Connexion

Raptors
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 4 | GA: 11 | PP%: 20.00% | PK%: 81.82%
DG: Michael Langlois | Morale : 90 | Moyenne d’équipe : 59
Prochains matchs #50 vs TigersCats
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Centre de jeu
Saguenéens
4-0-0, 8pts
4
FINAL
3 Raptors
0-3-0, 0pts
Team Stats
W4SéquenceL3
1-0-0Fiche domicile0-1-0
3-0-0Fiche domicile0-2-0
4-0-0Derniers 10 matchs0-3-0
4.25Buts par match 1.33
2.00Buts contre par match 3.67
17.65%Pourcentage en avantage numérique20.00%
70.00%Pourcentage en désavantage numérique81.82%
Raptors
0-3-0, 0pts
1
FINAL
3 Chiwawa
1-2-0, 2pts
Team Stats
L3SéquenceL1
0-1-0Fiche domicile1-1-0
0-2-0Fiche domicile0-1-0
0-3-0Derniers 10 matchs1-2-0
1.33Buts par match 1.67
3.67Buts contre par match 2.00
20.00%Pourcentage en avantage numérique0.00%
81.82%Pourcentage en désavantage numérique81.82%
TigersCats
2-1-0, 4pts
Jour 5
Raptors
0-3-0, 0pts
Statistiques d’équipe
W2SéquenceL3
1-0-0Fiche domicile0-1-0
1-1-0Fiche visiteur0-2-0
2-1-010 derniers matchs0-3-0
4.33Buts par match 1.33
2.67Buts contre par match 1.33
46.15%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique81.82%
Vandals
1-1-1, 3pts
Jour 6
Raptors
0-3-0, 0pts
Statistiques d’équipe
W1SéquenceL3
0-0-1Fiche domicile0-1-0
1-1-0Fiche visiteur0-2-0
1-1-110 derniers matchs0-3-0
1.67Buts par match 1.33
2.67Buts contre par match 1.33
18.75%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique81.82%
Raptors
0-3-0, 0pts
Jour 7
Warriors
2-1-0, 4pts
Statistiques d’équipe
L3SéquenceW2
0-1-0Fiche domicile1-1-0
0-2-0Fiche visiteur1-0-0
0-3-010 derniers matchs2-1-0
1.33Buts par match 1.67
3.67Buts contre par match 1.67
20.00%Pourcentage en avantage numérique7.69%
81.82%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Kevin Labanc
1
Passes
Kevin Labanc
2
Points
Kevin Labanc
3
Plus/Moins
David Jiricek
0
Victoires
Jon Gillies
0
Pourcentage d’arrêts
Jon Gillies
0.859

Statistiques d’équipe
Buts pour
4
1.33 GFG
Tirs pour
54
18.00 Avg
Pourcentage en avantage numérique
20.0%
2 GF
Début de zone offensive
37.3%
Buts contre
11
3.67 GAA
Tirs contre
78
26.00 Avg
Pourcentage en désavantage numérique
81.8%%
2 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralMichael Langlois
EntraîneurBrad Larsen
DivisionDivision Est
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,591
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure18
Limite contact 37 / 50
Espoirs67


Historique d'équipe

Saison actuelle0-3-0 (0PTS)
Historique0-3-0 (0.000%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


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 SPÂgeContratSalaire
1James van RiemsdykX100.005645878375688667307163617194850906803541,500,000$
2Stefan NoesenX100.007948848370599864726364657091800906803153,000,000$
3Mitchell StephensX100.00534590766750405086445778658774090610271850,000$
4Jakub VranaX100.0055458581606140573056585567887709059N02841,500,000$
5Kevin LabancX100.00764585815658565330525455758877090580283950,000$
6Sergey TolchinskyX100.00504595806050404530405055508875090530281750,000$
7Brett SeneyX100.00564587804052404530405060508875090530285775,000$
8Max VeronneauX100.00504595776550404530405055508875090530284775,000$
9Mikhail VorobyevX100.00504595776750404530405055508673090530274775,000$
10Jasper Weatherby (R)X100.00504595736050404530405055508572090520263775,000$
11Jonathan Dahlen (R)X100.00504595785450404530405055508673090520265900,000$
12Luke SchennX100.009960767477637650304852735094830906803411,000,000$
13Kevin ShattenkirkX100.006945878462667463306462647895850906803521,000,000$
14David JiricekX100.005845818072615255305753686780690906302021,200,000$
15Kurtis MacDermidX100.008860517192505448304254625090770906303033,000,000$
16Blake HillmanX100.00504595786050404530405055508774090560274775,000$
Rayé
1C.J. SmithX100.00504595786050404530405055508976090530292750,000$
2John KlingbergX90.536045848357864055306150586791860906303243,000,000$
MOYENNE D’ÉQUIPE99.4461478779645752513549546059897709059
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 SPÂgeContratSalaire
1Jon Gillies100.0070506095707070707070708976090630301750,000$
Rayé
MOYENNE D’ÉQUIPE100.007050609570707070707070897609063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Larsen65656565808080CAN4714,000,000$


