hellpepitosKingspatriots

 

 


Requins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Karl Freniere | Morale : 50 | Moyenne d'Équipe : 58
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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
1Christian Dvorak0X100.00685695867172647672514966756464050650
2David Kampf0X100.00684295767266845965494773756363050630
3Brett Howden0X100.00754387807264855875484781255959050630
4Max Jones0X100.00794482737667876338474766255555050610
5Frederik Gauthier0X100.00774494708853835662484670256364050600
6John Hayden0X100.00848064738554665830464677255959050600
7William Carrier0X100.00965384807855806146484760256162050580
8Brendan Perlini0X100.00684490847958716525474659756464050580
9Jaret Anderson-Dolan (R)0X100.00726783796763645974414162514444050570
10Rudolfs Balcers0X100.00744296656162816726494656254949050570
11Evgeny Svechnikov (R)0X100.00757967687952515850393963554444050540
12Nikita Zadorov0X100.00945372828773846225413971256566050590
13Vince Dunn0X100.00684986857371926625434055256061050580
14Victor Mete0X100.00624191816570825825413965256060050560
15Brendan Guhle0X100.00725186756972755225393871255858050550
16Steven Santini0X100.00806582727665665432343363385454050510
17Guillaume Brisebois0X100.00747081686768704925313164395151050500
Rayé
1Austin Watson0X100.00918068788062645938494776536667045630
2Adam Erne0X100.00904484727760786246484660756061050590
3Oliver Wahlstrom (R)0X100.00777581807563655850393964554444050570
4David Kase (R)0XXX100.00716391626363665569393960504444050560
5Jake Bean0X100.00736983676978836225383863484444050570
6William Lagesson (R)0X100.00777679657664675225323263434444050500
7Martin Fehervary (R)0X100.00757283727266714725313160394444050490
MOYENNE D'ÉQUIPE100.0077588475746474594242416543555505057
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
1Tristan Jarry100.0073747776807070747576755252050690
Rayé
MOYENNE D'ÉQUIPE100.007374777680707074757675525205069
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme70707070707070CAN472450,000$


