Sound Tigers

GP: 62 | W: 38 | L: 23 | OTL: 1 | P: 77
GF: 375 | GA: 352 | PP%: 59.41% | PK%: 50.72%
DG: Jonathan Lecompte | Morale : 60 | Moyenne d'Équipe : 63
Prochain matchs #772 vs Rocket
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
1Frank VatranoX100.006942798865745581834664607554524354660
2Kevin RoyX100.005342797256749964504668626751516076630
3Frederik GauthierX100.007441786191549556685657655951518133620
4Justin BaileyXX100.006143746284697458505560656152517171620
5Xavier OuelletX100.006441837569747072305450716255537079670
6Ian McCoshenX100.007442826483766566304256657451517865640
Rayé
MOYENNE D'ÉQUIPE100.00664279707570766652505965665252676364
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
1Dylan Ferguson100.00655656786530656666666250585028590
Rayé
MOYENNE D'ÉQUIPE100.0065565678653065666666625058502859
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller74857977787072can514350,000$


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
1Frank VatranoSound Tigers (NYI)C50668114715341053683299822920.06%1995419.1036468275110123111527368.22%20559028093.08111101588
2Kevin RoySound Tigers (NYI)LW62588914715420454939113027914.83%39124320.0629528167130224131833449.25%13410652052.360100012106
3Xavier OuelletSound Tigers (NYI)D623382115-1723559793381511469.76%131161326.02284472721760118161430.00%053101021.4300100696
4Justin BaileySound Tigers (NYI)LW/RW6250469612531561512377512221.10%29114318.4427255242126022111107151.56%1283838021.6811021588
5Ian McCoshenSound Tigers (NYI)D56274471-1840062562501109010.80%88142125.39232245481560112135300.00%03280011.0000000256
6Frederik GauthierSound Tigers (NYI)C1471825-97517207327389.59%730321.696142015270000270059.09%1321215001.6500100131
7Derrick PouliotIslandersD2331821-50026266723264.48%3741818.2028101131000130100.00%01224001.0000000011
Stats d'équipe Total ou en Moyenne329244378622-719935323349168561493014.48%350709921.58151211362330759381146801251165.82%24493433380191.7523331414436
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
1Dylan FergusonSound Tigers (NYI)139400.8455.477240066427274600.0000130000
Stats d'équipe Total ou en Moyenne139400.8455.477240066427274600.0000130000


