hellpepitosKingspatriots

 

 


Caribou

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 12 | GA: 54 | PP%: 25.00% | PK%: 80.00%
DG: Nicolas Martine | Morale : 50 | Moyenne d'Équipe : 66
Prochain matchs #42 vs Pirates
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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
1Jean-Gabriel Pageau0X100.00743066385081676982798177696159050730
2Dmitrij Jaskin0XX100.00852769448051796632777952745947050670
3Valeri Nichushkin (R)0X100.00772485497854756250787854704943050670
4Michael Dal Colle0X100.00402379477056816231747955674549050660
5Brendan Lemieux0X100.00854130388040867239748249664254050660
6Sam Carrick (R)0X100.00464478677546815633657466675979050630
7Alexander Nylander0XX100.00291974505556785934677665674037050620
8Michael McCarron0X100.00734552689338865734667262664761050610
9Trent Frederic (R)0X100.00533169656742815837667255673446050600
10Nicolas Roy0X100.00422776697231835633657063684355050580
11Logan Brown0X100.00282482608342835631647169683441050570
12Morgan Klimchuk0X100.00282387655132845631646969684646050540
13Travis Dermott0X100.00773066446460728329837650654449050700
14Erik Gudbranson0X100.00834154488766547925797471685758050700
15Noah Juulsen0X100.00833072486065747830797467663750050690
16Brett Lernout0X100.00554078598260806830726960674658050660
17Samuel Morin0X100.00474371618147796731726959684262050640
18Ryan Lindgren (R)0X100.00453072576154836731726954683555050640
19Andreas Englund0X100.00413376606147826731726961684760050630
20Dillon Heatherington0X100.00473467608534826831727155674857050620
21Jakub Zboril (R)0X100.00382686636038836731726953684443050610
Rayé
MOYENNE D'ÉQUIPE100.0056327155715079653572736068465305064
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
1Mike Smith100.0092769289919392909299844578050850
2Charlie Lindgren100.0082898376828686868953724762050780
3Sam Montembeault (R)100.0083908379828985859091642848050780
Rayé
MOYENNE D'ÉQUIPE100.008685868185898887908173406305080
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett70707070707070CAN572450,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jean-Gabriel PageauCaribou (MOO)C44151408141131136.36%38822.173035170000201054.37%10303001.1301000100
2Brendan LemieuxCaribou (MOO)LW5325010093121525.00%16713.42303617000031050.00%250001.4900000010
3Dmitrij JaskinCaribou (MOO)LW/RW4044100228490.00%36616.62033117000030025.00%451001.2000000000
4Travis DermottCaribou (MOO)D40330801118730.00%310325.90033320000015000.00%030000.5800000000
5Valeri NichushkinCaribou (MOO)RW40331004411370.00%28621.65011316000121000.00%331000.6901000001
6Noah JuulsenCaribou (MOO)D4112-2608761516.67%48521.4000001500008000.00%042000.4700000000
7Trent FredericCaribou (MOO)C411200044101010.00%16516.32011317000220126.23%6151000.6100000000
8Michael Dal ColleCaribou (MOO)LW411200013100410.00%05213.020000100001000.00%310000.7700000001
9Sam CarrickCaribou (MOO)RW41120000212398.33%36215.67011417000000150.00%212000.6400000000
10Samuel MorinCaribou (MOO)D4011300322030.00%25213.100000000000000.00%031000.3800000000
11Jakub ZborilCaribou (MOO)D4011300141020.00%56215.6000000000010000.00%001000.3200000000
12Alexander NylanderCaribou (MOO)LW/RW4011020033120.00%04912.4200001000000050.00%211000.4000000000
13Nicolas RoyCaribou (MOO)C41010007540425.00%14611.5900000000000037.93%2921000.4300000001
14Erik GudbransonCaribou (MOO)D4011080121116520.00%910225.68011220000013000.00%021000.1900000000
15Ryan LindgrenCaribou (MOO)D4000-200233310.00%28521.47000016000211000.00%001000.0000000000
16Logan BrownCaribou (MOO)C4000000055350.00%0328.1800000000000033.33%2120000.0000000000
17Morgan KlimchukCaribou (MOO)LW5000000034010.00%0326.5500000000000033.33%311000.0000000000
18Michael McCarronCaribou (MOO)RW4000020954240.00%24210.5200000000050075.00%431000.0000000000
Stats d'équipe Total ou en Moyenne741221335400818113037779.23%41118516.01610162718100051172241.35%2374118000.5602000113
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
1Mike SmithCaribou (MOO)42110.9401.9724400813467010.000240210
Stats d'équipe Total ou en Moyenne42110.9401.9724400813467010.000240210


