Association Québécoise de Hockey Simulé - Twins 

Twins

GP: 38 | W: 16 | L: 20 | OTL: 2 | P: 34
GF: 126 | GA: 142 | PP%: 26.13% | PK%: 67.24%
DG: David Hardy | Morale : 90 | Moyenne d'Équipe : 55
Prochain matchs #588 vs Warriors
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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
1Jesse YlonenX100.00544595846267456330626358858373090640
2Austin WagnerX100.00674595776561404930445462508574090570
3Andreas JohnssonX100.00534587785967405130525063658878090570
4Otto Koivula (R)X100.00524590738850404930485055508471090550
5Marco Kasper (R)X100.00504595785975404530405061507971090550
6Tyler Angle (R)X100.00504595804557404730405465508270090540
7Victor RaskX100.00504595767050404530405055509077090540
8Scott ReedyX100.00504595757350404530405055508471090530
9Alan QuineX100.00504595756850404530405055509077090530
10Owen Beck (R)X100.00504595775950404530405060507966090530
11Lucas WallmarkX100.00504595795550404530405055508875090530
12Nicholas BaptisteX100.00504595757150404530405055508875090530
13Markus NiemelainenX100.00994590776850404530405059508471090600
14Dillon HeatheringtonX100.00504595747650404530405058508774090580
15Sean Day (R)X100.00504595737650404530405055508572090570
16David Farrance (R)X100.00504595775350404530405055508471090560
17Olli Juolevi (R)X100.00504595785650404530405055508572090560
Rayé
1Connor BunnamanX100.00504595757250404530405055508572090530
2Janne KuokkanenX100.00504595776550404530405055508572090530
3Ivan Chekhovich (R)X100.00504595785550404530405055508471090520
4Valtteri Puustinen (R)X100.00504595785250404530405055508471090520
MOYENNE D'ÉQUIPE100.0054459477645440473042515752857309055
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
1Michael Dipietro (R)100.0070404086656565656565658269090580
Rayé
MOYENNE D'ÉQUIPE100.007040408665656565656565826909058
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller65656565927456CAN5841,000,000$


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
1Marco KasperTwins (LAK)LW388412-200292457164014.04%1558015.294047380001261032.65%491317000.4101000232
2Tyler AngleTwins (LAK)C226612-240182854173311.11%1732014.56145524000000035.98%328813000.7501000122
3Andreas JohnssonTwins (LAK)RW97512-1801074482615.91%620122.422026240000141144.12%34128001.1901000211
4Scott ReedyTwins (LAK)C38617-95517353451917.65%551313.5200003000011040.65%31089000.2700001230
5Austin WagnerTwins (LAK)LW86172001333210818.75%116120.221013220000171040.00%1594000.8701000200
6Victor RaskTwins (LAK)C100771201117118100.00%318918.980221260000120041.90%21034000.7401000000
7Nicholas BaptisteTwins (LAK)RW13246-275714187911.11%619114.76033321000001050.00%1025000.6301001002
8Alan QuineTwins (LAK)LW12033-940131114750.00%418515.4800000000000040.00%595000.3200000000
9Dillon HeatheringtonTwins (LAK)D38033-12951625241270.00%2962716.50000029000027000.00%0332000.1000001115
10David FarranceTwins (LAK)D38011-5202107430.00%1350713.350000700002000.00%0012000.0400000142
11Olli JuoleviTwins (LAK)D13011-420456000.00%417713.620000000009000.00%028000.1100000000
12Owen BeckTwins (LAK)C12011000221030.00%0534.470000300000000.00%502000.3700000202
13Janne KuokkanenTwins (LAK)LW4011-300225030.00%05614.1200001000020050.00%223000.3500000000
14Jamie DrysdaleLos Angeles KingsD2000200020000.00%12311.940000200000000.00%010000.0000000000
15Markus NiemelainenTwins (LAK)D7000-26015109100.00%815121.6400012100008000.00%028000.0000000000
16Sean DayTwins (LAK)D38000-1215514307770.00%1961116.10000027000023000.00%0332000.0000010123
17Lucas WallmarkTwins (LAK)C13000-100241000.00%1564.3300000000000051.85%2702000.0000000001
Stats d'équipe Total ou en Moyenne315353873-59642017522932410217310.80%132461014.6489172625500011475139.30%99577164000.3206013141620
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
1Joel HoferLos Angeles Kings105410.8823.725640135297157010.8336100110
2Michael DipietroTwins (LAK)40300.8184.0420800147742000.0000313020
Stats d'équipe Total ou en Moyenne145710.8693.807730149374199010.83361313130


