hellpepitosKingspatriots

 

 


Diabotins

GP: 9 | W: 2 | L: 7 | OTL: 0 | P: 4
GF: 35 | GA: 79 | PP%: 23.26% | PK%: 53.85%
DG: Louis-Philippe Parent | Morale : 50 | Moyenne d'Équipe : 60
Prochain matchs #66 vs Hooligans
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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
1Riley Barber (R)0X100.00787378667075775850424266614545050650262715,000$
2Tyson Jost0XXX100.007242908569639066425047612561620506402211,673,333$
3Ryan Donato0X100.007061948367608566415049628058590506402411,900,000$
4Miles Wood0X100.008050719274648362254948622562630506402512,750,000$
5Tyler Graovac0XX100.00837790728164615265383870545151050630271650,000$
6Eric Robinson0X100.00814591627557786435484759255151050610251874,125$
7Lias Andersson0X100.007843877870557156504745702551510506102111,744,166$
8Jonathan Davidsson (R)0X100.00746789766752535050373761464444050560232850,000$
9Ethan Bear0X100.00756184857179796325413875255959050630232798,333$
10Victor Mete0X100.00624191816570825825413965256060050600222870,000$
11Ben Harpur0X100.00817171658565645925353468375959050580251725,000$
12Oliver Kylington0X100.00684290796761716125413863255555050580231863,333$
13Christian Jaros0X100.00784386637658725425433859255454050560241801,667$
14Jake Dotchin0X100.00777149657957595330343369385656050540261800,000$
15Daniel Brickley0X100.00807786567750524625303063374444050490251700,000$
Rayé
MOYENNE D'ÉQUIPE100.0076588374736272583642406537545405060
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
1Eric Comrie100.0058658465626256615655304444050610
Rayé
MOYENNE D'ÉQUIPE100.005865846562625661565530444405061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Ryan DonatoDiabotins (HEL)C98917-10207933162224.24%115717.485381235000090031.79%151392012.1600000111
2Matthew NietoDiabotins (HEL)LW/RW941216-110052025101816.00%921023.4125711350000361032.76%583516011.5200000100
3Miles WoodDiabotins (HEL)LW96612-9100321034153617.65%718020.100223301011101042.86%7545001.3300000010
4Ethan BearDiabotins (HEL)D92810-17401124234198.70%2723726.36134639011229000.00%0415000.8400000000
5Tyson JostDiabotins (HEL)C/LW/RW96410-10408626122423.08%216518.43112530000000039.57%139193001.2100000001
6Riley BarberDiabotins (HEL)RW9437-122011101841322.22%921423.800113350000380046.15%13310010.6500000001
7Eric RobinsonDiabotins (HEL)LW9404-1500872692615.38%614816.46000000000100033.33%9146000.5400000000
8Ben HarpurDiabotins (HEL)D9033-1512071012460.00%718320.34022026000015000.00%0412000.3300000000
9Oliver KylingtonDiabotins (HEL)D9123-16403912638.33%1023826.53101439000031000.00%0318000.2500000000
10Tyler GraovacDiabotins (HEL)C/RW9033-92091272120.00%516418.24000130000000040.00%507000.3700000000
11Jake DotchinDiabotins (HEL)D9022-4220996430.00%811412.670000000000000.00%003000.3500000000
12Victor MeteDiabotins (HEL)D5101-1203612438.33%611623.28101212000116000.00%0410000.1700000000
13Christian JarosDiabotins (HEL)D9011-166011910250.00%1718820.96000126000220000.00%0011000.1100000000
14Daniel BrickleyDiabotins (HEL)D9000-500843040.00%1112213.6400000000011000.00%018000.0000000000
15Jonathan DavidssonDiabotins (HEL)RW9000-1580118173130.00%613314.7900000000000040.00%5172000.0000000000
16Lias AnderssonDiabotins (HEL)C9000-320617260.00%1353.9100000000000036.36%1150000.0000000000
Stats d'équipe Total ou en Moyenne140365389-1688001491542719721313.28%132261018.651117284834311262312035.68%398202128030.6800000223
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
1Eric ComrieDiabotins (HEL)92700.8046.574930054276160200.000090000
Stats d'équipe Total ou en Moyenne92700.8046.574930054276160200.000090000


