hellpepitosKingspatriots

 

 


Benchwarmers

GP: 8 | W: 3 | L: 3 | OTL: 2 | P: 8
GF: 28 | GA: 23 | PP%: 29.73% | PK%: 80.00%
DG: Yanick Dumaine | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #70 vs Requins
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Brock McGinn0X100.007955917669659268384947737566670476802622,100,000$
2Aleksi Saarela0X100.00766892667078805872424267584748050670231925,000$
3Jean-Sebastien Dea0X100.00716185626471826462444471595252050660261650,000$
4Dylan Sikura0X100.00665886615880846480424261594747050660252750,000$
5Joey Anderson0XX100.00734396766964726045484984254949050660221925,000$
6Rasmus Asplund (R)0XXX100.00694292686457866155474585254646050650222925,000$
7Michael Bunting0X100.00747070687074755950444464554444050650251715,000$
8Jake Virtanen0X100.008250838482668762305050567564640506502421,250,000$
9Adam Brooks (R)0X100.00706783636367666479414164594444050630242925,000$
10Christian Fischer0X100.008744898079608158304747622563630506302311,075,833$
11Joseph Blandisi0XXX100.00765076736658745254464670255858050620261680,000$
12John Quenneville0X100.00746281737260606079414168624747050620241894,167$
13Justin Holl0X100.00765086636671666427423879255656050620281675,000$
14Lawrence Pilut0X100.007142907761697456253938802548480505902411,350,000$
15Rasmus Sandin (R)0X100.00774388806764636425433862254646050580202894,167$
16Lucas Carlsson (R)0X100.00747084657073785425353562404444050570232925,000$
17Colton White0X100.00776990666974804825323265375555050560231935,833$
Rayé
1Tyler Motte0XX100.00974492746564715634484776255959050650251925,000$
2Markus Granlund0XXX100.006441888267618360384747697265660506402711,300,000$
3Trevor Moore0X100.007543966661607566424947762552530506402511,775,000$
4J.T. Brown0XX100.007154786660677956564141595168710506203011,500,000$
5Sammy Blais (R)0X100.00994785877663666625494861254747050620242850,000$
6Martin Kaut (R)0X100.006967737367677059504141605144440506102021,319,167$
7Sheldon Rempal0X100.00635678625673785350404056444444050600251874,125$
8Danick Martel0X100.00696369625760635750404063605555050600252700,000$
9Denis Malgin0XXX100.00714289846262646243494653256363050600231693,333$
10Egor Korshkov (R)0X100.00757185667158585950383863624444050590242925,000$
11Troy Stecher0X100.007642868368719159254339682563630506202622,325,000$
12Timothy Liljegren (R)0X100.007049917270566455253736672545450505402121,263,333$
MOYENNE D'ÉQUIPE100.0075548572676675594443426743535305062
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
1Curtis McElhinney100.0073575780756768737874716465050700
Rayé
MOYENNE D'ÉQUIPE100.007357578075676873787471646505070
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jake VirtanenBenchwarmers (PAT)RW89211-18022438153123.68%214017.576171525000001037.50%8484021.5700000200
2Joey AndersonBenchwarmers (PAT)C/RW774115206122881625.00%113118.78314615000081154.02%871011001.6700000020
3Brock McGinnBenchwarmers (PAT)LW86410-30091040102315.00%1018923.682245271014191028.89%45366001.0601000010
4Rasmus AsplundBenchwarmers (PAT)C/LW/RW8268-1008172812207.14%514017.51156525000000155.14%10766001.1400000011
5Jean-Sebastien DeaBenchwarmers (PAT)C8358-2201191872216.67%214217.86224929000050050.44%113114001.1211000000
6Vladislav GavrikovPatriotsD614522071511359.09%1915626.13011020011214000.00%037000.6400000001
7Christian FischerBenchwarmers (PAT)RW82350001123012266.67%111914.930000000000000.00%2263000.8400000010
8Aleksi SaarelaBenchwarmers (PAT)LW8134-12011813157.69%416921.250112251122220050.00%853000.4701000000
9Justin HollBenchwarmers (PAT)D8033340919168100.00%2020525.75011530011217000.00%0117000.2900000000
