Draw Priced 3.00-3.20: The Draw, 1-1 or Under 2.5 Goals?
A draw priced between 3.00 and 3.20 tells you more than it seems to. The draw, the 1-1 and the Under all ran ahead of the market. The margin still has the final word.

- +4.1%best-price return, Draw
- +5.4std errors for 1X2, the best fit
- 32.3% vs 30.5%Draw: actual vs expected
- 18,041matches at draw 3.00-3.20
- Market
- 1X2
- The question
- When the draw is priced 3.00-3.20, does the draw itself, the 1-1, BTTS or under 2.5 fit that price best?
- Sample
- 22 European divisions, 2005/06 to 2025/26, 155,895 matches with 1X2 and over/under 2.5 prices
When I look at a draw priced 3.00-3.20, I'm looking at a match the market thinks is close. The question I wanted answered is simple: which bet actually fits that price best? The candidates are the draw itself, the 1-1, both teams to score and Under 2.5.
Across 18,041 matches in 22 European divisions from 2005/06 to 2025/26, the draw was the best fit. It landed 32.3% of the time against 30.5% implied, a gap of +5.4 standard errors. If you came here from my 1X2 picks for today page, this is the rung where I'd look at the middle of the 1X2 line before either side.
Rung 1The draw leads, with 1-1 and Under close behind
This table takes the strongest side in each market and ranks it by how far it beat expectation, measured in standard errors. The draw comes top at +5.4, and its fair odds from what happened are 3.10. The 1-1 and Under 2.5 tie behind it at +4.1 each. BTTS yes trails at +1.3, which is well inside normal noise.
| Market | Best side | Actual ±95% | Fair odds | Gap (pts) | Return at fair | Std errors |
|---|---|---|---|---|---|---|
| 1X2 | Draw | 32.3% ±0.7 | 3.10 | +1.8 | +6.0% | +5.4 |
| Correct score | 1-1 | 15.1% ±0.5 | 6.61 | +1.1 | +7.6% | +4.1 |
| Over/under 2.5 | Under 2.5 | 59.9% ±0.7 | 1.67 | +1.5 | +2.6% | +4.1 |
| BTTS | BTTS yes | 49.0% ±0.7 | 2.04 | +0.5 | +1.0% | +1.3 |
Std errors = gap divided by its sampling error; beyond ±2.0 is unlikely to be chance alone.
What I take from this is that the signal belongs to the low-scoring, level-game family of outcomes. BTTS is not part of it. A close price here has tended to mean a cagey match, not an open one.
Rung 2Every side at this rung against its price
Here all ten sides are set out, with the expected rate beside the actual one. The draw, the 1-1, the 0-0 and Under 2.5 all finished above their marks. Away wins and Over 2.5 fell short. BTTS yes landed 49.0% against 48.5% expected, which is close enough to call a coin the market priced correctly.
Six of the ten sides sit more than 2.0 standard errors from expectation. That is a real pattern, but one caveat matters before going further. The correct-score and BTTS expectations come from a price-fitted model with no margin built in, and choosing the best side in each market flatters whichever one wins. A real bookmaker's 1-1 price carries a margin that the +1.1 point gap would have to overcome.
Correct-score rows are the three likeliest scorelines at this rung by the price-fitted model.
View the data: every side at draw 3.00-3.20
| Expected | Actual | 95% range | |
|---|---|---|---|
| 1X2: Home win (priced 2.56 · fair 2.58) | 39.0% | 38.8% | ±0.7 |
| 1X2: Draw (priced 3.28 · fair 3.10) | 30.5% | 32.3% | ±0.7 |
| 1X2: Away win (priced 3.27 · fair 3.46) | 30.6% | 28.9% | ±0.7 |
| O/U 2.5: Over 2.5 (priced 2.40 · fair 2.49) | 41.6% | 40.1% | ±0.7 |
| O/U 2.5: Under 2.5 (priced 1.71 · fair 1.67) | 58.4% | 59.9% | ±0.7 |
| BTTS yes (priced 2.06 · fair 2.04) | 48.5% | 49.0% | ±0.7 |
| BTTS no (priced 1.94 · fair 1.96) | 51.5% | 51.0% | ±0.7 |
| Correct score: 1-1 (priced 7.11 · fair 6.61) | 14.1% | 15.1% | ±0.5 |
| Correct score: 1-0 (priced 8.46 · fair 8.32) | 11.8% | 12.0% | ±0.5 |
| Correct score: 0-0 (priced 9.68 · fair 8.94) | 10.3% | 11.2% | ±0.5 |
Rung 3The draw outruns its price only at the short end
This chart follows the draw up the price ladder, from 2.60 to 8.00. The 3.00-3.20 band is where it runs furthest ahead of its price: 32.3% actual against 30.5% expected. Further out the gap closes and then reverses. At 5.00-8.00 the draw landed 14.1% against 16.3% expected, over 8,620 games.