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’équipePOSGP 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
1Kevin LabancRaptors (WAS)LW3123-3005651320.00%05217.5702218000010060.00%500001.1400000100
2David JiricekRaptors (WAS)D31120001542125.00%15919.791013800007000%000000.6700000000
3Jasper WeatherbyRaptors (WAS)C3101-1205221350.00%14615.6200000000000026.32%3800000.4300000000
4Kevin ShattenkirkRaptors (WAS)D3101-4200262116.67%47023.361014800008000%000000.2900000000
5Jakub VranaRaptors (WAS)RW3011-300266250%06120.3800018000070050.00%800000.3300000000
6Kurtis MacDermidRaptors (WAS)D3011-2801230210%15919.730000800004000%000000.3400000000
7Mikhail VorobyevRaptors (WAS)C3011-320072120%05217.6101108000010049.15%5900000.3800000000
8Mitchell StephensRaptors (WAS)C3000-3000101120%15919.8800008000060062.67%750000000000000
9James van RiemsdykRaptors (WAS)LW3000-300068040%06622.2500029000090066.67%60000000000000
10Jonathan DahlenRaptors (WAS)RW3000000000000%051.890000000000000%00000000000000
11Luke SchennRaptors (WAS)D3000-440524030%26722.620003700007000%00000000000000
12John KlingbergRaptors (WAS)D3000-260700000%53812.690000000002000%00000000000000
13Stefan NoesenRaptors (WAS)RW3000-300474260%16521.7900019000090051.52%330000000000000
14Sergey TolchinskyRaptors (WAS)RW3000-120322210%04916.5500000000000050.00%60000000000000
15Blake HillmanRaptors (WAS)D3000-200102010%15317.690001000005000%00000000000000
16Brett SeneyRaptors (WAS)RW3000000012010%0124.19000110000000100.00%20000000000000
17Max VeronneauRaptors (WAS)RW3000-100344030%04916.610000000003000%10000000000000
Statistiques d’équipe totales ou en moyenne514610-3526048635216377.69%1787017.0723517870000750051.07%23300000.2300000100
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
1Jon GilliesRaptors (WAS)30300.8593.691790011780000030000
Statistiques d’équipe totales ou en moyenne30300.8593.69179001178000030000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Blake HillmanRaptors (WAS)D271996-10-12USANo180 Lbs6 ft1NoNoN/ANoNo42025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Brett SeneyRaptors (WAS)RW281996-02-28CANNo156 Lbs5 ft9NoNoN/ANoNo52025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
C.J. SmithRaptors (WAS)LW291994-12-01USANo184 Lbs5 ft11NoNoN/ANoNo22025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No750,000$--------750,000$--------No--------
David JiricekRaptors (WAS)D202003-11-28CZENo207 Lbs6 ft4NoNoTrade2025-04-11NoNo22025-03-16FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$--------1,200,000$--------No--------
Jakub VranaRaptors (WAS)RW281996-02-28CZENo190 Lbs6 ft0YesNoN/ANoNo42025-03-16FalseFalsePro & Farm1,500,000$1,446,429$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
James van RiemsdykRaptors (WAS)LW351989-05-04USANo208 Lbs6 ft3NoNoTrade2025-04-07NoNo42025-03-16FalseFalsePro & Farm1,500,000$1,446,429$0$0$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Jasper WeatherbyRaptors (WAS)C261998-01-22USAYes222 Lbs6 ft4NoNoN/ANoNo32025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
John KlingbergRaptors (WAS)D321992-08-14SWENo185 Lbs6 ft2NoNoN/ANoNo42025-03-16FalseFalsePro & Farm3,000,000$2,892,857$0$0$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------
Jon GilliesRaptors (WAS)G301994-01-22USANo223 Lbs6 ft6NoNoN/ANoNo12025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No---------------------------
Jonathan DahlenRaptors (WAS)RW261997-12-20SWEYes180 Lbs5 ft11NoNoAssign ManuallyNoNo52025-04-07FalseFalsePro & Farm900,000$867,857$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----
Kevin LabancRaptors (WAS)LW281995-12-12USANo185 Lbs5 ft11NoNoN/ANoNo32025-03-16FalseFalsePro & Farm950,000$916,071$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Kevin ShattenkirkRaptors (WAS)D351989-01-29USANo203 Lbs6 ft0NoNoN/ANoNo22025-03-16FalseFalsePro & Farm1,000,000$964,286$0$0$No1,000,000$--------1,000,000$--------No--------
Kurtis MacDermidRaptors (WAS)D301994-03-25CANNo233 Lbs6 ft5NoNoN/ANoNo32025-03-16FalseFalsePro & Farm3,000,000$2,892,857$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------
Luke SchennRaptors (WAS)D341989-11-02CANNo225 Lbs6 ft2NoNoN/ANoNo12025-03-16FalseFalsePro & Farm1,000,000$964,286$0$0$No---------------------------
