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 : 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
1Joonas Donskoi0X100.00432369345865717434818356826748047720
2Nikolay Goldobin0X100.00381767325667807349818255744737050710
3Barclay Goodrow0X100.00803244478051726479768067725870047690
4Devante Smith-Pelly0XX100.00823063478152746446757965756351050680
5Tyler Pitlick0X100.00802466436961526937768170644742050680
6Jack Roslovic0XXX100.00521877385246897061798246714036047670
7Tyler Ennis0XX100.00692473353449597438788251876956016670
8Max Comtois (R)0X100.00523376576968825931687769683446047660
9Teddy Blueger (R)0X100.00792460465250816648738071674546047660
10Joey Anderson (R)0X100.00692471495059656350747969673339047650
11Brett Seney0X100.00712842442547856765778150663342047640
12Nick Jensen0X100.00583070476367928028837569755651021730
13Derrick Pouliot0X100.00643163446263768128837648715554047720
14Ben Chiarot0X100.00834055458564738227837563596059014720
15Samuel Girard0X100.00532579432969808378857653644141018710
16Connor Murphy0X100.0082315647816670822682756757525309710
17Slater Koekkoek0X100.00812855466252898229817646654757050700
Rayé
1Curtis Lazar0XX100.00823161506744766148767850625363050650
2Cory Conacher0XXX100.00512949524644916133687853736056016630
3Nikita Scherbak0X100.00472470515956676058677757673940047630
4Kerby Rychel0X100.00414281668046845631657265665360050620
5Blake Lizotte0X100.00262282683051845631647070683043047570
6Connor Clifton0X100.00832946474356808030807533674048047690
7Jon Merrill0X100.00641252457563778027826949595134050690
8Andreas Borgman0X100.00832661526250857530767444664142050670
MOYENNE D'ÉQUIPE100.0065276447595677704277775768494904067
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
1Malcolm Subban100.0089838682879289899061885870050820
2Al Montoya100.0082818277828886859098723472018800
Rayé
1Scott Wedgewood100.0083888478828986868954606164047790
2Landon Bow100.0080898077818087839351605461047780
3Brandon Halverson100.0079917977817885827650604858050740
MOYENNE D'ÉQUIPE100.008386827883858785886368516504279
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'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
Al MontoyaBarracuda (ICE)G341985-02-13No200 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Andreas BorgmanBarracuda (ICE)D241995-06-18No199 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Barclay GoodrowBarracuda (ICE)RW261993-02-26No215 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Ben ChiarotBarracuda (ICE)D281991-05-09No219 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,400,000$0$0$NoLien / Lien NHL
Blake LizotteBarracuda (ICE)LW211997-12-13No172 Lbs170 CMNoNoNo2Contrat d'EntréePro & Farm1,491,667$0$0$NoLien
Brandon HalversonBarracuda (ICE)G231996-03-29No210 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Brett SeneyBarracuda (ICE)C231996-02-28No156 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm825,000$0$0$NoLien
Connor CliftonBarracuda (ICE)D241995-04-28No175 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm735,000$0$0$NoLien
Connor MurphyBarracuda (ICE)D261993-03-26No212 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm3,850,000$0$0$NoLien / Lien NHL
Cory ConacherBarracuda (ICE)C/LW/RW291989-12-14No180 Lbs173 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien
Curtis LazarBarracuda (ICE)C/RW241995-02-02No205 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm950,000$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (ICE)D251994-01-16No196 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,100,000$0$0$NoLien / Lien NHL
Devante Smith-PellyBarracuda (ICE)LW/RW271992-06-14No223 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,300,000$0$0$NoLien / Lien NHL
Jack RoslovicBarracuda (ICE)C/LW/RW221997-01-29No187 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,106,666$0$0$NoLien
Joey AndersonBarracuda (ICE)C211998-06-19Yes190 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jon MerrillBarracuda (ICE)D271992-02-03No205 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Joonas DonskoiBarracuda (ICE)RW271992-04-13No190 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,900,000$0$0$NoLien / Lien NHL
Kerby RychelBarracuda (ICE)LW241994-10-07No213 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Landon BowBarracuda (ICE)G241995-08-24No210 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm697,500$0$0$NoLien
Malcolm SubbanBarracuda (ICE)G251993-12-21No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Max ComtoisBarracuda (ICE)LW201999-01-08Yes207 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nick JensenBarracuda (ICE)D291990-09-21No194 Lbs183 CMNoNoNo2Sans RestrictionPro & Farm1,080,000$0$0$NoLien / Lien NHL
Nikita ScherbakBarracuda (ICE)RW231995-12-30No192 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,063,333$0$0$NoLien
Nikolay GoldobinBarracuda (ICE)LW231995-10-07No196 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Samuel GirardBarracuda (ICE)D211998-05-12No162 Lbs178 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Scott WedgewoodBarracuda (ICE)G271992-08-14No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Slater KoekkoekBarracuda (ICE)D251994-02-18No193 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm865,000$0$0$NoLien / Lien NHL
Teddy BluegerBarracuda (ICE)C251994-08-15Yes185 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Tyler EnnisBarracuda (ICE)C/LW291989-10-06No161 Lbs175 CMNoNoNo2Sans RestrictionPro & Farm780,000$0$0$NoLien / Lien NHL
Tyler PitlickBarracuda (ICE)RW271991-11-01No200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.10195 Lbs185 CM1.631,088,944$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
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$ 3,266,834$ 2,607,450$ 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