View the data: draw up and down the ladder
| Expected | Actual | 95% range | |
|---|---|---|---|
| 2.60-3.00 (7,184 games) | 32.3% | 33.8% | ±1.1 |
| 3.00-3.20 (18,041 games) | 30.5% | 32.3% | ±0.7 |
| 3.20-3.40 (39,979 games) | 28.6% | 28.6% | ±0.4 |
| 3.40-3.60 (36,094 games) | 27.2% | 27.1% | ±0.5 |
| 3.60-4.00 (27,577 games) | 25.4% | 24.8% | ±0.5 |
| 4.00-5.00 (16,893 games) | 22.0% | 20.9% | ±0.6 |
| 5.00-8.00 (8,620 games) | 16.3% | 14.1% | ±0.7 |
So this is a story about short draw prices, not about draws in general. The market seems to undersell the draw when it already rates it, and to oversell it when it's a long shot. I find that more useful than any blanket rule about backing stalemates.
Rung 4Lower divisions and recent seasons show the widest draw gap
The heatmap splits each best side by league tier and by era. The draw gap is +1.3 points in top flights across 6,803 matches. In lower divisions it is +2.1 points across 11,238 matches. By era it has widened steadily, from +1.5 points in 2005/06-11/12 to +1.9 and then +2.1 in the most recent block.
View the data: gap by league tier and era
| Draw | Score 1-1 | Under 2.5 | BTTS yes | |
|---|---|---|---|---|
| Top flights (6,803) | 1.3 pts | 0.8 pts | 2.4 pts | −0.3 pts |
| Lower divisions (11,238) | 2.1 pts | 1.2 pts | 1 pts | 1 pts |
| 2005/06-11/12 (5,816) | 1.5 pts | 0.4 pts | 2 pts | 0.1 pts |
| 2012/13-18/19 (5,758) | 1.9 pts | 1.6 pts | 1.7 pts | 0.6 pts |
| 2019/20-25/26 (6,467) | 2.1 pts | 1.1 pts | 0.9 pts | 0.8 pts |
Under 2.5 runs the other way: it is strongest in top flights and in the earliest era, and it narrows over time. If I were weighing the two at this rung, the tier of the fixture would decide it for me. Top-flight matches lean to the goal line, lower-league matches to the draw.
Rung 5Only the draw at the best price stayed positive
This is the chart that keeps me honest. At the average market price, all five priced 1X2 and over/under sides lost money at this rung. The draw came closest, at −0.9%. The away win was worst at −12.4%, and still −6.8% even at the best price available.
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 | −7.2% | −2.3% |
| Draw | −0.9% | +4.1% |
| Away win | −12.4% | −6.8% |
| Over 2.5 | −9.8% | −4.8% |
| Under 2.5 | −4.0% | −0.3% |
The draw at the best price returned +4.1%. Taken at its margin-free 3.28 it would have made +6.0%, which shows how much of that edge depends on the price you actually get. These are past results, not a promise. Taking the average price on this rung has meant paying the margin every time.
At this price
- Look at the draw first
At 3.00-3.20 the draw landed 32.3% against 30.5% implied, the strongest fit of any market. Its fair odds from results are 3.10.
- Shop for the price
The draw lost −0.9% at the average price but returned +4.1% at the best price. Without a better-than-average quote, the gap disappears.
- Skip BTTS here
BTTS yes ran only +1.3 standard errors from expectation, which is within noise. Its fair odds of 2.04 offer nothing the market missed.
Questions bettors ask
How often does a draw priced 3.00-3.20 actually land?
Across 18,041 matches it landed 32.3% of the time, against 30.5% implied by the margin-free price. That puts its fair odds at 3.10.
Is 1-1 a good correct score when the draw is around 3.10?
The 1-1 landed 15.1% against a modelled 14.1%, giving fair odds of 6.61. That model has no margin in it, though, so a real price would need to beat 6.61 before any of the gap counted.
Does Under 2.5 fit a 3.00-3.20 draw price?
Under 2.5 landed 59.9% against 58.4% priced, a gap of +4.1 standard errors, with fair odds of 1.67. It still lost money at the average price, so the price you take matters.
