beholdershellpepitosKingspatriots

 

 


Hellpepitos

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 6 | GA: 17 | PP%: 9.09% | PK%: 76.19%
DG: Louis-Philippe Parent | Morale : 99 | Moyenne d'Équipe : 87
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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
1Ondrej Palat0X100.00763681364983678442908378726355061880
2William Karlsson0X100.00451880254983837879858491705648076880
3James Neal0XX100.00634165248382647635838766827565073870
4Jordan Eberle0X100.00423480314676778546888572896769077870
5Michael Frolik0XX100.00473462336280767252848577718075069870
6Kyle Turris0X100.00413866245783727783888270886662074870
7Justin Abdelkader0XX100.00844856318378687154848071726869065860
8Gustav Nyquist0XX100.00461872264484857539858372836357077850
9Tomas Tatar0XXX100.00564069354177858238828769776453078850
10Tyler Bozak0X100.00493466256874697690888065846152049840
11Micheal Ferland0X100.00855962277864737048798571715050023820
12Paul Byron0XXX100.00764071302974717153838279795849048820
13Ryan Ellis0X100.00473870393585639126897780786572048910
14Jared Spurgeon0X100.00473378393087618931897578666348076890
15Jeff Petry0X100.00763475377682748831867566656051078890
16Tyson Barrie0X100.00413673364582719424927644725953078880
17Kevan Miller0X100.00834562478169598224847280595253018850
18Colin Miller0X100.00744159436066838833877655615045020840
Rayé
1Nolan Patrick (R)0X100.00484069335565817680838269753841055820
2Mattias Ekholm0X49.79483461428185838631877386666453074910
3Ryan Murray0X100.00413380476567478228837273594851021820
MOYENNE D'ÉQUIPE97.5758376934587772814686807273605605986
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
1Corey Crawford100.0091708393969395949472919497076950
2Anders Nilsson100.0086857798909292889277796475073910
Rayé
1Mike Condon100.0092887990929491919479804655021900
MOYENNE D'ÉQUIPE100.009081809493939391937683687605792
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Eddie70707070707070CAN352450,000$


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
1William KarlssonHellpepitosC4123-300410921411.11%16917.50011210000000050.75%6702000.8600000000
2James NealHellpepitosLW/RW4202-30010892622.22%16917.50101110000000042.86%710000.5700000000
3Jordan EberleHellpepitosRW4022-3002115250.00%15714.3500000000000060.00%511000.7000000000
4Ondrej PalatHellpepitosLW41120006512458.33%46416.1700027000030025.00%421000.6200000001
5Justin AbdelkaderHellpepitosLW/RW4022-31351134330.00%05413.7300017000000066.67%310000.7300100000
6Kyle TurrisHellpepitosC41120202292511.11%15814.6900017000000042.59%5420000.6800000000
7Gustav NyquistHellpepitosLW/RW4101-3202287212.50%37117.86000210000090080.00%510000.2800000000
8Kevan MillerHellpepitosD4011-14010103320.00%77518.7700021200009000.00%001000.2700000000
9Michael FrolikHellpepitosLW/RW4011020163130.00%15012.5800000000000050.00%611000.4000000000
10Colin MillerHellpepitosD4000-160513120.00%36616.700000000009000.00%000000.0000000000
11Jared SpurgeonHellpepitosD4000-320756520.00%69423.6000016000024000.00%011000.0000000000
12Jeff PetryHellpepitosD4000-3401132110.00%89323.4600002000023000.00%000000.0000000000
13Micheal FerlandHellpepitosLW4000-120263010.00%55012.6700000000024000.00%100000.0000000000
14Paul ByronHellpepitosC/LW/RW4000-100523010.00%2338.270000000018000.00%400000.0000000000
15Ryan EllisHellpepitosD4000-300124220.00%76015.110000300000000.00%001000.0000000000
16Tyson BarrieHellpepitosD4000-380119010.00%39223.2000021200004000.00%000000.0000000000
17Tomas TatarHellpepitosC/LW/RW4000-3002693100.00%04110.3600000000000013.33%3000000.0000000000
18Tyler BozakHellpepitosC4000-120364020.00%35714.42000000002240060.71%5601000.0000000000
Stats d'équipe Total ou en Moyenne7261016-35475857911538675.22%56116316.16112149300031420045.87%242109000.2700100001
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
1Corey CrawfordHellpepitos40400.8894.27239001715382000.000040000
Stats d'équipe Total ou en Moyenne40400.8894.27239001715382000.000040000


