Sound Tigers

GP: 26 | W: 15 | L: 11 | OTL: 0 | P: 30
GF: 79 | GA: 57 | PP%: 13.29% | PK%: 82.72%
DG: Pascal Labarre | Morale : 57 | Moyenne d'Équipe : 58
Prochain matchs #393 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
1Cody McLeodX99.00915557708575746650636266557171163650
2Spencer Foo (R)X99.00715575826862696250606260555050163610
3Michael Dal ColleX100.00795576717569826250606060555050159610
4Andrew PoturalskiX99.00685572627365676250606060556671163600
5Samy BlaisX100.00655566706063716950616155555050163600
6Markus HannikainenX100.00765567716966546850606160555050149600
7Travis BoydX100.00605569726762766171616060555050166600
8David BrollX100.00585557608075735550555557557373166590
9Daniel CiampiniX100.00655567637364545550555556557175164570
10Radel Fazleev (R)X100.00665565636762735550555556555050163560
11Branden TroockX100.00565555555758595550555555557275163550
12Andrew DesjardinsX100.00565555555859595550555555557170163550
13Turner ElsonX100.00595569616864605550555558555050149550
14Ryan RupertX100.00605559626561655550555557555050163550
15Scott HarringtonX100.00765586788073596825626473555353164660
16Patrick WierciochX100.00605565778366806225606059557573163640
17Aaron NessX100.00615562696772666325616064555353163610
18Joel HanleyX100.00565556605656695625565656555353164550
19Ryan StantonX100.00555555605555625525555555556060163550
20Andrew O'BrienX100.00555555605555635525555555555353139540
Rayé
1Harry ZolnierczykX100.00565555555657565550555555555555124530
2Max FribergX100.00565555555555555550555555555050124520
3Jordan Samuels-ThomasX100.00565555555556555550555555555050124520
4Evan McEneny (R)X100.00555555605555645525555555555353148540
5Gavin Bayreuther (R)X100.00595555605555575525555555555353124540
6Nelson Nogier (R)X100.00555555605555685525555555555353124540
MOYENNE D'ÉQUIPE99.8863556264656265594257575855575715357
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
1Harri Sateri100.0066688576677262717068556060139670
2Antoine Bibeau100.0059788281626265636762556062153650
Rayé
1Dustin Tokarski100.0056696672646463646762557269135640
2Matthew O'Connor100.0059778180626262626761555860124640
3Mason McDonald (R)100.0055555555555555555555555055124530
MOYENNE D'ÉQUIPE100.005969747362636163656255606113563
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins70937282756068USA5161,600,000$


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
1Cody McLeodSound Tigers (NYI)LW26171431185201088088274819.32%1062323.983692310600021213157.04%66800000.9900000540
2Scott HarringtonSound Tigers (NYI)D26622281751559496521339.23%3261123.534610381090111101110.00%000000.9200001202
3Spencer FooSound Tigers (NYI)RW26618242410013486315549.52%261323.59224129500011192054.76%4200100.7800000013
4Andrew PoturalskiSound Tigers (NYI)C26712195140334254153212.96%860423.2323515911014972054.91%42800000.6300000121
5Michael Dal ColleSound Tigers (NYI)LW261061612195171954173118.52%038414.7813413111000060054.55%3300000.8300000102
6Patrick WierciochSound Tigers (NYI)D2621315-12604728338276.06%3361023.4926822990110100000.00%000000.4900000011
7Aaron NessSound Tigers (NYI)D2631114850046274118267.32%2160523.2922426101000060000.00%000000.4600000011
8Joel HanleySound Tigers (NYI)D264913252354471741523.53%2459923.070115810000103010.00%000000.4300001201
9Daniel CiampiniSound Tigers (NYI)C263101311952635427307.14%838814.94011849000181057.24%28300000.6700001021
10Samy BlaisSound Tigers (NYI)LW266410-118028293782316.22%330411.73000270000463053.89%19300000.6600000200
11David BrollSound Tigers (NYI)LW26369711520143910247.69%346617.94235101040001682055.07%6900000.3900100100
12Radel FazleevSound Tigers (NYI)LW266391118021174491813.64%633212.79000344000001046.67%3000000.5400000120
13Travis BoydSound Tigers (NYI)C26448-219518345213427.69%840215.49000180000340158.06%6200000.4000100101
14Markus HannikainenSound Tigers (NYI)LW20167338102125329223.12%01939.660331348000000058.09%13600000.7200110001
15Ryan StantonSound Tigers (NYI)D2616763602613112129.09%2641015.781011120003114000.00%000000.3400000000
16Branden TroockSound Tigers (NYI)RW26011120034230.00%1702.70000290000500100.00%200000.2800000000
17Evan McEnenySound Tigers (NYI)D180112401382220.00%51779.87000236000023000.00%000000.1100000000
18Andrew O'BrienSound Tigers (NYI)D8011020330200.00%3779.710000900009000.00%000000.2600000000
19Ryan RupertSound Tigers (NYI)C26011100110010.00%0150.6000001000020057.14%700001.2700000000
20Andrew DesjardinsSound Tigers (NYI)RW26000220301000.00%2120.490000000001000.00%000000.0000000000
21Turner ElsonSound Tigers (NYI)LW17000020000000.00%110.070000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne505791482271494064054748267918944311.63%196750614.86193655196112912313102415456.12%195300100.6000313161314
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
1Harri SateriSound Tigers (NYI)86200.8772.8642000201620100.000089000
2Antoine BibeauSound Tigers (NYI)20000.9352.0359002310000.0000017000
Stats d'équipe Total ou en Moyenne106200.8862.7548000221930100.0000826000


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
Aaron NessSound Tigers (NYI)D261990-05-17No187 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Andrew DesjardinsSound Tigers (NYI)RW301986-07-26No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm400,000$0$0$No400,000$
Andrew O'BrienSound Tigers (NYI)D241992-11-20No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew PoturalskiSound Tigers (NYI)C221994-01-14No190 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Antoine BibeauSound Tigers (NYI)G221994-04-30No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Branden TroockSound Tigers (NYI)RW221994-03-19No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Cody McLeodSound Tigers (NYI)LW321984-06-26No210 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm498,000$0$0$No498,000$498,000$498,000$
Daniel CiampiniSound Tigers (NYI)C261990-11-05No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
David BrollSound Tigers (NYI)LW241993-01-04No216 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Dustin TokarskiSound Tigers (NYI)G271989-09-16No195 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm499,999$0$0$No
Evan McEnenySound Tigers (NYI)D221994-05-22Yes203 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Gavin BayreutherSound Tigers (NYI)D221994-05-12Yes194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Harri SateriSound Tigers (NYI)G271989-12-29No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Harry ZolnierczykSound Tigers (NYI)LW291987-09-01No185 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Joel HanleySound Tigers (NYI)D251991-06-08No181 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jordan Samuels-ThomasSound Tigers (NYI)LW261990-05-28No195 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Markus HannikainenSound Tigers (NYI)LW231993-03-26No189 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Mason McDonaldSound Tigers (NYI)G261990-04-23Yes201 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Matthew O'ConnorSound Tigers (NYI)G241992-02-14No186 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Max FribergSound Tigers (NYI)LW241992-11-19No200 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Michael Dal ColleSound Tigers (NYI)LW201996-06-20No198 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Nelson NogierSound Tigers (NYI)D201996-05-27Yes191 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Patrick WierciochSound Tigers (NYI)D261990-09-11No206 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Radel FazleevSound Tigers (NYI)LW211996-01-07Yes176 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Ryan RupertSound Tigers (NYI)C221994-06-01No185 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Ryan StantonSound Tigers (NYI)D271989-07-19No196 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Samy BlaisSound Tigers (NYI)LW201996-06-16No164 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Scott HarringtonSound Tigers (NYI)D231993-03-09No201 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Spencer FooSound Tigers (NYI)RW231994-01-01Yes190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Travis BoydSound Tigers (NYI)C231993-09-14No185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Turner ElsonSound Tigers (NYI)LW241992-09-12No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3124.26194 Lbs6 ft12.42403,161$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Spencer FooCody McLeodMichael Dal Colle40122
2Andrew PoturalskiSamy BlaisTravis Boyd30122
3Cody McLeodAndrew PoturalskiDavid Broll20122
4Radel FazleevDaniel CiampiniSpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyScott Harrington40122
2Patrick WierciochAaron Ness30122
3Scott HarringtonJoel Hanley20122
4Joel HanleyRyan Stanton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleCody McLeodSpencer Foo60122
2Daniel CiampiniAndrew PoturalskiDavid Broll40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron NessJoel Hanley60122
2Patrick WierciochScott Harrington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cody McLeodSpencer Foo60122
2Andrew PoturalskiDavid Broll40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyRyan Stanton60122
2Scott HarringtonPatrick Wiercioch40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Patrick WierciochScott Harrington60122
2Cody McLeod40122Joel HanleyRyan Stanton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1David BrollCody McLeod60122
2Andrew PoturalskiSpencer Foo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonJoel Hanley60122
2Patrick WierciochAaron Ness40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCody McLeodSpencer FooScott HarringtonPatrick Wiercioch
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCody McLeodSpencer FooScott HarringtonPatrick Wiercioch
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Broll, Daniel Ciampini, Andrew PoturalskiAndrew Poturalski, Radel FazleevAndrew Poturalski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Wiercioch, Scott Harrington, Joel HanleyJoel HanleyScott Harrington, Joel Hanley
Tirs de Pénalité
David Broll, Daniel Ciampini, Radel Fazleev, Andrew Poturalski, Cody McLeod
Gardien
#1 : Harri Sateri, #2 : Antoine Bibeau


