Association Québécoise de Hockey Simulé - Goons 

Goons

GP: 38 | W: 16 | L: 16 | OTL: 6 | P: 38
GF: 133 | GA: 152 | PP%: 26.72% | PK%: 76.26%
DG: Stephane Morin | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #586 vs Predateurs
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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
1Reese Johnson (R)X100.00995177786455694983435670508472090630
2Ryan ReavesX100.00996679758250885330515655669683090620
3Ross JohnstonX100.00855444739150404930485055508976090570
4Darren HelmX100.00644590776250404530405070509683090560
5Joel Teasdale (R)X100.00504595747254404730445060508472090550
6John HaydenX100.00504885748350404930405855508875090550
7Kyle CriscuoloX100.00504595794766404730405461509080090550
8Aidan McDonough (R)X100.00534592776750404730405457508370090540
9Joseph CramarossaX100.00544590776350404730405458509077090540
10Linus Sandin (R)X100.00504595747350404530405055508774090530
11James Hamblin (R)X100.00504592794850404530405061508370090530
12Justin BraunX100.00674885756762624730435079509685090650
13Filip Roos (R)X100.00614590806468405230485670668474090630
14Simon Edvinsson (R)X100.00584579757771405130406263658071090620
15Parker Wotherspoon (R)X100.00544590775856404730445064508573090590
16Matthew Kessel (R)X100.00504595756763404530405062508271090580
Rayé
1Nicolas Aube-Kubel (R)X100.00974869786957645430525665668674090620
2Pavol Regenda (R)X100.00544590768053405130485467658371090580
3Mike HardmanX79.87744595757251404530405064508471090560
4Jeff Malott (R)X100.00504595767350404530405055508774090540
5Marco ScandellaX98.00774587757374405030445688659385090680
6Cole McWard (R)X100.00514595775959404830405660508169090580
7Brandon GormleyX100.00504595766350404530405055509178090570
8Santeri Hatakka (R)X100.00504595775850404530405055508269090560
MOYENNE D'ÉQUIPE99.0862478776685645483243536354877509058
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
1Joey Daccord (R)100.0070506086707070707070708674090620
2Eetu Makiniemi (R)100.0070506083707070707070708370090610
Rayé
1Christopher Gibson100.0070404091656565656565658875090590
MOYENNE D'ÉQUIPE100.007047538768686868686868867309061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin St-Louis72717472827976CAN4822,000,000$


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
1Reese JohnsonGoons (QUE)C32162743-13315727894425117.02%1573422.9418918751125832263.93%8401527001.1712003722
2Nicolas Aube-KubelGoons (QUE)LW30251136045156227128368819.53%1258719.59841225771018714039.47%763412001.2300021305
3Ryan ReavesGoons (QUE)RW33151530-437254438128416711.72%1263319.20461027770003601247.54%613016000.9502202043
4Marcus BjorkQuebec NordiquesD3242529-15915634013753592.92%4780725.231672790011870000.00%03745000.7211100012
5Pavol RegendaGoons (QUE)C37121628-91004265114336910.53%1667718.3047115690002723045.72%4792921000.8312000210
6Mike HardmanGoons (QUE)LW37121123-940463063204219.05%962516.905279681011251146.67%30818010.7400000212
7Joel TeasdaleGoons (QUE)RW3881422-1620313169304011.59%1860916.033691373000001050.00%301815000.7200000011
8Ross JohnstonGoons (QUE)C3341317744069315327427.55%1553616.250002150000290142.14%3181120000.6301000300
9John HaydenGoons (QUE)LW3710414-660352875254413.33%1758215.741125130003380048.00%502514000.4800000121
10Marco ScandellaGoons (QUE)D3411213-2111549456624321.52%4589026.201569920001103000.00%01253000.2900001000
11Justin BraunGoons (QUE)D3811011-1526036474619162.17%5378620.7002216400027900100.00%1639000.2800000000
12Simon EdvinssonGoons (QUE)D37281081752228379105.41%1955915.13000215000015000.00%11029000.3600001101
13Aidan McDonoughGoons (QUE)RW36729120191957194112.28%1050514.0410129000001054.55%111116000.3600000021
14Filip RoosGoons (QUE)D35268-52015374614224.35%2666418.97213752000172000.00%01744000.2400000010
