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Sound Tigers

GP: 47 | W: 29 | L: 12 | OTL: 6 | P: 64
GF: 206 | GA: 162 | PP%: 18.85% | PK%: 80.92%
DG: Mathieu Turgeon | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #752 vs Eagles
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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 SPÂgeContratSalaire
1Eric Tangradi (C)X100.00694786609276695856596162587971050630301650,000$
2Ryan MacInnisX100.00644689618675736268615963616764050630231874,125$
3Andreas Martinsen (A)XX100.00734589608574755852575759607870050620291750,000$
4Anthony AngelloXX100.00685086599178795853576061586764050620231925,000$
5Brett MurrayX100.00834789589785875754565562586362050620211650,000$
6Nolan StevensXX100.00624588618085836067595662616764050620231700,000$
7Rhett GardnerXX100.00684689608871725866575962586764050620232925,000$
8Gabriel GagneX100.00684582608779805854575659606764050610221650,000$
9Joona KoppanenXX100.00694581578884825651535558566361050600212910,833$
10Carl DahlstromX100.00574583599382715830635069466965050610242850,000$
11Mark FriedmanX100.00584587606981795830595761506964050610231825,000$
12Jake Dotchin (A)X100.00695370598573715830575760527166050610251700,000$
13Nicolas MelocheX100.00715382588583815630555259456563050600221925,000$
14Wiley ShermanX100.00745084559279785630545159456965050600241925,000$
Rayé
MOYENNE D'ÉQUIPE100.0068478559877977584857566155696505061
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
1Maxime Lagace100.0078676578777678777678777377050670
2Ukko-Pekka Luukkonen100.0072565486717072717072716165050630
Rayé
1Colton Point100.0061545293605961605961606367050580
MOYENNE D'ÉQUIPE100.007059578669687069687069667005063
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Ryan MacInnisSound Tigers (NYI)C472643691380681572257214211.56%15113024.0549133310310151354156.28%167900031.22111000723
2Eric TangradiSound Tigers (NYI)LW472627531316093672205913411.82%15112723.995383210301121323153.85%7800010.94211000434
3Gabriel GagneSound Tigers (NYI)RW47202848198072781834611610.93%1878416.6910123000000158.18%5500101.2200000150
4Rhett GardnerSound Tigers (NYI)C/LW4720264620155501601895614310.58%1680117.05000030000172058.62%95700011.1500010213
5Carl DahlstromSound Tigers (NYI)D47639459280100819138636.59%79114424.34066391070001109100.00%000000.7900000332
6Mark FriedmanSound Tigers (NYI)D477344110200112639933567.07%62114324.33279441080003113100.00%000000.7200000032
7Nolan StevensSound Tigers (NYI)C/LW472020401200191161636316812.27%1285618.233032497000083259.96%111900000.9311000024
8Brett MurraySound Tigers (NYI)LW4718203816515160801564913611.54%26106822.7322419961011614046.59%17600000.7119001201
9Anthony AngelloSound Tigers (NYI)C/RW47132235192956653142371159.15%1285618.22358211000112530154.41%6800000.8224100013
10Joona KoppanenSound Tigers (NYI)C/LW4720153591006941152479113.16%1176616.31000110002432052.86%14000000.9100000401
11Andreas MartinsenSound Tigers (NYI)LW/RW4711233492006864177651266.21%682117.471342299000001060.00%5500000.8300000113
12Jake DotchinSound Tigers (NYI)D478243285610106528131559.88%7196520.542243193022188100.00%000000.6600101020
13Wiley ShermanSound Tigers (NYI)D472293127360126344112294.88%5877116.4200001000033100.00%000000.8000000020
14Nicolas MelocheSound Tigers (NYI)D47315181618074385726465.26%6494620.140111778000010201100.00%100000.3800000100
Stats d'équipe Total ou en Moyenne65820036556520031525118310841976634142010.12%4651318320.0423386128510022461790223757.26%432800150.86736212252526
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
1Maxime LagaceSound Tigers (NYI)47281260.8983.3926716215114840200.82935470122
2Ukko-Pekka LuukkonenSound Tigers (NYI)61000.9561.511990051130010.0000047000
Stats d'équipe Total ou en Moyenne53291260.9023.2628706215615970210.829354747122


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 Cap 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
Andreas MartinsenSound Tigers (NYI)LW/RW291990-06-13No225 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Anthony AngelloSound Tigers (NYI)C/RW231996-03-06No210 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Brett MurraySound Tigers (NYI)LW211998-07-20No236 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$NoLien