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
Alan QuineTwins (LAK)LW301993-02-25No203 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm700,000$0$0$No
Andreas JohnssonTwins (LAK)RW281994-11-21No195 Lbs5 ft10NoNoNo4Sans RestrictionPro & Farm1,000,000$0$0$No
Austin WagnerTwins (LAK)LW261997-06-23No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Connor BunnamanTwins (LAK)C251998-04-16No207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
David FarranceTwins (LAK)D241999-06-23Yes189 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Dillon HeatheringtonTwins (LAK)D281995-05-09No215 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Ivan ChekhovichTwins (LAK)RW241999-01-04Yes185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm900,000$0$0$No
Janne KuokkanenTwins (LAK)LW251998-05-25No193 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Jesse YlonenTwins (LAK)RW231999-10-03No188 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm900,000$0$0$No
Lucas WallmarkTwins (LAK)C281995-09-05No178 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm850,000$0$0$No
Marco KasperTwins (LAK)LW192004-04-08Yes183 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm1,200,000$0$0$No
Markus NiemelainenTwins (LAK)D251998-06-08No190 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Michael DipietroTwins (LAK)G241999-06-09Yes200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Nicholas BaptisteTwins (LAK)RW271995-10-12No205 Lbs6 ft1NoNoNo5Avec RestrictionPro & Farm775,000$0$0$No
Olli JuoleviTwins (LAK)D251998-05-05Yes182 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm900,000$0$0$No
Otto KoivulaTwins (LAK)LW251998-09-01Yes225 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Owen BeckTwins (LAK)C192004-02-03Yes191 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm950,000$0$0$No
Scott ReedyTwins (LAK)C241999-04-04No205 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Sean DayTwins (LAK)D251998-01-09Yes218 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Tyler AngleTwins (LAK)C222000-09-30Yes166 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Valtteri PuustinenTwins (LAK)RW241999-06-04Yes183 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Victor RaskTwins (LAK)C301993-03-01No199 Lbs6 ft2NoNoNo5Sans RestrictionPro & Farm775,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.00195 Lbs6 ft13.05860,227$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
135122
2Marco Kasper30122
3Scott Reedy25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Dillon HeatheringtonSean Day30122
3David Farrance25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Marco Kasper45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Marco Kasper45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Dillon HeatheringtonSean Day45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Marco Kasper45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Scott Reedy, , Scott Reedy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Farrance, , Dillon HeatheringtonDavid Farrance, Dillon Heatherington
Tirs de Pénalité
, , Marco Kasper, ,
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
1Bandits1010000029-7000000000001010000029-700.00023500345437127213314308944103512200.00%10550.00%027456748.32%27864143.37%28060046.67%962681797273530264
2Barracudas30300000612-61010000023-12020000049-500.000612180034543714321331430895816153611218.18%5180.00%027456748.32%27864143.37%28060046.67%962681797273530264
3Bayou20200000411-71010000016-51010000035-200.00047110034543715021331430895112446600.00%20100.00%027456748.32%27864143.37%28060046.67%962681797273530264
4Chiwawa1010000046-2000000000001010000046-200.0004812003454371172133143089371114183266.67%7185.71%027456748.32%27864143.37%28060046.67%962681797273530264
