Association Québécoise de Hockey Simulé - Twins 

Twins

GP: 9 | W: 4 | L: 4 | OTL: 1 | P: 9
GF: 30 | GA: 35 | PP%: 27.59% | PK%: 81.82%
DG: David Hardy | Morale : 90 | Moyenne d'Équipe : 55
Prochain matchs #133 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
1Austin WagnerX99.00674595776561404930445462508574090570
2Marco Kasper (R)X100.00504595785975404530405061507971090550
3Tyler Angle (R)X100.00504595804557404730405465508270090540
4Victor RaskX95.00504595767050404530405055509077090540
5Scott ReedyX100.00504595757350404530405055508471090530
6Alan QuineX100.00504595756850404530405055509077090530
7Owen Beck (R)X100.00504595775950404530405060507966090530
8Lucas WallmarkX100.00504595795550404530405055508875090530
9Nicholas BaptisteX100.00504595757150404530405055508875090530
10Dillon HeatheringtonX100.00504595747650404530405058508774090580
11Sean Day (R)X100.00504595737650404530405055508572090570
12David Farrance (R)X100.00504595775350404530405055508471090560
13Olli Juolevi (R)X100.00504595785650404530405055508572090560
Rayé
1Andreas JohnssonX94.00534587785967405130525063658878090570
2Otto Koivula (R)X100.00524590738850404930485055508471090550
3Connor BunnamanX100.00504595757250404530405055508572090530
4Janne KuokkanenX100.00504595776550404530405055508572090530
5Ivan Chekhovich (R)X100.00504595785550404530405055508471090520
6Valtteri Puustinen (R)X100.00504595785250404530405055508471090520
7Markus NiemelainenX100.00994590776850404530405059508471090600
8Jamie DrysdaleX100.00534592785073404530405066508173090590
MOYENNE D'ÉQUIPE99.4354459477645440463041505851857309055
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
1Joel Hofer (R)95.0070506783707070707070758270090620
2Michael Dipietro (R)100.0070404086656565656565658269090580
Rayé
MOYENNE D'ÉQUIPE97.507045548568686868686870827009060
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
1Andreas JohnssonTwins (LAK)RW97512-1801074482615.91%620122.422026240000141144.12%34128001.1901000211
2Tyler AngleTwins (LAK)C9461032071224121316.67%213915.50145419000000034.23%11156001.4301000011
3Marco KasperTwins (LAK)LW95272001992351321.74%416117.964046200001110010.00%1085000.8701000011
4Austin WagnerTwins (LAK)LW7617100113278722.22%113919.911013190000151035.71%1463001.0001000200
5Victor RaskTwins (LAK)C9066020111511790.00%316818.750221240000100042.21%19934000.7101000000
6Nicholas BaptisteTwins (LAK)RW9246020512146514.29%314115.73033218000001050.00%623000.8501000001
7Scott ReedyTwins (LAK)C9303-900818202915.00%414416.0800003000010045.10%5173000.4100000000
8Alan QuineTwins (LAK)LW8033-8001376530.00%212816.0900000000000066.67%395000.4700000000
9David FarranceTwins (LAK)D9011-320053030.00%614215.810000700002000.00%005000.1400000000
10Olli JuoleviTwins (LAK)D9011000345000.00%112914.400000000008000.00%026000.1500000000
11Owen BeckTwins (LAK)C8011000221020.00%0506.310000300000000.00%502000.4000000002
12Dillon HeatheringtonTwins (LAK)D9011-4006913330.00%918720.87000015000012000.00%0112000.1100000000
13Janne KuokkanenTwins (LAK)LW4011-300225030.00%05614.1200001000020050.00%223000.3500000000
14Jamie DrysdaleTwins (LAK)D2000200020000.00%12311.940000200000000.00%010000.0000000000
15Markus NiemelainenTwins (LAK)D7000-26015109100.00%815121.6400012100008000.00%028000.0000000000
16Sean DayTwins (LAK)D9000-520493000.00%616418.3200001200008000.00%017000.0000000000
17Lucas WallmarkTwins (LAK)C9000-100241000.00%0455.0200000000000052.17%2302000.0000000000
Stats d'équipe Total ou en Moyenne135273259-28240118130209579612.92%56217816.138917231940001963140.17%4586182000.5406000436
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 HoferTwins (LAK)94410.8723.935040133258134010.833690010
2Michael DipietroTwins (LAK)10001.0000.004000033000.000009010
Stats d'équipe Total ou en Moyenne104410.8743.645440133261137010.833699020


