hellpepitosKingspatriots

 

 


Royaux

GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 14 | GA: 12 | PP%: 22.22% | PK%: 76.47%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 67
Prochain matchs #43 vs Benchwarmers
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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
1Pavel Zacha0X100.00632366367473727180798274754945050730
2Luke Kunin0X100.00733058375672746962798071713757050710
3Christian Fischer0X100.00782465357462807134778155654241050690
4Zach Sanford0X100.00673065397656657162808250653644050690
5Logan Shaw0X100.00783070477755806361767866706054050680
6Michael Rasmussen (R)0X100.00782754378356726842788155713247050680
7Henrik Borgstrom0X100.00382277365856857071787751663337050670
8Valentin Zykov0X100.00632875397748786533768053664645050660
9Jakob Forsbacka Karlsson0X100.00441978455054816162768152673939050650
10Daniel Carr0X100.00552774486053776233727955654748050640
11Michael McLeod (R)0X100.00702965605556815948687657673759050630
12Owen Tippett0X100.00312283627251825731647166683438050600
13Markus Nutivaara0X100.00581576445863728328847750634838050700
14Haydn Fleury0X100.00702671497351757830797342664757050680
15Jacob Larsson0X100.00571866486262787831807356664439050680
16Julius Honka0X100.00532363464549778031807441664842050670
17Cale Makar (R)0X100.00412183484763827131747254682739050660
18Gabriel Carlsson0X100.00401974596440776830727051674137050610
Rayé
1Derek Grant0XX100.00793067438252766982788170695652050700
2Nicolas Deslauriers0X100.00914352488549756366737951606160050670
3Alan Quine0X100.00662465556648706139707854715245050630
4Seth Griffith0X100.00362375605148775731667461735547050600
5Nicolas Kerdiles0X100.00313283686918755631646967683946050510
6Xavier Ouellet0X100.00693166476356908029817449655669050700
7Mitch Reinke0X100.00262283574548846731966856683245050660
8Jeremy Lauzon (R)0X100.00473380596756816931737060673755050650
9Trevor Carrick0X100.00344176607035836731726854685068050620
MOYENNE D'ÉQUIPE100.0057267149655378684376765667444805066
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
1Pheonix Copley100.0086898786869290899080784868050820
2Maxime Lagace100.0082898277818882849053625359050770
Rayé
MOYENNE D'ÉQUIPE100.008489858284908687906770516405080
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo87928481728350CAN462450,000$


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
1Pavel ZachaRoyaux (KLA)C5347140423256912.00%411823.652245130113150064.91%11461101.1800000100
2Jacob LarssonRoyaux (KLA)D5055460176210.00%610220.4200021301106000.00%022000.9800000000
3Christian FischerRoyaux (KLA)RW5235040104143614.29%38416.9412351400004000.00%332001.1800000100
4Zach SanfordRoyaux (KLA)LW522414063213119.52%48717.40123514000051050.00%430000.9200000001
5Luke KuninRoyaux (KLA)C53031209151710517.65%510621.330005131011190154.41%6830000.5600000001
6Henrik BorgstromRoyaux (KLA)C521310047134615.38%28216.5400000000091155.56%4511000.7300000010
7Gabriel CarlssonRoyaux (KLA)D5022000064120.00%17414.880000000005000.00%001000.5400000000
8Markus NutivaaraRoyaux (KLA)D5112-2408718265.56%712825.74000714000116000.00%023000.3100000010
9Haydn FleuryRoyaux (KLA)D5011-200947420.00%412825.63011214000117000.00%011000.1600000000
10Jakob Forsbacka KarlssonRoyaux (KLA)C5011000126350.00%1357.0200000000000040.00%2530000.5700000000
11Daniel CarrRoyaux (KLA)LW51010203662916.67%37114.21000000000010100.00%134000.2800000000
12Owen TippettRoyaux (KLA)RW5011000043010.00%0357.020000000000000.00%001000.5700000000
13Logan ShawRoyaux (KLA)RW50110006107570.00%37114.340000000000000.00%032000.2800000000
14Julius HonkaRoyaux (KLA)D5011320913110.00%110120.3100001300017000.00%011000.2000000000
15Michael RasmussenRoyaux (KLA)RW501106076141040.00%48416.95000313000000060.00%571000.2400000000
16Valentin ZykovRoyaux (KLA)LW5000000289130.00%18316.75000213000000050.00%631000.0000000000
17Cale MakarRoyaux (KLA)D5000000181110.00%36813.660000000000000.00%000000.0000000000
18Michael McLeodRoyaux (KLA)C5000000110110.00%1163.2300000000000025.00%410000.0000000000
Stats d'équipe Total ou en Moyenne9014243873408112217459808.05%53148016.4547113614012371093256.73%2754221100.5100000222
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
1Pheonix CopleyRoyaux (KLA)53200.9152.51287011214182100.000050110
2Maxime LagaceRoyaux (KLA)10001.0000.001500021000.000005000
Stats d'équipe Total ou en Moyenne63200.9162.38302011214383100.000055110


