Sound Tigers

GP: 52 | W: 23 | L: 24 | OTL: 5 | P: 51
GF: 118 | GA: 133 | PP%: 12.95% | PK%: 89.27%
DG: Patrick Pichette | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #573 vs Stars
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 Barre-BouletX100.00655588625580846780636860654444675000232759,258$
2Janne KuokkanenXX100.00756989766971736780676267595050675000221925,000$
3Matthew Nieto (R)XX100.006542968169658462356560852569726946002711,975,000$
4Jay BeagleX100.007845807480637355966056962573776750003412,000,000$
5Jordan WealXXX100.006942907163657376616270647561626950002811,750,000$
6Jimmy VeseyXX100.006953928078669061256366685965656850002732,425,000$
7Kristian VesalainenXX100.008277946277717459505658675544446450002121,491,667$
8Morgan GeekieX100.00696773626778826480596662634444663900212800,000$
9Reid BoucherXX100.00716976636972727350687368695757715000261688,000$
10Mark JankowskiX100.006142917577588559725459842559606550002541,675,000$
11Tobias RiederXX100.006541968467587858346058772567686650002712,250,000$
12Morgan Frost (R)X100.00594093856365777560705953254545645000213863,333$
13Joshua Norris (R)X100.007772887372646370806571676744447050002131,633,333$
14Kenny AgostinoX100.00767480677478816950617169675555705000281875,000$
15Erik BrannstromX100.006541848362657269255047662547476050002021,344,167$
16Kevin ConnautonX100.007576748076636461255746694464656050003011,000,000$
17Kevin ShattenkirkX100.007343848573768970256751667876786629003131,750,000$
18Jonathon MerrillX100.007544818277757059254948762567686150002811,375,000$
19Rasmus AnderssonX100.00694377867779927025584970256061635000234863,333$
Rayé
1German RubtsovX100.007267857167565852655346604444445550002121,106,666$
2Brandon Hagel (R)X100.00686381686378845850496260594444625000213950,000$
3Ryan McLeod (R)X100.00807688617672775468574765454444585000203925,000$
4Brandon HickeyX100.00787584637551534325314061384444505000242925,000$
5Lucas JohansenX100.00756792606750514725403960374444515000222925,000$
6Urho VaakanainenX100.007569897869596347253742604044445350002121,302,500$
7Oliver KylingtonX100.00714289796762715825494862255555585000233863,333$
8Patrick SieloffX100.00777580617559634625364161394444515000262700,000$
9Evan Bouchard (R)X100.007573786673656758255546634444445850002031,627,500$
MOYENNE D'ÉQUIPE100.0072598573716774614756556745545462490
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
1Garret Sparks100.0056546883586053605958304747575000
2Ukko-Pekka Luukkonen (R)100.0048627882434850544647304444505000
Rayé
MOYENNE D'ÉQUIPE100.005258738351545257535330464654500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards75808569787371USA55312,500,000$


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
1Janne KuokkanenSound Tigers (NYI)C/LW52173855-226057179198551098.59%10100219.2732124552490005553259.98%104700001.1011000553
2Kenny AgostinoSound Tigers (NYI)LW52322153-47201111532537519112.65%23102419.7017623872540000593442.55%4700001.0302000941
3Jordan WealSound Tigers (NYI)C/LW/RW52191534-86315106148209481069.09%21113021.7468146124000021927149.59%133500000.6015012437
4Tobias RiederSound Tigers (NYI)LW/RW52131629-6461057133104329912.50%992017.717411422340110643142.24%11600000.6314100122
5Kevin ConnautonSound Tigers (NYI)D5251621-14755834147202510.64%2399919.22459401960000124110.00%000000.4200100031
6Mark JankowskiSound Tigers (NYI)C528917-1538105014312638956.35%2780215.430000001141181157.33%69600000.4200002140
7Morgan FrostSound Tigers (NYI)C529716-171403713010236778.82%475414.51000000000102054.90%10200000.4200000011
8Jonathon MerrillSound Tigers (NYI)D5221315-1460083606918322.90%62100519.34167511990000126000.00%000000.3000000001
9Kevin ShattenkirkSound Tigers (NYI)D3301010-22205535259140.00%2177223.42022231470000148000.00%000000.2600000011
10Ryan MurrayIslandersD7167-1201814537.14%415422.021341032011141000.00%000000.9100000010