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
Alexander NylanderCaribou (MOO)LW/RW211998-03-02No192 Lbs185 CMNoNoNo3Contrat d'EntréePro & Farm1,713,333$0$0$NoLien
Andreas EnglundCaribou (MOO)D231996-01-21No189 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Brendan LemieuxCaribou (MOO)LW231996-03-15No215 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,039,169$0$0$NoLien
Brett LernoutCaribou (MOO)D241995-09-24No214 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm653,333$0$0$NoLien / Lien NHL
Charlie LindgrenCaribou (MOO)G251993-12-18No182 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Dillon HeatheringtonCaribou (MOO)D241995-05-09No225 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Dmitrij JaskinCaribou (MOO)LW/RW261993-03-23No216 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Erik GudbransonCaribou (MOO)D271992-01-07No217 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm4,000,000$0$0$NoLien / Lien NHL
Jakub ZborilCaribou (MOO)D221997-02-21Yes200 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,288,333$0$0$NoLien
Jean-Gabriel PageauCaribou (MOO)C261992-11-11No184 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm3,100,000$0$0$NoLien / Lien NHL
Logan BrownCaribou (MOO)C211998-03-05No220 Lbs198 CMNoNoNo1Contrat d'EntréePro & Farm1,604,166$0$0$NoLien
Michael Dal ColleCaribou (MOO)LW231996-06-20No204 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm3,063,333$0$0$NoLien
Michael McCarronCaribou (MOO)RW241995-03-07No230 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm874,125$0$0$NoLien
Mike SmithCaribou (MOO)G371982-03-22No220 Lbs196 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Morgan KlimchukCaribou (MOO)LW241995-03-02No185 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm863,333$0$0$NoLien
Nicolas RoyCaribou (MOO)C221997-02-05No205 Lbs193 CMNoNoNo1Contrat d'EntréePro & Farm790,000$0$0$NoLien
Noah JuulsenCaribou (MOO)D221997-04-02No193 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,063,000$0$0$NoLien
Ryan LindgrenCaribou (MOO)D211998-02-11Yes201 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,100,000$0$0$NoLien
Sam CarrickCaribou (MOO)RW271992-02-04Yes204 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Sam MontembeaultCaribou (MOO)G221996-10-30Yes208 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Samuel MorinCaribou (MOO)D241995-07-12No202 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Travis DermottCaribou (MOO)D221996-12-22No204 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Trent FredericCaribou (MOO)C211998-02-11Yes203 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien
Valeri NichushkinCaribou (MOO)RW241995-03-04Yes210 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm2,950,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.96205 Lbs191 CM1.671,361,582$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dmitrij JaskinJean-Gabriel PageauValeri Nichushkin40122
2Brendan LemieuxTrent FredericSam Carrick30122
3Michael Dal ColleNicolas RoyAlexander Nylander20122
4Morgan KlimchukLogan BrownMichael McCarron10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottErik Gudbranson40122
2Noah JuulsenRyan Lindgren30122
3Samuel MorinJakub Zboril20122
4Travis DermottErik Gudbranson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dmitrij JaskinJean-Gabriel PageauValeri Nichushkin60122
2Brendan LemieuxTrent FredericSam Carrick40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottErik Gudbranson60122
2Noah JuulsenRyan Lindgren40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jean-Gabriel PageauValeri Nichushkin60122
2Dmitrij JaskinBrendan Lemieux40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottErik Gudbranson60122
2Noah JuulsenRyan Lindgren40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jean-Gabriel Pageau60122Travis DermottErik Gudbranson60122
2Valeri Nichushkin40122Noah JuulsenRyan Lindgren40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jean-Gabriel PageauValeri Nichushkin60122
2Dmitrij JaskinBrendan Lemieux40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottErik Gudbranson60122
2Noah JuulsenRyan Lindgren40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dmitrij JaskinJean-Gabriel PageauValeri NichushkinTravis DermottErik Gudbranson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dmitrij JaskinJean-Gabriel PageauValeri NichushkinTravis DermottErik Gudbranson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Dal Colle, Alexander Nylander, Michael McCarronMichael Dal Colle, Alexander NylanderMichael McCarron
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Morin, Jakub Zboril, Noah JuulsenSamuel MorinJakub Zboril, Noah Juulsen
Tirs de Pénalité
Jean-Gabriel Pageau, Valeri Nichushkin, Dmitrij Jaskin, Brendan Lemieux, Michael Dal Colle
Gardien
#1 : Mike Smith, #2 : Sam Montembeault