Carl DahlstromSound Tigers (NYI)D241995-01-28No231 Lbs6 ft4NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Colton PointSound Tigers (NYI)G211998-03-04No235 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Eric TangradiSound Tigers (NYI)LW301989-02-10No226 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Gabriel GagneSound Tigers (NYI)RW221996-11-11No186 Lbs6 ft5NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Jake DotchinSound Tigers (NYI)D251994-03-24No210 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joona KoppanenSound Tigers (NYI)C/LW211998-02-25No192 Lbs6 ft5NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Mark FriedmanSound Tigers (NYI)D231995-12-25No185 Lbs5 ft11NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Maxime LagaceSound Tigers (NYI)G261993-01-12No190 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Nicolas MelocheSound Tigers (NYI)D221997-07-18No210 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nolan StevensSound Tigers (NYI)C/LW231996-07-22No183 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Rhett GardnerSound Tigers (NYI)C/LW231996-02-28No225 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Ryan MacInnisSound Tigers (NYI)C231996-02-14No191 Lbs6 ft4NoNoNo1Pro & Farm874,125$0$0$NoLien
Ukko-Pekka LuukkonenSound Tigers (NYI)G201999-03-09No196 Lbs6 ft4NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Wiley ShermanSound Tigers (NYI)D241995-05-24No200 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1723.53208 Lbs6 ft41.35811,517$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Eric TangradiRyan MacInnisAnthony Angello30122
2Brett MurrayNolan StevensAndreas Martinsen30122
3Joona KoppanenRhett GardnerGabriel Gagne25122
4Eric TangradiRyan MacInnisBrett Murray15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromMark Friedman30122
2Jake DotchinNicolas Meloche30122
3Wiley Sherman25122
4Carl DahlstromMark Friedman15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Eric TangradiRyan MacInnisAnthony Angello60122
2Brett MurrayNolan StevensAndreas Martinsen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromMark Friedman60122
2Jake DotchinNicolas Meloche40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan MacInnisEric Tangradi60122
2Brett MurrayAnthony Angello40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromMark Friedman60122
2Jake DotchinNicolas Meloche40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan MacInnis60122Carl DahlstromMark Friedman60122
2Eric Tangradi40122Jake DotchinNicolas Meloche40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan MacInnisEric Tangradi60122
2Brett MurrayAnthony Angello40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromMark Friedman60122
2Jake DotchinNicolas Meloche40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Eric TangradiRyan MacInnisAnthony AngelloCarl DahlstromMark Friedman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Eric TangradiRyan MacInnisAnthony AngelloCarl DahlstromMark Friedman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rhett Gardner, Gabriel Gagne, Joona KoppanenRhett Gardner, Gabriel GagneJoona Koppanen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Wiley Sherman, Jake Dotchin, Nicolas MelocheWiley ShermanJake Dotchin, Nicolas Meloche
Tirs de Pénalité
Ryan MacInnis, Eric Tangradi, Brett Murray, Anthony Angello, Nolan Stevens
Gardien
#1 : Maxime Lagace, #2 : Ukko-Pekka Luukkonen


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
1Admirals11000000642000000000001100000064221.0006101600846055857660624668613252295360.00%110.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
2Americans311000101111020100010710-31100000041340.667112031008460558117660624668611203132656116.67%14192.86%11052184756.96%951167856.67%47681058.77%12368831039323599307
3Barracuda201000107701010000023-11000001054120.500712190084605587666062466861903412607114.29%6433.33%01052184756.96%951167856.67%47681058.77%12368831039323599307