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 ErneRequins (COU)LW251995-04-20No214 Lbs185 CMNoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Austin WatsonRequins (COU)LW281992-01-12No204 Lbs193 CMNoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Brendan GuhleRequins (COU)D231997-07-29No186 Lbs185 CMNoNoNo1Pro & Farm888,333$888,333$0$0$NoLien
Brendan PerliniRequins (COU)LW241996-04-27No212 Lbs191 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien / Lien NHL
Brett HowdenRequins (COU)C221998-03-29No193 Lbs188 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Christian DvorakRequins (COU)C241996-02-02No195 Lbs183 CMNoNoNo1Pro & Farm1,106,667$1,106,667$0$0$NoLien / Lien NHL
David KampfRequins (COU)C251995-01-12No191 Lbs188 CMNoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
David KaseRequins (COU)C/LW/RW231997-01-28Yes170 Lbs180 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Evgeny SvechnikovRequins (COU)RW231996-10-31Yes212 Lbs191 CMNoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Frederik GauthierRequins (COU)C251995-04-26No238 Lbs196 CMNoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
Guillaume BriseboisRequins (COU)D231997-07-21No175 Lbs188 CMNoNoNo1Pro & Farm888,333$888,333$0$0$NoLien
Jake BeanRequins (COU)D221998-06-09No187 Lbs185 CMNoNoNo1Pro & Farm1,363,333$1,363,333$0$0$NoLien
Jaret Anderson-DolanRequins (COU)RW211999-09-11Yes188 Lbs180 CMNoNoNo1Pro & Farm910,833$910,833$0$0$NoLien
John HaydenRequins (COU)LW251995-02-14No223 Lbs191 CMNoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Martin FehervaryRequins (COU)D201999-10-06Yes194 Lbs188 CMNoNoNo2Pro & Farm894,167$894,167$0$0$No894,167$Lien
Max JonesRequins (COU)LW221998-02-16No203 Lbs191 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Nikita ZadorovRequins (COU)D251995-04-15No230 Lbs196 CMNoNoNo2Pro & Farm2,150,000$2,150,000$0$0$No2,150,000$Lien / Lien NHL
Oliver WahlstromRequins (COU)RW202000-06-12Yes205 Lbs185 CMNoNoNo2Pro & Farm1,462,500$1,462,500$0$0$No1,462,500$Lien
Rudolfs BalcersRequins (COU)LW231997-04-08No165 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Steven SantiniRequins (COU)D251995-03-07No205 Lbs188 CMNoNoNo2Pro & Farm1,416,667$1,416,667$0$0$No1,416,667$Lien / Lien NHL
Tristan JarryRequins (COU)G251995-04-25No194 Lbs188 CMNoNoNo1Pro & Farm675,000$675,000$0$0$NoLien / Lien NHL
Victor MeteRequins (COU)D221998-06-07No184 Lbs178 CMNoNoNo2Pro & Farm870,000$870,000$0$0$No870,000$Lien
Vince DunnRequins (COU)D231996-10-28No203 Lbs183 CMNoNoNo2Pro & Farm888,333$888,333$0$0$No888,333$Lien
William CarrierRequins (COU)LW251994-12-20No212 Lbs188 CMNoNoNo1Pro & Farm725,000$725,000$0$0$NoLien / Lien NHL
William LagessonRequins (COU)D241996-02-22Yes207 Lbs188 CMNoNoNo2Pro & Farm758,333$758,333$0$0$No758,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2523.48200 Lbs188 CM1.401,010,533$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniBrett HowdenJaret Anderson-Dolan40122
2Rudolfs BalcersChristian DvorakEvgeny Svechnikov30122
3Max JonesBrett Howden20122
4John HaydenChristian Dvorak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniBrett HowdenJaret Anderson-Dolan60122
2Rudolfs BalcersChristian DvorakEvgeny Svechnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan Perlini40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brett Howden6012260122
2Christian Dvorak4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brett HowdenChristian Dvorak60122
2Brendan Perlini40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-Dolan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniBrett HowdenJaret Anderson-Dolan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Brendan Guhle, Guillaume BriseboisBrendan Guhle, Guillaume Brisebois
Tirs de Pénalité
Brett Howden, Christian Dvorak, Brendan Perlini, , Rudolfs Balcers
Gardien
#1 : , #2 : Tristan Jarry


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$ 2,526,331$ 2,159,333$ 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
201684363104481458288170422214020312961361604214170245016215210724587931251311641271551528081005917855642374888129515362939030.72%3848478.13%151091169764.29%1039164563.16%824132362.28%2099142717706521225617
201784393301731394436-42422313013111971781942162000420197258-61783946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
2018823936002234032721314124140012022211211041152200103181160217840366510681015613011542896110095383729285799832310473287121.65%1604870.00%4936180052.00%793169146.90%610122349.88%1904129718376291207603
20188250230333048424024441324013102651011644118190202021913980100484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
Total Saison Régulière33216412308161651739123650316610145047729805274531666378049937597095032817392981472058636558521311174242113887356515610360370733235602123632226.05%131930676.80%594072718556.67%3667683053.69%2968525356.50%800053997171258848982450
Séries
2016844000002933-44220000013112422000001622-682951800061211025568909702667518013819736.84%46980.43%39215858.23%11919461.34%7512460.48%1891281835710651
2017945000002638-12532000001620-4413000001018-882645710012752315109113885271959914648612.50%421271.43%212321656.94%8418545.41%7212458.06%2211502026912360
201851400000916-72110000066030300000310-7291625002511165595347621172324628310.71%17476.47%04411936.97%4713634.56%165529.09%10873136416830
201822121000000999091183000006341221147000003649-13249916426300282842180229627022016878313240278922122.83%1011882.18%326749653.83%29156151.87%18934155.43%493326544179323158
Total Séries44212300000163177-14221480000098782022715000006599-344216327643900485259415375325264522716265555516081873719.79%2064379.13%852698953.19%541107650.28%35264454.66%10126791067348621301