hellpepitosKingspatriots

 

 


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 : 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
1Alex Iafallo0XX100.00572470365477797139808171734141050720
2Adrian Kempe0XX100.00672353356566787174808261785645046720
3Danton Heinen0X100.00531770345566797436828252744240063710
4Zach Aston-Reese0X100.00863559406959647142788275664053050690
5Marcus Sorensen0X100.00722768384657797640788258645346047690
6Drake Caggiula0X100.00822860364366637237788261644146049690
7Sam Steel (R)0X100.00381769414770816256728067714051047680
8Mathieu Joseph (R)0X100.00822858385551787336798255664043047680
9Michael Amadio0X100.00471367386645866868778149664742050670
10Dryden Hunt0X100.00833064405650846932788050664551050670
11Carl Grundstrom (R)0X100.00621673476070815931677766674536047650
12Mason Appleton (R)0X100.00712670446036806831798249673441047650
13Jonny Brodzinski0X100.00782469437244596438707951714040047630
14John Quenneville0X100.00543574606252725933677462734354047620
15Nico Sturm0X100.00322484677358835631647069683944047610
16Zack MacEwen (R)0X100.00373677707431835631657366683749047590
17Nicolas Aube-Kubel (R)0X100.00623187675125825631657163684752047570
18Christian Wolanin0X100.00463074435661808430837851663646050710
19Brett Kulak0X100.00762964455858808329817645654950049710
20Jimmy Schuldt0X100.00263083496974846731726957683256047680
21Paul LaDue0X100.00822468466849778230797645664043047680
22Philippe Myers (R)0X100.00663080537956797230747249674045047670
Rayé
1Justin Kloos0X100.00331880674032835631647069683945050540
MOYENNE D'ÉQUIPE100.0061267047605478683874775868424604966
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
1Mackenzie Blackwood (R)100.0085938788869191889159805362047820
2Ken Appleby100.0080918177818088839351605164050780
3Cal Petersen (R)100.0082908275829188877754714053047770
Rayé
MOYENNE D'ÉQUIPE100.008291838083878986875570486004879
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/LW231996-09-13No201 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm894,167$0$0$NoLien / Lien NHL
Alex IafalloHooligans (HOO)C/LW251993-12-21No188 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brett KulakHooligans (HOO)D251994-01-06No187 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm900,000$0$0$NoLien
Cal PetersenHooligans (HOO)G241994-10-19Yes185 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Carl GrundstromHooligans (HOO)RW211997-12-01Yes201 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Christian WolaninHooligans (HOO)D241995-03-17No185 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Danton HeinenHooligans (HOO)C241995-07-05No188 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm995,833$0$0$NoLien
Drake CaggiulaHooligans (HOO)RW251994-06-20No176 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Dryden HuntHooligans (HOO)LW231995-11-24No191 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Jimmy SchuldtHooligans (HOO)D241995-05-11No205 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
John QuennevilleHooligans (HOO)C231996-04-16No195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm894,167$0$0$NoLien
Jonny BrodzinskiHooligans (HOO)C261993-06-19No208 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Justin KloosHooligans (HOO)C251993-11-30No175 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Ken ApplebyHooligans (HOO)G241995-04-10No210 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm635,000$0$0$NoLien
Mackenzie BlackwoodHooligans (HOO)G221996-12-09Yes225 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm913,333$0$0$NoLien
Marcus SorensenHooligans (HOO)RW271992-04-07No175 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Mason AppletonHooligans (HOO)RW231996-01-15Yes193 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm758,333$0$0$NoLien
Mathieu JosephHooligans (HOO)RW221997-02-09Yes190 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm910,833$0$0$NoLien
Michael AmadioHooligans (HOO)C231996-05-13No204 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nico SturmHooligans (HOO)LW241995-05-03No207 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Nicolas Aube-KubelHooligans (HOO)RW231996-05-10Yes187 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm871,666$0$0$NoLien
Paul LaDueHooligans (HOO)D271992-09-06No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien / Lien NHL
Philippe MyersHooligans (HOO)D221997-01-25Yes210 Lbs196 CMNoNoNo2Contrat d'EntréePro & Farm678,889$0$0$NoLien
Sam SteelHooligans (HOO)C211998-02-03Yes186 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Zach Aston-ReeseHooligans (HOO)C251994-08-10No204 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Zack MacEwenHooligans (HOO)LW231996-07-08Yes205 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm995,833$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.77195 Lbs185 CM1.73893,707$



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$ 2,323,638$ 1,761,917$ 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
20168446220732444219225042297021122548616842171505212188106829244277412160413813416111260683388985451221481993918532756222.55%3235682.66%141033165662.38%987159162.04%783121764.34%2097138617146651277661
201684195301326255252342132101124116102144263200202139150-11382554146694379888552460777797880393014111283716192494819.28%3117476.21%9497162630.57%512204725.01%294104028.27%1673110523006461113502
201784165205506136447-311429220440377232-155427300110359215-156321362423782432485111180555558263558248593351614742824214.89%2624084.73%7698136651.10%820158051.90%526117244.88%170298520017211391691
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201882244803421473374994115200222026117388419280120121220111484738241297222001451238302911659109402529221056130115222716122.51%54914573.59%251112178462.33%1211197461.35%880141562.19%1895123318526531204603
201882393500422503298205412612000122821181644113230041022118041785038281331232181781052326612211076961243033111553812463238024.77%2495478.31%7833189843.89%734174542.06%616137144.93%1904131519006101144558
Total Saison Régulière50018224102024112221391876263250115940101081311538443092506714701014399861032-463642139362057591218785703620441593554735190516523416129594745509224170737421.91%190341578.19%8049871011349.31%48701042046.74%3665743149.32%11216733811703393573353609
Séries
201640400000322-192020000037-420200000015-15033600030077292123416958146410220.00%7442.86%0166425.00%2510424.04%94918.37%6739128325725
201640400000510-52020000025-32020000035-2058130001409420472341505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
20171697000004754-78620000028208835000001934-151847801270019121335461821891631257421386238862427.91%43881.40%016139840.45%12636134.90%8322437.05%359243411130223105
2018514000001827-9211000001210230300000617-112183452009630154674339521871948426311.54%371267.57%04510742.06%8314955.70%447757.14%10361132457435
2018514000001426-122110000079-230300000717-10214193300526114047444542497933632214.55%11554.55%0188720.69%3412028.33%147418.92%8555158406628
Total Séries3411230000087139-521688000005251118315000003588-53228714423100332426410113453442932913604782425191653219.39%1032971.84%024674333.11%28682534.67%15647033.19%683439961281472218