hellpepitosKingspatriots

 

 


Requins

GP: 84 | W: 49 | L: 27 | OTL: 8 | P: 106
GF: 245 | GA: 255 | PP%: 21.30% | PK%: 82.25%
DG: Karl Freniere | Morale : 50 | Moyenne d'Équipe : 69
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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
1Brett Howden (R)0X100.00612969376270736881818267663962050720
2Christian Dvorak0X100.00622469345774597383818269724153050720
3Brendan Perlini0X100.00632760357658757335778253774651050700
4David Kampf0X100.00501168455763746580798071655035050680
5Cedric Paquette0X100.00873932486853646583738070585460050670
6Connor Brickley0X100.00833355436949786832788154664649050670
7Rudolfs Balcers (R)0X100.00461864364057787033798253674136050670
8Nicolas Deslauriers0X100.00914352488549756366737951606160038660
9Max Jones (R)0X100.00583060458061816235727762673545050660
10Frederik Gauthier0X100.00822865558936796279778049654748050650
11John Hayden0X100.00843347488044796237747851654151050640
12Jaret Anderson-Dolan (R)0X100.00352883614753835631657268683556050610
13Evgeny Svechnikov0X100.00403172647739815731667463733945050600
14Filip Hronek (R)0X100.00662462423771858630877868664241050730
15Vince Dunn0X100.00503062416361778737857843644446050720
16Patrik Nemeth0X100.00792457528263667931827576625544050710
17John Moore0X100.00663063457867678124817563536451050700
18Calvin de Haan0X100.00832569476567588031827465575755050700
19Steven Santini0X100.00832763487064738031817565654245050700
20Victor Mete0X100.00412478474162747929827455653844050690
21Scott Harrington0X100.00692966487448758128837850645359050690
22Andy Welinski0X100.00712370456758807730787347674345050680
23Brendan Guhle0X100.00462769506160727230747259674046050660
24Guillaume Brisebois (R)0X100.00381884584539776831726949684056050610
Rayé
1Jake Bean (R)0X100.00351977615128836731726954683737050590
MOYENNE D'ÉQUIPE100.0063276547655675714377775965454905067
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
1Carter Hart (R)100.0094928884949296949659715869019850
2Tristan Jarry100.0083898479839087878988616268050810
3Dylan Ferguson100.0079927974807883827250604053050720
Rayé
MOYENNE D'ÉQUIPE100.008591847986878988866664536304079
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN463450,000$


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
1Brett HowdenRequins (COU)C83335487145401052122809814611.79%92208525.139223163237123153306464.59%19714634000.8308000686
2Filip HronekRequins (COU)D8323547712520148159239111889.62%190203624.53131326752951236372110.00%07065000.7600000673
3Brendan PerliniRequins (COU)LW8337407724600112542609415814.23%29163719.7211172869274112923611346.20%171468100.9448000494
4Christian DvorakRequins (COU)C83254065-43401331962387715510.50%96201724.309162557229044103405265.70%10353638000.6439000462
5Vince DunnRequins (COU)D8427376436605144195716713.85%41200223.84101222582951235362530.00%06713010.6400000233
6Rudolfs BalcersRequins (COU)LW83152439-12280374917970938.38%24131515.8541317452420001100135.59%59388000.5902000132
7Patrik NemethRequins (COU)D83132336-660015017117156817.60%111159119.187714542241458237310.00%03841000.4500000046
8Cedric PaquetteRequins (COU)C8417122981080118150132418212.88%3698511.730000100062125160.78%5893324000.5900000222
9David KampfRequins (COU)C8313152802002014215856988.23%38103412.4700000112121341365.37%5404318000.5423000022
10Jaret Anderson-DolanRequins (COU)RW8332427210058011336682.65%55133916.1415627274000000030.99%711922000.4011000001
11Evgeny SvechnikovRequins (COU)RW8342125-13200239712235793.28%31130015.674101430242000000039.06%644919000.3802000001
12Connor BrickleyRequins (COU)C83810181240096309617428.33%77999.630338522024373043.58%218145000.4500000101
13John MooreRequins (COU)D8361218-956066927934387.59%91157018.931561722520213242100.00%02827000.2300000100
14Jake DeBruskCousinLW11961592012931112529.03%221619.6613411421121170050.00%1281011.3900000110
15Steven SantiniRequins (COU)D83213151265578588527272.35%6187710.580000000000100.00%02024000.3400000001
16John HaydenRequins (COU)LW835914962070276932537.25%97108.5600000000001045.16%31231000.3900000020
17Calvin de HaanRequins (COU)D83210121214062685533293.64%4887610.560000000000000.00%01520000.2700000010
18Scott HarringtonRequins (COU)D834812718029225720217.02%214925.930000000000110.00%03610000.4900000102
19Max JonesRequins (COU)LW83066-338061535727400.00%1486910.4800000000000054.17%24206000.1400000000
20Frederik GauthierRequins (COU)C8432522016124212187.14%22322.7700005000000160.78%51111000.4300000100
21Andy WelinskiRequins (COU)D840330401718141050.00%205005.950000000000000.00%048000.1200000000
22Nicolas DeslauriersRequins (COU)LW22202-71603411238198.70%21798.1600000000000055.56%9110000.2200000000
23Victor MeteRequins (COU)D83000000100000.00%190.120000100000000.00%000000.0000000000
24Brendan GuhleRequins (COU)D830003204101100.00%71181.43000000001101000.00%001000.0000000000
25Guillaume BriseboisRequins (COU)D83000000010110.00%360.080000000003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne194625142367494821514481765269697814339.31%10312480712.75701261965142646111728912641442161.40%4845675394120.541033000304836
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
1Tristan JarryRequins (COU)28161110.9112.8716710280901462000.88992883600
2Dylan FergusonRequins (COU)10000.7786.321900296000.000000000
Stats d'équipe Total ou en Moyenne29161110.9102.9116900282910468000.88992883600


