Naas 13:20 2m3f – Mon 16th Dec 2019

Race betting insights – full card filter

Race snapshot - 8 runners shown • 12 Months look back • 0 active filters
Use:
Top Speed
Top Win %
Top Place %
Best Value
No. Runner Age Wt OR Fin form Win% Pla% WinVal Speed SpeedEdge Multi OR (avg) WSR Class Runs Speed Runs Speed at Distance Odds Move
3rd (1) Ashdale Bob
0 11-7 124
 
 
 
 
 
 
 
 
 
 
 
 
 
3.33/1 33.40%
8th (3) Bold Assassin
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
6/1 14.29%
22nd (4) California King
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
66/1 56.00%
17th (5) Diamond Grove
0 11-7 93
 
 
 
 
 
 
 
 
 
 
 
 
 
66/1 34.00%
10th (6) Gap Of Dunloe
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
25/1 50.00%
(7) Happie Days
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
66/1 34.00%
2nd (9) Home By The Lee
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
5.5/1 31.25%
9th (10) Johnny Little Legs
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
66/1 34.00%
11th (11) Mattie's Mountain
0 11-7 76
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 33.33%
13th (12) Mise Raftaire
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 0.00%
6th (13) Presenting Cody
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 33.33%
14th (14) Rough Terain
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
25/1 62.12%
18th (15) Royal Recital
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
80/1 -21.21%
23rd (16) Sod's Law
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
40/1 39.39%
19th (17) The Broghie Man
0 11-7 115
 
 
 
 
 
 
 
 
 
 
 
 
 
25/1 24.24%
1st (18) Tiger Tap Tap
0 11-7 135
 
 
 
 
 
 
 
 
 
 
 
 
 
1/1 -75.44%
5th (19) Vaucelet
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
33/1 34.00%
7th (20) Wherethewindsblow
0 11-7
 
 
 
 
 
 
 
 
 
 
 
 
 
66/1 0.00%
15th (21) You Should Have
0 11-7 43
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 33.33%
16th (22) Cantbeatlove
0 11-0
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 0.00%
4th (23) Jazzaway
0 11-0 111
 
 
 
 
 
 
 
 
 
 
 
 
 
10/1 37.50%
21st (24) Samsara Lady
0 11-0 81
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 33.33%
12th (25) Vue En Seine
0 11-0 88
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 50.00%
20th (26) Miss Anfield
0 11-0
 
 
 
 
 
 
 
 
 
 
 
 
 
100/1 60.00%

Potential winners – class & speed algorithm

Uses class history (lower class number = better race), speed figures, progression (LTO vs previous runs) and speed at today’s trip to rank potential winners from the runners matching your filters.

Algo will populate once data is loaded.
# Runner Score Best class Avg speed Trip speed LTO vs avg Result Odds Move% Notes
Waiting for data…

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