beholdershellpepitosKingspatriots

 

 


Diabotins

GP: 35 | W: 9 | L: 24 | OTL: 2 | P: 20
GF: 104 | GA: 140 | PP%: 20.97% | PK%: 77.88%
DG: Louis-Philippe Parent | Morale : 50 | Moyenne d'Équipe : 78
Prochain matchs #363 vs St Johns
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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
1Chandler Stephenson0X100.00443472446058847263837774645251050800
2Colin Wilson0XXX100.00483884337964516961847865716154050800
3Joonas Donskoi0X100.00403472334968677240848269815952050800
4Oskar Lindblom (R)0XX100.00692676474765766130767976634650047770
5Marko Dano0XXX100.00843465436539736734798156624742050730
6Seth Griffith0X100.00533364453952776134787670715246050730
7Tomas Hyka (R)0X100.00462289532755745930717657644938047690
8Brandon Manning0X100.00765054477865728431827570595363050850
9Robert Bortuzzo0X100.00825063488752648226807376595554050810
10Matt Irwin0X100.00723474487350828225817367655845047800
Rayé
MOYENNE D'ÉQUIPE100.0061367144605772713780776866535004978
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
1Jared Coreau100.0082916883818486848763734261050820
Rayé
MOYENNE D'ÉQUIPE100.008291688381848684876373426105082
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'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
1Chandler StephensonDiabotins (HEL)C35173350-32401687150548511.33%4783123.7641115251220002903157.20%9793231011.2013000142
2Marko DanoDiabotins (HEL)C/LW/RW35162339-82409652132487612.12%3075721.66639261130001422050.00%1244410111.0322000121
3Oskar LindblomDiabotins (HEL)LW/RW3517213801204180115376314.78%3578222.3556112212110141061140.48%2942523010.9713000002
4Robert BortuzzoDiabotins (HEL)D35102636124951456210438519.62%6783723.9321012281360002760150.00%22931010.8600001003
5Brandon ManningDiabotins (HEL)D35122234-45751517513856628.70%6693326.66459351620006790133.33%64722010.7300010301
6Matt IrwinDiabotins (HEL)D35101828-380766291364810.99%6274121.192351810701111131062.50%83125000.7600000012
7Joonas DonskoiDiabotins (HEL)RW119142316602183792024.32%422220.251346360001210042.11%1975012.0600000001
8Tomas HykaDiabotins (HEL)RW35101323-21403610612945987.75%7679922.851455730001180033.83%3343528010.5801000000
9Seth GriffithDiabotins (HEL)LW351011212240567391304810.99%2671520.44224121030003610044.74%1521417010.5901000000
Stats d'équipe Total ou en Moyenne291111181292-92081061961598735355111.25%413662122.75274774177976112216097448.91%1918264192180.884100115712
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
1Jared CoreauDiabotins (HEL)3592420.9043.692100011291347745000.80010350521
Stats d'équipe Total ou en Moyenne3592420.9043.692100011291347745000.80010350521


