Comets
GP: 4 | W: 0 | L: 4
GF: 13 | GA: 24 | PP%: 26.32% | PK%: 70.00%
DG: Patrick Tremblay | Morale : 6 | Moyenne d'Équipe : 63
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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
1Taylor Beck (R)X100.007325787280776974777176607052474344700241900,000$
2Brandon Saad (C)X100.007230747577716569696980676353534954700232999,999$
3Dennis Everberg (R)X100.006935817677687373637471697149474457700231900,000$
4J.T. Brown (R) (A)X100.006937727374707373667473686455533652690251995,000$
5Brendan Gaunce (R)X100.005735727564717273768073536144436056670212800,000$
6Andrej Nestrasil (R)X100.006933767364727067757868526654543857670241700,000$
7Phil McRae (R)X100.007043736968677271676671646947473351670251600,000$
8Christoph Bertschy (R) (A)X100.005927787767736072636569637544435657660212600,000$
9Joshua Leivo (R)X100.006426787073717270696373596948444857660222850,000$
10Colton GilliesX100.007238717371627364666969686550492724660261700,000$
11Andrew Mangiapane (R)X100.006237705084657265667184487543416551650192500,000$
12Michael Ferland (R)X100.007164746580588267616364566346454254640232600,000$
13Nicholas Baptiste (R)X100.007140677072507071536970615842426126640204600,000$
14Jared Staal (R)X100.007231766067636968566062636248483039630251450,000$
15Alex Hutchings (R)X100.006321766563677065596069546654542942620251750,000$
16Mitch Callahan (R)X100.007234686869547063566866576046463142620242425,000$
17Denis Gurianov (R)X100.005027777059626869575780355940408624610182500,000$
18Tyler Graovac (R)X100.005531576349565865636161565544443942580221375,000$
19Seth Helgeson (R)X100.007963757285618172587163726067583525730251995,000$
20Wiley Sherman (R)X100.006236877468797466627563686447426825680203850,000$
21Nikita Tryamkin (R)X100.007035756371695770567665674744425618660201500,000$
22Taylor Aronson (R)X100.006521776958716870546463665753513728640241700,000$
23Tommy Vannelli (R)X100.005631836657605859416845654442425828600204400,000$
24Oliver Kylington (R)X100.005429707549546167277552604540406522600182500,000$
Rayé
1Taylor Leier (R)X100.004625745158585261485366486143434538550211600,000$
2Thomas DiPauli (R)X100.005228776460715347505651525143434627540211660,000$
3Jaedon Descheneau (R)X100.003937604949605852625961334242444224510201500,000$
4Juuso Riikola (R)X100.006451706873626563487360616048494444640222500,000$
5Michael Prapavessis (R)X100.005533776054556056326540634441416046580191500,000$
6Jeremy Roy (R)X100.004637485049445047245337403340406021460181500,000$
7Aaron Haydon (R)X100.004723524943424549455444424141415520460191500,000$
MOYENNE D'ÉQUIPE100.00623472666663666557666458594746483963
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
1Alexandar Georgiev (R)100.00528659747364717682735242437940700
2Thatcher Demko100.00686274495576765953796641416656630
Rayé
1Jake Paterson100.00604763635957485758546443434420560
MOYENNE D'ÉQUIPE100.0060656562626665646469614242633963
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter80736276527750CAN551800,000$


