hellpepitosKingspatriots

 

 


Royaux

GP: 37 | W: 15 | L: 21 | OTL: 1 | P: 31
GF: 99 | GA: 116 | PP%: 18.67% | PK%: 74.65%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 67
Prochain matchs #279 vs Diabotins
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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
3Derek Grant0XX100.00793067438252766982788170695652050700
4Christian Fischer0X100.00782465357462807134778155654241050690
5Zach Sanford0X100.00673065397656657162808250653644050690
6Logan Shaw0X100.00783070477755806361767866706054050680
7Michael Rasmussen (R)0X100.00782754378356726842788155713247050680
8Henrik Borgstrom0X100.00382277365856857071787751663337050670
9Valentin Zykov0X100.00632875397748786533768053664645050660
10Michael McLeod (R)0X100.00702965605556815948687657673759050630
11Seth Griffith0X100.00362375605148775731667461735547050610
12Owen Tippett0X100.00312283627251825731647166683438050600
13Xavier Ouellet0X100.00693166476356908029817449655669050710
14Markus Nutivaara0X100.00581576445863728328847750634838050700
15Jacob Larsson0X100.00571866486262787831807356664439050690
16Haydn Fleury0X100.00702671497351757830797342664757050680
17Julius Honka0X100.00532363464549778031807441664842050670
18Cale Makar (R)0X100.00412183484763827131747254682739050660
Rayé
1Nicolas Deslauriers0X100.00914352488549756366737951606160050670
2Jakob Forsbacka Karlsson0X100.00441978455054816162768152673939050650
3Daniel Carr0X100.00552774486053776233727955654748050640
4Alan Quine0X100.00662465556648706139707854715245050630
5Nicolas Kerdiles0X100.00313283686918755631646967683946050510
6Mitch Reinke0X100.00262283574548846731966856683245050660
7Jeremy Lauzon (R)0X100.00473380596756816931737060673755050650
8Trevor Carrick0X100.00344176607035836731726854685068050620
9Gabriel Carlsson0X100.00401974596440776830727051674137050610
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 Lagace100.0082898277818882849053625359050780
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'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
1Pavel ZachaRoyaux (KLA)C37142236-12404311415149899.27%5577420.9241115311250114582065.85%7762214200.9302000221
2Luke KuninRoyaux (KLA)C37131427-102807380126385010.32%2968418.5031013331251013852257.34%3541819000.7902000111
3Christian FischerRoyaux (KLA)RW3791625-128080469338669.68%1765917.845611261300000181136.73%491610010.7622000221
4Henrik BorgstromRoyaux (KLA)C3791322080204985336010.59%1662416.8812311700002561153.72%417154000.7000000013
5Markus NutivaaraRoyaux (KLA)D3771522-2114036307929398.86%5489724.26459271120002136110.00%03316000.4900000012
6Zach SanfordRoyaux (KLA)LW37912212280583013033866.92%1565317.6735825870004512183.33%30324000.6401000112
7Valentin ZykovRoyaux (KLA)LW3781119-60052379425468.51%1459716.1424616114000010059.38%32234000.6400000200
8Jacob LarssonRoyaux (KLA)D3741519022028575119247.84%5077320.9121316111011179000.00%0822000.4900000101
9Michael RasmussenRoyaux (KLA)RW378917-626064488226419.76%1859416.081127490005911053.33%30275000.5701000111
10Xavier OuelletRoyaux (KLA)D2021012310031163614305.56%1637718.86213178500000000.00%058000.6400000011
11Derek GrantRoyaux (KLA)C/LW2035816024224912306.12%721310.6500000000010061.33%7598000.7500000010
12Cale MakarRoyaux (KLA)D372682007513710135.41%5077620.99022685000177100.00%0318000.2100000010
13Logan ShawRoyaux (KLA)RW37268-514035506219403.23%2440610.9900000000001071.43%21167000.3901000000
14Haydn FleuryRoyaux (KLA)D37156-128034163716112.70%2567318.20022453000269000.00%073000.1800000100
15Daniel CarrRoyaux (KLA)LW17246-14012192915206.90%723814.0000000000001057.14%7107000.5000000000
16Michael McLeodRoyaux (KLA)C37066-34024424512180.00%133158.52011160008940046.31%244169000.3800000000
17Julius HonkaRoyaux (KLA)D3723513803682713167.41%1669618.82101453000275100.00%0169000.1400000000
18Owen TippettRoyaux (KLA)RW1313410021312388.33%613010.04011520000000033.33%362000.6100000000
19Jakob Forsbacka KarlssonRoyaux (KLA)C171230405122312184.35%21186.9500000000000049.25%6763000.5100000000
20Gabriel CarlssonRoyaux (KLA)D8022-100094120.00%211814.780000000008000.00%001000.3400000000
21Nicolas DeslauriersRoyaux (KLA)LW19101-4140288216164.76%21548.1300000000000062.50%8100000.1300000000
22Seth GriffithRoyaux (KLA)LW2000-100002110.00%0189.390000000000000.00%220000.0000000000
Stats d'équipe Total ou en Moyenne63498179277-62280069275712754247247.69%4381049716.5628528022912331233490514658.30%2115300173210.5329000111213
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)189810.9162.8010720150595333300.66761819310
2Maxime LagaceRoyaux (KLA)2061300.8993.3611600065641325001.00031918010
Stats d'équipe Total ou en Moyenne38152110.9073.092232011151236658300.77893737320


