hellpepitosKingspatriots

 

 


Hybrides

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Gagnon | Morale : 50 | Moyenne d'Équipe : 59
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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
1Victor Olofsson0X100.00594096836378808744535356255050050630
2Conor Garland0X100.00654090836066848236495155806262050610
3Kiefer Sherwood0X100.00894582726665805857484572255050050600
4Dominik Simon0XXX100.00754292776966856033504754256364050580
5Antti Suomela0X100.00794393746454716072514666254848050570
6Adam Pelech0X100.00854486728180755925433881256162050600
7Riley Stillman0X100.00828587697377775925423887254747050590
8Caleb Jones0X100.00734891677169796127423967755959050570
9Josh Mahura0X100.00594093666569727125443960254646050570
10Matt Benning0X100.00825388827463755825423872256161050560
Rayé
1Brendan Gaunce0X100.00787479717970755872414170616060050630
2Dominic Turgeon0X100.00797292637380875366383869535353050630
3Nathan Bastian0X100.00767273627877815750393965594444050610
4Dmytro Timashov (R)0X100.00825285676961755533464571255757050590
5Karson Kuhlman0X100.00796784656763696032504561254748050580
6Brandon Gignac0X100.00726485636364695164404064465555050570
7Cooper Marody0X100.00696479666463646075414161534444050570
8Ross Johnston0X100.00939947689250495525474664254848050560
9Ryan Kuffner0X100.00797197607158595450373764534444050550
10Max Veronneau0X100.00766796646759615350373763504545050550
11Brennan Menell (R)0X100.00736685646679835725393967405555050570
12Zach Whitecloud0X100.00674391627664805725403863254545050530
13Casey Nelson0X100.00776291687162635425343367395959050510
14Joshua Jacobs0X100.00797588677573804825313163404444050510
MOYENNE D'ÉQUIPE100.0076608669716774594143416640525205058
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
1Joonas Korpisalo100.0066666274756978687566955959050670
2Laurent Brossoit100.0069535581716061686969455353050620
Rayé
1Kaapo Kahkonen (R)100.0069698684687770767876304444050710
2Anthony Stolarz100.0063617688666555656261304545050610
MOYENNE D'ÉQUIPE100.006762708270686669716850505005065
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant95939287738950CAN565500,000$


