hellpepitosKingspatriots

 

 


Caribou

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Nicolas Martine | Morale : 50 | Moyenne d'Équipe : 66
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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
1Dmitrij Jaskin0XX100.00852769448051796632777952745947050670
2Mathieu Joseph (R)0X100.00822858385551787336798255664043050670
3Valeri Nichushkin (R)0X100.00772485497854756250787854704943050670
4Filip Zadina (R)0X100.00352083525372825833667467683738050640
5Sam Carrick0X100.00464478677546815633657466675979050630
6Michael McCarron0X100.00734552689338865734667262664761050610
7Ryan Poehling (R)0X100.00292282614951845831647469722736050600
8Trent Frederic (R)0X100.00533169656742815837667255673446050600
9Nicolas Roy0X100.00422776697231835633657063684355047580
10Logan Brown0X100.00282482608342835631647169683441047570
11Henri Jokiharju (R)0X100.00641964435368788330867555674038050720
12Jakob Chychrun0X100.00652864427171608528847662703548053720
13Robert Hagg0X100.00892356476962798129827567655647017700
14Erik Gudbranson0X100.00834154488766547925797471685758050700
15Noah Juulsen0X100.00833072486065747830797467663750047690
16Samuel Morin0X100.00474371618147796731726959684262050640
17Ryan Lindgren (R)0X100.00453072576154836731726954683555050640
18Andreas Englund0X100.00413376606147826731726961684760050630
19Dillon Heatherington0X100.00473467608534826831727155674857050620
20Jakub Zboril (R)0X100.00382686636038836731726953684443050610
Rayé
1Vitaly Abramov (R)0X100.00272483613365845631647070683740050590
MOYENNE D'ÉQUIPE100.0056307155685279673273736168435004864
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
1Mike Smith100.0092769289919392909299844578052850
2Sam Montembeault (R)100.0083908379828985859091642848050790
3Charlie Lindgren100.0082898376828686868953724762047780
Rayé
MOYENNE D'ÉQUIPE100.008685868185898887908173406305081
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett70707070707070CAN585450,000$


