Association Québécoise de Hockey Simulé - Raptors 

Raptors

GP: 14 | W: 6 | L: 7 | OTL: 1 | P: 13
GF: 57 | GA: 65 | PP%: 28.13% | PK%: 50.00%
DG: Michael Langlois | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #230 vs Farmers
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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
1Kevin LabancX100.00684581865672876430616759838778090670
2Warren FoegeleX100.00794584836964816230586672698777090660
3Corey PerryX100.00597263797658985830536256689786090640
4Craig SmithX100.00634587796855775530496266679381090620
5William Eklund (R)X100.00534587805499405130445863818077090590
6Max PaciorettyX100.00504592757868405130406255669485090570
7Alexander NylanderX100.00594587786462404930445464508574090570
8Jasper Weatherby (R)X100.00504595738550404530405055508572090540
9C.J. SmithX100.00504595785650404530405055508976090530
10Max Veronneau (R)X100.00504595776550404530405055508875090530
11Mikhail VorobyevX100.00504595776750404530405055508673090530
12Tomas HykaX100.00504595804450404530405055509077090520
13Keaton Middleton (R)X100.00504595709350404530405055508572090580
14Michael Del ZottoX100.00504595765850404530405055509380090570
15Blake HillmanX100.00504595785350404530405055508774090560
Rayé
1Nicklas JensenX100.00504595738050404530405055509077090540
2Sergey TolchinskyX100.00504595804350404530405055508875090520
3Troy StecherX100.00655180814968985330515574668979090660
4Kurtis MacDermidX100.00916061738750535130495360658976090640
MOYENNE D'ÉQUIPE100.0057488878665853503045555959897709058
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
1Alex Nedeljkovic100.0070507887707070707070708777090630
Rayé
1Sami Aittokallio100.0070404080656565656565658573090580
MOYENNE D'ÉQUIPE100.007045598468686868686868867509061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Larsen85707092808080CAN4624,000,000$


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
1William EklundRaptors (WAS)LW144111520021255916296.78%524917.8500001000020042.06%107167001.2000000131
2Warren FoegeleRaptors (WAS)LW146814-52026236427399.38%1027119.3621313210000141020.00%151614001.0300000100
3Jasper WeatherbyRaptors (WAS)C146612200161730111520.00%1127719.81213527000010044.07%27034000.8700000002
4Craig SmithRaptors (WAS)RW144711-16021184710308.51%724217.31235822000040040.91%22610000.9100000010
5Alexander NylanderRaptors (WAS)LW156410060171737152316.22%1425717.16011015000021038.46%6585000.7800000011
6Corey PerryRaptors (WAS)LW1436916025134212237.14%921815.6400002000090015.38%131110000.8200000100
7Max PaciorettyRaptors (WAS)RW14639-32018122571324.00%921215.1900016000031029.41%1723000.8500000201
8Kevin LabancRaptors (WAS)LW3459000115142828.57%16722.3412348000020060.00%2042002.6900000110
9Tyler MotteWashington BudweiserRW8369-34014195516345.45%617021.280228140000100043.75%16126001.0611000000
10Michael Del ZottoRaptors (WAS)D14178-10001215161076.25%2532022.92112323000018000.00%0415000.5000000010
11Mikhail VorobyevRaptors (WAS)C14358-7001114135823.08%223917.10000117000000134.75%23635000.6700000100
12Troy StecherRaptors (WAS)D71453209101051410.00%1017825.52000017000010100.00%0311000.5600000000
13Jakub VranaWashington BudweiserRW3224-34083266177.69%17324.3401114000020141.94%3132001.1001000000
14Keaton MiddletonRaptors (WAS)D14123-112051313757.69%1131422.45011023000016000.00%049000.1900000000
15Blake HillmanRaptors (WAS)D1412340061213367.69%1524517.541012900009000.00%037000.2400000000
16Max VeronneauRaptors (WAS)RW14022300869280.00%715411.0701108000000028.57%705000.2600000000
17Nicklas JensenRaptors (WAS)RW4011-200122220.00%16015.100000000000000.00%013000.3300000000
18C.J. SmithRaptors (WAS)LW14101-1203431133.33%71329.4600004000041025.00%415000.1500000000
19Kurtis MacDermidRaptors (WAS)D3011060437120.00%27525.260000500002000.00%026000.2600000000
20Tomas HykaRaptors (WAS)RW3101-3201522250.00%25317.74000000000000100.00%103000.3800000000
Stats d'équipe Total ou en Moyenne2145382135-3444023723648716028610.88%155381517.83914234623300001145239.56%824102132000.7112000775
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
1Pavel FrancouzWashington Budweiser64200.8713.82346002217178001.000360000
2Alex NedeljkovicRaptors (WAS)92510.8565.394680042292157000.000087010
Stats d'équipe Total ou en Moyenne156710.8624.718150064463235001.0003147010


