Barracuda

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 19 | GA: 7 | PP%: 20.69% | PK%: 85.00%
DG: Jean-Sebastien Champagne | Morale : 56 | Moyenne d'Équipe : N/A
Prochain matchs #92 vs Heat
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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
1Adam ErneXX100.0072557055717070675061626655707015700
2Christopher DidomenicoX100.0073558080657070696067706555727715700
3Chris NeilX100.0091556770818054605056575555717215700
4Filip Chytil (R)X100.0068557472656068606060606055657115400
5Colby CaveX100.0065556767736573606156576055757115700
6Lawson CrouseX100.0089557380797575705960616155706715700
7Henrik Haapala (R)X100.0064557771606060625060606055555515700
8Gabriel DumontX100.0059556770666257656855566555737115700
9Sean KuralyX100.0090557876807778737964667555605915700
10Jayson MegnaX100.0060555974767067615060606055575815700
11Dale WeiseX100.0090557474858572695064667055858415700
12Michael Bournival (A)X100.0060555972696662615060606055575815700
13Scott WilsonX100.0096557573877274736466697655565715700
14Ty RattieX100.0066558180667278755065676155727215700
15Alex GrantX100.0060556368666579602560605855535315700
16Anthony BitettoX100.0077557273807359702561617155707015700
17Jaycob MegnaX100.0068557474747875692561606855707015700
18Joe MorrowX100.0085558173787474842568627655707015700
19Tim HeedX100.0066558769587966852566667055707015400
20Ryan MurphyX100.0066557483608559722564667555777615700
Rayé
1Francis BeauvillierX100.0073557955725966555055556055777614600
2Christian ThomasX100.0056555555575858555055555555737114600
3Jakob Forsbacka Karlsson (R)X100.0073557755716169555055555555505014300
4Emerson EtemX100.0055555555555555555055555555727514600
5Ryan CraigX100.0060557867797376555055555555626314600
6Graham Knott (R)X100.0056555555565757555055555555755014600
7Jeremy Bracco (R)X100.0056555555555656555055555555505014600
8Brady Vail (R)X100.0061556764676365555055555855727114600
9Petr StrakaX100.0074556565686668555055555555505014600
10Caleb HerbertX100.0060555964736454555055555655727314600
11Zack MitchellX100.0059556370686454677155556155505014600
12Korbinian HolzerX100.0055555560555568552555555555747414300
13Joey LaLeggiaX100.0055555560555569552555555555555514600
14Dylan McIlrathX100.0059555961595959592559595955737114600
15Eric GelinasX100.0055555760575759572557575755646414600
16Bryce Aneloski (R)X100.0055555560555563552555555555535314600
MOYENNE D'ÉQUIPE100.006755686768676663465959615566651520
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
1Nick Ellis100.007174797370707165707055686615700
2Laurent Brossoit100.006473798067677066696955706915700
Rayé
1Jon Gillies100.006470678668686764686755646514600
2Matt Hackett100.005566606863636463626455606314600
MOYENNE D'ÉQUIPE100.00647171776767686567685566661520
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher67697387796378CAN465100,000$


