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Sound Tigers
GP: 80 | W: 43 | L: 31 | OTL: 6 | P: 92
GF: 346 | GA: 327 | PP%: 21.75% | PK%: 80.99%
DG: Maxime Alain | Morale : 49 | Moyenne d’équipe : 64
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Centre de jeu
Sound Tigers
43-31-6, 92pts
7
FINAL
6 Marlies
42-34-4, 88pts
Team Stats
SOW1StreakOTW1
21-18-1Home Record24-15-1
22-13-5Away Record18-19-3
4-4-2Last 10 Games3-7-0
4.33Buts par match 4.26
4.09Buts contre par match 4.33
21.75%Pourcentage en avantage numérique25.31%
80.99%Pourcentage en désavantage numérique73.98%
Wolves
36-32-12, 84pts
2
FINAL
3 Sound Tigers
43-31-6, 92pts
Team Stats
SOL1StreakSOW1
16-16-8Home Record21-18-1
20-16-4Away Record22-13-5
5-2-3Last 10 Games4-4-2
3.75Buts par match 4.33
4.21Buts contre par match 4.09
20.49%Pourcentage en avantage numérique21.75%
81.27%Pourcentage en désavantage numérique80.99%
Meneurs d'équipe
Buts
Alex Tuch
57
Passes
Alex Tuch
71
Points
Alex Tuch
128
Plus/Moins
Pavel Kraskovsky
28
Victoires
Pavel Francouz
34
Pourcentage d’arrêts
Pavel Francouz
0.892

Statistiques d’équipe
Buts pour
346
4.33 GFG
Tirs pour
2633
32.91 Avg
Pourcentage en avantage numérique
21.8%
62 GF
Début de zone offensive
35.7%
Buts contre
327
4.09 GAA
Tirs contre
2716
33.95 Avg
Pourcentage en désavantage numérique
81.0%%
65 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralMaxime Alain
EntraîneurAndré Tourigny
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,809
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure22
Limite contact 53 / 250
Espoirs0


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 SPÂgeContratSalaire
1Alex Tuch (R)X100.0073318768877676707676825675604863697202121,000,000$
2Ryan Hartman (R)X100.008148757475688269707679707061534726720232900,000$
3Christian Fischer (R)X100.007433816784726770707286506650446619690203900,000$
4Garret RossX100.007744797573647581587268636257523569690251950,000$
5Ben Thomson (R)X100.007145696981627273637771626249503969680243750,000$
6Borna RendulicX100.008043697274657470746970657253493669680251750,000$
7Joe Labate (R)X100.007231737173666673696875606952503618680243750,000$
8Pavel Kraskovsky (R)X100.006624777364696273707268545946455169650212550,000$
9Rhett Gardner (R)X100.007843706970587862626574605846454769650211500,000$
10Ross Colton (R)X100.006537796081716463707373546346465469650211500,000$
11Tyrell Goulbourne (R)X100.007736697373586770516461597050493835640233600,000$
12Josh ArchibaldX100.005330856663726160616556625355552769620251550,000$
13Ben Johnson (R)X100.006840646863616864566962425847473953600232450,000$
14Garret Pilon (R)X100.006139706266616461645964535941415753600191500,000$
15Greg PaterynX100.007337637273786767587066756067542725700271500,000$
16Gabriel Carlsson (R)X100.006236917170607167367351825150446456690203950,000$
17Slater Koekkoek (R)X100.007021887065757670546466735955494354690232750,000$
18Miro Heiskanen (R)X100.007243776167736568526662625340409243650182500,000$
19Nick Blankenburg (R)X100.007537626576675459326460684143426960650192500,000$
20Alexander Yelesin (R)X100.007133676464655354346650615345474320610211500,000$
Rayé
1Brad RossX100.006441636069536967566758545647472751600251450,000$
2Blake Speers (R)X100.005933635366555260536372415342425820570201400,000$
3Brandon Gignac (R)X100.005237696054606566667055395044445220570201500,000$
4Noah Cates (R)X100.007735555768447660435263554840407019560182500,000$
5Alex Steeves (R)X100.007336596361466262426054435540406519550182500,000$
6Jakub Galvas (R)X100.005824706560655847285037714540407044580182500,000$
7Casey Staum (R)X100.005835685258495647325642524641415119530192300,000$
MOYENNE D’ÉQUIPE100.00693672667063676556676459584846514564
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 SPÂgeContratSalaire
1Pavel Francouz100.00926575847963668274628758594757730272650,000$
2Chris Driedger100.00746372585878646851825745454024640233600,000$
Rayé
1Stuart Skinner (R)100.00715368737559476172587542437115630192500,000$
2Sean Maguire100.00687163626165636363667350513219630242550,000$
MOYENNE D’ÉQUIPE100.0076637069686660696567734950482966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
