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HomeTrack researchTrap bias at Kinsley: which traps actually win

Trap bias at Kinsley: which traps actually win

··5 min read

Trap bias at Kinsley measured on 4,881 races over 2 years: share of wins by trap against fair share, by distance and by grade, with the noise called noise.

trap biastrack geometrykinsley

Over the last 2 years at Kinsley, 4,881 races, trap 3 has been a clear plus at +2.0 points against its fair share and trap 5 a clear minus at -2.6; the other traps sit inside noise. The track is 387 metres round, measured from our own split times.

Share of wins by trap at Kinsley against fair share
Share of wins by trap at Kinsley against fair share

All distances

Trap Runs Wins Win rate Share of wins Fair share Bias Read
1 4,818 796 16.5% 16.3% 16.6% -0.3 noise
2 4,843 830 17.1% 17.0% 16.7% +0.3 noise
3 4,831 911 18.9% 18.7% 16.7% +2.0 clear
4 4,826 821 17.0% 16.8% 16.7% +0.2 noise
5 4,836 686 14.2% 14.1% 16.7% -2.6 clear
6 4,802 837 17.4% 17.1% 16.6% +0.6 noise

Trap 1 sits inside noise at -0.3 points. Trap 2 sits inside noise at +0.3 points. Trap 3 is a clear plus at Kinsley: it wins 18.7% of races against a fair share of 16.7%, +2.0 points on 4,831 runs. Trap 4 sits inside noise at +0.2 points. Trap 5 is a clear minus: 14.1% of wins against a fair share of 16.7%, -2.6 points on 4,836 runs. Trap 6 sits inside noise at +0.6 points.

By distance

Only distances with at least 1,500 runs get their own chart; a bias that shows at one trip and not another is usually the run to the first bend at work.

462 metres, 3,093 races

Share of wins by trap at Kinsley over 462 metres
Share of wins by trap at Kinsley over 462 metres

Trap 1 sits inside noise at -0.6 points. Trap 2 sits inside noise at +0.6 points. Trap 3 is a clear plus at Kinsley: it wins 19.5% of races against a fair share of 16.7%, +2.8 points on 3,071 runs. Trap 4 sits inside noise at +0.3 points. Trap 5 is a clear minus: 13.6% of wins against a fair share of 16.7%, -3.1 points on 3,073 runs. Trap 6 sits inside noise at +0.0 points.

268 metres, 1,784 races

Share of wins by trap at Kinsley over 268 metres
Share of wins by trap at Kinsley over 268 metres

No clear bias at 268 metres: every trap is inside noise on 1,784 races.

By grade

Grade letters grouped: A for graded races, D for sprints and dashes where the track uses them, S for stayers, and so on.

Grade Races T1 T2 T3 T4 T5 T6
A 2,866 -0.5 +0.4 +2.8* +0.4 -3.0* -0.1
D 1,714 +0.5 -0.1 +0.6 -0.3 -2.0 +1.3
H 301 -3.1 +1.9 +1.8 +0.5 -3.5 +2.3

Bias in points against fair share; * marks a clear bias.

The market and the fields

The Betfair favourite won 30.7% of 4,907 priced races here over the window. 98% of races went off with six runners; the rest had a vacant trap, which is why fair share is measured on runs and not assumed to be one sixth.

How to read this

Fair share is each trap's share of the runs, so a vacant trap 6 does not hand trap 5 a bias. A bias is called clear only when it is at least 1.5 points and at least 2.5 standard errors from fair on the runs behind it; anything smaller is a difference inside noise, and the page says so. The window is the last 2 years, refreshed whenever this page is rebuilt. The live version, with the going and our own accuracy at this track, is on the track page.

Questions this piece answers

Which trap wins most at Kinsley?

Over the last 2 years trap 3 has the largest share of wins, 18.7% of 4,881 races. Against fair share the picture is: Trap 3 is a clear plus at Kinsley: it wins 18.7% of races against a fair share of 16.7%, +2.0 points on 4,831 runs. Trap 5 is a clear minus: 14.1% of wins against a fair share of 16.7%, -2.6 points on 4,836 runs.

How is fair share worked out?

Each trap's fair share is its share of the runs, not one sixth. A trap that was vacant in many races has fewer runs and so a smaller fair share; comparing its wins with a sixth would invent a bias.

How often does the favourite win at Kinsley?

The Betfair market favourite won 30.7% of 4,907 races with a settled price over the last 2 years.

T
The Edge AnalystGreyhound racing and statistical analysis

The analyst behind TrapMetrics: the person who built the rating model, runs it every morning, and writes up what it finds. About the writer

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