15Darren HelmGoons (QUE)C28167-12202827269183.85%330811.0000017000070049.06%159614000.4500000011
16Kyle CriscuoloGoons (QUE)C15134100101075314.29%11369.0702202000151044.23%52111000.5900000010
17Jeff MalottGoons (QUE)RW51233002253520.00%26913.870000000000000.00%022000.8600000000
18James HamblinGoons (QUE)LW30213-60071321679.52%22538.4500001011070053.33%1573000.2400000000
19Matthew KesselGoons (QUE)D130332004103220.00%1019314.8800000000011000.00%046000.3100000000
20Parker WotherspoonGoons (QUE)D29123875122382412.50%1844115.2100003000032000.00%0322000.1400001000
21Linus SandinGoons (QUE)RW7202-2005333666.67%1649.1400002000000050.00%242000.6200000000
22Joseph CramarossaGoons (QUE)LW1111212095132107.69%211710.6800002000050066.67%1234000.3400000000
23Santeri HatakkaGoons (QUE)D1000000010000.00%01212.770000100001000.00%000000.0000000000
24Cole McWardGoons (QUE)D1000-200001000.00%01111.620000000000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne629128192320-9234175682638120042467810.67%3531080717.183150811538173363579314652.74%2137293434010.5938329191719
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
1Joey DaccordGoons (QUE)28101440.8734.04161900109859445120.83362712030
2Eetu MakiniemiGoons (QUE)136220.8773.556770040325173100.00001126011
Stats d'équipe Total ou en Moyenne41161660.8743.892296001491184618220.83363838041


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
Aidan McDonoughGoons (QUE)RW231999-11-06Yes190 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Brandon GormleyGoons (QUE)D301992-10-12No196 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm775,000$0$0$No
Christopher GibsonGoons (QUE)G291993-10-12No217 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm750,000$0$0$No
Cole McWardGoons (QUE)D222001-06-09Yes192 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Darren HelmGoons (QUE)C361987-01-21No192 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Eetu MakiniemiGoons (QUE)G241999-04-19Yes184 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Filip RoosGoons (QUE)D241999-01-05Yes190 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm825,000$0$0$No
James HamblinGoons (QUE)LW241999-04-27Yes176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Jeff MalottGoons (QUE)RW271996-08-07Yes201 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm1,333,000$0$0$No
Joel TeasdaleGoons (QUE)RW241999-03-11Yes212 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Joey DaccordGoons (QUE)G271996-08-19Yes201 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
John HaydenGoons (QUE)LW281995-02-14No223 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Joseph CramarossaGoons (QUE)LW301992-10-26No190 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm750,000$0$0$No
Justin BraunGoons (QUE)D361987-02-10No205 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm2,000,000$0$0$No
Kyle CriscuoloGoons (QUE)C311992-05-05No175 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm775,000$0$0$No
Linus SandinGoons (QUE)RW271996-05-19Yes209 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Marco ScandellaGoons (QUE)D331990-02-23No212 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm3,750,000$0$0$No
Matthew KesselGoons (QUE)D232000-06-23Yes205 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Mike Hardman (Sur la Masse Salariale)Goons (QUE)LW241999-02-05No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm875,000$0$0$Yes
Nicolas Aube-KubelGoons (QUE)LW271996-05-10Yes207 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm1,000,000$0$0$No
Parker WotherspoonGoons (QUE)D261997-08-24Yes190 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Pavol RegendaGoons (QUE)C231999-12-07Yes212 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Reese JohnsonGoons (QUE)C251998-07-10Yes193 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm950,000$0$0$No