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
Alan QuineRoyaux (KLA)C261993-02-25No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Cale MakarRoyaux (KLA)D201998-10-30Yes187 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm2,854,166$0$0$NoLien
Christian FischerRoyaux (KLA)RW221997-04-15No214 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,075,833$0$0$NoLien
Daniel CarrRoyaux (KLA)LW271991-11-01No193 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Derek GrantRoyaux (KLA)C/LW291990-04-20No215 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Gabriel CarlssonRoyaux (KLA)D221997-01-02No192 Lbs196 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien / Lien NHL
Haydn FleuryRoyaux (KLA)D231996-07-08No208 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,713,333$0$0$NoLien
Henrik BorgstromRoyaux (KLA)C221997-08-06No190 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Jacob LarssonRoyaux (KLA)D221997-04-29No197 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Jakob Forsbacka KarlssonRoyaux (KLA)C221996-10-31No184 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Jeremy LauzonRoyaux (KLA)D221997-04-28Yes204 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm871,666$0$0$NoLien
Julius HonkaRoyaux (KLA)D231995-12-03No180 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm1,363,333$0$0$NoLien
Logan ShawRoyaux (KLA)RW261992-10-05No208 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Luke KuninRoyaux (KLA)C211997-12-04No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,425,000$0$0$NoLien
Markus NutivaaraRoyaux (KLA)D251994-06-06No191 Lbs185 CMNoNoNo4Avec RestrictionPro & Farm2,700,000$0$0$NoLien / Lien NHL
Maxime LagaceRoyaux (KLA)G261993-01-12No190 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Michael McLeodRoyaux (KLA)C211998-02-03Yes188 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,363,333$0$0$NoLien
Michael RasmussenRoyaux (KLA)RW201999-04-17Yes221 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm1,710,833$0$0$NoLien
Mitch ReinkeRoyaux (KLA)D231996-02-04No181 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nicolas DeslauriersRoyaux (KLA)LW281991-02-22No221 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Nicolas KerdilesRoyaux (KLA)LW251994-01-11No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Owen TippettRoyaux (KLA)RW201999-02-16No216 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,658,333$0$0$NoLien
Pavel ZachaRoyaux (KLA)C221997-04-06No210 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Pheonix CopleyRoyaux (KLA)G271992-01-18No200 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Seth GriffithRoyaux (KLA)LW261993-01-04No190 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Trevor CarrickRoyaux (KLA)D251994-07-04No196 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm670,000$0$0$NoLien
Valentin ZykovRoyaux (KLA)LW241995-05-15No220 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien
Xavier OuelletRoyaux (KLA)D261993-07-29No196 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Zach SanfordRoyaux (KLA)LW241994-11-09No207 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.76200 Lbs188 CM1.551,115,891$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordPavel ZachaChristian Fischer40122
2Valentin ZykovLuke KuninMichael Rasmussen30122
3Daniel CarrHenrik BorgstromLogan Shaw20122
4Pavel ZachaJakob Forsbacka KarlssonOwen Tippett10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraHaydn Fleury40122
2Jacob LarssonJulius Honka30122
3Cale MakarGabriel Carlsson20122
4Markus NutivaaraHaydn Fleury10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordPavel ZachaChristian Fischer60122
2Valentin ZykovLuke KuninMichael Rasmussen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraHaydn Fleury60122
2Jacob LarssonJulius Honka40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Pavel ZachaLuke Kunin60122
2Christian FischerZach Sanford40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraHaydn Fleury60122
2Jacob LarssonJulius Honka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Pavel Zacha60122Markus NutivaaraHaydn Fleury60122
2Luke Kunin40122Jacob LarssonJulius Honka40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pavel ZachaLuke Kunin60122
2Christian FischerZach Sanford40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraHaydn Fleury60122
2Jacob LarssonJulius Honka40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordPavel ZachaChristian FischerMarkus NutivaaraHaydn Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordPavel ZachaChristian FischerMarkus NutivaaraHaydn Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael McLeod, Logan Shaw, Henrik BorgstromMichael McLeod, Logan ShawHenrik Borgstrom
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cale Makar, Gabriel Carlsson, Jacob LarssonCale MakarGabriel Carlsson, Jacob Larsson
Tirs de Pénalité
Pavel Zacha, Luke Kunin, Christian Fischer, Zach Sanford, Michael Rasmussen
Gardien
#1 : Pheonix Copley, #2 : Maxime Lagace