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
Alex NedeljkovicRaptors (WAS)G271996-01-07No208 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Alexander NylanderRaptors (WAS)LW251998-03-02No192 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm850,000$0$0$No
Blake HillmanRaptors (WAS)D261996-10-12No180 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
C.J. SmithRaptors (WAS)LW281994-12-01No184 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Corey PerryRaptors (WAS)LW381985-05-16No208 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,900,000$0$0$No
Craig SmithRaptors (WAS)RW341989-09-05No204 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm950,000$0$0$No
Jasper WeatherbyRaptors (WAS)C251998-01-22Yes222 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Keaton MiddletonRaptors (WAS)D251998-02-10Yes240 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Kevin LabancRaptors (WAS)LW271995-12-12No185 Lbs5 ft11NoNoNo5Avec RestrictionPro & Farm950,000$0$0$No
Kurtis MacDermidRaptors (WAS)D291994-03-25No233 Lbs6 ft5NoNoNo5Sans RestrictionPro & Farm3,000,000$0$0$No
Max PaciorettyRaptors (WAS)RW341988-11-20No217 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Max VeronneauRaptors (WAS)RW271995-12-12Yes193 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Michael Del ZottoRaptors (WAS)D331990-06-24No195 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm800,000$0$0$No
Mikhail VorobyevRaptors (WAS)C261997-01-05No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Nicklas JensenRaptors (WAS)RW291993-10-12No216 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Sami AittokallioRaptors (WAS)G291993-10-12No174 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Sergey TolchinskyRaptors (WAS)RW271995-10-12No170 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Tomas HykaRaptors (WAS)RW291993-10-12No160 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Troy StecherRaptors (WAS)D291994-04-07No184 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Warren FoegeleRaptors (WAS)LW271996-04-01No198 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm2,750,000$0$0$No
William EklundRaptors (WAS)LW202002-10-12Yes181 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.29197 Lbs6 ft12.191,073,810$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kevin LabancJasper WeatherbyCraig Smith35122
2Warren FoegeleMikhail VorobyevMax Pacioretty30122
3Corey PerryWilliam EklundMax Veronneau25122
4William EklundKevin LabancTomas Hyka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Keaton MiddletonMichael Del Zotto35122
2Blake HillmanAlexander Nylander30122
3C.J. SmithTomas Hyka25122
4Keaton MiddletonMichael Del Zotto10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kevin LabancJasper WeatherbyCraig Smith55122
2Warren FoegeleMikhail VorobyevMax Pacioretty45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Keaton MiddletonMichael Del Zotto55122
2Blake HillmanAlexander Nylander45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kevin LabancWarren Foegele55122
2Corey PerryCraig Smith45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Keaton MiddletonMichael Del Zotto55122
