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Sound Tigers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Pichette | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralPatrick Pichette
EntraîneurTodd Richards
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 60
Espoirs16


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-Boulet0X100.00674291736558756940657162254646685000254758,333$
2Radim Zohorna (R)0XXX100.00794591688556646737696268254646665000262925,000$
3Janne Kuokkanen0XX100.00674293797165795829656076256060675000243894,166$
4Sampo Ranta (R)0XX100.007344937076575967465055732544456150002221,208,333$
5Blake Lizotte0X100.007642878659628161846566742561617050002411,491,667$
6Cooper Marody0XX100.00696772666771726880666663634444675000254750,000$
7Jack Quinn (R)0X100.007165857565615972506872656844447050002021,775,000$
8Josh Leivo0XX100.007472807172737567506166706363636850002911,500,000$
9Matt Filipe0X100.00737275607256585164475060484444555000244925,000$
10Kristian Vesalainen0XX100.007945967477527057255256612552536050002331,460,833$
11Morgan Geekie0XX100.00714391747363817086665964255758655000233750,000$
12Mark Jankowski0XX100.006142927577667463786360782562626650002721,675,000$
13Morgan Frost0X100.00714291856367667477655968255454675000231863,333$
14Brandon Hagel0X100.00715287796373907140708379255959795000231925,000$
15Ryan McLeod0X100.00634294777664846773636477255556695000221925,000$
16Juuso Valimaki0X100.007344707578697258255647772550506150002321,319,166$
17Dylan Coghlan0X100.00764490737265706725524872255555615000244762,500$
18Lucas Johansen (R)0X100.00746790696759615425474662444444565000244750,000$
19Yan Kuznetsov (R)0X100.00767870677837374125283959374444475000204894,167$
20Urho Vaakanainen0X100.007343897869786360255547772548486250002331,302,500$
21Zach Bogosian0X100.008988708077677255254948717578806150003121,000,000$
22Oliver Kylington0X100.00654193836775666625645370256161655000251863,333$
Rayé
MOYENNE D’ÉQUIPE100.0072538674716369634758586935535464500
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
1Hunter Shepard (R)100.0044415173454445494545454444455000264750,000$
2Garret Sparks100.0049475980494950544949304747505000281675,000$
3Ukko-Pekka Luukkonen (R)100.0050516488505150555151304545515000233910,833$
4Hugo Alnefelt (R)100.0045405080454450524748304444475000214925,000$
Rayé
MOYENNE D’ÉQUIPE100.004745568047474953484834454548500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Richards77828574807569USA55112,500,000$


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 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 Barre-BouletSound Tigers (NYI)C251997-05-20No180 Lbs5 ft10NoNoNo4Pro & Farm758,333$758,333$758,333$758,333$0$0$No758,333$758,333$758,333$Lien
Blake LizotteSound Tigers (NYI)C241997-12-12No172 Lbs5 ft7NoNoNo1Pro & Farm1,491,667$1,491,667$1,491,667$1,491,667$0$0$NoLien
Brandon HagelSound Tigers (NYI)LW231998-08-26No174 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Cooper MarodySound Tigers (NYI)C/RW251996-12-20No184 Lbs6 ft0NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Dylan CoghlanSound Tigers (NYI)D241998-02-19No190 Lbs6 ft2NoNoNo4Pro & Farm762,500$762,500$762,500$762,500$0$0$No762,500$762,500$762,500$Lien
Garret SparksSound Tigers (NYI)G281993-06-28No201 Lbs6 ft3NoNoNo1Pro & Farm675,000$675,000$675,000$675,000$0$0$NoLien
Hugo AlnefeltSound Tigers (NYI)G212001-06-04Yes201 Lbs6 ft3NoNoNo4Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$925,000$
Hunter ShepardSound Tigers (NYI)G261995-11-07Yes201 Lbs6 ft0NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Jack QuinnSound Tigers (NYI)RW202001-09-19Yes176 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$1,775,000$450,000$450,000$0$0$No1,775,000$Lien
Janne KuokkanenSound Tigers (NYI)LW/RW241998-05-25No193 Lbs6 ft1NoNoNo3Pro & Farm894,166$894,166$894,166$894,166$0$0$No894,166$894,166$Lien
Josh LeivoSound Tigers (NYI)LW/RW291993-05-26No192 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$NoLien
Juuso ValimakiSound Tigers (NYI)D231998-10-06No212 Lbs6 ft2NoNoNo2Pro & Farm1,319,166$1,319,166$1,319,166$1,319,166$0$0$No1,319,166$Lien
Kristian VesalainenSound Tigers (NYI)LW/RW231999-06-01No207 Lbs6 ft3NoNoNo3Pro & Farm1,460,833$1,460,833$1,460,833$1,460,833$0$0$No1,460,833$1,460,833$Lien
Lucas JohansenSound Tigers (NYI)D241997-11-16Yes176 Lbs6 ft2NoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Mark JankowskiSound Tigers (NYI)C/LW271994-09-13No202 Lbs6 ft4NoNoNo2Pro & Farm1,675,000$1,675,000$1,675,000$1,675,000$0$0$No1,675,000$Lien
Matt FilipeSound Tigers (NYI)LW241997-12-31No193 Lbs6 ft2NoNoNo4Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$925,000$Lien
Morgan FrostSound Tigers (NYI)C231999-05-14No170 Lbs5 ft11NoNoNo1Pro & Farm863,333$863,333$863,333$863,333$0$0$NoLien
Morgan GeekieSound Tigers (NYI)C/RW231998-07-20No192 Lbs6 ft3NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Oliver KylingtonSound Tigers (NYI)D251997-05-19No183 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$863,333$863,333$0$0$NoLien
Radim ZohornaSound Tigers (NYI)C/LW/RW261996-04-29Yes220 Lbs6 ft6NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Ryan McLeodSound Tigers (NYI)C221999-09-21No207 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Sampo RantaSound Tigers (NYI)LW/RW222000-05-31Yes205 Lbs6 ft2NoNoNo2Pro & Farm1,208,333$1,208,333$0$0$No1,208,333$Lien
Ukko-Pekka LuukkonenSound Tigers (NYI)G231999-03-08Yes220 Lbs6 ft4NoNoNo3Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$910,833$Lien
Urho VaakanainenSound Tigers (NYI)D231999-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm1,302,500$1,302,500$1,302,500$1,302,500$0$0$No1,302,500$1,302,500$Lien
Yan KuznetsovSound Tigers (NYI)D202002-03-09Yes209 Lbs6 ft4NoNoNo4Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$894,167$894,167$
Zach BogosianSound Tigers (NYI)D311990-07-15No200 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.15194 Lbs6 ft22.541,037,660$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Janne Kuokkanen35122
2Josh LeivoMark Jankowski30122
3Blake Lizotte25122
4Brandon HagelJack Quinn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
3Juuso Valimaki25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Janne Kuokkanen60122
2Josh LeivoMark Jankowski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Janne KuokkanenJosh Leivo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Janne KuokkanenJosh Leivo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Janne Kuokkanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Janne Kuokkanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Lizotte, , Blake Lizotte,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Juuso Valimaki, Juuso Valimaki,
Tirs de pénalité
, , Janne Kuokkanen, Josh Leivo,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 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



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%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel 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 entraineurs
0$ 2,697,916$ 2,444,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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