hellpepitosKingspatriots

 

 


Hybrides

GP: 9 | W: 4 | L: 3 | OTL: 2 | P: 10
GF: 28 | GA: 23 | PP%: 24.39% | PK%: 78.79%
DG: Martin Gagnon | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #68 vs Werewolves
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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 SPÂgeContratSalaire
1Nathan Bastian0X100.00767273627877815750393965594444050650221905,000$
2Conor Garland0X100.00654090836066848236495155806262050650241822,223$
3Nick Ritchie0X100.008652507584687168285148572563640506502421,498,925$
4Kiefer Sherwood0X100.00894582726665805857484572255050050640251925,000$
5Dmytro Timashov (R)0X100.00825285676961755533464571255757050630232836,111$
6Dominik Simon0XXX100.00754292776966856033504754256364050620262750,000$
7Karson Kuhlman0X100.00796784656763696032504561254748050620241762,500$
8Brandon Gignac0X100.00726485636364695164404064465555050610221921,666$
9Cooper Marody0X100.006964796664636460754141615344440506102311,000,000$
10Antti Suomela0X100.007943937464547160725146662548480506102611,350,000$
11Ryan Kuffner0X100.007971976071585954503737645344440505902411,350,000$
12Max Veronneau0X100.007667966467596153503737635045450505902411,350,000$
13Riley Stillman0X100.00828587697377775925423887254747050630221900,000$
14Brennan Menell (R)0X100.00736685646679835725393967405555050610232716,666$
15Caleb Jones0X100.00734891677169796127423967755959050610231815,000$
16Josh Mahura0X100.00594093666569727125443960254646050610221910,833$
17Matt Benning0X100.008253888274637558254238722561610506002611,900,000$
18Joshua Jacobs0X100.00797588677573804825313163404444050550241925,000$
Rayé
1Joona Luoto (R)0XX100.00674295737046645225464572254545050580222650,000$
MOYENNE D'ÉQUIPE100.0076578669696574594043426539525205061
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
1Kaapo Kahkonen (R)100.0069698684687770767876304444047730
2Joonas Korpisalo100.0066666274756978687566955959050700
Rayé
1Laurent Brossoit100.0069535581716061686969455353050650
2Anthony Stolarz100.0063617688666555656261304545050640
MOYENNE D'ÉQUIPE100.006762708270686669716850505004968
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant95939287738950CAN565500,000$


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
1Dmytro TimashovHybrides (LYC)LW97613420151740132617.50%318020.07347934000181041.67%12225001.4401000201
2Antti SuomelaHybrides (LYC)C9581340014937152913.51%117119.09347735000001058.26%115281001.5100000111
3Nick RitchieHybrides (LYC)LW94610-114020931131512.90%121323.761239290001280041.23%114312000.9401000100
4Conor GarlandHybrides (LYC)RW95270007541113012.20%421423.802138310000341036.84%57463000.6511000101
5Riley StillmanHybrides (LYC)D905502014292512120.00%3323125.76022638000129000.00%0119000.4300000000
6Joshua JacobsHybrides (LYC)D9055400467260.00%512714.140000000003000.00%002000.7900000010
7Kiefer SherwoodHybrides (LYC)RW93251001515137623.08%312313.6700000000080140.00%5177000.8101000001
8Josh MahuraHybrides (LYC)D90440002916140.00%818720.88011230000122000.00%025000.4300000000
9Matt BenningHybrides (LYC)D913440051311579.09%312313.680000000000000.00%0310000.6500000000
10Brennan MenellHybrides (LYC)D9123-120121011659.09%422925.49011338000029000.00%0010100.2600000000
11Dominik SimonHybrides (LYC)C/LW/RW9022-220418040.00%311012.28011434000060034.69%9870000.3600000000
12Cooper MarodyHybrides (LYC)LW911211003592911.11%411112.4100000000001033.33%343000.3600000000
13Caleb JonesHybrides (LYC)D9022-12012165560.00%1119121.23011030000122000.00%038000.2100000010
14Nathan BastianHybrides (LYC)RW9101422016384612.50%318020.02101435000030042.86%706000.1101000000
15Karson KuhlmanHybrides (LYC)RW90111100810177160.00%111512.82000000001170013.64%2282000.1700000000
16Brandon GignacHybrides (LYC)LW9000100684140.00%09410.5500000000000050.00%614000.0000000000
17Ryan KuffnerHybrides (LYC)LW9000-200122010.00%1161.83000010000000100.00%110000.0000000000
18Max VeronneauHybrides (LYC)RW9000-100436130.00%1465.1100005000000077.78%914000.0000000000
Stats d'équipe Total ou en Moyenne162284977166601621702911051899.62%89266916.481017275234600062154143.21%44917591100.5815000534
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
1Kaapo KahkonenHybrides (LYC)94320.9302.315460021302192010.600590010
Stats d'équipe Total ou en Moyenne94320.9302.315460021302192010.600590010


