Connexion

Sound Tigers
GP: 80 | W: 42 | L: 33 | OTL: 5 | P: 89
GF: 329 | GA: 338 | PP%: 19.73% | PK%: 79.71%
DG: Francois Touzin | Morale : 45 | Moyenne d’équipe : 63
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Centre de jeu
Sound Tigers
42-33-5, 89pts
3
FINAL
2 Rampage
39-34-7, 85pts
Team Stats
OTW1StreakW1
20-18-2Home Record20-16-4
22-15-3Away Record19-18-3
8-2-0Last 10 Games5-5-0
4.11Buts par match 3.75
4.23Buts contre par match 3.90
19.73%Pourcentage en avantage numérique21.31%
79.71%Pourcentage en désavantage numérique79.44%
Wolfpack
43-33-4, 90pts
2
FINAL
3 Sound Tigers
42-33-5, 89pts
Team Stats
OTL1StreakOTW1
24-15-1Home Record20-18-2
19-18-3Away Record22-15-3
6-2-2Last 10 Games8-2-0
4.39Buts par match 4.11
4.01Buts contre par match 4.23
23.26%Pourcentage en avantage numérique19.73%
75.85%Pourcentage en désavantage numérique79.71%
Meneurs d'équipe
Buts
James Sheppard
39
Passes
Connor Murphy
66
Points
Borna Rendulic
87
Plus/Moins
Julian Melchiori
25
Victoires
Pavel Francouz
37
Pourcentage d’arrêts
Pavel Francouz
0.888

Statistiques d’équipe
Buts pour
329
4.11 GFG
Tirs pour
2623
32.79 Avg
Pourcentage en avantage numérique
19.7%
58 GF
Début de zone offensive
36.4%
Buts contre
338
4.23 GAA
Tirs contre
2695
33.69 Avg
Pourcentage en désavantage numérique
79.7%
69 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralFrancois Touzin
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,780
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 250
Espoirs0


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 Tuch (R)X100.007231846286757467727481517351456962690203800,000$
2James SheppardX100.007327807174747970666576647161522465690281900,000$
3Garret Ross (R)X100.007844777272627479577167606353493843680242950,000$
4Borna Rendulic (R)X100.008143717072657471726669646946464065670242600,000$
5Christian Fischer (R)X100.007133786183696466667085506344427339670191500,000$
6James Livingstone (R)X100.005727796972766565727171686450483346670262950,000$
7Ben Thomson (R)X100.007145656480607072597572606046474343660231800,000$
8Joe Labate (R)X100.007031716971636371676573626747473939660231425,000$
9Pavel Kraskovsky (R)X100.006124757157625769677066505443435665620203550,000$
10Rhett Gardner (R)X100.007743666569567958576271555545435165620202500,000$
11Ross Colton (R)X100.006337785580696258677070505945446048620202500,000$
12Scott Glennie (R)X100.005235766561655364646160637047472850610251400,000$
13Josh Archibald (R)X100.005130846561705960606754605152522925600241250,000$
14Tyrell Goulbourne (R)X100.007636677572566564485855566547464225600221550,000$
15Brad Ross (R)X100.006340635969536966566756535546463025590242450,000$
16Ben Johnson (R)X100.006740616561596661506559385544444325570223400,000$
17Garret Pilon (R)X100.005937676063596160615761505740406525570182500,000$
18Blake Speers (R)X100.005731625065545056516070405141416625550191500,000$
19Connor Murphy (R)X100.006636817972817774547273726868464461720231600,000$
20Dylan McIlrath (R)X100.008356726785578172516852705457483751700241850,000$
21Julian Melchiori (R)X100.006734767374727167557062736766553165690251875,000$
22Gabriel Carlsson (R)X100.005836896667566863307047794746427155660191500,000$
23Slater Koekkoek (R)X100.006821876762737468516264706147464765660223650,000$
24Alexander Yelesin (R)X100.006833635760634949276245544842454765570201500,000$
Rayé
1Ryan Bourque (R)X91.077331777161586466616964596448493258640251650,000$
2Brandon Gignac (R)X100.005136675751576365636854364743435919550192500,000$
3David Broll (R)X100.007756624684517751514648314445453620510231275,000$
4Casey Staum (R)X100.005734654955474945315441504540405820510181250,000$
MOYENNE D’ÉQUIPE99.68673673646963666457666357594846464563
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
1Pavel Francouz (R)100.00906274827959658071578550575264710263500,000$
2Sean Maguire100.00687162616064656262687348483565630233550,000$
Rayé
1Chris Driedger100.00726171545576636650795544444520620221400,000$
