beholdershellpepitosKingspatriots

 

 


Evil Saints

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 25 | GA: 23 | PP%: 25.81% | PK%: 50.00%
DG: Michael Pion | Morale : 50 | Moyenne d'Équipe : 78
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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 Tuch0X100.00694066278171897261848468764134032840
2Nick Schmaltz0XX100.00333473283379817571877972724035044820
3J.T. Compher0XXX100.00453767354973787074808464634237048800
4Dale Weise0X100.00845061427952776935798062506160047790
5Miles Wood0X100.00614940336257797435818663623432050790
6Eric Fehr0X100.00723562488051436673798168757972047780
7Tage Thompson (R)0XX100.00603172416955836634808262643532048760
8Kasperi Kapanen0X100.00782780484251876736778455684537050740
9Victor Ejdsell (R)0X100.00533090597862785748697661643935050730
10Daniel Sprong0XX100.00573082543365605930707963643933050710
11Eric Robinson0X100.00263188626152805631677355653230050670
12Brady Skjei0X100.00723467447471848631867364614739039850
13Jake Dotchin0X100.00825145468061808429837277624544050830
14Jakob Chychrun0X100.00683768426768718527837367683432039820
15Eric Gryba0X100.00885144499056778129807065575455047810
16Blake Hillman0X100.00533093593565807031726660653330050730
17Daniel Brickley (R)0X100.00513087586640816931726652653230050680
Rayé
MOYENNE D'ÉQUIPE100.0062377046636177714278776365433904777
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
1Alexandar Georgiev (R)100.0082916876848391868765702041050800
Rayé
MOYENNE D'ÉQUIPE100.008291687684839186876570204105080
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice70707070707070CAN515450,000$


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
1Jake DotchinEvil Saints (PIO)D751116216032197024327.14%3018927.01516253000009200.00%098001.6900000121
2Tage ThompsonEvil Saints (PIO)C/RW71051562019969213814.49%1216123.081562230000000036.48%15984011.8600000211
3Blake HillmanEvil Saints (PIO)D7191030013143317133.03%2715822.62112618000017000.00%0610001.2600000002
4Miles WoodEvil Saints (PIO)LW7707280281139152717.95%711616.6400000000020120.00%548001.2000000011
5Kasperi KapanenEvil Saints (PIO)RW7213-2001624214264.76%612317.58112101700000100.00%3130000.4900000001
6Victor EjdsellEvil Saints (PIO)C7022-20035307290.00%1012317.58011417000000046.26%147164000.3300000000
7Daniel BrickleyEvil Saints (PIO)D7011-10077241170.00%129313.340000000000000.00%052000.2100000000
8Eric RobinsonEvil Saints (PIO)LW7000100002010.00%1101.440000200000000.00%241000.0000000000
Stats d'équipe Total ou en Moyenne562529549260118673091091738.09%10597517.418917671170000293140.19%3166537011.1100000346
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
1Alexandar GeorgievEvil Saints (PIO)73310.9063.154382023245133300.000070000
Stats d'équipe Total ou en Moyenne73310.9063.154382023245133300.000070000