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
1Casse-Tete1010000035-2000000000001010000035-200.000358105520314445378401010234250.00%5180.00%0379638.54%4111336.28%269327.96%9865139386730
2Jardiniers1000000123-11000000123-10000000000010.5002350055203344453784012824400.00%4175.00%0379638.54%4111336.28%269327.96%9865139386730
3Leftovers11000000413110000004130000000000021.0004711005520294445378286121310330.00%6183.33%0379638.54%4111336.28%269327.96%9865139386730
4Royaux11000000312110000003120000000000021.000369005520374445378271310215120.00%5180.00%0379638.54%4111336.28%269327.96%9865139386730
Total522000011254-423200000195420200000349-4650.500122133105520132444537818456408624625.00%20480.00%0379638.54%4111336.28%269327.96%9865139386730
6Werewolves10100000044-440000000000010100000044-4400.00000000552024445378491505100.00%000.00%0379638.54%4111336.28%269327.96%9865139386730
_Since Last GM Reset522000011254-423200000195420200000349-4650.500122133105520132444537818456408624625.00%20480.00%0379638.54%4111336.28%269327.96%9865139386730
_Vs Conference31200000650-441100000031220200000349-4620.3336111710552070444537811638204910330.00%10280.00%0379638.54%4111336.28%269327.96%9865139386730
_Vs Division1100000023-11100000023-10000000000021.0002350055203344453784012824400.00%4175.00%0379638.54%4111336.28%269327.96%9865139386730

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55SOL112213313218456408610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52200011254
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
320000195
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000349
Derniers 10 Matchs
WLOTWOTL SOWSOL
220001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24625.00%20480.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
44453785520
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
379638.54%4111336.28%269327.96%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9865139386730


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 - 2019-10-063Caribou0Werewolves44LSommaire du Match
3 - 2019-10-0814Royaux1Caribou3WSommaire du Match
5 - 2019-10-1019Leftovers1Caribou4WSommaire du Match
6 - 2019-10-1125Caribou3Casse-Tete5LSommaire du Match
8 - 2019-10-1333Jardiniers3Caribou2LXXSommaire du Match
11 - 2019-10-1642Caribou-Pirates-
13 - 2019-10-1850Benchwarmers-Caribou-
14 - 2019-10-1956Caribou-Hooligans-
16 - 2019-10-2162Caribou-Vagabond-
17 - 2019-10-2267Caribou-Leftovers-
19 - 2019-10-2473Werewolves-Caribou-
21 - 2019-10-2683Jardiniers-Caribou-
23 - 2019-10-2891Caribou-Hybrides-
24 - 2019-10-2996Caribou-Werewolves-
26 - 2019-10-31101Caribou-Barracuda-
27 - 2019-11-01105Hybrides-Caribou-
29 - 2019-11-03115Caribou-Pirates-
31 - 2019-11-05121Diabotins-Caribou-
33 - 2019-11-07129Caribou-Werewolves-
34 - 2019-11-08135Chevalier-Caribou-
36 - 2019-11-10141Caribou-Chevalier-
37 - 2019-11-11150Diabotins-Caribou-
40 - 2019-11-14157Caribou-Leftovers-
41 - 2019-11-15164Casse-Tete-Caribou-
43 - 2019-11-17175Caribou-Hybrides-
44 - 2019-11-18179Pirates-Caribou-
46 - 2019-11-20186Caribou-Casse-Tete-
49 - 2019-11-23195Benchwarmers-Caribou-
51 - 2019-11-25203Caribou-Vagabond-
52 - 2019-11-26211Vagabond-Caribou-
55 - 2019-11-29220Caribou-Jardiniers-
56 - 2019-11-30225Hybrides-Caribou-
59 - 2019-12-03235Caribou-Royaux-
60 - 2019-12-04240Hybrides-Caribou-
62 - 2019-12-06247Caribou-Diabotins-
63 - 2019-12-07255Jardiniers-Caribou-
65 - 2019-12-09262Caribou-Casse-Tete-
66 - 2019-12-10269Pirates-Caribou-
70 - 2019-12-14283Barracuda-Caribou-
71 - 2019-12-15292Jardiniers-Caribou-
73 - 2019-12-17296Caribou-Benchwarmers-
77 - 2019-12-21310Leftovers-Caribou-
79 - 2019-12-23319Chevalier-Caribou-
80 - 2019-12-24326Werewolves-Caribou-
82 - 2019-12-26332Caribou-Barracuda-
85 - 2019-12-29338Caribou-Requins-
86 - 2019-12-30348Caribou-Werewolves-
89 - 2020-01-02356Royaux-Caribou-
90 - 2020-01-03366Vagabond-Caribou-
94 - 2020-01-07378Leftovers-Caribou-
97 - 2020-01-10388Caribou-Jardiniers-
98 - 2020-01-11393Requins-Caribou-
102 - 2020-01-15405Caribou-Hybrides-
103 - 2020-01-16411Werewolves-Caribou-
105 - 2020-01-18419Caribou-Benchwarmers-
107 - 2020-01-20426Hooligans-Caribou-
108 - 2020-01-21436Leftovers-Caribou-
110 - 2020-01-23440Caribou-Pirates-
113 - 2020-01-26450Caribou-Hooligans-
114 - 2020-01-27455Hybrides-Caribou-
116 - 2020-01-29465Caribou-Diabotins-
118 - 2020-01-31469Royaux-Caribou-
120 - 2020-02-02480Jardiniers-Caribou-
121 - 2020-02-03487Caribou-Casse-Tete-
123 - 2020-02-05494Caribou-Jardiniers-
125 - 2020-02-07498Caribou-Barracuda-
126 - 2020-02-08504Barracuda-Caribou-
129 - 2020-02-11511Diabotins-Caribou-
131 - 2020-02-13518Caribou-Pirates-
132 - 2020-02-14524Caribou-Royaux-
135 - 2020-02-17532Requins-Caribou-
136 - 2020-02-18538Caribou-Requins-
139 - 2020-02-21545Benchwarmers-Caribou-
141 - 2020-02-23557Casse-Tete-Caribou-
142 - 2020-02-24560Caribou-Chevalier-
144 - 2020-02-26571Caribou-Vagabond-
145 - 2020-02-27574Caribou-Chevalier-
147 - 2020-02-29581Benchwarmers-Caribou-
150 - 2020-03-03591Werewolves-Caribou-
152 - 2020-03-05601Caribou-Hooligans-
154 - 2020-03-07607Hooligans-Caribou-
156 - 2020-03-09613Caribou-Leftovers-
158 - 2020-03-11617Caribou-Hooligans-
161 - 2020-03-14625Hooligans-Caribou-



