Jacobs45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Benoit-Olivier GroulxVasily Podkolzin45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Mason GeertsenJoshua Jacobs45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Kuffner, Lias Andersson, Ryan Kuffner, Lias Andersson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Egor Yakovlev, Mason Geertsen, Joshua JacobsEgor YakovlevMason Geertsen, Joshua Jacobs
Tirs de Pénalité
, , Benoit-Olivier Groulx, Vasily Podkolzin,
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
1Farmers21000100541110000003121000010023-130.750591400112527246115196197557276383133.33%3233.33%013030942.07%15235143.30%12229141.92%389250348148290138
2Marlies21100000611-5110000005411010000017-620.5006121800112527263115196197571231226000.00%6183.33%013030942.07%15235143.30%12229141.92%389250348148290138
3Marmots302000101214-21000001054120200000710-320.3331217290011252728511519619751033818647114.29%9277.78%013030942.07%15235143.30%12229141.92%389250348148290138
4Rockets32100000151052200000011561010000045-140.667152742001125272951151961975952219478225.00%7357.14%113030942.07%15235143.30%12229141.92%389250348148290138
5Scorpions11000000431110000004310000000000021.0004711001125272391151961975208214400.00%10100.00%013030942.07%15235143.30%12229141.92%389250348148290138
6Smirnoff Ice1010000046-2000000000001010000046-200.00047110011252723511519619753510614000.00%3233.33%013030942.07%15235143.30%12229141.92%389250348148290138
7TigersCats21000100660110000005411000010012-130.75061117001125272601151961975762514335120.00%70100.00%013030942.07%15235143.30%12229141.92%389250348148290138
Total1776003106466-287000010392316906003002543-18190.5596411217600112527251111519619755431809528837821.62%451371.11%213030942.07%15235143.30%12229141.92%389250348148290138
9Warriors210001001073110000006241000010045-130.75010182800112527270115196197553148388112.50%40100.00%113030942.07%15235143.30%12229141.92%389250348148290138
10Xpress1010000025-3000000000001010000025-300.0002460011252721811519619753313101422100.00%5340.00%013030942.07%15235143.30%12229141.92%389250348148290138
_Since Last GM Reset1776003106466-287000010392316906003002543-18190.5596411217600112527251111519619755431809528837821.62%451371.11%213030942.07%15235143.30%12229141.92%389250348148290138
_Vs Conference1666003106063-376000010352015906003002543-18170.5316010516500112527247211519619755231729327433824.24%441370.45%213030942.07%15235143.30%12229141.92%389250348148290138
_Vs Division1565003105858076000010352015805003002338-15170.5675810115900112527245411519619754901598326031619.35%391074.36%213030942.07%15235143.30%12229141.92%389250348148290138

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1719L1641121765115431809528800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
177603106466
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
87000103923
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
90603002543
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
37821.62%451371.11%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
11519619751125272
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
13030942.07%15235143.30%12229141.92%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
389250348148290138


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 - 2024-04-18130Grizzlies4Rockets5LSommaire du Match
14 - 2024-04-19146Farmers1Grizzlies3WSommaire du Match
15 - 2024-04-20154Grizzlies1TigersCats2LXSommaire du Match
17 - 2024-04-22176Marlies4Grizzlies5WSommaire du Match
18 - 2024-04-23183Grizzlies4Smirnoff Ice6LSommaire du Match
20 - 2024-04-25204Scorpions3Grizzlies4WSommaire du Match
21 - 2024-04-26225Grizzlies4Marmots6LSommaire du Match
22 - 2024-04-27234Rockets2Grizzlies6WSommaire du Match
24 - 2024-04-29250Grizzlies2Xpress5LSommaire du Match
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
Assistance8,7885,125
Assistance PCT54.93%64.06%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 1739 - 57.97% 104,902$839,214$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
644,382$ 1,175,000$ 1,175,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 325,801$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,147,052$ 89 23,673$ 2,106,897$




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
471776003106466-287000010392316906003002543-18196411217600112527251111519619755431809528837821.62%451371.11%213030942.07%15235143.30%12229141.92%389250348148290138
Total Saison Régulière18172700171174561579-189044350533028827018912835012844273309-3620756110071568411012292073141299141506166687443714641702242851510420.19%54714972.76%181347278748.33%1534300051.13%1423279450.93%502136763426129425111260