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
Ben HarpurDiabotins (HEL)D251995-01-12No222 Lbs198 CMNoNoNo1Pro & Farm725,000$650,940$0$0$NoLien
Christian JarosDiabotins (HEL)D241996-04-02No201 Lbs191 CMNoNoNo1Pro & Farm801,667$719,776$0$0$NoLien
Daniel BrickleyDiabotins (HEL)D251995-03-30No205 Lbs191 CMNoNoNo1Pro & Farm700,000$628,494$0$0$NoLien
Eric ComrieDiabotins (HEL)G251995-07-05No175 Lbs185 CMNoNoNo1Pro & Farm650,000$583,602$0$0$NoLien
Eric RobinsonDiabotins (HEL)LW251995-06-14No201 Lbs188 CMNoNoNo1Pro & Farm874,125$784,832$0$0$NoLien
Ethan BearDiabotins (HEL)D231997-06-26No198 Lbs180 CMNoNoNo2Pro & Farm798,333$716,782$0$0$No798,333$Lien
Jake DotchinDiabotins (HEL)D261994-03-24No210 Lbs191 CMNoNoNo1Pro & Farm800,000$718,279$0$0$NoLien / Lien NHL
Jonathan DavidssonDiabotins (HEL)RW231997-03-12Yes185 Lbs180 CMNoNoNo2Pro & Farm850,000$763,172$0$0$No850,000$Lien
Lias AnderssonDiabotins (HEL)C211998-10-13No198 Lbs180 CMNoNoNo1Pro & Farm1,744,166$1,565,998$0$0$NoLien
Miles WoodDiabotins (HEL)LW251995-09-13No195 Lbs188 CMNoNoNo1Pro & Farm2,750,000$2,469,086$0$0$NoLien / Lien NHL
Oliver KylingtonDiabotins (HEL)D231997-05-19No183 Lbs183 CMNoNoNo1Pro & Farm863,333$775,143$0$0$NoLien
Riley BarberDiabotins (HEL)RW261994-02-07Yes193 Lbs183 CMNoNoNo2Pro & Farm715,000$641,962$0$0$No715,000$
Ryan DonatoDiabotins (HEL)C241996-04-09No181 Lbs183 CMNoNoNo1Pro & Farm1,900,000$1,705,913$0$0$NoLien
Tyler GraovacDiabotins (HEL)C/RW271993-04-26No212 Lbs196 CMNoNoNo1Pro & Farm650,000$583,602$0$0$NoLien / Lien NHL
Tyson JostDiabotins (HEL)C/LW/RW221998-03-14No191 Lbs180 CMNoNoNo1Pro & Farm1,673,333$1,502,401$0$0$NoLien / Lien NHL
Victor MeteDiabotins (HEL)D221998-06-07No184 Lbs178 CMNoNoNo2Pro & Farm870,000$781,129$0$0$No870,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1624.13196 Lbs185 CM1.251,085,310$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew NietoRyan DonatoRiley Barber40122
2Miles WoodTyson JostTyler Graovac30122
3Eric RobinsonJonathan Davidsson20122
4Matthew NietoLias AnderssonRiley Barber10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearOliver Kylington40122
2Ben HarpurChristian Jaros30122
3Jake DotchinDaniel Brickley20122
4Ethan BearOliver Kylington10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew NietoRyan DonatoRiley Barber60122
2Miles WoodTyson JostTyler Graovac40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearOliver Kylington60122
2Ben HarpurChristian Jaros40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matthew NietoRiley Barber60122
2Miles WoodRyan Donato40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearOliver Kylington60122
2Ben HarpurChristian Jaros40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matthew Nieto60122Ethan BearOliver Kylington60122
2Riley Barber40122Ben HarpurChristian Jaros40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matthew NietoRiley Barber60122
2Miles WoodRyan Donato40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ethan BearOliver Kylington60122
2Ben HarpurChristian Jaros40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew NietoRyan DonatoRiley BarberEthan BearOliver Kylington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matthew NietoRyan DonatoRiley BarberEthan BearOliver Kylington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Lias Andersson, Eric Robinson, Lias AnderssonEric Robinson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Dotchin, Daniel Brickley, Ben HarpurJake DotchinDaniel Brickley, Ben Harpur
Tirs de Pénalité
Matthew Nieto, Riley Barber, Miles Wood, Ryan Donato, Tyson Jost
Gardien
#1 : Eric Comrie, #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
1Barracuda10100000513-80000000000010100000513-800.000561100121112034888498036146132150.00%330.00%15016430.49%4914533.79%6217335.84%1881172147613765
2Caribou1100000010731100000010730000000000021.00010152500121112030888498034128147342.86%330.00%05016430.49%4914533.79%6217335.84%1881172147613765
3Casse-Tete1010000018-7000000000001010000018-700.000123001211120288884980261510176116.67%5180.00%05016430.49%4914533.79%6217335.84%1881172147613765
4Jardiniers10100000112-110000000000010100000112-1100.00012300121112030888498038116145120.00%3233.33%05016430.49%4914533.79%6217335.84%1881172147613765
5Leftovers1100000010371100000010370000000000021.00010172700121112037888498029208176350.00%4250.00%05016430.49%4914533.79%6217335.84%1881172147613765
6Pirates1010000016-51010000016-50000000000000.0001230012111202488849803316420300.00%20100.00%05016430.49%4914533.79%6217335.84%1881172147613765
7Requins1010000035-2000000000001010000035-200.000347001211120318884980242212175120.00%6183.33%05016430.49%4914533.79%6217335.84%1881172147613765
Total927000003579-443210000021165606000001463-4940.222355388001211120270888498030112980152431023.26%391853.85%15016430.49%4914533.79%6217335.84%1881172147613765
8Vagabond10100000313-100000000000010100000313-1000.0003360012111202288849804581619500.00%8450.00%05016430.49%4914533.79%6217335.84%1881172147613765
9Werewolves10100000112-110000000000010100000112-1100.00012300121112034888498036111021400.00%5260.00%05016430.49%4914533.79%6217335.84%1881172147613765
_Since Last GM Reset927000003579-443210000021165606000001463-4940.222355388001211120270888498030112980152431023.26%391853.85%15016430.49%4914533.79%6217335.84%1881172147613765
_Vs Conference514000001839-2121100000119230300000730-2320.200182846001211120144888498016977468724520.83%23960.87%05016430.49%4914533.79%6217335.84%1881172147613765
_Vs Division30300000519-141010000016-520200000413-900.00058130012111208388849808353265414214.29%13284.62%05016430.49%4914533.79%6217335.84%1881172147613765