4Bears211000007521010000014-31100000061520.50071421008460558916606246686171291662400.00%8187.50%01052184756.96%951167856.67%47681058.77%12368831039323599307
5Bruins2000000268-21000000134-11000000134-120.50061016008460558756606246686167176577114.29%30100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
6Checkers30300000512-71010000024-22020000038-500.000581300846055811666062466861973535706116.67%13376.92%01052184756.96%951167856.67%47681058.77%12368831039323599307
7Comets110000001001011000000100100000000000021.0001019290184605589066062466861113620200.00%30100.00%11052184756.96%951167856.67%47681058.77%12368831039323599307
8Condors3300000025421110000001028220000001521361.00025457001846055822466062466861532310754250.00%50100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
9Devils2100010010821000010034-11100000074330.75010182800846055879660624668617518449200.00%2150.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
10Griffins311000011012-22110000078-11000000134-130.50010192910846055813166062466861913314858112.50%6183.33%01052184756.96%951167856.67%47681058.77%12368831039323599307
11Gulls10000010431100000104310000000000021.000461000846055832660624668613513420200.00%20100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
12Heat11000000651110000006510000000000021.000612180084605584866062466861328423000.00%2150.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
13IceHogs11000000651000000000001100000065121.0006111700846055835660624668613811817200.00%4175.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
14Marlies1010000036-31010000036-30000000000000.00036900846055838660624668613713421200.00%2150.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
15Monsters11000000743110000007430000000000021.000712190084605584566062466861325631200.00%20100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
16Moose1010000034-1000000000001010000034-100.000358008460558286606246686137821303266.67%3166.67%01052184756.96%951167856.67%47681058.77%12368831039323599307
17Penguins220000001587110000008441100000074341.00015294400846055810166062466861792319497342.86%70100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
18Rampage1010000005-5000000000001010000005-500.00000000846055820660624668613715621200.00%3166.67%01052184756.96%951167856.67%47681058.77%12368831039323599307
19Reign11000000541000000000001100000054121.0005914008460558346606246686144141829200.00%8275.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
20Roadrunners10000010431000000000001000001043121.0004590084605583566062466861317424300.00%20100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
21Rocket2200000011472200000011470000000000041.000112233008460558836606246686154114408112.50%2150.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
22Senators20100010770201000107700000000000020.50071017008460558746606246686172152055500.00%7185.71%01052184756.96%951167856.67%47681058.77%12368831039323599307
23Stars41000012141401000000112-1310000111312160.75014193300846055813666062466861158473010818316.67%14285.71%01052184756.96%951167856.67%47681058.77%12368831039323599307
24Thunderbirds31101000121111010000034-12100100097240.667122335008460558111660624668611052617617342.86%50100.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
Total47221201165206162442410800132103832023124010331037924640.681206365571128460558197766062466861159847332111881222318.85%1312580.92%21052184756.96%951167856.67%47681058.77%12368831039323599307
25Wild22000000963110000005321100000043141.000916250084605586266062466861651710536116.67%5180.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
26Wolf Pack11000000321110000003210000000000021.00035800846055839660624668613512934200.00%2150.00%01052184756.96%951167856.67%47681058.77%12368831039323599307
_Since Last GM Reset47221201165206162442410800132103832023124010331037924640.681206365571128460558197766062466861159847332111881222318.85%1312580.92%21052184756.96%951167856.67%47681058.77%12368831039323599307
_Vs Conference241080112210082181556001216153895201001392910290.604100184284018460558101466062466861823233172583581017.24%681085.29%21052184756.96%951167856.67%47681058.77%12368831039323599307
_Vs Division1155010024739862300001242225320100123176140.6364786133008460558471660624668613891228929523417.39%34682.35%01052184756.96%951167856.67%47681058.77%12368831039323599307

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4764W220636557119771598473321118812
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4722121165206162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24108013210383
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
23124103310379
Derniers 10 Matchs
WLOTWOTL SOWSOL
620011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1222318.85%1312580.92%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
660624668618460558
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
1052184756.96%951167856.67%47681058.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12368831039323599307


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
3 - 2020-10-0717Gulls3Sound Tigers4WXXSommaire du Match
5 - 2020-10-0933Marlies6Sound Tigers3LSommaire du Match
7 - 2020-10-1144Sound Tigers7Penguins4WSommaire du Match
9 - 2020-10-1365Bears4Sound Tigers1LSommaire du Match
10 - 2020-10-1469Sound Tigers7Devils4WSommaire du Match
13 - 2020-10-1787Sound Tigers6Stars5WSommaire du Match
14 - 2020-10-18100Sound Tigers1Checkers5LSommaire du Match
16 - 2020-10-20115Senators3Sound Tigers2LSommaire du Match
19 - 2020-10-23135Bruins4Sound Tigers3LXXSommaire du Match
22 - 2020-10-26156Griffins3Sound Tigers4WSommaire du Match
25 - 2020-10-29178Sound Tigers3Stars4LXXSommaire du Match
27 - 2020-10-31192Rocket3Sound Tigers4WSommaire du Match
29 - 2020-11-02203Sound Tigers6IceHogs5WSommaire du Match
31 - 2020-11-04221Americans3Sound Tigers4WXXSommaire du Match
32 - 2020-11-05231Sound Tigers3Thunderbirds2WSommaire du Match
35 - 2020-11-08249Sound Tigers10Condors2WSommaire du Match
37 - 2020-11-10260Wild3Sound Tigers5WSommaire du Match
39 - 2020-11-12281Comets0Sound Tigers10WSommaire du Match
41 - 2020-11-14297Sound Tigers4Stars3WXXSommaire du Match
43 - 2020-11-16313Devils4Sound Tigers3LXSommaire du Match
45 - 2020-11-18324Sound Tigers6Bears1WSommaire du Match
47 - 2020-11-20342Sound Tigers5Condors0WSommaire du Match
49 - 2020-11-22353Barracuda3Sound Tigers2LSommaire du Match
50 - 2020-11-23367Sound Tigers5Barracuda4WXXSommaire du Match
53 - 2020-11-26386Checkers4Sound Tigers2LSommaire du Match
55 - 2020-11-28401Sound Tigers0Rampage5LSommaire du Match
57 - 2020-11-30412Rocket1Sound Tigers7WSommaire du Match
58 - 2020-12-01428Sound Tigers3Griffins4LXXSommaire du Match
60 - 2020-12-03446Thunderbirds4Sound Tigers3LSommaire du Match
63 - 2020-12-06464Sound Tigers4Roadrunners3WXXSommaire du Match
66 - 2020-12-09476Griffins5Sound Tigers3LSommaire du Match
69 - 2020-12-12497Sound Tigers3Bruins4LXXSommaire du Match
70 - 2020-12-13508Penguins4Sound Tigers8WSommaire du Match
72 - 2020-12-15529Sound Tigers3Moose4LSommaire du Match
74 - 2020-12-17540Condors2Sound Tigers10WSommaire du Match
77 - 2020-12-20560Sound Tigers6Thunderbirds5WXSommaire du Match
79 - 2020-12-22570Heat5Sound Tigers6WSommaire du Match
81 - 2020-12-24586Sound Tigers4Wild3WSommaire du Match
83 - 2020-12-26600Senators4Sound Tigers5WXXSommaire du Match
86 - 2020-12-29622Sound Tigers2Checkers3LSommaire du Match
87 - 2020-12-30635Monsters4Sound Tigers7WSommaire du Match
90 - 2021-01-02656Sound Tigers6Admirals4WSommaire du Match
92 - 2021-01-04667Wolf Pack2Sound Tigers3WSommaire du Match
95 - 2021-01-07689Americans7Sound Tigers3LSommaire du Match
98 - 2021-01-10715Stars2Sound Tigers1LXXSommaire du Match
100 - 2021-01-12726Sound Tigers5Reign4WSommaire du Match
101 - 2021-01-13735Sound Tigers4Americans1WSommaire du Match
103 - 2021-01-15752Sound Tigers-Eagles-
105 - 2021-01-17763IceHogs-Sound Tigers-
108 - 2021-01-20782Roadrunners-Sound Tigers-
110 - 2021-01-22791Sound Tigers-Gulls-
113 - 2021-01-25813Rampage-Sound Tigers-
115 - 2021-01-27834Sound Tigers-Rocket-
117 - 2021-01-29841Sound Tigers-Wolves-
119 - 2021-01-31852Bruins-Sound Tigers-
121 - 2021-02-02874Gulls-Sound Tigers-
123 - 2021-02-04886Sound Tigers-Marlies-
125 - 2021-02-06895Sound Tigers-Wolf Pack-
127 - 2021-02-08911Crunch-Sound Tigers-
129 - 2021-02-10926Sound Tigers-Wolf Pack-
131 - 2021-02-12939Admirals-Sound Tigers-