MOYENNE D’ÉQUIPE100.0077656966656664696168714750445065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can491250,000$


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
1Ryan HartmanIslandersC73504898-19101151571892708516018.52%40163322.389213046227347122169448.77%24484627031.2018110843
2Borna RendulicSound Tigers (NyI)RW80325587-31080182922616814612.26%43151318.9171724382341012643055.64%1335438001.1513000364
3James SheppardSound Tigers (NyI)LW8039438234001281202777718214.08%51157919.7497163821712341862648.55%3115433021.0425000543
4Connor MurphySound Tigers (NyI)D72156681616011415021293917.08%140199027.6541216302451349269520.00%06971000.8101000245
5Alex TuchSound Tigers (NyI)LW76273966-5160107971865812514.52%37164621.661012223221932582343253.96%1393836010.8004000332
6Ryan BourqueSound Tigers (NyI)C8027285525358791162529516.67%29113314.16369141110000135144.85%11062019100.9700100504
7Garret RossSound Tigers (NyI)LW6721315212160103752025612710.40%2399214.8111264332591561147.06%344520001.0513000442
8Joe LabateSound Tigers (NyI)C54232952-126093771403910316.43%1390916.845510271320000361247.56%7571614001.1400000238
9Dylan McIlrathSound Tigers (NyI)D7773744-51001014914912261595.74%124205826.743811192610003263010.00%01769100.4300110012
10Julian MelchioriSound Tigers (NyI)D8073744256409612012050425.83%99171421.44156121840224200010.00%03570100.5100000132
11Pavel KraskovskySound Tigers (NyI)C8019254452006344125458415.20%87939.92325747000085250.24%4201711001.1100000311
12Christian FischerSound Tigers (NyI)RW711723408420925995357417.89%20110915.623476155000003051.92%522213000.7200000031
13James LivingstoneSound Tigers (NyI)RW69142337-51606369132357810.61%3798314.262799940110533058.14%433218000.7513000012
14Ben ThomsonSound Tigers (NyI)LW651119307380918799307411.11%1874511.471345410002981137.50%402410000.8000000100
15Scott GlennieSound Tigers (NyI)RW79171128-5140395372296223.61%197599.61033230000002035.29%17916000.7412000021
16Slater KoekkoekSound Tigers (NyI)D8002828228072946733460.00%77156119.5202271520001180000.00%01945000.3600000011
17Tyrell GoulbourneSound Tigers (NyI)LW3771320-1016042175363113.21%63419.2300000000181054.55%11136001.1700000001
18Ross ColtonSound Tigers (NyI)RW776131911100353648162012.50%115216.771012120000180048.92%46218000.7300000000
19Rhett GardnerSound Tigers (NyI)C806814-5180674245153313.33%94906.13101126000000049.41%25588000.5700000101
20Gabriel CarlssonSound Tigers (NyI)D8001313-190024994125160.00%77115514.44011251000060000.00%0646000.2300000000
21Alexander YelesinSound Tigers (NyI)D80279-2152065472310108.70%41104813.1000005000074000.00%0224100.1700000000
22Brad RossSound Tigers (NyI)LW3542602025212991113.79%42446.98000000000280040.00%520000.4900000000
23Ben JohnsonSound Tigers (NyI)C3514511002010284153.57%12366.75000050001210040.78%10331000.4200000000
24Josh ArchibaldSound Tigers (NyI)RW47235-2201428269177.69%33647.7500015000001014.29%748000.2700000000
25Andrew ShawIslandersRW1022200323020.00%22020.570000200004000.00%110001.9411000000
26Nikita ZadorovIslandersD1011-200103000.00%32626.000111100000000.00%001000.7700000000
27Garret PilonSound Tigers (NyI)C35011-240330040.00%0511.4700007000010060.00%1000000.3900000000
28Blake SpeersSound Tigers (NyI)C35000100300000.00%0250.7300004000012000.00%200000.0000000000
29David BrollSound Tigers (NyI)LW14000000000000.00%000.060000000000000.00%000000.0000000000
30Brandon GignacSound Tigers (NyI)C30000200000010.00%1461.56000000000350057.14%700000.0000000000
31Casey StaumSound Tigers (NyI)D8000-220041010.00%610012.620000000005000.00%002000.0000000000
Statistiques d’équipe totales ou en moyenne1778354609963179430193818752842940170912.46%9422579714.51631171803052525121628562253452348.14%6363557614460.75830320384043
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
1Pavel FrancouzSound Tigers (NyI)72372840.8883.7338646024021481187400.529176812242
2Sean MaguireSound Tigers (NyI)255510.8285.869620094547283000.66761268000
Statistiques d’équipe totales ou en moyenne97423350.8764.1548266033426951470400.565238080242