10Michael BuntingBenchwarmers (PAT)LW8123060157187235.56%312515.6600000000020050.00%2121000.4800000000
11Dylan SikuraBenchwarmers (PAT)RW8112-2007073614.29%314317.95011129000050066.67%681000.2800000000
12Rasmus SandinBenchwarmers (PAT)D8011-3401394460.00%616320.49011024000012000.00%016000.1200000000
13Colton WhiteBenchwarmers (PAT)D8011-120576660.00%811314.150000000003000.00%005000.1800000000
14Joseph BlandisiBenchwarmers (PAT)C/LW/RW8011020437270.00%1475.9600000000000050.00%2112000.4200000000
15Lucas CarlssonBenchwarmers (PAT)D8101-1204651420.00%410813.590000000000000.00%016000.1800000000
16Lawrence PilutBenchwarmers (PAT)D8011-320516156100.00%1516821.09000124000113000.00%0511000.1200000000
17Adam BrooksBenchwarmers (PAT)C8000000626080.00%1475.9600000000000070.97%3111000.0000000000
18John QuennevilleBenchwarmers (PAT)C8000100512160.00%1243.01000010000100100.00%401000.0000000000
Stats d'équipe Total ou en Moyenne141344175-738015814729210623411.64%106233916.5914163049280235111273251.81%41518595020.6413000252
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
1Curtis McElhinneyBenchwarmers (PAT)83320.9132.714880022253151111.000380101
Stats d'équipe Total ou en Moyenne83320.9132.714880022253151111.000380101


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
Adam Brooks (Contrat à 1 Volet)Benchwarmers (PAT)C241996-05-06Yes174 Lbs180 CMNoNoNo2Pro & Farm925,000$830,510$925,000$830,511$No925,000$Lien
Aleksi SaarelaBenchwarmers (PAT)LW231997-01-07No198 Lbs180 CMNoNoNo1Pro & Farm925,000$830,510$0$0$NoLien
Brock McGinnBenchwarmers (PAT)LW261994-02-01No185 Lbs183 CMNoNoNo2Pro & Farm2,100,000$1,885,483$0$0$No2,100,000$Lien / Lien NHL
Christian FischerBenchwarmers (PAT)RW231997-04-15No215 Lbs188 CMNoNoNo1Pro & Farm1,075,833$965,936$0$0$NoLien
Colton WhiteBenchwarmers (PAT)D231997-05-03No185 Lbs185 CMNoNoNo1Pro & Farm935,833$840,237$0$0$NoLien
Curtis McElhinneyBenchwarmers (PAT)G371983-05-22No200 Lbs191 CMNoNoNo1Pro & Farm1,152,000$1,034,322$0$0$NoLien / Lien NHL
Danick MartelBenchwarmers (PAT)LW251994-12-12No162 Lbs173 CMNoNoNo2Pro & Farm700,000$628,494$0$0$No700,000$Lien
Denis MalginBenchwarmers (PAT)C/LW/RW231997-01-18No177 Lbs175 CMNoNoNo1Pro & Farm693,333$622,508$0$0$NoLien / Lien NHL
Dylan SikuraBenchwarmers (PAT)RW251995-06-01No158 Lbs180 CMNoNoNo2Pro & Farm750,000$673,387$0$0$No750,000$Lien
Egor KorshkovBenchwarmers (PAT)RW241996-07-10Yes181 Lbs193 CMNoNoNo2Pro & Farm925,000$830,510$0$0$No925,000$Lien
J.T. BrownBenchwarmers (PAT)LW/RW301990-07-02No169 Lbs178 CMNoNoNo1Pro & Farm1,500,000$1,346,774$0$0$NoLien / Lien NHL
Jake VirtanenBenchwarmers (PAT)RW241996-08-17No229 Lbs185 CMNoNoNo2Pro & Farm1,250,000$1,122,311$0$0$No1,250,000$Lien / Lien NHL
Jean-Sebastien DeaBenchwarmers (PAT)C261994-02-08No175 Lbs180 CMNoNoNo1Pro & Farm650,000$583,602$0$0$NoLien / Lien NHL
Joey AndersonBenchwarmers (PAT)C/RW221998-06-19No190 Lbs180 CMNoNoNo1Pro & Farm925,000$830,510$0$0$NoLien
John QuennevilleBenchwarmers (PAT)C241996-04-16No195 Lbs185 CMNoNoNo1Pro & Farm894,167$802,827$0$0$NoLien
Joseph BlandisiBenchwarmers (PAT)C/LW/RW261994-07-18No182 Lbs180 CMNoNoNo1Pro & Farm680,000$610,537$0$0$NoLien
Justin HollBenchwarmers (PAT)D281992-01-30No170 Lbs188 CMNoNoNo1Pro & Farm675,000$606,048$0$0$NoLien
Lawrence PilutBenchwarmers (PAT)D241995-12-29No165 Lbs180 CMNoNoNo1Pro & Farm1,350,000$1,212,096$0$0$NoLien
Lucas CarlssonBenchwarmers (PAT)D231997-07-05Yes190 Lbs183 CMNoNoNo2Pro & Farm925,000$830,510$0$0$No925,000$Lien
Markus GranlundBenchwarmers (PAT)C/LW/RW271993-04-15No183 Lbs183 CMNoNoNo1Pro & Farm1,300,000$1,167,204$0$0$NoLien / Lien NHL