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
Alex TuchEvil Saints (PIO)RW221996-05-10No222 Lbs193 CMNoNoNo3Contrat d'EntréePro & Farm1,350,000$0$0$NoLien / Lien NHL
Alexandar GeorgievEvil Saints (PIO)G221996-02-10Yes180 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Blake HillmanEvil Saints (PIO)D221996-01-26No180 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Brady SkjeiEvil Saints (PIO)D241994-03-26No211 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Dale WeiseEvil Saints (PIO)RW301988-08-05No206 Lbs188 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Daniel BrickleyEvil Saints (PIO)D231995-03-30Yes203 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Daniel SprongEvil Saints (PIO)LW/RW211997-03-17No180 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Eric FehrEvil Saints (PIO)RW331985-09-07No208 Lbs193 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Eric GrybaEvil Saints (PIO)D301988-04-14No222 Lbs193 CMNoNoNo2Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Eric RobinsonEvil Saints (PIO)LW231995-06-14No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
J.T. CompherEvil Saints (PIO)C/LW/RW231995-04-08No193 Lbs183 CMNoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Jake DotchinEvil Saints (PIO)D241994-03-24No210 Lbs191 CMNoNoNo3Avec RestrictionPro & Farm616,667$0$0$NoLien / Lien NHL
Jakob ChychrunEvil Saints (PIO)D201998-03-31No210 Lbs188 CMNoNoNo3Contrat d'EntréePro & Farm1,350,000$0$0$NoLien / Lien NHL
Kasperi KapanenEvil Saints (PIO)RW221996-07-23No187 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Miles WoodEvil Saints (PIO)LW231995-09-13No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Nick SchmaltzEvil Saints (PIO)C/RW221996-02-23No177 Lbs183 CMNoNoNo3Contrat d'EntréePro & Farm1,541,667$0$0$NoLien / Lien NHL
Tage ThompsonEvil Saints (PIO)C/RW201997-10-30Yes205 Lbs196 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien
Victor EjdsellEvil Saints (PIO)C231995-06-06Yes214 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1823.72200 Lbs188 CM2.28983,102$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Victor EjdsellKasperi Kapanen30122
3Miles Wood20122
4Miles Wood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake Dotchin40122
2Blake Hillman30122
3Daniel Brickley20122
4Jake Dotchin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Victor EjdsellKasperi Kapanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake Dotchin60122
2Blake Hillman40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Miles Wood40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake Dotchin60122
2Blake Hillman40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jake Dotchin60122
240122Blake Hillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Miles Wood40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake Dotchin60122
2Blake Hillman40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake Dotchin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake Dotchin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Eric Robinson, , Eric Robinson,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Brickley, Blake Hillman, Daniel BrickleyBlake Hillman,
Tirs de Pénalité
, , , Miles Wood,
Gardien
#1 : Alexandar Georgiev, #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
Total734000002523233000000169740400000914-560.42925315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
2Zombie734000002523233000000169740400000914-560.42925315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
_Since Last GM Reset734000002523233000000169740400000914-560.42925315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
_Vs Conference734000002523233000000169740400000914-560.42925315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L12531563132451084212400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400002523
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000169
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4040000914
Derniers 10 Matchs
WLOTWOTL SOWSOL
330100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
31825.81%201050.00%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
12896711811770
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
7620137.81%4415927.67%3311528.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
182131158539946


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
1 - 2019-04-034Evil Saints1Zombie2LSommaire du Match
2 - 2019-04-0412Evil Saints3Zombie4LSommaire du Match
3 - 2019-04-0520Zombie3Evil Saints4WSommaire du Match
4 - 2019-04-0628Zombie3Evil Saints4WSommaire du Match
5 - 2019-04-0736Evil Saints2Zombie3LXSommaire du Match
6 - 2019-04-0844Zombie3Evil Saints8WSommaire du Match
7 - 2019-04-0952Evil Saints3Zombie5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,769,584$ 1,318,334$ 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$ 3 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
20168425520040338931079421324003022241457942122800101165165050389596985111331271290259786286487082941105745913473303610.91%1694672.78%1509175029.09%461173126.63%391124831.33%1749118621936371120523
201784224904252187286-9942142301130107131-24428260312280155-75441873155023247805115211260375372757269895035016803195115.99%1764276.14%2627144943.27%629161139.04%414103440.04%164496321097081334658
2017843032066462662343242151404414139115244215180223212711986026644170702898384112429811784783832635948101615872615019.16%4608082.61%11738158746.50%898197545.47%454107642.19%1785112820747081255592
201882432400546491283208412611002112671381294117130033522414579864917431234201921701256332412351143938502960102837411503438725.36%1784873.03%1933200046.65%711164143.33%612131946.40%1937134518696131171582
Total Saison Régulière33412015701017131713331113220167687205105773752920816752850578105965841224013332095342865461460389321046235113544331819811234398321995764125322417.88%98321678.03%152807678641.36%2699695838.79%1871467740.00%711746248247266848812356
Séries
201640400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819
20161046000002527-25230000014122523000001115-482545700071152291816810438351126102228371232.43%42685.71%07320236.14%7524131.12%3911833.05%2121202859817785
201740400000822-142020000058-320200000314-11081321001520100353232114358186615320.00%9455.56%0447657.89%418846.59%205834.48%7343108336029
201740400000714-72020000047-32020000037-407111800043011736453601344863611417.14%24866.67%0278830.68%5010249.02%174240.48%855498345626
2018734000002523233000000169740400000914-5625315600117703131289671182451084212431825.81%201050.00%07620137.81%4415927.67%3311528.70%182131158539946
Total Séries297220000069112-431459000004144-315213000002868-4014691071760020291829143112762705710453792475491052422.86%1062972.64%023063436.28%22568232.99%11838630.57%617391778248443207