11Erik BrannstromSound Tigers (NYI)D31231402461516.67%35819.49101622000015010.00%000001.0300000200
12Oliver KylingtonSound Tigers (NYI)D3022100532320.00%25919.69011122000016000.00%000000.6800000000
13Kristian VesalainenSound Tigers (NYI)LW/RW3011075321240.00%05016.68000123000000062.50%800000.4000010000
Stats d'équipe Total ou en Moyenne465107156263-8142945650103911563427629.26%209873418.78405696377162203312972201154.28%335100000.60312224222417
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
1Jake OettingerIslanders49212340.8692.572798441209130300.72218490312
2Garret SparksSound Tigers (NYI)112110.9071.7234801101080000.0000352100
Stats d'équipe Total ou en Moyenne60232450.8732.4831464513010210300.722185252412


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 RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex Barre-BouletSound Tigers (NYI)C231997-05-20No154 Lbs5 ft9NoNoNo2Pro & Farm759,258$275,537$759,258$275,537$0$0$No759,258$Lien
Brandon HagelSound Tigers (NYI)LW211998-08-26Yes174 Lbs5 ft11NoNoNo3Pro & Farm950,000$344,758$925,000$335,685$0$0$No925,000$925,000$Lien
Brandon HickeySound Tigers (NYI)D241996-04-13No201 Lbs6 ft2NoNoNo2Pro & Farm925,000$335,685$450,000$163,306$0$0$No925,000$Lien
Erik BrannstromSound Tigers (NYI)D201999-09-02No173 Lbs5 ft10NoNoNo2Pro & Farm1,344,167$487,803$450,000$163,306$0$0$No1,344,167$Lien
Evan BouchardSound Tigers (NYI)D201999-10-20Yes194 Lbs6 ft3NoNoNo3Pro & Farm1,627,500$590,625$1,627,500$590,625$0$0$No1,627,500$1,627,500$
Garret SparksSound Tigers (NYI)G261993-06-28No210 Lbs6 ft3NoNoNo3Pro & Farm675,000$244,960$675,000$244,960$0$0$No675,000$675,000$Lien
German RubtsovSound Tigers (NYI)C211998-06-27No178 Lbs6 ft2NoNoNo2Pro & Farm1,106,666$401,613$450,000$163,306$0$0$No1,106,666$Lien
Janne KuokkanenSound Tigers (NYI)C/LW221998-05-25No188 Lbs6 ft1NoNoNo1Pro & Farm925,000$335,685$925,000$335,685$0$0$NoLien
Jay BeagleSound Tigers (NYI)C341985-10-16No218 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$725,806$2,000,000$725,806$0$0$NoLien
Jimmy VeseySound Tigers (NYI)LW/RW271993-05-26No206 Lbs6 ft3NoNoNo3Pro & Farm2,425,000$880,040$2,275,000$825,605$0$0$No2,275,000$2,275,000$Lien
Jonathon MerrillSound Tigers (NYI)D281992-02-03No205 Lbs6 ft3NoNoNo1Pro & Farm1,375,000$498,992$1,375,000$498,992$0$0$NoLien
Jordan WealSound Tigers (NYI)C/LW/RW281992-04-14No179 Lbs5 ft10NoNoNo1Pro & Farm1,750,000$635,081$1,750,000$635,081$0$0$NoLien
Joshua NorrisSound Tigers (NYI)C211999-05-05Yes192 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$592,742$1,633,333$592,742$0$0$No1,633,333$1,633,333$
Kenny AgostinoSound Tigers (NYI)LW281992-04-30No200 Lbs6 ft1NoNoNo1Pro & Farm875,000$317,540$875,000$317,540$0$0$NoLien
Kevin ConnautonSound Tigers (NYI)D301990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$362,903$1,000,000$362,903$0$0$NoLien
Kevin ShattenkirkSound Tigers (NYI)D311989-01-29No200 Lbs6 ft0NoNoNo3Pro & Farm1,750,000$635,081$1,750,000$635,081$0$0$No1,750,000$1,750,000$Lien
Kristian VesalainenSound Tigers (NYI)LW/RW211999-06-01No207 Lbs6 ft3NoNoNo2Pro & Farm1,491,667$541,331$450,000$163,306$0$0$No1,491,667$Lien
Lucas JohansenSound Tigers (NYI)D221997-11-16No176 Lbs6 ft2NoNoNo2Pro & Farm925,000$335,685$450,000$163,306$0$0$No925,000$Lien
Mark JankowskiSound Tigers (NYI)C251994-09-13No202 Lbs6 ft4NoNoNo4Pro & Farm1,675,000$607,863$1,675,000$607,863$0$0$No1,675,000$1,675,000$1,675,000$Lien
Matthew NietoSound Tigers (NYI)LW/RW271992-11-05Yes190 Lbs5 ft11NoNoNo1Pro & Farm1,975,000$716,734$1,975,000$716,734$0$0$NoLien
Morgan FrostSound Tigers (NYI)C211999-05-14Yes170 Lbs5 ft11NoNoNo3Pro & Farm863,333$313,306$863,333$313,306$0$0$No863,333$863,333$
Morgan GeekieSound Tigers (NYI)C211998-07-20No179 Lbs6 ft2NoNoNo2Pro & Farm800,000$290,323$450,000$163,306$0$0$No800,000$Lien
Oliver KylingtonSound Tigers (NYI)D231997-05-19No183 Lbs6 ft0NoNoNo3Pro & Farm863,333$313,306$863,333$313,306$0$0$No863,333$863,333$Lien
Patrick SieloffSound Tigers (NYI)D261994-05-14No205 Lbs6 ft1NoNoNo2Pro & Farm700,000$254,032$700,000$254,032$0$0$No700,000$Lien
Rasmus AnderssonSound Tigers (NYI)D231996-10-26No214 Lbs6 ft1NoNoNo4Pro & Farm863,333$313,306$863,333$313,306$0$0$No863,333$863,333$863,333$Lien
Reid BoucherSound Tigers (NYI)LW/RW261993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm688,000$249,677$688,000$249,677$0$0$NoLien
Ryan McLeodSound Tigers (NYI)C201999-09-21Yes201 Lbs6 ft3NoNoNo3Pro & Farm925,000$335,685$925,000$335,685$0$0$No925,000$925,000$
Tobias RiederSound Tigers (NYI)LW/RW271993-01-09No186 Lbs5 ft11NoNoNo1Pro & Farm2,250,000$816,532$2,250,000$816,532$0$0$NoLien
Ukko-Pekka LuukkonenSound Tigers (NYI)G211999-03-09Yes196 Lbs6 ft4NoNoNo2Pro & Farm925,000$335,685$450,000$163,306$0$0$No925,000$Lien
Urho VaakanainenSound Tigers (NYI)D211999-01-01No187 Lbs6 ft1NoNoNo2Pro & Farm1,302,500$472,681$450,000$163,306$0$0$No1,302,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3024.27192 Lbs6 ft12.131,245,603$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan WealTobias Rieder35122
2Kenny AgostinoJanne Kuokkanen30122
3Morgan FrostMark Jankowski25122
4Jordan WealMorgan Frost10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathon MerrillKevin Connauton35122
230122
325122
4Jonathon MerrillKevin Connauton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan WealTobias Rieder60122
2Kenny AgostinoJanne Kuokkanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathon MerrillKevin Connauton60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Weal60122
2Tobias RiederKenny Agostino40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathon MerrillKevin Connauton60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jordan Weal60122Jonathon MerrillKevin Connauton60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jordan Weal60122
2Tobias RiederKenny Agostino40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jonathon MerrillKevin Connauton60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan WealTobias RiederJonathon MerrillKevin Connauton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan WealTobias RiederJonathon MerrillKevin Connauton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Mark Jankowski, Mark Jankowski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Jordan Weal, , Tobias Rieder, Kenny Agostino, Janne Kuokkanen
Gardien
#1 : , #2 : Garret Sparks


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
1Admirals201000105501010000012-11000001043120.500561100354437347421385429324318182910220.00%90100.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
2Bruins1010000014-3000000000001010000014-300.000123003544373224213854293229817174125.00%6183.33%0862157954.59%697138250.43%36972051.25%12829311279377588284
3Condors2110000024-2000000000002110000024-220.5002350135443734742138542932371518368112.50%8275.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
4Crunch1010000001-11010000001-10000000000000.0000000035443733442138542932204620900.00%3166.67%0862157954.59%697138250.43%36972051.25%12829311279377588284
5Flames11000000312110000003120000000000021.00034700354437328421385429321048148225.00%40100.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
6Griffins1010000013-2000000000001010000013-200.0001230035443732342138542932254814800.00%4250.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
7IceHogs10000010321000000000001000001032121.00032500354437322421385429321871818600.00%9188.89%0862157954.59%697138250.43%36972051.25%12829311279377588284
8Marlies33000000927110000002022200000072561.0009132201354437376421385429325917424816318.75%21290.48%1862157954.59%697138250.43%36972051.25%12829311279377588284
9Monsters623000012023-3321000001082302000011015-550.4172033530035443731404213854293299265211038615.79%24291.67%1862157954.59%697138250.43%36972051.25%12829311279377588284