Martin Kaut (Contrat à 1 Volet)Benchwarmers (PAT)RW201999-10-02Yes176 Lbs188 CMNoNoNo2Pro & Farm1,319,167$1,184,413$1,319,167$1,184,413$No1,319,167$Lien
Michael BuntingBenchwarmers (PAT)LW251995-09-17No197 Lbs180 CMNoNoNo1Pro & Farm715,000$641,962$0$0$NoLien
Rasmus AsplundBenchwarmers (PAT)C/LW/RW221997-12-02Yes176 Lbs180 CMNoNoNo2Pro & Farm925,000$830,510$0$0$No925,000$Lien
Rasmus SandinBenchwarmers (PAT)D202000-03-07Yes187 Lbs180 CMNoNoNo2Pro & Farm894,167$802,827$0$0$No894,167$Lien
Sammy BlaisBenchwarmers (PAT)LW241996-06-17Yes205 Lbs188 CMNoNoNo2Pro & Farm850,000$763,172$0$0$No850,000$Lien
Sheldon RempalBenchwarmers (PAT)RW251995-08-06No154 Lbs178 CMNoNoNo1Pro & Farm874,125$784,832$0$0$NoLien
Timothy LiljegrenBenchwarmers (PAT)D211999-04-30Yes192 Lbs183 CMNoNoNo2Pro & Farm1,263,333$1,134,282$0$0$No1,263,333$Lien
Trevor MooreBenchwarmers (PAT)LW251995-03-31No170 Lbs175 CMNoNoNo1Pro & Farm1,775,000$1,593,682$0$0$NoLien
Troy StecherBenchwarmers (PAT)D261994-04-07No190 Lbs178 CMNoNoNo2Pro & Farm2,325,000$2,087,500$0$0$No2,325,000$Lien / Lien NHL
Tyler MotteBenchwarmers (PAT)LW/RW251995-03-10No188 Lbs175 CMNoNoNo1Pro & Farm925,000$830,510$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.67184 Lbs183 CM1.431,073,232$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJean-Sebastien DeaDylan Sikura40122
2Aleksi SaarelaRasmus AsplundJake Virtanen30122
3Michael BuntingChristian Fischer20122
4Joseph BlandisiAdam BrooksBrock McGinn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Holl40122
2Lawrence PilutRasmus Sandin30122
3Lucas CarlssonColton White20122
4Justin Holl10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJean-Sebastien DeaDylan Sikura60122
2Aleksi SaarelaRasmus AsplundJake Virtanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Holl60122
2Lawrence PilutRasmus Sandin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnAleksi Saarela60122
2Jean-Sebastien DeaDylan Sikura40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Holl60122
2Lawrence PilutRasmus Sandin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brock McGinn60122Justin Holl60122
2Aleksi Saarela40122Lawrence PilutRasmus Sandin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnAleksi Saarela60122
2Jean-Sebastien DeaDylan Sikura40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Holl60122
2Lawrence PilutRasmus Sandin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJean-Sebastien DeaDylan SikuraJustin Holl
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJean-Sebastien DeaDylan SikuraJustin Holl
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Quenneville, Michael Bunting, John Quenneville, Michael Bunting
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Carlsson, Colton White, Lawrence PilutLucas CarlssonColton White, Lawrence Pilut
Tirs de Pénalité
Brock McGinn, Aleksi Saarela, Jean-Sebastien Dea, Dylan Sikura, Jake Virtanen
Gardien
#1 : Curtis McElhinney, #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
1Barracuda11000000413000000000001100000041321.00046100012961327791871426150205240.00%000.00%09016554.55%6814945.64%499551.58%1891201746512564
2Casse-Tete10000010211000000000001000001021121.0002240012961317791871430151023200.00%50100.00%09016554.55%6814945.64%499551.58%1891201746512564
3Chevalier1010000023-11010000023-10000000000000.00022400129613377918714337421400.00%20100.00%19016554.55%6814945.64%499551.58%1891201746512564
4Hybrides1010000035-2000000000001010000035-200.0003471012961397791871438124192150.00%20100.00%09016554.55%6814945.64%499551.58%1891201746512564
5Jardiniers1010000013-2000000000001010000013-200.0001230012961327791871433124177114.29%220.00%09016554.55%6814945.64%499551.58%1891201746512564
