Sound Tigers

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 6 | GA: 8 | PP%: 3.57% | PK%: 100.00%
DG: Pascal Labarre | Morale : 48 | Moyenne d'Équipe : 62
Prochain matchs #88 vs Bruins
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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 PoturalskiX100.005137886466949363756658576169656049630
2Matt MartinXX100.009663686387698061536257635678714450630
3Harry ZolnierczykX100.005337886168949358696256585980725349620
4Chris ConnerX100.005336926164949360686256545986764949620
5Turner ElsonX100.006040795973949358615756585773675849610
6Spencer FooX100.005837875972939058625756585769656049600
7Markus HannikainenX100.007835925977655758525760625971674249600
8Maxim Letunov (R)XXX100.006236905881918657615655585665636249600
9Matthew HighmoreX100.005637886370726861706256585465636249590
10Cody McLeodX100.009279495883605656515758545385752549580
11Radel FazleevX100.005635955473756953555350515265636249550
12Daniel CiampiniX100.006138805670626154555251565768655249550
13Nick DeSimoneX100.006237896378928961306256594969656046640
14Evan McEnenyX100.006638855881918757305953584769656249630
15Aaron NessX100.005237876167949260306751564777696149620
16Ryan StantonX100.006340785577928954305552574578705549620
17Joel HanleyX100.005836906070846959305754604675684749610
18Niko MikkolaX100.006537875483939153305251564865636249610
19Nelson NogierX100.005736915779817356305453564565636149590
Rayé
1Ryan KuffnerX100.005335955276695851575250535465634845540
MOYENNE D'ÉQUIPE100.00634085597583795750585457537267544960
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 Tokarski100.00777371757675777675777678844849740
2Harri Sateri100.00747775787372747372747378844349720
Rayé
1Matthew O'Connor100.00716462937069717069717073774645700
2Kevin Lankinen100.00737068777271737271737267715245700
3Eddie Lack100.00666563846564666564666579854245670
MOYENNE D'ÉQUIPE100.0072706881717072717072717580464771
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
1Andrew PoturalskiSound Tigers (NYI)RW5033-20031823280.00%313727.460113240000140054.55%8800000.4401000000
2Harry ZolnierczykSound Tigers (NYI)LW512310024851612.50%011623.22011225000121066.67%600000.5200000010
3Spencer FooSound Tigers (NYI)RW511200081381612.50%414428.850002240001150063.64%1100000.2800000000
4Chris ConnerSound Tigers (NYI)RW5112-10011785612.50%013627.280003260000161048.54%10300000.2901000001
5Matt MartinSound Tigers (NYI)LW/RW520201951410143714.29%010921.80000222000050043.00%10000000.3701001100
6Aaron NessSound Tigers (NYI)D5101-2202663316.67%1014228.43101522000016000.00%000000.1400000000
7Joel HanleySound Tigers (NYI)D5011120587320.00%613627.23000421000014000.00%000000.1500000001
8Nick DeSimoneSound Tigers (NYI)D5011-255362220.00%19118.220001000002000.00%000000.2200010000
9Ryan StantonSound Tigers (NYI)D50111140436110.00%713026.01000527000010000.00%000000.1500000000
10Matthew HighmoreSound Tigers (NYI)LW5000000124140.00%0367.300001500009000.00%500000.0000000000
11Markus HannikainenSound Tigers (NYI)LW5000-2601225380.00%07715.4900000000000066.67%300000.0000000000
12Radel FazleevSound Tigers (NYI)C5000-120254040.00%07414.96000227000030052.63%1900000.0001000000
13Evan McEnenySound Tigers (NYI)D5000-200625230.00%47615.31000531000010000.00%000000.0000000000
14Nelson NogierSound Tigers (NYI)D5000000011000.00%2285.6300015000016000.00%000000.0000000000
15Turner ElsonSound Tigers (NYI)C5000000129100.00%0234.6500035000000037.50%1600000.0000000000
16Cody McLeodSound Tigers (NYI)LW5000000100000.00%020.480000000000000.00%000000.0000000000
17Daniel CiampiniSound Tigers (NYI)RW5000-100113010.00%091.910000100000000.00%000000.0000000000
18Maxim LetunovSound Tigers (NYI)C/LW/RW5000000001100.00%010.220000000000000.00%000000.0000000000
19Niko MikkolaSound Tigers (NYI)D5000000000000.00%000.150000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9561016-1050106610011433715.26%37147215.511233927100021392048.43%35100000.2204011112
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)52210.9351.383042171070000.750450101
Stats d'équipe Total ou en Moyenne52210.9351.383042171070000.750450101


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
1Americans21100000110211000001100000000000020.50012301231044374233640102228900.00%110100.00%08615954.09%6113345.86%235343.40%12184122376030
2Bears1000000112-1000000000001000000112-110.5001230023102737423362392156116.67%10100.00%08615954.09%6113345.86%235343.40%12184122376030
3Bruins11000000321110000003210000000000021.000358002310293742336228411600.00%20100.00%08615954.09%6113345.86%235343.40%12184122376030
4Phantoms1010000013-2000000000001010000013-200.00011200231014374233622102412700.00%60100.00%08615954.09%6113345.86%235343.40%12184122376030
Total5220000168-2321000004312010000125-350.5006101601231011437423361073752662813.57%200100.00%08615954.09%6113345.86%235343.40%12184122376030
_Since Last GM Reset5220000168-2321000004312010000125-350.5006101601231011437423361073752662813.57%200100.00%08615954.09%6113345.86%235343.40%12184122376030
_Vs Conference3110000157-2110000003212010000125-330.5005813002310703742336672730381915.26%90100.00%08615954.09%6113345.86%235343.40%12184122376030
_Vs Division30100000431300000004310010000000000.0004711012310733742336621826391500.00%130100.00%08615954.09%6113345.86%235343.40%12184122376030

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55W26101611410737526601
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
522000168
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000043
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201000125
Derniers 10 Matchs
WLOTWOTL SOWSOL
220001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2813.57%200100.00%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
37423362310
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
8615954.09%6113345.86%235343.40%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12184122376030


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
4 - 2019-09-0513Sound Tigers1Phantoms3LSommaire du Match
5 - 2019-09-0626Sound Tigers1Bears2LXXSommaire du Match
11 - 2019-09-1243Americans1Sound Tigers0LSommaire du Match
12 - 2019-09-1358Americans0Sound Tigers1WSommaire du Match
17 - 2019-09-1869Bruins2Sound Tigers3WSommaire du Match
18 - 2019-09-1988Sound Tigers-Bruins-
19 - 2019-09-2096Phantoms-Sound Tigers-
25 - 2019-09-26126Sound Tigers-Wolf Pack-
26 - 2019-09-27131Sound Tigers-Bruins-
31 - 2019-10-02144Sound Tigers-Thunderbirds-
32 - 2019-10-03155Thunderbirds-Sound Tigers-
33 - 2019-10-04167Penguins-Sound Tigers-
36 - 2019-10-07173Devils-Sound Tigers-
39 - 2019-10-10194Bruins-Sound Tigers-
40 - 2019-10-11205Checkers-Sound Tigers-
43 - 2019-10-14215Sound Tigers-Wolf Pack-
45 - 2019-10-16230Sound Tigers-Rocket-
46 - 2019-10-17236Sound Tigers-Senators-
52 - 2019-10-23264Wolf Pack-Sound Tigers-
53 - 2019-10-24285Sound Tigers-Wolf Pack-
54 - 2019-10-25291Thunderbirds-Sound Tigers-
57 - 2019-10-28303Sound Tigers-Thunderbirds-
60 - 2019-10-31322Bruins-Sound Tigers-
61 - 2019-11-01333Sound Tigers-Thunderbirds-
64 - 2019-11-04340Wolf Pack-Sound Tigers-
67 - 2019-11-07362Sound Tigers-Penguins-
73 - 2019-11-13393Sound Tigers-Bruins-
74 - 2019-11-14403Thunderbirds-Sound Tigers-
75 - 2019-11-15416Penguins-Sound Tigers-
78 - 2019-11-18428Sound Tigers-Penguins-
80 - 2019-11-20435Sound Tigers-Checkers-
81 - 2019-11-21454Sound Tigers-Checkers-
86 - 2019-11-26471Wolf Pack-Sound Tigers-
87 - 2019-11-27480Sound Tigers-Thunderbirds-
88 - 2019-11-28487Sound Tigers-Wolf Pack-
92 - 2019-12-02512Sound Tigers-Americans-
94 - 2019-12-04518Sound Tigers-Crunch-
95 - 2019-12-05538Sound Tigers-Devils-
101 - 2019-12-11562Sound Tigers-Comets-
102 - 2019-12-12576Wolf Pack-Sound Tigers-
105 - 2019-12-15594Sound Tigers-Checkers-
106 - 2019-12-16595Sound Tigers-Checkers-
109 - 2019-12-19620Bruins-Sound Tigers-
110 - 2019-12-20632Bears-Sound Tigers-
113 - 2019-12-23645Penguins-Sound Tigers-
116 - 2019-12-26671Phantoms-Sound Tigers-
122 - 2020-01-01683Phantoms-Sound Tigers-
123 - 2020-01-02703Sound Tigers-Penguins-
126 - 2020-01-05712Sound Tigers-Wolf Pack-
129 - 2020-01-08724Sound Tigers-Bruins-
130 - 2020-01-09736Bruins-Sound Tigers-
131 - 2020-01-10748Comets-Sound Tigers-
136 - 2020-01-15771Sound Tigers-Phantoms-
137 - 2020-01-16780Wolf Pack-Sound Tigers-
138 - 2020-01-17794Checkers-Sound Tigers-
143 - 2020-01-22821Sound Tigers-Bruins-
144 - 2020-01-23831Thunderbirds-Sound Tigers-
145 - 2020-01-24840Bears-Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-30870Sound Tigers-Bears-
152 - 2020-01-31883Sound Tigers-Phantoms-
157 - 2020-02-05904Sound Tigers-Americans-
159 - 2020-02-07927Sound Tigers-Marlies-
165 - 2020-02-13956Sound Tigers-Bears-
166 - 2020-02-14969Thunderbirds-Sound Tigers-
169 - 2020-02-17977Marlies-Sound Tigers-
172 - 2020-02-201002Senators-Sound Tigers-
173 - 2020-02-211013Crunch-Sound Tigers-
176 - 2020-02-241018Checkers-Sound Tigers-
179 - 2020-02-271039Checkers-Sound Tigers-
180 - 2020-02-281054Bears-Sound Tigers-
182 - 2020-03-011058Penguins-Sound Tigers-
185 - 2020-03-041075Sound Tigers-Bruins-
186 - 2020-03-051087Bruins-Sound Tigers-
190 - 2020-03-091107Rocket-Sound Tigers-
192 - 2020-03-111120Sound Tigers-Thunderbirds-
193 - 2020-03-121134Sound Tigers-Penguins-



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
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
17,527$ 99,980$ 50,708$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 8,755$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 177 1,031$ 182,487$




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
145220000168-2321000004312010000125-356101601231011437423361073752662813.57%200100.00%08615954.09%6113345.86%235343.40%12184122376030
Total Saison Régulière5220000168-2321000004312010000125-356101601231011437423361073752662813.57%200100.00%08615954.09%6113345.86%235343.40%12184122376030