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anthony StolarzHybrides (LYC)G261994-01-20No210 Lbs198 CMNoNoNo1Pro & Farm650,000$583,602$0$0$NoLien
Antti SuomelaHybrides (LYC)C261994-03-17No172 Lbs183 CMNoNoNo1Pro & Farm1,350,000$1,212,096$0$0$NoLien
Brandon GignacHybrides (LYC)LW221997-11-07No173 Lbs180 CMNoNoNo1Pro & Farm921,666$827,517$0$0$NoLien
Brennan MenellHybrides (LYC)D231997-05-24Yes183 Lbs180 CMNoNoNo2Pro & Farm716,666$643,458$0$0$No716,666$Lien
Caleb JonesHybrides (LYC)D231997-06-06No192 Lbs185 CMNoNoNo1Pro & Farm815,000$731,747$0$0$NoLien
Conor GarlandHybrides (LYC)RW241996-03-11No165 Lbs178 CMNoNoNo1Pro & Farm822,223$738,232$0$0$NoLien
Cooper MarodyHybrides (LYC)LW231996-12-20No173 Lbs183 CMNoNoNo1Pro & Farm1,000,000$897,849$0$0$NoLien
Dmytro TimashovHybrides (LYC)LW231996-09-30Yes195 Lbs178 CMNoNoNo2Pro & Farm836,111$750,701$0$0$No836,111$Lien
Dominik SimonHybrides (LYC)C/LW/RW261994-08-08No190 Lbs180 CMNoNoNo2Pro & Farm750,000$673,387$0$0$No750,000$Lien / Lien NHL
Joona LuotoHybrides (LYC)LW/RW221997-09-26Yes185 Lbs188 CMNoNoNo2Pro & Farm650,000$583,602$0$0$No650,000$Lien
Joonas KorpisaloHybrides (LYC)G261994-04-27No182 Lbs191 CMNoNoNo2Pro & Farm1,150,000$1,032,526$0$0$No1,150,000$Lien / Lien NHL
Josh MahuraHybrides (LYC)D221998-05-05No178 Lbs183 CMNoNoNo1Pro & Farm910,833$817,790$0$0$NoLien
Joshua JacobsHybrides (LYC)D241996-02-15No201 Lbs188 CMNoNoNo1Pro & Farm925,000$830,510$0$0$NoLien
Kaapo KahkonenHybrides (LYC)G241996-08-16Yes223 Lbs188 CMNoNoNo2Pro & Farm925,000$830,510$0$0$No925,000$Lien
Karson KuhlmanHybrides (LYC)RW241995-09-26No180 Lbs180 CMNoNoNo1Pro & Farm762,500$684,610$0$0$NoLien
Kiefer SherwoodHybrides (LYC)RW251995-03-31No180 Lbs180 CMNoNoNo1Pro & Farm925,000$830,510$0$0$NoLien
Laurent BrossoitHybrides (LYC)G271993-03-22No204 Lbs191 CMNoNoNo1Pro & Farm650,000$583,602$0$0$NoLien / Lien NHL
Matt BenningHybrides (LYC)D261994-05-25No204 Lbs185 CMNoNoNo1Pro & Farm1,900,000$1,705,913$0$0$NoLien / Lien NHL
Max VeronneauHybrides (LYC)RW241995-12-11No181 Lbs183 CMNoNoNo1Pro & Farm1,350,000$1,212,096$0$0$NoLien
Nathan BastianHybrides (LYC)RW221997-12-06No205 Lbs193 CMNoNoNo1Pro & Farm905,000$812,553$0$0$NoLien
Nick RitchieHybrides (LYC)LW241995-12-05No234 Lbs188 CMNoNoNo2Pro & Farm1,498,925$1,345,809$0$0$No1,498,925$Lien / Lien NHL
Riley StillmanHybrides (LYC)D221998-03-08No190 Lbs185 CMNoNoNo1Pro & Farm900,000$808,064$0$0$NoLien
Ryan KuffnerHybrides (LYC)LW241996-06-11No194 Lbs185 CMNoNoNo1Pro & Farm1,350,000$1,212,096$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.00191 Lbs185 CM1.30985,388$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieDominik SimonConor Garland40122
2Dmytro TimashovAntti SuomelaNathan Bastian30122
3Cooper MarodyNick RitchieKiefer Sherwood20122
4Brandon GignacConor GarlandKarson Kuhlman10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley StillmanBrennan Menell40122
2Caleb JonesJosh Mahura30122
3Matt BenningJoshua Jacobs20122
4Riley StillmanBrennan Menell10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieDominik SimonConor Garland60122
2Dmytro TimashovAntti SuomelaNathan Bastian40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley StillmanBrennan Menell60122
2Caleb JonesJosh Mahura40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick RitchieConor Garland60122
2Nathan BastianKiefer Sherwood40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley StillmanBrennan Menell60122
2Caleb JonesJosh Mahura40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Ritchie60122Riley StillmanBrennan Menell60122
2Conor Garland40122Caleb JonesJosh Mahura40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick RitchieConor Garland60122
2Nathan BastianKiefer Sherwood40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Riley StillmanBrennan Menell60122
2Caleb JonesJosh Mahura40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieDominik SimonConor GarlandRiley StillmanBrennan Menell
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieDominik SimonConor GarlandRiley StillmanBrennan Menell
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Max Veronneau, Ryan Kuffner, Karson KuhlmanMax Veronneau, Ryan KuffnerKarson Kuhlman
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Benning, Joshua Jacobs, Caleb JonesMatt BenningJoshua Jacobs, Caleb Jones
Tirs de Pénalité
Nick Ritchie, Conor Garland, Nathan Bastian, Kiefer Sherwood, Dmytro Timashov
Gardien
#1 : Kaapo Kahkonen, #2 : Joonas Korpisalo