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
Anders NilssonHellpepitosG281990-03-19No229 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$NoLien / Lien NHL
Colin MillerHellpepitosD251992-10-29No196 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$NoLien / Lien NHL
Corey CrawfordHellpepitosG331984-12-31No216 Lbs188 CMNoNoNo1Sans RestrictionPro Only7,200,000$7,200,000$2,057,143$NoLien / Lien NHL
Gustav NyquistHellpepitosLW/RW291989-09-01No184 Lbs180 CMNoNoNo3Sans RestrictionPro Only4,750,000$4,750,000$1,357,143$NoLien / Lien NHL
James NealHellpepitosLW/RW311987-09-03No221 Lbs188 CMNoNoNo1Sans RestrictionPro Only5,000,000$5,000,000$1,428,571$NoLien / Lien NHL
Jared SpurgeonHellpepitosD281989-11-29No168 Lbs175 CMNoNoNo3Avec RestrictionPro & Farm5,187,500$5,187,500$1,482,143$NoLien / Lien NHL
Jeff PetryHellpepitosD301987-12-09No208 Lbs191 CMNoNoNo3Sans RestrictionPro Only6,600,000$6,600,000$1,885,714$NoLien / Lien NHL
Jordan EberleHellpepitosRW281990-05-15No187 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$1,714,286$NoLien / Lien NHL
Justin AbdelkaderHellpepitosLW/RW311987-02-25No214 Lbs188 CMNoNoNo3Sans RestrictionPro Only5,100,000$5,100,000$1,457,143$NoLien / Lien NHL
Kevan MillerHellpepitosD301987-11-15No210 Lbs188 CMNoNoNo1Sans RestrictionPro Only3,000,000$3,000,000$857,143$NoLien / Lien NHL
Kyle TurrisHellpepitosC291989-08-14No190 Lbs185 CMNoNoNo1Sans RestrictionPro Only3,500,000$3,500,000$1,000,000$NoLien / Lien NHL
Mattias Ekholm (Sur la Masse Salariale)HellpepitosD281990-05-24No215 Lbs193 CMNoNoNo3Avec RestrictionPro & Farm3,750,000$0$0$YesLien / Lien NHL
Michael FrolikHellpepitosLW/RW301988-02-17No194 Lbs185 CMNoNoNo3Sans RestrictionPro Only5,160,000$5,160,000$1,474,286$NoLien / Lien NHL
Micheal FerlandHellpepitosLW261992-04-20No208 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm825,000$825,000$235,714$NoLien / Lien NHL
Mike CondonHellpepitosG281990-04-27No195 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm2,400,000$2,400,000$685,714$NoLien / Lien NHL
Nolan PatrickHellpepitosC201998-09-19Yes198 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm3,575,000$3,575,000$1,021,429$NoLien
Ondrej PalatHellpepitosLW271991-03-28No188 Lbs183 CMNoNoNo5Avec RestrictionPro & Farm5,300,000$5,300,000$1,514,286$NoLien / Lien NHL
Paul ByronHellpepitosC/LW/RW291989-04-27No162 Lbs175 CMNoNoNo2Sans RestrictionPro & Farm1,167,000$1,167,000$333,429$NoLien / Lien NHL
Ryan EllisHellpepitosD271991-01-03No180 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$714,286$NoLien / Lien NHL
Ryan MurrayHellpepitosD241993-09-27No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm3,494,000$3,494,000$998,286$NoLien / Lien NHL
Tomas TatarHellpepitosC/LW/RW271990-12-01No185 Lbs178 CMNoNoNo3Avec RestrictionPro & Farm5,300,000$5,300,000$1,514,286$NoLien / Lien NHL