5CoolFm211000001046110000007071010000034-120.500101929013454371542133143089441321295360.00%3233.33%127456748.32%27864143.37%28060046.67%962681797273530264
6Farmers20200000713-61010000035-21010000048-400.00071320003454371412133143089682334214125.00%12558.33%027456748.32%27864143.37%28060046.67%962681797273530264
7Grizzlies10001000211100010002110000000000021.000246003454371262133143089194411000.00%20100.00%027456748.32%27864143.37%28060046.67%962681797273530264
8Hunters11000000312000000000001100000031221.00036900345437120213314308916411158112.50%30100.00%027456748.32%27864143.37%28060046.67%962681797273530264
9Husky11000000431110000004310000000000021.0004812003454371202133143089278218500.00%4250.00%127456748.32%27864143.37%28060046.67%962681797273530264
10Igloos1010000024-21010000024-20000000000000.0002350034543711121331430891638153133.33%4250.00%027456748.32%27864143.37%28060046.67%962681797273530264
11Marlies22000000633110000003211100000031241.000611170034543714821331430892388244125.00%40100.00%027456748.32%27864143.37%28060046.67%962681797273530264
12Marmots11000000835000000000001100000083521.0008162400345437124213314308923452122100.00%000.00%027456748.32%27864143.37%28060046.67%962681797273530264
13Outlaws321000001082211000006511100000043140.6671014240134543716421331430898629124410440.00%7271.43%027456748.32%27864143.37%28060046.67%962681797273530264
14Predateurs330000001385110000006512200000073461.00013233600345437174213314308910337315111218.18%13284.62%027456748.32%27864143.37%28060046.67%962681797273530264
15Raptors1010000046-21010000046-20000000000000.00047110034543712121331430893482184125.00%10100.00%127456748.32%27864143.37%28060046.67%962681797273530264
16Saguenéens1000010023-1000000000001000010023-110.50024600345437116213314308935168182150.00%4175.00%027456748.32%27864143.37%28060046.67%962681797273530264
17Smirnoff Ice1010000046-2000000000001010000046-200.00048120034543712021331430893766133133.33%330.00%027456748.32%27864143.37%28060046.67%962681797273530264
18Supreme11000000422110000004220000000000021.000481200345437129213314308935847000.00%2150.00%027456748.32%27864143.37%28060046.67%962681797273530264
19Thugs1010000027-51010000027-50000000000000.00024600345437125213314308933172513400.00%5260.00%027456748.32%27864143.37%28060046.67%962681797273530264
Total38152001101126142-1618710010005862-420810001016880-12340.447126231357223454371838213314308910013013335401112926.13%1163867.24%327456748.32%27864143.37%28060046.67%962681797273530264
21Vandals22000000945110000005231100000042241.000916250034543715521331430895411143111100.00%7357.14%027456748.32%27864143.37%28060046.67%962681797273530264
22Vipers403000011319-62020000058-320100001811-310.1251325381034543719121331430899529305814535.71%10460.00%027456748.32%27864143.37%28060046.67%962681797273530264
23Wolves2110000056-1000000000002110000056-120.500581310345437137213314308936161922800.00%7185.71%027456748.32%27864143.37%28060046.67%962681797273530264
24Xpress1010000023-11010000023-10000000000000.0002460034543712521331430892782911100.00%110.00%027456748.32%27864143.37%28060046.67%962681797273530264
_Since Last GM Reset38152001101126142-1618710010005862-420810001016880-12340.447126231357223454371838213314308910013013335401112926.13%1163867.24%327456748.32%27864143.37%28060046.67%962681797273530264
_Vs Conference24913001017692-161147000003544-91356001014148-7200.417761362122134543715222133143089657210178362741824.32%701874.29%127456748.32%27864143.37%28060046.67%962681797273530264
_Vs Division19810000016068-8835000002529-41155000013539-4170.447601051652134543714142133143089483150125288611422.95%511374.51%027456748.32%27864143.37%28060046.67%962681797273530264