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
Alan QuineRoyaux (KLA)C261993-02-25No203 Lbs183 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien / Lien NHL
Cale MakarRoyaux (KLA)D201998-10-30Yes187 Lbs180 CMNoNoNo2Pro & Farm2,854,166$1,663,470$0$0$No2,854,166$Lien
Christian FischerRoyaux (KLA)RW221997-04-15No214 Lbs188 CMNoNoNo2Pro & Farm1,075,833$627,019$0$0$No1,075,833$Lien
Daniel CarrRoyaux (KLA)LW271991-11-01No193 Lbs183 CMNoNoNo1Pro & Farm725,000$422,546$0$0$NoLien / Lien NHL
Derek GrantRoyaux (KLA)C/LW291990-04-20No215 Lbs191 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien / Lien NHL
Gabriel CarlssonRoyaux (KLA)D221997-01-02No192 Lbs196 CMNoNoNo2Pro & Farm894,166$521,139$0$0$No894,166$Lien / Lien NHL
Haydn FleuryRoyaux (KLA)D231996-07-08No208 Lbs191 CMNoNoNo1Pro & Farm1,713,333$998,568$0$0$NoLien
Henrik BorgstromRoyaux (KLA)C221997-08-06No190 Lbs191 CMNoNoNo1Pro & Farm1,491,666$869,375$0$0$NoLien
Jacob LarssonRoyaux (KLA)D221997-04-29No197 Lbs188 CMNoNoNo2Pro & Farm894,166$521,139$0$0$No894,166$Lien
Jakob Forsbacka KarlssonRoyaux (KLA)C221996-10-31No184 Lbs185 CMNoNoNo2Pro & Farm925,000$539,110$0$0$No925,000$Lien / Lien NHL
Jeremy LauzonRoyaux (KLA)D221997-04-28Yes204 Lbs185 CMNoNoNo2Pro & Farm871,666$508,026$0$0$No871,666$Lien
Julius HonkaRoyaux (KLA)D231995-12-03No180 Lbs180 CMNoNoNo2Pro & Farm1,363,333$794,580$0$0$No1,363,333$Lien
Logan ShawRoyaux (KLA)RW261992-10-05No208 Lbs191 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien / Lien NHL
Luke KuninRoyaux (KLA)C211997-12-04No195 Lbs183 CMNoNoNo1Pro & Farm1,425,000$830,521$0$0$NoLien
Markus NutivaaraRoyaux (KLA)D251994-06-06No191 Lbs185 CMNoNoNo4Pro & Farm2,700,000$1,573,619$0$0$No2,700,000$2,700,000$2,700,000$Lien / Lien NHL
Maxime LagaceRoyaux (KLA)G261993-01-12No190 Lbs188 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien
Michael McLeodRoyaux (KLA)C211998-02-03Yes188 Lbs188 CMNoNoNo2Pro & Farm1,363,333$794,580$0$0$No1,363,333$Lien
Michael RasmussenRoyaux (KLA)RW201999-04-17Yes221 Lbs198 CMNoNoNo2Pro & Farm1,710,833$997,111$0$0$No1,710,833$Lien
Mitch ReinkeRoyaux (KLA)D231996-02-04No181 Lbs180 CMNoNoNo1Pro & Farm925,000$539,110$0$0$NoLien
Nicolas DeslauriersRoyaux (KLA)LW281991-02-22No221 Lbs185 CMNoNoNo1Pro & Farm775,000$451,687$0$0$NoLien / Lien NHL
Nicolas KerdilesRoyaux (KLA)LW251994-01-11No200 Lbs188 CMNoNoNo2Pro & Farm650,000$378,834$0$0$No650,000$Lien / Lien NHL
Owen TippettRoyaux (KLA)RW201999-02-16No216 Lbs185 CMNoNoNo1Pro & Farm1,658,333$966,513$0$0$NoLien
Pavel ZachaRoyaux (KLA)C221997-04-06No210 Lbs191 CMNoNoNo1Pro & Farm925,000$539,110$0$0$NoLien / Lien NHL
Pheonix CopleyRoyaux (KLA)G271992-01-18No200 Lbs193 CMNoNoNo1Pro & Farm650,000$378,834$0$0$NoLien
Seth GriffithRoyaux (KLA)LW261993-01-04No190 Lbs175 CMNoNoNo2Pro & Farm650,000$378,834$0$0$No650,000$Lien / Lien NHL
Trevor CarrickRoyaux (KLA)D251994-07-04No196 Lbs188 CMNoNoNo1Pro & Farm670,000$390,490$0$0$NoLien
Valentin ZykovRoyaux (KLA)LW241995-05-15No220 Lbs183 CMNoNoNo2Pro & Farm675,000$393,404$0$0$No675,000$Lien
Xavier OuelletRoyaux (KLA)D261993-07-29No196 Lbs183 CMNoNoNo1Pro & Farm1,250,000$728,527$0$0$NoLien / Lien NHL
Zach SanfordRoyaux (KLA)LW241994-11-09No207 Lbs193 CMNoNoNo2Pro & Farm925,000$539,110$0$0$No925,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.76200 Lbs188 CM1.551,115,891$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordPavel ZachaChristian Fischer40122
2Valentin ZykovLuke KuninMichael Rasmussen30122
3Seth GriffithHenrik BorgstromOwen Tippett20122
4Derek GrantMichael McLeodLogan Shaw10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraCale Makar40122
2Jacob LarssonJulius Honka30122
3Haydn FleuryXavier Ouellet20122
4Xavier OuelletCale Makar10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach SanfordPavel ZachaChristian Fischer60122
2Luke KuninHenrik BorgstromOwen Tippett40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cale MakarXavier Ouellet60122
2Jacob LarssonJulius Honka40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael McLeodMichael Rasmussen60122