Ross JohnstonGoons (QUE)C291994-02-18No230 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm1,279,550$0$0$No
Ryan ReavesGoons (QUE)RW361987-01-20No225 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm5,000,000$0$0$No
Santeri HatakkaGoons (QUE)D222001-01-15Yes191 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Simon EdvinssonGoons (QUE)D202003-02-05Yes209 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2727.04201 Lbs6 ft23.001,162,502$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenReese JohnsonRyan Reaves35122
2Joseph CramarossaRoss JohnstonJoel Teasdale30122
3James HamblinDarren HelmAidan McDonough25122
4Reese JohnsonKyle CriscuoloLinus Sandin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Braun35122
2Filip RoosSimon Edvinsson30122
3Parker WotherspoonMatthew Kessel25122
4Justin Braun10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenReese JohnsonRyan Reaves55122
2Joseph CramarossaRoss JohnstonJoel Teasdale45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Braun55122
2Filip RoosSimon Edvinsson45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Reese JohnsonRyan Reaves55122
2Ross JohnstonDarren Helm45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Braun55122
2Filip RoosSimon Edvinsson45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Reese Johnson55122Justin Braun55122
2Ryan Reaves45122Filip RoosSimon Edvinsson45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Reese JohnsonRyan Reaves55122
2Ross JohnstonDarren Helm45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Braun55122
2Filip RoosSimon Edvinsson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenReese JohnsonRyan ReavesJustin Braun
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenReese JohnsonRyan ReavesJustin Braun
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kyle Criscuolo, Aidan McDonough, James HamblinKyle Criscuolo, Aidan McDonoughJames Hamblin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Parker Wotherspoon, Matthew Kessel, Filip RoosParker WotherspoonMatthew Kessel, Filip Roos
Tirs de Pénalité
Reese Johnson, Ryan Reaves, Ross Johnston, Darren Helm, Joel Teasdale
Gardien
#1 : Joey Daccord, #2 : Eetu Makiniemi


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
1Bandits1000010023-1000000000001000010023-110.50023500185159636270450490192618922300.00%20100.00%042080352.30%41979053.04%33260255.15%679342932344685336
2Bayou20001001880100010004311000000145-130.750811190018515967927045049019551321497342.86%12466.67%042080352.30%41979053.04%33260255.15%679342932344685336
3CoolFm523000001817121100000752312000001112-140.4001829470018515961592704504901916743461167342.86%23865.22%042080352.30%41979053.04%33260255.15%679342932344685336
4Grizzlies21000100770110000004311000010034-130.750710170018515964427045049019571416303133.33%80100.00%042080352.30%41979053.04%33260255.15%679342932344685336
5Hunters42200000111101100000031231200000810-240.500111526001851596114270450490199026415019210.53%13192.31%042080352.30%41979053.04%33260255.15%679342932344685336
6Husky20100100512-71000010034-11010000028-610.2505914001851596762704504901956712529222.22%6350.00%042080352.30%41979053.04%33260255.15%679342932344685336
7Igloos31200000913-41010000057-22110000046-220.33391423001851596822704504901910232283410330.00%14564.29%042080352.30%41979053.04%33260255.15%679342932344685336
8Marmots11000000633110000006330000000000021.0006915001851596402704504901928132113266.67%110.00%042080352.30%41979053.04%33260255.15%679342932344685336
9Outlaws1010000015-4000000000001010000015-400.000123001851596292704504901933125164125.00%000.00%042080352.30%41979053.04%33260255.15%679342932344685336
10Rockets210001008711000010045-11100000042230.750812200018515966727045049019672221536116.67%8187.50%042080352.30%41979053.04%33260255.15%679342932344685336