André Tourigny75586370346247Can601750,000$


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’équipePOSGP 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
1Alex TuchSound Tigers (NyI)LW805771128261201021183279318817.43%52184523.06921304123931482983249.00%2517838051.394100001757
2Garret RossSound Tigers (NyI)LW80425092-92001261002878115914.63%37138817.36991827195123101515246.58%735118111.3318000736
3Borna RendulicSound Tigers (NyI)RW8035458031040134882017913917.41%36143117.8912112331230000051143.33%1204027011.1246000234
4Pavel KraskovskySound Tigers (NyI)C8036427828300100922085512617.31%29122215.2968142310701131024247.36%12903116001.2802000482
5Ryan HartmanSound Tigers (NyI)C452948777575671122047911314.22%25100922.44612182612612351467049.34%15123134021.5234010471
6Ben ThomsonSound Tigers (NyI)LW802231535280103821544512514.29%24102712.8401101501121093146.34%413717011.0311000321
7James LivingstoneSound Tigers (NyI)RW80193453-744077101134488714.18%30124015.5021214101710110570251.72%872917000.8502000111
8Joe LabateSound Tigers (NyI)C52212950234010073143508414.69%2189017.133581012511210765050.42%7122914001.1201000123
9Gabriel CarlssonSound Tigers (NyI)D6872532171404911010738366.54%118178526.26369192010332244120.00%02176000.3600000022
10Rhett GardnerSound Tigers (NyI)C80131831-2436010284125296210.40%2196512.072467710002511044.35%4962120000.6400000220
11Slater KoekkoekSound Tigers (NyI)D673262915120791047234374.17%98159223.7723571840111217100.00%02253000.3601000012
12Miro HeiskanenSound Tigers (NyI)D775232818255891126624347.58%82146419.0231471370000179000.00%01653000.3800010001
13Nick BlankenburgSound Tigers (NyI)D76322251046078825922235.08%86123016.200445860001104000.00%0837000.4100000000
14Dylan McIlrathIslandersD3851520-531576856717297.46%70105327.72426121300000139200.00%01845000.3801100020
15Ross ColtonSound Tigers (NyI)RW80128206100544474234516.22%1982110.2700003000080144.83%291914000.4912000001
16Tyrell GoulbourneSound Tigers (NyI)LW579918-614049309434719.57%74487.8800002000001027.27%11193000.8001000011
17Christian FischerIslandersRW135101511140161342151511.90%525419.59022233101131055.00%2077011.1801000011
18Taylor AronsonSound Tigers (NyI)D3031215612030473112169.68%4669823.30112275000195000.00%01020000.4300000100
19Josh ArchibaldSound Tigers (NyI)RW8031114-10023406518284.62%155416.7700009000000020.00%1099000.5200000001
20Ben JohnsonSound Tigers (NyI)C672911-53403816388215.26%33685.50000040001470044.90%14743000.6000000000
21Greg PaterynSound Tigers (NyI)D273811-650060405016126.00%3962423.12112479000177100.00%01122000.3500000100
22Jakub GalvasSound Tigers (NyI)D50088-5320163523950.00%3154110.8200008000021000.00%0217000.3000000000
23Garret PilonSound Tigers (NyI)C67347110026152281213.64%32684.0100001000001045.45%11041000.5200000000
24Alexander YelesinSound Tigers (NyI)D40055-2160372412770.00%3451312.8400005000032000.00%0111000.1900000000
25Brad RossSound Tigers (NyI)LW6541516026122991713.79%42483.83000031012290025.00%2463000.4000000001
26Casey StaumSound Tigers (NyI)D22011-812012137610.00%1126712.170000100008000.00%007000.0700000000
27Blake SpeersSound Tigers (NyI)C32000000000000.00%0180.5700000000011000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne16133415659067870315166916722641859149212.91%9462376414.7363103166233225181321502222371347.84%49335245821110.761440120434035
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
1Pavel FrancouzSound Tigers (NyI)64341960.8923.6535682021720001106610.76534634044
2Chris DriedgerSound Tigers (NyI)174700.8534.946680055375187010.00%0945000
3Sean MaguireSound Tigers (NyI)93400.8325.25354003118599000.00%0231000
4Stuart SkinnerSound Tigers (NyI)62100.8824.20257001815387011.000260000
Statistiques d’équipe totales ou en moyenne96433160.8823.974848203212713147963368080044


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 Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex SteevesSound Tigers (NyI)C181999-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Alex TuchSound Tigers (NyI)LW211996-01-01Yes222 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$0$0$No1,500,000$Lien
Alexander YelesinSound Tigers (NyI)D211996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Ben JohnsonSound Tigers (NyI)C231994-01-01Yes188 Lbs5 ft11NoNoNo2Pro & Farm450,000$0$0$No500,000$Lien
Ben ThomsonSound Tigers (NyI)LW241993-01-01Yes205 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No800,000$900,000$Lien
Blake SpeersSound Tigers (NyI)C201997-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm400,000$0$0$NoLien
Borna RendulicSound Tigers (NyI)RW251992-01-01No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Brad RossSound Tigers (NyI)LW251992-01-01No175 Lbs6 ft0NoNoNo1Pro & Farm450,000$0$0$No
Brandon GignacSound Tigers (NyI)C201997-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Casey StaumSound Tigers (NyI)D191998-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Chris DriedgerSound Tigers (NyI)G231994-01-01No187 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No650,000$700,000$Lien
Christian FischerIslandersRW201997-01-01Yes214 Lbs6 ft2NoNoNo3Pro & Farm900,000$900,000$0$No995,000$1,500,000$Lien
Gabriel CarlssonSound Tigers (NyI)D201997-01-01Yes192 Lbs6 ft5NoNoNo3Pro & Farm950,000$0$0$No1,300,000$1,800,000$Lien
Garret PilonSound Tigers (NyI)C191998-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Garret RossSound Tigers (NyI)LW251992-01-01No169 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$NoLien
Greg PaterynSound Tigers (NyI)D271990-01-01No214 Lbs6 ft2NoNoNo1Farm Only500,000$0$0$No
Jakub GalvasSound Tigers (NyI)D181999-01-01Yes161 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joe LabateSound Tigers (NyI)C241993-01-01Yes190 Lbs6 ft4NoNoNo3Pro & Farm750,000$0$0$No800,000$900,000$
Josh ArchibaldSound Tigers (NyI)RW251992-01-01No176 Lbs5 ft10NoNoNo1Pro & Farm550,000$0$0$No
Miro HeiskanenSound Tigers (NyI)D181999-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nick BlankenburgSound Tigers (NyI)D191998-01-01Yes152 Lbs5 ft8NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Noah CatesSound Tigers (NyI)LW181999-01-01Yes179 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Pavel FrancouzSound Tigers (NyI)G271990-01-01No179 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No850,000$Lien
Pavel KraskovskySound Tigers (NyI)C211996-01-01Yes194 Lbs6 ft4NoNoNo2Pro & Farm550,000$0$0$No550,000$Lien
Rhett GardnerSound Tigers (NyI)C211996-01-01Yes225 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Ross ColtonSound Tigers (NyI)RW211996-01-01Yes209 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Ryan HartmanSound Tigers (NyI)C231994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Sean MaguireSound Tigers (NyI)G241993-01-01No193 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No550,000$
Slater KoekkoekSound Tigers (NyI)D231994-01-01Yes184 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No850,000$Lien
Stuart SkinnerSound Tigers (NyI)G191998-01-01Yes206 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tyrell GoulbourneSound Tigers (NyI)LW231994-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No650,000$700,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3121.74190 Lbs6 ft11.84606,452$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex TuchRyan HartmanChristian Fischer40122
2Garret RossJoe LabateBorna Rendulic30122
3Ben ThomsonPavel KraskovskyRoss Colton20122
4Tyrell GoulbourneRhett GardnerJosh Archibald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynGabriel Carlsson40122
2Slater KoekkoekMiro Heiskanen30122
3Nick BlankenburgAlexander Yelesin20122
4Greg PaterynGabriel Carlsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex TuchRyan HartmanChristian Fischer60122
2Garret RossJoe LabateBorna Rendulic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynGabriel Carlsson60122
2Slater KoekkoekMiro Heiskanen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan HartmanAlex Tuch60122
2Joe LabateGarret Ross40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynGabriel Carlsson60122
2Slater KoekkoekMiro Heiskanen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Hartman60122Greg PaterynGabriel Carlsson60122
2Joe Labate40122Slater KoekkoekMiro Heiskanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan HartmanAlex Tuch60122
2Joe LabateGarret Ross40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynGabriel Carlsson60122
2Slater KoekkoekMiro Heiskanen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TuchRyan HartmanChristian FischerGreg PaterynGabriel Carlsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TuchRyan HartmanChristian FischerGreg PaterynGabriel Carlsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Borna Rendulic, Ben Thomson, Joe LabateBorna Rendulic, Ben ThomsonBorna Rendulic
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Miro Heiskanen, Nick Blankenburg, Alexander YelesinMiro HeiskanenMiro Heiskanen, Nick Blankenburg
Tirs de pénalité
Alex Tuch, Ryan Hartman, Christian Fischer, Garret Ross, Borna Rendulic
Gardien
#1 : Pavel Francouz, #2 : Chris Driedger, #3 : 0


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
TotalDomicileVisiteur
# 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
1Admirals2020000047-31010000023-11010000024-200.000471100103120113176985986689056602616357114.29%8187.50%0833176247.28%869180848.06%658136348.28%165290517357721467712
2Barracuda21100000111101010000047-31100000074320.50011172800103120113176085986689056752318566116.67%9455.56%0833176247.28%869180848.06%658136348.28%165290517357721467712
3Bears64100001322111321000002013732000001128490.7503256880010312011317191859866890561938065132311032.26%30293.33%0833176247.28%869180848.06%658136348.28%165290517357721467712
4Comets31200000811-31010000014-32110000077020.333813210010312011317968598668905698343059400.00%15193.33%0833176247.28%869180848.06%658136348.28%165290517357721467712
5Condors21100000121021010000068-21100000062420.50012203200103120113177885986689056642420388337.50%10370.00%1833176247.28%869180848.06%658136348.28%165290517357721467712
6Crunch413000001619-320200000511-621100000118320.25016284400103120113171358598668905617149347711218.18%17852.94%0833176247.28%869180848.06%658136348.28%165290517357721467712
7Devils723000113235-3312000001517-2411000111718-170.500324779001031201131722185986689056244736813922418.18%33778.79%0833176247.28%869180848.06%658136348.28%165290517357721467712
8Eagles312000001114-3211000009901010000025-320.333112031001031201131710285986689056982622641700.00%11463.64%0833176247.28%869180848.06%658136348.28%165290517357721467712
9Griffins2200000013211110000007161100000061541.000131932001031201131765859866890565624184210330.00%9188.89%0833176247.28%869180848.06%658136348.28%165290517357721467712
10Heat22000000734110000003121100000042241.00071219001031201131770859866890566734832300.00%4175.00%0833176247.28%869180848.06%658136348.28%165290517357721467712
11Icehogs623001002122-1312000001210231100100912-350.417213556001031201131718185986689056211765813815213.33%29389.66%1833176247.28%869180848.06%658136348.28%165290517357721467712
12Little Stars311000108802110000045-11000001043140.66781018001031201131782859866890561043418659111.11%9188.89%0833176247.28%869180848.06%658136348.28%165290517357721467712
13Marlies2200000014113110000007521100000076141.000142337001031201131766859866890566124142812650.00%7185.71%0833176247.28%869180848.06%658136348.28%165290517357721467712
14Monsters210010001587100010006511100000093641.00015233800103120113178185986689056652821536233.33%7357.14%1833176247.28%869180848.06%658136348.28%165290517357721467712
15Moose20100010910-1100000105411010000046-220.5009152400103120113176585986689056712222335360.00%11190.91%1833176247.28%869180848.06%658136348.28%165290517357721467712
16Penguins3110001010100210000108621010000024-240.6671013230010312011317978598668905611539225610220.00%10190.00%0833176247.28%869180848.06%658136348.28%165290517357721467712
17Phantoms20100100710-31010000046-21000010034-110.2507101710103120113176885986689056641918448112.50%9277.78%0833176247.28%869180848.06%658136348.28%165290517357721467712
18Punishers311010001416-221001000106410100000410-640.6671421350010312011317106859866890569237246311327.27%12466.67%0833176247.28%869180848.06%658136348.28%165290517357721467712
