beholdershellpepitosKingspatriots

 

 


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 : 75
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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
1Alex Chiasson0X100.00594164417755816746817965715656050790
2Jimmy Hayes0X100.00814369398448816443808156695445050770
3Joshua Ho-Sang0X100.00312877323170856835856966714234050760
4Michael McCarron0X100.00935633549341876175787958644550050760
5Nikolay Goldobin0X100.00352881363556827033808366714335050760
6Nikita Scherbak0X100.00474166395361636235748367643933050740
7Tanner Richard0X100.00733458655058735635677455654740050690
8Laurent Dauphin0X100.00713652633747685950707758634137050690
9Nicolas Roy (R)0X100.00763279627049775634677155654248050690
10Vladislav Kamenev0X100.00523360645341285638687151653939050630
11Derrick Pouliot0X100.00553863436663758328847352675661050820
12Noah Juulsen (R)0X100.00833480523470797530756980633836046790
13Jon Merrill0X100.00512265507161767928797069644739050790
14Keegan Lowe (R)0X100.00694655596150736931726655645053037720
15Rinat Valiev0X100.00623759597643646931726656654239050700
Rayé
MOYENNE D'ÉQUIPE100.0063376451595473663875746166454304974
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
1Michael Hutchinson100.0083836880848689868884736171046860
2Scott Wedgewood100.0084927378858789868961694654050840
Rayé
MOYENNE D'ÉQUIPE100.008488717985878986897371546304885
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
Alex ChiassonBarracuda (SPA)RW271990-10-01No208 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Derrick PouliotBarracuda (SPA)D241994-01-16No208 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,288,000$0$0$NoLien / Lien NHL
Jimmy HayesBarracuda (SPA)RW281989-11-21No215 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm2,300,000$0$0$NoLien / Lien NHL
Jon MerrillBarracuda (SPA)D261992-02-03No205 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,137,500$0$0$NoLien / Lien NHL
Joshua Ho-SangBarracuda (SPA)RW221996-01-22No173 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,075,833$0$0$NoLien / Lien NHL
Keegan LoweBarracuda (SPA)D251993-03-29Yes193 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Laurent DauphinBarracuda (SPA)C231995-03-27No180 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Michael HutchinsonBarracuda (SPA)G281990-03-02No202 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Michael McCarronBarracuda (SPA)RW231995-03-07No230 Lbs198 CMNoNoNo2Avec RestrictionPro & Farm1,137,500$0$0$NoLien
Nicolas RoyBarracuda (SPA)C211997-02-05Yes208 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm790,000$0$0$NoLien
Nikita ScherbakBarracuda (SPA)RW221995-12-30No192 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,063,333$0$0$NoLien
Nikolay GoldobinBarracuda (SPA)LW221995-10-07No185 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien / Lien NHL
Noah JuulsenBarracuda (SPA)D211997-04-02Yes175 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,063,333$0$0$NoLien
Rinat ValievBarracuda (SPA)D231995-05-11No215 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Scott WedgewoodBarracuda (SPA)G261992-08-14No195 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Tanner RichardBarracuda (SPA)C251993-04-06No192 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Vladislav KamenevBarracuda (SPA)LW221996-08-12No194 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.00198 Lbs188 CM1.531,003,657$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinAlex Chiasson40122
2Vladislav KamenevTanner RichardJimmy Hayes30122
3Alex ChiassonJoshua Ho-Sang20122
4Nikolay GoldobinJimmy HayesMichael McCarron10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill40122
2Rinat ValievDerrick Pouliot30122
3Jon MerrillRinat Valiev20122
4Joshua Ho-SangTanner Richard10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay GoldobinAlex Chiasson60122
2Vladislav KamenevTanner RichardJimmy Hayes40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat ValievDerrick Pouliot40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex Chiasson60122
2Jimmy HayesNikolay Goldobin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Derrick PouliotJon Merrill60122
2Alex Chiasson40122Rinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex Chiasson60122
2Jimmy HayesNikolay Goldobin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Derrick PouliotJon Merrill60122
2Rinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinAlex ChiassonDerrick PouliotJon Merrill
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay GoldobinAlex ChiassonDerrick PouliotJon Merrill
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael McCarron, Joshua Ho-Sang, Vladislav KamenevMichael McCarron, Joshua Ho-SangVladislav Kamenev
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jon Merrill, Rinat Valiev, Derrick PouliotJon MerrillRinat Valiev, Derrick Pouliot
Tirs de Pénalité
, Alex Chiasson, Jimmy Hayes, Nikolay Goldobin, Joshua Ho-Sang
Gardien
#1 : Michael Hutchinson, #2 : Scott Wedgewood


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$ 1,706,216$ 1,055,250$ 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$ 3 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
2017841554024542582391942112201233155112434243201221103127-24302584487061590827912206364566072564256387973415802544417.32%3536980.45%18669146645.63%774173844.53%513105748.53%1739101919897261367684
201784224904252187286-9942142301130107131-24428260312280155-75441873155023247805115211260375372757269895035016803195115.99%1764276.14%2627144943.27%629161139.04%414103440.04%164496321097081334658
201882304301323346321254116200121117717344114230011216914821603465869322111912110342507810808851553025103751416502846021.13%2425975.62%5653153242.62%765183041.80%526120643.62%1686100519586771306666
Total Saison Régulière334871950814191110661159-931675189048105593559341673610604696473600-1271741066180128677833839730444894528152976303223011125395728096115110419717.84%108626175.97%332618594744.02%2898708440.91%1942448043.35%677440858221278652362594
Séries
201651400000612-6211000003303030000039-62691500041111933374811856526691500.00%8275.00%0318536.47%4512835.16%195633.93%9058139427329
201640400000426-222020000028-620200000218-1604711001210933135270172392270800.00%11190.91%0106714.93%159216.30%95316.98%6341127284819
201740400000822-142020000058-320200000314-11081321001520100353232114358186615320.00%9455.56%0447657.89%418846.59%205834.48%7343108336029
Total Séries13112000001860-42615000001019-970700000841-3321829470021141312991041072500162662053837.89%28775.00%08522837.28%10130832.79%4816728.74%22714337610518377