hellpepitosKingspatriots

 

 


Barracuda

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dominic Joyal | Morale : 50 | Moyenne d'Équipe : 70
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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
1Jesper Bratt0X100.00491873323770657661848470764136050710
2Nikolay Goldobin0X100.00381767325667807349818255744737047710
3Barclay Goodrow0X100.00803244478051726479768067725870050680
4Devante Smith-Pelly0XX100.00823063478152746446757965756351047670
5Sam Steel (R)0X100.00381769414770816256728067714051050670
6Tyler Ennis0XX100.00692473353449597438788251876956050670
7Max Comtois (R)0X100.00523376576968825931687769683446050650
8Curtis Lazar0XX100.00823161506744766148767850625363047650
9Teddy Blueger (R)0X100.00792460465250816648738071674546050650
10Joey Anderson (R)0X100.00692471495059656350747969673339050650
11Brett Seney0X100.00712842442547856765778150663342050640
12Filip Chlapik0X100.00403069576051795935677660674547047620
13Nick Jensen0X100.00583070476367928028837569755651050730
14Derrick Pouliot0X100.00643163446263768128837648715554050720
15Connor Murphy0X100.00823156478166708226827567575253050710
16Slater Koekkoek0X100.00812855466252898229817646654757047700
17Connor Clifton0X100.00832946474356808030807533674048050680
18Jon Merrill0X100.00641252457563778027826949595134047680
19Andreas Borgman0X100.00832661526250857530767444664142047660
Rayé
1Nikita Scherbak0X100.00472470515956676058677757673940050630
2Cory Conacher0XXX100.00512949524644916133687853736056050620
3Kerby Rychel0X100.00414281668046845631657265665360050620
4Timothy Gettinger (R)0X100.00543283708432835631647067683863050590
MOYENNE D'ÉQUIPE100.0063276348605578694275775869485004967
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
1Carter Hutton100.0094899285959493939376895871017860
2Malcolm Subban100.0089838682879289899061885870047820
Rayé
1Al Montoya100.0082818277828886859098723472050800
2Scott Wedgewood100.0083888478828986868954606164050790
3Oscar Dansk100.0080878676818188839451604562050780
4Landon Bow100.0080898077818087839351605461050780
5Brandon Halverson100.0079917977817885827650604858050740
MOYENNE D'ÉQUIPE100.008487847984868886896370516504580
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
Al MontoyaBarracuda (ICE)G341985-02-13No200 Lbs188 CMNoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Andreas BorgmanBarracuda (ICE)D241995-06-18No199 Lbs183 CMNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Barclay GoodrowBarracuda (ICE)RW261993-02-26No215 Lbs188 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Brandon HalversonBarracuda (ICE)G231996-03-29No210 Lbs193 CMNoNoNo0Pro & Farm0$0$NoLien
Brett SeneyBarracuda (ICE)C231996-02-28No156 Lbs175 CMNoNoNo1Pro & Farm825,000$825,000$0$0$NoLien
Carter HuttonBarracuda (ICE)G331985-12-19No198 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien / Lien NHL
Connor CliftonBarracuda (ICE)D241995-04-28No175 Lbs180 CMNoNoNo1Pro & Farm735,000$735,000$0$0$NoLien
Connor MurphyBarracuda (ICE)D261993-03-26No212 Lbs193 CMNoNoNo1Pro & Farm3,850,000$3,850,000$0$0$NoLien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW291989-12-14No180 Lbs173 CMNoNoNo1Pro & Farm780,000$780,000$0$0$NoLien
Curtis LazarBarracuda (ICE)C/RW241995-02-02No205 Lbs183 CMNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Derrick PouliotBarracuda (ICE)D251994-01-16No196 Lbs183 CMNoNoNo1Pro & Farm1,100,000$1,100,000$0$0$NoLien / Lien NHL
Devante Smith-PellyBarracuda (ICE)LW/RW271992-06-14No223 Lbs183 CMNoNoNo1Pro & Farm1,430,000$1,430,000$0$0$NoLien / Lien NHL
Filip ChlapikBarracuda (ICE)C221997-06-03No196 Lbs185 CMNoNoNo2Pro & Farm894,166$894,166$0$0$No894,166$Lien
Jesper BrattBarracuda (ICE)LW211998-07-30No175 Lbs178 CMNoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien
Joey AndersonBarracuda (ICE)C211998-06-19Yes190 Lbs180 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jon MerrillBarracuda (ICE)D271992-02-03No205 Lbs191 CMNoNoNo2Pro & Farm1,375,000$1,375,000$0$0$No1,375,000$Lien / Lien NHL