19Rampage32100000141311010000046-222000000107340.66714264000103120113178685986689056983624586116.67%12283.33%0833176247.28%869180848.06%658136348.28%165290517357721467712
20Reign22000000844110000004221100000042241.0008122000103120113176785986689056582514411119.09%7185.71%0833176247.28%869180848.06%658136348.28%165290517357721467712
21Rocket3110000115132110000009452010000169-330.5001528430010312011317113859866890569935326613430.77%16381.25%0833176247.28%869180848.06%658136348.28%165290517357721467712
22Senators312000001318-521100000912-31010000046-220.3331323361010312011317868598668905610932265410220.00%14378.57%0833176247.28%869180848.06%658136348.28%165290517357721467712
23Thunderbirds32100000151412110000089-11100000075240.6671524391010312011317115859866890568929226514642.86%11190.91%2833176247.28%869180848.06%658136348.28%165290517357721467712
24Wolfpack402020001521-61010000029-7301020001312140.5001528430010312011317130859866890561454626681300.00%13469.23%1833176247.28%869180848.06%658136348.28%165290517357721467712
25Wolves62100120221663100011097231100010139490.750223355001031201131720385986689056209636315823417.39%29389.66%1833176247.28%869180848.06%658136348.28%165290517357721467712
Total80333104363346327194016180213017317034017130223317315716920.5753465639093010312011317263385986689056271693870316642856221.75%3426580.99%8833176247.28%869180848.06%658136348.28%165290517357721467712
_Since Last GM Reset80333104363346327194016180213017317034017130223317315716920.5753465639093010312011317263385986689056271693870316642856221.75%3426580.99%8833176247.28%869180848.06%658136348.28%165290517357721467712
_Vs Conference48181903152197198-1249110112095102-7249802032102966550.5731973195161010312011317156485986689056165654641810041713319.30%2023881.19%4833176247.28%869180848.06%658136348.28%165290517357721467712
_Vs Division198500132867214943001104437710420002242357250.65886136222001031201131761585986689056646216196429761823.68%921286.96%1833176247.28%869180848.06%658136348.28%165290517357721467712

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8092SOW134656390926332716938703166430
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033314363346327
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4016182130173170
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017132233173157
Derniers 10 matchs
WLOTWOTL SOWSOL
241210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2856221.75%3426580.99%8
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
8598668905610312011317
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
833176247.28%869180848.06%658136348.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
165290517357721467712


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2022-10-2912Devils6Sound Tigers4BLSommaire du match
5 - 2022-10-3122Sound Tigers5Devils4AWSommaire du match
8 - 2022-11-0340Icehogs3Sound Tigers1BLSommaire du match
11 - 2022-11-0658Wolves1Sound Tigers3BWSommaire du match
13 - 2022-11-0865Sound Tigers6Devils5AWXXSommaire du match
16 - 2022-11-1185Little Stars1Sound Tigers3BWSommaire du match
17 - 2022-11-1291Sound Tigers2Icehogs7ALSommaire du match
19 - 2022-11-14100Sound Tigers5Wolves4AWXXSommaire du match
22 - 2022-11-17116Bears3Sound Tigers8BWSommaire du match
24 - 2022-11-19130Sound Tigers4Wolfpack3AWXSommaire du match
26 - 2022-11-21142Penguins4Sound Tigers5BWXXSommaire du match
29 - 2022-11-24155Sound Tigers5Bears2AWSommaire du match
31 - 2022-11-26165Senators9Sound Tigers4BLSommaire du match
35 - 2022-11-30183Sound Tigers5Comets3AWSommaire du match
37 - 2022-12-02195Bears3Sound Tigers6BWSommaire du match
40 - 2022-12-05211Sound Tigers2Bears3ALXXSommaire du match
42 - 2022-12-07219Sound Tigers2Wolves3ALSommaire du match
43 - 2022-12-08226Comets4Sound Tigers1BLSommaire du match
46 - 2022-12-11243Devils6Sound Tigers4BLSommaire du match
48 - 2022-12-13249Sound Tigers4Senators6ALSommaire du match
52 - 2022-12-17269Griffins1Sound Tigers7BWSommaire du match
55 - 2022-12-20283Sound Tigers4Little Stars3AWXXSommaire du match
59 - 2022-12-24299Punishers3Sound Tigers4BWXSommaire du match
61 - 2022-12-26311Sound Tigers5Bears3AWSommaire du match