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
1Barracuda11000000431000000000001100000043121.00046100010991271187795632106143133.33%3166.67%08016947.34%6817838.20%4610245.10%1961202067814472
2Benchwarmers11000000532110000005320000000000021.0005101500109913811877956398416200.00%2150.00%08016947.34%6817838.20%4610245.10%1961202067814472
3Caribou1010000013-21010000013-20000000000000.00012310109914111877956227420500.00%20100.00%08016947.34%6817838.20%4610245.10%1961202067814472
4Casse-Tete1000000123-1000000000001000000123-110.5002460010991351187795626136247114.29%30100.00%08016947.34%6817838.20%4610245.10%1961202067814472
5Chevalier11000000211000000000001100000021121.000235001099130118779563166166233.33%3166.67%08016947.34%6817838.20%4610245.10%1961202067814472
6Jardiniers1010000023-1000000000001010000023-100.000246001099140118779564644155120.00%2150.00%08016947.34%6817838.20%4610245.10%1961202067814472
7Leftovers11000000918110000009180000000000021.0009152400109913411877956341814135240.00%7185.71%08016947.34%6817838.20%4610245.10%1961202067814472
8Requins1010000013-2000000000001010000013-200.00012300109911811877956371312243133.33%6183.33%08016947.34%6817838.20%4610245.10%1961202067814472
Total9430010128235321000001578622001011316-3100.5562849771010991291118779563038966162411024.39%33778.79%08016947.34%6817838.20%4610245.10%1961202067814472
9Vagabond1000010023-1000000000001000010023-110.50023500109912811877956361010205240.00%5180.00%08016947.34%6817838.20%4610245.10%1961202067814472
_Since Last GM Reset9430010128235321000001578622001011316-3100.5562849771010991291118779563038966162411024.39%33778.79%08016947.34%6817838.20%4610245.10%1961202067814472
_Vs Conference42100001910-11010000013-23200000187150.6259152410109911331187795611136227421419.05%11281.82%08016947.34%6817838.20%4610245.10%1961202067814472
_Vs Division3110000089-1201000006601100000023-120.333816241010991119118779561071912511218.33%6266.67%08016947.34%6817838.20%4610245.10%1961202067814472