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
Brandon ManningDiabotins (HEL)D281990-06-04No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm975,000$0$0$NoLien / Lien NHL
Chandler StephensonDiabotins (HEL)C241994-04-22No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Colin WilsonHellpepitosC/LW/RW281989-10-20No221 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm3,938,000$3,938,000$2,447,946$NoLien / Lien NHL
Jared CoreauDiabotins (HEL)G261991-11-05No220 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm612,500$0$0$NoLien
Joonas DonskoiDiabotins (HEL)RW261992-04-13No190 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,900,000$0$0$NoLien / Lien NHL
Marko DanoDiabotins (HEL)C/LW/RW231994-11-30No212 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Matt IrwinDiabotins (HEL)D301987-11-29No207 Lbs185 CMNoNoNo1Sans RestrictionPro & Farm1,200,000$0$0$NoLien / Lien NHL
Oskar LindblomDiabotins (HEL)LW/RW221996-08-15Yes191 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien
Robert BortuzzoDiabotins (HEL)D291989-03-18No216 Lbs193 CMNoNoNo1Sans RestrictionPro & Farm1,380,000$0$0$NoLien / Lien NHL
Seth GriffithDiabotins (HEL)LW251993-01-04No190 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm625,000$0$0$NoLien / Lien NHL
Tomas HykaDiabotins (HEL)RW251993-03-23Yes160 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm710,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1126.00201 Lbs185 CM1.271,277,545$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomChandler StephensonMarko Dano40122
2Seth GriffithChandler StephensonTomas Hyka30122
3Marko DanoOskar LindblomSeth Griffith20122
4Tomas Hyka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon ManningRobert Bortuzzo40122
2Matt IrwinBrandon Manning30122
3Robert BortuzzoMatt Irwin20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oskar LindblomChandler StephensonMarko Dano60122
2Seth GriffithChandler StephensonTomas Hyka40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon ManningRobert Bortuzzo60122
2Matt IrwinBrandon Manning40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonOskar Lindblom60122
2Marko DanoSeth Griffith40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon ManningRobert Bortuzzo60122
2Matt Irwin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chandler Stephenson60122Brandon ManningRobert Bortuzzo60122
2Oskar Lindblom40122Matt Irwin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chandler StephensonOskar Lindblom60122
2Marko DanoSeth Griffith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon ManningRobert Bortuzzo60122
2Matt Irwin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomChandler StephensonMarko DanoBrandon ManningRobert Bortuzzo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Oskar LindblomChandler StephensonMarko DanoBrandon ManningRobert Bortuzzo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tomas Hyka, Marko Dano, Seth GriffithTomas Hyka, Marko DanoSeth Griffith
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Robert Bortuzzo, Matt Irwin, Brandon ManningRobert BortuzzoMatt Irwin, Brandon Manning
Tirs de Pénalité
Chandler Stephenson, Oskar Lindblom, Marko Dano, Seth Griffith, Tomas Hyka
Gardien
#1 : Jared Coreau, #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
1Barbarians30300000412-81010000024-22020000028-600.0004610003135355643123073273211740245211100.00%12191.67%030964348.06%37179246.84%25750950.49%696416875299549261
2Barracuda30300000612-61010000012-120200000510-500.00061016003135355813123073273210236166512325.00%8362.50%130964348.06%37179246.84%25750950.49%696416875299549261
3Benchwarmers10001000321000000000001000100032121.000347003135355263123073273238144213133.33%20100.00%030964348.06%37179246.84%25750950.49%696416875299549261
4Caribou2010010049-51000010034-11010000015-410.25047110031353555931230732732632964712216.67%4250.00%030964348.06%37179246.84%25750950.49%696416875299549261
5Casse-Tete20200000216-140000000000020200000216-1400.000246003135355583123073273273312304125.00%10100.00%030964348.06%37179246.84%25750950.49%696416875299549261
6Chevalier33000000945220000006331100000031261.0009152400313535574312307327321093914574250.00%7185.71%030964348.06%37179246.84%25750950.49%696416875299549261
7Evil Saints20200000613-70000000000020200000613-700.000610160031353556231230732732873212303133.33%60100.00%030964348.06%37179246.84%25750950.49%696416875299549261
8Hybrides2020000036-31010000023-11010000013-200.00035800313535553312307327327220104010110.00%50100.00%030964348.06%37179246.84%25750950.49%696416875299549261
9Jardiniers21000001440210000014400000000000030.750461000313535555312307327329817133913215.38%40100.00%030964348.06%37179246.84%25750950.49%696416875299549261
10Pirates2020000036-32020000036-30000000000000.000347003135355533123073273262186371100.00%30100.00%030964348.06%37179246.84%25750950.49%696416875299549261
11Remparts110000003703711000000370370000000000021.0003766103013135355393123073273214541511100.00%20100.00%030964348.06%37179246.84%25750950.49%696416875299549261
12Requins1010000013-2000000000001010000013-200.00012300313535527312307327324096217114.29%30100.00%030964348.06%37179246.84%25750950.49%696416875299549261
13Royaux412000101022-122010001058-321100000514-940.500101626003135355953123073273218060397720525.00%17570.59%030964348.06%37179246.84%25750950.49%696416875299549261
14St Johns2010001045-11010000024-21000001021120.500461000313535578312307327321053314266116.67%7357.14%030964348.06%37179246.84%25750950.49%696416875299549261
Total3562401121104140-36184110011172581417213010103282-50200.2861041762800131353559683123073273213574522166491242620.97%1042377.88%130964348.06%37179246.84%25750950.49%696416875299549261
16Werewolves30300000618-1220200000512-71010000016-500.0006111700313535594312307327321304932528337.50%16662.50%030964348.06%37179246.84%25750950.49%696416875299549261
17Zombie2020000028-62020000028-60000000000000.0002460031353555031230732732672014409111.11%7271.43%030964348.06%37179246.84%25750950.49%696416875299549261
_Since Last GM Reset3562401121104140-36184110011172581417213010103282-50200.2861041762800131353559683123073273213574522166491242620.97%1042377.88%130964348.06%37179246.84%25750950.49%696416875299549261
_Vs Conference92401011522032623000014614323010101066090.500528814001313535527831230732732357964715941614.63%21385.71%030964348.06%37179246.84%25750950.49%696416875299549261
_Vs Division1013010011933-14612000011313040101000620-1450.250193150003135355267312307327323821144118439615.38%18194.44%030964348.06%37179246.84%25750950.49%696416875299549261

