Curragh 13:30 6f – Sun 14th Sep 2025

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
2nd (1) Big Gossey
8 10-0 104
 
 
 
 
 
 
 
 
 
 
 
 
 
22/1 12.00%
19th (2) Carla Ridge
3 9-10 98
 
 
 
 
 
 
 
 
 
 
 
 
 
11/1 31.25%
10th (3) Keke
5 9-9 103
 
 
 
 
 
 
 
 
 
 
 
 
 
11/1 -10.00%
21st (4) Bounty
3 9-4 97
 
 
 
 
 
 
 
 
 
 
 
 
 
12/1 40.00%
1st (6) Tango Flare
6 9-1 106
 
 
 
 
 
 
 
 
 
 
 
 
 
50/1 -51.52%
5th (7) Tuco Salamanca
3 9-1 101
 
 
 
 
 
 
 
 
 
 
 
 
 
6/1 7.69%
13th (8) Francisco's Piece
3 9-0 104
 
 
 
 
 
 
 
 
 
 
 
 
 
40/1 -0.00%
9th (9) Heavenly Power
7 9-0 104
 
 
 
 
 
 
 
 
 
 
 
 
 
14/1 0.00%
17th (10) Kendall Roy
4 9-0 103
 
 
 
 
 
 
 
 
 
 
 
 
 
11/1 8.33%
11th (11) Sparkling Sea
3 9-0 104
 
 
 
 
 
 
 
 
 
 
 
 
 
33/1 -50.00%
18th (13) Betsen
4 8-10 108
 
 
 
 
 
 
 
 
 
 
 
 
 
12/1 14.29%
20th (14) Moltophino
4 8-10 105
 
 
 
 
 
 
 
 
 
 
 
 
 
15/2 58.33%
12th (15) Sarahmae
3 8-9 98
 
 
 
 
 
 
 
 
 
 
 
 
 
25/1 -13.64%
3rd (16) Sir Les Patterson
4 8-9 103
 
 
 
 
 
 
 
 
 
 
 
 
 
16/1 -33.33%
16th (17) Back Down Under
4 8-8 101
 
 
 
 
 
 
 
 
 
 
 
 
 
14/1 0.00%
4th (18) Kodiac Thriller
4 8-7 100
 
 
 
 
 
 
 
 
 
 
 
 
 
16/1 0.00%
22nd (19) Tropical Retreat
3 8-7 100
 
 
 
 
 
 
 
 
 
 
 
 
 
12/1 40.00%
7th (20) Unique Journey
3 8-7 107
 
 
 
 
 
 
 
 
 
 
 
 
 
40/1 0.00%
6th (21) Gazelle D'or
3 8-7 98
 
 
 
 
 
 
 
 
 
 
 
 
 
16/1 11.11%
14th (22) Greek Flower
6 8-7 104
 
 
 
 
 
 
 
 
 
 
 
 
 
12/1 70.00%
15th (23) Varshini
3 8-7 96
 
 
 
 
 
 
 
 
 
 
 
 
 
28/1 44.00%
8th (24) Jon Riggens
7 8-7 101
 
 
 
 
 
 
 
 
 
 
 
 
 
18/1 55.00%
23rd (25) Genesis
4 8-7 98
 
 
 
 
 
 
 
 
 
 
 
 
 
40/1 68.00%

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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