Sound Tigers

DG: Robert Podoba Morale : 1 Moyenne d'Équipe : 53
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Cristoval Nieves (R)XX100.0063466678686267676235345758505106570
2James Wright (R)XX100.00657763725957615878373557506060014560
3Mark Jankowski (R)XX100.00674466805556696761373559505051021560
4Martin FrkX100.00597162745463626069324259594444015550
5Christian ThomasX100.00606269674963625967423957514545021540
6Eriah HayesXX100.00718064665963625566293359504545015530
7Axel Blomqvist (R)XX100.00798377645949585265262855504444034510
8Marc-Olivier Roy (R)X100.00616570635150605665323359504444019510
9Matt Carey (R)XX100.0059716167545961546428325450444406500
10David BrollX100.00577957605962615365272952504444019490
11Ryan MacInnis (R)XX100.00505050505050505050333350505050021460
12Joshua Ho-Sang (R)XXX100.00505050505050505050333350505050022460
13Andrew Nielsen (R)X100.00567062705868696325343056505555020550
14Kevin CzuczmanX100.00587666676067695625273057504945023530
15Jake CheliosXX100.00567063595866696725353257504646011530
16Luke WitkowskiX100.00557557726068705625282852504945026520
17Steve OleksyX100.00547055585768706025332751505152024520
18Brett Lernout (R)X100.00587866666261665525262757504646023510
19Haydn Fleury (R)X100.00505050505050505050333350505050022460
Rayé
1Daniel RenoufX100.00664582687463655735323166505050017560
MOYENNE D'ÉQUIPE100.0060666365576063575032325651484801952
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
1Jordan Binnington (R)100.0066726371687366706564495555021640
2Jack Campbell100.0057696965676762606161515555021610
Rayé
1Dylan Wells (R)100.0053526072616257555857485050019570
MOYENNE D'ÉQUIPE100.005964646965676262616149535302061
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Davis Payne39454041363740CAN455100,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrew NielsenSound Tigers (NYI)D2013.11.1996 0:53:03Yes207 Lbs6 ft3NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Axel BlomqvistSound Tigers (NYI)LW/RW2229.1.1995Yes212 Lbs6 ft7NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Brett LernoutSound Tigers (NYI)D2124.9.1995Yes206 Lbs6 ft4NoNo9Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Christian ThomasSound Tigers (NYI)RW2426.5.1992 6:52:15No176 Lbs5 ft9NoNo2Avec RestrictionPro & Farm900,000$900,000$Lien
Cristoval NievesSound Tigers (NYI)C/LW2323.1.1994 0:53:48Yes201 Lbs6 ft3NoNo10Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Daniel RenoufSound Tigers (NYI)D2212.6.1994 0:14:08No205 Lbs6 ft2NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
David BrollSound Tigers (NYI)LW244.1.1993 9:49:00No216 Lbs6 ft2NoNo3Avec RestrictionPro & Farm800,000$800,000$800,000$Lien
Dylan WellsSound Tigers (NYI)G193.1.1998 16:09:23Yes183 Lbs6 ft2NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Eriah HayesSound Tigers (NYI)LW/RW281.7.1988No210 Lbs6 ft4NoNo2Sans RestrictionPro & Farm800,000$800,000$Lien
Haydn FleurySound Tigers (NYI)D208.7.1996 14:45:17Yes100 Lbs6 ft3NoNo8Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Jack CampbellSound Tigers (NYI)G259.1.1992 6:51:24No195 Lbs6 ft3NoNo6Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jake CheliosSound Tigers (NYI)LW/D268.3.1991No188 Lbs6 ft2NoNo4Avec RestrictionPro & Farm1,100,000$1,100,000$1,100,000$1,100,000$Lien
James WrightSound Tigers (NYI)C/LW2724.3.1990Yes200 Lbs6 ft4NoNo10Sans RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jordan BinningtonSound Tigers (NYI)G2311.7.1993Yes167 Lbs6 ft1NoNo8Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Joshua Ho-SangSound Tigers (NYI)C/LW/RW2526.12.1991 14:57:05Yes78 Lbs6 ft0NoNo8Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Kevin CzuczmanSound Tigers (NYI)D251.7.1991No209 Lbs6 ft2YesNo2Avec RestrictionPro & Farm900,000$900,000$Lien
Luke WitkowskiSound Tigers (NYI)D2714.4.1990No200 Lbs6 ft2NoNo1Sans RestrictionPro & Farm1,100,000$Lien
Marc-Olivier RoySound Tigers (NYI)C224.11.1994Yes175 Lbs6 ft0NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Mark JankowskiSound Tigers (NYI)C/LW2213.9.1994 0:54:31Yes185 Lbs6 ft3NoNo10Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Martin FrkSound Tigers (NYI)RW235.10.1993No194 Lbs6 ft1NoNo8Avec RestrictionFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Matt CareySound Tigers (NYI)C/RW241.7.1992Yes195 Lbs6 ft0NoNo3Avec RestrictionPro & Farm900,000$900,000$900,000$Lien
Ryan MacInnisSound Tigers (NYI)C/LW2114.2.1996 14:54:25Yes83 Lbs6 ft3NoNo8Contrat d'EntréeFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$
Steve OleksySound Tigers (NYI)D314.2.1986 5:10:00No190 Lbs6 ft0NoNo1Sans RestrictionPro & Farm900,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.65182 Lbs6 ft26.65386,957$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mark JankowskiCristoval NievesMartin Frk40122
2Eriah HayesJames WrightChristian Thomas30122
3Axel BlomqvistMarc-Olivier RoyMatt Carey20122
4David BrollRyan MacInnisJoshua Ho-Sang10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew NielsenKevin Czuczman40122
2Jake CheliosLuke Witkowski30122
3Steve OleksyBrett Lernout20122
4Haydn FleuryAndrew Nielsen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mark JankowskiCristoval NievesMartin Frk60122
2Eriah HayesJames WrightChristian Thomas40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew NielsenKevin Czuczman60122
2Jake CheliosLuke Witkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cristoval NievesMark Jankowski60122
2James WrightMartin Frk40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew NielsenKevin Czuczman60122
2Jake CheliosLuke Witkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cristoval Nieves60122Andrew NielsenKevin Czuczman60122
2Mark Jankowski40122Jake CheliosLuke Witkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cristoval NievesMark Jankowski60122
2James WrightMartin Frk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrew NielsenKevin Czuczman60122
2Jake CheliosLuke Witkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark JankowskiCristoval NievesMartin FrkAndrew NielsenKevin Czuczman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mark JankowskiCristoval NievesMartin FrkAndrew NielsenKevin Czuczman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marc-Olivier Roy, Axel Blomqvist, Matt CareyMarc-Olivier Roy, Axel BlomqvistMatt Carey
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steve Oleksy, Brett Lernout, Haydn FleurySteve OleksyBrett Lernout, Haydn Fleury
Tirs de Pénalité
Cristoval Nieves, Mark Jankowski, James Wright, Martin Frk, Christian Thomas
Gardien
#1 : Jordan Binnington, #2 : Jack Campbell


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
Total0000000000000.000000000000000000000000.00%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
DateMatchup Result Detail



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
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 JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
890,000$ 690,000$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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