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3834W1126231357838100130133354022
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3815201101126142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1871010005862
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2081001016880
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
1112926.13%1163867.24%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
21331430893454371
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
27456748.32%27864143.37%28060046.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
962681797273530264


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 - 2024-04-066Twins3Bayou5LSommaire du Match
3 - 2024-04-0826Outlaws5Twins2LSommaire du Match
4 - 2024-04-0939Twins2Wolves4LSommaire du Match
6 - 2024-04-1148Twins4Vipers5LXXSommaire du Match
7 - 2024-04-1261Bayou6Twins1LSommaire du Match
9 - 2024-04-1484Outlaws0Twins4WSommaire du Match
10 - 2024-04-15102Predateurs5Twins6WSommaire du Match
11 - 2024-04-16105Twins4Outlaws3WSommaire du Match
12 - 2024-04-17121Twins4Vandals2WSommaire du Match
13 - 2024-04-18133Twins3Predateurs2WSommaire du Match
15 - 2024-04-20151Barracudas3Twins2LSommaire du Match
16 - 2024-04-21170Twins1Barracudas4LSommaire du Match
17 - 2024-04-22178Twins4Farmers8LSommaire du Match
18 - 2024-04-23186Vandals2Twins5WSommaire du Match
21 - 2024-04-26216Vipers4Twins2LSommaire du Match
23 - 2024-04-28239Xpress3Twins2LSommaire du Match
24 - 2024-04-29249Twins3CoolFm4LSommaire du Match
25 - 2024-04-30262Twins2Bandits9LSommaire du Match
26 - 2024-05-01279Vipers4Twins3LSommaire du Match
29 - 2024-05-04301Thugs7Twins2LSommaire du Match
30 - 2024-05-05313Twins3Barracudas5LSommaire du Match
31 - 2024-05-06330Grizzlies1Twins2WXSommaire du Match
32 - 2024-05-07346Twins3Marlies1WSommaire du Match
34 - 2024-05-09356Marlies2Twins3WSommaire du Match
35 - 2024-05-10378Twins4Smirnoff Ice6LSommaire du Match
37 - 2024-05-12392Supreme2Twins4WSommaire du Match
38 - 2024-05-13403Twins4Vipers6LSommaire du Match
40 - 2024-05-15424CoolFm0Twins7WSommaire du Match
42 - 2024-05-17442Farmers5Twins3LSommaire du Match
43 - 2024-05-18458Twins4Predateurs1WSommaire du Match
44 - 2024-05-19463Twins4Chiwawa6LSommaire du Match
46 - 2024-05-21486Igloos4Twins2LSommaire du Match
47 - 2024-05-22503Twins8Marmots3WSommaire du Match
48 - 2024-05-23515Twins3Hunters1WSommaire du Match
49 - 2024-05-24523Raptors6Twins4LSommaire du Match
51 - 2024-05-26544Husky3Twins4WSommaire du Match
52 - 2024-05-27562Twins2Saguenéens3LXSommaire du Match
53 - 2024-05-28573Twins3Wolves2WSommaire du Match
55 - 2024-05-30588Warriors-Twins-
56 - 2024-05-31598Twins-Spartans-
58 - 2024-06-02620TigersCats-Twins-
60 - 2024-06-04632Twins-Igloos-
61 - 2024-06-05648Bayou-Twins-
63 - 2024-06-07672Twins-TigersCats-
64 - 2024-06-08679Predateurs-Twins-
66 - 2024-06-10697Twins-Husky-
67 - 2024-06-11711Scorpions-Twins-
69 - 2024-06-13733Snowbirds-Twins-
70 - 2024-06-14749Twins-Warriors-
71 - 2024-06-15760Wolves-Twins-
72 - 2024-06-16781Twins-Vandals-
73 - 2024-06-17794Smirnoff Ice-Twins-
74 - 2024-06-18806Twins-Snowbirds-
76 - 2024-06-20827Outlaws-Twins-
77 - 2024-06-21843Twins-Rockets-
78 - 2024-06-22852Twins-Xpress-
79 - 2024-06-23867Spartans-Twins-
81 - 2024-06-25883Twins-Outlaws-
83 - 2024-06-27895Chiwawa-Twins-
85 - 2024-06-29919Barracudas-Twins-
87 - 2024-07-01935Twins-Supreme-
88 - 2024-07-02951Twins-Thugs-
89 - 2024-07-03959Wolves-Twins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05979Marmots-Twins-
92 - 2024-07-06999Bandits-Twins-
94 - 2024-07-081020Twins-Grizzlies-
95 - 2024-07-091021Twins-Goons-
96 - 2024-07-101042Hunters-Twins-
99 - 2024-07-131061Twins-Farmers-
100 - 2024-07-141076Goons-Twins-
103 - 2024-07-171100Saguenéens-Twins-
105 - 2024-07-191120Rockets-Twins-
106 - 2024-07-201128Twins-Bayou-
108 - 2024-07-221144Twins-Raptors-
110 - 2024-07-241159Vandals-Twins-
111 - 2024-07-251167Twins-Scorpions-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance35,87717,949
Assistance PCT99.66%99.72%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
20 2990 - 99.68% 101,662$1,829,916$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,429,556$ 1,892,500$ 1,892,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 944,599$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,033,240$ 59 25,597$ 1,510,223$




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
4582244704700219277-5841132301400112138-2641112403300107139-326321940061921477197417914426386991220286797839992103114.76%2516374.90%6581124846.55%650134648.29%571124046.05%2069148317685921106537
4682294204412232265-3341151704212118126-841142500200114139-25742324326641035911018192245764380433206269566410732384318.07%2246969.20%9694136350.92%641131748.67%604125947.97%2280168115485791120552
4738152001101126142-1618710010005862-420810001016880-1234126231357223454371838213314308910013013335401112926.13%1163867.24%327456748.32%27864143.37%28060046.67%962681797273530264
Total Saison Régulière20268109091213577684-107100355006612288326-38102335903601289358-69171577106316405311621623513455111121595181154509116751780261255910318.43%59117071.24%181549317848.74%1569330447.49%1455309946.95%531238464113144527571354