Sound Tigers

GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 8 | GA: 8 | PP%: 19.23% | PK%: 82.14%
DG: Pascal Labarre | Morale : 51 | Moyenne d'Équipe : N/A
Prochain matchs #69 vs Bruins
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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
1Andrew PoturalskiX100.0068557262736567625060606055667115200
2Branden TroockX100.0056555555575859555055555555727515200
3Spencer Foo (R)X100.0071557582686269625060626055505015200
4Samy BlaisX100.0065556670606371695061615555505015200
5Andrew DesjardinsX100.0056555555585959555055555555717015200
6Michael Dal ColleX100.0079557671756982625060606055505015200
7David BrollX100.0058555760807573555055555755737315200
8Markus HannikainenX100.0076556771696654685060616055505015200
9Travis BoydX100.0060556972676276617161606055505015200
10Radel Fazleev (R)X100.0066556563676273555055555655505015200
11Cody McLeodX100.0091555770857574665063626655717115200
12Daniel CiampiniX100.0065556763736454555055555655717515300
13Ryan RupertX100.0060555962656165555055555755505015200
14Aaron NessX100.0061556269677266632561606455535315200
15Patrick WierciochX100.0060556577836680622560605955757315200
16Joel HanleyX100.0056555660565669562556565655535315200
17Evan McEneny (R)X100.0055555560555564552555555555535315200
18Scott HarringtonX100.0076558678807359682562647355535315200
19Ryan StantonX100.0055555560555562552555555555606015200
Rayé
1Harry ZolnierczykX100.0056555555565756555055555555555514600
2Max FribergX100.0056555555555555555055555555505014600
3Turner ElsonX100.0059556961686460555055555855505014600
4Jordan Samuels-ThomasX100.0056555555555655555055555555505014600
5Gavin Bayreuther (R)X100.0059555560555557552555555555535314600
6Nelson Nogier (R)X100.0055555560555568552555555555535314600
7Andrew O'BrienX100.0055555560555563552555555555535314600
MOYENNE D'ÉQUIPE100.006355626465626559425757585557571500
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
1Cam Ward100.008082837978787770798055949614900
2Antoine Bibeau100.005978828162626563676255606215200
Rayé
1Harri Sateri100.006668857667726271706855606014600
2Matthew O'Connor100.005977818062626262676155586014600
3Mason McDonald (R)100.005555555555555555555555505514600
MOYENNE D'ÉQUIPE100.00647277746566646468655564671480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins70937282756068USA5161,600,000$