11Snowbirds11000000532110000005320000000000021.0005914001851596282704504901944191095240.00%50100.00%042080352.30%41979053.04%33260255.15%679342932344685336
12Spartans1010000036-31010000036-30000000000000.0003580018515962327045049019345410100.00%20100.00%042080352.30%41979053.04%33260255.15%679342932344685336
13Supreme20001010972100010003211000001065141.000914230018515968227045049019812012363266.67%6183.33%042080352.30%41979053.04%33260255.15%679342932344685336
14Thugs10001000761100010007610000000000021.000713200018515963427045049019439272544100.00%6183.33%042080352.30%41979053.04%33260255.15%679342932344685336
15TigersCats32100000844220000007251010000012-140.66789170018515967927045049019823628578112.50%9188.89%142080352.30%41979053.04%33260255.15%679342932344685336
Total38111604511133152-191874043007364920412002116088-28380.50013320333620185159612222704504901911863653556991163126.72%1393376.26%342080352.30%41979053.04%33260255.15%679342932344685336
17Vandals1010000024-2000000000001010000024-200.0002461018515963327045049019258227200.00%10100.00%042080352.30%41979053.04%33260255.15%679342932344685336
18Vipers20200000916-71010000046-210100000510-500.0009132200185159680270450490197426382012325.00%9277.78%142080352.30%41979053.04%33260255.15%679342932344685336
19Xpress402011001520-52000110088020200000712-530.3751522371018515961372704504901912242338210110.00%14564.29%142080352.30%41979053.04%33260255.15%679342932344685336
_Since Last GM Reset38111604511133152-191874043007364920412002116088-28380.50013320333620185159612222704504901911863653556991163126.72%1393376.26%342080352.30%41979053.04%33260255.15%679342932344685336
_Vs Conference271011015008997-8126201300473891549002004259-17270.5008913222110185159683427045049019797253236507781620.51%982574.49%242080352.30%41979053.04%33260255.15%679342932344685336
_Vs Division19510013006076-1672201200262511238001003451-17150.395609215210185159660427045049019563168169356581118.97%722269.44%142080352.30%41979053.04%33260255.15%679342932344685336

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3838L31332033361222118636535569920
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3811164511133152
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
187443007364
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2041202116088
Derniers 10 Matchs
WLOTWOTL SOWSOL
152011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1163126.72%1393376.26%3
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
270450490191851596
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
42080352.30%41979053.04%33260255.15%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
679342932344685336


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 - 2024-04-061Goons1CoolFm3LSommaire du Match
2 - 2024-04-0720CoolFm3Goons1LSommaire du Match
4 - 2024-04-0938TigersCats1Goons3WSommaire du Match
6 - 2024-04-1150Goons2Hunters3LSommaire du Match
7 - 2024-04-1268Goons1Igloos4LSommaire du Match
8 - 2024-04-1381Goons4Hunters3WSommaire du Match
9 - 2024-04-1491Igloos7Goons5LSommaire du Match
11 - 2024-04-16111Xpress4Goons5WXSommaire du Match
12 - 2024-04-17129Goons2Bandits3LXSommaire du Match
14 - 2024-04-19142Hunters1Goons3WSommaire du Match
16 - 2024-04-21162Husky4Goons3LXSommaire du Match
17 - 2024-04-22171Goons2Husky8LSommaire du Match
18 - 2024-04-23190Goons6CoolFm3WSommaire du Match
19 - 2024-04-24202Goons4Xpress7LSommaire du Match
20 - 2024-04-25215Spartans6Goons3LSommaire du Match
22 - 2024-04-27233CoolFm2Goons6WSommaire du Match
23 - 2024-04-28247Goons5Vipers10LSommaire du Match
25 - 2024-04-30267Xpress4Goons3LXSommaire du Match
27 - 2024-05-02285Bayou3Goons4WXSommaire du Match
28 - 2024-05-03297Goons2Hunters4LSommaire du Match
30 - 2024-05-05315Goons3Igloos2WSommaire du Match