6Leftovers1000010023-11000010023-10000000000010.5002240012961427791871436176236233.33%3166.67%09016554.55%6814945.64%499551.58%1891201746512564
7Royaux1100000011381100000011380000000000021.0001117280012961297791871426116195360.00%30100.00%09016554.55%6814945.64%499551.58%1891201746512564
Total8230021028235311001001596512001101314-180.50028406810129612667791871425410640157371129.73%20480.00%29016554.55%6814945.64%499551.58%1891201746512564
8Vagabond1000010034-1000000000001000010034-110.5003580012961287791871432176156233.33%3166.67%19016554.55%6814945.64%499551.58%1891201746512564
_Since Last GM Reset8230021028235311001001596512001101314-180.50028406810129612667791871425410640157371129.73%20480.00%29016554.55%6814945.64%499551.58%1891201746512564
_Vs Conference30100200610-41000010023-12010010047-320.333691500129611027791871410146165519526.32%8450.00%19016554.55%6814945.64%499551.58%1891201746512564
_Vs Division201000004401000000023-11010000021100.0004480012961647791871463221444600.00%70100.00%19016554.55%6814945.64%499551.58%1891201746512564

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
88L22840682662541064015710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82302102823
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3110100159
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
51201101314
Derniers 10 Matchs
WLOTWOTL SOWSOL
330200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
371129.73%20480.00%2
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
7791871412961
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
9016554.55%6814945.64%499551.58%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1891201746512564


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 - 2020-10-121Leftovers3Benchwarmers2LXSommaire du Match
3 - 2020-10-1412Benchwarmers2Casse-Tete1WXXSommaire du Match
8 - 2020-10-1926Benchwarmers3Vagabond4LXSommaire du Match
9 - 2020-10-2030Royaux3Benchwarmers11WSommaire du Match
11 - 2020-10-2237Chevalier3Benchwarmers2LSommaire du Match
12 - 2020-10-2343Benchwarmers4Barracuda1WSommaire du Match
15 - 2020-10-2651Benchwarmers3Hybrides5LSommaire du Match
17 - 2020-10-2857Benchwarmers1Jardiniers3LSommaire du Match
21 - 2020-11-0170Benchwarmers-Requins-
22 - 2020-11-0271Hooligans-Benchwarmers-
24 - 2020-11-0478Caribou-Benchwarmers-
25 - 2020-11-0587Benchwarmers-Werewolves-
29 - 2020-11-0994Pirates-Benchwarmers-
30 - 2020-11-10103Benchwarmers-Diabotins-
32 - 2020-11-12106Benchwarmers-Leftovers-
34 - 2020-11-14117Casse-Tete-Benchwarmers-
39 - 2020-11-19131Vagabond-Benchwarmers-
40 - 2020-11-20135Benchwarmers-Royaux-
42 - 2020-11-22142Benchwarmers-Chevalier-
43 - 2020-11-23148Barracuda-Benchwarmers-
46 - 2020-11-26156Hybrides-Benchwarmers-
48 - 2020-11-28162Jardiniers-Benchwarmers-
52 - 2020-12-02175Requins-Benchwarmers-
53 - 2020-12-03176Benchwarmers-Hooligans-
55 - 2020-12-05183Benchwarmers-Caribou-
56 - 2020-12-06192Werewolves-Benchwarmers-
60 - 2020-12-10199Benchwarmers-Pirates-
61 - 2020-12-11208Diabotins-Benchwarmers-
63 - 2020-12-13211Leftovers-Benchwarmers-
65 - 2020-12-15222Benchwarmers-Casse-Tete-
70 - 2020-12-20236Benchwarmers-Vagabond-
71 - 2020-12-21240Royaux-Benchwarmers-
73 - 2020-12-23247Chevalier-Benchwarmers-
74 - 2020-12-24253Benchwarmers-Barracuda-
77 - 2020-12-27261Benchwarmers-Hybrides-
79 - 2020-12-29267Benchwarmers-Jardiniers-
83 - 2021-01-02280Benchwarmers-Requins-
84 - 2021-01-03281Hooligans-Benchwarmers-
86 - 2021-01-05288Caribou-Benchwarmers-
87 - 2021-01-06297Benchwarmers-Werewolves-
91 - 2021-01-10304Pirates-Benchwarmers-
92 - 2021-01-11313Benchwarmers-Diabotins-