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3520W1104176280968135745221664901
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
356241121104140
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1841101117258
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1721310103282
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1242620.97%1042377.88%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
312307327323135355
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
30964348.06%37179246.84%25750950.49%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
696416875299549261


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 - 2018-10-029Jardiniers1Diabotins2WSommaire du Match
3 - 2018-10-0313Diabotins3Benchwarmers2WXSommaire du Match
6 - 2018-10-0630Remparts0Diabotins37WSommaire du Match
9 - 2018-10-0941Diabotins1Caribou5LSommaire du Match
11 - 2018-10-1150Pirates2Diabotins1LSommaire du Match
12 - 2018-10-1258Diabotins1Requins3LSommaire du Match
15 - 2018-10-1567Barbarians4Diabotins2LSommaire du Match
17 - 2018-10-1783Barracuda2Diabotins1LSommaire du Match
19 - 2018-10-1992Diabotins3Barracuda5LSommaire du Match
20 - 2018-10-20101Diabotins3Royaux1WSommaire du Match
22 - 2018-10-22108St Johns4Diabotins2LSommaire du Match
24 - 2018-10-24119Diabotins1Casse-Tete11LSommaire du Match
25 - 2018-10-25128Diabotins1Barbarians3LSommaire du Match
27 - 2018-10-27136Royaux4Diabotins5WXXSommaire du Match
29 - 2018-10-29148Caribou4Diabotins3LXSommaire du Match
31 - 2018-10-31158Diabotins3Chevalier1WSommaire du Match
32 - 2018-11-01167Chevalier2Diabotins4WSommaire du Match
34 - 2018-11-03177Diabotins2Barracuda5LSommaire du Match
36 - 2018-11-05187Chevalier1Diabotins2WSommaire du Match
40 - 2018-11-09203Hybrides3Diabotins2LSommaire du Match
42 - 2018-11-11214Diabotins1Casse-Tete5LSommaire du Match
44 - 2018-11-13223Werewolves6Diabotins3LSommaire du Match
46 - 2018-11-15232Diabotins1Werewolves6LSommaire du Match
49 - 2018-11-18244Diabotins1Barbarians5LSommaire du Match
50 - 2018-11-19250Jardiniers3Diabotins2LXXSommaire du Match
52 - 2018-11-21266Pirates4Diabotins2LSommaire du Match
54 - 2018-11-23276Diabotins1Hybrides3LSommaire du Match
56 - 2018-11-25284Diabotins2Royaux13LSommaire du Match
57 - 2018-11-26290Werewolves6Diabotins2LSommaire du Match
60 - 2018-11-29303Diabotins3Evil Saints6LSommaire du Match
61 - 2018-11-30311Zombie5Diabotins2LSommaire du Match
63 - 2018-12-02323Diabotins3Evil Saints7LSommaire du Match
65 - 2018-12-04331Zombie3Diabotins0LSommaire du Match
68 - 2018-12-07345Royaux4Diabotins0LSommaire du Match
70 - 2018-12-09354Diabotins2St Johns1WXXSommaire du Match
72 - 2018-12-11363St Johns-Diabotins-
74 - 2018-12-13374Diabotins-St Johns-
75 - 2018-12-14383Giants-Diabotins-
78 - 2018-12-17395Diabotins-Hooligans-
80 - 2018-12-19402Giants-Diabotins-
82 - 2018-12-21412Diabotins-Pirates-
84 - 2018-12-23422Jardiniers-Diabotins-
86 - 2018-12-25433Diabotins-Pirates-
87 - 2018-12-26440Diabotins-Chevalier-
88 - 2018-12-27448Hybrides-Diabotins-
91 - 2018-12-30457Diabotins-Hybrides-