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
Andy WelinskiRequins (COU)D261993-04-27No201 Lbs185 CMNoNoNo1Pro & Farm690,000$0$0$NoLien
Brendan GuhleRequins (COU)D221997-07-29No196 Lbs188 CMNoNoNo2Pro & Farm888,333$0$0$No888,333$Lien
Brendan PerliniRequins (COU)LW231996-04-27No211 Lbs191 CMNoNoNo2Pro & Farm1,363,333$0$0$No1,363,333$Lien / Lien NHL
Brett HowdenRequins (COU)C211998-03-29Yes195 Lbs191 CMNoNoNo2Pro & Farm863,333$0$0$No863,333$Lien
Calvin de HaanRequins (COU)D281991-05-09No195 Lbs185 CMNoNoNo2Pro & Farm3,300,000$0$0$No3,300,000$Lien / Lien NHL
Carter HartRequins (COU)G211998-08-13Yes181 Lbs188 CMNoNoNo2Pro & Farm863,333$0$0$No863,333$Lien
Cedric PaquetteRequins (COU)C261993-08-13No198 Lbs185 CMNoNoNo1Pro & Farm812,500$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C231996-02-02No195 Lbs183 CMNoNoNo2Pro & Farm1,106,667$0$0$No1,106,667$Lien / Lien NHL
Connor BrickleyRequins (COU)C271992-02-25No203 Lbs183 CMNoNoNo1Pro & Farm750,000$0$0$NoLien
David KampfRequins (COU)C241995-01-12No188 Lbs188 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Dylan FergusonRequins (COU)G211998-09-20No189 Lbs185 CMNoNoNo1Pro & Farm716,666$0$0$NoLien
Evgeny SvechnikovRequins (COU)RW221996-10-31No212 Lbs191 CMNoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien
Filip HronekRequins (COU)D211997-11-02Yes170 Lbs183 CMNoNoNo2Pro & Farm913,333$0$0$No913,333$Lien
Frederik GauthierRequins (COU)C241995-04-26No235 Lbs196 CMNoNoNo1Pro & Farm863,333$0$0$NoLien
Guillaume BriseboisRequins (COU)D221997-07-21Yes175 Lbs188 CMNoNoNo2Pro & Farm888,333$0$0$No888,333$Lien
Jake BeanRequins (COU)D211998-06-09Yes186 Lbs185 CMNoNoNo2Pro & Farm1,363,333$0$0$No1,363,333$Lien
Jaret Anderson-DolanRequins (COU)RW201999-09-12Yes188 Lbs180 CMNoNoNo2Pro & Farm910,833$0$0$No910,833$Lien
John HaydenRequins (COU)LW241995-02-14No215 Lbs191 CMNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
John MooreRequins (COU)D281990-11-19No210 Lbs188 CMNoNoNo1Pro & Farm2,750,000$0$0$NoLien / Lien NHL
Max JonesRequins (COU)LW211998-02-17Yes220 Lbs191 CMNoNoNo2Pro & Farm863,333$0$0$No863,333$Lien
Nicolas DeslauriersRequins (COU)LW281991-02-22No221 Lbs185 CMNoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Patrik NemethRequins (COU)D271992-02-08No219 Lbs191 CMNoNoNo1Pro & Farm945,000$0$0$NoLien / Lien NHL
Rudolfs BalcersRequins (COU)LW221997-04-08Yes175 Lbs180 CMNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Scott HarringtonRequins (COU)D261993-03-10No207 Lbs188 CMNoNoNo2Pro & Farm675,000$0$0$No675,000$Lien / Lien NHL
Steven SantiniRequins (COU)D241995-03-07No205 Lbs188 CMNoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G241995-04-29No194 Lbs188 CMNoNoNo2Pro & Farm675,000$0$0$No675,000$Lien / Lien NHL
Victor MeteRequins (COU)D211998-06-07No183 Lbs175 CMNoNoNo1Pro & Farm870,000$0$0$NoLien
Vince DunnRequins (COU)D221996-10-29No203 Lbs183 CMNoNoNo1Pro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.54199 Lbs185 CM1.571,047,917$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniBrett HowdenJaret Anderson-Dolan40122
2Rudolfs BalcersChristian DvorakEvgeny Svechnikov30122
3Max JonesDavid KampfBrett Howden20122
4John HaydenCedric PaquetteChristian Dvorak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekVince Dunn40122
2Patrik NemethJohn Moore30122
3Calvin de HaanSteven Santini20122
4Scott HarringtonAndy Welinski10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniBrett HowdenJaret Anderson-Dolan60122
2Rudolfs BalcersChristian DvorakEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekVince Dunn60122
2Patrik NemethJohn Moore40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan PerliniDavid Kampf40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekVince Dunn60122
2Patrik NemethJohn Moore40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Howden60122Filip HronekVince Dunn60122
2Christian Dvorak40122Patrik NemethJohn Moore40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan PerliniDavid Kampf40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip HronekVince Dunn60122
2Patrik NemethJohn Moore40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-DolanFilip HronekVince Dunn
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-DolanFilip HronekVince Dunn
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Connor Brickley, Frederik Gauthier, Cedric PaquetteConnor Brickley, Frederik GauthierCedric Paquette
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Victor Mete, Brendan Guhle, Guillaume BriseboisVictor MeteBrendan Guhle, Guillaume Brisebois
Tirs de Pénalité
Brett Howden, Christian Dvorak, Brendan Perlini, David Kampf, Rudolfs Balcers
Gardien
#1 : , #2 : Tristan Jarry, #3 : Dylan Ferguson