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
94L23553882703011298015200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
92700003579
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100002116
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
60600001463
Derniers 10 Matchs
WLOTWOTL SOWSOL
270000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
431023.26%391853.85%1
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
88849801211120
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
5016430.49%4914533.79%6217335.84%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1881172147613765


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 - 2020-10-138Diabotins5Barracuda13LSommaire du Match
3 - 2020-10-1410Diabotins1Werewolves12LSommaire du Match
6 - 2020-10-1723Diabotins1Jardiniers12LSommaire du Match
11 - 2020-10-2239Diabotins3Requins5LSommaire du Match
12 - 2020-10-2341Diabotins1Casse-Tete8LSommaire du Match
14 - 2020-10-2547Leftovers3Diabotins10WSommaire du Match
15 - 2020-10-2650Caribou7Diabotins10WSommaire du Match
17 - 2020-10-2858Diabotins3Vagabond13LSommaire du Match
19 - 2020-10-3065Pirates6Diabotins1LSommaire du Match
20 - 2020-10-3166Hooligans-Diabotins-
24 - 2020-11-0481Diabotins-Royaux-
25 - 2020-11-0585Hybrides-Diabotins-
29 - 2020-11-0998Diabotins-Chevalier-
30 - 2020-11-10103Benchwarmers-Diabotins-
33 - 2020-11-13113Barracuda-Diabotins-
34 - 2020-11-14115Werewolves-Diabotins-
37 - 2020-11-17128Jardiniers-Diabotins-
42 - 2020-11-22144Requins-Diabotins-
43 - 2020-11-23146Casse-Tete-Diabotins-
45 - 2020-11-25152Diabotins-Leftovers-
46 - 2020-11-26155Diabotins-Caribou-
48 - 2020-11-28163Vagabond-Diabotins-
50 - 2020-11-30170Diabotins-Pirates-
51 - 2020-12-01171Diabotins-Hooligans-
55 - 2020-12-05186Royaux-Diabotins-
56 - 2020-12-06190Diabotins-Hybrides-
60 - 2020-12-10203Chevalier-Diabotins-
61 - 2020-12-11208Diabotins-Benchwarmers-
64 - 2020-12-14218Diabotins-Barracuda-
65 - 2020-12-15220Diabotins-Werewolves-
68 - 2020-12-18233Diabotins-Jardiniers-
73 - 2020-12-23249Diabotins-Requins-
74 - 2020-12-24251Diabotins-Casse-Tete-
76 - 2020-12-26257Leftovers-Diabotins-
77 - 2020-12-27260Caribou-Diabotins-
79 - 2020-12-29268Diabotins-Vagabond-
81 - 2020-12-31275Pirates-Diabotins-
82 - 2021-01-01276Hooligans-Diabotins-
86 - 2021-01-05291Diabotins-Royaux-
87 - 2021-01-06295Hybrides-Diabotins-
91 - 2021-01-10308Diabotins-Chevalier-
92 - 2021-01-11313Benchwarmers-Diabotins-
95 - 2021-01-14323Barracuda-Diabotins-
96 - 2021-01-15325Werewolves-Diabotins-
99 - 2021-01-18338Jardiniers-Diabotins-
104 - 2021-01-23354Requins-Diabotins-
105 - 2021-01-24356Casse-Tete-Diabotins-
107 - 2021-01-26362Diabotins-Leftovers-
108 - 2021-01-27365Diabotins-Caribou-
110 - 2021-01-29373Vagabond-Diabotins-
112 - 2021-01-31380Diabotins-Pirates-
113 - 2021-02-01381Diabotins-Hooligans-
117 - 2021-02-05396Royaux-Diabotins-
118 - 2021-02-06400Diabotins-Hybrides-
122 - 2021-02-10413Chevalier-Diabotins-
123 - 2021-02-11418Diabotins-Benchwarmers-
126 - 2021-02-14428Diabotins-Barracuda-
127 - 2021-02-15430Diabotins-Werewolves-
130 - 2021-02-18443Diabotins-Jardiniers-
135 - 2021-02-23459Diabotins-Requins-
136 - 2021-02-24461Diabotins-Casse-Tete-
138 - 2021-02-26467Leftovers-Diabotins-
139 - 2021-02-27470Caribou-Diabotins-
141 - 2021-03-01478Diabotins-Vagabond-
143 - 2021-03-03485Pirates-Diabotins-
144 - 2021-03-04486Hooligans-Diabotins-
148 - 2021-03-08501Diabotins-Royaux-
149 - 2021-03-09505Hybrides-Diabotins-
153 - 2021-03-13518Diabotins-Chevalier-
154 - 2021-03-14523Benchwarmers-Diabotins-
157 - 2021-03-17533Barracuda-Diabotins-
158 - 2021-03-18535Werewolves-Diabotins-
161 - 2021-03-21548Jardiniers-Diabotins-
166 - 2021-03-26564Requins-Diabotins-
167 - 2021-03-27566Casse-Tete-Diabotins-
169 - 2021-03-29572Diabotins-Leftovers-
170 - 2021-03-30575Diabotins-Caribou-
172 - 2021-04-01583Vagabond-Diabotins-
174 - 2021-04-03590Diabotins-Pirates-
175 - 2021-04-04591Diabotins-Hooligans-
179 - 2021-04-08606Royaux-Diabotins-
180 - 2021-04-09610Diabotins-Hybrides-
184 - 2021-04-13623Chevalier-Diabotins-
185 - 2021-04-14628Diabotins-Benchwarmers-



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
199,146$ 1,933,996$ 1,877,414$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
10,398$ 199,146$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 167 10,398$ 1,736,466$




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
2016834522073244391912484128702112251851664217150521218810682115439768120704013813315925770822880845219181092918282736222.71%3185582.70%141019163962.17%965156761.58%774120664.18%2065136316996581263654
2016831841062511238309-71411114042461471398427270201591170-7971238358596110827075205106876256782828104125715532604918.85%1271786.61%2505134637.52%498163030.55%371110333.64%1608100022446551228583
2017842439073653042455942161405313169104654282502052135141-6823045308342301121017825620826851831231275771418812814415.66%3486780.75%141029172959.51%997159862.39%701112562.31%2049133717766711298660
201784165205506136447-311429220440377232-155427300110359215-1565313624237824032485118050555582635248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
201882393005314399222177412480231321410011441152203001185122639739971311121201591261082914010699368872830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
201882185103325305322-1741102301214164150144182802111141172-315430552382824077119104235207737537903198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
201984115404249130255-125428220322578106-28423320102452149-9749130216346310273857196605516677123186113940615482573915.18%2044876.47%6606139943.32%791199539.65%41293943.88%158591822196901310655
2020927000003579-443210000021165606000001463-494355388001211120270888498030112980152431023.26%391853.85%15016430.49%4914533.79%6217335.84%1881172147613765
Total Saison Régulière59117329603721204419862070-84293108111021171026112193218929865185016410188651138-2735251986340353891119126386476321649788536753925378193316951418111582197637719.08%192037080.73%7156241094451.39%60211232148.87%4104812250.53%12751796214043480791164544
Séries
2016954000001918153200000101004220000098110193251000936293011370106247941141932328.70%43783.72%212118665.05%13519369.95%7510273.53%2451711776712565
201640400000322-192020000037-420200000015-15033600003077029212316958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
Total Séries1358000002240-18734000001317-462400000923-141022355700096637001429112941615212825733412.12%501178.00%213725054.80%16029753.87%8415155.63%3132103069918390