Barracuda

GP: 62 | W: 23 | L: 35 | OTL: 4 | P: 50
GF: 252 | GA: 362 | PP%: 38.21% | PK%: 47.04%
DG: Jonathan Limoges | Morale : 42 | Moyenne d'Équipe : 64
Prochain matchs #764 vs Phantoms
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Jake VirtanenX100.007743747982789275595261696955558862680
2Michael Dal ColleX100.006042736179629357515856605750508862600
3Martin NecasX100.005540796763683060504050606050508766570
4Duncan SiemensX100.006346716981558571304455775751538266670
5Travis DermottX100.006644797974668381306852636051517766670
6Joe HickettsX100.005443715057529753305452755250504466610
7Griffin ReinhartX100.006543725083478953305551605151518662590
Rayé
MOYENNE D'ÉQUIPE100.00634374657461816440535466585151796463
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 Wedgewood100.00727789817978807777687452626162730
Rayé
MOYENNE D'ÉQUIPE100.0072778981797880777768745262616273
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight72688787756076USA471500,000$


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'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
Duncan SiemensBarracuda (SJ.)D241993-09-07No210 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm784,166$0$0$NoLien
Griffin ReinhartBarracuda (SJ.)D231994-01-24No212 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Jake VirtanenBarracuda (SJ.)RW211996-08-17No229 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm1,250,000$0$0$NoLien
Joe HickettsBarracuda (SJ.)D211996-05-04No180 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Martin NecasBarracuda (SJ.)C181999-01-15No167 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Michael Dal ColleBarracuda (SJ.)LW211996-06-20No204 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Scott WedgewoodBarracuda (SJ.)G251992-08-14No195 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Travis DermottBarracuda (SJ.)D201996-12-22No208 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm863,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
821.63201 Lbs6 ft11.50898,229$



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
1Admirals413000001527-1221100000810-220200000717-1020.250152742002810211761022895125611814638286519631.58%14935.71%237888742.62%428105440.61%572135342.28%126675414685691004467
2Bears3100200015105110000006332000200097261.0001528430028102117678289512561185517264612541.67%13469.23%237888742.62%428105440.61%572135342.28%126675414685691004467
3Blacknight312000001215-31100000042220200000813-520.3331221330028102117658289512561187317163512650.00%8450.00%037888742.62%428105440.61%572135342.28%126675414685691004467
4Bruins211000006601010000024-21100000042220.50061117002810211763728951256118551922304250.00%11281.82%037888742.62%428105440.61%572135342.28%126675414685691004467
5Condors403001001122-11302001001015-51010000017-610.12511223300281021176962895125611812939265315426.67%13746.15%137888742.62%428105440.61%572135342.28%126675414685691004467
6Crunch11000000624000000000001100000062421.00061016002810211762428951256118204101433100.00%5180.00%037888742.62%428105440.61%572135342.28%126675414685691004467
7Devils202000001018-810100000410-61010000068-200.0001020300028102117652289512561181043030289555.56%161037.50%037888742.62%428105440.61%572135342.28%126675414685691004467
8Gulls522010002133-12320010001711620200000422-1860.600213960002810211761152895125611814760466717847.06%231439.13%237888742.62%428105440.61%572135342.28%126675414685691004467
9Heat605001001638-2230300000819-1130200100819-1110.083163147002810211761262895125611818960667425728.00%321746.88%037888742.62%428105440.61%572135342.28%126675414685691004467
10Icedogs312000001220-820200000516-111100000074320.3331224360028102117647289512561188929282913215.38%14564.29%137888742.62%428105440.61%572135342.28%126675414685691004467
11Marlies20200000615-91010000047-31010000028-600.00061218002810211764228951256118794220286233.33%11827.27%037888742.62%428105440.61%572135342.28%126675414685691004467
12Monsters2100010011831000010045-11100000073430.750112132002810211763128951256118491261510660.00%30100.00%037888742.62%428105440.61%572135342.28%126675414685691004467
13Penguins1010000056-11010000056-10000000000000.000591400281021176142895125611843128154375.00%4175.00%137888742.62%428105440.61%572135342.28%126675414685691004467
14Phantoms1000000178-11000000178-10000000000010.500713200028102117625289512561185416141244100.00%7528.57%137888742.62%428105440.61%572135342.28%126675414685691004467
15Rampages505000001349-3630300000823-1520200000526-2100.000132639002810211761152895125611820776767515426.67%372824.32%037888742.62%428105440.61%572135342.28%126675414685691004467
16Reigh53200000292722110000013121321000001615160.600295079002810211761082895125611814354445117847.06%221150.00%237888742.62%428105440.61%572135342.28%126675414685691004467
17Rocket2200000015123110000007611100000086241.0001525400028102117640289512561185525263316637.50%13561.54%037888742.62%428105440.61%572135342.28%126675414685691004467
18Senateurs1010000012-11010000012-10000000000000.000123002810211762028951256118502088300.00%4250.00%037888742.62%428105440.61%572135342.28%126675414685691004467
19Sound Tigers22000000972110000004311100000054141.000917260028102117648289512561185916142113538.46%7357.14%137888742.62%428105440.61%572135342.28%126675414685691004467
20Stars20200000816-80000000000020200000816-800.00081523002810211765528951256118974220278337.50%10100.00%037888742.62%428105440.61%572135342.28%126675414685691004467
21Thunderbird21001000743100010003211100000042241.00071219002810211764928951256118501810259111.11%50100.00%037888742.62%428105440.61%572135342.28%126675414685691004467
Total62183505301252362-1103291703201130170-403091802100122192-70500.4032524657170028102117613772895125611819986845748052469438.21%28715247.04%1337888742.62%428105440.61%572135342.28%126675414685691004467
23Wolves412010001717021001000106420200000711-440.50017304700281021176952895125611810538305412433.33%15660.00%037888742.62%428105440.61%572135342.28%126675414685691004467
_Since Last GM Reset62183505301252362-1103291703201130170-403091802100122192-70500.4032524657170028102117613772895125611819986845748052469438.21%28715247.04%1337888742.62%428105440.61%572135342.28%126675414685691004467
_Vs Conference4192802200154264-110216120210083114-31203160010071150-79240.293154285439002810211769172895125611813254533805301535233.99%18811140.96%837888742.62%428105440.61%572135342.28%126675414685691004467
_Vs Division236140120089135-461246011005259-71128001003776-39160.348891632520028102117650328951256118681230198280863338.37%985345.92%537888742.62%428105440.61%572135342.28%126675414685691004467

