Sound Tigers

GP: 52 | W: 28 | L: 22 | OTL: 2 | P: 58
GF: 159 | GA: 118 | PP%: 14.13% | PK%: 84.35%
DG: Pascal Labarre | Morale : 56 | Moyenne d'Équipe : 58
Prochain matchs #771 vs Phantoms
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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 McLeodX97.00915557708575746650636266557171169650
2Matthew Highmore (R)X100.00665581706671826450606361555050144610
3Spencer Foo (R)X97.00715575826862696250606260555050169610
4Chris ConnerX100.00675565686360696050636462557173126610
5Andrew PoturalskiX97.00685572627365676250606060556671169600
6Markus HannikainenX100.00765567716966546850606160555050155600
7Rocco GrimaldiXXX100.00605573786065826150616160555050126600
8David BrollX97.00585557608075735550555557557373171590
9Daniel CiampiniX100.00655567637364545550555556557175170570
10Radel Fazleev (R)X100.00665565636762735550555556555050169560
11Branden TroockX100.00565555555758595550555555557275169550
12Andrew DesjardinsX100.00565555555859595550555555557170169550
13Turner ElsonX100.00595569616864605550555558555050148550
14Ryan RupertX100.00605559626561655550555557555050169550
15Scott HarringtonX100.00765586788073596825626473555353168660
16Patrick WierciochX100.00605565778366806225606059557573156640
17Aaron NessX97.00615562696772666325616064555353172610
18Joel HanleyX100.00565556605656695625565656555353170550
19Ryan StantonX100.00555555605555625525555555556060169550
20Nelson Nogier (R)X100.00555555605555685525555555555353127540
Rayé
1Harry ZolnierczykX100.00565555555657565550555555555555120530
2Max FribergX100.00565555555555555550555555555050120520
3Jordan Samuels-ThomasX100.00565555555556555550555555555050120520
4Evan McEneny (R)X100.00555555605555645525555555555353139540
5Andrew O'BrienX100.00555555605555635525555555555353133540
MOYENNE D'ÉQUIPE99.4062556364656265584257585855585915358
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 Sateri100.0066688576677262717068556060140670
2Dustin Tokarski100.0056696672646463646762557269126630
Rayé
1Matthew O'Connor100.0059778180626262626761555860120630
2Mason McDonald (R)100.0055555555555555555555555055120530
MOYENNE D'ÉQUIPE100.005967727162636163656255606112762
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)LW52262349149602101591755110114.86%20123923.84411153521100062354158.38%130700000.7901000661
2Spencer FooSound Tigers (NYI)RW52133245311803410313334929.77%6122623.593472318720272272054.22%8300100.7300000045
3Matthew HighmoreSound Tigers (NYI)C5120224252610441401594111612.58%16116422.8257123219500052004147.98%126500020.7201101525
4Andrew PoturalskiSound Tigers (NYI)C52162238172806397115247513.91%12121323.3357123418212371903053.54%84800000.6301000323
5Aaron NessSound Tigers (NYI)D5210243416855975382305012.20%49125124.06459501971012151310.00%000000.5400100233
6Daniel CiampiniSound Tigers (NYI)C5211223320235588296256511.46%1483015.97448221510001252057.02%59800000.7901001124
7Scott HarringtonSound Tigers (NYI)D43723301755568577525399.33%3873517.105611431230112125110.00%000000.8200001203
8Patrick WierciochSound Tigers (NYI)D4942529170076535810446.90%61113623.1931114371790110159100.00%000000.5100000012
9Radel FazleevSound Tigers (NYI)LW5213112419280484277165116.88%967813.05134588000031052.56%7800000.7101000330
10David BrollSound Tigers (NYI)LW52617233401037327116508.45%698218.8939122620000011443155.00%14000000.4701200200
11Matt MartinNew York IslandersLW241192046151156283205013.25%755223.00268179700011064060.59%34000000.7200100314
12Joel HanleySound Tigers (NYI)D52612183445594183162319.35%41120523.17011131690111197110.00%000000.3000001201
13Markus HannikainenSound Tigers (NYI)LW465101511541039547520506.67%14319.390331453000081056.76%14800000.6900110111
14Ryan StantonSound Tigers (NYI)D5221315176006527265217.69%3697118.692137860114200000.00%000000.3100000010
15Chris ConnerSound Tigers (NYI)RW20581371007323992112.82%124712.362351347000000254.85%20600001.0500000002
16Andrew O'BrienSound Tigers (NYI)D24246-1120175115518.18%82349.76213944000034000.00%000000.5100000000
17Evan McEnenySound Tigers (NYI)D321456120261115646.67%1137311.680111069000051100.00%000000.2701000000
18Nelson NogierSound Tigers (NYI)D2004471951576170.00%927113.56022423000080000.00%000000.3000001000
19Branden TroockSound Tigers (NYI)RW52022460466650.00%11703.2700022600001300100.00%400000.2300000000
20Rocco GrimaldiSound Tigers (NYI)C/LW/RW1211222039941211.11%611910.000002210001110052.99%11700000.3300000000
21Turner ElsonSound Tigers (NYI)LW371011200030133.33%1140.390000000000000.00%000001.3900000000
22Ryan RupertSound Tigers (NYI)C52011000112140.00%0320.6200014000060066.67%1200000.6200000000
23Andrew DesjardinsSound Tigers (NYI)RW52000220311010.00%2310.620000000002000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne9821602894492377546011241051134835588711.87%3551511215.3945851303992362461038217831854.51%514600120.5907615302634
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
1Philipp GrubauerNew York Islanders3326430.9211.51199465506310000.6679330021
2Harri SateriSound Tigers (NYI)34191320.8922.44196802807410100.8336349120
Stats d'équipe Total ou en Moyenne67451750.9051.9739636713013720100.73315679141