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
1Caribou1010000013-2000000000001010000013-200.00011200526127675452137910215120.00%5180.00%07011560.87%559458.51%316646.97%11473111407737
2Diabotins11000000303110000003030000000000021.000358015261366754521168218200.00%10100.00%07011560.87%559458.51%316646.97%11473111407737
3Hooligans10001000431100010004310000000000021.0004812005261316754521341712102150.00%6266.67%07011560.87%559458.51%316646.97%11473111407737
4Pirates11000000312000000000001100000031221.000347005261436754521308822200.00%4175.00%17011560.87%559458.51%316646.97%11473111407737
Total5220100014122210010007343120000079-260.600142438015261174675452114353348118422.22%17476.47%17011560.87%559458.51%316646.97%11473111407737
6Vagabond1010000035-2000000000001010000035-200.00036900526137675452126112107228.57%10100.00%07011560.87%559458.51%316646.97%11473111407737
_Since Last GM Reset5220100014122210010007343120000079-260.600142438015261174675452114353348118422.22%17476.47%17011560.87%559458.51%316646.97%11473111407737
_Vs Conference1010000013-2000000000001010000013-200.00011200526127675452137910215120.00%5180.00%07011560.87%559458.51%316646.97%11473111407737
_Vs Division2010000056-1100000004311010000013-200.0005914005261586754521712622317228.57%11372.73%07011560.87%559458.51%316646.97%11473111407737

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
56W114243817414353348101
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52210001412
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210100073
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
312000079
Derniers 10 Matchs
WLOTWOTL SOWSOL
320000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18422.22%17476.47%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
67545215261
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
7011560.87%559458.51%316646.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11473111407737