31 - 2024-05-06326Rockets5Goons4LXSommaire du Match
32 - 2024-05-07345Goons2Vandals4LSommaire du Match
34 - 2024-05-09357Grizzlies3Goons4WSommaire du Match
35 - 2024-05-10371Goons3Grizzlies4LXSommaire du Match
37 - 2024-05-12389Goons4Rockets2WSommaire du Match
38 - 2024-05-13401Snowbirds3Goons5WSommaire du Match
40 - 2024-05-15419Marmots3Goons6WSommaire du Match
42 - 2024-05-17438Goons4CoolFm6LSommaire du Match
43 - 2024-05-18451TigersCats1Goons4WSommaire du Match
44 - 2024-05-19472Thugs6Goons7WXSommaire du Match
45 - 2024-05-20484Goons1TigersCats2LSommaire du Match
47 - 2024-05-22501Goons6Supreme5WXXSommaire du Match
48 - 2024-05-23514Goons4Bayou5LXXSommaire du Match
49 - 2024-05-24524Supreme2Goons3WXSommaire du Match
51 - 2024-05-26541Goons1Outlaws5LSommaire du Match
52 - 2024-05-27556Vipers6Goons4LSommaire du Match
53 - 2024-05-28569Goons3Xpress5LSommaire du Match
55 - 2024-05-30586Predateurs-Goons-
56 - 2024-05-31599Goons-Predateurs-
58 - 2024-06-02615Warriors-Goons-
59 - 2024-06-03631Goons-Raptors-
61 - 2024-06-05646Barracudas-Goons-
62 - 2024-06-06661Goons-Scorpions-
63 - 2024-06-07674Goons-Thugs-
64 - 2024-06-08681Wolves-Goons-
67 - 2024-06-11708Chiwawa-Goons-
68 - 2024-06-12729Marlies-Goons-
69 - 2024-06-13742Goons-Marlies-
71 - 2024-06-15763Saguenéens-Goons-
72 - 2024-06-16774Goons-Smirnoff Ice-
73 - 2024-06-17788Goons-Bandits-
74 - 2024-06-18800Goons-Marmots-
75 - 2024-06-19810Vandals-Goons-
77 - 2024-06-21833Smirnoff Ice-Goons-
79 - 2024-06-23855Hunters-Goons-
80 - 2024-06-24871Goons-Wolves-
82 - 2024-06-26886Raptors-Goons-
83 - 2024-06-27899Goons-Farmers-
84 - 2024-06-28910Goons-Saguenéens-
86 - 2024-06-30926Scorpions-Goons-
88 - 2024-07-02949Outlaws-Goons-
89 - 2024-07-03962Goons-Warriors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04975Goons-Barracudas-
91 - 2024-07-05987Farmers-Goons-
92 - 2024-07-06998Goons-Chiwawa-
95 - 2024-07-091021Twins-Goons-
96 - 2024-07-101041Husky-Goons-
99 - 2024-07-131068Igloos-Goons-
100 - 2024-07-141076Goons-Twins-
102 - 2024-07-161090Goons-Snowbirds-
105 - 2024-07-191110CoolFm-Goons-
106 - 2024-07-201129Goons-Spartans-
107 - 2024-07-211137Bandits-Goons-
110 - 2024-07-241156Bandits-Goons-
111 - 2024-07-251168Goons-Husky-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5025
Assistance25,63711,754
Assistance PCT71.21%65.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
20 2077 - 69.24% 105,047$1,890,840$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,471,638$ 3,138,755$ 3,063,755$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,510,589$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,100,933$ 59 45,476$ 2,683,084$




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
4582333004564309311-241141703223135153-18411913013411741581695309490799106212211513245463095085557249880855914852527429.37%2095872.25%9867157954.91%861161353.38%759134256.56%144375021277141411695
4682293307634326333-741141306422171165641152001212155168-1388326526852316612712316261164697897340244981872515662777828.16%2706974.44%51000172158.11%910163755.59%728130555.79%150579920607131412704
4738111604511133152-191874043007364920412002116088-283813320333620185159612222704504901911863653556991163126.72%1393376.26%342080352.30%41979053.04%33260255.15%679342932344685336
Total Saison Régulière202737901516109768796-281003534013945379382-3102384502764389414-252217681219198761146300297356287154623782318116613319911639375064518328.37%61816074.11%172287410355.74%2190404054.21%1819324955.99%362918915120177235091736
Séries
45624000002733-6312000001618-2312000001115-4427467320217711893494601212775312017952.94%24866.67%05311844.92%7014448.61%5810853.70%115581275911857
Total Séries624000002733-6312000001618-2312000001115-4427467320217711893494601212775312017952.94%24866.67%05311844.92%7014448.61%5810853.70%115581275911857