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
200,480$ 3,267,795$ 2,094,912$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
20,048$ 200,480$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 20,048$ 3,067,344$




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
201684204901572275313-38421024013311541431142102500241121170-49402754527271082114711322637577557295428391091121112052474217.00%3159171.11%8669150044.60%730190538.32%489118341.34%1704109721646731227584
201684412805235431209222422390321421784133421819020212141258982431754118502133163127152461790866791482670974145115902568332.42%3996483.96%14855161952.81%1050194054.12%625122151.19%1832115319846871276633
201784224904252187286-9942142301130107131-24428260312280155-75441873155023247805115211260375372757269895035016803195115.99%1764276.14%2627144943.27%629161139.04%414103440.04%164496321097081334658
2017843032066462662343242151404414139115244215180223212711986026644170702898384112429811784783832635948101615872615019.16%4608082.61%11738158746.50%898197545.47%454107642.19%1785112820747081255592
201882304301323346321254116200121117717344114230011216914821603465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20188233360344244535095411915023112341587641142101131211192196644565611011016514712610276495498081241327211416399343078728.34%3017973.75%2683158743.04%727196337.04%596137243.44%1666107620926561205581
2019522000011254-423200000195420200000349-465122133105520132444537818456408624625.00%20480.00%0379638.54%4111336.28%269327.96%9865139386730
Total Saison Régulière5051782390202225211962176719525399105012151012103780922825279134087159925958-3335719623225518787640713564681466847694991473034617323619752218732169837922.32%191341978.10%424262937045.49%48401133742.69%3130718543.56%10418648912522415076733746
Séries
201640400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819
20161046000002527-25230000014122523000001115-482545700071152291816810438351126102228371232.43%42685.71%07320236.14%7524131.12%3911833.05%2121202859817785
201740400000822-142020000058-320200000314-11081321001520100353232114358186615320.00%9455.56%0447657.89%418846.59%205834.48%7343108336029
201740400000714-72020000047-32020000037-407111800043011736453601344863611417.14%24866.67%0278830.68%5010249.02%174240.48%855498345626
2018514000001534-192110000069-330300000925-162152237003741179435673723176344922731.82%17476.47%03211228.57%3613426.87%247830.77%8755148376731
Total Séries275220000059123-6413310000003144-1314212000002879-51105998157001229153780226236272461031347239474962323.96%1032377.67%018654534.13%21765733.03%10934931.23%522314768233411192