Tyler BozakHellpepitosC321986-03-19No199 Lbs185 CMNoNoNo2Sans RestrictionPro Only5,040,000$5,040,000$1,440,000$NoLien / Lien NHL
Tyson BarrieHellpepitosD271991-07-26No190 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm2,600,000$2,600,000$742,857$NoLien / Lien NHL
William KarlssonHellpepitosC251993-01-08No189 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,000,000$1,000,000$285,714$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2428.00197 Lbs185 CM2.003,768,688$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
90,448,500$59,429,500$47,147,500$5,300,000$5,300,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealWilliam KarlssonJordan Eberle35023
2Ondrej PalatKyle TurrisMichael Frolik31023
3Justin AbdelkaderTomas TatarGustav Nyquist29122
4Micheal FerlandTyler BozakPaul Byron5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson BarrieRyan Ellis40122
2Jared SpurgeonJeff Petry35122
3Kevan MillerColin Miller25122
4Ryan EllisJared Spurgeon0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealWilliam KarlssonGustav Nyquist60023
2Ondrej PalatKyle TurrisJustin Abdelkader40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Tyson BarrieKevan Miller60023
2Ryan EllisJared Spurgeon40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler BozakMicheal Ferland60122
2Paul ByronGustav Nyquist40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jeff PetryJared Spurgeon60122
2Kevan MillerColin Miller40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1William Karlsson60041Colin MillerKevan Miller60122
2Tomas Tatar40041Jared SpurgeonJeff Petry40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tomas TatarJames Neal60122
2Tyler BozakGustav Nyquist40131
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan EllisJeff Petry60122
2Jared SpurgeonColin Miller40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Ondrej PalatWilliam KarlssonJames NealRyan EllisTyson Barrie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gustav NyquistWilliam KarlssonJames NealRyan EllisJeff Petry
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ondrej Palat, Michael Frolik, Tomas TatarOndrej Palat, Michael FrolikOndrej Palat
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jeff Petry, Tyson Barrie, Colin MillerJeff PetryJeff Petry, Tyson Barrie
Tirs de Pénalité
Kyle Turris, William Karlsson, James Neal, Michael Frolik, Ondrej Palat
Gardien
#1 : Corey Crawford, #2 : Anders Nilsson
Lignes d'Attaque Perso. en Prol.
James Neal, William Karlsson, Kyle Turris, Ondrej Palat, Tyler Bozak, Michael Frolik, Michael Frolik, Gustav Nyquist, Tomas Tatar, Justin Abdelkader, Paul Byron
Lignes de Défense Perso. en Prol.
Tyson Barrie, Ryan Ellis, Jeff Petry, Jared Spurgeon, Kevan Miller