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
1Americans21001000532210010005320000000000041.000510150029242423923721522435023323814321.43%15286.67%047279259.60%43280253.87%19235354.39%684484568183314161
2Bears1010000023-1000000000001010000023-100.00023500292424230237215224315316176116.67%7271.43%047279259.60%43280253.87%19235354.39%684484568183314161
3Bruins51301000813-53020100039-62110000054140.4008142201292424212123721522439536751093026.67%33584.85%047279259.60%43280253.87%19235354.39%684484568183314161
4Checkers11000000707110000007070000000000021.00071421012924242502372152243183627300.00%20100.00%047279259.60%43280253.87%19235354.39%684484568183314161
5Devils1010000013-21010000013-20000000000000.00012310292424218237215224323914217114.29%7185.71%047279259.60%43280253.87%19235354.39%684484568183314161
6Penguins211000006601010000034-11100000032120.50061218002924242342372152243381368421417.14%17476.47%047279259.60%43280253.87%19235354.39%684484568183314161
7Phantoms2020000036-31010000024-21010000012-100.000369002924242282372152243381929271218.33%12375.00%047279259.60%43280253.87%19235354.39%684484568183314161
8Rocket11000000312000000000001100000031221.00036900292424233237215224327131427800.00%60100.00%047279259.60%43280253.87%19235354.39%684484568183314161
9Senators1010000013-2000000000001010000013-200.0001230029242422223721522431548287114.29%4250.00%047279259.60%43280253.87%19235354.39%684484568183314161
10Thunderbirds5410000022101222000000102832100000128480.8002242640129242421542372152243153466711819526.32%30390.00%047279259.60%43280253.87%19235354.39%684484568183314161
Total26131102000795722136502000403010137600000392712300.5777914822714292424267923721522435831964085471431913.29%1622882.72%147279259.60%43280253.87%19235354.39%684484568183314161
12Wolf Pack54100000219122200000095432100000124880.800213758012924242150237215224311127799323417.39%29679.31%147279259.60%43280253.87%19235354.39%684484568183314161
_Since Last GM Reset26131102000795722136502000403010137600000392712300.5777914822714292424267923721522435831964085471431913.29%1622882.72%147279259.60%43280253.87%19235354.39%684484568183314161
_Vs Conference17610010004243-1825010001825-79450000024186140.41242761181229242424032372152243335111289337991111.11%1092378.90%147279259.60%43280253.87%19235354.39%684484568183314161
_Vs Division144400000393097220000018144722000002116580.28639741130229242423692372152243340122196320781114.10%881286.36%047279259.60%43280253.87%19235354.39%684484568183314161

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2630W27914822767958319640854714
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
26131120007957
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136520004030
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
137600003927
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1431913.29%1622882.72%1
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
23721522432924242
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
47279259.60%43280253.87%19235354.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
684484568183314161


