Barracuda

GP: 7 | W: 0 | L: 5 | OTL: 2 | P: 2
GF: 24 | GA: 52 | PP%: 34.29% | PK%: 52.63%
DG: Jonathan Limoges | Morale : 46 | Moyenne d'Équipe : 67
Prochain matchs #88 vs Blacknight
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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
1Robby FabbriX100.006239826668705964716362586065648152680
2Martin NecasX100.005736906378807060716259585560628752660
3Griffin ReinhartX100.007336905889949556305452594869658052660
4Chris WidemanX100.006240796667766365307260575077705352650
5Haydn FleuryX100.006838865985776258305953645265638652650
6Duncan SiemensX100.007141765385888252305451594871667752640
7Joe HickettsX100.005637885964897058305753684665635352640
Rayé
MOYENNE D'ÉQUIPE100.00643884617782725942605660516765745265
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
1Scott Wedgewood100.00788280797776787776787773774652750
Rayé
MOYENNE D'ÉQUIPE100.0078828079777678777678777377465275
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter73777073908455CAN602500,000$


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Chris WidemanBarracuda (SJ.)D271990-01-07No183 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Duncan SiemensBarracuda (SJ.)D241993-09-07No210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm784,166$0$0$NoLien
Griffin ReinhartBarracuda (SJ.)D231994-01-24No212 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Haydn FleuryBarracuda (SJ.)D211996-07-08No208 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm850,000$0$0$NoLien
Joe HickettsBarracuda (SJ.)D211996-05-04No180 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Martin NecasBarracuda (SJ.)C181999-01-15No189 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Robby FabbriBarracuda (SJ.)C211996-01-22No190 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$NoLien
Scott WedgewoodBarracuda (SJ.)G251992-08-14No195 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
822.50196 Lbs6 ft11.13807,396$



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
1Blacknight1010000047-3000000000001010000047-300.0004711001914037245557035612118225.00%6266.67%14410940.37%419045.56%6615243.42%138751616812255
2Condors1000010056-11000010056-10000000000010.500581300191402124555701568148337.50%4250.00%04410940.37%419045.56%6615243.42%138751616812255
3Gulls20100100613-71000010045-11010000028-610.250610160019140342455570471620267228.57%11645.45%04410940.37%419045.56%6615243.42%138751616812255
4Heat10100000312-910100000312-90000000000000.0003690019140172455570472314136233.33%7442.86%04410940.37%419045.56%6615243.42%138751616812255
5Reigh1010000036-3000000000001010000036-300.00036900191401624555701634123266.67%2150.00%04410940.37%419045.56%6615243.42%138751616812255
Total705002002452-28301002001223-11404000001229-1720.14324436700191401362455570186617486351234.29%381852.63%14410940.37%419045.56%6615243.42%138751616812255
7Wolves1010000038-5000000000001010000038-500.000369001914011245557026716103133.33%8362.50%04410940.37%419045.56%6615243.42%138751616812255
_Since Last GM Reset705002002452-28301002001223-11404000001229-1720.14324436700191401362455570186617486351234.29%381852.63%14410940.37%419045.56%6615243.42%138751616812255
_Vs Conference705002002452-28301002001223-11404000001229-1720.14324436700191401362455570186617486351234.29%381852.63%14410940.37%419045.56%6615243.42%138751616812255
_Vs Division604002002144-23301002001223-1130300000921-1220.16721375800191401252455570160545876321134.38%301550.00%14410940.37%419045.56%6615243.42%138751616812255

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
72OTL124436713618661748600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
70502002452
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30102001223
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
40400001229
Derniers 10 Matchs
WLOTWOTL SOWSOL
050200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
351234.29%381852.63%1
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
245557019140
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
4410940.37%419045.56%6615243.42%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
138751616812255