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
1Piranhas40400000617-112020000039-62020000038-500.0006101600042011529553101535647851119.09%21576.19%0379240.22%469448.94%285650.00%8048101325827
Total40400000617-112020000039-62020000038-500.0006101600042011529553101535647851119.09%21576.19%0379240.22%469448.94%285650.00%8048101325827
_Since Last GM Reset40400000617-112020000039-62020000038-500.0006101600042011529553101535647851119.09%21576.19%0379240.22%469448.94%285650.00%8048101325827

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L46101611515356478500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000617
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000039
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000038
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1119.09%21576.19%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
29553100420
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
379240.22%469448.94%285650.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
8048101325827


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 - 2019-04-037Hellpepitos2Piranhas5LSommaire du Match
2 - 2019-04-0415Hellpepitos1Piranhas3LSommaire du Match
3 - 2019-04-0523Piranhas2Hellpepitos1LSommaire du Match
4 - 2019-04-0631Piranhas7Hellpepitos2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets95573223193
Assistance14,00012,0006,00010,0004,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 23000 - 100.00% 2,389,960$4,779,920$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
0$ 86,698,500$ 13,160,833$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0$ 23 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 6 0$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 0$ 67,165,932$ 67,165,932$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Ondrej PalatAGE:27PO:0OV:88
James NealAGE:31PO:0OV:87
Michael FrolikAGE:30PO:0OV:87
Justin AbdelkaderAGE:31PO:0OV:86
Gustav NyquistAGE:29PO:0OV:85
Tomas TatarAGE:27PO:0OV:85
Micheal FerlandAGE:26PO:0OV:82
Paul ByronAGE:29PO:0OV:82
*Oskar LindblomAGE:22PO:0OV:77
Marko DanoAGE:23PO:0OV:73
Seth GriffithAGE:25PO:0OV:73
William KarlssonAGE:25PO:0OV:88
Kyle TurrisAGE:29PO:0OV:87
Tomas TatarAGE:27PO:0OV:85
Tyler BozakAGE:32PO:0OV:84
*Nolan PatrickAGE:20PO:0OV:82
Paul ByronAGE:29PO:0OV:82
Chandler StephensonAGE:24PO:0OV:80
Marko DanoAGE:23PO:0OV:73
James NealAGE:31PO:0OV:87
Jordan EberleAGE:28PO:0OV:87
Michael FrolikAGE:30PO:0OV:87
Justin AbdelkaderAGE:31PO:0OV:86
Gustav NyquistAGE:29PO:0OV:85
Tomas TatarAGE:27PO:0OV:85
Paul ByronAGE:29PO:0OV:82
Joonas DonskoiAGE:26PO:0OV:80
*Oskar LindblomAGE:22PO:0OV:77
Marko DanoAGE:23PO:0OV:73
*Tomas HykaAGE:25PO:0OV:69

Défense #1Défense #2Gardien
Mattias EkholmAGE:28PO:0OV:91
Ryan EllisAGE:27PO:0OV:91
Jared SpurgeonAGE:28PO:0OV:89
Jeff PetryAGE:30PO:0OV:89
Tyson BarrieAGE:27PO:0OV:88
Brandon ManningAGE:28PO:0OV:85
Kevan MillerAGE:30PO:0OV:85
Colin MillerAGE:25PO:0OV:84
Ryan MurrayAGE:24PO:0OV:82
Robert BortuzzoAGE:29PO:0OV:81
*Tony DeAngeloAGE:22PO:0OV:80
Matt IrwinAGE:30PO:0OV:80
Corey CrawfordAGE:33PO:0OV:95
Anders NilssonAGE:28PO:0OV:91
Mike CondonAGE:28PO:0OV:90
Malcolm SubbanAGE:24PO:0OV:84
Jared CoreauAGE:26PO:0OV:82

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Albin ErikssonHellpepitos201855RW-LW-7.0ALien
Connor HurleyHellpepitos201351C-7.0FLien
Jayce HawrylukHellpepitos201460C-7.0ELien
Jiri SekacHellpepitosLien
Joachim NermarkHellpepitos201192C-6.0FLien
Joakim AnderssonHellpepitos
Kristian TanusHellpepitos2018134CLien
Louie CaporussoHellpepitos2009118C-6.5FLien
Mark ArcobelloHellpepitos
Mattias LindstromHellpepitos2009110AG-6.5FLien
Sami AittokallioHellpepitosG-6.0FLien
Simon BertilssonHellpepitos200990D-6.5FLien
Stuart PercyHellpepitos
Tim BozonHellpepitos201242AG-6.5FLien
Vladimir TkachevHellpepitos201575AG-4.0DLien
Vladislav KartayevHellpepitos2010127C-4.0FLien