94 - 2021-01-13316Benchwarmers-Leftovers-
96 - 2021-01-15327Casse-Tete-Benchwarmers-
101 - 2021-01-20341Vagabond-Benchwarmers-
102 - 2021-01-21345Benchwarmers-Royaux-
104 - 2021-01-23352Benchwarmers-Chevalier-
105 - 2021-01-24358Barracuda-Benchwarmers-
108 - 2021-01-27366Hybrides-Benchwarmers-
110 - 2021-01-29372Jardiniers-Benchwarmers-
114 - 2021-02-02385Requins-Benchwarmers-
115 - 2021-02-03386Benchwarmers-Hooligans-
117 - 2021-02-05393Benchwarmers-Caribou-
118 - 2021-02-06402Werewolves-Benchwarmers-
122 - 2021-02-10409Benchwarmers-Pirates-
123 - 2021-02-11418Diabotins-Benchwarmers-
125 - 2021-02-13421Leftovers-Benchwarmers-
127 - 2021-02-15432Benchwarmers-Casse-Tete-
132 - 2021-02-20446Benchwarmers-Vagabond-
133 - 2021-02-21450Royaux-Benchwarmers-
135 - 2021-02-23457Chevalier-Benchwarmers-
136 - 2021-02-24463Benchwarmers-Barracuda-
139 - 2021-02-27471Benchwarmers-Hybrides-
141 - 2021-03-01477Benchwarmers-Jardiniers-
145 - 2021-03-05490Benchwarmers-Requins-
146 - 2021-03-06491Hooligans-Benchwarmers-
148 - 2021-03-08498Caribou-Benchwarmers-
149 - 2021-03-09507Benchwarmers-Werewolves-
153 - 2021-03-13514Pirates-Benchwarmers-
154 - 2021-03-14523Benchwarmers-Diabotins-
156 - 2021-03-16526Benchwarmers-Leftovers-
158 - 2021-03-18537Casse-Tete-Benchwarmers-
163 - 2021-03-23551Vagabond-Benchwarmers-
164 - 2021-03-24555Benchwarmers-Royaux-
166 - 2021-03-26562Benchwarmers-Chevalier-
167 - 2021-03-27568Barracuda-Benchwarmers-
170 - 2021-03-30576Hybrides-Benchwarmers-
172 - 2021-04-01582Jardiniers-Benchwarmers-
176 - 2021-04-05595Requins-Benchwarmers-
177 - 2021-04-06596Benchwarmers-Hooligans-
179 - 2021-04-08603Benchwarmers-Caribou-
180 - 2021-04-09612Werewolves-Benchwarmers-
184 - 2021-04-13619Benchwarmers-Pirates-
185 - 2021-04-14628Diabotins-Benchwarmers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
317,274$ 2,995,279$ 2,732,779$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
16,104$ 317,274$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 167 16,104$ 2,689,368$




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
201684280010013142066-17524204101000149998-84942239000011651068-9037314560874000107104102249208318587992120772202215863286921.04%41227932.28%81071168463.60%52784662.29%1796302759.33%2002129416996261346666
201784402501396310340-304226900142180172842141601254130168-38109310536846160981049826040849887831231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201784293905146245378-13342161702034119191-7242132203112126187-618324541866314081758022000697754716259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
201882333603442445350954119150231123415876411421011312111921986445656110110016514712627640954980812327211416399343078728.34%3017973.75%2683158743.04%727196337.04%596137243.44%1666107620926561205581
201882393005314399222177412480231321410011441152203001185122639739971311121201591261082914010699368872830101381416532927023.97%3967182.07%19959178653.70%1046195453.53%627117253.50%1898122418176591238627
201984194903454223365-14242111803334131166-35428310012092199-10762223391614510977147300101079974929274595876816553527320.74%3729973.39%91075203752.77%856181947.06%562113849.38%1978131119016681221594
20208230021028235311001001596512001101314-1828406810129612667791871425410640157371129.73%20480.00%29016554.55%6814945.64%499551.58%1891201746512564
Total Saison Régulière50816426201817242319643744-17802539710901011121410421794-752255671530861299221950-1028452196433145278101312716633562162417755705476498816127564656239070188942022.23%214664969.76%6554721048752.18%49251002349.14%4779925051.66%11566747311467406577513832