133 - 2021-02-14951Sound Tigers-Comets-
135 - 2021-02-16968Sound Tigers-Phantoms-
137 - 2021-02-18978Reign-Sound Tigers-
139 - 2021-02-201001Marlies-Sound Tigers-
140 - 2021-02-211009Sound Tigers-IceHogs-
143 - 2021-02-241028Sound Tigers-Senators-
145 - 2021-02-261041Moose-Sound Tigers-
147 - 2021-02-281058Sound Tigers-Heat-
149 - 2021-03-021067Sound Tigers-Devils-
150 - 2021-03-031080Bears-Sound Tigers-
153 - 2021-03-061099Sound Tigers-Phantoms-
154 - 2021-03-071111Eagles-Sound Tigers-
157 - 2021-03-101129Monsters-Sound Tigers-
159 - 2021-03-121146Sound Tigers-Monsters-
160 - 2021-03-131155Sound Tigers-Crunch-
163 - 2021-03-161172Wolves-Sound Tigers-
167 - 2021-03-201196Marlies-Sound Tigers-
170 - 2021-03-231217Phantoms-Sound Tigers-
173 - 2021-03-261226Sound Tigers-Crunch-
177 - 2021-03-301249Sound Tigers-Penguins-
179 - 2021-04-011256Phantoms-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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
773,160$ 1,379,579$ 727,166$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 773,160$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 7,580$ 606,400$




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
28150130744330319810540276042011511005141237032421529854100303531834291248583142616850867870492231684109216703486618.97%4468181.84%51427272252.42%1325263250.34%678129652.31%2040139118146101063544
3824427033232472103741221303111119100194122140021212811018882474326791597529310263790282987650239566798815573355516.42%4176185.37%41601286155.96%1383264052.39%674123454.62%2076143218296081054544
48243300004525420648412512000131309238411818000321241141086254459713331077766727819498919295424517461653199056210218.15%71610884.92%91866320458.24%1773312056.83%714124557.35%2018134218906591056527
582383003353253214394119130223213811721411917011211159718762534477001583917112295898099295765244274671521372335423.18%3255981.85%41835293962.44%1586266959.42%745126358.99%2105149718315691032526
682412701010331923485412312000511771106741181501052142124188231955887715139937616353311841173114676276184861521692204319.55%2555180.00%21884323358.27%1629293855.45%767135156.77%2150154418025671032536
7824326032353042198541231102113155105504120150112214911435863045338371412493816349911381185114160281476164023051873317.65%2905979.66%62050333261.52%1727306156.42%806134060.15%2165155717825621021528
88251190151536019916141278012031991019841241100312161986310236068310430101541001045356612301127117266276883956221921645432.93%2453486.12%21661299255.51%1479284651.97%737130856.35%2262166717075231000526
88251190151536019916141278012031991019841241100312161986310236068310430101541001045356612301127117266276883956221921645432.93%2453486.12%21661299255.51%1479284651.97%737130856.35%2262166717075231000526
94722120116520616244241080013210383202312401033103792464206365571128460558197766062466861159847332111881222318.85%1312580.92%21052184756.96%951167856.67%47681058.77%12368831039323599307
Total Saison Régulière70238320302023363726061841765351203910131114191371909462351180112071222181235932303786260646917297105310667517338327133912388158931547222286603714817400233548420.73%307051283.32%36150372612257.56%133322443054.57%63341115556.78%183181298315405494888614568
Séries
2624000001619-331200000910-13120000079-241627431056501605353540166537212626519.23%36683.33%011419857.58%10418855.32%418051.25%151103133447638
3624000001816230300000611-532100000125741834520185502188059745199607312134617.65%30583.33%016425364.82%12719864.14%538760.92%159114132427538
6624000001530-15321000001013-330300000517-1241527420074401876059680285863617321419.05%17570.59%08121936.99%9526835.45%4611141.44%11675169447334
7404000001117-620200000610-42020000057-20111728004430127364048315345281199333.33%14378.57%07414052.86%7116543.03%377052.86%8858106325425
8734000002125-4413000001216-4321000009906213859109750250899070131197311771500.00%11190.91%011225144.62%11429338.91%5512245.08%158113176488542
Total Séries299200000081107-2615411000004360-171459000003847-91881143224213326220942318301314911143412407161051817.14%1082081.48%0545106151.37%511111245.95%23247049.36%674464718212365178