2Blake Hillman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kevin Labanc55122Keaton MiddletonMichael Del Zotto55122
2Warren Foegele45122Blake Hillman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kevin LabancWarren Foegele55122
2Corey PerryCraig Smith45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Keaton MiddletonMichael Del Zotto55122
2Blake Hillman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin LabancJasper WeatherbyCraig SmithKeaton MiddletonMichael Del Zotto
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin LabancJasper WeatherbyCraig SmithKeaton MiddletonMichael Del Zotto
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Max Veronneau, C.J. Smith, William EklundMax Veronneau, C.J. SmithWilliam Eklund
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Hillman, Keaton Middleton, Michael Del ZottoBlake HillmanKeaton Middleton, Michael Del Zotto
Tirs de Pénalité
Kevin Labanc, Warren Foegele, Corey Perry, Craig Smith, William Eklund
Gardien
#1 : Alex Nedeljkovic, #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
1Chiwawa31101000990100010004312110000056-140.66791524001222212103121191189597394494125.00%20100.00%011829240.41%11629739.06%10925742.41%286164302124257127
2Marlies1010000036-31010000036-30000000000000.0003690012222124612119118954517416100.00%20100.00%011829240.41%11629739.06%10925742.41%286164302124257127
3Outlaws1000010067-11000010067-10000000000010.50068140012222122012119118954382204125.00%10100.00%011829240.41%11629739.06%10925742.41%286164302124257127
4Saguenéens210000101064100000105411100000052341.00010142400122221280121191189547164469111.11%2150.00%011829240.41%11629739.06%10925742.41%286164302124257127
5Scorpions11000000633000000000001100000063321.0006121800122221251121191189536104163266.67%20100.00%011829240.41%11629739.06%10925742.41%286164302124257127
6Snowbirds202000001016-61010000058-31010000058-300.000101727001222212751211911895853016324250.00%8625.00%011829240.41%11629739.06%10925742.41%286164302124257127
7Spartans20200000512-71010000035-21010000027-500.0005813001222212661211911895692716344125.00%8537.50%011829240.41%11629739.06%10925742.41%286164302124257127
8Supreme1010000035-21010000035-20000000000000.00034700122221222121191189529154272150.00%220.00%011829240.41%11629739.06%10925742.41%286164302124257127
9Thugs11000000514000000000001100000051421.000510150012222124112119118953311221100.00%10100.00%011829240.41%11629739.06%10925742.41%286164302124257127
Total1447011105765-8704011102938-97430000028271130.464579415100122221250412119118954841735626132928.13%281450.00%011829240.41%11629739.06%10925742.41%286164302124257127
_Since Last GM Reset1447011105765-8704011102938-97430000028271130.464579415100122221250412119118954841735626132928.13%281450.00%011829240.41%11629739.06%10925742.41%286164302124257127
_Vs Conference1346011105459-5603011102632-67430000028271130.500548814200122221245812119118954391565224531929.03%261446.15%011829240.41%11629739.06%10925742.41%286164302124257127
_Vs Division1246010104852-4503010102025-57430000028271120.500488012800122221243812119118953961485022527829.63%251444.00%011829240.41%11629739.06%10925742.41%286164302124257127

