hellpepitosKingspatriots

 

 


Requins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
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
4Rudolfs Balcers (R)0X100.00461864364057787033798253674136050670
5Max Jones (R)0X100.00583060458061816235727762673545050660
6John Hayden0X100.00843347488044796237747851654151050640
7Jaret Anderson-Dolan (R)0X100.00352883614753835631657268683556050610
8Evgeny Svechnikov0X100.00403172647739815731667463733945050600
9Filip Hronek (R)0X100.00662462423771858630877868664241050730
10Calvin de Haan0X100.00832569476567588031827465575755050700
11Scott Harrington0X100.00692966487448758128837850645359050690
12Brendan Guhle0X100.00462769506160727230747259674046050660
13Guillaume Brisebois (R)0X100.00381884584539776831726949684056050610
Rayé
1David Kampf0X100.00501168455763746580798071655035050680
2Cedric Paquette0X100.00873932486853646583738070585460050670
3Connor Brickley0X100.00833355436949786832788154664649050670
4Nicolas Deslauriers0X100.00914352488549756366737951606160038660
5Frederik Gauthier0X100.00822865558936796279778049654748050650
6Vince Dunn0X100.00503062416361778737857843644446050720
7Patrik Nemeth0X100.00792457528263667931827576625544050710
8John Moore0X100.00663063457867678124817563536451050700
9Steven Santini0X100.00832763487064738031817565654245050700
10Victor Mete0X100.00412478474162747929827455653844050690
11Andy Welinski0X100.00712370456758807730787347674345050680
12Jake 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
Rayé
1Dylan Ferguson100.0079927974807883827250604053050720
MOYENNE D'ÉQUIPE100.008591847986878988866664536304079
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN472450,000$


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
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


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 CMNoNoNo0Pro & Farm0$0$NoLien
Brendan GuhleRequins (COU)D221997-07-29No196 Lbs188 CMNoNoNo1Pro & Farm888,333$888,333$0$0$NoLien
Brendan PerliniRequins (COU)LW231996-04-27No211 Lbs191 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien / Lien NHL
Brett HowdenRequins (COU)C211998-03-29Yes195 Lbs191 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Calvin de HaanRequins (COU)D281991-05-09No195 Lbs185 CMNoNoNo1Pro & Farm3,300,000$3,300,000$0$0$NoLien / Lien NHL
Carter HartRequins (COU)G211998-08-13Yes181 Lbs188 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Cedric PaquetteRequins (COU)C261993-08-13No198 Lbs185 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C231996-02-02No195 Lbs183 CMNoNoNo1Pro & Farm1,106,667$1,106,667$0$0$NoLien / Lien NHL
Connor BrickleyRequins (COU)C271992-02-25No203 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien
David KampfRequins (COU)C241995-01-12No188 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien
Dylan FergusonRequins (COU)G211998-09-20No189 Lbs185 CMNoNoNo0Pro & Farm0$0$NoLien
Evgeny SvechnikovRequins (COU)RW221996-10-31No212 Lbs191 CMNoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Filip HronekRequins (COU)D211997-11-02Yes170 Lbs183 CMNoNoNo1Pro & Farm913,333$913,333$0$0$NoLien
Frederik GauthierRequins (COU)C241995-04-26No235 Lbs196 CMNoNoNo0Pro & Farm0$0$NoLien
Guillaume BriseboisRequins (COU)D221997-07-21Yes175 Lbs188 CMNoNoNo1Pro & Farm888,333$888,333$0$0$NoLien
Jake BeanRequins (COU)D211998-06-09Yes186 Lbs185 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien
Jaret Anderson-DolanRequins (COU)RW201999-09-12Yes188 Lbs180 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
John HaydenRequins (COU)LW241995-02-14No215 Lbs191 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
John MooreRequins (COU)D281990-11-19No210 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Max JonesRequins (COU)LW211998-02-17Yes220 Lbs191 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Nicolas DeslauriersRequins (COU)LW281991-02-22No221 Lbs185 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Patrik NemethRequins (COU)D271992-02-08No219 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Rudolfs BalcersRequins (COU)LW221997-04-08Yes175 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Scott HarringtonRequins (COU)D261993-03-10No207 Lbs188 CMNoNoNo1Pro & Farm675,000$675,000$0$0$NoLien / Lien NHL
Steven SantiniRequins (COU)D241995-03-07No205 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G241995-04-29No194 Lbs188 CMNoNoNo1Pro & Farm675,000$675,000$0$0$NoLien / Lien NHL
Victor MeteRequins (COU)D211998-06-07No183 Lbs175 CMNoNoNo0Pro & Farm0$0$NoLien
Vince DunnRequins (COU)D221996-10-29No203 Lbs183 CMNoNoNo0Pro & Farm0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.54199 Lbs185 CM0.57622,321$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniBrett HowdenJaret Anderson-Dolan40122
2Rudolfs BalcersChristian DvorakEvgeny Svechnikov30122
3Max JonesBrett Howden20122
4John HaydenChristian Dvorak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip Hronek40122
230122
3Calvin de Haan20122
4Scott Harrington10122
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 Hronek60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan Perlini40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip Hronek60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Howden60122Filip Hronek60122
2Christian Dvorak4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan Perlini40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Filip Hronek60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-DolanFilip Hronek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-DolanFilip Hronek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Brendan Guhle, Guillaume BriseboisBrendan Guhle, Guillaume Brisebois
Tirs de Pénalité
Brett Howden, Christian Dvorak, Brendan Perlini, , Rudolfs Balcers
Gardien
#1 : , #2 : Tristan Jarry


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,742,497$ 1,013,416$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 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
Total Saison Régulière33216412308161651739123650316610145047729805274531666378049937597095032817392981472058636558521311174242113887356515610360370733235602123632226.05%131930676.80%594072718556.67%3667683053.69%2968525356.50%800053997171258848982450
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