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'ÉquipePOS GP 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
1Patrick WierciochSound Tigers (NYI)D4134-3804742525.00%59523.96134221000019000.00%000000.8300000000
2Scott HarringtonSound Tigers (NYI)D41341100511102210.00%39423.54123819000016000.00%000000.8500000001
3David BrollSound Tigers (NYI)LW41230004352220.00%17117.851124220000111044.44%900000.8400000100
4Markus HannikainenSound Tigers (NYI)LW40330007104630.00%07017.59022321000000056.00%5000000.8500000001
5Aaron NessSound Tigers (NYI)D4022-11005310110.00%39223.12011820000012000.00%000000.4300000000
6Andrew PoturalskiSound Tigers (NYI)C41121002683412.50%09323.371012190000180053.62%6900000.4300000020
7Cody McLeodSound Tigers (NYI)LW4112-1601515104310.00%49624.170115190000220050.91%11000000.4100000000
8Spencer FooSound Tigers (NYI)RW4101-1401532533.33%19223.221011160000190062.50%800000.2200000000
9Samy BlaisSound Tigers (NYI)LW41011200030033.33%1235.850001000009100.00%000000.8600000000
10Travis BoydSound Tigers (NYI)C41010403870614.29%05714.3400001000050150.00%800000.3500000100
11Branden TroockSound Tigers (NYI)RW4000020000000.00%0102.580000200000000.00%000000.0000000000
12Andrew DesjardinsSound Tigers (NYI)RW4000000000000.00%000.150000000000000.00%000000.0000000000
13Michael Dal ColleSound Tigers (NYI)LW4000-200235330.00%05914.92000221000000050.00%800000.0000000000
14Joel HanleySound Tigers (NYI)D4000240623220.00%89323.45000117000018000.00%000000.0000000000
15Radel FazleevSound Tigers (NYI)LW4000000435210.00%04812.2300008000000050.00%400000.0000000000
16Evan McEnenySound Tigers (NYI)D4000020200010.00%3399.830000700004000.00%000000.0000000000
17Daniel CiampiniSound Tigers (NYI)C4000055144000.00%04812.1500000000010074.19%3100000.0000001000
18Ryan RupertSound Tigers (NYI)C4000000000000.00%030.830000000000000.00%200000.0000000000
19Ryan StantonSound Tigers (NYI)D4000060611110.00%66416.0200003000020000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne7681523-363567818230399.76%35115615.22510153722300001802154.52%29900000.4000001222
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
1Cam WardSound Tigers (NYI)42200.8961.98242208770000.000040000
Stats d'équipe Total ou en Moyenne42200.8961.98242208770000.000040000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Aaron NessSound Tigers (NYI)D261990-05-17No187 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Andrew DesjardinsSound Tigers (NYI)RW301986-07-26No195 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm400,000$0$0$No400,000$
Andrew O'BrienSound Tigers (NYI)D241992-11-20No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew PoturalskiSound Tigers (NYI)C221994-01-14No190 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Antoine BibeauSound Tigers (NYI)G221994-04-30No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Branden TroockSound Tigers (NYI)RW221994-03-19No215 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Cam WardSound Tigers (NYI)G321984-02-29No185 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,500,000$0$0$No
Cody McLeodSound Tigers (NYI)LW321984-06-26No210 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm498,000$0$0$No498,000$498,000$498,000$
Daniel CiampiniSound Tigers (NYI)C261990-11-05No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
David BrollSound Tigers (NYI)LW241993-01-04No216 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Evan McEnenySound Tigers (NYI)D221994-05-22Yes203 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Gavin BayreutherSound Tigers (NYI)D221994-05-12Yes194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Harri SateriSound Tigers (NYI)G271989-12-29No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Harry ZolnierczykSound Tigers (NYI)LW291987-09-01No185 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Joel HanleySound Tigers (NYI)D251991-06-08No181 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Jordan Samuels-ThomasSound Tigers (NYI)LW261990-05-28No195 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Markus HannikainenSound Tigers (NYI)LW231993-03-26No189 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Mason McDonaldSound Tigers (NYI)G261990-04-23Yes201 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Matthew O'ConnorSound Tigers (NYI)G241992-02-14No186 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Max FribergSound Tigers (NYI)LW241992-11-19No200 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Michael Dal ColleSound Tigers (NYI)LW201996-06-20No198 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Nelson NogierSound Tigers (NYI)D201996-05-27Yes191 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Patrick WierciochSound Tigers (NYI)D261990-09-11No206 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Radel FazleevSound Tigers (NYI)LW211996-01-07Yes176 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Ryan RupertSound Tigers (NYI)C221994-06-01No185 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Ryan StantonSound Tigers (NYI)D271989-07-19No196 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Samy BlaisSound Tigers (NYI)LW201996-06-16No164 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Scott HarringtonSound Tigers (NYI)D231993-03-09No201 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Spencer FooSound Tigers (NYI)RW231994-01-01Yes190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Travis BoydSound Tigers (NYI)C231993-09-14No185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Turner ElsonSound Tigers (NYI)LW241992-09-12No185 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3124.42194 Lbs6 ft12.42435,419$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Spencer FooCody McLeodMichael Dal Colle40122
2Andrew PoturalskiMarkus HannikainenTravis Boyd30122
3Cody McLeodAndrew PoturalskiDavid Broll20122
4Radel FazleevDaniel CiampiniSpencer Foo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyScott Harrington40122
2Patrick WierciochAaron Ness30122
3Scott HarringtonJoel Hanley20122
4Joel HanleyRyan Stanton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael Dal ColleCody McLeodSpencer Foo60122
2Markus HannikainenAndrew PoturalskiDavid Broll40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Aaron NessJoel Hanley60122
2Patrick WierciochScott Harrington40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cody McLeodSpencer Foo60122
2Andrew PoturalskiDavid Broll40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel HanleyRyan Stanton60122
2Scott HarringtonPatrick Wiercioch40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Patrick WierciochScott Harrington60122
2Cody McLeod40122Joel HanleyRyan Stanton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1David BrollCody McLeod60122
2Andrew PoturalskiSpencer Foo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott HarringtonJoel Hanley60122
2Patrick WierciochAaron Ness40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCody McLeodSpencer FooScott HarringtonPatrick Wiercioch
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael Dal ColleCody McLeodSpencer FooScott HarringtonPatrick Wiercioch
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
David Broll, Daniel Ciampini, Andrew PoturalskiAndrew Poturalski, Radel FazleevAndrew Poturalski
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Wiercioch, Scott Harrington, Joel HanleyJoel HanleyScott Harrington, Joel Hanley
Tirs de Pénalité
David Broll, Daniel Ciampini, Radel Fazleev, Andrew Poturalski, Cody McLeod
Gardien
#1 : Cam Ward, #2 : Antoine Bibeau


