Sound Tigers

GP: 30 | W: 17 | L: 13 | OTL: 0 | P: 34
GF: 185 | GA: 172 | PP%: 65.56% | PK%: 50.35%
DG: Jonathan Lecompte | Morale : 54 | Moyenne d'Équipe : 63
Prochain matchs #387 vs Senateurs
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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
1Frank VatranoX100.006942798865745581834664607554524351660
2Kevin RoyX100.005342797256749964504668626751516061630
3Justin BaileyXX100.006143746284697458505560656152517156620
4Xavier OuelletX100.006441837569747072305450716255537061670
5Ian McCoshenX100.007442826483766566304256657451517861640
Rayé
1Frederik GauthierX100.007441786191549556685657655951518145620
MOYENNE D'ÉQUIPE100.00664279707570766652505965665252675664
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
Rayé
1Dylan Ferguson100.00655656786530656666666250585040590
MOYENNE D'ÉQUIPE100.0065565678653065666666625058504059
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)C303251833201033452006313216.00%1360020.0318314943681019934267.33%12496116042.7611110826
2Xavier OuelletSound Tigers (NYI)D30224567-61602733160766913.75%6677425.832025454391000177420.00%02651021.7300000573
3Kevin RoySound Tigers (NYI)LW30263763426023271615412116.15%1560620.2216203627640224940248.68%764925022.0801000443
4Ian McCoshenSound Tigers (NYI)D30122335-9240283414058468.57%3877125.72916252591000077000.00%01533000.9100000033
5Justin BaileySound Tigers (NYI)LW/RW3021123313715282487214724.14%1653717.911282018640116582050.00%661319001.2311021033
6Frederik GauthierSound Tigers (NYI)C1471825-97517207327389.59%730321.696142015270000270059.09%1321215001.6500100131
Stats d'équipe Total ou en Moyenne164120186306-161303015618382129945314.62%155359521.92811141951714071342042810664.94%1523176159081.7023231182219
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 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
Dylan FergusonSound Tigers (NYI)G191998-09-20No189 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$No750,000$Lien
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$0$No750,000$Lien
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 RoyFrank VatranoJustin Bailey40122
230122
320122
4Kevin RoyFrank VatranoJustin Bailey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletIan McCoshen40122
230122
320122
4Xavier OuelletIan McCoshen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kevin RoyFrank VatranoJustin Bailey60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletIan McCoshen60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Frank VatranoKevin Roy60122
2Justin Bailey40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletIan McCoshen60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Frank Vatrano60122Xavier OuelletIan McCoshen60122
2Kevin Roy4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Frank VatranoKevin Roy60122
2Justin Bailey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletIan McCoshen60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin RoyFrank VatranoJustin BaileyXavier OuelletIan McCoshen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kevin RoyFrank VatranoJustin BaileyXavier OuelletIan McCoshen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Justin Bailey, Frank Vatrano, Kevin RoyJustin Bailey, Frank VatranoKevin Roy
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Xavier Ouellet, Ian McCoshen, Xavier OuelletIan McCoshen,
Tirs de Pénalité
Frank Vatrano, 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
1Admirals1010000048-4000000000001010000048-400.0004812003379714453044474101038154117114.29%2150.00%041667561.63%28850357.26%43770661.90%677415645249485248
2Barracuda1010000045-11010000045-10000000000000.0004812003379714323044474101022612135360.00%6433.33%041667561.63%28850357.26%43770661.90%677415645249485248
3Bears321000002015522000000177101010000038-540.667203353003379714923044474101091354140151173.33%18666.67%141667561.63%28850357.26%43770661.90%677415645249485248
4Blacknight2200000016106110000007431100000096341.0001628440033797147730444741010601820295480.00%10550.00%041667561.63%28850357.26%43770661.90%677415645249485248
5Bruins210000101713421000010171340000000000041.000172643003379714743044474101059192226131292.31%10640.00%041667561.63%28850357.26%43770661.90%677415645249485248
6Devils312000001421-7211000001011-110100000410-620.3331426400033797141243044474101011130643617952.94%17852.94%041667561.63%28850357.26%43770661.90%677415645249485248
7Heat1010000046-2000000000001010000046-200.0004711003379714443044474101026710145240.00%5260.00%041667561.63%28850357.26%43770661.90%677415645249485248
8Icedogs11000000651110000006510000000000021.000610160033797145230444741010167495480.00%20100.00%041667561.63%28850357.26%43770661.90%677415645249485248
9Monsters431000002720711000000954321000001815360.7502742690033797141403044474101088264758311961.29%21861.90%041667561.63%28850357.26%43770661.90%677415645249485248
10Moose11000000752110000007520000000000021.0007101700337971442304447410102768126583.33%440.00%141667561.63%28850357.26%43770661.90%677415645249485248
11Penguins32100000181261100000011472110000078-140.6671826440033797141223044474101089222439171270.59%12466.67%041667561.63%28850357.26%43770661.90%677415645249485248
12Phantoms42101000262242100100014113211000001211160.7502644700033797141733044474101019284364110880.00%181327.78%141667561.63%28850357.26%43770661.90%677415645249485248
13Rampages202000001115-41010000057-21010000068-200.0001118290033797148130444741010601820279444.44%10550.00%041667561.63%28850357.26%43770661.90%677415645249485248
14Stars1010000058-3000000000001010000058-300.0005813003379714403044474101042198134375.00%440.00%041667561.63%28850357.26%43770661.90%677415645249485248
Total3015130101018517213161040101011384291459000007288-16340.5671853054900033797141166304447410109503263283881519965.56%1437150.35%341667561.63%28850357.26%43770661.90%677415645249485248
16Wolves1010000067-11010000067-10000000000000.000611170033797142830444741010291482022100.00%4175.00%041667561.63%28850357.26%43770661.90%677415645249485248
_Since Last GM Reset3015130101018517213161040101011384291459000007288-16340.5671853054900033797141166304447410109503263283881519965.56%1437150.35%341667561.63%28850357.26%43770661.90%677415645249485248
_Vs Conference191160101012210319107101010785127945000004452-8260.684122197319003379714725304447410106302162342401037168.93%964553.13%241667561.63%28850357.26%43770661.90%677415645249485248
_Vs Division1710601000105901586101000613823945000004452-8220.64710517127600337971465130444741010571197212214905965.56%863954.65%241667561.63%28850357.26%43770661.90%677415645249485248

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3034L1185305490116695032632838800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3015131010185172
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
16104101011384
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
145900007288
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1519965.56%1437150.35%3
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
304447410103379714
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
41667561.63%28850357.26%43770661.90%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
677415645249485248


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 - 2019-01-08387Senateurs-Sound Tigers-
96 - 2019-01-12403Sound Tigers-Rocket-
98 - 2019-01-14412Monsters-Sound Tigers-
102 - 2019-01-18429Sound Tigers-Rocket-
105 - 2019-01-21437Devils-Sound Tigers-
107 - 2019-01-23448Sound Tigers-Reigh-
109 - 2019-01-25460Stars-Sound Tigers-
115 - 2019-01-31482Senateurs-Sound Tigers-
118 - 2019-02-03494Sound Tigers-Icedogs-
120 - 2019-02-05502Sound Tigers-Phantoms-
121 - 2019-02-06508Bears-Sound Tigers-
124 - 2019-02-09519Sound Tigers-Bears-
128 - 2019-02-13533Admirals-Sound Tigers-
130 - 2019-02-15544Sound Tigers-Moose-
132 - 2019-02-17556Reigh-Sound Tigers-
134 - 2019-02-19567Sound Tigers-Barracuda-
137 - 2019-02-22578Sound Tigers-Marlies-
139 - 2019-02-24585Gulls-Sound Tigers-
141 - 2019-02-26596Sound Tigers-Penguins-
143 - 2019-02-28600Sound Tigers-Devils-
145 - 2019-03-02610Devils-Sound Tigers-
148 - 2019-03-05625Sound Tigers-Crunch-
150 - 2019-03-07634Admirals-Sound Tigers-
152 - 2019-03-09648Sound Tigers-Devils-
154 - 2019-03-11658Crunch-Sound Tigers-
156 - 2019-03-13671Sound Tigers-Wolves-
160 - 2019-03-17681Crunch-Sound Tigers-
164 - 2019-03-21701Sound Tigers-Condors-
166 - 2019-03-23709Condors-Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25720Sound Tigers-Crunch-
171 - 2019-03-28732Phantoms-Sound Tigers-
176 - 2019-04-02750Rocket-Sound Tigers-
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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
361,978$ 604,912$ 604,912$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 229,048$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 147 4,029$ 592,263$




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
23015130101018517213161040101011384291459000007288-16341853054900033797141166304447410109503263283881519965.56%1437150.35%341667561.63%28850357.26%43770661.90%677415645249485248
Total Saison Régulière3015130101018517213161040101011384291459000007288-16341853054900033797141166304447410109503263283881519965.56%1437150.35%341667561.63%28850357.26%43770661.90%677415645249485248