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
Andreas EnglundCaribou (MOO)D231996-01-21No189 Lbs191 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Charlie LindgrenCaribou (MOO)G251993-12-18No182 Lbs185 CMNoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Dillon HeatheringtonCaribou (MOO)D241995-05-09No225 Lbs193 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Dmitrij JaskinCaribou (MOO)LW/RW261993-03-23No216 Lbs188 CMNoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Erik GudbransonCaribou (MOO)D271992-01-07No217 Lbs196 CMNoNoNo1Pro & Farm4,000,000$4,000,000$0$0$NoLien / Lien NHL
Filip ZadinaCaribou (MOO)RW191999-11-27Yes195 Lbs183 CMNoNoNo1Pro & Farm1,744,167$1,744,167$0$0$NoLien
Henri JokiharjuCaribou (MOO)D201999-06-17Yes193 Lbs183 CMNoNoNo1Pro & Farm1,279,166$1,279,166$0$0$NoLien
Jakob ChychrunCaribou (MOO)D211998-03-31No210 Lbs188 CMNoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien / Lien NHL
Jakub ZborilCaribou (MOO)D221997-02-21Yes200 Lbs183 CMNoNoNo1Pro & Farm1,288,333$1,288,333$0$0$NoLien
Logan BrownCaribou (MOO)C211998-03-05No220 Lbs198 CMNoNoNo2Pro & Farm1,573,333$1,573,333$0$0$No1,573,333$Lien
Mathieu JosephCaribou (MOO)RW221997-02-09Yes190 Lbs185 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
Michael McCarronCaribou (MOO)RW241995-03-07No230 Lbs198 CMNoNoNo1Pro & Farm874,125$874,125$0$0$NoLien
Mike SmithCaribou (MOO)G371982-03-22No220 Lbs196 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Nicolas RoyCaribou (MOO)C221997-02-05No205 Lbs193 CMNoNoNo2Pro & Farm815,000$815,000$0$0$No815,000$Lien
Noah JuulsenCaribou (MOO)D221997-04-02No193 Lbs188 CMNoNoNo2Pro & Farm1,063,333$1,063,333$0$0$No1,063,333$Lien
Robert HaggCaribou (MOO)D241995-02-08No204 Lbs188 CMNoNoNo1Pro & Farm1,150,000$1,150,000$0$0$NoLien
Ryan LindgrenCaribou (MOO)D211998-02-11Yes201 Lbs183 CMNoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien
Ryan PoehlingCaribou (MOO)RW201999-01-03Yes183 Lbs188 CMNoNoNo1Pro & Farm1,491,667$1,491,667$0$0$NoLien
Sam CarrickCaribou (MOO)RW271992-02-04No204 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Sam MontembeaultCaribou (MOO)G221996-10-30Yes208 Lbs191 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Samuel MorinCaribou (MOO)D241995-07-12No202 Lbs198 CMNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Trent FredericCaribou (MOO)C211998-02-11Yes203 Lbs188 CMNoNoNo1Pro & Farm1,137,500$1,137,500$0$0$NoLien
Valeri NichushkinCaribou (MOO)RW241995-03-04Yes210 Lbs193 CMNoNoNo1Pro & Farm2,950,000$2,950,000$0$0$NoLien
Vitaly AbramovCaribou (MOO)RW211998-05-08Yes171 Lbs175 CMNoNoNo1Pro & Farm880,000$880,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.29203 Lbs188 CM1.171,259,686$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Valeri Nichushkin40122
2Dmitrij JaskinRyan Poehling30122
3Mathieu Joseph20122
4Trent FredericMichael McCarron10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri JokiharjuErik Gudbranson40122
230122
3Samuel MorinRyan Lindgren20122
4Erik Gudbranson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dmitrij JaskinValeri Nichushkin60122
2Ryan Poehling40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Henri Jokiharju60122
2Ryan Lindgren40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Valeri Nichushkin60122
2Trent Frederic40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gudbranson60122
2Ryan Lindgren40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Trent Frederic60122Erik Gudbranson60122
240122Ryan Lindgren40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Valeri Nichushkin60122
2Dmitrij Jaskin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Erik Gudbranson60122
2Ryan Lindgren40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valeri NichushkinHenri Jokiharju
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Valeri NichushkinErik Gudbranson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Poehling, , , Michael McCarron
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Morin, Jakub Zboril, Samuel MorinJakub Zboril,
Tirs de Pénalité
, Valeri Nichushkin, Dmitrij Jaskin, , Mathieu Joseph
Gardien
#1 : Mike Smith, #2 : Sam Montembeault


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$ 3,023,246$ 2,039,496$ 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
201684204901572275313-38421024013311541431142102500241121170-49402754527271082114711322637577557295428391091121112052474217.00%3159171.11%8669150044.60%730190538.32%489118341.34%1704109721646731227584
201684412805235431209222422390321421784133421819020212141258982431754118502133163127152461790866791482670974145115902568332.42%3996483.96%14855161952.81%1050194054.12%625122151.19%1832115319846871276633
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
201882304301323346321254116200121117717344114230011216914821603465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
20188233360344244535095411915023112341587641142101131211192196644565611011016514712610276495498081241327211416399343078728.34%3017973.75%2683158743.04%727196337.04%596137243.44%1666107620926561205581
Total Saison Régulière50017623702022252019501713237250971050121510111028804224250791320871599229091335219503204515477635708562681453647254946469333817139614151818646167437322.28%189341578.08%424225927445.56%47991122442.76%3104709243.77%10320642412383411276063716
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
2018514000001534-192110000069-330300000925-162152237003741179435673723176344922731.82%17476.47%03211228.57%3613426.87%247830.77%8755148376731
Total Séries275220000059123-6413310000003144-1314212000002879-51105998157001229153780226236272461031347239474962323.96%1032377.67%018654534.13%21765733.03%10934931.23%522314768233411192