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 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 TuchSound Tigers (NyI)LW201996-01-01Yes222 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No1,000,000$1,500,000$
Alexander YelesinSound Tigers (NyI)D201996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Ben JohnsonSound Tigers (NyI)C221994-01-01Yes188 Lbs5 ft11NoNoNo3Pro & Farm400,000$0$0$No450,000$500,000$
Ben ThomsonSound Tigers (NyI)LW231993-01-01Yes205 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Blake SpeersSound Tigers (NyI)C191997-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Borna RendulicSound Tigers (NyI)RW241992-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No750,000$
Brad RossSound Tigers (NyI)LW241992-01-01Yes175 Lbs6 ft0NoNoNo2Pro & Farm450,000$0$0$No450,000$
Brandon GignacSound Tigers (NyI)C191997-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Casey StaumSound Tigers (NyI)D181998-01-01Yes181 Lbs6 ft0NoNoNo1Pro & Farm250,000$0$0$No
Chris DriedgerSound Tigers (NyI)G221994-01-01No187 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Christian FischerSound Tigers (NyI)RW191997-01-01Yes214 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Connor MurphySound Tigers (NyI)D231993-01-01Yes212 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
David BrollSound Tigers (NyI)LW231993-01-01Yes235 Lbs6 ft2NoNoNo1Pro & Farm275,000$0$0$No
Dylan McIlrathSound Tigers (NyI)D241992-01-01Yes220 Lbs6 ft5NoNoNo1Pro & Farm850,000$0$0$No
Gabriel CarlssonSound Tigers (NyI)D191997-01-01Yes192 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Garret PilonSound Tigers (NyI)C181998-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Garret RossSound Tigers (NyI)LW241992-01-01Yes169 Lbs5 ft11NoNoNo2Pro & Farm950,000$0$0$No950,000$
James LivingstoneSound Tigers (NyI)RW261990-01-01Yes215 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No950,000$
James SheppardSound Tigers (NyI)LW281988-01-01No210 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Joe LabateSound Tigers (NyI)C231993-01-01Yes190 Lbs6 ft4NoNoNo1Pro & Farm425,000$0$0$No
Josh ArchibaldSound Tigers (NyI)RW241992-01-01Yes176 Lbs5 ft10NoNoNo1Pro & Farm250,000$0$0$No
Julian MelchioriSound Tigers (NyI)D251991-01-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm875,000$0$0$No
Pavel FrancouzSound Tigers (NyI)G261990-01-01Yes179 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No650,000$850,000$
Pavel KraskovskySound Tigers (NyI)C201996-01-01Yes194 Lbs6 ft4NoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Rhett GardnerSound Tigers (NyI)C201996-01-01Yes225 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ross ColtonSound Tigers (NyI)RW201996-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ryan BourqueSound Tigers (NyI)C251991-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$No
Scott GlennieSound Tigers (NyI)RW251991-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Sean MaguireSound Tigers (NyI)G231993-01-01No193 Lbs6 ft1NoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Slater KoekkoekSound Tigers (NyI)D221994-01-01Yes184 Lbs6 ft1NoNoNo3Pro & Farm650,000$0$0$No750,000$850,000$
Tyrell GoulbourneSound Tigers (NyI)LW221994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.26196 Lbs6 ft11.65568,548$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex TuchJoe LabateBorna Rendulic40122
2James SheppardChristian Fischer30122
3Garret RossPavel KraskovskyJames Livingstone20122
4Ben ThomsonRhett GardnerRoss Colton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyDylan McIlrath40122
2Julian MelchioriGabriel Carlsson30122
3Slater KoekkoekAlexander Yelesin20122
4Connor MurphyDylan McIlrath10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex TuchJoe LabateBorna Rendulic60122
2James SheppardChristian Fischer40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriGabriel Carlsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex TuchJames Sheppard60122