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 - 2019-10-078Hooligans3Royaux4WXSommaire du Match
3 - 2019-10-0814Royaux1Caribou3LSommaire du Match
6 - 2019-10-1122Diabotins0Royaux3WSommaire du Match
7 - 2019-10-1228Royaux3Vagabond5LSommaire du Match
9 - 2019-10-1435Royaux3Pirates1WSommaire du Match
11 - 2019-10-1643Benchwarmers-Royaux-
14 - 2019-10-1952Jardiniers-Royaux-
15 - 2019-10-2059Royaux-Casse-Tete-
17 - 2019-10-2268Hooligans-Royaux-
19 - 2019-10-2474Royaux-Hooligans-
20 - 2019-10-2579Royaux-Chevalier-
22 - 2019-10-2786Diabotins-Royaux-
24 - 2019-10-2994Royaux-Chevalier-
26 - 2019-10-31102Leftovers-Royaux-
28 - 2019-11-02110Leftovers-Royaux-
30 - 2019-11-04117Royaux-Leftovers-
32 - 2019-11-06125Hooligans-Royaux-
34 - 2019-11-08134Royaux-Barracuda-
35 - 2019-11-09140Hooligans-Royaux-
36 - 2019-11-10146Royaux-Benchwarmers-
39 - 2019-11-13155Requins-Royaux-
41 - 2019-11-15161Royaux-Hooligans-
42 - 2019-11-16168Royaux-Pirates-
44 - 2019-11-18176Chevalier-Royaux-
45 - 2019-11-19183Barracuda-Royaux-
47 - 2019-11-21191Royaux-Requins-
49 - 2019-11-23199Royaux-Barracuda-
51 - 2019-11-25205Royaux-Hybrides-
52 - 2019-11-26210Benchwarmers-Royaux-
55 - 2019-11-29218Werewolves-Royaux-
57 - 2019-12-01229Royaux-Diabotins-
59 - 2019-12-03235Caribou-Royaux-
61 - 2019-12-05244Leftovers-Royaux-
62 - 2019-12-06252Royaux-Pirates-
64 - 2019-12-08257Royaux-Chevalier-
65 - 2019-12-09265Werewolves-Royaux-
68 - 2019-12-12275Royaux-Casse-Tete-
69 - 2019-12-13279Diabotins-Royaux-
71 - 2019-12-15288Royaux-Casse-Tete-
72 - 2019-12-16293Royaux-Diabotins-
74 - 2019-12-18300Pirates-Royaux-
76 - 2019-12-20308Casse-Tete-Royaux-
77 - 2019-12-21314Royaux-Jardiniers-
80 - 2019-12-24321Royaux-Vagabond-
82 - 2019-12-26330Chevalier-Royaux-
84 - 2019-12-28337Royaux-Benchwarmers-
86 - 2019-12-30344Casse-Tete-Royaux-
88 - 2020-01-01352Royaux-Leftovers-
89 - 2020-01-02356Royaux-Caribou-
90 - 2020-01-03362Hybrides-Royaux-
92 - 2020-01-05373Royaux-Vagabond-
93 - 2020-01-06376Hybrides-Royaux-
96 - 2020-01-09385Royaux-Requins-
97 - 2020-01-10390Benchwarmers-Royaux-
99 - 2020-01-12399Royaux-Hooligans-
101 - 2020-01-14404Jardiniers-Royaux-
102 - 2020-01-15407Royaux-Werewolves-
104 - 2020-01-17418Barracuda-Royaux-
106 - 2020-01-19425Royaux-Hooligans-
108 - 2020-01-21433Royaux-Requins-
109 - 2020-01-22438Hybrides-Royaux-
113 - 2020-01-26449Vagabond-Royaux-
115 - 2020-01-28460Royaux-Werewolves-
116 - 2020-01-29464Jardiniers-Royaux-
118 - 2020-01-31469Royaux-Caribou-
120 - 2020-02-02479Requins-Royaux-
121 - 2020-02-03483Royaux-Hooligans-
122 - 2020-02-04491Royaux-Hybrides-
124 - 2020-02-06496Casse-Tete-Royaux-
129 - 2020-02-11509Royaux-Jardiniers-
130 - 2020-02-12514Leftovers-Royaux-
132 - 2020-02-14524Caribou-Royaux-
135 - 2020-02-17533Royaux-Barracuda-
137 - 2020-02-19540Hooligans-Royaux-
139 - 2020-02-21548Royaux-Diabotins-
141 - 2020-02-23555Diabotins-Royaux-
144 - 2020-02-26568Pirates-Royaux-
145 - 2020-02-27575Royaux-Casse-Tete-
147 - 2020-02-29582Jardiniers-Royaux-
149 - 2020-03-02589Royaux-Chevalier-
151 - 2020-03-04597Vagabond-Royaux-
153 - 2020-03-06604Royaux-Chevalier-
157 - 2020-03-10614Vagabond-Royaux-
160 - 2020-03-13623Werewolves-Royaux-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
198,530$ 3,236,083$ 2,009,417$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,853$ 198,530$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 19,853$ 3,037,509$




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
20168425520040338931079421324003022241457942122800101165165050389596985111331271290259786286487082941105745913473303610.91%1694672.78%1509175029.09%461173126.63%391124831.33%1749118621936371120523
2017843032066462662343242151404414139115244215180223212711986026644170702898384112429811784783832635948101615872615019.16%4608082.61%11738158746.50%898197545.47%454107642.19%1785112820747081255592
201784402501396310340-304226900142180172842141601254130168-388031053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201882432400546491283208412611002112671381294117130033522414579864917431234201921701256332412351143938502960102837411503438725.36%1784873.03%1933200046.65%711164143.33%612131946.40%1937134518696131171582
201882432404245465289176412710000312401241164116140421422516560864658311296021901581091032211166105197556263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
20195220100014122210010007343120000079-26142438015261174675452114353348118422.22%17476.47%17011560.87%559458.51%316646.97%11473111407737
Total Saison Régulière421183159012202126193514684672101086805109101057697360211759107101216878771107368193531715106412707644551411434949904783444929013622479034337496157831620.03%156130980.20%524300905147.51%4113884046.53%2926625746.76%963163839747334661753028
Séries
20161046000002527-25230000014122523000001115-482545700071152291816810438351126102228371232.43%42685.71%07320236.14%7524131.12%3911833.05%2121202859817785
201740400000714-72020000047-32020000037-407111800043011736453601344863611417.14%24866.67%0278830.68%5010249.02%174240.48%855498345626
2017158700000292817430000013112844000001617-11629558410156534181571161133242716412025765710.77%60886.67%116229554.92%18131657.28%10417858.43%358224349136252126
2018734000002523233000000169740400000914-5625315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
20181156000003539-45230000019181633000001621-510355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
Total Séries47202700000121131-10221111000006657925916000005574-194012119932020533427715555534514539815565944659382054120.00%2105076.19%4481107944.58%488107945.23%26060143.26%10976851152423767374