Top Away Price 10%+ Over Average: Is the Home Win the Fit?
When one away price stands well clear of the market, the home side wins more often than the average price implies. The goal markets, by contrast, hardly stir.
Written by Hazel ThorntonMulti-market football analyst
- −0.1%best-price return, Home win
- +8.4std errors for 1X2, the best fit
- 56.3% vs 54.1%Home win: actual vs expected
- 37,924matches at away best price 10%+ over average
- Market
- 1X2
- The question
- When the best away price sits 10% or more above the average, which market shows the biggest mismatch with its price?
- Sample
- 22 European divisions, 2005/06 to 2025/26, 155,895 matches with 1X2 and over/under 2.5 prices
One of the first things I check on a fixture is whether a single away price stands clear of the rest. This study takes every match where the best away price sat at least 10% above the average and asks which market drifts furthest from what the prices implied. That covers 37,924 matches in 22 European divisions from 2005/06 to 2025/26.
The answer is the result line. Home wins landed 56.3% of the time against 54.1% priced, a gap of +8.4 standard errors that no other market comes near. If you follow my daily 1X2 tips, this is one of the few price rungs where the result market and not the goal markets carries the clearer read. Even so, backing the home side at the average price still lost money.
Rung 1The result market sits furthest from its price
This table takes the strongest side in each market and ranks them by how far actual results sat from expectation, measured in standard errors. Home win leads at +8.4, with a fair price of 1.78. The 2-0 correct score comes next at +3.4, and then the goal lines drop away almost to nothing.
Under 2.5 landed 49.8% against 49.6% priced, which is +0.7 standard errors. BTTS no is at +0.1. Those two sit well inside normal noise.
| Market | Best side | Actual ±95% | Fair odds | Gap (pts) | Return at fair | Std errors |
|---|---|---|---|---|---|---|
| 1X2 | Home win | 56.3% ±0.5 | 1.78 | +2.1 | +4.0% | +8.4 |
| Correct score | 2-0 | 10.1% ±0.3 | 9.88 | +0.5 | +5.3% | +3.4 |
| Over/under 2.5 | Under 2.5 | 49.8% ±0.5 | 2.01 | +0.2 | +0.4% | +0.7 |
| BTTS | BTTS no | 50.2% ±0.5 | 1.99 | 0.0 | 0.0% | +0.1 |
Std errors = gap divided by its sampling error; beyond ±2.0 is unlikely to be chance alone.
I find this useful because it tells me where not to spend my attention. On these fixtures the goals markets look priced about right, so any idea I have about the match belongs on the result line.
Rung 2Home wins rise while away wins fall short
Here every side is set out with its expected and actual rate. The away win, the side whose price is stretched, landed 19.3% against 21.1% expected, and its fair odds of 5.17 sit above the 4.75 it was priced at. The home win picks up that slack. The draw barely moves, at 24.4% against 24.8%.
Only 3 of the 10 sides shown sit more than 2.0 standard errors from expectation. The goal lines and BTTS rows overlap their expected marks almost exactly.
Correct-score rows are the three likeliest scorelines at this rung by the price-fitted model.
View the data: every side at away best price 10%+ over average
| Expected | Actual | 95% range | |
|---|---|---|---|
| 1X2: Home win (priced 1.85 · fair 1.78) | 54.1% | 56.3% | ±0.5 |
| 1X2: Draw (priced 4.03 · fair 4.10) | 24.8% | 24.4% | ±0.4 |
| 1X2: Away win (priced 4.75 · fair 5.17) | 21.1% | 19.3% | ±0.4 |
| O/U 2.5: Over 2.5 (priced 1.98 · fair 1.99) | 50.4% | 50.2% | ±0.5 |
| O/U 2.5: Under 2.5 (priced 2.02 · fair 2.01) | 49.6% | 49.8% | ±0.5 |
| BTTS yes (priced 2.01 · fair 2.01) | 49.9% | 49.8% | ±0.5 |
| BTTS no (priced 1.99 · fair 1.99) | 50.1% | 50.2% | ±0.5 |
| Correct score: 1-0 (priced 8.44 · fair 8.34) | 11.8% | 12.0% | ±0.3 |
| Correct score: 1-1 (priced 8.68 · fair 8.79) | 11.5% | 11.4% | ±0.3 |
| Correct score: 2-0 (priced 10.40 · fair 9.88) | 9.6% | 10.1% | ±0.3 |
My reading is that a generous away price at one bookmaker often shows doubt about the away side rather than an opportunity. The rest of the market seems to have that right more often than the outlier.