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
1J.T. BrownComets (Van)RW4235-100951041520.00%26315.95112210000070066.67%331001.5700000000
2Brendan GaunceComets (Van)C4134-21207419395.26%17819.59123414000030053.33%10512001.0200000000
3Taylor BeckComets (Van)LW4314-1001581611018.75%26416.15101110000070080.00%501001.2400000010
4Brandon SaadComets (Van)LW4134-31009812488.33%39423.500222140000130057.14%711000.8500000000
5Seth HelgesonComets (Van)D4134-26071285312.50%811228.10101316000017000.00%006000.7100000000
6Dennis EverbergComets (Van)RW4224-32068234118.70%19624.151237140001170052.27%4430000.8300000000
7Taylor AronsonComets (Van)D4022-240278010.00%27719.4001108000112000.00%003000.5200000000
8Nicholas BaptisteComets (Van)RW41121004372514.29%2266.7000000000000050.00%210001.4900000000
9Andrew MangiapaneComets (Van)LW41011008121150.00%0348.680000000006000.00%010000.5800000000
10Christoph BertschyComets (Van)C4011120412250.00%2287.0700000000000050.00%400000.7100000000
11Andrej NestrasilComets (Van)C4011-4001103350.00%0379.4300000000000072.22%1820000.5300000000
12Joshua LeivoComets (Van)RW4011-420531150.00%1379.4200000000000050.00%220000.5300000000
13Wiley ShermanComets (Van)D4011-220144320.00%810827.11000216000019000.00%035000.1800000000
14Phil McRaeComets (Van)C4101-22021052420.00%15413.58000010000000064.52%3110000.3700000000
15Nikita TryamkinComets (Van)D4011-240452210.00%47619.2000008000013000.00%003000.2600000000
16Juuso RiikolaComets (Van)D4000-340211100.00%14110.270000000000000.00%003000.0000000000
17Tommy VannelliComets (Van)D4000-120020000.00%0174.410000000003000.00%000000.0000000000
18Alex HutchingsComets (Van)LW4000000011000.00%0112.9700000000110000.00%400000.0000000000
19Oliver KylingtonComets (Van)D4000-140061210.00%34912.340000000005000.00%001000.0000000000
20Denis GurianovComets (Van)RW4000000000000.00%000.250000000000000.00%000000.0000000000
21Michael FerlandComets (Van)LW4000000000000.00%020.610000000000000.00%000000.0000000000
22Colton GilliesComets (Van)LW4000-440552230.00%1379.430000000000000.00%221000.0000000000
23Jared StaalComets (Van)RW4000000100000.00%020.530000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne92132336-3460092104127428910.24%42115512.5658132112500031370055.51%2272027000.6200000010
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
1Alexandar GeorgievComets (Van)40300.7836.9817200209244100.000040000
2Thatcher DemkoComets (Van)20100.8463.64660042611000.000004000
Stats d'équipe Total ou en Moyenne60400.7976.05238002411855100.000044000


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
Aaron HaydonComets (Van)D191996-01-01Yes213 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Alex HutchingsComets (Van)LW251990-01-01Yes178 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$No
Alexandar GeorgievComets (Van)G191996-01-01Yes178 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Andrej NestrasilComets (Van)C241991-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Andrew MangiapaneComets (Van)LW191996-01-01Yes184 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brandon SaadComets (Van)LW231992-01-01No202 Lbs6 ft1NoNoNo2Pro & Farm999,999$0$0$No1,100,000$
Brendan GaunceComets (Van)C211994-01-01Yes207 Lbs6 ft3NoNoNo2Pro & Farm800,000$0$0$No975,000$
Christoph BertschyComets (Van)C211994-01-01Yes182 Lbs5 ft10NoNoNo2Pro & Farm600,000$0$0$No700,000$
Colton GilliesComets (Van)LW261989-01-01No208 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
Denis GurianovComets (Van)RW181997-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dennis EverbergComets (Van)RW231992-01-01Yes205 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$No
J.T. BrownComets (Van)RW251990-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm995,000$0$0$No
Jaedon DescheneauComets (Van)RW201995-01-01Yes192 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Jake PatersonComets (Van)G211994-01-01No176 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Jared StaalComets (Van)RW251990-01-01Yes210 Lbs6 ft4NoNoNo1Pro & Farm450,000$0$0$No
Jeremy RoyComets (Van)D181997-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Joshua LeivoComets (Van)RW221993-01-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No975,000$
Juuso RiikolaComets (Van)D221993-01-01Yes189 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael FerlandComets (Van)LW231992-01-01Yes215 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Michael PrapavessisComets (Van)D191996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Mitch CallahanComets (Van)RW241991-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm425,000$0$0$No450,000$
Nicholas BaptisteComets (Van)RW201995-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Nikita TryamkinComets (Van)D201995-01-01Yes180 Lbs6 ft7NoNoNo1Pro & Farm500,000$0$0$No
Oliver KylingtonComets (Van)D181997-01-01Yes183 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Phil McRaeComets (Van)C251990-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Seth HelgesonComets (Van)D251990-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm995,000$0$0$No
Taylor AronsonComets (Van)D241991-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$No
Taylor BeckComets (Van)LW241991-01-01Yes203 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Taylor LeierComets (Van)LW211994-01-01Yes174 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
Thatcher DemkoComets (Van)G191996-01-01No192 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Thomas DiPauliComets (Van)C211994-01-01Yes188 Lbs5 ft11NoNoNo1Pro & Farm660,000$0$0$No
Tommy VannelliComets (Van)D201995-01-01Yes185 Lbs6 ft2NoNoNo4Pro & Farm400,000$0$0$No400,000$600,000$600,000$
Tyler GraovacComets (Van)C221993-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm375,000$0$0$No
Wiley ShermanComets (Van)D201995-01-01Yes185 Lbs6 ft6NoNoNo3Pro & Farm850,000$0$0$No950,000$950,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3421.65193 Lbs6 ft11.56627,941$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brandon SaadBrendan GaunceDennis Everberg55122
2Taylor BeckPhil McRaeJ.T. Brown25122
3Colton GilliesAndrej NestrasilJoshua Leivo15122
4Andrew MangiapaneChristoph BertschyNicholas Baptiste5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonWiley Sherman55122
2Nikita TryamkinTaylor Aronson25122
3Oliver Kylington15122
4Tommy VannelliSeth Helgeson5122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brandon SaadBrendan GaunceDennis Everberg60122
2Taylor BeckPhil McRaeJ.T. Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonWiley Sherman60122
2Nikita TryamkinTaylor Aronson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dennis EverbergBrandon Saad60122
2Taylor BeckJ.T. Brown40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonWiley Sherman60122
2Nikita TryamkinTaylor Aronson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dennis Everberg60122Seth HelgesonWiley Sherman60122
2Brandon Saad40122Nikita TryamkinTaylor Aronson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dennis EverbergBrandon Saad60122
2Taylor BeckJ.T. Brown40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonWiley Sherman60122
2Nikita TryamkinTaylor Aronson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon SaadBrendan GaunceDennis EverbergSeth HelgesonWiley Sherman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon SaadBrendan GaunceDennis EverbergSeth HelgesonWiley Sherman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Ferland, Jared Staal, Alex HutchingsMichael Ferland, Jared StaalAlex Hutchings
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Oliver Kylington, Tommy VannelliOliver Kylington, Tommy Vannelli
Tirs de Pénalité
Dennis Everberg, Brandon Saad, Taylor Beck, J.T. Brown, Brendan Gaunce
Gardien
#1 : Alexandar Georgiev, #2 : Thatcher Demko


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
1Checkers404000001324-1120200000812-420200000512-700.000132336006430127423550011842609219526.32%30970.00%0488854.55%467858.97%326152.46%844581407435
Total404000001324-1120200000812-420200000512-700.000132336006430127423550011842609219526.32%30970.00%0488854.55%467858.97%326152.46%844581407435
_Since Last GM Reset404000001324-1120200000812-420200000512-700.000132336006430127423550011842609219526.32%30970.00%0488854.55%467858.97%326152.46%844581407435
_Vs Conference404000001324-1120200000812-420200000512-700.000132336006430127423550011842609219526.32%30970.00%0488854.55%467858.97%326152.46%844581407435

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L413233612711842609200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
40400001324
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000812
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000512
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
19526.32%30970.00%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
42355006430
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
488854.55%467858.97%326152.46%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
844581407435


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 - 2020-10-098Checkers5Comets4LSommaire du Match
2 - 2020-10-1016Checkers7Comets4LSommaire du Match
3 - 2020-10-1124Comets2Checkers5LSommaire du Match
4 - 2020-10-1232Comets3Checkers7LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets132
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
38 3000 - 100.00% 29,400$58,800$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,135,000$ 1,977,500$ 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