Wednesday 30th January 2013
There have been 7 top-rated winners over the last 2 days:
- Prince James in the 17:00 at Wolverhampton yesterday (BSP of 7.02)
- Irene Kennet in the 14:50 at Kempton on Monday (BSP of 6.60)
- Compton Rainbow in the 16:50 at Kempton on Monday (BSP of 3.96)
- Naru in the 16:40 at Wolverhampton on Monday (BSP of 3.54)
- Hepworth in the 17:10 at Wolverhampton on Monday (BSP of 3.20)
- Hab Reeth in the 13:40 at Wolverhampton on Monday (BSP of 2.69)
- Stand Guard in the 15:00 at Wolverhampton yesterday (BSP of 1.15)
11 top-rated selections have placed and 4 races have been won by second or third top-rated selections.
Backing Big Early Horse Racing Steamers To Place
Not everyone is able to monitor the racing right up until 1 minute before the off for every race. With this in mind, we spent some time investigating the earlier price movements on JustStartHere to see if there were any profitable betting angles to be found.
One pattern jumped out straight away – the biggest stand out 60 minute steamers in 3 out of the opening 4 races on Monday went on to place with big Betfair place odds. By “stand out” we mean green or blue steamers – i.e. horses that have recorded Mov values in excess of +2.5 (green) or +5(blue). The Mov60 values for the biggest “stand out” steamers in the 3 races mentioned are outlined in red on the screenshot below:
Using 11am as the morning comparison time on JustStartHere, backing only the biggest green or blue Mov60 steamer in each race to place over the last 2 days would have returned a profit of 43.32 points after commission (based on Betfair place SPs). The full results are listed below:
|Date||Race||Horse||11am Price||60 Min Price||Mov60 Value||Result||Betfair Place SP Returns|
|29/01||13:20||Lingfield||Maid Of Oaksey||29.00||18.00||+3.79||L||-1.00|
Early days yet, but this approach could well be worth some further investigation – especially for those who prefer to get their bets on a bit earlier than 1 minute before the off. We’ll keep an eye on results over the next few days and look to analyse the historical performance of the system over a longer period of time.