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
1Ryan MurphyBarracuda (San)D427970073921022.22%510526.39011519000014000.00%000001.7100000110
2Sean KuralyBarracuda (San)RW453858076254920.00%27518.772131020000071075.00%800002.1300000201
3Christopher DidomenicoBarracuda (San)C41344003475514.29%18822.01011319000061063.64%1100000.9100000010
4Dale WeiseBarracuda (San)RW41344401811104910.00%09924.771123200000151069.57%13800000.8100000001
5Scott WilsonBarracuda (San)C44042801781651225.00%27919.82202619000000167.44%8600001.0100000110
6Ty RattieBarracuda (San)RW41342000816476.25%07919.8402261900000000.00%000001.0100000001
7Lawson CrouseBarracuda (San)LW41235609311349.09%09924.920002160000100063.64%1100000.6000000000
8Jayson MegnaBarracuda (San)LW41234000281512.50%04912.4500000000000060.00%1000001.2000000000
9Joe MorrowBarracuda (San)D412312063126108.33%19223.01101921000013000.00%000000.6500000000
10Adam ErneBarracuda (San)LW/RW41120002041525.00%05112.88011060000140050.00%400000.7800000000
11Anthony BitettoBarracuda (San)D4022240210000.00%24411.200000100002000.00%000000.8900000000
12Chris NeilBarracuda (San)RW411228010431133.33%04611.5800001000001061.29%3100000.8600000010
13Jaycob MegnaBarracuda (San)D4022100611050.00%110526.34022119000012000.00%000000.3800000000
14Tim HeedBarracuda (San)D4022-12152011750.00%46416.200221017000013000.00%000000.6200001000
15Alex GrantBarracuda (San)D4011800931000.00%36416.010000300006000.00%000000.3100000000
16Filip ChytilBarracuda (San)C4000000002000.00%041.070001100000000.00%000000.0000000000
17Colby CaveBarracuda (San)C4000000000010.00%010.360000000000000.00%000000.0000000000
18Henrik HaapalaBarracuda (San)LW4000000100000.00%061.580000000004000.00%000000.0000000000
19Gabriel DumontBarracuda (San)C4000000000000.00%000.140000000000000.00%000000.0000000000
20Michael BournivalBarracuda (San)LW4000000000000.00%000.020000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne80193453466159957136438813.97%21115714.47611175621100001234167.22%29900000.9200001443
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
1Nick EllisBarracuda (San)44000.9011.75240017710000.000040000
Stats d'équipe Total ou en Moyenne44000.9011.75240017710000.000040000


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam ErneBarracuda (San)LW/RW211995-04-20No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Alex GrantBarracuda (San)D271989-01-19No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Anthony BitettoBarracuda (San)D261990-07-14No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brady VailBarracuda (San)C221994-03-11Yes185 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Bryce AneloskiBarracuda (San)D261990-04-27Yes198 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Caleb HerbertBarracuda (San)C251991-10-12No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Chris NeilBarracuda (San)RW371979-06-18No215 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Christian ThomasBarracuda (San)LW241992-05-26No176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Christopher DidomenicoBarracuda (San)C271989-02-20No174 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Colby CaveBarracuda (San)C221994-12-26No189 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Dale WeiseBarracuda (San)RW281988-08-05No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$No
Dylan McIlrathBarracuda (San)D241992-04-20No220 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Emerson EtemBarracuda (San)RW241992-06-16No212 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Eric GelinasBarracuda (San)D251991-05-08No215 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Filip ChytilBarracuda (San)C171999-09-05Yes179 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm0$0$No