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6250L42524657171377199868457480500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6218355301252362
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
329173201130170
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
309182100122192
Derniers 10 Matchs
WLOTWOTL SOWSOL
262000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2469438.21%28715247.04%13
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
28951256118281021176
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
37888742.62%428105440.61%572135342.28%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
126675414685691004467


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 - 2018-10-093Barracuda1Condors7LSommaire du Match
3 - 2018-10-1113Barracuda4Blacknight7LSommaire du Match
6 - 2018-10-1424Gulls4Barracuda5WXSommaire du Match
11 - 2018-10-1939Barracuda4Reigh7LSommaire du Match
15 - 2018-10-2348Condors4Barracuda3LXSommaire du Match
18 - 2018-10-2658Barracuda1Gulls12LSommaire du Match
19 - 2018-10-2766Heat10Barracuda2LSommaire du Match
24 - 2018-11-0188Reigh7Barracuda9WSommaire du Match
26 - 2018-11-03101Barracuda4Wolves6LSommaire du Match
28 - 2018-11-05110Rampages9Barracuda3LSommaire du Match
30 - 2018-11-07121Barracuda1Heat8LSommaire du Match
33 - 2018-11-10136Blacknight2Barracuda4WSommaire du Match
35 - 2018-11-12148Barracuda8Reigh5WSommaire du Match
38 - 2018-11-15160Reigh5Barracuda4LSommaire du Match
40 - 2018-11-17170Barracuda6Stars11LSommaire du Match
42 - 2018-11-19180Barracuda3Bears2WXSommaire du Match
44 - 2018-11-21186Icedogs11Barracuda4LSommaire du Match
46 - 2018-11-23192Barracuda4Blacknight6LSommaire du Match
48 - 2018-11-25200Barracuda4Thunderbird2WSommaire du Match
50 - 2018-11-27209Barracuda8Rocket6WSommaire du Match
52 - 2018-11-29216Gulls3Barracuda6WSommaire du Match
59 - 2018-12-06240Marlies7Barracuda4LSommaire du Match
62 - 2018-12-09254Barracuda4Bruins2WSommaire du Match
65 - 2018-12-12262Rocket6Barracuda7WSommaire du Match
69 - 2018-12-16281Devils10Barracuda4LSommaire du Match
71 - 2018-12-18289Barracuda4Heat5LXSommaire du Match
75 - 2018-12-22308Bears3Barracuda6WSommaire du Match
80 - 2018-12-27329Bruins4Barracuda2LSommaire du Match
83 - 2018-12-30344Barracuda2Marlies8LSommaire du Match
84 - 2018-12-31351Heat3Barracuda1LSommaire du Match
88 - 2019-01-04367Barracuda5Sound Tigers4WSommaire du Match
89 - 2019-01-05375Thunderbird2Barracuda3WXSommaire du Match
92 - 2019-01-08388Barracuda5Admirals7LSommaire du Match
94 - 2019-01-10394Barracuda3Gulls10LSommaire du Match
96 - 2019-01-12402Phantoms8Barracuda7LXXSommaire du Match
99 - 2019-01-15418Barracuda7Icedogs4WSommaire du Match
101 - 2019-01-17425Rampages6Barracuda3LSommaire du Match
106 - 2019-01-22445Admirals5Barracuda6WSommaire du Match
108 - 2019-01-24454Barracuda0Rampages8LSommaire du Match