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
1 - 2019-10-043Barracuda3Wolves8LSommaire du Match
3 - 2019-10-0612Barracuda3Reigh6LSommaire du Match
5 - 2019-10-0823Heat12Barracuda3LSommaire du Match
7 - 2019-10-1038Gulls5Barracuda4LXSommaire du Match
11 - 2019-10-1453Barracuda4Blacknight7LSommaire du Match
13 - 2019-10-1665Barracuda2Gulls8LSommaire du Match
14 - 2019-10-1771Condors6Barracuda5LXSommaire du Match
16 - 2019-10-1988Blacknight-Barracuda-
17 - 2019-10-2093Barracuda-Heat-
20 - 2019-10-23114Reigh-Barracuda-
21 - 2019-10-24115Barracuda-Condors-
24 - 2019-10-27137Heat-Barracuda-
26 - 2019-10-29148Barracuda-Blacknight-
29 - 2019-11-01162Blacknight-Barracuda-
32 - 2019-11-04174Barracuda-Stars-
34 - 2019-11-06184Barracuda-Condors-
35 - 2019-11-07191Gulls-Barracuda-
39 - 2019-11-11209Sound Tigers-Barracuda-
41 - 2019-11-13220Barracuda-Moose-
43 - 2019-11-15231Devils-Barracuda-
45 - 2019-11-17241Barracuda-Stars-
47 - 2019-11-19253Rocket-Barracuda-
50 - 2019-11-22269Barracuda-Penguins-
52 - 2019-11-24280Icedogs-Barracuda-
54 - 2019-11-26290Barracuda-Moose-
56 - 2019-11-28303Wolves-Barracuda-
60 - 2019-12-02323Wolves-Barracuda-
64 - 2019-12-06342Admirals-Barracuda-
66 - 2019-12-08356Barracuda-Wolves-
68 - 2019-12-10364Blacknight-Barracuda-
70 - 2019-12-12376Barracuda-Devils-
73 - 2019-12-15390Phantoms-Barracuda-
75 - 2019-12-17403Barracuda-Condors-
78 - 2019-12-20413Bruins-Barracuda-
80 - 2019-12-22432Barracuda-Marlies-
81 - 2019-12-23437Barracuda-Heat-
82 - 2019-12-24442Gulls-Barracuda-
85 - 2019-12-27462Barracuda-Rocket-
86 - 2019-12-28467Thunderbird-Barracuda-
90 - 2020-01-01486Crunch-Barracuda-
92 - 2020-01-03495Barracuda-Blacknight-
94 - 2020-01-05504Barracuda-Thunderbird-
96 - 2020-01-07513Penguins-Barracuda-
98 - 2020-01-09527Barracuda-Phantoms-
100 - 2020-01-11537Monsters-Barracuda-
102 - 2020-01-13545Barracuda-Monsters-
105 - 2020-01-16560Reigh-Barracuda-
109 - 2020-01-20580Barracuda-Rampages-
110 - 2020-01-21587Heat-Barracuda-
113 - 2020-01-24606Moose-Barracuda-
117 - 2020-01-28619Barracuda-Admirals-
119 - 2020-01-30629Condors-Barracuda-
121 - 2020-02-01641Barracuda-Admirals-
122 - 2020-02-02652Barracuda-Rampages-
123 - 2020-02-03659Marlies-Barracuda-
126 - 2020-02-06677Condors-Barracuda-
129 - 2020-02-09689Barracuda-Bruins-
131 - 2020-02-11702Senateurs-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-13710Barracuda-Heat-
135 - 2020-02-15722Barracuda-Bears-
136 - 2020-02-16729Reigh-Barracuda-
139 - 2020-02-19742Barracuda-Reigh-
142 - 2020-02-22752Icedogs-Barracuda-
144 - 2020-02-24764Barracuda-Wolves-
146 - 2020-02-26776Barracuda-Crunch-
147 - 2020-02-27782Stars-Barracuda-
151 - 2020-03-02800Barracuda-Icedogs-
152 - 2020-03-03807Monsters-Barracuda-
156 - 2020-03-07826Devils-Barracuda-
158 - 2020-03-09836Barracuda-Sound Tigers-
161 - 2020-03-12848Admirals-Barracuda-
165 - 2020-03-16864Barracuda-Reigh-
167 - 2020-03-18873Moose-Barracuda-
169 - 2020-03-20885Barracuda-Gulls-
170 - 2020-03-21894Barracuda-Icedogs-
171 - 2020-03-22903Bears-Barracuda-
175 - 2020-03-26922Barracuda-Senateurs-
176 - 2020-03-27928Stars-Barracuda-
178 - 2020-03-29935Barracuda-Sound Tigers-
180 - 2020-03-31944Barracuda-Gulls-
184 - 2020-04-04960Rampages-Barracuda-
190 - 2020-04-10984Rampages-Barracuda-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
90,000$ 645,917$ 645,917$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 50,730$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 6,000$ 1,056,000$




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
3705002002452-28301002001223-11404000001229-17224436700191401362455570186617486351234.29%381852.63%14410940.37%419045.56%6615243.42%138751616812255
Total Saison Régulière705002002452-28301002001223-11404000001229-17224436700191401362455570186617486351234.29%381852.63%14410940.37%419045.56%6615243.42%138751616812255