Francis BeauvillierBarracuda (San)RW231993-10-22No181 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Gabriel DumontBarracuda (San)C261990-10-06No184 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Graham KnottBarracuda (San)LW201997-01-13Yes194 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Henrik HaapalaBarracuda (San)LW221994-02-28Yes165 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jakob Forsbacka KarlssonBarracuda (San)C201996-10-31Yes183 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Jaycob MegnaBarracuda (San)D241992-12-10No218 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Jayson MegnaBarracuda (San)LW261990-02-01No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jeremy BraccoBarracuda (San)RW191997-03-17Yes181 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joe MorrowBarracuda (San)D241992-12-09No204 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Joey LaLeggiaBarracuda (San)D241992-06-24No183 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Jon GilliesBarracuda (San)G221994-01-22No216 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Korbinian HolzerBarracuda (San)D281988-02-16No205 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Laurent BrossoitBarracuda (San)G231993-03-23No202 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Lawson CrouseBarracuda (San)LW191997-06-23No210 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Matt HackettBarracuda (San)G261990-03-06No171 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Michael BournivalBarracuda (San)LW241992-05-30No195 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Nick EllisBarracuda (San)G221994-01-17No180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Petr StrakaBarracuda (San)RW241992-06-14No185 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ryan CraigBarracuda (San)C351982-01-05No215 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Ryan MurphyBarracuda (San)D231993-03-30No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Scott WilsonBarracuda (San)C241992-04-23No183 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Sean KuralyBarracuda (San)RW231993-01-20No205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Tim HeedBarracuda (San)D251991-01-27No176 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Ty RattieBarracuda (San)RW231993-02-04No178 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$0$0$No
Zack MitchellBarracuda (San)RW241993-01-06No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4024.20194 Lbs6 ft12.23449,125$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseSean Kuraly40122
2Christopher DidomenicoScott WilsonTy Rattie30122
3Dale WeiseLawson CrouseAdam Erne20122
4Jayson MegnaChris NeilLawson Crouse10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowJaycob Megna40122
2Ryan MurphyAlex Grant30122
3Anthony BitettoRyan Murphy20122
4Tim HeedJaycob Megna10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Lawson CrouseDale WeiseSean Kuraly60122
2Christopher DidomenicoScott WilsonTy Rattie40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowJaycob Megna60122
2Tim HeedRyan Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dale WeiseLawson Crouse60122
2Sean KuralyAdam Erne40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowJaycob Megna60122
2Ryan MurphyTim Heed40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dale Weise60122Anthony BitettoJaycob Megna60122
2Lawson Crouse40122Ryan MurphyTim Heed40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dale WeiseLawson Crouse60122
2Sean KuralyChris Neil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joe MorrowJaycob Megna60122
2Tim HeedRyan Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseJoe MorrowJaycob Megna
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lawson CrouseSean KuralyDale WeiseJoe MorrowJaycob Megna
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawson Crouse, Dale Weise, Jayson MegnaLawson Crouse, Dale WeiseLawson Crouse
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jaycob Megna, Ryan Murphy, Tim HeedRyan MurphyRyan Murphy, Tim Heed
Tirs de Pénalité
Dale Weise, Lawson Crouse, Jayson Megna, Scott Wilson, Sean Kuraly
Gardien
#1 : Nick Ellis, #2 : Laurent Brossoit


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
1Condors22000000936110000005321100000040441.000917260186506538475103212434715213.33%13192.31%09613969.06%579063.33%487068.57%1299664234528
2Heat11000000431000000000001100000043121.000471100865042384751023382712325.00%4250.00%09613969.06%579063.33%487068.57%1299664234528
3Reign11000000615110000006150000000000021.0006101600865029384751016610252150.00%30100.00%09613969.06%579063.33%487068.57%1299664234528
Total44000000197122200000011472200000083581.00019345301865013638475107121619929620.69%20385.00%09613969.06%579063.33%487068.57%1299664234528
_Since Last GM Reset44000000197122200000011472200000083581.00019345301865013638475107121619929620.69%20385.00%09613969.06%579063.33%487068.57%1299664234528
_Vs Conference11000000615110000006150000000000021.0006101600865029384751016610252150.00%30100.00%09613969.06%579063.33%487068.57%1299664234528

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
48W41934531367121619901
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4400000197
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000114
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
220000083
Derniers 10 Matchs
WLOTWOTL SOWSOL
400000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29620.69%20385.00%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
38475108650
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
9613969.06%579063.33%487068.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1299664234528


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
3 - 2018-09-079Reign1Barracuda6WSommaire du Match
4 - 2018-09-0822Barracuda4Condors0WSommaire du Match
8 - 2018-09-1231Condors3Barracuda5WSommaire du Match
11 - 2018-09-1556Barracuda4Heat3WSommaire du Match
18 - 2018-09-2292Barracuda-Heat-
19 - 2018-09-2399Heat-Barracuda-
24 - 2018-09-28115Barracuda-Rampage-
25 - 2018-09-29127Barracuda-Stars-
31 - 2018-10-05152Rampage-Barracuda-
34 - 2018-10-08172Heat-Barracuda-
38 - 2018-10-12189Barracuda-Roadrunners-
39 - 2018-10-13203Barracuda-Roadrunners-
46 - 2018-10-20235Roadrunners-Barracuda-
47 - 2018-10-21252Eagles-Barracuda-
52 - 2018-10-26274Barracuda-Eagles-
53 - 2018-10-27288Barracuda-Eagles-
56 - 2018-10-30299Heat-Barracuda-
60 - 2018-11-03329Barracuda-Heat-
62 - 2018-11-05339Gulls-Barracuda-
67 - 2018-11-10376Barracuda-Condors-
68 - 2018-11-11380Condors-Barracuda-
74 - 2018-11-17414Barracuda-Gulls-
75 - 2018-11-18421Barracuda-Reign-
78 - 2018-11-21432Barracuda-Gulls-
80 - 2018-11-23448Roadrunners-Barracuda-
81 - 2018-11-24462Roadrunners-Barracuda-
86 - 2018-11-29470Eagles-Barracuda-
89 - 2018-12-02503Gulls-Barracuda-
90 - 2018-12-03509Barracuda-Heat-
94 - 2018-12-07529Barracuda-Gulls-
95 - 2018-12-08542Barracuda-Reign-
99 - 2018-12-12558Reign-Barracuda-
101 - 2018-12-14573Reign-Barracuda-
103 - 2018-12-16591Heat-Barracuda-
108 - 2018-12-21614Stars-Barracuda-
111 - 2018-12-24643Condors-Barracuda-
115 - 2018-12-28657Barracuda-Griffins-
116 - 2018-12-29677Barracuda-Griffins-
122 - 2019-01-04696Barracuda-Heat-
123 - 2019-01-05698Heat-Barracuda-
126 - 2019-01-08715Wild-Barracuda-
129 - 2019-01-11732Barracuda-Condors-
131 - 2019-01-13756Barracuda-Reign-
133 - 2019-01-15761Roadrunners-Barracuda-
137 - 2019-01-19779Gulls-Barracuda-
138 - 2019-01-20802Gulls-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24815Barracuda-Wild-
143 - 2019-01-25826Barracuda-Wild-
145 - 2019-01-27845Barracuda-Heat-
147 - 2019-01-29849Wild-Barracuda-
150 - 2019-02-01866Barracuda-Reign-
151 - 2019-02-02881Barracuda-Condors-
155 - 2019-02-06895Condors-Barracuda-
158 - 2019-02-09920Condors-Barracuda-
159 - 2019-02-10930Heat-Barracuda-
165 - 2019-02-16954Eagles-Barracuda-
166 - 2019-02-17971Eagles-Barracuda-
172 - 2019-02-231007Barracuda-Roadrunners-
173 - 2019-02-241014Barracuda-Roadrunners-
176 - 2019-02-271026Barracuda-Gulls-
178 - 2019-03-011037Reign-Barracuda-
179 - 2019-03-021051Barracuda-Condors-
183 - 2019-03-061071Gulls-Barracuda-
185 - 2019-03-081081Griffins-Barracuda-
186 - 2019-03-091085Griffins-Barracuda-
190 - 2019-03-131112Barracuda-Gulls-
192 - 2019-03-151125Barracuda-Eagles-
193 - 2019-03-161139Barracuda-Eagles-



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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
18,733$ 179,650$ 94,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 12,038$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 1,441$ 260,821$




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
13440000001971222000000114722000000835819345301865013638475107121619929620.69%20385.00%09613969.06%579063.33%487068.57%1299664234528
Total Saison Régulière440000001971222000000114722000000835819345301865013638475107121619929620.69%20385.00%09613969.06%579063.33%487068.57%1299664234528
Séries
1262400000614-83120000036-33120000038-546111701131110243212810159491201474349.30%47589.36%08319143.46%8321039.52%338638.37%14493172528138
1262400000614-83120000036-33120000038-546111701131110243212810159491201474349.30%47589.36%08319143.46%8321039.52%338638.37%14493172528138
Total Séries1248000001228-1662400000612-662400000616-10812223402262220486425620318982402948689.30%941089.36%016638243.46%16642039.52%6617238.37%28918734510516376