Comets
GP: 80 | W: 42 | L: 26 | OTL: 12 | P: 96
GF: 369 | GA: 348 | PP%: 25.63% | PK%: 75.63%
DG: Patrick Tremblay | Morale : 44 | 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)X100.007325787280776974777176607052474351700241900,000$
2Brandon Saad (C)X100.007230747577716569696980676353534961700232999,999$
3Dennis Everberg (R)X100.006935817677687373637471697149474464700231900,000$
4J.T. Brown (R) (A)X100.006937727374707373667473686455533659690251995,000$
5Brendan Gaunce (R)X100.005735727564717273768073536144436063670212800,000$
6Andrej Nestrasil (R)X100.006933767364727067757868526654543864670241700,000$
7Phil McRae (R)X100.007043736968677271676671646947473359670251600,000$
8Christoph Bertschy (R) (A)X100.005927787767736072636569637544435664660212600,000$
9Joshua Leivo (R)X100.006426787073717270696373596948444864660222850,000$
10Colton GilliesX100.007238717371627364666969686550492732660261700,000$
11Andrew Mangiapane (R)X100.006237705084657265667184487543416559650192500,000$
12Michael Ferland (R)X100.007164746580588267616364566346454261640232600,000$
13Nicholas Baptiste (R)X100.007140677072507071536970615842426133640204600,000$
14Jared Staal (R)X100.007231766067636968566062636248483047630251450,000$
15Alex Hutchings (R)X100.006321766563677065596069546654542950620251750,000$
16Mitch Callahan (R)X100.007234686869547063566866576046463150620242425,000$
17Denis Gurianov (R)X100.005027777059626869575780355940408631610182500,000$
18Tyler Graovac (R)X100.005531576349565865636161565544443950580221375,000$
19Seth Helgeson (R)X100.007963757285618172587163726067583532730251995,000$
20Wiley Sherman (R)X100.006236877468797466627563686447426833680203850,000$
21Nikita Tryamkin (R)X100.007035756371695770567665674744425624660201500,000$
22Juuso Riikola (R)X100.006451706873626563487360616048494461640222500,000$
23Taylor Aronson (R)X100.006521776958716870546463665753513736640241700,000$
24Tommy Vannelli (R)X100.005631836657605859416845654442425835600204400,000$
25Oliver Kylington (R)X100.005429707549546167277552604540406530600182500,000$
Rayé
1Taylor Leier (R)X100.004625745158585261485366486143434537550211600,000$
2Thomas DiPauli (R)X100.005228776460715347505651525143434626540211660,000$
3Jaedon Descheneau (R)X100.003937604949605852625961334242444223510201500,000$
4Michael Prapavessis (R)X100.005533776054556056326540634441416045580191500,000$
5Jeremy Roy (R)X100.004637485049445047245337403340406020460181500,000$
6Aaron Haydon (R)X100.004723524943424549455444424141415519460191500,000$
MOYENNE D'ÉQUIPE100.00623472666663666557666458594746484563
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)100.00528659747364717682735242437947700
2Thatcher Demko100.00686274495576765953796641416663630
Rayé
1Jake Paterson100.00604763635957485758546443434419560
MOYENNE D'ÉQUIPE100.0060656562626665646469614242634363
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
1Brandon SaadComets (Van)LW806253115-64001571373328216618.67%33168121.01191534452353361523111347.20%3397346041.37370001097
2J.T. BrownComets (Van)RW75406110112460150872577616115.56%39138218.431115263320321311814140.91%884931011.4602000593
3Phil McRaeComets (Van)C7827639095601491181655110016.36%34136017.4591928302141014311147.51%14272932101.3202000136
4Taylor BeckComets (Van)LW72414283193201141072289815817.98%33143319.91812203218433671984157.42%2567021011.1606000534
5Dennis EverbergComets (Van)RW453545801018083651965714217.86%2997621.691115263714812331094240.96%1664516111.6414000934
6Brendan GaunceComets (Van)C7728457324201151262096911213.40%20135217.5651318302530001363252.18%12615125011.0800000434