Max VeronneauRaptors (WAS)RW281995-12-12CANNo193 Lbs6 ft1NoNoN/ANoNo42025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Mikhail VorobyevRaptors (WAS)C271997-01-05RUSNo194 Lbs6 ft2NoNoN/ANoNo42025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Mitchell StephensRaptors (WAS)C271997-02-05CANNo203 Lbs6 ft0NoNoTrade2024-12-15NoNo12025-03-16FalseFalsePro & Farm850,000$819,643$0$0$No---------------------------
Sergey TolchinskyRaptors (WAS)RW281995-10-12RUSNo170 Lbs5 ft8NoNoN/ANoNo12025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No---------------------------
Stefan NoesenRaptors (WAS)RW311993-02-12USANo205 Lbs6 ft1NoNoN/ANoNo52025-03-16FalseFalsePro & Farm3,000,000$2,892,857$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1928.89197 Lbs6 ft13.051,264,474$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James van RiemsdykMitchell StephensStefan Noesen35122
2Kevin LabancMikhail VorobyevJakub Vrana30122
3Sergey TolchinskyJasper WeatherbyMax Veronneau25122
4James van RiemsdykStefan NoesenSergey Tolchinsky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ShattenkirkLuke Schenn35122
2Kurtis MacDermidDavid Jiricek30122
3Blake Hillman25122
4Kevin ShattenkirkLuke Schenn10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James van RiemsdykMitchell StephensStefan Noesen55122
2Kevin LabancMikhail VorobyevJakub Vrana45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ShattenkirkLuke Schenn55122
2Kurtis MacDermidDavid Jiricek45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenJames van Riemsdyk55122
2Mitchell StephensJakub Vrana45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ShattenkirkLuke Schenn55122
2Kurtis MacDermidDavid Jiricek45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Stefan Noesen55122Kevin ShattenkirkLuke Schenn55122
2James van Riemsdyk45122Kurtis MacDermidDavid Jiricek45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Stefan NoesenJames van Riemsdyk55122
2Mitchell StephensJakub Vrana45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ShattenkirkLuke Schenn55122
2Kurtis MacDermidDavid Jiricek45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James van RiemsdykMitchell StephensStefan NoesenKevin ShattenkirkLuke Schenn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James van RiemsdykMitchell StephensStefan NoesenKevin ShattenkirkLuke Schenn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Seney, Jonathan Dahlen, Max VeronneauBrett Seney, Jonathan DahlenMax Veronneau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Blake Hillman, Kurtis MacDermidBlake Hillman, Kurtis MacDermid
Tirs de pénalité
Stefan Noesen, James van Riemsdyk, Mitchell Stephens, Jakub Vrana, Kevin Labanc
Gardien
#1 : Jon Gillies, #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
TotalDomicileVisiteur
# 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
1Chiwawa1010000013-2000000000001010000013-200.0001120013001917191802081016200.00%50100.00%0458751.72%5410252.94%204445.45%704671223819
2Saguenéens1010000034-11010000034-10000000000000.00035800130023171918031410195240.00%3233.33%0458751.72%5410252.94%204445.45%704671223819
3Thugs1010000004-4000000000001010000004-400.000000001300121719180275614300.00%30100.00%0458751.72%5410252.94%204445.45%704671223819
Total30300000411-71010000034-12020000017-600.00046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819
_Since Last GM Reset30300000411-71010000034-12020000017-600.00046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819
_Vs Conference30300000411-71010000034-12020000017-600.00046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819
_Vs Division30300000411-71010000034-12020000017-600.00046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
30L34610547817264900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3030000411
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000017
Derniers 10 matchs
WLOTWOTL SOWSOL
030000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10220.00%11281.82%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
17191801300
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
458751.72%5410252.94%204445.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
704671223819


