beholdershellpepitosKingspatriots

 

 


Hooligans

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Maxime Lord | Morale : 50 | Moyenne d'Équipe : 74
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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
1Danton Heinen0X100.00442973334268897540878171694036063810
2Adrian Kempe0XX100.00663761305361847173838172744843046810
3Alex Iafallo (R)0XX100.00503483274170836843828176634034050800
4Tim Schaller0X100.00784158437559816761808268674846050800
5Matt Moulson0XX100.00453579367351817132808259807057050780
6Mike Ribeiro0X100.00493665435675776174796848848370050770
7Jonny Brodzinski0X100.00693372397444856936798662684234047770
8Drake Caggiula0X100.00834062343763736958798363624134049770
9Michael Amadio (R)0X100.00462679406142766569807855654543050730
10Zach Aston-Reese (R)0X100.00924159546449656136737671644245050730
11John Quenneville0X100.00663863575263675831707765714238047720
12Ales Hemsky0X100.00313463454856295931717864847968050710
13Dryden Hunt (R)0X100.00853465645148775833707658644239050700
14Frederick Gaudreau0X100.00443389593542756075757654634638050690
15Nick Schultz0X100.00643773597655797030726765408174050780
16Brett Kulak0X100.00473863495048848127797161624437049760
17Paul LaDue0X100.00573265456254737930767162644235047760
18Christian Wolanin (R)0X100.00413386524553787330736862653533050730
19Evan McEneny0X100.00263283596555776931726554654136050720
Rayé
1Ryan Carpenter0X100.00773869416359886876808268634644050800
2Sean Malone0X100.00263285615256795631677353653531050670
3Griffen Molino0X100.00323382683148775631677254653529050650
4Justin Kloos0X100.00512863643238775631677051654040050630
5TJ Tynan0X100.00373290702732735631677049654742050620
6Sami Niku (R)0X100.00263084583355766931726655654437050710
MOYENNE D'ÉQUIPE100.0053347349525476664375756166484305074
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
1Ken Appleby100.0080886381828191848568712954050810
Rayé
MOYENNE D'ÉQUIPE100.008088638182819184856871295405081
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
Adrian KempeHooligans (HOO)C/LW221996-09-13No195 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Ales HemskyHooligans (HOO)RW351983-08-13No177 Lbs183 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Alex IafalloHooligans (HOO)C/LW241993-12-21Yes185 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brett KulakHooligans (HOO)D241994-01-06No187 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm900,000$0$0$NoLien
Christian WolaninHooligans (HOO)D231995-03-17Yes185 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Danton HeinenHooligans (HOO)C231995-07-05No185 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm995,833$0$0$NoLien
Drake CaggiulaHooligans (HOO)RW241994-06-20No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Dryden HuntHooligans (HOO)LW221995-11-24Yes197 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Evan McEnenyHooligans (HOO)D241994-05-22No203 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Frederick GaudreauHooligans (HOO)C251993-05-01No179 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Griffen MolinoHooligans (HOO)C241994-01-21No171 Lbs180 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
John QuennevilleHooligans (HOO)C221996-04-16No195 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Jonny BrodzinskiHooligans (HOO)C251993-06-19No217 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Justin KloosHooligans (HOO)C241993-11-30No180 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Ken ApplebyHooligans (HOO)G231995-04-10No210 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm635,000$0$0$NoLien
Matt MoulsonHooligans (HOO)LW/RW341983-11-01No203 Lbs185 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Michael AmadioHooligans (HOO)C221996-05-13Yes204 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Mike RibeiroHooligans (HOO)C381980-02-10No179 Lbs183 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Nick SchultzHooligans (HOO)D361982-08-25No203 Lbs185 CMNoNoNo0Sans RestrictionPro & Farm0$0$NoLien / Lien NHL
Paul LaDueHooligans (HOO)D261992-09-06No198 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien / Lien NHL
Ryan CarpenterHooligans (HOO)C271991-01-18No200 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Sami NikuHooligans (HOO)D211996-10-10Yes176 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm916,667$0$0$NoLien
Sean MaloneHooligans (HOO)C231995-04-30No197 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
TJ TynanHooligans (HOO)C261992-02-25No165 Lbs173 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien / Lien NHL
Tim SchallerHooligans (HOO)C271990-11-16No210 Lbs188 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Zach Aston-ReeseHooligans (HOO)C241994-08-10Yes204 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.69192 Lbs185 CM0.85529,263$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Dryden Hunt30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
3Christian Wolanin20122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Dryden Hunt40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
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
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Zach Aston-Reese, Zach Aston-Reese
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Christian Wolanin, Christian Wolanin,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 : Ken Appleby


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$ 1,376,084$ 1,091,917$ 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
201684195301326255252342132101124116102144263200202139150-11382554146694379888552460777797880393014111283716192494819.28%3117476.21%9497162630.57%512204725.01%294104028.27%1673110523006461113502
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201784313703661242224184217180123110610514214190243013611917622424216632482698210246081880080959243684160121382894716.26%2857175.09%4957167957.00%854166051.45%51299851.30%1925119718476881322675
201882393500422503298205412612000122821181644113230041022118041785038281331232181781052326612211076961243033111553812463238024.77%2495478.31%7833189843.89%734174542.06%616137144.93%1904131519006101144558
Total Saison Régulière33412715608181312133010872431677963035896674582091674893051353663629342541330220135311012497445367241095537383609354515910944398023956513116825621.92%105424576.76%383101698644.39%2706693539.02%1988462542.98%744649307982258447852329
Séries
201640400000510-52020000025-32020000035-2058130001409420472341505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
2016624000001419-53120000078-131200000711-4414243800445120059636315185526312427311.11%241058.33%010013772.99%8312466.94%497169.01%1661071335710856
20171697000004754-78620000028208835000001934-151847801270019121335461821891631257421386238862427.91%43881.40%016139840.45%12636134.90%8322437.05%359243411130223105
2017954000001919043100000103752300000916-71019264504477128689831068199756822819315.79%34488.24%012818170.72%8213162.60%599661.46%2471671726213273
2018514000001426-122110000079-230300000717-10214193300526114047444542497933632214.55%11554.55%0188720.69%3412028.33%147418.92%8555158406628
Total Séries4017230000099128-2919118000005445921615000004583-38349915725604322635612663974264004313574762657231753318.86%1172776.92%041389046.40%34382741.48%21151141.29%9266141005323581287