111 - 2019-01-27469Barracuda2Stars5LSommaire du Match
112 - 2019-01-28473Penguins6Barracuda5LSommaire du Match
116 - 2019-02-01489Barracuda3Heat6LSommaire du Match
118 - 2019-02-03498Monsters5Barracuda4LXSommaire du Match
124 - 2019-02-09518Rampages8Barracuda2LSommaire du Match
128 - 2019-02-13529Barracuda6Crunch2WSommaire du Match
130 - 2019-02-15542Heat6Barracuda5LSommaire du Match
133 - 2019-02-18560Barracuda2Admirals10LSommaire du Match
134 - 2019-02-19567Sound Tigers3Barracuda4WSommaire du Match
140 - 2019-02-25588Admirals5Barracuda2LSommaire du Match
144 - 2019-03-01605Barracuda4Reigh3WSommaire du Match
145 - 2019-03-02611Wolves3Barracuda6WSommaire du Match
148 - 2019-03-05624Barracuda6Devils8LSommaire du Match
149 - 2019-03-06633Wolves3Barracuda4WXSommaire du Match
154 - 2019-03-11656Senateurs2Barracuda1LSommaire du Match
156 - 2019-03-13666Barracuda5Rampages18LSommaire du Match
158 - 2019-03-15677Gulls4Barracuda6WSommaire du Match
162 - 2019-03-19689Barracuda6Bears5WXSommaire du Match
164 - 2019-03-21702Barracuda7Monsters3WSommaire du Match
165 - 2019-03-22708Icedogs5Barracuda1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
169 - 2019-03-26723Barracuda3Wolves5LSommaire du Match
171 - 2019-03-28731Condors6Barracuda3LSommaire du Match
177 - 2019-04-03752Condors5Barracuda4LSommaire du Match
181 - 2019-04-07764Barracuda-Phantoms-
183 - 2019-04-09774Blacknight-Barracuda-
185 - 2019-04-11781Barracuda-Penguins-
188 - 2019-04-14797Moose-Barracuda-
192 - 2019-04-18811Barracuda-Senateurs-
195 - 2019-04-21823Blacknight-Barracuda-
197 - 2019-04-23832Barracuda-Senateurs-
199 - 2019-04-25837Barracuda-Gulls-
201 - 2019-04-27847Reigh-Barracuda-
202 - 2019-04-28852Barracuda-Condors-
207 - 2019-05-03873Moose-Barracuda-
209 - 2019-05-05878Barracuda-Moose-
214 - 2019-05-10898Senateurs-Barracuda-
215 - 2019-05-11906Barracuda-Icedogs-
219 - 2019-05-15921Stars-Barracuda-
221 - 2019-05-17932Barracuda-Condors-
224 - 2019-05-20943Barracuda-Blacknight-
226 - 2019-05-22951Crunch-Barracuda-
232 - 2019-05-28966Barracuda-Moose-
235 - 2019-05-31981Stars-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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,042,802$ 718,583$ 718,583$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 663,002$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 5,142$ 293,094$




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
262183505301252362-1103291703201130170-403091802100122192-70502524657170028102117613772895125611819986845748052469438.21%28715247.04%1337888742.62%428105440.61%572135342.28%126675414685691004467
Total Saison Régulière62183505301252362-1103291703201130170-403091802100122192-70502524657170028102117613772895125611819986845748052469438.21%28715247.04%1337888742.62%428105440.61%572135342.28%126675414685691004467