Barracuda

GP: 32 | W: 13 | L: 17 | OTL: 2 | P: 28
GF: 130 | GA: 188 | PP%: 40.00% | PK%: 49.35%
DG: Jonathan Limoges | Morale : 47 | Moyenne d'Équipe : 65
Prochain matchs #388 vs Admirals
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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
1Jake VirtanenX100.007743747982789275595261696955558855680
2Vinni LettieriX100.006343756368729962675964586551514455670
3Michael Dal ColleX100.006042736179629357515856605750508855600
4Martin NecasX100.005540796763683060504050606050508758570
5Chris WidemanX100.006541838262714578306565687256555158670
6Duncan SiemensX100.006346716981558571304455775751538258670
7Travis DermottX100.006644797974668381306852636051517758670
8Joe HickettsX100.005443715057529753305452755250504458610
9Griffin ReinhartX100.006543725083478953305551605151518655590
Rayé
MOYENNE D'ÉQUIPE100.00634375677263796642555666605252725764
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 Wedgewood100.00727789817978807777687452626155730
Rayé
MOYENNE D'ÉQUIPE100.0072778981797880777768745262615573
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 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
Chris WidemanBarracuda (SJ.)D271990-01-07No183 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Duncan SiemensBarracuda (SJ.)D241993-09-07No210 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm784,166$0$0$No784,166$Lien
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$0$No1,250,000$Lien
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$0$No925,000$Lien
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$0$No863,333$Lien
Vinni LettieriBarracuda (SJ.)C221995-02-06No195 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1022.20198 Lbs6 ft11.40911,083$



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
1Bears21001000954110000006331000100032141.00091726001453603491452632785373163110550.00%8362.50%119446441.81%22452742.50%31170644.05%670402744286515242
2Blacknight312000001215-31100000042220200000813-520.3331221330014536035814526327857317163512650.00%8450.00%019446441.81%22452742.50%31170644.05%670402744286515242
3Bruins211000006601010000024-21100000042220.50061117001453603371452632785551922304250.00%11281.82%019446441.81%22452742.50%31170644.05%670402744286515242
4Condors20100100411-71000010034-11010000017-610.25048120014536033714526327855716123210330.00%6350.00%019446441.81%22452742.50%31170644.05%670402744286515242
5Devils10100000410-610100000410-60000000000000.0004812001453603231452632785471616177342.86%8625.00%019446441.81%22452742.50%31170644.05%670402744286515242
6Gulls311010001219-721001000117410100000112-1140.66712233500145360373145263278510143304810550.00%15846.67%119446441.81%22452742.50%31170644.05%670402744286515242
7Heat40300100826-1820200000313-1020100100513-810.1258162400145360381145263278514042524616425.00%251444.00%019446441.81%22452742.50%31170644.05%670402744286515242
8Icedogs10100000411-710100000411-70000000000000.00048120014536031714526327853214810200.00%4250.00%119446441.81%22452742.50%31170644.05%670402744286515242
9Marlies20200000615-91010000047-31010000028-600.00061218001453603421452632785794220286233.33%11827.27%019446441.81%22452742.50%31170644.05%670402744286515242
10Rampages1010000039-61010000039-60000000000000.000369001453603221452632785421114133133.33%7357.14%019446441.81%22452742.50%31170644.05%670402744286515242
11Reigh42200000252412110000013121211000001212040.50025436800145360390145263278510942344013753.85%17947.06%219446441.81%22452742.50%31170644.05%670402744286515242
12Rocket2200000015123110000007611100000086241.0001525400014536034014526327855525263316637.50%13561.54%019446441.81%22452742.50%31170644.05%670402744286515242
13Sound Tigers11000000541000000000001100000054121.0005914001453603221452632785321110116466.67%5340.00%019446441.81%22452742.50%31170644.05%670402744286515242
14Stars10100000611-50000000000010100000611-500.00061218001453603311452632785512114154250.00%770.00%019446441.81%22452742.50%31170644.05%670402744286515242
15Thunderbird21001000743100010003211100000042241.00071219001453603491452632785501810259111.11%50100.00%019446441.81%22452742.50%31170644.05%670402744286515242
Total32101703200130188-581658021006790-231659011006398-35280.43813023836800145360369114526327859933533084241305240.00%1547849.35%519446441.81%22452742.50%31170644.05%670402744286515242
17Wolves1010000046-2000000000001010000046-200.000471100145360320145263278533138102150.00%4175.00%019446441.81%22452742.50%31170644.05%670402744286515242
_Since Last GM Reset32101703200130188-581658021006790-231659011006398-35280.43813023836800145360369114526327859933533084241305240.00%1547849.35%519446441.81%22452742.50%31170644.05%670402744286515242
_Vs Conference204130120078132-541035011004158-171018001003774-37120.300781442220014536034291452632785638219188249722940.28%935145.16%419446441.81%22452742.50%31170644.05%670402744286515242
_Vs Division1649012006195-34833011003438-4816001002757-30120.375611111720014536033391452632785480160144201612540.98%713846.48%319446441.81%22452742.50%31170644.05%670402744286515242

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3228OTW113023836869199335330842400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3210173200130188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
165821006790
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
165911006398
Derniers 10 Matchs
WLOTWOTL SOWSOL
441100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1305240.00%1547849.35%5
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
14526327851453603
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
19446441.81%22452742.50%31170644.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
670402744286515242


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 - 2019-01-08388Barracuda-Admirals-
94 - 2019-01-10394Barracuda-Gulls-
96 - 2019-01-12402Phantoms-Barracuda-
99 - 2019-01-15418Barracuda-Icedogs-
101 - 2019-01-17425Rampages-Barracuda-
106 - 2019-01-22445Admirals-Barracuda-
108 - 2019-01-24454Barracuda-Rampages-
111 - 2019-01-27469Barracuda-Stars-
112 - 2019-01-28473Penguins-Barracuda-
116 - 2019-02-01489Barracuda-Heat-
118 - 2019-02-03498Monsters-Barracuda-
124 - 2019-02-09518Rampages-Barracuda-
128 - 2019-02-13529Barracuda-Crunch-
130 - 2019-02-15542Heat-Barracuda-
133 - 2019-02-18560Barracuda-Admirals-
134 - 2019-02-19567Sound Tigers-Barracuda-
140 - 2019-02-25588Admirals-Barracuda-
144 - 2019-03-01605Barracuda-Reigh-
145 - 2019-03-02611Wolves-Barracuda-
148 - 2019-03-05624Barracuda-Devils-
149 - 2019-03-06633Wolves-Barracuda-
154 - 2019-03-11656Senateurs-Barracuda-
156 - 2019-03-13666Barracuda-Rampages-
158 - 2019-03-15677Gulls-Barracuda-
162 - 2019-03-19689Barracuda-Bears-
164 - 2019-03-21702Barracuda-Monsters-
165 - 2019-03-22708Icedogs-Barracuda-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
169 - 2019-03-26723Barracuda-Wolves-
171 - 2019-03-28731Condors-Barracuda-
177 - 2019-04-03752Condors-Barracuda-
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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
535,860$ 911,083$ 911,083$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 345,960$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 147 5,954$ 875,238$




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
232101703200130188-581658021006790-231659011006398-352813023836800145360369114526327859933533084241305240.00%1547849.35%519446441.81%22452742.50%31170644.05%670402744286515242
Total Saison Régulière32101703200130188-581658021006790-231659011006398-352813023836800145360369114526327859933533084241305240.00%1547849.35%519446441.81%22452742.50%31170644.05%670402744286515242