Kerby RychelBarracuda (ICE)LW241994-10-07No213 Lbs185 CMNoNoNo1Pro & Farm725,000$725,000$0$0$NoLien
Landon BowBarracuda (ICE)G241995-08-24No210 Lbs196 CMNoNoNo1Pro & Farm697,500$697,500$0$0$NoLien
Malcolm SubbanBarracuda (ICE)G251993-12-21No200 Lbs188 CMNoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Max ComtoisBarracuda (ICE)LW201999-01-08Yes207 Lbs188 CMNoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Nick JensenBarracuda (ICE)D291990-09-21No194 Lbs183 CMNoNoNo1Pro & Farm1,080,000$1,080,000$0$0$NoLien / Lien NHL
Nikita ScherbakBarracuda (ICE)RW231995-12-30No192 Lbs188 CMNoNoNo1Pro & Farm1,063,333$1,063,333$0$0$NoLien
Nikolay GoldobinBarracuda (ICE)LW231995-10-07No196 Lbs180 CMNoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Oscar DanskBarracuda (ICE)G251994-02-28No195 Lbs191 CMNoNoNo0Pro & Farm0$0$NoLien
Sam SteelBarracuda (ICE)C211998-02-03Yes186 Lbs180 CMNoNoNo1Pro & Farm863,333$863,333$0$0$NoLien
Scott WedgewoodBarracuda (ICE)G271992-08-14No195 Lbs188 CMNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Slater KoekkoekBarracuda (ICE)D251994-02-18No193 Lbs188 CMNoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Teddy BluegerBarracuda (ICE)C251994-08-15Yes185 Lbs183 CMNoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Timothy GettingerBarracuda (ICE)LW211998-04-14Yes220 Lbs198 CMNoNoNo1Pro & Farm730,000$730,000$0$0$NoLien
Tyler EnnisBarracuda (ICE)C/LW291989-10-06No161 Lbs175 CMNoNoNo1Pro & Farm780,000$780,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.00196 Lbs185 CM1.17877,611$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay Goodrow40122
2Tyler Ennis30122
3Joey Anderson20122
4Brett Seney10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot40122
2Connor Murphy30122
3Nick Jensen20122
4Derrick Pouliot10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay Goodrow60122
2Tyler Ennis40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Connor Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Connor Murphy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Nick JensenDerrick Pouliot60122
240122Connor Murphy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nick JensenDerrick Pouliot60122
2Connor Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Barclay GoodrowNick JensenDerrick Pouliot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Barclay GoodrowNick JensenDerrick Pouliot
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joey Anderson, Brett Seney, Barclay GoodrowJoey Anderson, Brett SeneyBarclay Goodrow
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Connor Murphy, Nick JensenConnor Murphy, Nick Jensen
Tirs de Pénalité
, , , , Barclay Goodrow
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
42 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,632,833$ 2,403,200$ 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
201684204901572275313-38421024013311541431142102500241121170-49402754527271082114711322637577557295428391091121112052474217.00%3159171.11%8669150044.60%730190538.32%489118341.34%1704109721646731227584
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
20188250230333048424024441324013102651011644118190202021913980100484854133803182161135830971118103692627274695698114482997525.08%4177582.01%291042184756.42%1014189253.59%794129461.36%1931125717666541247635
201882304301323346321254116200121117717344114230011216914821603465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
Total Saison Régulière416151200011192510182114014202089184061011610476653822086011605914477473638302182131334954710637605543521273843354176408626413547485147357419137731122.59%171137877.91%754124804251.28%4322901047.97%3146606351.89%916058069649338563743188
Séries
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
201822121000000999091183000006341221147000003649-13249916426300282842180229627022016878313240278922122.83%1011882.18%326749653.83%29156151.87%18934155.43%493326544179323158
Total Séries27131400000105102313940000066442214410000003958-19261051732780028324329213293072681710633782663471072119.63%1092081.65%329858151.29%33668948.77%20839752.39%583384684222396187