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 : 69
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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
1Frans Nielsen0X100.00562272346678647383828274998475017760
2Clayton Keller0XX100.00331868243485907842858369794036036750
3Kyle Okposo0X100.00642856318169607555818364847279050750
4Andrew Ladd0X100.00673459367470467635818266848190045740
5Derek Ryan0XX100.00412464345668797484828372736359061740
6Nick Ritchie0X100.00823733338667687437828262755060047730
7Kevin Labanc0X100.00522757284967928040848458785446032730
8Antoine Roussel0X100.00774930397861647157818266757175050720
9Mark Jankowski0X100.00442567377959907584798270724044050720
10Blake Comeau0XX100.00813251457575656647798082758061058720
11Connor Brown0X100.00432369395166946945808172715358050710
12Ryan Hartman0XX100.00763639375160787248798156625553050690
13Adam Erne0X100.00853752437848756954788152655160050680
14Chandler Stephenson0X100.00522476516556806260778168645344046670
15Drake Batherson (R)0X100.00443072465662816040728063673247050650
16Jay Bouwmeester0X100.00542262468275638021837568699172036740
17Johnny Boychuk0X100.00814067449068588422837569688582025740
18Dylan DeMelo0X100.00703062456364748228857663635456047720
19Radko Gudas0X100.00884352467764688326837572567265050720
Rayé
1Troy Terry0XX100.00332280364565766633808159733339047680
2Taro Hirose (R)0X100.00282280552971825935687769683038050640
3Adam Gaudette0X100.00662462394050776469767949663240047640
4Lias Andersson0X100.00791842495349856265757953664339047640
5Michael McLeod (R)0X100.00702965605556815948687657673759050630
6Eeli Tolvanen0X100.00342083614860825731657365683837047610
7Mikhail Vorobyev (R)0X100.00352277625942815835677656673337050600
8Rem Pitlick (R)0X100.00222277665544845631646967683039050550
9Louie Belpedio0X100.00342484605649836731726958683849047630
10Mark Friedman0X100.00322585594945846731726859683941050620
MOYENNE D'ÉQUIPE100.0056286444616276704577786471535404669
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
1Jonathan Bernier100.0094858882929391919074869091050860
Rayé
MOYENNE D'ÉQUIPE100.009485888292939191907486909105086
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN385450,000$


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'ÉquipePOSGP 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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam ErneVagabond (PIR)LW241995-04-20No214 Lbs185 CMNoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Adam GaudetteVagabond (PIR)C221996-10-03No170 Lbs185 CMNoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Lien
Andrew LaddVagabond (PIR)LW331985-12-12No192 Lbs191 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Antoine RousselVagabond (PIR)LW291989-11-21No199 Lbs180 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Blake ComeauVagabond (PIR)LW/RW331986-02-18No200 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Chandler StephensonVagabond (PIR)C251994-04-22No203 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Clayton KellerVagabond (PIR)C/LW211998-07-29No170 Lbs178 CMNoNoNo1Pro & Farm1,673,333$1,673,333$0$0$NoLien / Lien NHL
Connor BrownVagabond (PIR)RW251994-01-14No183 Lbs183 CMNoNoNo1Pro & Farm2,100,000$2,100,000$0$0$NoLien / Lien NHL
Derek RyanVagabond (PIR)C/RW321986-12-29No185 Lbs178 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Drake BathersonVagabond (PIR)RW211998-04-27Yes187 Lbs191 CMNoNoNo1Pro & Farm773,333$773,333$0$0$NoLien
Dylan DeMeloVagabond (PIR)D261993-05-01No195 Lbs185 CMNoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Eeli TolvanenVagabond (PIR)RW201999-04-22No191 Lbs178 CMNoNoNo1Pro & Farm3,115,000$3,115,000$0$0$NoLien
Frans NielsenVagabond (PIR)C351984-04-24No188 Lbs185 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Jay BouwmeesterVagabond (PIR)D351983-09-27No206 Lbs193 CMNoNoNo1Pro & Farm1,111,100$1,111,100$0$0$NoLien / Lien NHL
Johnny BoychukVagabond (PIR)D351984-01-19No227 Lbs188 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Jonathan BernierVagabond (PIR)G311988-08-07No184 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Kevin LabancVagabond (PIR)RW231995-12-12No185 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Kyle OkposoVagabond (PIR)RW311988-04-16No219 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Lias AnderssonVagabond (PIR)C201998-10-13No190 Lbs185 CMNoNoNo1Pro & Farm1,744,166$1,744,166$0$0$NoLien
Louie BelpedioVagabond (PIR)D231996-05-14No196 Lbs180 CMNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Mark FriedmanVagabond (PIR)D231995-12-25No185 Lbs180 CMNoNoNo1Pro & Farm825,000$825,000$0$0$NoLien
Mark JankowskiVagabond (PIR)C251994-09-13No212 Lbs193 CMNoNoNo1Pro & Farm1,675,000$1,675,000$0$0$NoLien
Michael McLeodVagabond (PIR)C211998-02-03Yes188 Lbs188 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien
Mikhail VorobyevVagabond (PIR)C221997-01-05Yes194 Lbs188 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nick RitchieVagabond (PIR)LW231995-12-05No234 Lbs188 CMNoNoNo2Pro & Farm1,498,925$1,498,925$0$0$No1,498,925$Lien / Lien NHL
Radko GudasVagabond (PIR)D291990-06-05No204 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Rem PitlickVagabond (PIR)LW221997-04-02Yes196 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Ryan HartmanVagabond (PIR)LW/RW251994-09-20No181 Lbs183 CMNoNoNo1Pro & Farm875,000$875,000$0$0$NoLien / Lien NHL
Taro HiroseVagabond (PIR)LW231996-06-30Yes160 Lbs178 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Troy TerryVagabond (PIR)C/RW221997-09-10No178 Lbs185 CMNoNoNo2Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.97194 Lbs185 CM1.171,092,084$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew Ladd40122
2Kyle Okposo30122
3Connor Brown20122
4Antoine RousselDrake Batherson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay Bouwmeester40122
2Johnny BoychukRadko Gudas35122
325122
40122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew LaddKyle Okposo60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay Bouwmeester60122
2Johnny BoychukRadko Gudas40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew Ladd60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay Bouwmeester60122
2Johnny BoychukRadko Gudas40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jay Bouwmeester60122
240122Radko Gudas40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Kyle Okposo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jay BouwmeesterJohnny Boychuk60122
2Radko Gudas40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddKyle OkposoJohnny BoychukJay Bouwmeester
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew LaddKyle OkposoJay Bouwmeester
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Connor Brown,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Radko Gudas, , Radko GudasRadko Gudas,
Tirs de Pénalité
Kyle Okposo, , Andrew Ladd, Ryan Hartman,
Gardien
#1 : Jonathan Bernier, #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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 3,276,252$ 2,824,504$ 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