Rung 3The wider the away gap, the stronger the home edge
This chart moves up the ladder by how far the best away price sits above the average. At the bottom, Under 2%, home wins actually trailed their price, at 43.1% against 44.3% over 20,856 games. Through the middle rungs the two lines run close together.
At 15% or more the gap opens clearly. Home wins landed 62.3% against 59.2% expected across 16,971 games, the widest spread on the chart.
View the data: home win up and down the ladder
| Expected | Actual | 95% range | |
|---|---|---|---|
| Under 2% (20,856 games) | 44.3% | 43.1% | ±0.7 |
| 2-4% (26,553 games) | 34.0% | 33.5% | ±0.6 |
| 4-6% (31,660 games) | 38.6% | 38.6% | ±0.5 |
| 6-8% (22,767 games) | 42.9% | 43.7% | ±0.6 |
| 8-10% (15,475 games) | 45.9% | 46.7% | ±0.8 |
| 10-15% (20,616 games) | 50.0% | 51.5% | ±0.7 |
| 15% or more (16,971 games) | 59.2% | 62.3% | ±0.7 |
So the size of the away outlier matters. A small gap tells me very little, while a large one is where the home side has most often beaten its price.
Rung 4Top flights show the clearer home win gap
Splitting by tier and era is how I test whether a pattern holds up or rests on one corner of the sample. In top flights (18,777 matches) the home win gap is +2.8 points. In lower divisions (19,147 matches) it is +1.5. Both are positive, but the top flights carry more of it.
By era the gap runs +2.4, +1.7 and +2.2 points, so it has not faded over time. The other columns stay small and change sign from row to row, which is what noise looks like.
View the data: gap by league tier and era
| Home win | Score 2-0 | Under 2.5 | BTTS no | |
|---|---|---|---|---|
| Top flights (18,777) | 2.8 pts | 0.9 pts | 0.3 pts | 0.5 pts |
| Lower divisions (19,147) | 1.5 pts | 0.1 pts | 0 pts | −0.4 pts |
| 2005/06-11/12 (18,686) | 2.4 pts | 0.6 pts | 0.6 pts | 0.1 pts |
| 2012/13-18/19 (11,122) | 1.7 pts | 0.5 pts | 0.3 pts | 0 pts |
| 2019/20-25/26 (8,116) | 2.2 pts | 0.3 pts | −0.9 pts | −0.1 pts |
Rung 5The margin still beats every priced side
This is the chart that keeps me honest. At the average price all 5 of the 5 priced sides lost money at this rung. Home win did best at −3.9%, and Away win was worst at −18.0%.
At the best available price Home win comes to −0.1%, close to break-even but still short of it. Correct score and BTTS have no recorded prices, so their gaps are measured against model odds with no margin. A real bookmaker's margin on those markets would have to be covered first.
Correct score and BTTS have no price in the records, so they are judged against margin-free model odds only.
View the data: flat-stake return on the priced sides
| At average price | At best price | |
|---|---|---|
| Home win | −3.9% | −0.1% |
| Draw | −10.0% | −4.8% |
| Away win | −18.0% | −4.7% |
| Over 2.5 | −7.2% | −2.4% |
| Under 2.5 | −6.6% | −1.9% |
The main caveat applies everywhere. Choosing the strongest side in each market flatters the winner, and these figures describe what happened, not what will happen next. I treat the home win pattern as context for my own reading of a match, not as a reason to bet on its own.
At this price
- Check the away outlier's size
The home win edge was widest at 15% or more, where home sides landed 62.3% against 59.2% expected. Below 2% it reversed.
- Leave the goal lines alone
Under 2.5 and BTTS no sat within +0.7 and +0.1 standard errors of their prices. There is no clear tilt to work with in those markets here.
- Demand the best home price
Home win returned −3.9% at the average price and −0.1% at the best one. If the price falls short of the fair 1.78, the data gives me no reason to take it.
Questions bettors ask
Does a big gap on the away price mean the away team is value?
Not on this evidence. Away wins landed 19.3% against 21.1% expected, and flat stakes at the average price returned −18.0%.
How often does the home team win when the best away price is 10% above average?
Home wins landed 56.3% across 37,924 matches, against 54.1% implied by the margin-free price. That gives fair odds of 1.78.
Is backing the home win at this price rung profitable?
Not after the margin. It returned −3.9% at the average price and −0.1% at the best available price, and past results do not promise future returns.
Hazel Thornton here. I cover whichever market fits the match best — sometimes BTTS, sometimes a goal total, sometimes the result. I'd rather pick the right tool than force every fixture into the same one.
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