beholdershellpepitosKingspatriots

 

 


Casse-Tete

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Loupi Tessier-Parent | Morale : 50 | Moyenne d'Équipe : 76
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Jordan Weal0X100.00363468353461748059828265835345050800
2Noel Acciari0X100.00894073516457686360778170624137050770
3Brandon Tanev0X100.00904062444056776536808170624233050760
4Oskar Sundqvist0X100.00713457477247876276797962635050050760
5Andreas Johnsson (R)0X100.00453370543353755936707960645150050710
6Ben Harpur0X100.00774955528656807629766959634337050770
Rayé
1Blake Coleman0X100.00874252436066846872808480624442050820
2Artturi Lehkonen0X100.00592378293773767242808770685043050810
3Andrew Copp0X100.00692374456561827072827972614440050800
4Nick Cousins0X100.00744266394258816862808367825143050790
5Tyler Graovac0XX100.00663773527642716174738052634840050720
6Peter Cehlarik0X100.00442579496365615935717260684537050710
7A.J. Greer0X100.00845436597636795934747067643534050700
8Nick Paul0X100.00833576598536755936697756634337050700
9Janne Kuokkanen (R)0X100.00332885644050775731687556644035050670
10Dylan Gambrell (R)0X100.00263393614848795636687253653633050660
11Riley Barber0X100.00363373674638755631677050654440050640
12Tony DeAngelo (R)0X100.00524461433660808633847452734443039800
13Alexandre Carrier0X100.00263274623038776931726551654235050660
MOYENNE D'ÉQUIPE100.0060366950545377664775776266454004974
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
Rayé
1Philipp Grubauer100.0091897689969394939374757786050930
2Anton Forsberg100.0089887488929191899277764860050890
3Marek Langhamer100.0080865878818192848468714455050810
MOYENNE D'ÉQUIPE100.008788698590889289907374566705088
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
A.J. GreerCasse-Tete (CAP)LW211996-12-14No204 Lbs191 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Alexandre CarrierCasse-Tete (CAP)D211996-10-08No174 Lbs180 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Andreas JohnssonCasse-Tete (CAP)LW231994-11-21Yes180 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Andrew CoppCasse-Tete (CAP)LW241994-07-08No206 Lbs185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Anton ForsbergCasse-Tete (CAP)G251992-11-27No192 Lbs191 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Artturi LehkonenCasse-Tete (CAP)LW231995-07-04No183 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Ben HarpurCasse-Tete (CAP)D231995-01-12No222 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm653,000$0$0$NoLien
Blake ColemanCasse-Tete (CAP)C261991-11-28No200 Lbs180 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Brandon TanevCasse-Tete (CAP)LW261991-12-31No180 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Dylan GambrellCasse-Tete (CAP)C221996-08-26Yes195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,137,500$0$0$NoLien
Janne KuokkanenCasse-Tete (CAP)C201998-05-25Yes188 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jordan WealCasse-Tete (CAP)C261992-04-15No179 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm1,750,000$0$0$NoLien / Lien NHL
Marek LanghamerCasse-Tete (CAP)G241994-07-22No190 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Nick CousinsCasse-Tete (CAP)C251993-07-20No185 Lbs180 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Nick PaulCasse-Tete (CAP)LW231995-03-20No230 Lbs193 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Noel AcciariCasse-Tete (CAP)C261991-12-01No208 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien
Oskar SundqvistCasse-Tete (CAP)C241994-03-23No209 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Peter CehlarikCasse-Tete (CAP)LW231995-08-02No202 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Philipp GrubauerCasse-Tete (CAP)G261991-11-25No191 Lbs185 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Riley BarberCasse-Tete (CAP)RW241994-02-07No190 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Tony DeAngeloCasse-Tete (CAP)D221995-10-24Yes181 Lbs180 CMNoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Tyler GraovacCasse-Tete (CAP)C/RW251993-04-27No208 Lbs196 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2223.73195 Lbs185 CM0.36340,477$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
3Jordan Weal20122
4Brandon TanevNoel AcciariOskar Sundqvist10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben Harpur40122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ben Harpur60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jordan Weal60122Ben Harpur60122
2Oskar Sundqvist4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Oskar SundqvistBrandon Tanev60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ben Harpur
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Noel Acciari
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Tanev, , Noel Acciari,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Jordan Weal, , , ,
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$ 749,050$ 432,500$ 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
2016845018024555451913544225701252290882024225110120325510315210054597915242616718418710271290191386473239687885016472998327.76%3334686.19%23770165746.47%830171148.51%531130440.72%2054138318126581236626
20178453170146341039218422710002212011929422670124220920091064106351045341421371249272692489688746248091554914163156821.59%2645280.30%3849168650.36%640155141.26%715140051.07%1944130019066541242609
201784244702452218441-22342162101121127194-67428260133191247-156482183585760285656113234982975174751259290264713193025116.89%3056977.38%1593157837.58%615164537.39%440122835.83%1781114120586851254597
2018826590422063917546441362021003137224141297021203261032231306391058169702270202161931231202958948292880104966315022907525.86%3026279.47%24987181654.35%984197149.92%786137257.29%1897125418226361215623
Total Saison Régulière3341929109141810181211996131671044004694931546385167885105896881653228384181230304842514664588533411091038563518344619910348374427095884120627722.97%120422980.98%513199673747.48%3069687844.62%2472530446.61%767850797601263549482456
Séries
201619118000006344199720000036171910460000027270226311117400172222263521120020915491178169420781823.08%791778.48%422843552.41%19936854.08%8523036.96%490321385162299146
201740400000112-112020000016-52020000006-60112000100418151711666210251600.00%5180.00%063616.67%1910019.00%124327.91%5232144365419
2017734000001821-33120000078-1422000001113-2618304800972019875735002518434722528.00%17570.59%04513633.09%4215127.81%258629.07%14294183539444
2018171610000010234689900000056183887100000461630321021792810239412207052752222062545186149384751925.33%721184.72%623743454.61%20835458.76%14425257.14%443305331126248127
Total Séries473017000001841117323176000001004951241311000008462226018432150502657146215795695104821814535103629011943920.10%1733480.35%10516104149.57%46897348.10%26661143.54%11287531045379696338