10Moose22000000633110000004221100000021141.000610160035443734642138542932251218251715.88%90100.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
11Penguins1247000012334-11742000011415-150500000919-1090.37523376001354437326842138542932253731472108567.06%63493.65%0862157954.59%697138250.43%36972051.25%12829311279377588284
12Phantoms6310010117161411001011113-22200000063380.6671727440135443731754213854293214342668047817.02%26388.46%0862157954.59%697138250.43%36972051.25%12829311279377588284
13Rampage11000000514000000000001100000051421.000581300354437336421385429321668236233.33%4175.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
14Rocket41300000312-92020000018-72110000024-220.2503580035443739042138542932692167722627.69%23578.26%0862157954.59%697138250.43%36972051.25%12829311279377588284
15Senators1010000024-2000000000001010000024-200.00023500354437329421385429322821024400.00%50100.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
16Sharks1010000013-2000000000001010000013-200.00012300354437319421385429321751216200.00%6183.33%0862157954.59%697138250.43%36972051.25%12829311279377588284
17Soldiers11000000321110000003210000000000021.000347003544373174213854293217810137228.57%50100.00%0862157954.59%697138250.43%36972051.25%12829311279377588284
Total52212400223118133-1525139001025756127815001216177-16510.49011818630405354437312504213854293210213225918623324312.95%2612889.27%2862157954.59%697138250.43%36972051.25%12829311279377588284
18Wolf Pack5220010012102321000008442010010046-250.500122234013544373103421385429329646607525728.00%29293.10%0862157954.59%697138250.43%36972051.25%12829311279377588284
19Wolves1010000023-1000000000001010000023-100.0002350035443732842138542932174618600.00%3166.67%0862157954.59%697138250.43%36972051.25%12829311279377588284
_Since Last GM Reset52212400223118133-1525139001025756127815001216177-16510.49011818630405354437312504213854293210213225918623324312.95%2612889.27%2862157954.59%697138250.43%36972051.25%12829311279377588284
_Vs Conference12550002028262321000008629340002020200140.583284068013544373285421385429322157911619270811.43%57885.96%0862157954.59%697138250.43%36972051.25%12829311279377588284
_Vs Division83300010171613110000085352200010911-280.50017254201354437318742138542932132547412045613.33%36391.67%0862157954.59%697138250.43%36972051.25%12829311279377588284

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5251W11181863041250102132259186205
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5221240223118133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513901025756
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2781501216177
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3324312.95%2612889.27%2
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
421385429323544373
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
862157954.59%697138250.43%36972051.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12829311279377588284


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
1 - 2020-09-275Penguins1Sound Tigers2WSommaire du Match
2 - 2020-09-2814Sound Tigers2Penguins3LSommaire du Match
4 - 2020-09-3029Penguins1Sound Tigers2WSommaire du Match
5 - 2020-10-0140Sound Tigers1Penguins5LSommaire du Match
7 - 2020-10-0355Crunch1Sound Tigers0LSommaire du Match
9 - 2020-10-0565Penguins1Sound Tigers2WSommaire du Match
10 - 2020-10-0674Sound Tigers5Rampage1WSommaire du Match
12 - 2020-10-0885Sound Tigers2Wolf Pack3LSommaire du Match
14 - 2020-10-1094Penguins0Sound Tigers3WSommaire du Match
16 - 2020-10-12103Sound Tigers3Penguins4LSommaire du Match
18 - 2020-10-14116Monsters4Sound Tigers1LSommaire du Match
20 - 2020-10-16129Sound Tigers2Phantoms0WSommaire du Match
22 - 2020-10-18140Wolf Pack3Sound Tigers1LSommaire du Match
23 - 2020-10-19146Sound Tigers4Monsters5LSommaire du Match
24 - 2020-10-20158Penguins6Sound Tigers2LSommaire du Match
25 - 2020-10-21167Sound Tigers3Penguins6LSommaire du Match
26 - 2020-10-22177Sound Tigers2Senators4LSommaire du Match
28 - 2020-10-24188Wolf Pack0Sound Tigers4WSommaire du Match
30 - 2020-10-26202Sound Tigers2Monsters3LXXSommaire du Match
32 - 2020-10-28212Rocket3Sound Tigers0LSommaire du Match
34 - 2020-10-30225Moose2Sound Tigers4WSommaire du Match
36 - 2020-11-01235Sound Tigers4Phantoms3WSommaire du Match
38 - 2020-11-03244Sound Tigers2Wolf Pack3LXSommaire du Match
40 - 2020-11-05255Penguins3Sound Tigers1LSommaire du Match
42 - 2020-11-07268Wolf Pack1Sound Tigers3WSommaire du Match
44 - 2020-11-09278Sound Tigers0Rocket3LSommaire du Match
45 - 2020-11-10290Sound Tigers4Monsters7LSommaire du Match
46 - 2020-11-11297Sound Tigers0Condors4LSommaire du Match
47 - 2020-11-12307Rocket5Sound Tigers1LSommaire du Match
48 - 2020-11-13316Sound Tigers1Griffins3LSommaire du Match
50 - 2020-11-15325Marlies0Sound Tigers2WSommaire du Match
51 - 2020-11-16339Sound Tigers2Moose1WSommaire du Match
52 - 2020-11-17349Sound Tigers5Marlies1WSommaire du Match
53 - 2020-11-18353Phantoms2Sound Tigers3WSommaire du Match
55 - 2020-11-20370Phantoms4Sound Tigers3LSommaire du Match
56 - 2020-11-21384Sound Tigers0Penguins1LSommaire du Match
57 - 2020-11-22393Sound Tigers1Sharks3LSommaire du Match
58 - 2020-11-23397Phantoms4Sound Tigers3LXXSommaire du Match
60 - 2020-11-25415Penguins3Sound Tigers2LXXSommaire du Match
61 - 2020-11-26429Sound Tigers2Marlies1WSommaire du Match
63 - 2020-11-28436Monsters3Sound Tigers5WSommaire du Match
64 - 2020-11-29446Sound Tigers4Admirals3WXXSommaire du Match
65 - 2020-11-30455Sound Tigers1Bruins4LSommaire du Match
67 - 2020-12-02467Admirals2Sound Tigers1LSommaire du Match
68 - 2020-12-03482Soldiers2Sound Tigers3WSommaire du Match
70 - 2020-12-05492Sound Tigers3IceHogs2WXXSommaire du Match
71 - 2020-12-06504Flames1Sound Tigers3WSommaire du Match
73 - 2020-12-08519Monsters1Sound Tigers4WSommaire du Match
74 - 2020-12-09528Sound Tigers2Wolves3LSommaire du Match
75 - 2020-12-10535Sound Tigers2Rocket1WSommaire du Match
77 - 2020-12-12544Phantoms3Sound Tigers2LXSommaire du Match
79 - 2020-12-14564Sound Tigers2Condors0WSommaire du Match
80 - 2020-12-15573Stars-Sound Tigers-
81 - 2020-12-16585Sound Tigers-Bruins-
83 - 2020-12-18595Sound Tigers-Stars-
85 - 2020-12-20604Senators-Sound Tigers-
86 - 2020-12-21613Monsters-Sound Tigers-
87 - 2020-12-22626Rampage-Sound Tigers-
89 - 2020-12-24641Condors-Sound Tigers-
91 - 2020-12-26652Sound Tigers-Crunch-
92 - 2020-12-27663Sound Tigers-Wolf Pack-
94 - 2020-12-29673IceHogs-Sound Tigers-
95 - 2020-12-30682Sound Tigers-Senators-
96 - 2020-12-31691Sound Tigers-Monarchs-
97 - 2021-01-01701Sharks-Sound Tigers-
99 - 2021-01-03718Marlies-Sound Tigers-
100 - 2021-01-04728Sound Tigers-Monsters-
101 - 2021-01-05733Sound Tigers-Soldiers-
102 - 2021-01-06746Griffins-Sound Tigers-
104 - 2021-01-08762Griffins-Sound Tigers-
105 - 2021-01-09773Crunch-Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10782Sound Tigers-Moose-
107 - 2021-01-11789Sound Tigers-Flames-
109 - 2021-01-13804Wolf Pack-Sound Tigers-
110 - 2021-01-14814Sound Tigers-Phantoms-
112 - 2021-01-16823Sound Tigers-Penguins-
113 - 2021-01-17832Wolves-Sound Tigers-
114 - 2021-01-18839Sound Tigers-Phantoms-
116 - 2021-01-20855Monarchs-Sound Tigers-
117 - 2021-01-21864Sound Tigers-Wolf Pack-
118 - 2021-01-22876Rocket-Sound Tigers-
121 - 2021-01-25893Bruins-Sound Tigers-



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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
10,624,303$ 3,736,809$ 3,197,308$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,660,629$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 45 130,942$ 5,892,390$




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