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)D261990-05-17No187 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Andrew DesjardinsSound Tigers (NYI)RW301986-07-26No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm400,000$0$0$No
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$0$No
Branden TroockSound Tigers (NYI)RW221994-03-19No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Chris ConnerSound Tigers (NYI)RW331983-12-23No181 Lbs5 ft7NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Cody McLeodSound Tigers (NYI)LW321984-06-26No210 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm498,000$0$0$No
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$0$No
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$0$No
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$0$No
Joel HanleySound Tigers (NYI)D251991-06-08No181 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
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$0$No
Mason McDonaldSound Tigers (NYI)G261990-04-23Yes201 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Matthew HighmoreSound Tigers (NYI)C201996-02-27Yes181 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Matthew O'ConnorSound Tigers (NYI)G241992-02-14No186 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Max FribergSound Tigers (NYI)LW241992-11-19No200 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Nelson NogierSound Tigers (NYI)D201996-05-27Yes191 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
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$0$No
Rocco GrimaldiSound Tigers (NYI)C/LW/RW231993-02-07No160 Lbs5 ft6NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
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$0$No
Scott HarringtonSound Tigers (NYI)D231993-03-09No201 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Spencer FooSound Tigers (NYI)RW231994-01-01Yes190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Turner ElsonSound Tigers (NYI)LW241992-09-12No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.86193 Lbs6 ft12.45389,586$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Spencer FooCody McLeodDavid Broll40122
2Andrew PoturalskiChris ConnerMarkus Hannikainen30122
3Cody McLeodAndrew PoturalskiDavid Broll20122
4Radel FazleevDaniel CiampiniSpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyRyan Stanton40122
2Patrick WierciochAaron Ness30122
3Aaron NessJoel Hanley20122
4Joel HanleyRyan Stanton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris ConnerCody McLeodSpencer Foo60122
2Daniel CiampiniAndrew PoturalskiDavid Broll40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron NessJoel Hanley60122
2Ryan StantonPatrick Wiercioch40122
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
2Aaron NessPatrick Wiercioch40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Aaron NessPatrick Wiercioch60122
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
1Ryan StantonJoel Hanley60122
2Patrick WierciochAaron Ness40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris ConnerCody McLeodSpencer FooAaron NessJoel Hanley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris ConnerCody McLeodSpencer FooAaron NessJoel Hanley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Broll, Daniel Ciampini, 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
David Broll, Daniel Ciampini, Radel Fazleev, Andrew Poturalski, Cody McLeod
Gardien
#1 : Harri Sateri, #2 : Dustin Tokarski