7Andrej NestrasilComets (Van)C80204262-9240121751686010911.90%29106613.3349131288000092149.25%6643414011.1611000203
8Joshua LeivoComets (Van)RW8024234731407763194628912.37%2284810.6100001000062048.28%292717011.1101000311
9Andrew MangiapaneComets (Van)LW80172744873512264105427516.19%28124715.5907711201012861146.43%561319010.7100001122
10Nicholas BaptisteComets (Van)RW77162642153807537122458013.11%217149.281121190111181138.24%343119001.1700000322
11Christoph BertschyComets (Van)C80212041241404977144387614.58%227549.431015151011363148.97%2902414001.0901000111
12Wiley ShermanComets (Van)D62634408100641039846366.12%111168227.134812252230112221100.00%02570000.4800000122
13Juuso RiikolaComets (Van)D7943539148751491287830395.13%96189523.991101192180226182010.00%02759100.4100000101
14Nikita TryamkinComets (Van)D533313421540791107941423.80%89138026.04235101630113152000.00%01645000.4900000011
15Denis GurianovComets (Van)RW7615183321006031114356813.16%2186011.3234712142000161046.00%50179000.7722000110
16Seth HelgesonComets (Van)D59225271342098896530313.08%70134022.7206681240113176110.00%02344000.4000000101
17Taylor AronsonComets (Van)D5331821-1016081746624334.55%62122623.1426881530001128000.00%01939000.3400000011
18Colton GilliesComets (Van)LW6061521-1128055417927517.59%185098.49101318000000050.65%77177000.8200000100
19Oliver KylingtonComets (Van)D69217191020041795024204.00%52100014.50033462000254100.00%0936000.3800000001
20Olli MaattaCanucksD483151878058694926306.12%79110923.121122880001178000.00%0847000.3211000001
21Tommy VannelliComets (Van)D6731316-128041586317174.76%67118017.6211241020004117100.00%0642000.2712000010
22Benn FerrieroCanucksRW54106161100786085346111.76%1968412.680000180002793042.55%471816010.4714000101
23Michael FerlandComets (Van)LW8011314-680652955162220.00%95186.4800006000091036.36%4474000.5400000001
24Michael PrapavessisComets (Van)D67013131031546662818150.00%68109516.35022071000081000.00%0538000.2400000000
25Jared StaalComets (Van)RW694711-34059483272012.50%115307.6800008000011057.14%2178000.4200000000
26Mitch CallahanComets (Van)RW69639-316041184792012.77%52914.2300009000052130.77%1361000.6200000002
27Lane MacDermidCanucksLW8336-2401713226713.64%515319.242135190000340042.86%781000.7811000000
28Aaron HaydonComets (Van)D4805510300372120370.00%2457211.92011228000040000.00%0012000.1700000000
29Tyler GraovacComets (Van)C69134-1006553620.00%0941.37000000001320059.09%2201000.8500000000
30Alex HutchingsComets (Van)LW691231009415346.67%21792.60000070113821065.38%2621000.3300000001
31Jeremy RoyComets (Van)D341120240271682512.50%546613.7200006000038000.00%004000.0900000000
32Thomas DiPauliComets (Van)C53000-100010000.00%0100.210000000004000.00%000000.0000000000
33Taylor LeierComets (Van)LW59000100120010.00%0210.37000000000180055.56%900000.0000000000
34Jaedon DescheneauComets (Van)RW52000000000000.00%000.010000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne21814157141129136807152324202131781081180313.06%11232962113.58861522383182959121628742493491749.15%49266667383120.761134001504250
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)57272170.8803.903234202101755957610.571145523213
2Thatcher DemkoComets (Van)51191470.8544.792582202061407686100.529174535110
Stats d'équipe Total ou en Moyenne1084635140.8684.2958164041631621643710.5483110058323


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 Everberg40122
2Taylor BeckPhil McRaeJ.T. Brown30122
3Colton GilliesAndrej NestrasilJoshua Leivo20122
4Andrew MangiapaneChristoph BertschyNicholas Baptiste10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth HelgesonWiley Sherman40122