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
Dylan FergusonSound Tigers (NYI)G191998-09-20No189 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Frank VatranoSound Tigers (NYI)C231994-03-14No201 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Frederik GauthierSound Tigers (NYI)C221995-04-26No232 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Ian McCoshenSound Tigers (NYI)D221995-08-05No217 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Justin BaileySound Tigers (NYI)LW/RW221995-07-01No214 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Kevin RoySound Tigers (NYI)LW241993-05-20No170 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm874,125$0$0$NoLien
Xavier OuelletSound Tigers (NYI)D241993-07-29No185 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,250,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
722.29201 Lbs6 ft11.29864,161$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kevin RoyJustin Bailey40122
230122
320122
4Kevin RoyJustin Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet40122
230122
320122
4Xavier Ouellet10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kevin RoyJustin Bailey60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kevin Roy60122
2Justin Bailey40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Xavier Ouellet60122
2Kevin Roy4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kevin Roy60122
2Justin Bailey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin RoyJustin BaileyXavier Ouellet
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin RoyJustin BaileyXavier Ouellet
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Justin Bailey, , Kevin RoyJustin Bailey, Kevin Roy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Xavier Ouellet, , Xavier Ouellet,
Tirs de Pénalité
, Kevin Roy, Justin Bailey, ,
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
1Admirals312000001316-3211000009811010000048-420.333132134006815015361216548518541510537224318738.89%11463.64%0781133058.72%579107653.81%823144956.80%13828461359516990500
2Barracuda2020000079-21010000045-11010000034-100.00071219006815015365965485185415481226277342.86%13561.54%1781133058.72%579107653.81%823144956.80%13828461359516990500
3Bears53200000332853300000025131220200000815-760.6003356890068150153616565485185415135486371241770.83%291065.52%1781133058.72%579107653.81%823144956.80%13828461359516990500
4Blacknight2200000016106110000007431100000096341.000162844006815015367765485185415601820295480.00%10550.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
5Bruins210000101713421000010171340000000000041.00017264300681501536746548518541559192226131292.31%10640.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
6Condors21100000711-4110000004221010000039-620.50071219006815015368365485185415671762411436.36%3233.33%0781133058.72%579107653.81%823144956.80%13828461359516990500
7Crunch412010002133-1220200000519-14210010001614240.500213859006815015361856548518541515968425613753.85%211433.33%0781133058.72%579107653.81%823144956.80%13828461359516990500
8Devils742001004143-2421001001920-1321000002223-190.64341711120068150153627965485185415298939088301756.67%301936.67%0781133058.72%579107653.81%823144956.80%13828461359516990500
9Gulls11000000642110000006420000000000021.0006915006815015363165485185415218695480.00%3166.67%0781133058.72%579107653.81%823144956.80%13828461359516990500
10Heat1010000046-2000000000001010000046-200.000471100681501536446548518541526710145240.00%5260.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
11Icedogs220000001495110000006511100000084441.00014223600681501536876548518541539151023181055.56%5180.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
12Marlies1010000029-7000000000001010000029-700.000235006815015362865485185415401624145120.00%7442.86%0781133058.72%579107653.81%823144956.80%13828461359516990500
13Monsters5410000031229220000001376321000001815380.8003149800068150153616365485185415119335769332163.64%26869.23%1781133058.72%579107653.81%823144956.80%13828461359516990500
14Moose2200000016124110000007521100000097241.0001624400068150153680654851854157920162410770.00%8625.00%2781133058.72%579107653.81%823144956.80%13828461359516990500
15Penguins4310000025187110000001147321000001414060.7502540650068150153616465485185415126373259171270.59%16662.50%0781133058.72%579107653.81%823144956.80%13828461359516990500
16Phantoms6320100039372311010001823-5321000002114780.667396610500681501536258654851854152761036062211571.43%302323.33%1781133058.72%579107653.81%823144956.80%13828461359516990500
17Rampages202000001115-41010000057-21010000068-200.000111829006815015368165485185415601820279444.44%10550.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
18Reigh220000001688110000007341100000095441.0001627430068150153670654851854155222162312758.33%8275.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
19Rocket330000002313101100000095422000000148661.000234164006815015361056548518541589362044201050.00%10370.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
20Senateurs20101000710-320101000710-30000000000020.50078150068150153670654851854151084620318562.50%10460.00%0781133058.72%579107653.81%823144956.80%13828461359516990500
21Stars202000001115-41010000067-11010000058-300.0001118290068150153682654851854157233142512650.00%7614.29%0781133058.72%579107653.81%823144956.80%13828461359516990500
Total62342303110375352233218100211019117120301613010001841813770.62137562299700681501536236965485185415210674260882330318059.41%27813750.72%6781133058.72%579107653.81%823144956.80%13828461359516990500
23Wolves21100000151141010000067-11100000094520.500152641006815015366365485185415683612357571.43%6183.33%0781133058.72%579107653.81%823144956.80%13828461359516990500
_Since Last GM Reset62342303110375352233218100211019117120301613010001841813770.62137562299700681501536236965485185415210674260882330318059.41%27813750.72%6781133058.72%579107653.81%823144956.80%13828461359516990500
_Vs Conference392212031102392261320115021101241141019117010001151123530.67923939863700681501536149165485185415140949943052018411763.59%1899748.68%3781133058.72%579107653.81%823144956.80%13828461359516990500
_Vs Division27178011001691482113920110086671914860000083812370.685169282451006815015361029654851854159543143023491258265.60%1316649.62%3781133058.72%579107653.81%823144956.80%13828461359516990500

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6277W13756229972369210674260882300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6234233110375352
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3218102110191171
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3016131000184181
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
30318059.41%27813750.72%6
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
65485185415681501536
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
781133058.72%579107653.81%823144956.80%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13828461359516990500