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
1Americans3110100056-1210010005321010000003-340.6675101500615144353456427433157531485921314.29%23482.61%0917155658.93%867160454.05%41573056.85%13539561156371627322
2Bears2020000046-21010000023-11010000023-100.000471100615144355456427433154212303313323.08%14471.43%0917155658.93%867160454.05%41573056.85%13539561156371627322
3Bruins926010001824-650401000715-842200000119260.33318304801615144321545642743315161501071725459.26%47785.11%0917155658.93%867160454.05%41573056.85%13539561156371627322
4Checkers5500000029524110000007074400000022517101.0002953820261514432174564274331585215611917211.76%27196.30%0917155658.93%867160454.05%41573056.85%13539561156371627322
5Comets22000000725110000003211100000040441.0007121901615144333456427433155414374610330.00%150100.00%0917155658.93%867160454.05%41573056.85%13539561156371627322
6Crunch11000000431000000000001100000043121.000481200615144319456427433153951830300.00%90100.00%1917155658.93%867160454.05%41573056.85%13539561156371627322
7Devils2020000025-31010000013-21010000012-100.00024610615144334456427433154816314810220.00%13284.62%0917155658.93%867160454.05%41573056.85%13539561156371627322
8Penguins614000011019-93030000049-531100001610-430.2501019290061514439545642743315140321401104748.51%40977.50%0917155658.93%867160454.05%41573056.85%13539561156371627322
9Phantoms4030100069-33020100057-21010000012-120.250612180061514437245642743315833753562428.33%24579.17%0917155658.93%867160454.05%41573056.85%13539561156371627322
10Rocket11000000312000000000001100000031221.000369006151443334564274331527131427800.00%60100.00%0917155658.93%867160454.05%41573056.85%13539561156371627322
11Senators1010000013-2000000000001010000013-200.00012300615144322456427433151548287114.29%4250.00%0917155658.93%867160454.05%41573056.85%13539561156371627322
12Thunderbirds7510010030171333000000155104210010015123110.78630588801615144320245642743315213619315525624.00%43588.37%1917155658.93%867160454.05%41573056.85%13539561156371627322
Total5225220310115911841249120300067561128161000101926230580.558159290449166151443132545642743315116934375410512834014.13%3134984.35%4917155658.93%867160454.05%41573056.85%13539561156371627322
14Wolf Pack972000004018224310000018995410000022913140.7784069109016151443275456427433151874711916844920.45%481079.17%2917155658.93%867160454.05%41573056.85%13539561156371627322
_Since Last GM Reset5225220310115911841249120300067561128161000101926230580.558159290449166151443132545642743315116934375410512834014.13%3134984.35%4917155658.93%867160454.05%41573056.85%13539561156371627322
_Vs Conference341120020018587-217312020003746-917880000148417270.39785151236126151443787456427433157152035066452022612.87%1993980.40%3917155658.93%867160454.05%41573056.85%13539561156371627322
_Vs Division227701000615471034010002723412430000034313160.36461114175026151443544456427433155301642884711181512.71%1321886.36%2917155658.93%867160454.05%41573056.85%13539561156371627322

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5258W115929044913251169343754105116
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5225223101159118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2491230006756
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
28161001019262
Derniers 10 Matchs
WLOTWOTL SOWSOL
351001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2834014.13%3134984.35%4
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
456427433156151443
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
917155658.93%867160454.05%41573056.85%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13539561156371627322


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 Tigers2Bruins3LSommaire du Match
74 - 2018-11-17403Thunderbirds3Sound Tigers5WSommaire du Match
75 - 2018-11-18416Penguins3Sound Tigers1LSommaire du Match
78 - 2018-11-21428Sound Tigers0Penguins4LSommaire du Match
80 - 2018-11-23435Sound Tigers6Checkers0WSommaire du Match
81 - 2018-11-24454Sound Tigers7Checkers1WSommaire du Match
86 - 2018-11-29471Wolf Pack1Sound Tigers7WSommaire du Match
87 - 2018-11-30480Sound Tigers3Thunderbirds4LXSommaire du Match
88 - 2018-12-01487Sound Tigers4Wolf Pack2WSommaire du Match
92 - 2018-12-05512Sound Tigers0Americans3LSommaire du Match
94 - 2018-12-07518Sound Tigers4Crunch3WSommaire du Match
95 - 2018-12-08538Sound Tigers1Devils2LSommaire du Match
101 - 2018-12-14562Sound Tigers4Comets0WSommaire du Match
102 - 2018-12-15576Wolf Pack3Sound Tigers2LSommaire du Match
105 - 2018-12-18594Sound Tigers6Checkers3WSommaire du Match
106 - 2018-12-19595Sound Tigers3Checkers1WSommaire du Match
109 - 2018-12-22620Bruins4Sound Tigers3LSommaire du Match
110 - 2018-12-23632Bears3Sound Tigers2LSommaire du Match
113 - 2018-12-26645Penguins2Sound Tigers0LSommaire du Match
116 - 2018-12-29671Phantoms1Sound Tigers2WXSommaire du Match
122 - 2019-01-04683Phantoms2Sound Tigers1LSommaire du Match
123 - 2019-01-05703Sound Tigers3Penguins4LXXSommaire du Match
126 - 2019-01-08712Sound Tigers6Wolf Pack3WSommaire du Match
129 - 2019-01-11724Sound Tigers4Bruins2WSommaire du Match
130 - 2019-01-12736Bruins2Sound Tigers1LSommaire du Match
131 - 2019-01-13748Comets2Sound Tigers3WSommaire du Match
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
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,164,431$ 112,980$ 91,708$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 84,008$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 63 8,830$ 556,290$




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
13522522031011591184124912030006756112816100010192623058159290449166151443132545642743315116934375410512834014.13%3134984.35%4917155658.93%867160454.05%41573056.85%13539561156371627322
Total Saison Régulière522522031011591184124912030006756112816100010192623058159290449166151443132545642743315116934375410512834014.13%3134984.35%4917155658.93%867160454.05%41573056.85%13539561156371627322