2Nikita TryamkinTaylor Aronson30122
3Juuso RiikolaOliver Kylington20122
4Tommy VannelliSeth Helgeson10122
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
Juuso Riikola, Oliver Kylington, Tommy VannelliJuuso RiikolaOliver 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
1Admirals20100001912-31000000156-11010000046-210.250915240011711812712608519078645272271838800.00%9455.56%0857174549.11%846172549.04%685138249.57%169292817137611453717
2Barracuda20100001811-31000000167-11010000024-210.250891700117118127126785190786452591912474250.00%6183.33%2857174549.11%846172549.04%685138249.57%169292817137611453717
3Bears5220001021192220000001046302000101115-460.600213253001171181271216185190786452141543515521419.05%18666.67%0857174549.11%846172549.04%685138249.57%169292817137611453717
4Checkers311001001112-1211000006601000010056-130.5001119300011711812712109851907864521022924708225.00%12466.67%0857174549.11%846172549.04%685138249.57%169292817137611453717
5Condors3210000012102110000003122110000099040.66712183000117118127121098519078645210436207312433.33%10280.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
6Crunch32100000141042200000011471010000036-340.667142640001171181271211185190786452883312689333.33%6266.67%1857174549.11%846172549.04%685138249.57%169292817137611453717
7Devils302010001113-21000100043120200000710-320.3331118290011711812712110851907864529437206115426.67%10280.00%1857174549.11%846172549.04%685138249.57%169292817137611453717
8Eagles32100000871110000003122110000056-140.66781523001171181271283851907864528328266915320.00%13284.62%1857174549.11%846172549.04%685138249.57%169292817137611453717
9Griffins2110000010911010000024-21100000085320.50010152500117118127126585190786452652222328225.00%11281.82%0857174549.11%846172549.04%685138249.57%169292817137611453717
10Heat30300000617-1120200000311-81010000036-300.0006101600117118127121008519078645210029245814321.43%12283.33%0857174549.11%846172549.04%685138249.57%169292817137611453717
11IceHogs321000001713421100000131121100000042240.6671727440011711812712106851907864529836245211436.36%12650.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
12Influenza21000100871110000003121000010056-130.7508162400117118127125885190786452662214529111.11%70100.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
13Little Stars6210200125250311000011316-331002000129390.750254469001171181271218685190786452209697214922731.82%361072.22%1857174549.11%846172549.04%685138249.57%169292817137611453717
14Monsters210001009811000010045-11100000053230.750914230011711812712728519078645269171257300.00%60100.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
15Moose2100000111101110000007521000000145-130.75011193000117118127127085190786452622422417228.57%11281.82%0857174549.11%846172549.04%685138249.57%169292817137611453717
16Penguins300021001918120001100131301000100065150.8331934530011711812712114851907864529939167212216.67%8187.50%1857174549.11%846172549.04%685138249.57%169292817137611453717
17Phantoms2010000169-31000000156-11010000013-210.25069150011711812712708519078645269112051400.00%10280.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
18Punishers6600000041241733000000221393300000019118121.00041641050011711812712201851907864522066863150301136.67%25772.00%1857174549.11%846172549.04%685138249.57%169292817137611453717
19Rampage30300000614-81010000026-42020000048-400.000671300117118127128385190786452942622861218.33%11372.73%0857174549.11%846172549.04%685138249.57%169292817137611453717
20Reign33000000199101100000054122000000145961.00019335200117118127121058519078645210036267511327.27%13284.62%0857174549.11%846172549.04%685138249.57%169292817137611453717