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
910L2284977291303896616210
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
94301012823
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000157
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
62201011316
Derniers 10 Matchs
WLOTWOTL SOWSOL
430101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
411024.39%33778.79%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
1187795610991
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
8016947.34%6817838.20%4610245.10%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1961202067814472


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 - 2020-10-122Hybrides2Casse-Tete3LXXSommaire du Match
3 - 2020-10-1411Hybrides2Vagabond3LXSommaire du Match
5 - 2020-10-1616Hybrides2Chevalier1WSommaire du Match
7 - 2020-10-1825Hybrides4Barracuda3WSommaire du Match
10 - 2020-10-2133Leftovers1Hybrides9WSommaire du Match
11 - 2020-10-2240Hybrides2Jardiniers3LSommaire du Match
15 - 2020-10-2651Benchwarmers3Hybrides5WSommaire du Match
16 - 2020-10-2756Hybrides1Requins3LSommaire du Match
19 - 2020-10-3063Caribou3Hybrides1LSommaire du Match
20 - 2020-10-3168Hybrides-Werewolves-
24 - 2020-11-0480Pirates-Hybrides-
25 - 2020-11-0585Hybrides-Diabotins-
29 - 2020-11-0999Royaux-Hybrides-
30 - 2020-11-10100Hooligans-Hybrides-
32 - 2020-11-12107Casse-Tete-Hybrides-
34 - 2020-11-14116Vagabond-Hybrides-
36 - 2020-11-16121Chevalier-Hybrides-
38 - 2020-11-18130Barracuda-Hybrides-
41 - 2020-11-21138Hybrides-Leftovers-
42 - 2020-11-22145Jardiniers-Hybrides-
46 - 2020-11-26156Hybrides-Benchwarmers-
47 - 2020-11-27161Requins-Hybrides-
50 - 2020-11-30168Hybrides-Caribou-
51 - 2020-12-01173Werewolves-Hybrides-
55 - 2020-12-05185Hybrides-Pirates-
56 - 2020-12-06190Diabotins-Hybrides-
60 - 2020-12-10204Hybrides-Royaux-
61 - 2020-12-11205Hybrides-Hooligans-
63 - 2020-12-13212Hybrides-Casse-Tete-
65 - 2020-12-15221Hybrides-Vagabond-
67 - 2020-12-17226Hybrides-Chevalier-
69 - 2020-12-19235Hybrides-Barracuda-
72 - 2020-12-22243Leftovers-Hybrides-
73 - 2020-12-23250Hybrides-Jardiniers-
77 - 2020-12-27261Benchwarmers-Hybrides-
78 - 2020-12-28266Hybrides-Requins-
81 - 2020-12-31273Caribou-Hybrides-
82 - 2021-01-01278Hybrides-Werewolves-
86 - 2021-01-05290Pirates-Hybrides-
87 - 2021-01-06295Hybrides-Diabotins-
91 - 2021-01-10309Royaux-Hybrides-
92 - 2021-01-11310Hooligans-Hybrides-
94 - 2021-01-13317Casse-Tete-Hybrides-
96 - 2021-01-15326Vagabond-Hybrides-
98 - 2021-01-17331Chevalier-Hybrides-
100 - 2021-01-19340Barracuda-Hybrides-
103 - 2021-01-22348Hybrides-Leftovers-
104 - 2021-01-23355Jardiniers-Hybrides-
108 - 2021-01-27366Hybrides-Benchwarmers-
109 - 2021-01-28371Requins-Hybrides-
112 - 2021-01-31378Hybrides-Caribou-
113 - 2021-02-01383Werewolves-Hybrides-
117 - 2021-02-05395Hybrides-Pirates-
118 - 2021-02-06400Diabotins-Hybrides-
122 - 2021-02-10414Hybrides-Royaux-
123 - 2021-02-11415Hybrides-Hooligans-
125 - 2021-02-13422Hybrides-Casse-Tete-
127 - 2021-02-15431Hybrides-Vagabond-
129 - 2021-02-17436Hybrides-Chevalier-
131 - 2021-02-19445Hybrides-Barracuda-
134 - 2021-02-22453Leftovers-Hybrides-
135 - 2021-02-23460Hybrides-Jardiniers-
139 - 2021-02-27471Benchwarmers-Hybrides-
140 - 2021-02-28476Hybrides-Requins-
143 - 2021-03-03483Caribou-Hybrides-
144 - 2021-03-04488Hybrides-Werewolves-
148 - 2021-03-08500Pirates-Hybrides-
149 - 2021-03-09505Hybrides-Diabotins-
153 - 2021-03-13519Royaux-Hybrides-
154 - 2021-03-14520Hooligans-Hybrides-
156 - 2021-03-16527Casse-Tete-Hybrides-
158 - 2021-03-18536Vagabond-Hybrides-
160 - 2021-03-20541Chevalier-Hybrides-
162 - 2021-03-22550Barracuda-Hybrides-
165 - 2021-03-25558Hybrides-Leftovers-
166 - 2021-03-26565Jardiniers-Hybrides-
170 - 2021-03-30576Hybrides-Benchwarmers-
171 - 2021-03-31581Requins-Hybrides-
174 - 2021-04-03588Hybrides-Caribou-
175 - 2021-04-04593Werewolves-Hybrides-
179 - 2021-04-08605Hybrides-Pirates-
180 - 2021-04-09610Diabotins-Hybrides-
184 - 2021-04-13624Hybrides-Royaux-
185 - 2021-04-14625Hybrides-Hooligans-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
231,515$ 2,266,392$ 1,668,588$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
12,185$ 231,515$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 167 12,185$ 2,034,895$