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
1Barracuda52200100141313110010089-12110000064250.50014243800857971151759498298257216269389123417.39%19478.95%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
2Benchwarmers8420010126197541000001771030100101912-3100.6252643690185797115229949829825722731069513133721.21%42588.10%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
3Caribou4400000016511220000008352200000082681.00016284401857971151399498298257211651466919842.11%23195.65%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
4Casse-Tete41200010990211000003302010001066040.5009142300857971151379498298257214159446215213.33%22672.73%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
5Chevalier64000020157843000010104621000010532121.00015223701857971151829498298257220274549015320.00%27388.89%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
6Diabotins6310011013112321000007613100011065190.7501319320085797115214949829825721446248981218.33%24387.50%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
7Hooligans9610110033267210001008807510100025187150.83333579000857971152779498298257231311310413928517.86%521178.85%41127181262.20%1196198260.34%645107160.22%1916120218857011297664
8Hybrides816000101523-841200010910-140400000613-740.25015264100857971152319498298257225668741402913.45%38684.21%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
9Jardiniers840021013224842001100151234200100117125140.8753254860085797115252949829825722419476140471429.79%38878.95%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
10Leftovers642000002149-28220000001046422000001145-3480.66721365700857971151679498298257219098469333824.24%23291.30%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
11Pirates505000001124-1320200000510-530300000614-800.0001122330085797115173949829825722016230919222.22%15753.33%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
12Royaux532000001313032100000101002110000033060.60013253800857971151679498298257215165508422522.73%25676.00%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
Total84392705553245255-10422412013201241022242151504233121153-321060.63124541766203857971152643949829825722701103280914063246921.30%4007182.25%101127181262.20%1196198260.34%645107160.22%1916120218857011297664
14Vagabond614010001522-7413000001014-42010100058-340.33315264100857971151849498298257218767649824520.83%32681.25%11127181262.20%1196198260.34%645107160.22%1916120218857011297664
15Werewolves4200100112102220000004222000100188070.87512213300857971151169498298257212444408015426.67%20385.00%01127181262.20%1196198260.34%645107160.22%1916120218857011297664
_Since Last GM Reset84392705553245255-10422412013201241022242151504233121153-321060.63124541766203857971152643949829825722701103280914063246921.30%4007182.25%101127181262.20%1196198260.34%645107160.22%1916120218857011297664
_Vs Conference48221504412151175-242212701200726111261080321279114-35600.625151257408018579711514969498298257215496024637901864222.58%2264281.42%81127181262.20%1196198260.34%645107160.22%1916120218857011297664
_Vs Division15118023123540-58840110018171734012121723-6331.10035589301857971154929498298257254419512824339717.95%641675.00%21127181262.20%1196198260.34%645107160.22%1916120218857011297664