21Rocket201001001013-31010000035-21000010078-110.25010192900117118127126585190786452601516618225.00%8537.50%0857174549.11%846172549.04%685138249.57%169292817137611453717
22Senators32100000161332200000013851010000035-240.6671625410011711812712102851907864521052720837114.29%10190.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
23Sound Tigers31101000141311010000045-121001000108240.66714233700117118127121008519078645210227207312325.00%10370.00%0857174549.11%846172549.04%685138249.57%169292817137611453717
24Thunderbirds6420000024195321000001394321000001110180.6672439630011711812712176851907864521895748142361027.78%23578.26%1857174549.11%846172549.04%685138249.57%169292817137611453717
25Wolfpack5210010134331311000011921-2210001001512360.600345690001171181271216685190786452183653813518738.89%19384.21%2857174549.11%846172549.04%685138249.57%169292817137611453717
Total80352606616369348214020110220519217517401515044111771734960.6003696069750011711812712264985190786452261985364619503168125.63%3167775.63%11857174549.11%846172549.04%685138249.57%169292817137611453717
_Since Last GM Reset80352606616369348214020110220519217517401515044111771734960.6003696069750011711812712264985190786452261985364619503168125.63%3167775.63%11857174549.11%846172549.04%685138249.57%169292817137611453717
_Vs Conference47211605302215205102513702102122111112289032009394-1570.6062153575720011711812712154185190786452155250738511431985427.27%1854277.30%9857174549.11%846172549.04%685138249.57%169292817137611453717
_Vs Division18123020019068229620000148381096102000423012290.80690147237001171181271256385190786452604194183441882831.82%842273.81%3857174549.11%846172549.04%685138249.57%169292817137611453717

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8096W136960697526492619853646195000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8035266616369348
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020112205192175
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4015154411177173
Derniers 10 Matchs
WLOTWOTL SOWSOL
342001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3168125.63%3167775.63%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
8519078645211711812712
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
857174549.11%846172549.04%685138249.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
169292817137611453717


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
2 - 2020-10-108Comets3Bears5LSommaire du Match
4 - 2020-10-1222Thunderbirds2Comets4WSommaire du Match
8 - 2020-10-1639Wolfpack4Comets7WSommaire du Match
11 - 2020-10-1956Little Stars5Comets7WSommaire du Match
12 - 2020-10-2064Comets7Thunderbirds6WSommaire du Match
15 - 2020-10-2382Punishers7Comets9WSommaire du Match
16 - 2020-10-2490Comets3Eagles5LSommaire du Match
20 - 2020-10-28108Wolfpack8Comets7LXXSommaire du Match
21 - 2020-10-29114Comets5Punishers3WSommaire du Match
22 - 2020-10-30120Comets5Little Stars4WXSommaire du Match
26 - 2020-11-03142Thunderbirds4Comets7WSommaire du Match
29 - 2020-11-06160Comets6Condors3WSommaire du Match
30 - 2020-11-07167Comets1Rampage4LSommaire du Match
33 - 2020-11-10177Penguins8Comets7LXSommaire du Match
34 - 2020-11-11187Comets6Punishers3WSommaire du Match
38 - 2020-11-15203Bears2Comets5WSommaire du Match
40 - 2020-11-17216Rampage6Comets2LSommaire du Match
42 - 2020-11-19226Comets9Wolfpack5WSommaire du Match
44 - 2020-11-21236Comets5Monsters3WSommaire du Match
46 - 2020-11-23251Wolfpack9Comets5LSommaire du Match
50 - 2020-11-27272Comets6Penguins5WXSommaire du Match