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
201683442203210243215427842221102151245731724122110115118781106118432751118315014214113625230827816835240282186415372877024.39%3084884.42%17943159259.23%952167356.90%669116457.47%1962126517936711292664
20178444230538132717615142276020701757110442171703311152105471183275749010501161049425670857838828231381860917212866121.33%3035083.50%11867172150.38%784163447.98%565108652.03%1987128118056861308667
201882333105643375248127412380243120410210241102303212171146259337564910240001461259527400918940851270694274415592854315.09%3537778.19%12957179153.43%889180949.14%641118853.96%1948123617296631302681
201984412803228281215664229701122152876542122102106129128110228150979023010187882978010049479932671101470617063175316.72%3406680.59%121133194458.28%1015183855.22%608112054.29%2029134418316601238624
20209430010128235321000001578622001011316-3102849771010991291118779563038966162411024.39%33778.79%08016947.34%6817838.20%4610245.10%1961202067814472
Total Saison Régulière3421661070161424151443816627170103330761747913404511726374098711652476176441144325323975413105144664141109911836833636351310395368429896685121623719.49%133724881.45%523980721755.15%3708713251.99%2529466054.27%812452487367276052862709
Séries
201612750000028280752000002016452300000812-41428477500071083600118101117377130100216371027.03%45686.67%015827357.88%13326250.76%9214165.25%28417828397191103
2019514000001019-92110000076130300000313-1021019290006131790735749175585810025312.00%29872.41%06413447.76%5911053.64%175729.82%11674112427435
Total Séries1789000003847-99630000027225826000001125-141638661040001311115390191158166552188158316621320.97%741481.08%022240754.55%19237251.61%10919855.05%400252396139265139