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
1Americans21001000532210010005320000000000041.000510150031313937232025023323814321.43%15286.67%07412957.36%6011751.28%295058.00%936399315023
2Bears1010000023-1000000000001010000023-100.00023500313130372320215316176116.67%7271.43%07412957.36%6011751.28%295058.00%936399315023
3Phantoms1010000012-1000000000001010000012-100.00012300313113372320212917126116.67%6183.33%07412957.36%6011751.28%295058.00%936399315023
Total41201000880210010005322020000035-240.500815230031318237232027735656726519.23%28582.14%07412957.36%6011751.28%295058.00%936399315023
_Since Last GM Reset41201000880210010005322020000035-240.500815230031318237232027735656726519.23%28582.14%07412957.36%6011751.28%295058.00%936399315023
_Vs Conference2020000035-2000000000002020000035-200.0003580031314337232022712332912216.67%13376.92%07412957.36%6011751.28%295058.00%936399315023
_Vs Division20100000532200000005320010000000000.000510150031313937232025023323814321.43%15286.67%07412957.36%6011751.28%295058.00%936399315023

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
44OTW181523827735656700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
412100088
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210100053
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000035
Derniers 10 Matchs
WLOTWOTL SOWSOL
121000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
26519.23%28582.14%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
37232023131
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
7412957.36%6011751.28%295058.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
936399315023


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
4 - 2018-09-0813Sound Tigers1Phantoms2LSommaire du Match
5 - 2018-09-0926Sound Tigers2Bears3LSommaire du Match
11 - 2018-09-1543Americans2Sound Tigers3WSommaire du Match
12 - 2018-09-1658Americans1Sound Tigers2WXSommaire du Match
17 - 2018-09-2169Bruins-Sound Tigers-
18 - 2018-09-2288Sound Tigers-Bruins-
19 - 2018-09-2396Phantoms-Sound Tigers-
25 - 2018-09-29126Sound Tigers-Wolf Pack-
26 - 2018-09-30131Sound Tigers-Bruins-
31 - 2018-10-05144Sound Tigers-Thunderbirds-
32 - 2018-10-06155Thunderbirds-Sound Tigers-
33 - 2018-10-07167Penguins-Sound Tigers-
36 - 2018-10-10173Devils-Sound Tigers-
39 - 2018-10-13194Bruins-Sound Tigers-
40 - 2018-10-14205Checkers-Sound Tigers-
43 - 2018-10-17215Sound Tigers-Wolf Pack-
45 - 2018-10-19230Sound Tigers-Rocket-
46 - 2018-10-20236Sound Tigers-Senators-
52 - 2018-10-26264Wolf Pack-Sound Tigers-
53 - 2018-10-27285Sound Tigers-Wolf Pack-
54 - 2018-10-28291Thunderbirds-Sound Tigers-
57 - 2018-10-31303Sound Tigers-Thunderbirds-
60 - 2018-11-03322Bruins-Sound Tigers-
61 - 2018-11-04333Sound Tigers-Thunderbirds-
64 - 2018-11-07340Wolf Pack-Sound Tigers-
67 - 2018-11-10362Sound Tigers-Penguins-
73 - 2018-11-16393Sound Tigers-Bruins-
74 - 2018-11-17403Thunderbirds-Sound Tigers-
75 - 2018-11-18416Penguins-Sound Tigers-
78 - 2018-11-21428Sound Tigers-Penguins-
80 - 2018-11-23435Sound Tigers-Checkers-
81 - 2018-11-24454Sound Tigers-Checkers-
86 - 2018-11-29471Wolf Pack-Sound Tigers-
87 - 2018-11-30480Sound Tigers-Thunderbirds-
88 - 2018-12-01487Sound Tigers-Wolf Pack-
92 - 2018-12-05512Sound Tigers-Americans-
94 - 2018-12-07518Sound Tigers-Crunch-
95 - 2018-12-08538Sound Tigers-Devils-
101 - 2018-12-14562Sound Tigers-Comets-
102 - 2018-12-15576Wolf Pack-Sound Tigers-
105 - 2018-12-18594Sound Tigers-Checkers-
106 - 2018-12-19595Sound Tigers-Checkers-
109 - 2018-12-22620Bruins-Sound Tigers-
110 - 2018-12-23632Bears-Sound Tigers-
113 - 2018-12-26645Penguins-Sound Tigers-
116 - 2018-12-29671Phantoms-Sound Tigers-
122 - 2019-01-04683Phantoms-Sound Tigers-
123 - 2019-01-05703Sound Tigers-Penguins-
126 - 2019-01-08712Sound Tigers-Wolf Pack-
129 - 2019-01-11724Sound Tigers-Bruins-
130 - 2019-01-12736Bruins-Sound Tigers-
131 - 2019-01-13748Comets-Sound Tigers-
136 - 2019-01-18771Sound Tigers-Phantoms-
137 - 2019-01-19780Wolf Pack-Sound Tigers-
138 - 2019-01-20794Checkers-Sound Tigers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25821Sound Tigers-Bruins-
144 - 2019-01-26831Thunderbirds-Sound Tigers-
145 - 2019-01-27840Bears-Sound Tigers-
151 - 2019-02-02870Sound Tigers-Bears-
152 - 2019-02-03883Sound Tigers-Phantoms-
157 - 2019-02-08904Sound Tigers-Americans-
159 - 2019-02-10927Sound Tigers-Marlies-
165 - 2019-02-16956Sound Tigers-Bears-
166 - 2019-02-17969Thunderbirds-Sound Tigers-
169 - 2019-02-20977Marlies-Sound Tigers-
172 - 2019-02-231002Senators-Sound Tigers-
173 - 2019-02-241013Crunch-Sound Tigers-
176 - 2019-02-271018Checkers-Sound Tigers-
179 - 2019-03-021039Checkers-Sound Tigers-
180 - 2019-03-031054Bears-Sound Tigers-
182 - 2019-03-051058Penguins-Sound Tigers-
185 - 2019-03-081075Sound Tigers-Bruins-
186 - 2019-03-091087Bruins-Sound Tigers-
190 - 2019-03-131107Rocket-Sound Tigers-
192 - 2019-03-151120Sound Tigers-Thunderbirds-
193 - 2019-03-161134Sound Tigers-Penguins-



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
125,284$ 134,980$ 133,958$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 9,826$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 180 8,943$ 1,609,740$




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
1341201000880210010005322020000035-24815230031318237232027735656726519.23%28582.14%07412957.36%6011751.28%295058.00%936399315023
Total Saison Régulière41201000880210010005322020000035-24815230031318237232027735656726519.23%28582.14%07412957.36%6011751.28%295058.00%936399315023