Sound Tigers

GP: 10 | W: 4 | L: 5 | OTL: 1 | P: 9
GF: 13 | GA: 16 | PP%: 6.52% | PK%: 100.00%
DG: Pascal Labarre | Morale : 47 | Moyenne d'Équipe : 62
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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
1Andrew PoturalskiX100.005137886466949363756658576169656050630
2Matt MartinXX100.009663686387698061536257635678714446630
3Harry ZolnierczykX100.005337886168949358696256585980725350620
4Chris ConnerX100.005336926164949360686256545986764950620
5Turner ElsonX100.006040795973949358615756585773675850610
6Spencer FooX100.005837875972939058625756585769656050600
7Markus HannikainenX100.007835925977655758525760625971674250600
8Maxim Letunov (R)XXX100.006236905881918657615655585665636246600
9Matthew HighmoreX100.005637886370726861706256585465636250590
10Cody McLeodX100.009279495883605656515758545385752546580
11Radel FazleevX100.005635955473756953555350515265636250550
12Daniel CiampiniX100.006138805670626154555251565768655250550
13Nick DeSimoneX100.006237896378928961306256594969656046640
14Evan McEnenyX100.006638855881918757305953584769656250630
15Aaron NessX100.005237876167949260306751564777696150620
16Ryan StantonX100.006340785577928954305552574578705550620
17Joel HanleyX100.005836906070846959305754604675684750610
18Niko MikkolaX100.006537875483939153305251564865636246610
19Nelson NogierX100.005736915779817356305453564565636150590
Rayé
1Ryan KuffnerX100.005335955276695851575250535465634836540
MOYENNE D'ÉQUIPE100.00634085597583795750585457537267544860
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
1Dustin Tokarski100.00777371757675777675777678844846740
2Harri Sateri100.00747775787372747372747378844350720
Rayé
1Matthew O'Connor100.00716462937069717069717073774640700
2Kevin Lankinen100.00737068777271737271737267715236700
3Eddie Lack100.00666563846564666564666579854240670
MOYENNE D'ÉQUIPE100.0072706881717072717072717580464271
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards75808569787371USA525100,000$


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
1Spencer FooSound Tigers (NYI)RW10347-320462251513.64%128328.371234380000321069.23%1300000.4900000010
2Chris ConnerSound Tigers (NYI)RW10156-100528198145.26%227427.410227380000300050.79%19100000.4411000001
3Aaron NessSound Tigers (NYI)D10145-3406983812.50%528528.58101638000026000.00%000000.3500000001
4Andrew PoturalskiSound Tigers (NYI)RW10224-12011222310198.70%227227.260006400000190053.26%18400000.2900000101
5Joel HanleySound Tigers (NYI)D10123-54012997611.11%1726626.61112634000027010.00%000000.2300000010
6Harry ZolnierczykSound Tigers (NYI)LW10112-400412212224.76%322322.33000541000001058.33%1200000.1800000010
7Matt MartinSound Tigers (NYI)LW/RW10112-446103720317173.23%220720.77011736000090049.02%20400000.1911101010
8Markus HannikainenSound Tigers (NYI)LW10011-280173145110.00%616216.2300000000000033.33%600000.1200000000
9Radel FazleevSound Tigers (NYI)C10101-2206481612.50%115815.89000343000091051.43%3500000.1300000000
10Evan McEnenySound Tigers (NYI)D10011-120419980.00%412912.9500094500009000.00%000000.1500000001
11Nelson NogierSound Tigers (NYI)D101011003230133.33%6585.8600017000027000.00%000000.3400000000
12Nick DeSimoneSound Tigers (NYI)D10011-18020107240.00%920520.550000200001000.00%000000.1000000000
13Matthew HighmoreSound Tigers (NYI)LW10000-100334170.00%0898.98000050001140077.78%900000.0000000000
14Turner ElsonSound Tigers (NYI)C10000-100336130.00%0464.6100038000010050.00%2400000.0000000000
15Cody McLeodSound Tigers (NYI)LW10000000000000.00%020.260000000000000.00%000000.0000000000
16Daniel CiampiniSound Tigers (NYI)RW10000-100103010.00%0242.4200002000000050.00%200000.0000000000
17Rocco GrimaldiNew York IslandersC6000000000000.00%020.450000000000000.00%000000.0000000000
18Maxim LetunovSound Tigers (NYI)C/LW/RW10000000100000.00%000.060000000000000.00%000000.0000000000
19Niko MikkolaSound Tigers (NYI)D10000000000000.00%000.030000000000000.00%000000.0000000000
20Ryan StantonSound Tigers (NYI)D10000-4802086370.00%1026026.07000642000024000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne196122234-338610157140193641496.22%68295515.083696342800012353151.62%68000000.2322101144
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
1Dustin TokarskiSound Tigers (NYI)104510.9311.5860603162330001.0002100220
Stats d'équipe Total ou en Moyenne104510.9311.5860603162330001.0002100220


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
Aaron NessSound Tigers (NYI)D291990-05-18No184 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Andrew PoturalskiSound Tigers (NYI)RW251994-01-14No180 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Chris ConnerSound Tigers (NYI)RW351983-12-23No181 Lbs5 ft7NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Cody McLeodSound Tigers (NYI)LW351984-06-26No204 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm498,000$0$0$NoLien
Daniel CiampiniSound Tigers (NYI)RW281990-11-25No185 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Dustin TokarskiSound Tigers (NYI)G291989-09-16No204 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Eddie LackSound Tigers (NYI)G311988-01-05No187 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm499,996$0$0$NoLien
Evan McEnenySound Tigers (NYI)D251994-05-22No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Harri SateriSound Tigers (NYI)G291989-12-29No205 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm750,000$0$0$NoLien
Harry ZolnierczykSound Tigers (NYI)LW311987-09-01No180 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Joel HanleySound Tigers (NYI)D281991-06-08No190 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Kevin LankinenSound Tigers (NYI)G241995-04-28No185 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Markus HannikainenSound Tigers (NYI)LW261993-03-26No200 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Matt MartinSound Tigers (NYI)LW/RW301989-05-08No220 Lbs6 ft3NoNoNo4Sans RestrictionPro & Farm500,000$0$0$NoLien
Matthew HighmoreSound Tigers (NYI)LW231996-02-27No188 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Matthew O'ConnorSound Tigers (NYI)G271992-02-14No205 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Maxim LetunovSound Tigers (NYI)C/LW/RW231996-02-20Yes175 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Nelson NogierSound Tigers (NYI)D231996-05-27No191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nick DeSimoneSound Tigers (NYI)D241994-11-21No190 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Niko MikkolaSound Tigers (NYI)D231996-04-27No185 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Radel FazleevSound Tigers (NYI)C231996-01-07No176 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan KuffnerSound Tigers (NYI)LW231996-06-12No195 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan StantonSound Tigers (NYI)D291989-07-20No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Spencer FooSound Tigers (NYI)RW251994-05-19No190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Turner ElsonSound Tigers (NYI)C261992-09-13No195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.96192 Lbs6 ft12.52399,920$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Spencer FooMatt MartinHarry Zolnierczyk40122
2Andrew PoturalskiChris ConnerMarkus Hannikainen30122
3Spencer FooAndrew PoturalskiChris Conner20122
4Radel FazleevAndrew PoturalskiSpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyRyan Stanton40122
2Nick DeSimoneAaron Ness30122
3Aaron NessJoel Hanley20122
4Joel HanleyRyan Stanton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris ConnerMatt MartinSpencer Foo60122
2Radel FazleevAndrew PoturalskiHarry Zolnierczyk40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron NessJoel Hanley60122
2Ryan StantonEvan McEneny40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris ConnerSpencer Foo60122
2Andrew PoturalskiMatt Martin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyRyan Stanton60122
2Aaron NessNelson Nogier40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Aaron NessNick DeSimone60122
2Spencer Foo40122Joel HanleyRyan Stanton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris ConnerRadel Fazleev60122
2Andrew PoturalskiSpencer Foo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan StantonJoel Hanley60122
2Evan McEnenyAaron Ness40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris ConnerMatt MartinSpencer FooAaron NessJoel Hanley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris ConnerMatt MartinSpencer FooAaron NessJoel Hanley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Spencer Foo, Chris Conner, Andrew PoturalskiAndrew Poturalski, Radel FazleevAndrew Poturalski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Aaron Ness, Ryan Stanton, Joel HanleyJoel HanleyAaron Ness, Joel Hanley
Tirs de Pénalité
Chris Conner, Matt Martin, Radel Fazleev, Andrew Poturalski, Spencer Foo
Gardien
#1 : Dustin Tokarski, #2 : Harri Sateri


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
1Devils2020000013-21010000001-11010000012-100.00012300741244766650351121828900.00%70100.00%012325049.20%16530354.46%6311952.94%2351612427612864
2Heat10000010211000000000001000001021121.0002240074121676665031330198112.50%000.00%012325049.20%16530354.46%6311952.94%2351612427612864
3Monsters21100000431110000003031010000013-220.500481201741234766650349153129800.00%80100.00%012325049.20%16530354.46%6311952.94%2351612427612864
4Phantoms2110000023-11010000013-21100000010120.50023501741232766650350142336700.00%80100.00%012325049.20%16530354.46%6311952.94%2351612427612864
5Roadrunners1000010023-11000010023-10000000000010.50024600741224766650321112194125.00%10100.00%012325049.20%16530354.46%6311952.94%2351612427612864
Total1035001101316-351300100610-45220001076190.450132235037412193766650323368861574636.52%300100.00%012325049.20%16530354.46%6311952.94%2351612427612864
7Wolf Pack2110000023-11010000003-31100000020220.5002350174124376665034913122610110.00%60100.00%012325049.20%16530354.46%6311952.94%2351612427612864
_Since Last GM Reset1035001101316-351300100610-45220001076190.450132235037412193766650323368861574636.52%300100.00%012325049.20%16530354.46%6311952.94%2351612427612864
_Vs Conference935001001115-451300100610-44220000055070.389112031037412177766650322065861383825.26%300100.00%012325049.20%16530354.46%6311952.94%2351612427612864

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
109L1132235193233688615703
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
103501101316
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5130100610
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
522001076
Derniers 10 Matchs
WLOTWOTL SOWSOL
350110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4636.52%300100.00%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
76665037412
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
12325049.20%16530354.46%6311952.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2351612427612864


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
2 - 2019-09-039Roadrunners3Sound Tigers2LXSommaire du Match
4 - 2019-09-0533Monsters0Sound Tigers3WSommaire du Match
6 - 2019-09-0743Sound Tigers2Wolf Pack0WSommaire du Match
8 - 2019-09-0963Phantoms3Sound Tigers1LSommaire du Match
10 - 2019-09-1180Sound Tigers2Heat1WXXSommaire du Match
12 - 2019-09-1396Wolf Pack3Sound Tigers0LSommaire du Match
15 - 2019-09-16118Sound Tigers1Devils2LSommaire du Match
16 - 2019-09-17129Devils1Sound Tigers0LSommaire du Match
17 - 2019-09-18134Sound Tigers1Phantoms0WSommaire du Match
18 - 2019-09-19140Sound Tigers1Monsters3LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 99,980$ 50,708$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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