63 - 2022-12-28321Sound Tigers2Admirals4ALSommaire du match
65 - 2022-12-30330Marlies5Sound Tigers7BWSommaire du match
67 - 2023-01-01344Sound Tigers2Penguins4ALSommaire du match
69 - 2023-01-03354Punishers3Sound Tigers6BWSommaire du match
71 - 2023-01-05367Sound Tigers9Monsters3AWSommaire du match
73 - 2023-01-07378Heat1Sound Tigers3BWSommaire du match
78 - 2023-01-12403Barracuda7Sound Tigers4BLSommaire du match
82 - 2023-01-16420Sound Tigers2Comets4ALSommaire du match
83 - 2023-01-17428Thunderbirds5Sound Tigers6BWSommaire du match
86 - 2023-01-20441Sound Tigers2Crunch4ALSommaire du match
88 - 2023-01-22453Senators3Sound Tigers5BWSommaire du match
90 - 2023-01-24462Sound Tigers6Condors2AWSommaire du match
92 - 2023-01-26476Phantoms6Sound Tigers4BLSommaire du match
94 - 2023-01-28490Sound Tigers4Heat2AWSommaire du match
96 - 2023-01-30498Sound Tigers7Thunderbirds5AWSommaire du match
97 - 2023-01-31508Crunch6Sound Tigers1BLSommaire du match
100 - 2023-02-03518Sound Tigers7Barracuda4AWSommaire du match
102 - 2023-02-05533Crunch5Sound Tigers4BLSommaire du match
106 - 2023-02-09555Sound Tigers4Punishers10ALSommaire du match
108 - 2023-02-11561Reign2Sound Tigers4BWSommaire du match
110 - 2023-02-13573Sound Tigers4Reign2AWSommaire du match
112 - 2023-02-15585Little Stars4Sound Tigers1BLSommaire du match
115 - 2023-02-18602Sound Tigers5Rampage3AWSommaire du match
117 - 2023-02-20606Sound Tigers4Moose6ALSommaire du match
119 - 2023-02-22617Icehogs6Sound Tigers4BLSommaire du match
121 - 2023-02-24629Sound Tigers6Wolves2AWSommaire du match
123 - 2023-02-26635Sound Tigers2Eagles5ALSommaire du match
124 - 2023-02-27645Bears7Sound Tigers6BLSommaire du match
127 - 2023-03-02661Sound Tigers3Phantoms4ALXSommaire du match
128 - 2023-03-03668Monsters5Sound Tigers6BWXSommaire du match
133 - 2023-03-08694Condors8Sound Tigers6BLSommaire du match
137 - 2023-03-12715Icehogs1Sound Tigers7BWSommaire du match
141 - 2023-03-16736Sound Tigers5Rampage4AWSommaire du match
143 - 2023-03-18744Rocket4Sound Tigers9BWSommaire du match
147 - 2023-03-22766Wolfpack9Sound Tigers2BLSommaire du match
151 - 2023-03-26786Devils5Sound Tigers7BWSommaire du match
153 - 2023-03-28799Sound Tigers3Devils5ALSommaire du match
156 - 2023-03-31812Moose4Sound Tigers5BWXXSommaire du match
158 - 2023-04-02821Sound Tigers3Rocket4ALXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2023-04-06839Rampage6Sound Tigers4BLSommaire du match
165 - 2023-04-09855Sound Tigers3Devils4ALXXSommaire du match
167 - 2023-04-11866Admirals3Sound Tigers2BLSommaire du match
169 - 2023-04-13874Sound Tigers6Griffins1AWSommaire du match
171 - 2023-04-15888Sound Tigers5Icehogs2AWSommaire du match
173 - 2023-04-17895Eagles1Sound Tigers5BWSommaire du match
177 - 2023-04-21917Penguins2Sound Tigers3BWSommaire du match
180 - 2023-04-24929Sound Tigers3Rocket5ALSommaire du match
183 - 2023-04-27943Eagles8Sound Tigers4BLSommaire du match
188 - 2023-05-02967Thunderbirds4Sound Tigers2BLSommaire du match
190 - 2023-05-04979Sound Tigers5Wolfpack4AWXSommaire du match
193 - 2023-05-07990Wolves4Sound Tigers3BLXSommaire du match
195 - 2023-05-09997Sound Tigers9Crunch4AWSommaire du match
196 - 2023-05-101001Sound Tigers2Icehogs3ALXSommaire du match
198 - 2023-05-121011Sound Tigers4Wolfpack5ALSommaire du match
202 - 2023-05-161023Sound Tigers7Marlies6AWSommaire du match
204 - 2023-05-181032Wolves2Sound Tigers3BWXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,59837,773
Assistance PCT93.25%94.43%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2809 - 93.64% 83,410$3,336,402$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,624,076$ 1,935,000$ 1,645,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,393$ 1,855,112$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,034$ 0$




Sound Tigers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Sound Tigers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Sound Tigers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Sound Tigers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Sound Tigers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA