Griffins
GP: 4 | W: 0 | L: 4
GF: 15 | GA: 22 | PP%: 28.00% | PK%: 60.00%
DG: Éric Poulin | Morale : 10 | Moyenne d'Équipe : 64
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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
1Tye McGinn (R) (A)X100.007633777581678074697876656469673771720252950,000$
2Ben Hanowski (R)X100.007328777176737973696878646863583871700251900,000$
3Riley Armstrong (C)X100.007838677269576181667370716177751738700311500,000$
4Max Domi (R)X100.006432797367707976818475565746446939700203950,000$
5Dylan Larkin (R)X100.006130828658766080707170608244437071690191500,000$
6Danny Kristo (R)X100.006835727569717074707271677749473763690252750,000$
7Brandon Pirri (R)X100.006829727073757075716776607049464066680241750,000$
8Brendan Woods (R)X100.005727827175826663707665746449484350680232750,000$
9Adam Gaudette (R)X100.006040787351685277616475628043427857660192500,000$
10Rourke Chartier (R)X100.005933727253685772646764527741417459630191500,000$
11Sonny Milano (R)X100.005430707654695475626663517541417071620191500,000$
12Mathew Barzal (R)X100.005038806456697161797664454840409250610182500,000$
13Simon Despres (R)X100.007434797575747767627566756361464171720242950,000$
14Phil OreskovicX100.007038746973766773477360765970502371700281900,000$
15Jordie Benn (A)X100.006924767273707571457067755467612560700282900,000$
16Travis Sanheim (R)X100.005825747756636877368464635243417061670191500,000$
17Ryan Pulock (R)X100.006826826358717564416974666750456349660213700,000$
18Marcus Pettersson (R)X100.006430798057646676377754654944417362660191500,000$
Rayé
1Vladislav Namestnikov (R)X100.006630786374706870677171526752544221660232600,000$
2Garrett Wilson (R)X100.006440707459646473667264656146463020650242500,000$
3Greg McKegg (R)X100.005834747160596071616967546345453720630231650,000$
4Tanner Kero (R)X100.006233656664676866566372466553533920620233500,000$
5Mathieu Joseph (R)X100.006837596369526867475967585640407235600182500,000$
6Troy Terry (R)X100.005529756851594769575958566940407520590182500,000$
7Tomas Hyka (R)X100.005630695757575755737660505244453820580223450,000$
8Michael Bunting (R)X100.006639585973496860535664484941415721570191500,000$
9Jack Ramsey (R)X100.004336745559706049596056514641415621550191500,000$
10Nikita Pavlychev (R)X100.00339563540424738354428294340404421360182500,000$
11Dylan DeMelo (R)X100.006423797469656770457158645545445020650221300,000$
12Ian McCoshen (R)X100.006441757367646265556962675942425921650204600,000$
13Konrad Abeltshauser (R)X100.005847706767715752366553644845453620610233500,000$
14Ryan Mantha (R)X100.004927585960564844414253474241416321490191500,000$
MOYENNE D'ÉQUIPE100.00623273696466656758686559614947524364
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
1Olivier Roy100.00728271736671777867736451473671700
2Igor Shesterkin100.00686380605874826061786342417271660
Rayé
1Marcus Hogberg100.00567255697160677569595244434521650
MOYENNE D'ÉQUIPE100.0065726967656875716670604644515467
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller79747283346760CAN453850,000$


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
1Max DomiGriffins (Det)LW4167-1007312578.33%17117.85033117000000033.33%921001.9600000001
2Dylan LarkinGriffins (Det)C4336-520651441921.43%08521.27314317000000049.57%11541001.4100000000
3Tye McGinnGriffins (Det)LW4235-520109179611.76%08621.74235317000010050.00%842001.1500000100
4Riley ArmstrongGriffins (Det)C4134-10056178135.88%56917.46112315000000050.91%5542001.1500000000
5Danny KristoGriffins (Det)RW43141204572342.86%14711.8500000000040053.33%1520001.6900000000
6Brandon PirriGriffins (Det)LW4033000452470.00%36215.70011015000020080.00%521000.9600000000
7Adam GaudetteGriffins (Det)RW4303-1207383737.50%36917.30101215000000060.00%531000.8700000000
8Mathew BarzalGriffins (Det)C412300041111100.00%06015.10011012000000054.55%2200000.9900000000
9Phil OreskovicGriffins (Det)D4022-100244120.00%55914.920000000003000.00%011000.6700000000
10Jordie BennGriffins (Det)D4022-520738320.00%89323.3902202100004000.00%002000.4300000000
11Travis SanheimGriffins (Det)D4101-4404570214.29%58521.2800001200000000.00%023000.2300000000
12Ben HanowskiGriffins (Det)RW4000-620539460.00%16817.18000000000000100.00%123000.0000000000
13Simon DespresGriffins (Det)D4000-400381410.00%67619.070000000005000.00%022000.0000000000
14Brendan WoodsGriffins (Det)LW4000-400333220.00%0399.750000000006000.00%000000.0000000000
15Ryan PulockGriffins (Det)D4000-100150100.00%26015.130000000003000.00%021000.0000000000
16Marcus PetterssonGriffins (Det)D4000-520334310.00%28922.4500002100000000.00%025000.0000000000
17Rourke ChartierGriffins (Det)C4000-400241120.00%1328.0800000000000070.00%1021000.0000000000
18Sonny MilanoGriffins (Det)LW4000-420404050.00%1328.160000000000000.00%022000.0000000000
Stats d'équipe Total ou en Moyenne72152540-502008175119558612.61%44119016.5471219121670000360051.84%2453628000.6700000101
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
1Olivier RoyGriffins (Det)40210.8524.1918600138845000.000022000
2Igor ShesterkinGriffins (Det)20100.71910.00540093217000.000022000
Stats d'équipe Total ou en Moyenne60310.8175.50240002212062000.000044000


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 RestantCap 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
Adam GaudetteGriffins (Det)RW191996-01-01Yes170 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ben HanowskiGriffins (Det)RW251990-01-01Yes210 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Brandon PirriGriffins (Det)LW241991-01-01Yes183 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Brendan WoodsGriffins (Det)LW231992-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No900,000$
Danny KristoGriffins (Det)RW251990-01-01Yes172 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$
Dylan DeMeloGriffins (Det)D221993-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$No
Dylan LarkinGriffins (Det)C191996-01-01Yes198 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Garrett WilsonGriffins (Det)LW241991-01-01Yes199 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Greg McKeggGriffins (Det)C231992-01-01Yes191 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Ian McCoshenGriffins (Det)D201995-01-01Yes185 Lbs6 ft3NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Igor ShesterkinGriffins (Det)G191996-01-01No187 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Jack RamseyGriffins (Det)RW191996-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Jordie BennGriffins (Det)D281987-01-01No200 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
Konrad AbeltshauserGriffins (Det)D231992-01-01Yes225 Lbs6 ft5NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Marcus HogbergGriffins (Det)G211994-01-01No185 Lbs6 ft4NoNoNo4Pro & Farm500,000$0$0$No500,000$600,000$600,000$
Marcus PetterssonGriffins (Det)D191996-01-01Yes177 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Mathew BarzalGriffins (Det)C181997-01-01Yes187 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mathieu JosephGriffins (Det)RW181997-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Max DomiGriffins (Det)LW201995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No1,750,000$2,000,000$
Michael BuntingGriffins (Det)LW191996-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Nikita PavlychevGriffins (Det)C181997-01-01Yes225 Lbs6 ft7NoNoNo2Pro & Farm500,000$0$0$No500,000$
Olivier RoyGriffins (Det)G241991-01-01No184 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No975,000$
Phil OreskovicGriffins (Det)D281987-01-01No217 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$No
Riley ArmstrongGriffins (Det)C311984-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Rourke ChartierGriffins (Det)C191996-01-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Ryan ManthaGriffins (Det)D191996-01-01Yes229 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Ryan PulockGriffins (Det)D211994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Simon DespresGriffins (Det)D241991-01-01Yes214 Lbs6 ft4NoNoNo2Pro & Farm950,000$0$0$No1,450,000$
Sonny MilanoGriffins (Det)LW191996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Tanner KeroGriffins (Det)C231992-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Tomas HykaGriffins (Det)RW221993-01-01Yes160 Lbs5 ft10NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Travis SanheimGriffins (Det)D191996-01-01Yes181 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Troy TerryGriffins (Det)RW181997-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tye McGinnGriffins (Det)LW251990-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No1,750,000$
Vladislav NamestnikovGriffins (Det)C231992-01-01Yes180 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No600,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3521.74193 Lbs6 ft11.83612,857$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tye McGinnDylan LarkinBen Hanowski40023
2Max DomiRiley ArmstrongAdam Gaudette30023
3Brandon PirriMathew BarzalDanny Kristo20023
4Sonny MilanoRourke ChartierBrendan Woods10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimSimon Despres35032
2Marcus PetterssonJordie Benn35032
3Ryan PulockPhil Oreskovic15032
4Ryan PulockPhil Oreskovic15032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tye McGinnDylan LarkinMax Domi60014
2Brandon PirriRiley ArmstrongAdam Gaudette40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordie BennMarcus Pettersson60023
2Mathew BarzalTravis Sanheim40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Danny KristoBrendan Woods60041
2Ben HanowskiTye McGinn40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordie BennSimon Despres60122
2Phil OreskovicRyan Pulock40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brendan Woods60041Jordie BennSimon Despres60122
2Danny Kristo40041Phil OreskovicRyan Pulock40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan LarkinTye McGinn60023
2Max DomiAdam Gaudette40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis SanheimSimon Despres60032
2Jordie BennMarcus Pettersson40032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tye McGinnDylan LarkinMax DomiMarcus PetterssonTravis Sanheim
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan WoodsTye McGinnDanny KristoPhil OreskovicSimon Despres
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan Larkin, Max Domi, Mathew BarzalSonny Milano, Danny KristoBrandon Pirri
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Travis Sanheim, Marcus Pettersson, Phil OreskovicSimon DespresMarcus Pettersson, Travis Sanheim
Tirs de Pénalité
Dylan Larkin, Brandon Pirri, Danny Kristo, Sonny Milano, Ben Hanowski
Gardien
#1 : Olivier Roy, #2 : Igor Shesterkin


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
1Admirals404000001522-72020000079-220200000813-500.000152540004650119424037012044208125728.00%10460.00%0569658.33%367746.75%357248.61%885180367038
Total404000001522-72020000079-220200000813-500.000152540004650119424037012044208125728.00%10460.00%0569658.33%367746.75%357248.61%885180367038
_Since Last GM Reset404000001522-72020000079-220200000813-500.000152540004650119424037012044208125728.00%10460.00%0569658.33%367746.75%357248.61%885180367038
_Vs Conference404000001522-72020000079-220200000813-500.000152540004650119424037012044208125728.00%10460.00%0569658.33%367746.75%357248.61%885180367038

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L115254011912044208100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
40400001522
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000079
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000813
Derniers 10 Matchs
WLOTWOTL SOWSOL
030100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
25728.00%10460.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
42403704650
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
569658.33%367746.75%357248.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
885180367038


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
1 - 2020-10-094Griffins4Admirals7LR1Sommaire du Match
2 - 2020-10-1012Griffins4Admirals6LSommaire du Match
3 - 2020-10-1120Admirals5Griffins4LXR1Sommaire du Match
4 - 2020-10-1228Admirals4Griffins3LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3520
Assistance3,9481,655
Assistance PCT98.70%82.75%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
38 2802 - 93.38% 89,922$179,844$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,145,000$ 2,073,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT