hellpepitosKingspatriots

 

 


Vagabond

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jonathan Therrien | 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
1Colin White0X100.00401864324875737576828367693940047730
2Nick Ritchie0X100.00823733338667687437828262755060018730
3Devin Shore0X100.00652374366969777059818270714347046720
4Jesper Bratt0X100.00491873323770657661848470764136050720
5Oskar Lindblom0XX100.00611266355665887436798266655038047710
6Casey Mittelstadt0XXX100.00422473336262777169798254752939039700
7Charles Hudon0X100.00812753365760747249798053735256021690
8Zemgus Girgensons0XXX100.00802566497563666445778077785658032690
9Ryan Hartman0XX100.00763639375160787248798156625553022690
10Dylan Sikura0X100.00332083443652806631807951673338050650
11Eeli Tolvanen0X100.00342083614860825731657365683837025620
12Vitaly Abramov (R)0X100.00272483613365845631647070683740047600
13Mikhail Vorobyev (R)0X100.00352277625942815835677656673337047600
14Rem Pitlick (R)0X100.00222277665544845631646967683039047560
15Deryk Engelland0X100.00814967469172748023827576448477031760
16Mikhail Sergachev0X100.00672864417760918749877852714144017740
17Dylan DeMelo0X100.00703062456364748228857663635456050720
18Jake McCabe0X100.00812962467069628031827671615047050710
19Madison Bowey0X100.00732946486554888030827548654964050700
20Calle Rosen0X100.00331380565556826831727052684735050640
21Evan Bouchard (R)0X100.00412279355843826831727053683451047630
22Mark Friedman0X100.00322585594945846731726859683941047620
Rayé
1Troy Terry0XX100.00332280364565766633808159733339050680
2Lias Andersson0X100.00791842495349856265757953664339050650
3Adam Gaudette0X100.00662462394050776469767949663240050640
4Alex Formenton0X100.00412469643551785832657366683040050600
5Sami Niku0X100.00432380494551817630777439674641050670
6Louie Belpedio0X100.00342484605649836731726958683849050630
MOYENNE D'ÉQUIPE100.0054256846565878704176776068434604267
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
1Anthony Stolarz100.0084848684839087878958624960047800
2Oscar Dansk100.0080878676818188839451604562047780
Rayé
1Alex Nedeljkovic100.0080898775818086839250606271050790
MOYENNE D'ÉQUIPE100.008187867882848784925361526404879
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN374450,000$


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
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
Adam GaudetteVagabond (PIR)C221996-10-03No170 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Alex FormentonVagabond (PIR)LW201999-09-13No165 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Alex NedeljkovicVagabond (PIR)G231996-01-07No189 Lbs183 CMNoNoNo0Avec RestrictionPro & Farm0$0$NoLien
Anthony StolarzVagabond (PIR)G251994-01-20No210 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm761,250$0$0$NoLien
Calle RosenVagabond (PIR)D251994-02-02No186 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Casey MittelstadtVagabond (PIR)C/LW/RW201998-11-22No202 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,491,166$0$0$NoLien
Charles HudonVagabond (PIR)LW251994-06-23No196 Lbs178 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Colin WhiteVagabond (PIR)C221997-01-30No183 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Deryk EngellandVagabond (PIR)D371982-04-03No214 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm1,200,000$0$0$NoLien / Lien NHL
Devin ShoreVagabond (PIR)C251994-07-19No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm870,000$0$0$NoLien / Lien NHL
Dylan DeMeloVagabond (PIR)D261993-05-01No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Dylan SikuraVagabond (PIR)RW241995-06-01No166 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm1,387,500$0$0$NoLien
Eeli TolvanenVagabond (PIR)RW201999-04-22No191 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm3,145,833$0$0$NoLien
Evan BouchardVagabond (PIR)D191999-10-20Yes194 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,627,500$0$0$NoLien
Jake McCabeVagabond (PIR)D251993-10-12No206 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Jesper BrattVagabond (PIR)LW211998-07-30No175 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm825,000$0$0$NoLien
Lias AnderssonVagabond (PIR)C201998-10-13No190 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien
Louie BelpedioVagabond (PIR)D231996-05-14No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Madison BoweyVagabond (PIR)D241995-04-22No198 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm902,500$0$0$NoLien
Mark FriedmanVagabond (PIR)D231995-12-25No185 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien
Mikhail SergachevVagabond (PIR)D211998-06-25No215 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,744,166$0$0$NoLien
Mikhail VorobyevVagabond (PIR)C221997-01-05Yes194 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nick RitchieVagabond (PIR)LW231995-12-05No234 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm1,627,500$0$0$NoLien / Lien NHL
Oscar DanskVagabond (PIR)G251994-02-28No195 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Oskar LindblomVagabond (PIR)LW/RW231996-08-15No191 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien
Rem PitlickVagabond (PIR)LW221997-04-02Yes196 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Ryan HartmanVagabond (PIR)LW/RW251994-09-20No181 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Sami NikuVagabond (PIR)D221996-10-10No176 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm916,667$0$0$NoLien
Troy TerryVagabond (PIR)C/RW221997-09-10No178 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Vitaly AbramovVagabond (PIR)RW211998-05-08Yes171 Lbs175 CMNoNoNo2Contrat d'EntréePro & Farm880,000$0$0$NoLien
Zemgus GirgensonsVagabond (PIR)C/LW/RW251994-01-05No211 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.23192 Lbs185 CM1.231,196,503$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Devin Shore40122
230122
3Jesper Bratt20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabe40122
2Mikhail Sergachev30122
3Madison BoweyDylan DeMelo20122
4Jake McCabe10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Devin Shore60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabe60122
2Mikhail Sergachev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Devin Shore40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabe60122
2Mikhail Sergachev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jake McCabe60122
240122Mikhail Sergachev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Devin Shore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake McCabe60122
2Mikhail Sergachev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Devin ShoreJake McCabe
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Devin ShoreJake McCabe
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jesper Bratt, , Jesper Bratt,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Madison Bowey, Dylan DeMelo, Mikhail SergachevMadison BoweyDylan DeMelo, Mikhail Sergachev
Tirs de Pénalité
, , Devin Shore, , Jesper Bratt
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 4,004,160$ 1,942,206$ 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
2016841841062611241311-70421114042561501419427270201591170-7936241362603118271761820856916366921292854105426115832645018.94%1291786.82%2512136637.48%503165830.34%374111233.63%1633101522676631245591
20178438310453333031317422312012221631333042151903311167180-137633053886822118110957276992293689537246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201882185103325305322-1741102301214164150144182802111141172-3136305523828247711910492352773753790623198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
Total Saison Régulière25074123013101119876946-70125444906681247742453125307407437399522-1231488761423229957277300275347206238623252377228851330951145458685919222.35%56411779.26%282084466444.68%1964499339.34%1571356044.13%522733436272197736991789
Séries
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
Total Séries20911000005264-12106400000302551037000002239-17185288140001913173640202236186167242701013081072624.30%48883.33%016748534.43%14445231.86%8927032.96%426283541163274129