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
84106W2245417662264327011032809140603
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8439275553245255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4224121320124102
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4215154233121153
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3246921.30%4007182.25%10
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
9498298257285797115
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
1127181262.20%1196198260.34%645107160.22%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1916120218857011297664


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 - 2019-10-065Requins2Leftovers38LSommaire du Match
3 - 2019-10-0812Benchwarmers2Requins3WSommaire du Match
4 - 2019-10-0915Requins4Hooligans3WXSommaire du Match
6 - 2019-10-1124Requins2Hooligans3LSommaire du Match
8 - 2019-10-1331Chevalier1Requins3WSommaire du Match
10 - 2019-10-1538Hybrides3Requins1LSommaire du Match
13 - 2019-10-1848Requins4Jardiniers3WXSommaire du Match
14 - 2019-10-1955Vagabond3Requins1LSommaire du Match
16 - 2019-10-2164Barracuda4Requins3LSommaire du Match
17 - 2019-10-2265Requins1Hybrides2LSommaire du Match
21 - 2019-10-2681Benchwarmers1Requins3WSommaire du Match
22 - 2019-10-2787Requins3Hooligans2WSommaire du Match
24 - 2019-10-2995Hybrides2Requins3WXXSommaire du Match
27 - 2019-11-01104Requins4Hooligans2WSommaire du Match
28 - 2019-11-02108Requins5Jardiniers2WSommaire du Match
30 - 2019-11-04116Jardiniers3Requins4WSommaire du Match
32 - 2019-11-06124Requins1Diabotins2LXSommaire du Match
33 - 2019-11-07130Chevalier1Requins2WXXSommaire du Match
35 - 2019-11-09139Requins3Pirates7LSommaire du Match
37 - 2019-11-11147Pirates3Requins2LSommaire du Match
39 - 2019-11-13155Requins3Royaux1WSommaire du Match
41 - 2019-11-15160Barracuda2Requins1LXSommaire du Match
42 - 2019-11-16169Hybrides3Requins2LSommaire du Match
44 - 2019-11-18177Requins2Benchwarmers3LXSommaire du Match
45 - 2019-11-19184Requins2Hybrides3LSommaire du Match
47 - 2019-11-21191Royaux2Requins3WSommaire du Match
49 - 2019-11-23198Hybrides2Requins3WSommaire du Match
51 - 2019-11-25206Requins3Chevalier2WXXSommaire du Match
53 - 2019-11-27214Chevalier0Requins2WSommaire du Match
55 - 2019-11-29217Requins5Casse-Tete4WXXSommaire du Match
56 - 2019-11-30227Requins1Barracuda3LSommaire du Match
58 - 2019-12-02234Requins5Werewolves6LXXSommaire du Match
60 - 2019-12-04239Jardiniers4Requins3LXSommaire du Match
62 - 2019-12-06249Requins4Jardiniers2WSommaire du Match
63 - 2019-12-07254Werewolves1Requins2WSommaire du Match
65 - 2019-12-09261Requins3Benchwarmers4LSommaire du Match
66 - 2019-12-10268Jardiniers2Requins3WXSommaire du Match
68 - 2019-12-12276Requins2Hybrides4LSommaire du Match
70 - 2019-12-14282Requins4Leftovers2WSommaire du Match
71 - 2019-12-15287Diabotins1Requins2WSommaire du Match
73 - 2019-12-17297Leftovers1Requins4WSommaire du Match
76 - 2019-12-20305Requins4Vagabond3WXSommaire du Match
77 - 2019-12-21313Benchwarmers1Requins4WSommaire du Match
80 - 2019-12-24324Casse-Tete2Requins1LSommaire du Match
82 - 2019-12-26331Requins4Hooligans2WSommaire du Match
85 - 2019-12-29338Caribou1Requins3WSommaire du Match
86 - 2019-12-30346Requins2Pirates3LSommaire du Match
88 - 2020-01-01354Werewolves1Requins2WSommaire du Match
90 - 2020-01-03364Diabotins2Requins4WSommaire du Match
91 - 2020-01-04368Requins1Casse-Tete2LSommaire du Match
93 - 2020-01-06375Requins4Jardiniers5LXXSommaire du Match