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
Adam PelechHybrides (LYC)D261994-08-16No217 Lbs193 CMNoNoNo2Pro & Farm1,600,000$1,600,000$0$0$No1,600,000$Lien / Lien NHL
Anthony StolarzHybrides (LYC)G261994-01-20No210 Lbs198 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Antti SuomelaHybrides (LYC)C261994-03-17No172 Lbs183 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Brandon GignacHybrides (LYC)LW221997-11-07No173 Lbs180 CMNoNoNo1Pro & Farm921,666$921,666$0$0$NoLien
Brendan GaunceHybrides (LYC)C261994-03-25No217 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Brennan MenellHybrides (LYC)D231997-05-24Yes183 Lbs180 CMNoNoNo2Pro & Farm716,666$716,666$0$0$No716,666$Lien
Caleb JonesHybrides (LYC)D231997-06-06No192 Lbs185 CMNoNoNo1Pro & Farm815,000$815,000$0$0$NoLien
Casey NelsonHybrides (LYC)D281992-07-18No190 Lbs185 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Conor GarlandHybrides (LYC)RW241996-03-11No165 Lbs178 CMNoNoNo1Pro & Farm822,223$822,223$0$0$NoLien
Cooper MarodyHybrides (LYC)LW231996-12-20No173 Lbs183 CMNoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Dmytro TimashovHybrides (LYC)LW231996-09-30Yes195 Lbs178 CMNoNoNo2Pro & Farm836,111$836,111$0$0$No836,111$Lien
Dominic TurgeonHybrides (LYC)C241996-02-24No196 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien
Dominik SimonHybrides (LYC)C/LW/RW261994-08-08No190 Lbs180 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Joonas KorpisaloHybrides (LYC)G261994-04-27No182 Lbs191 CMNoNoNo2Pro & Farm1,150,000$1,150,000$0$0$No1,150,000$Lien / Lien NHL
Josh MahuraHybrides (LYC)D221998-05-05No178 Lbs183 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Joshua JacobsHybrides (LYC)D241996-02-15No201 Lbs188 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Kaapo KahkonenHybrides (LYC)G241996-08-16Yes223 Lbs188 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Karson KuhlmanHybrides (LYC)RW241995-09-26No180 Lbs180 CMNoNoNo1Pro & Farm762,500$762,500$0$0$NoLien
Kiefer SherwoodHybrides (LYC)RW251995-03-31No180 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Laurent BrossoitHybrides (LYC)G271993-03-22No204 Lbs191 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Matt BenningHybrides (LYC)D261994-05-25No204 Lbs185 CMNoNoNo1Pro & Farm1,900,000$1,900,000$0$0$NoLien / Lien NHL
Max VeronneauHybrides (LYC)RW241995-12-11No181 Lbs183 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Nathan BastianHybrides (LYC)RW221997-12-06No205 Lbs193 CMNoNoNo1Pro & Farm905,000$905,000$0$0$NoLien
Riley StillmanHybrides (LYC)D221998-03-08No190 Lbs185 CMNoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Ross JohnstonHybrides (LYC)LW261994-02-18No235 Lbs196 CMNoNoNo0Pro & Farm0$0$NoLien
Ryan KuffnerHybrides (LYC)LW241996-06-11No194 Lbs185 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Victor OlofssonHybrides (LYC)LW251995-07-18No172 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Zach WhitecloudHybrides (LYC)D231996-11-27No209 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2824.43193 Lbs185 CM1.04822,857$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominik Simon40122
230122
3Victor OlofssonKiefer Sherwood20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechCaleb Jones40122
2Riley Stillman30122
3Matt BenningJosh Mahura20122
4Adam PelechCaleb Jones10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominik Simon60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechMatt Benning60122
2Caleb Jones40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Victor Olofsson40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechCaleb Jones60122
2Riley Stillman40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Adam PelechCaleb Jones60122
240122Riley Stillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Dominik Simon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechCaleb Jones60122
2Riley Stillman40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominik SimonAdam PelechCaleb Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominik SimonAdam PelechCaleb Jones
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Antti Suomela, Kiefer Sherwood, Victor OlofssonAntti Suomela, Kiefer SherwoodVictor Olofsson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Benning, Josh Mahura, Riley StillmanMatt BenningJosh Mahura, Riley Stillman
Tirs de Pénalité
, , Dominik Simon, ,
Gardien
#1 : Laurent Brossoit, #2 : Joonas Korpisalo


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$ 2,304,000$ 1,543,695$ 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
20168445220321024351552804222110215124573172422311011511908210890435756119115142141139192544836818845107242982487215572917124.40%3124884.62%18953161059.19%964169256.97%675117457.50%1984127718146811309672
201784442305381327176151422760207017571104421717033111521054788327574901051161049414256785783882872231381860917212866121.33%3035083.50%11867172150.38%784163447.98%565108652.03%1987128118056861308667
20188233310564337524812741238024312041021024110230321217114625663756491024001461259512274091894085154270694274415592854315.09%3537778.19%12957179153.43%889180949.14%641118853.96%1948123617296631302681
Total Saison Régulière250122760131122611375795581257225065152624246378125505107674513333180244113719793116110404370328457851261125962524233744825842225483786217520.30%96817581.92%412777512254.22%2637513551.35%1881344854.55%592037955349203039212021
Séries
201612750000028280752000002016452300000812-414284775007108336011810111724377130100216371027.03%45686.67%015827357.88%13326250.76%9214165.25%28417828397191103
20179540000022193523000001111043100000118310223961015971271957094122579089197421126.19%37683.78%19219347.67%10818060.00%5010846.30%2091292057514272
2018624000001621-53120000079-231200000912-341627430066401946467630231715310124625.00%24579.17%05512444.35%7415547.74%337643.42%12474139539647
Total Séries271413000006668-2158700000383621266000002832-42866113179011825194825277238274368652912425141032726.21%1061783.96%130559051.69%31559752.76%17532553.85%618381628226430224