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
Jamie DrysdaleTwins (LAK)D212002-04-08No183 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm2,000,000$0$0$No
Janne KuokkanenTwins (LAK)LW251998-05-25No193 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Joel HoferTwins (LAK)G232000-07-30Yes179 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm1,000,000$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
2324.83194 Lbs6 ft13.00914,130$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin WagnerVictor Rask35122
2Marco KasperTyler AngleNicholas Baptiste30122
3Scott ReedyAlan Quine25122
4Alan QuineLucas Wallmark10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Dillon HeatheringtonSean Day30122
3David FarranceOlli Juolevi25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin WagnerVictor Rask55122
2Marco KasperTyler AngleNicholas Baptiste45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Austin Wagner55122
2Marco KasperVictor Rask45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
2Austin Wagner45122Dillon HeatheringtonSean Day45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Austin Wagner55122
2Marco KasperVictor Rask45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Dillon HeatheringtonSean Day45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin WagnerVictor Rask
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin WagnerVictor Rask
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Owen Beck, Scott Reedy, Owen Beck, Scott Reedy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Farrance, Olli Juolevi, Dillon HeatheringtonDavid FarranceOlli Juolevi, Dillon Heatherington
Tirs de Pénalité
, Austin Wagner, Marco Kasper, Victor Rask, Tyler Angle
Gardien
#1 : Joel Hofer, #2 : Michael Dipietro


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
1Bayou20200000411-71010000016-51010000035-200.0004711008157050581007175112446600.00%20100.00%06215839.24%6717638.07%6013046.15%157782278216078
2Outlaws321000001082211000006511100000043140.667101424018157064581007178629124410440.00%7271.43%06215839.24%6717638.07%6013046.15%157782278216078
3Predateurs11000000651110000006510000000000021.0006915008157028581007173988245120.00%4175.00%06215839.24%6717638.07%6013046.15%157782278216078
Total944000013035-5422000001316-3522000011719-290.500304777118157023058100717262724215729827.59%22481.82%06215839.24%6717638.07%6013046.15%157782278216078
5Vandals11000000422000000000001100000042221.0004610008157030581007172951014000.00%5180.00%06215839.24%6717638.07%6013046.15%157782278216078
6Vipers1000000145-1000000000001000000145-110.5004711008157034581007173754206350.00%20100.00%06215839.24%6717638.07%6013046.15%157782278216078
7Wolves1010000024-2000000000001010000024-200.00024610815702458100717201349200.00%20100.00%06215839.24%6717638.07%6013046.15%157782278216078
_Since Last GM Reset944000013035-5422000001316-3522000011719-290.500304777118157023058100717262724215729827.59%22481.82%06215839.24%6717638.07%6013046.15%157782278216078
_Vs Conference944000013035-5422000001316-3522000011719-290.500304777118157023058100717262724215729827.59%22481.82%06215839.24%6717638.07%6013046.15%157782278216078
_Vs Division944000013035-5422000001316-3522000011719-290.500304777118157023058100717262724215729827.59%22481.82%06215839.24%6717638.07%6013046.15%157782278216078

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
99W4304777230262724215711
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
94400013035
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001316
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52200011719
Derniers 10 Matchs
WLOTWOTL SOWSOL
440001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29827.59%22481.82%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
5810071781570
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
6215839.24%6717638.07%6013046.15%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157782278216078


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 - 2024-04-18133Twins-Predateurs-
15 - 2024-04-20151Barracudas-Twins-
16 - 2024-04-21170Twins-Barracudas-
17 - 2024-04-22178Twins-Farmers-
18 - 2024-04-23186Vandals-Twins-
21 - 2024-04-26216Vipers-Twins-
23 - 2024-04-28239Xpress-Twins-
24 - 2024-04-29249Twins-CoolFm-
25 - 2024-04-30262Twins-Bandits-
26 - 2024-05-01279Vipers-Twins-
29 - 2024-05-04301Thugs-Twins-
30 - 2024-05-05313Twins-Barracudas-
31 - 2024-05-06330Grizzlies-Twins-
32 - 2024-05-07346Twins-Marlies-
34 - 2024-05-09356Marlies-Twins-
35 - 2024-05-10378Twins-Smirnoff Ice-
37 - 2024-05-12392Supreme-Twins-
38 - 2024-05-13403Twins-Vipers-
40 - 2024-05-15424CoolFm-Twins-
42 - 2024-05-17442Farmers-Twins-
43 - 2024-05-18458Twins-Predateurs-
44 - 2024-05-19463Twins-Chiwawa-
46 - 2024-05-21486Igloos-Twins-
47 - 2024-05-22503Twins-Marmots-
48 - 2024-05-23515Twins-Hunters-
49 - 2024-05-24523Raptors-Twins-
51 - 2024-05-26544Husky-Twins-
52 - 2024-05-27562Twins-Saguenéens-
53 - 2024-05-28573Twins-Wolves-
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
Assistance7,9553,984
Assistance PCT99.44%99.60%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
34 2985 - 99.49% 101,456$405,822$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
329,472$ 2,102,500$ 2,102,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 216,192$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,449,487$ 101 27,456$ 2,773,056$




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
47944000013035-5422000001316-3522000011719-29304777118157023058100717262724215729827.59%22481.82%06215839.24%6717638.07%6013046.15%157782278216078
Total Saison Régulière1735793081113481577-9686304205612243280-3787275103501238297-5914648187913604290177205123943957138115745243521446148922294778217.19%49713672.64%151337276948.28%1358283947.83%1235262946.98%450732433544125523871168