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 : 68
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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
1Christian Dvorak0X100.00622469345774597383818269724153047730
2Austin Watson0X100.00843638407962797259778275606355050720
3Brett Howden (R)0X100.00612969376270736881818267663962047720
4Brendan Perlini0X100.00632760357658757335778253774651047700
5David Kampf0X100.00501168455763746580798071655035050690
6Cedric Paquette0X100.00873932486853646583738070585460050670
7Connor Brickley0X100.00833355436949786832788154664649050670
8Rudolfs Balcers (R)0X100.00461864364057787033798253674136047670
9Frederik Gauthier0X100.00822865558936796279778049654748050660
10Max Jones (R)0X100.00583060458061816235727762673545047660
11John Hayden0X100.00843347488044796237747851654151047640
12Evgeny Svechnikov0X100.00403172647739815731667463733945047610
13Jaret Anderson-Dolan (R)0X100.00352883614753835631657268683556047610
14Filip Hronek (R)0X100.00662462423771858630877868664241047740
15Vince Dunn0X100.00503062416361778737857843644446050720
16John Moore0X100.00663063457867678124817563536451010700
17Calvin de Haan0X100.00832569476567588031827465575755047700
18Scott Harrington0X100.00692966487448758128837850645359047700
19Steven Santini0X100.00832763487064738031817565654245042700
20Victor Mete0X100.00412478474162747929827455653844050690
21Andy Welinski0X100.00712370456758807730787347674345050690
22Brendan Guhle0X100.00462769506160727230747259674046047660
23Guillaume Brisebois (R)0X100.00381884584539776831726949684056047620
24Jake Bean (R)0X100.00351977615128836731726954683737047590
Rayé
MOYENNE D'ÉQUIPE100.0062276447645675714377775966454904668
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
1Tristan Jarry100.0083898479839087878988616268047810
2Dylan Ferguson100.0079927974807883827250604053050730
Rayé
MOYENNE D'ÉQUIPE100.008191827782848585816961516104977
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'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Andy WelinskiRequins (COU)D261993-04-27No201 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm690,000$0$0$NoLien
Austin WatsonRequins (COU)LW271992-01-13No204 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Brendan GuhleRequins (COU)D221997-07-29No196 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm888,333$0$0$NoLien
Brendan PerliniRequins (COU)LW231996-04-27No211 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,363,333$0$0$NoLien / Lien NHL
Brett HowdenRequins (COU)C211998-03-29Yes195 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Calvin de HaanRequins (COU)D281991-05-09No195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm3,300,000$0$0$NoLien / Lien NHL
Cedric PaquetteRequins (COU)C261993-08-13No198 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm812,500$0$0$NoLien / Lien NHL
Christian DvorakRequins (COU)C231996-02-02No195 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,106,667$0$0$NoLien / Lien NHL
Connor BrickleyRequins (COU)C271992-02-25No203 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
David KampfRequins (COU)C241995-01-12No188 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Dylan FergusonRequins (COU)G211998-09-20No189 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm716,666$0$0$NoLien
Evgeny SvechnikovRequins (COU)RW221996-10-31No212 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,075,833$0$0$NoLien
Filip HronekRequins (COU)D211997-11-02Yes170 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm913,333$0$0$NoLien
Frederik GauthierRequins (COU)C241995-04-26No235 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm863,333$0$0$NoLien
Guillaume BriseboisRequins (COU)D221997-07-21Yes175 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm888,333$0$0$NoLien
Jake BeanRequins (COU)D211998-06-09Yes186 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,363,333$0$0$NoLien
Jaret Anderson-DolanRequins (COU)RW201999-09-12Yes188 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm910,833$0$0$NoLien
John HaydenRequins (COU)LW241995-02-14No215 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
John MooreRequins (COU)D281990-11-19No210 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm2,750,000$0$0$NoLien / Lien NHL
Max JonesRequins (COU)LW211998-02-17Yes220 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Rudolfs BalcersRequins (COU)LW221997-04-08Yes175 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Scott HarringtonRequins (COU)D261993-03-10No207 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Steven SantiniRequins (COU)D241995-03-07No205 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Tristan JarryRequins (COU)G241995-04-29No194 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Victor MeteRequins (COU)D211998-06-07No183 Lbs175 CMNoNoNo1Contrat d'EntréePro & Farm870,000$0$0$NoLien
Vince DunnRequins (COU)D221996-10-29No203 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.46198 Lbs185 CM1.621,071,474$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Austin WatsonConnor Brickley30122
3Cedric Paquette20122
4Frederik Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Vince Dunn30122
3Andy Welinski20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Austin WatsonConnor Brickley40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince Dunn40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Austin Watson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince Dunn40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Vince Dunn40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Austin Watson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Vince Dunn40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cedric Paquette, , Frederik GauthierCedric Paquette, Frederik Gauthier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andy Welinski, , Andy Welinski,
Tirs de Pénalité
, , Austin Watson, , Connor Brickley
Gardien
#1 : , #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
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,785,831$ 1,677,916$ 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