2Luke KuninZach Sanford40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraCale Makar60122
2Jacob LarssonJulius Honka40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael McLeod60122Markus NutivaaraCale Makar60122
2Michael Rasmussen40122Jacob LarssonJulius Honka40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Pavel ZachaChristian Fischer60122
2Henrik BorgstromLuke Kunin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletCale Makar60122
2Jacob LarssonJulius Honka40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Henrik BorgstromPavel ZachaLuke KuninXavier OuelletCale Makar
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Zach SanfordDerek GrantMichael RasmussenJacob LarssonJulius Honka
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael McLeod, Logan Shaw, Henrik BorgstromMichael McLeod, Logan ShawHenrik Borgstrom
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Xavier Ouellet, Cale Makar, Jacob LarssonMarkus NutivaaraHaydn Fleury, Xavier Ouellet
Tirs de Pénalité
Pavel Zacha, Luke Kunin, Henrik Borgstrom, Zach Sanford, Owen Tippett
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
1Barracuda30300000713-61010000036-32020000047-300.00071320004226275116445404417188526207716212.50%10370.00%052485461.36%45680156.93%25346654.29%850553839293545272
2Benchwarmers310020001284210010007431000100054161.000122133004226275854454044171811132265913323.08%13192.31%052485461.36%45680156.93%25346654.29%850553839293545272
3Caribou21100000761110000006331010000013-220.5007121900422627573445404417186920183810220.00%9455.56%052485461.36%45680156.93%25346654.29%850553839293545272
4Casse-Tete2020000069-3000000000002020000069-300.000610160042262755944540441718822416298225.00%8187.50%052485461.36%45680156.93%25346654.29%850553839293545272
5Chevalier40400000616-101010000014-330300000512-700.000612180042262751304454044171813961406716318.75%20670.00%052485461.36%45680156.93%25346654.29%850553839293545272
6Diabotins33000000835220000005141100000032161.0008152301422627511844540441718602712607114.29%60100.00%052485461.36%45680156.93%25346654.29%850553839293545272
7Hooligans622010011719-241201000912-32100000187170.5831733500042262752094454044171824081528715320.00%26773.08%052485461.36%45680156.93%25346654.29%850553839293545272
8Hybrides1010000013-2000000000001010000013-200.00012300422627529445404417184113817000.00%4175.00%052485461.36%45680156.93%25346654.29%850553839293545272
9Jardiniers11000000422110000004220000000000021.0004711004226275304454044171831136266350.00%30100.00%052485461.36%45680156.93%25346654.29%850553839293545272
10Leftovers42200000141223210000011831010000034-140.5001425390042262751504454044171812347287223313.04%13469.23%052485461.36%45680156.93%25346654.29%850553839293545272
11Pirates31100010770000000000003110001077040.667791600422627512044540441718993022551119.09%11372.73%152485461.36%45680156.93%25346654.29%850553839293545272
12Requins2020000036-31010000013-21010000023-100.0003690042262755544540441718722420449111.11%10370.00%052485461.36%45680156.93%25346654.29%850553839293545272
Total3711210301199116-171888020005150119313010114866-18310.4199917927801422627512754454044171812364382866921502818.67%1423674.65%152485461.36%45680156.93%25346654.29%850553839293545272
14Vagabond1010000035-2000000000001010000035-200.000369004226275374454044171826112107228.57%10100.00%052485461.36%45680156.93%25346654.29%850553839293545272
15Werewolves2020000047-32020000047-30000000000000.00048120042262756444540441718582916519222.22%8362.50%052485461.36%45680156.93%25346654.29%850553839293545272
_Since Last GM Reset3711210301199116-171888020005150119313010114866-18310.4199917927801422627512754454044171812364382866921502818.67%1423674.65%152485461.36%45680156.93%25346654.29%850553839293545272
_Vs Conference14113000003154-23514000001420-6909000001734-1720.07131578800422627547144540441718474173118279591118.64%591869.49%052485461.36%45680156.93%25346654.29%850553839293545272
_Vs Division121600000403558110000026215405000001414020.083407311300422627539744540441718451146102210441125.00%511276.47%052485461.36%45680156.93%25346654.29%850553839293545272