Derniers matchs 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
11Raptors0Thugs4LSommaire du match
224Saguenéens4Raptors3LSommaire du match
335Raptors1Chiwawa3LSommaire du match
550TigersCats-Raptors-
669Vandals-Raptors-
781Raptors-Warriors-
998Raptors-Snowbirds-
10116Thugs-Raptors-
11131Raptors-Saguenéens-
12140Husky-Raptors-
14165Spartans-Raptors-
15168Raptors-Scorpions-
16190Raptors-Chiwawa-
18208Scorpions-Raptors-
19226Xpress-Raptors-
20235Raptors-TigersCats-
21254Raptors-Spartans-
22260Raptors-Warriors-
24273TigersCats-Raptors-
26293Saguenéens-Raptors-
27305Raptors-Vandals-
28330Barracudas-Raptors-
29345Raptors-Outlaws-
30361Bandits-Raptors-
31372Raptors-Snowbirds-
33392Grizzlies-Raptors-
34408Raptors-Thugs-
35421Vipers-Raptors-
36433Raptors-Vipers-
38452Outlaws-Raptors-
39471Raptors-Spartans-
40475Raptors-Hunters-
41489Goons-Raptors-
42504Raptors-Warriors-
44523Bayou-Raptors-
46542Scorpions-Raptors-
47556Raptors-Predateurs-
48576Marmots-Raptors-
49587Raptors-Smirnoff Ice-
50597Raptors-Rockets-
52614CoolFm-Raptors-
54638Raptors-Bandits-
55648Smirnoff Ice-Raptors-
56669Farmers-Raptors-
58685Raptors-Marmots-
59700Thugs-Raptors-
61711Raptors-Husky-
62732Raptors-Farmers-
63741Twins-Raptors-
64764Raptors-Xpress-
65773TigersCats-Raptors-
67796Marlies-Raptors-
68812Raptors-Marlies-
69826Warriors-Raptors-
70833Raptors-Wolves-
72858Spartans-Raptors-
73865Raptors-CoolFm-
74885Chiwawa-Raptors-
76909Husky-Raptors-
78930Raptors-Grizzlies-
79938Raptors-Twins-
80952Chiwawa-Raptors-
81967Raptors-Barracudas-
82977Supreme-Raptors-
83996Raptors-TigersCats-
841009Snowbirds-Raptors-
861025Raptors-Supreme-
871038Raptors-Saguenéens-
881049TigersCats-Raptors-
891056Raptors-Bayou-
901077Wolves-Raptors-
921092Raptors-Goons-
931110Supreme-Raptors-
941121Raptors-Scorpions-
961138Predateurs-Raptors-
971150Raptors-Supreme-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
991171Hunters-Raptors-
1001183Raptors-Igloos-
1011191Raptors-Chiwawa-
1021209Rockets-Raptors-
1061240Igloos-Raptors-
1101269Snowbirds-Raptors-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7030
Assistance1,083508
Assistance PCT54.15%50.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 1591 - 53.03% 109,260$109,260$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
228,660$ 2,402,500$ 2,402,500$ 4,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 85,804$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,370,400$ 108 57,165$ 6,173,820$




Raptors Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Kevin Labanc3123-3056520.00%05217.57022100000060.00%01.1400
2David Jiricek31120015425.00%15919.7910130000000%00.6700
3Kevin Shattenkirk3101-4202616.67%47023.3610140000000%00.2900
4Jakub Vrana3011-302660%06120.38000100000050.00%00.3300
5Kurtis MacDermid3011-2812300%15919.7300000000000%00.3400

Raptors Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jon Gillies30300.8593.6917900117800000

Raptors Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
4930300000411-71010000034-12020000017-6046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819
Total Saison régulière30300000411-71010000034-12020000017-6046100013005417191807817264910220.00%11281.82%0458751.72%5410252.94%204445.45%704671223819
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Raptors Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Raptors Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA