Sound Tigers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Pichette | Morale : 50 | Moyenne d'Équipe : N/A
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$
3Blake Lizotte (R)X100.006741908159666969827159692551516750002232,072,472$
4Matthew Nieto (R)XX100.006542968169658462356560852569726946002711,975,000$
5Jay BeagleX100.007845807480637355966056962573776750003412,000,000$
6Jordan WealXXX100.006942907163657376616270647561626950002811,750,000$
7Jimmy VeseyXX100.006953928078669061256366685965656850002732,425,000$
8Kristian VesalainenXX100.008277946277717459505658675544446450002121,491,667$
9Morgan GeekieX100.00696773626778826480596662634444663900212800,000$
10Reid BoucherXX100.00716976636972727350687368695757715000261688,000$
11Mark JankowskiX100.006142917577588559725459842559606550002541,675,000$
12Tobias RiederXX100.006541968467587858346058772567686650002712,250,000$
13Morgan Frost (R)X100.00594093856365777560705953254545645000213863,333$
14Joshua Norris (R)X100.007772887372646370806571676744447050002131,633,333$
15Kenny AgostinoX100.00767480677478816950617169675555705000281875,000$
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$
5Erik BrannstromX100.006541848362657269255047662547476050002021,344,167$
6Lucas JohansenX100.00756792606750514725403960374444515000222925,000$
7Urho VaakanainenX100.007569897869596347253742604044445350002121,302,500$
8Oliver KylingtonX100.00714289796762715825494862255555585000233863,333$
9Patrick SieloffX100.00777580617559634625364161394444515000262700,000$
10Evan Bouchard (R)X100.007573786673656758255546634444445850002031,627,500$
MOYENNE D'ÉQUIPE100.0072588673706774614856556745535463490
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
1Jake Oettinger100.0059526586636356636362304444604000
MOYENNE D'ÉQUIPE100.005456708455575359565630454556470
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
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


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$759,258$0$0$No759,258$Lien
Blake LizotteSound Tigers (NYI)C221997-12-12Yes172 Lbs5 ft7NoNoNo3Pro & Farm2,072,472$1,491,667$0$0$No1,491,667$1,491,667$Lien
Brandon HagelSound Tigers (NYI)LW211998-08-26Yes174 Lbs5 ft11NoNoNo3Pro & Farm950,000$925,000$0$0$No925,000$925,000$Lien
Brandon HickeySound Tigers (NYI)D241996-04-13No201 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Erik BrannstromSound Tigers (NYI)D201999-09-02No173 Lbs5 ft10NoNoNo2Pro & Farm1,344,167$450,000$0$0$No1,344,167$Lien
Evan BouchardSound Tigers (NYI)D201999-10-20Yes194 Lbs6 ft3NoNoNo3Pro & Farm1,627,500$1,627,500$0$0$No1,627,500$1,627,500$
Garret SparksSound Tigers (NYI)G261993-06-28No210 Lbs6 ft3NoNoNo3Pro & Farm675,000$675,000$0$0$No675,000$675,000$Lien
German RubtsovSound Tigers (NYI)C211998-06-27No178 Lbs6 ft2NoNoNo2Pro & Farm1,106,666$450,000$0$0$No1,106,666$Lien
Jake OettingerSound Tigers (NYI)G211998-12-18No212 Lbs6 ft4NoNoNo2Pro & Farm1,387,500$450,000$0$0$No1,387,500$Lien
Janne KuokkanenSound Tigers (NYI)C/LW221998-05-25No188 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Jay BeagleSound Tigers (NYI)C341985-10-16No218 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$2,000,000$0$0$NoLien
Jimmy VeseySound Tigers (NYI)LW/RW271993-05-26No206 Lbs6 ft3NoNoNo3Pro & Farm2,425,000$2,275,000$0$0$No2,275,000$2,275,000$Lien
Jonathon MerrillSound Tigers (NYI)D281992-02-03No205 Lbs6 ft3NoNoNo1Pro & Farm1,375,000$1,375,000$0$0$NoLien
Jordan WealSound Tigers (NYI)C/LW/RW281992-04-14No179 Lbs5 ft10NoNoNo1Pro & Farm1,750,000$1,750,000$0$0$NoLien
Joshua NorrisSound Tigers (NYI)C211999-05-05Yes192 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$1,633,333$0$0$No1,633,333$1,633,333$
Kenny AgostinoSound Tigers (NYI)LW281992-04-30No200 Lbs6 ft1NoNoNo1Pro & Farm875,000$875,000$0$0$NoLien
Kevin ConnautonSound Tigers (NYI)D301990-02-23No205 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Kevin ShattenkirkSound Tigers (NYI)D311989-01-29No200 Lbs6 ft0NoNoNo3Pro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$Lien
Kristian VesalainenSound Tigers (NYI)LW/RW211999-06-01No207 Lbs6 ft3NoNoNo2Pro & Farm1,491,667$450,000$0$0$No1,491,667$Lien
Lucas JohansenSound Tigers (NYI)D221997-11-16No176 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Mark JankowskiSound Tigers (NYI)C251994-09-13No202 Lbs6 ft4NoNoNo4Pro & Farm1,675,000$1,675,000$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$1,975,000$0$0$NoLien
Morgan FrostSound Tigers (NYI)C211999-05-14Yes170 Lbs5 ft11NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Morgan GeekieSound Tigers (NYI)C211998-07-20No179 Lbs6 ft2NoNoNo2Pro & Farm800,000$450,000$0$0$No800,000$Lien
Oliver KylingtonSound Tigers (NYI)D231997-05-19No183 Lbs6 ft0NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien
Patrick SieloffSound Tigers (NYI)D261994-05-14No205 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Rasmus AnderssonSound Tigers (NYI)D231996-10-26No214 Lbs6 ft1NoNoNo4Pro & Farm863,333$863,333$0$0$No863,333$863,333$863,333$Lien
Reid BoucherSound Tigers (NYI)LW/RW261993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm688,000$688,000$0$0$NoLien
Ryan McLeodSound Tigers (NYI)C201999-09-21Yes201 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Tobias RiederSound Tigers (NYI)LW/RW271993-01-09No186 Lbs5 ft11NoNoNo1Pro & Farm2,250,000$2,250,000$0$0$NoLien
Ukko-Pekka LuukkonenSound Tigers (NYI)G211999-03-09Yes196 Lbs6 ft4NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Urho VaakanainenSound Tigers (NYI)D211999-01-01No187 Lbs6 ft1NoNoNo2Pro & Farm1,302,500$450,000$0$0$No1,302,500$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.09192 Lbs6 ft12.161,275,877$



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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 4,082,806$ 3,391,475$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
Saison Régulière
202082393400243217205124121150012210597841181900121112108491217334551066678695199568063266541168149299613365016412.77%4264888.73%31330242654.82%1142220851.72%612115952.80%202914782007582923447
Total Saison Régulière82393400243217205124121150012210597841181900121112108491217334551066678695199568063266541168149299613365016412.77%4264888.73%31330242654.82%1142220851.72%612115952.80%202914782007582923447