52 - 2020-11-29278Sound Tigers5Comets4LSommaire du Match
54 - 2020-12-01289Comets3Thunderbirds1WSommaire du Match
56 - 2020-12-03302Thunderbirds3Comets2LSommaire du Match
60 - 2020-12-07323Reign4Comets5WSommaire du Match
63 - 2020-12-10335Comets7Rocket8LXSommaire du Match
65 - 2020-12-12349Rocket5Comets3LSommaire du Match
69 - 2020-12-16367Comets4Admirals6LSommaire du Match
71 - 2020-12-18379Influenza1Comets3WSommaire du Match
73 - 2020-12-20389Comets3Condors6LSommaire du Match
76 - 2020-12-23403Senators6Comets9WSommaire du Match
78 - 2020-12-25414Comets1Phantoms3LSommaire du Match
81 - 2020-12-28429Bears2Comets5WSommaire du Match
83 - 2020-12-30442Comets3Crunch6LSommaire du Match
85 - 2021-01-01453Monsters5Comets4LXSommaire du Match
87 - 2021-01-03460Comets6Wolfpack7LXSommaire du Match
89 - 2021-01-05475Comets3Little Stars2WSommaire du Match
92 - 2021-01-08486Little Stars7Comets3LSommaire du Match
94 - 2021-01-10497Comets1Thunderbirds3LSommaire du Match
96 - 2021-01-12509Comets5Checkers6LXSommaire du Match
98 - 2021-01-14515Moose5Comets7WSommaire du Match
101 - 2021-01-17531Comets8Punishers5WSommaire du Match
104 - 2021-01-20540Condors1Comets3WSommaire du Match
106 - 2021-01-22549Comets8Griffins5WSommaire du Match
108 - 2021-01-24563Griffins4Comets2LSommaire du Match
110 - 2021-01-26574Comets4Devils6LSommaire du Match
113 - 2021-01-29589Barracuda7Comets6LXXSommaire du Match
116 - 2021-02-01608Comets3Heat6LSommaire du Match
118 - 2021-02-03617IceHogs8Comets4LSommaire du Match
120 - 2021-02-05629Comets5Influenza6LXSommaire du Match
123 - 2021-02-08643Penguins5Comets6WXSommaire du Match
125 - 2021-02-10653Comets3Devils4LSommaire du Match
127 - 2021-02-12667Senators2Comets4WSommaire du Match
131 - 2021-02-16687Comets4Moose5LXXSommaire du Match
133 - 2021-02-18695IceHogs3Comets9WSommaire du Match
135 - 2021-02-20707Comets4IceHogs2WSommaire du Match
138 - 2021-02-23721Crunch3Comets9WSommaire du Match
141 - 2021-02-26738Comets4Little Stars3WXSommaire du Match
143 - 2021-02-28746Crunch1Comets2WSommaire du Match
148 - 2021-03-05768Admirals6Comets5LXXSommaire du Match
150 - 2021-03-07780Comets5Bears4WXXSommaire du Match
153 - 2021-03-10795Comets2Barracuda4LSommaire du Match
155 - 2021-03-12801Punishers2Comets8WSommaire du Match
158 - 2021-03-15815Comets5Reign1WSommaire du Match
160 - 2021-03-17826Punishers4Comets5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19839Comets9Reign4WSommaire du Match
164 - 2021-03-21848Checkers5Comets2LSommaire du Match
166 - 2021-03-23857Comets3Rampage4LSommaire du Match
169 - 2021-03-26873Comets2Eagles1WSommaire du Match
170 - 2021-03-27880Little Stars4Comets3LXXSommaire du Match
175 - 2021-04-01903Devils3Comets4WXSommaire du Match
176 - 2021-04-02910Comets3Bears6LSommaire du Match
180 - 2021-04-06928Comets5Sound Tigers4WXSommaire du Match
181 - 2021-04-07934Phantoms6Comets5LXXSommaire du Match
186 - 2021-04-12949Comets5Sound Tigers4WSommaire du Match
187 - 2021-04-13960Heat4Comets1LSommaire du Match
191 - 2021-04-17980Checkers1Comets4WSommaire du Match
195 - 2021-04-211002Heat7Comets2LSommaire du Match
198 - 2021-04-241014Comets3Senators5LSommaire du Match
201 - 2021-04-271028Eagles1Comets3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets132
Assistance79,94939,939
Assistance PCT99.94%99.85%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2997 - 99.91% 29,379$1,175,176$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,967,046$ 2,945,000$ 2,517,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,366$ 2,142,206$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,268$ 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