92 - 2018-12-31468Evil Saints-Diabotins-
94 - 2019-01-02482Diabotins-Caribou-
95 - 2019-01-03488Hooligans-Diabotins-
98 - 2019-01-06497Diabotins-Hooligans-
99 - 2019-01-07505Diabotins-Leftovers-
100 - 2019-01-08514Caribou-Diabotins-
103 - 2019-01-11528Diabotins-Caribou-
104 - 2019-01-12534Barbarians-Diabotins-
106 - 2019-01-14547Diabotins-Leftovers-
108 - 2019-01-16552Barbarians-Diabotins-
110 - 2019-01-18567Leftovers-Diabotins-
112 - 2019-01-20577Diabotins-Remparts-
114 - 2019-01-22588Pirates-Diabotins-
116 - 2019-01-24597Diabotins-Requins-
119 - 2019-01-27609Evil Saints-Diabotins-
121 - 2019-01-29623Diabotins-Giants-
122 - 2019-01-30628Requins-Diabotins-
123 - 2019-01-31637Diabotins-Requins-
125 - 2019-02-02648Requins-Diabotins-
127 - 2019-02-04657Diabotins-Zombie-
129 - 2019-02-06667Diabotins-Remparts-
130 - 2019-02-07673Diabotins-Benchwarmers-
131 - 2019-02-08677Remparts-Diabotins-
134 - 2019-02-11693Casse-Tete-Diabotins-
136 - 2019-02-13704Diabotins-Jardiniers-
138 - 2019-02-15712Hooligans-Diabotins-
142 - 2019-02-19724Diabotins-Giants-
143 - 2019-02-20733Benchwarmers-Diabotins-
146 - 2019-02-23747Diabotins-Zombie-
148 - 2019-02-25755Leftovers-Diabotins-
151 - 2019-02-28767Diabotins-Jardiniers-
152 - 2019-03-01775Benchwarmers-Diabotins-
154 - 2019-03-03787Diabotins-Werewolves-
156 - 2019-03-05794Diabotins-Benchwarmers-
157 - 2019-03-06800Barracuda-Diabotins-
161 - 2019-03-10819Casse-Tete-Diabotins-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
356,143$ 1,011,500$ 511,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
6,244$ 356,143$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 6,244$ 574,448$




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
2016841841062611241311-70421114042561501419427270201591170-7936241362603118271761820856916366921292854105426115832645018.94%1291786.82%2512136637.48%503165830.34%374111233.63%1633101522676631245591
201784165205506136447-311429220440377232-155427300110359215-156321362423782432485111180555558263558248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
20183562401121104140-36184110011172581417213010103282-50201041762800131353559683123073273213574522166491242620.97%1042377.88%130964348.06%37179246.84%25750950.49%696416875299549261
Total Saison Régulière287781480161311218111211-4001444759099812462564-102143318907439349647-2981648111318212958263264257417627248024612549256915733511412521697719920.37%70412682.10%282333515845.23%2300551341.72%1723400942.98%597537307080232343902135
Séries
201640400000322-192020000037-420200000015-15033600030077292123416958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
201640400000510-52020000025-32020000035-2058130001409420472341505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
20171697000004754-78620000028208835000001934-151847801270019121335461821891631257421386238862427.91%43881.40%016139840.45%12636134.90%8322437.05%359243411130223105
Total Séries24915000005586-31126600000333211239000002254-32185591146001916173717231257209208933281153721172823.93%551278.18%018354933.33%16955630.40%9831930.72%493322670195332154