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 - 2018-10-1112Sound Tigers3Bears8LSommaire du Match
5 - 2018-10-1319Devils4Sound Tigers7WSommaire du Match
9 - 2018-10-1732Monsters5Sound Tigers9WSommaire du Match
16 - 2018-10-2452Phantoms7Sound Tigers8WXSommaire du Match
20 - 2018-10-2873Bears4Sound Tigers8WSommaire du Match
25 - 2018-11-0295Sound Tigers7Phantoms5WSommaire du Match
26 - 2018-11-0398Penguins4Sound Tigers11WSommaire du Match
29 - 2018-11-06114Sound Tigers4Penguins3WSommaire du Match
30 - 2018-11-07122Devils7Sound Tigers3LSommaire du Match
32 - 2018-11-09133Sound Tigers4Devils10LSommaire du Match
34 - 2018-11-11145Bruins6Sound Tigers9WSommaire du Match
37 - 2018-11-14155Sound Tigers7Monsters4WSommaire du Match
39 - 2018-11-16165Sound Tigers5Phantoms6LSommaire du Match
41 - 2018-11-18174Phantoms4Sound Tigers6WSommaire du Match
47 - 2018-11-24193Bears3Sound Tigers9WSommaire du Match
49 - 2018-11-26206Sound Tigers3Monsters6LSommaire du Match
53 - 2018-11-30219Icedogs5Sound Tigers6WSommaire du Match
57 - 2018-12-04232Sound Tigers5Stars8LSommaire du Match
60 - 2018-12-07242Bruins7Sound Tigers8WXXSommaire du Match
62 - 2018-12-09252Sound Tigers3Penguins5LSommaire du Match
66 - 2018-12-13265Sound Tigers4Heat6LSommaire du Match
68 - 2018-12-15271Sound Tigers4Admirals8LSommaire du Match
69 - 2018-12-16276Moose5Sound Tigers7WSommaire du Match
72 - 2018-12-19293Blacknight4Sound Tigers7WSommaire du Match
74 - 2018-12-21302Sound Tigers8Monsters5WSommaire du Match
78 - 2018-12-25321Wolves7Sound Tigers6LSommaire du Match
81 - 2018-12-28334Sound Tigers6Rampages8LSommaire du Match
83 - 2018-12-30342Rampages7Sound Tigers5LSommaire du Match
86 - 2019-01-02354Sound Tigers9Blacknight6WSommaire du Match
88 - 2019-01-04367Barracuda5Sound Tigers4LSommaire du Match
92 - 2019-01-08387Senateurs7Sound Tigers3LSommaire du Match
96 - 2019-01-12403Sound Tigers7Rocket4WSommaire du Match
98 - 2019-01-14412Monsters2Sound Tigers4WSommaire du Match
102 - 2019-01-18429Sound Tigers7Rocket4WSommaire du Match
105 - 2019-01-21437Devils5Sound Tigers6WSommaire du Match
107 - 2019-01-23448Sound Tigers9Reigh5WSommaire du Match
109 - 2019-01-25460Stars7Sound Tigers6LSommaire du Match
115 - 2019-01-31482Senateurs3Sound Tigers4WXSommaire du Match
118 - 2019-02-03494Sound Tigers8Icedogs4WSommaire du Match
120 - 2019-02-05502Sound Tigers9Phantoms3WSommaire du Match
121 - 2019-02-06508Bears6Sound Tigers8WSommaire du Match
124 - 2019-02-09519Sound Tigers5Bears7LSommaire du Match
128 - 2019-02-13533Admirals4Sound Tigers3LSommaire du Match
130 - 2019-02-15544Sound Tigers9Moose7WSommaire du Match
132 - 2019-02-17556Reigh3Sound Tigers7WSommaire du Match
134 - 2019-02-19567Sound Tigers3Barracuda4LSommaire du Match
137 - 2019-02-22578Sound Tigers2Marlies9LSommaire du Match
139 - 2019-02-24585Gulls4Sound Tigers6WSommaire du Match
141 - 2019-02-26596Sound Tigers7Penguins6WSommaire du Match
143 - 2019-02-28600Sound Tigers8Devils6WSommaire du Match
145 - 2019-03-02610Devils4Sound Tigers3LXSommaire du Match
148 - 2019-03-05625Sound Tigers5Crunch4WXSommaire du Match
150 - 2019-03-07634Admirals4Sound Tigers6WSommaire du Match
152 - 2019-03-09648Sound Tigers10Devils7WSommaire du Match
154 - 2019-03-11658Crunch10Sound Tigers3LSommaire du Match
156 - 2019-03-13671Sound Tigers9Wolves4WSommaire du Match
160 - 2019-03-17681Crunch9Sound Tigers2LSommaire du Match
164 - 2019-03-21701Sound Tigers3Condors9LSommaire du Match
166 - 2019-03-23709Condors2Sound Tigers4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25720Sound Tigers11Crunch10WSommaire du Match
171 - 2019-03-28732Phantoms12Sound Tigers4LSommaire du Match
176 - 2019-04-02750Rocket5Sound Tigers9WSommaire du Match
183 - 2019-04-09772Rocket-Sound Tigers-
185 - 2019-04-11782Sound Tigers-Condors-
187 - 2019-04-13790Sound Tigers-Senateurs-
189 - 2019-04-15799Marlies-Sound Tigers-
191 - 2019-04-17808Sound Tigers-Bruins-
194 - 2019-04-20819Sound Tigers-Marlies-
196 - 2019-04-22826Thunderbird-Sound Tigers-
200 - 2019-04-26842Sound Tigers-Thunderbird-
202 - 2019-04-28849Heat-Sound Tigers-
203 - 2019-04-29858Sound Tigers-Senateurs-
206 - 2019-05-02865Sound Tigers-Thunderbird-
208 - 2019-05-04875Thunderbird-Sound Tigers-
213 - 2019-05-09893Sound Tigers-Bruins-
215 - 2019-05-11902Monsters-Sound Tigers-
217 - 2019-05-13913Sound Tigers-Bears-
218 - 2019-05-14917Sound Tigers-Gulls-
221 - 2019-05-17931Penguins-Sound Tigers-
223 - 2019-05-19941Sound Tigers-Gulls-
227 - 2019-05-23953Marlies-Sound Tigers-
235 - 2019-05-31983Penguins-Sound Tigers-



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
718,718$ 604,912$ 604,912$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 452,858$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 4,029$ 229,653$




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
2623423031103753522332181002110191171203016130100018418137737562299700681501536236965485185415210674260882330318059.41%27813750.72%6781133058.72%579107653.81%823144956.80%13828461359516990500
Total Saison Régulière623423031103753522332181002110191171203016130100018418137737562299700681501536236965485185415210674260882330318059.41%27813750.72%6781133058.72%579107653.81%823144956.80%13828461359516990500