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1413L157941515044841735626100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
144711105765
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
70411102938
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
74300002827
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
32928.13%281450.00%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
12119118951222212
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
11829240.41%11629739.06%10925742.41%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
286164302124257127


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
2 - 2024-04-0715Saguenéens4Raptors5WXXSommaire du Match
3 - 2024-04-0832Raptors2Spartans7LSommaire du Match
4 - 2024-04-0940Raptors4Chiwawa3WSommaire du Match
6 - 2024-04-1156Chiwawa3Raptors4WXSommaire du Match
8 - 2024-04-1371Raptors5Saguenéens2WSommaire du Match
9 - 2024-04-1487Spartans5Raptors3LSommaire du Match
10 - 2024-04-1598Raptors5Snowbirds8LSommaire du Match
11 - 2024-04-16116Marlies6Raptors3LSommaire du Match
13 - 2024-04-18137Snowbirds8Raptors5LSommaire du Match
14 - 2024-04-19150Raptors6Scorpions3WSommaire du Match
16 - 2024-04-21163Raptors5Thugs1WSommaire du Match
17 - 2024-04-22180Supreme5Raptors3LSommaire du Match
19 - 2024-04-24200Outlaws7Raptors6LXSommaire du Match
20 - 2024-04-25208Raptors1Chiwawa3LSommaire du Match
22 - 2024-04-27230Raptors-Farmers-
23 - 2024-04-28240Igloos-Raptors-
24 - 2024-04-29256Raptors-Chiwawa-
25 - 2024-04-30270Marmots-Raptors-
28 - 2024-05-03290Warriors-Raptors-
29 - 2024-05-04303Raptors-Warriors-
30 - 2024-05-05321Scorpions-Raptors-
32 - 2024-05-07334Raptors-Outlaws-
33 - 2024-05-08351Raptors-Scorpions-
34 - 2024-05-09365Predateurs-Raptors-
36 - 2024-05-11380Raptors-Snowbirds-
37 - 2024-05-12395Bandits-Raptors-
39 - 2024-05-14414Raptors-Spartans-
40 - 2024-05-15426Raptors-Saguenéens-
41 - 2024-05-16434Smirnoff Ice-Raptors-
43 - 2024-05-18457Supreme-Raptors-
44 - 2024-05-19473Spartans-Raptors-
46 - 2024-05-21488Raptors-Thugs-
47 - 2024-05-22506Marlies-Raptors-
49 - 2024-05-24523Raptors-Twins-
50 - 2024-05-25534Raptors-Marmots-
51 - 2024-05-26549Saguenéens-Raptors-
52 - 2024-05-27565Raptors-Vandals-
54 - 2024-05-29582Farmers-Raptors-
56 - 2024-05-31596Raptors-Smirnoff Ice-
58 - 2024-06-02613Scorpions-Raptors-
59 - 2024-06-03631Goons-Raptors-
61 - 2024-06-05645Raptors-Vipers-
62 - 2024-06-06660Vipers-Raptors-
64 - 2024-06-08677Raptors-Barracudas-
65 - 2024-06-09691Raptors-Hunters-
66 - 2024-06-10702Xpress-Raptors-
68 - 2024-06-12722Raptors-Grizzlies-
69 - 2024-06-13735Wolves-Raptors-
70 - 2024-06-14751Raptors-TigersCats-
71 - 2024-06-15767TigersCats-Raptors-
73 - 2024-06-17783Raptors-Predateurs-
74 - 2024-06-18798Chiwawa-Raptors-
75 - 2024-06-19812Raptors-Igloos-
76 - 2024-06-20828Snowbirds-Raptors-
77 - 2024-06-21841Raptors-Wolves-
79 - 2024-06-23858Rockets-Raptors-
81 - 2024-06-25875Raptors-Husky-
82 - 2024-06-26886Raptors-Goons-
83 - 2024-06-27898CoolFm-Raptors-
85 - 2024-06-29921Thugs-Raptors-
87 - 2024-07-01941Vandals-Raptors-
88 - 2024-07-02948Raptors-Bayou-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04974Grizzlies-Raptors-
91 - 2024-07-05986Raptors-Marlies-
93 - 2024-07-071002Husky-Raptors-
94 - 2024-07-081015Raptors-Bandits-
96 - 2024-07-101033Raptors-CoolFm-
97 - 2024-07-111044Thugs-Raptors-
100 - 2024-07-141069Bayou-Raptors-
102 - 2024-07-161089Hunters-Raptors-
103 - 2024-07-171091Raptors-Supreme-
105 - 2024-07-191117Raptors-Supreme-
106 - 2024-07-201121Raptors-Xpress-
108 - 2024-07-221144Twins-Raptors-
109 - 2024-07-231147Raptors-Rockets-
112 - 2024-07-261177Barracudas-Raptors-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance13,9176,993
Assistance PCT99.41%99.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
31 2987 - 99.57% 101,484$710,388$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,197,128$ 2,255,000$ 2,255,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 451,285$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,146,004$ 92 55,354$ 5,092,568$




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
4582323904403267280-1341161902202129128141162002201138152-147926749476113669410342082500771794251973607123710392607227.69%2938172.35%11720138751.91%731136553.55%683128753.07%2289167615455711106562
46823236011012298316-1841141900611153163-1041181701401145153-88029851080833441041482237858188490716243581463913712406828.33%2396473.22%6694149646.39%674151444.52%599130845.80%1732108919176671303634
471447011105765-8704011102938-9743000002827113579415100122221250412119118954841735626132928.13%281450.00%011829240.41%11629739.06%10925742.41%286164302124257127
Total Saison Régulière1786882061525622661-3989304203923311329-1889384003602311332-2117262210981720461222202728496412021846189046489215941932267153214928.01%56015971.61%171532317548.25%1521317647.89%1391285248.77%430829303765136326661324