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3731L5991792781275123643828669201
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
371121301199116
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
188820005150
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1931310114866
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1502818.67%1423674.65%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
445404417184226275
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
52485461.36%45680156.93%25346654.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
850553839293545272


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 - 2019-10-1643Benchwarmers1Royaux3WSommaire du Match
14 - 2019-10-1952Jardiniers2Royaux4WSommaire du Match
15 - 2019-10-2059Royaux1Casse-Tete3LSommaire du Match
17 - 2019-10-2268Hooligans1Royaux2WSommaire du Match
19 - 2019-10-2474Royaux2Hooligans3LXXSommaire du Match
20 - 2019-10-2579Royaux2Chevalier4LSommaire du Match
22 - 2019-10-2786Diabotins1Royaux2WSommaire du Match
24 - 2019-10-2994Royaux2Chevalier4LSommaire du Match
26 - 2019-10-31102Leftovers2Royaux5WSommaire du Match
28 - 2019-11-02110Leftovers3Royaux5WSommaire du Match
30 - 2019-11-04117Royaux3Leftovers4LSommaire du Match
32 - 2019-11-06125Hooligans5Royaux1LSommaire du Match
34 - 2019-11-08134Royaux2Barracuda3LSommaire du Match
35 - 2019-11-09140Hooligans3Royaux2LSommaire du Match
36 - 2019-11-10146Royaux5Benchwarmers4WXSommaire du Match
39 - 2019-11-13155Requins3Royaux1LSommaire du Match
41 - 2019-11-15161Royaux6Hooligans4WSommaire du Match
42 - 2019-11-16168Royaux3Pirates2WXXSommaire du Match
44 - 2019-11-18176Chevalier4Royaux1LSommaire du Match
45 - 2019-11-19183Barracuda6Royaux3LSommaire du Match
47 - 2019-11-21191Royaux2Requins3LSommaire du Match
49 - 2019-11-23199Royaux2Barracuda4LSommaire du Match
51 - 2019-11-25205Royaux1Hybrides3LSommaire du Match
52 - 2019-11-26210Benchwarmers3Royaux4WXSommaire du Match
55 - 2019-11-29218Werewolves3Royaux1LSommaire du Match
57 - 2019-12-01229Royaux3Diabotins2WSommaire du Match
59 - 2019-12-03235Caribou3Royaux6WSommaire du Match
61 - 2019-12-05244Leftovers3Royaux1LSommaire du Match
62 - 2019-12-06252Royaux1Pirates4LSommaire du Match
64 - 2019-12-08257Royaux1Chevalier4LSommaire du Match
65 - 2019-12-09265Werewolves4Royaux3LSommaire du Match
68 - 2019-12-12275Royaux5Casse-Tete6LSommaire du Match
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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,350,004$ 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$ 1,350,004$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 95 19,853$ 1,886,035$




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
20193711210301199116-171888020005150119313010114866-18319917927801422627512754454044171812364382866921502818.67%1423674.65%152485461.36%45680156.93%25346654.29%850553839293545272
Total Saison Régulière453192178014202227202015724482261157606109101101744357227771020810131791982891393202033265346412744668572451545053685133481430714715517536858107171034019.88%168634179.77%524754979048.56%4514954747.28%3148665747.29%10367686310475360066433262
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