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 - 2018-09-0813Sound Tigers1Phantoms2LSommaire du Match
5 - 2018-09-0926Sound Tigers2Bears3LSommaire du Match
11 - 2018-09-1543Americans2Sound Tigers3WSommaire du Match
12 - 2018-09-1658Americans1Sound Tigers2WXSommaire du Match
17 - 2018-09-2169Bruins1Sound Tigers2WXSommaire du Match
18 - 2018-09-2288Sound Tigers2Bruins0WSommaire du Match
19 - 2018-09-2396Phantoms4Sound Tigers2LSommaire du Match
25 - 2018-09-29126Sound Tigers6Wolf Pack0WSommaire du Match
26 - 2018-09-30131Sound Tigers3Bruins4LSommaire du Match
31 - 2018-10-05144Sound Tigers3Thunderbirds1WSommaire du Match
32 - 2018-10-06155Thunderbirds0Sound Tigers4WSommaire du Match
33 - 2018-10-07167Penguins4Sound Tigers3LSommaire du Match
36 - 2018-10-10173Devils3Sound Tigers1LSommaire du Match
39 - 2018-10-13194Bruins3Sound Tigers1LSommaire du Match
40 - 2018-10-14205Checkers0Sound Tigers7WSommaire du Match
43 - 2018-10-17215Sound Tigers2Wolf Pack3LSommaire du Match
45 - 2018-10-19230Sound Tigers3Rocket1WSommaire du Match
46 - 2018-10-20236Sound Tigers1Senators3LSommaire du Match
52 - 2018-10-26264Wolf Pack3Sound Tigers5WSommaire du Match
53 - 2018-10-27285Sound Tigers4Wolf Pack1WSommaire du Match
54 - 2018-10-28291Thunderbirds2Sound Tigers6WSommaire du Match
57 - 2018-10-31303Sound Tigers6Thunderbirds2WSommaire du Match
60 - 2018-11-03322Bruins5Sound Tigers0LSommaire du Match
61 - 2018-11-04333Sound Tigers3Thunderbirds5LSommaire du Match
64 - 2018-11-07340Wolf Pack2Sound Tigers4WSommaire du Match
67 - 2018-11-10362Sound Tigers3Penguins2WSommaire du Match
73 - 2018-11-16393Sound Tigers-Bruins-
74 - 2018-11-17403Thunderbirds-Sound Tigers-
75 - 2018-11-18416Penguins-Sound Tigers-
78 - 2018-11-21428Sound Tigers-Penguins-
80 - 2018-11-23435Sound Tigers-Checkers-
81 - 2018-11-24454Sound Tigers-Checkers-
86 - 2018-11-29471Wolf Pack-Sound Tigers-
87 - 2018-11-30480Sound Tigers-Thunderbirds-
88 - 2018-12-01487Sound Tigers-Wolf Pack-
92 - 2018-12-05512Sound Tigers-Americans-
94 - 2018-12-07518Sound Tigers-Crunch-
95 - 2018-12-08538Sound Tigers-Devils-
101 - 2018-12-14562Sound Tigers-Comets-
102 - 2018-12-15576Wolf Pack-Sound Tigers-
105 - 2018-12-18594Sound Tigers-Checkers-
106 - 2018-12-19595Sound Tigers-Checkers-
109 - 2018-12-22620Bruins-Sound Tigers-
110 - 2018-12-23632Bears-Sound Tigers-
113 - 2018-12-26645Penguins-Sound Tigers-
116 - 2018-12-29671Phantoms-Sound Tigers-
122 - 2019-01-04683Phantoms-Sound Tigers-
123 - 2019-01-05703Sound Tigers-Penguins-
126 - 2019-01-08712Sound Tigers-Wolf Pack-
129 - 2019-01-11724Sound Tigers-Bruins-
130 - 2019-01-12736Bruins-Sound Tigers-
131 - 2019-01-13748Comets-Sound Tigers-
136 - 2019-01-18771Sound Tigers-Phantoms-
137 - 2019-01-19780Wolf Pack-Sound Tigers-
138 - 2019-01-20794Checkers-Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25821Sound Tigers-Bruins-
144 - 2019-01-26831Thunderbirds-Sound Tigers-
145 - 2019-01-27840Bears-Sound Tigers-
151 - 2019-02-02870Sound Tigers-Bears-
152 - 2019-02-03883Sound Tigers-Phantoms-
157 - 2019-02-08904Sound Tigers-Americans-
159 - 2019-02-10927Sound Tigers-Marlies-
165 - 2019-02-16956Sound Tigers-Bears-
166 - 2019-02-17969Thunderbirds-Sound Tigers-
169 - 2019-02-20977Marlies-Sound Tigers-
172 - 2019-02-231002Senators-Sound Tigers-
173 - 2019-02-241013Crunch-Sound Tigers-
176 - 2019-02-271018Checkers-Sound Tigers-
179 - 2019-03-021039Checkers-Sound Tigers-
180 - 2019-03-031054Bears-Sound Tigers-
182 - 2019-03-051058Penguins-Sound Tigers-
185 - 2019-03-081075Sound Tigers-Bruins-
186 - 2019-03-091087Bruins-Sound Tigers-
190 - 2019-03-131107Rocket-Sound Tigers-
192 - 2019-03-151120Sound Tigers-Thunderbirds-
193 - 2019-03-161134Sound 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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
598,300$ 124,980$ 98,958$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 45,730$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 8,892$ 1,129,284$




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
1326131102000795722136502000403010137600000392712307914822714292424267923721522435831964085471431913.29%1622882.72%147279259.60%43280253.87%19235354.39%684484568183314161
Total Saison Régulière26131102000795722136502000403010137600000392712307914822714292424267923721522435831964085471431913.29%1622882.72%147279259.60%43280253.87%19235354.39%684484568183314161