96 - 2020-01-09385Royaux1Requins4WSommaire du Match
98 - 2020-01-11393Requins3Caribou2WSommaire du Match
100 - 2020-01-13401Vagabond3Requins4WSommaire du Match
102 - 2020-01-15410Hooligans4Requins3LXSommaire du Match
104 - 2020-01-17415Requins3Leftovers1WSommaire du Match
106 - 2020-01-19422Requins3Diabotins2WSommaire du Match
107 - 2020-01-20429Requins1Vagabond5LSommaire du Match
108 - 2020-01-21433Royaux7Requins3LSommaire du Match
111 - 2020-01-24444Leftovers3Requins6WSommaire du Match
113 - 2020-01-26451Requins2Diabotins1WXXSommaire du Match
115 - 2020-01-28458Barracuda3Requins4WSommaire du Match
118 - 2020-01-31471Hooligans4Requins5WSommaire du Match
120 - 2020-02-02479Requins0Royaux2LSommaire du Match
121 - 2020-02-03486Pirates7Requins3LSommaire du Match
123 - 2020-02-05493Requins2Leftovers4LSommaire du Match
125 - 2020-02-07501Diabotins3Requins1LSommaire du Match
127 - 2020-02-09506Requins1Pirates4LSommaire du Match
129 - 2020-02-11510Requins2Chevalier1WSommaire du Match
130 - 2020-02-12516Requins5Barracuda1WSommaire du Match
132 - 2020-02-14523Vagabond5Requins4LSommaire du Match
135 - 2020-02-17532Requins5Caribou0WSommaire du Match
136 - 2020-02-18538Caribou2Requins5WSommaire du Match
139 - 2020-02-21549Jardiniers3Requins5WSommaire du Match
141 - 2020-02-23558Requins4Benchwarmers5LXXSommaire du Match
143 - 2020-02-25565Chevalier2Requins3WSommaire du Match
144 - 2020-02-26567Requins4Hooligans3WSommaire du Match
145 - 2020-02-27577Requins4Hooligans3WSommaire du Match
147 - 2020-02-29583Vagabond3Requins1LSommaire du Match
150 - 2020-03-03595Casse-Tete1Requins2WSommaire du Match
153 - 2020-03-06602Requins1Hybrides4LSommaire du Match
156 - 2020-03-09611Benchwarmers3Requins2LSommaire du Match
158 - 2020-03-11616Requins3Werewolves2WXSommaire du Match
161 - 2020-03-14626Benchwarmers0Requins5WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,867,923$ 2,934,164$ 1,836,583$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
18,001$ 2,867,923$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,001$ 0$




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
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
2018823936002234032721314124140012022211211041152200103181160217840366510681015613011542896110095383729285799832310473287121.65%1604870.00%4936180052.00%793169146.90%610122349.88%1904129718376291207603
20188250230333048424024441324013102651011644118190202021913980100484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
201984392705553245255-10422412013201241022242151504233121153-3210624541766203857971152643949829825722701103280914063246921.30%4007182.25%101127181262.20%1196198260.34%645107160.22%1916120218857011297664
Total Saison Régulière41620315001321218198414914932081255705109211046294752087893081112688086218434198433985382511721637592461438551604716439022813061473941327008156039125.06%171937778.07%695199899757.79%4863881255.19%3613632457.13%991666029057328961963114
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
201851400000916-72110000066030300000310-7291625002511165595347621172324628310.71%17476.47%04411936.97%4713634.56%165529.09%10873136416830
201822121000000999091183000006341221147000003649-13249916426300282842180229627022016878313240278922122.83%1011882.18%326749653.83%29156151.87%18934155.43%493326544179323158
Total Séries44212300000163177-14221480000098782022715000006599-344216327643900485259415375325264522716265555516081873719.79%2064379.13%852698953.19%541107650.28%35264454.66%10126791067348621301