Last updated: 28 May 2026
The racecard is open, the kettle is on, and there are twelve runners in the 3.40 at Wolverhampton. You have a speed rating. You have a class figure. You have a trainer note in the margin. None of them agree. The top speed horse is fourth on class. The class horse is sixth on trainer form. The trainer’s runner is mid-pack on speed. So which three actually stand up?
This is the part of selection most backers skip. They reach for the strongest single number and bet it, or they freeze and bet the favourite. There is a better answer, and it is older than every modern model in the market. It is called the A/E ratio, and once you know how to combine several of them you can rank any field in a few minutes and pick the three horses worth a second look.
Quick Answer: How A/E Ratios Find The Three Best Horses
Rank each runner against historical A/E ratios for the factors that matter to today’s race, then combine those rankings using the Reynolds method, multiplying the rank numbers together. The horses with the lowest combined ranks are the strongest in the race before you compare them to today’s price. Across 1.42 million UK runners from 2013 to 2026, Race Advisor’s combined-signal contenders, where the multi-factor Race Predictor and PR Rank one agreed, won 39.8% of the time, against 33.5% for PR Rank one on its own.
Why A Single Rating Will Not Find The Best Horses
No single number on a racecard tells you which horse is going to win. A speed rating measures the engine. A class figure measures the company kept. A trainer line measures who is preparing the horse. A pace map measures whether the horse will get the trip it wants. Each is a partial view of a much bigger animal.
The top horse on any one rating is rarely the top horse on the next. When the same name shows up near the top of two or three ratings, that is the signal. It is not a coincidence. It is the race telling you the same thing from different angles. The trick is to make that overlap measurable instead of guessing.
What An A/E Ratio Actually Tells You About A Factor
A/E stands for Actual over Expected. It is the ratio of how often a group of horses actually wins compared to how often the market expected them to win, based on Betfair SP. An A/E of 1.00 means a factor is producing wins in line with its price. Above 1.05 to Betfair SP is the minimum threshold for a factor to be worth betting on its own. Above 1.10 is a strong signal. Above 1.20 is exceptional and rare.
The maths is simple. You take a sample of runners. You count how many actually won. You then add up one divided by each runner’s Betfair SP, which gives the expected number of winners the market was pricing for. Wins divided by expected wins is the A/E. Higher than one means the group is winning more often than the price implied. Lower than one means the price was right or generous and the wins were not there.
Read the long-form explanation of what an A/E ratio is if you want the calculation broken down with a worked sample. For this article the key point is the use, not the formula. A/E lets you compare any factor against the market on the same scale.
How To Combine A/E Ratios Across Multiple Factors
Once you have an A/E figure for each factor that matters in the race, there are two honest ways to combine them. The first is to multiply the A/E values directly. A horse with an A/E of 1.08 on factor one and 1.05 on factor two scores 1.08 times 1.05, which is 1.134. The higher the combined number, the stronger the case. The second is the Reynolds method, which converts each A/E into a rank and then multiplies the ranks. The lowest combined rank is the strongest horse.
Both work. The honest caveat is that no method handles correlated factors perfectly. If your two ratings are essentially saying the same thing, you are double counting. The fix is not statistical wizardry. It is choosing factors that measure different things. Speed and class are partly correlated. Trainer form and pace are not. Speed and pace are not. Mix your inputs across the dimensions of the race and the combination tells you more than either factor alone.
Neither method is better in the abstract. Multiplying A/E values keeps the size of each edge in the calculation, which matters when one factor is much stronger than another, and that suits a spreadsheet. Multiplying ranks treats each factor as equally weighted, which is robust when you are unsure how much to trust each input. For a hand-done card on the kitchen table, ranks are quicker and harder to fudge. For a model, the raw values are cleaner.
One more thing to keep honest. Every A/E threshold quoted here refers to Betfair SP after the 2% commission on net winning markets. Bookmaker SP carries an overround that flatters A/E figures, so a factor that looks like 1.05 against bookmaker prices can flatten to 1.00 once commission and exchange pricing are applied. If you are reading A/E numbers from somewhere else, check which price was used before you trust the size of the edge.
The Reynolds Method: Rank, Multiply, Then Compare To Price
The Reynolds method is the one most backers end up using because it is faster to do by hand. Take the field. Rank every runner one to twelve on factor one, with the best A/E ranked one. Do it again on factor two. Multiply the two ranks. The horse with the lowest product is the strongest horse on combined evidence.
The example runs like this. A horse that ranks one on the first factor and three on the second has a combined score of three. A horse that ranks four on the first factor and one on the second has a combined score of four. The first horse is the strongest in the field on these inputs. Add a third factor and the same method works. Rank, multiply, sort the table by the lowest number. The top three are your shortlist.
The shortlist is not a betting list. It is a question list. For each of the three you ask the same question. What price is generous, and what price is short? If the strongest horse on combined factors is six to four, you might pass. If it is sevens, you are interested. The shortlist tells you which horses to compare to the market. The market tells you whether to act.
What Race Advisor’s Combined Signals Show In The Data
Race Advisor’s master dataset covers UK racing from 2013 to 2026. That is over 1.42 million runners with full Betfair SP, PR Rank, and Race Predictor coverage. We can use that to show what combining signals actually does to win rates and A/E.
Start with one factor. PR Rank is Race Advisor’s proprietary rating. PR Rank one, the top horse in any race on PR, won 33.5% of the time across 154,124 runners. The A/E sat at 1.02. The top horse on a single strong rating fires roughly one race in three, but the market is fully priced. No edge on price, just a strong descriptive signal.
Now layer a second, independent factor. Race Predictor is Race Advisor’s multi-factor composite, the same combine-the-signals logic this article describes, scaled to every UK runner. Its top quintile won 25.9% of the time across 257,742 runners at an A/E of 1.07. Lower win rate than PR Rank one, because the quintile is broader, but a higher A/E because Race Predictor weighs in factors the market is less precise on.
Combine the two. Where Race Predictor’s top quintile and PR Rank one identified the same horse, across 88,823 runners between 2013 and 2026, that horse won 39.8% of the time. The combined-signal win rate is six points higher than PR Rank one alone and fourteen points higher than the Race Predictor top quintile alone. The A/E settles at 1.04, not a screaming edge on price, but the strike rate gain is the practical value. Combined signals find the strongest horses. Whether you bet them is then a separate question about today’s price.
This is the article’s whole thesis demonstrated. No single rating found a 40% strike-rate group. Two signals, combined, did. Three signals chosen across different dimensions of the race, done by hand on a Wolverhampton card with a kettle on, do the same job at a smaller scale.
See Today’s Combined Signals On The Race Card
Race Advisor’s Race Predictor runs the multi-factor combine-the-signals logic across every UK card every day, so you do not need a spreadsheet, a kettle, and an hour. Open today’s card, sort by Race Predictor Win percent, cross-check the top quintile against PR Rank one, and your three-horse shortlist is in front of you. The price question is the one you still have to answer yourself.