Choix au Repêchage

Année R1R2R3R4R5R6R7
2019PIO MOB HEL HEL CAP HEL HEL Out
2020HEL HEL HEL HEL HEL HEL HEL
2021HEL HEL HEL HEL HEL HEL HEL
2022HEL HEL HEL HEL HEL HEL HEL
2023HEL HEL HEL HEL HEL HEL HEL



[2019-04-08 06:07:31] - Hellpepitos was eliminated at round 1 of year 2018.
[2019-04-03 19:55:26] - Diabotins didn't make playoff for year 2018.
[2019-02-24 16:50:40] - TRADE : From Hellpepitos to MobyDicks : Matt Niskanen (92).
[2019-02-24 16:50:40] - TRADE : From MobyDicks to Hellpepitos : Tony DeAngelo (80).
[2019-02-18 06:05:46] - TRADE : From Hellpepitos to Pioneers : David Krejci (89), Y:2019-RND:7-CAP.
[2019-02-18 06:05:46] - TRADE : From Pioneers to Hellpepitos : Kyle Turris (87), Malcolm Subban (84), Jayce Hawryluk (P).
[2018-12-09 07:25:17] - TRADE : From Hellpepitos to Pioneers : Y:2019-RND:2-KLA, Y:2019-RND:5-CAP.
[2018-12-09 07:25:17] - TRADE : From Pioneers to Hellpepitos : Joonas Donskoi (80), Ondrej Palat (88).
[2018-10-16 06:11:53] - TRADE : From Titans to Hellpepitos : Micheal Ferland (83), Albin Eriksson (P), Y:2019-RND:7-Out.
[2018-10-16 06:11:53] - TRADE : From Hellpepitos to Titans : Mike Matheson (86).
[2018-10-13 06:34:03] - TRADE : From Hellpepitos to MobyDicks : Jimmy Vesey (81).
[2018-10-13 06:34:03] - TRADE : From MobyDicks to Hellpepitos : Paul Byron (82), Kristian Tanus (P).
[2018-10-01 18:43:39] - Matt Tennyson was released.
[2018-10-01 18:43:39] - Hellpepitos paid 0 $ to release Matt Tennyson.
[2018-08-04 08:09:22] - Mike Matheson was added to Hellpepitos.
[2018-08-04 07:27:40] - Oskar Lindblom was added to Hellpepitos.



[2019-04-07 06:25:26] Ryan Ellis from Hellpepitos is back from Right Hand Injury.
[2019-04-07 06:25:26] Game 23 - Ryan Ellis from Hellpepitos is injured (Right Hand) and is out for 2 days.
[2019-04-06 07:03:06] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-04-05 06:04:30] Auto Lines Partial Function has been run for Hellpepitos.
[2019-04-05 06:04:30] Hellpepitos lines errors : OT Forward #5 is empty. OT Defense #2 is empty.
[2019-04-05 06:04:14] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-04-02 06:02:00] Ryan Ellis from Hellpepitos is back from Bruised Left Leg Injury.
[2019-04-01 06:01:47] Game 814 - Mattias Ekholm from Hellpepitos is injured (Bruised Right Shoulder) and is out for 3 months.
[2019-04-01 06:01:18] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-31 06:47:47] Game 803 - Ryan Ellis from Hellpepitos is injured (Bruised Left Leg) and is out for 1 week.
[2019-03-30 07:40:29] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-28 05:31:07] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-27 06:05:33] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-27 06:05:33] Hellpepitos lines errors : OT Defense #3 is empty.
[2019-03-27 06:05:27] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-25 06:06:22] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-25 06:06:22] Hellpepitos lines errors : LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. OT Defense #3 is empty.
[2019-03-25 06:06:16] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-24 07:00:54] Last 7 Days Pro Star : 1 - Corey Crawford of Hellpepitos (0,979) / 2 - Patrik Laine of Lycans (4-6-10) / 3 - John Tavares of Lycans (4-5-9)
[2019-03-17 08:01:57] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-17 08:01:57] Hellpepitos lines errors : OT Forward #4 is empty.
[2019-03-14 05:22:57] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-13 05:22:38] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-13 05:22:38] Hellpepitos lines errors : OT Forward #5 is empty.
[2019-03-13 05:22:32] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-12 05:16:19] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-12 05:16:18] Hellpepitos lines errors : LastMinOff line LW is empty. LastMinDef line LW is empty. OT Forward #6 is empty.
[2019-03-12 05:16:14] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-10 08:57:13] Last 7 Days Pro Star : 1 - Rickard Rakell of Hoodlums (4-3-7) / 2 - Jordan Eberle of Hellpepitos (4-3-7) / 3 - John Tavares of Lycans (5-3-8)
[2019-03-09 06:35:58] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-08 07:21:48] Kyle Turris from Hellpepitos is back from Sore Right Knee Injury.
[2019-03-05 06:04:19] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-04 06:53:26] Auto Lines Partial Function has been run for Hellpepitos.
[2019-03-04 06:53:26] Hellpepitos lines errors : OT Forward #1 is empty.
[2019-03-04 06:53:17] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-03-03 06:33:00] Game 672 - Kyle Turris from Hellpepitos is injured (Sore Right Knee) and is out for 1 week.
[2019-02-28 06:05:41] Successfully loaded Hellpepitos lines done with Web Base Client and SQLite Database.
[2019-02-26 06:08:03] Auto Lines Partial Function has been run for Hellpepitos.
[2019-02-26 06:08:03] Hellpepitos lines errors : OT Defense #3 is empty.



Pas de Blessure ou de Suspension.


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
201684254704413184231-474212220421198112-144213250020286119-3350184330514464077626224068271082841244787037616302183616.51%1313275.57%2825162050.93%857160953.26%52198752.79%1837113718676971362689
201784313406454215221-642171404223115113242142002231100108-8622153886031574636716252481678288576244687947816822845117.96%2384083.19%4870172450.46%783164347.66%501100749.75%1887118518817051327663
201784313904622218260-4242181803210115126-1142132101412103134-3162218390608227571668243685274082732243479949017953046220.39%2394382.01%2952176054.09%853155454.89%608102759.20%1955124818116901310660
201882313409233202206-44118130612110898104113210311294108-14622023595613572704813258490886477165260792464016383245717.59%2886278.47%7869181048.01%830172748.06%45496147.24%1863116818276841283643
Total Saison Régulière334118154023161112819918-991676567017765436449-13167538706957383469-862368191467228610182612812434397843258309633112149934347219846745113020618.23%89617780.25%153516691450.85%3323653350.86%2084398252.34%754347397388277852842656
Séries
2016945000001730-1342200000612-6523000001118-78172946003662274748197222971103917520630.00%17758.82%010118155.80%10021047.62%5511249.11%1991272157414673
2016201370000062539106400000322661073000003027326621061680019221925951681742322160919799404541425.93%32778.13%020040849.02%22540755.28%14325855.43%432262467169335169
20171376000002632-6633000001316-3743000001316-3142648740191052356109117114164231527423937513.51%37975.68%011727342.86%9626636.09%5715237.50%278166311113213107
2017734000002022-232100000972413000001115-4620355500784121669686910223705916031619.35%25484.00%06714845.27%7514751.02%449247.83%162971716411858
201840400000617-112020000039-62020000038-506101600042011529553101535647851119.09%21576.19%0379240.22%469448.94%285650.00%8048101325827
Total Séries53272600000131154-23251312000006370-7281414000006884-1654131228359013850367155644949554369170558531810631533220.92%1323275.76%0522110247.37%542112448.22%32767048.81%11517021267453872435