2Garret RossBorna Rendulic40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriGabriel Carlsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Tuch60122Connor MurphyDylan McIlrath60122
2James Sheppard40122Julian MelchioriGabriel Carlsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex TuchJames Sheppard60122
2Garret RossBorna Rendulic40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriGabriel Carlsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TuchJoe LabateBorna RendulicConnor MurphyDylan McIlrath
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex TuchJoe LabateBorna RendulicConnor MurphyDylan McIlrath
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Glennie, Josh Archibald, Tyrell GoulbourneScott Glennie, Josh ArchibaldTyrell Goulbourne
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Slater Koekkoek, Alexander Yelesin, Julian MelchioriSlater KoekkoekAlexander Yelesin, Julian Melchiori
Tirs de pénalité
Alex Tuch, James Sheppard, Garret Ross, Borna Rendulic, Christian Fischer
Gardien
#1 : Pavel Francouz, #2 : Sean Maguire


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
1Admirals4310000017134220000008622110000097260.7501725420083120121101408508938653813143448112216.67%21480.95%0823176346.68%803172146.66%664136348.72%166991217007601463718
2Barracuda211000009721010000045-11100000052320.500917260083120121106885089386538672422436233.33%11190.91%0823176346.68%803172146.66%664136348.72%166991217007601463718
3Bears6230100030291312000001217-5311010001812660.50030538300831201211017785089386538220909714416425.00%41880.49%0823176346.68%803172146.66%664136348.72%166991217007601463718
4Comets302001001015-51010000035-220100100710-310.167101929008312012110104850893865389831267210330.00%13376.92%1823176346.68%803172146.66%664136348.72%166991217007601463718
5Condors21100000814-61010000019-81100000075220.5008122000831201211074850893865387416254410110.00%10550.00%0823176346.68%803172146.66%664136348.72%166991217007601463718
6Crunch31200000111011010000023-12110000097220.33311162700831201211087850893865381013226649222.22%140100.00%1823176346.68%803172146.66%664136348.72%166991217007601463718
7Devils651000002315832100000963330000001495100.83323386100831201211018685089386538186695213525312.00%26484.62%0823176346.68%803172146.66%664136348.72%166991217007601463718
8Eagles30300000718-111010000027-520200000511-600.0007142100831201211011385089386538903634738225.00%17664.71%0823176346.68%803172146.66%664136348.72%166991217007601463718
9Griffins20200000413-91010000018-71010000035-200.00048120083120121105685089386538662112406116.67%6266.67%0823176346.68%803172146.66%664136348.72%166991217007601463718
10Heat320000101798110000008352100001096361.000172542008312012110968508938653810132295510220.00%12191.67%3823176346.68%803172146.66%664136348.72%166991217007601463718
11Icehogs54000001312011220000001293320000011911890.90031467700831201211017585089386538173571612219421.05%8187.50%1823176346.68%803172146.66%664136348.72%166991217007601463718
12Little Stars422000001316-31010000046-232100000910-140.5001324370083120121101278508938653813147168715213.33%8362.50%0823176346.68%803172146.66%664136348.72%166991217007601463718
13Marlies20200000516-111010000027-51010000039-600.00059140083120121104585089386538782714506233.33%7185.71%0823176346.68%803172146.66%664136348.72%166991217007601463718
14Monsters2110000013121110000007431010000068-220.5001322350083120121107885089386538711922467571.43%11281.82%0823176346.68%803172146.66%664136348.72%166991217007601463718
15Moose20200000614-81010000045-11010000029-700.000611170083120121105685089386538812326397114.29%13469.23%0823176346.68%803172146.66%664136348.72%166991217007601463718
16Penguins320000011275210000017611100000051450.833122032008312012110104850893865389833166315320.00%80100.00%0823176346.68%803172146.66%664136348.72%166991217007601463718
17Phantoms220000001257110000008351100000042241.00012193100831201211067850893865387818183110220.00%9277.78%1823176346.68%803172146.66%664136348.72%166991217007601463718
18Punishers312000001415-12110000010911010000046-220.3331424380083120121101098508938653810730187113215.38%9455.56%0823176346.68%803172146.66%664136348.72%166991217007601463718
19Rampage430000011612432000001131031100000032170.8751630460083120121101408508938653814951268312216.67%14285.71%0823176346.68%803172146.66%664136348.72%166991217007601463718
20Reign2100000111101110000006421000000156-130.75011203100831201211072850893865387318163810330.00%8362.50%0823176346.68%803172146.66%664136348.72%166991217007601463718
21Rocket21100000912-3110000006331010000039-620.500918270083120121106685089386538572213448225.00%40100.00%0823176346.68%803172146.66%664136348.72%166991217007601463718
22Senators211000009451010000013-21100000081720.500917260083120121106285089386538562018477114.29%9277.78%2823176346.68%803172146.66%664136348.72%166991217007601463718
23Thunderbirds32001000963210010006421100000032161.00091322008312012110104850893865389043327511218.18%16193.75%1823176346.68%803172146.66%664136348.72%166991217007601463718
24Wolfpack412010001520-530201000918-91100000062440.5001525400083120121101368508938653814241368117317.65%18572.22%0823176346.68%803172146.66%664136348.72%166991217007601463718
25Wolves614000101826-830200010812-4312000001014-440.3331828460083120121101818508938653817757541422528.00%27581.48%1823176346.68%803172146.66%664136348.72%166991217007601463718
Total80373303124329338-940171802012153172-194020150111217616610890.556329553882008312012110262385089386538269590070817702945819.73%3406979.71%11823176346.68%803172146.66%664136348.72%166991217007601463718
_Since Last GM Reset80373303124329338-940171802012153172-194020150111217616610890.556329553882008312012110262385089386538269590070817702945819.73%3406979.71%11823176346.68%803172146.66%664136348.72%166991217007601463718
_Vs Conference48202103112178189-11258120201285103-18231290110093867510.531178304482008312012110156885089386538158956043310901763017.05%2114180.57%4823176346.68%803172146.66%664136348.72%166991217007601463718
_Vs Division18880101071701935000102935-69530100042357200.556711191900083120121105448508938653858321620342166913.64%941781.91%1823176346.68%803172146.66%664136348.72%166991217007601463718

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089OTW132955388226232695900708177000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8037333124329338
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017182012153172
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4020151112176166
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2945819.73%3406979.71%11
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
850893865388312012110
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
823176346.68%803172146.66%664136348.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166991217007601463718


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
3 - 2021-12-0210Sound Tigers4Devils3AWSommaire du match
6 - 2021-12-0523Rampage4Sound Tigers3BLXXSommaire du match
8 - 2021-12-0733Wolves4Sound Tigers1BLSommaire du match
10 - 2021-12-0950Sound Tigers3Wolves6ALSommaire du match
12 - 2021-12-1158Bears6Sound Tigers3BLSommaire du match
14 - 2021-12-1369Sound Tigers7Icehogs2AWSommaire du match
20 - 2021-12-1991Devils2Sound Tigers4BWSommaire du match
23 - 2021-12-22109Wolfpack9Sound Tigers3BLSommaire du match
24 - 2021-12-23115Sound Tigers4Little Stars8ALSommaire du match
27 - 2021-12-26134Thunderbirds2Sound Tigers3BWSommaire du match
29 - 2021-12-28142Sound Tigers1Wolves4ALSommaire du match
32 - 2021-12-31160Penguins4Sound Tigers3BLXXSommaire du match
34 - 2022-01-02172Sound Tigers7Bears1AWSommaire du match
36 - 2022-01-04180Sound Tigers5Heat4AWXXSommaire du match
38 - 2022-01-06193Icehogs5Sound Tigers7BWSommaire du match
40 - 2022-01-08209Monsters4Sound Tigers7BWSommaire du match
45 - 2022-01-13236Griffins8Sound Tigers1BLSommaire du match
47 - 2022-01-15249Sound Tigers6Devils4AWSommaire du match
49 - 2022-01-17262Senators3Sound Tigers1BLSommaire du match
52 - 2022-01-20274Sound Tigers4Comets6ALSommaire du match
54 - 2022-01-22286Sound Tigers2Moose9ALSommaire du match
56 - 2022-01-24293Sound Tigers2Eagles4ALSommaire du match
57 - 2022-01-25299Thunderbirds2Sound Tigers3BWXSommaire du match
60 - 2022-01-28315Bears4Sound Tigers5BWSommaire du match
61 - 2022-01-29325Sound Tigers8Senators1AWSommaire du match
64 - 2022-02-01339Sound Tigers5Barracuda2AWSommaire du match
66 - 2022-02-03350Penguins2Sound Tigers4BWSommaire du match
68 - 2022-02-05359Sound Tigers4Heat2AWSommaire du match
70 - 2022-02-07370Sound Tigers4Punishers6ALSommaire du match
72 - 2022-02-09383Moose5Sound Tigers4BLSommaire du match
74 - 2022-02-11393Sound Tigers3Comets4ALXSommaire du match
76 - 2022-02-13406Comets5Sound Tigers3BLSommaire du match
79 - 2022-02-16417Sound Tigers4Phantoms2AWSommaire du match
82 - 2022-02-19433Rocket3Sound Tigers6BWSommaire du match
84 - 2022-02-21440Sound Tigers5Penguins1AWSommaire du match
86 - 2022-02-23448Sound Tigers5Admirals2AWSommaire du match
88 - 2022-02-25461Heat3Sound Tigers8BWSommaire du match
91 - 2022-02-28481Barracuda5Sound Tigers4BLSommaire du match
94 - 2022-03-03493Sound Tigers3Marlies9ALSommaire du match
96 - 2022-03-05507Sound Tigers3Griffins5ALSommaire du match
98 - 2022-03-07513Little Stars6Sound Tigers4BLSommaire du match
100 - 2022-03-09525Sound Tigers3Crunch4ALSommaire du match
103 - 2022-03-12539Sound Tigers6Wolfpack2AWSommaire du match
104 - 2022-03-13543Rampage3Sound Tigers4BWSommaire du match
108 - 2022-03-17563Sound Tigers5Bears4AWXSommaire du match
110 - 2022-03-19569Crunch3Sound Tigers2BLSommaire du match
114 - 2022-03-23588Condors9Sound Tigers1BLSommaire du match
117 - 2022-03-26603Sound Tigers3Eagles7ALSommaire du match
120 - 2022-03-29616Devils2Sound Tigers4BWSommaire du match
123 - 2022-04-01634Sound Tigers8Icehogs4AWSommaire du match
124 - 2022-04-02642Eagles7Sound Tigers2BLSommaire du match
127 - 2022-04-05657Sound Tigers3Thunderbirds2AWSommaire du match
128 - 2022-04-06668Rampage3Sound Tigers6BWSommaire du match
131 - 2022-04-09687Sound Tigers6Crunch3AWSommaire du match
133 - 2022-04-11695Devils2Sound Tigers1BLSommaire du match
135 - 2022-04-13706Sound Tigers4Admirals5ALSommaire du match
137 - 2022-04-15717Sound Tigers5Reign6ALXXSommaire du match
138 - 2022-04-16723Punishers6Sound Tigers5BLSommaire du match
140 - 2022-04-18738Sound Tigers6Wolves4AWSommaire du match
143 - 2022-04-21750Wolves3Sound Tigers4BWXXSommaire du match
146 - 2022-04-24769Sound Tigers6Bears7ALSommaire du match
148 - 2022-04-26777Punishers3Sound Tigers5BWSommaire du match
150 - 2022-04-28790Sound Tigers3Rocket9ALSommaire du match
152 - 2022-04-30800Bears7Sound Tigers4BLSommaire du match
155 - 2022-05-03816Sound Tigers4Icehogs5ALXXSommaire du match
157 - 2022-05-05829Admirals3Sound Tigers4BWSommaire du match
160 - 2022-05-08850Admirals3Sound Tigers4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2022-05-10858Sound Tigers7Condors5AWSommaire du match
165 - 2022-05-13875Wolfpack7Sound Tigers3BLSommaire du match
168 - 2022-05-16891Sound Tigers6Monsters8ALSommaire du match
172 - 2022-05-20905Reign4Sound Tigers6BWSommaire du match
176 - 2022-05-24926Marlies7Sound Tigers2BLSommaire du match
180 - 2022-05-28948Phantoms3Sound Tigers8BWSommaire du match
183 - 2022-05-31960Sound Tigers3Little Stars1AWSommaire du match
185 - 2022-06-02974Icehogs4Sound Tigers5BWSommaire du match
188 - 2022-06-05987Sound Tigers2Little Stars1AWSommaire du match
190 - 2022-06-07996Wolves5Sound Tigers3BLSommaire du match
192 - 2022-06-091006Sound Tigers4Devils2AWSommaire du match
196 - 2022-06-131020Sound Tigers3Rampage2AWSommaire du match
199 - 2022-06-161039Wolfpack2Sound Tigers3BWXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance73,89437,297
Assistance PCT92.37%93.24%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2780 - 92.66% 82,576$3,303,030$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,982,998$ 1,762,500$ 1,385,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,812$ 1,731,748$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,062$ 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