Does Recent Form Matter at the Same Odds? Last-5 Points vs Results
I compared last-five points with how often teams actually won at the price they were given. The market prices form almost perfectly. The edges are small and sit in the corners.
- 29.5%Win rate after 0-3 points from the last five
- 53.7%Win rate after 13-15 points from the last five
- +0.6 ptsTop-form teams: won minus priced
- −3.1%Top-form teams: ROI at best price
Every bettor knows the feeling: a side on a hot run looks like it should be shorter, and a side in a slump looks like it should be drifting. I wanted to know whether the price already does that work. Across 21 European divisions and 116,273 team-matches, I set each team's points from its last five league games against how often it actually won at the price it was given.
The short answer is that the market has form almost exactly right. Teams with 0-3 points won 29.5% of the time and teams with 13-15 points won 53.7%, and in every band the win rate sat within a whisker of the priced chance. If you follow my 1X2 betting tips page, this is why you won't see me backing a team simply because it is flying. The interesting material is in the corners of the grid, not the headline.
Q1Do in-form teams win more often than their odds suggest?
Each row pairs the priced chance with the actual win rate for one form band. The dots almost sit on top of each other. Teams on 0-3 points were priced at 29.4% and won 29.5%. The 4-6 and 10-12 bands matched to the decimal, at 33.2% and 44.1%, and even the hottest teams, on 13-15 points, were priced at 53.1% and won 53.7%.
View the data: win rate vs priced chance by last-5 form
| Priced | Won | 95% range | |
|---|---|---|---|
| Last 5: 0-3 pts (18,169 games) | 29.4% | 29.5% | ±0.7 |
| Last 5: 4-6 pts (36,350 games) | 33.2% | 33.2% | ±0.5 |
| Last 5: 7-9 pts (35,633 games) | 37.7% | 37.5% | ±0.5 |
| Last 5: 10-12 pts (19,626 games) | 44.1% | 44.1% | ±0.7 |
| Last 5: 13-15 pts (6,495 games) | 53.1% | 53.7% | ±1.2 |
That +0.6 pts gap for top-form sides is the largest in the chart, and it comes from the smallest group, 6,495 matches, so it carries the widest uncertainty. My reading is simple: form clearly matters, because win rates climb steadily with points. The market knows that, and it has already charged you for it.
Q2Does form matter differently for favourites and underdogs?
Here I split each form band by price, and the overall balance breaks into a pattern. The largest negative cell is hot teams priced under 30%: sides on 13-15 points won 4.1 points less often than their price implied. At the other end, teams on 7-9 points priced 60%+ won 4.3 points more often than priced, and the 60%+ column is positive in every row except the coldest one.
The under-30% column is negative in every row, so part of this looks like a general lean against long shots rather than a pure form effect. The form story is in how deep that negative runs. It is mild for cold teams at −0.5, deepens through the warmer bands and reaches −4.1 for the hottest, which suggests a good run is what tempts people into an outsider at the wrong price.
Smallest cell: 223 team-matches.
View the data: won minus priced, by form and price band
| Priced under 30% | Priced 30-45% | Priced 45-60% | Priced 60%+ | |
|---|---|---|---|---|
| Last 5: 0-3 pts | −0.5 pts | 0.3 pts | 2.4 pts | −1.3 pts |
| Last 5: 4-6 pts | −1 pts | 0.2 pts | 1.1 pts | 1.9 pts |
| Last 5: 7-9 pts | −1.8 pts | −0.7 pts | 1.4 pts | 4.3 pts |
| Last 5: 10-12 pts | −2.3 pts | −0.6 pts | 0.8 pts | 2.5 pts |
| Last 5: 13-15 pts | −4.1 pts | −2.3 pts | 1.1 pts | 3.5 pts |
Some of these cells are thin, with the smallest at 223 team-matches, so I treat the grid as a map of where to look, not a set of rules.
Q3Is good recent form backed by genuine shot dominance?
If form were mostly luck, you would expect shot numbers to stay flat while points jumped around. They don't. Teams on 0-3 points had taken 44.7% of the shots in those five matches, and the share rises with every band, to 50.8% in the middle and 59.8% for teams on 13-15 points.
View the data: shot share over the same five matches
| Average share of shots taken in the previous five matches | |
|---|---|
| Last 5: 0-3 pts | 44.7% |
| Last 5: 4-6 pts | 47.7% |
| Last 5: 7-9 pts | 50.8% |
| Last 5: 10-12 pts | 54.6% |
| Last 5: 13-15 pts | 59.8% |
This is why the market is right to move prices on form. Most good runs are built on teams controlling games, not on fortunate finishing. When I see a side high in the form table but ordinary on shots, that is the case worth a second look, because the points may be running ahead of the performances.
Q4Can you profit by backing teams on hot or cold runs?
Flat-staking every team to win loses money in every form band. At the major bookmaker the losses sit in a tight range, from −6.7% for top-form sides to −8.3% for the 7-9 band. That is roughly the margin, with no sign that form tilts it either way.
The best-price column tells the more useful story. Shopping around cuts the loss for cold teams from −7.5% to −1.7%, and for the hottest teams from −6.7% to −3.1%. The main caveat applies here: form and price move together, because teams in form are shorter. So this study can only ask whether the price already reflects form, not whether form matters, and the answer is that it reflects it well.
View the data: flat-stake roi backing the team, by last-5 form
| Major bookmaker | Best price | |
|---|---|---|
| Last 5: 0-3 pts | −7.5% | −1.7% |
| Last 5: 4-6 pts | −7.6% | −2.4% |
| Last 5: 7-9 pts | −8.3% | −3.8% |
| Last 5: 10-12 pts | −7.3% | −3.2% |
| Last 5: 13-15 pts | −6.7% | −3.1% |
My takeaway is blunt. The price you take matters far more than the form you are backing. Cold teams at the best price lose the least of any band, which fits the idea that slumping sides are not being oversold.
The playbook
How we would use these numbers before the next 1X2 bet.
- Always take the best price. In the 4-6 band the loss at the major bookmaker was −7.6% against −2.4% at the best price. That gap is bigger than any form effect in the study.
- Be wary of hot outsiders. Teams on 13-15 points priced under 30% won 4.1 points less often than priced. A good run should not be the only reason you back a long shot.
- Check shots behind the points. Form bands line up with shot share, from 44.7% to 59.8%. When points and shot dominance disagree, that's the match to study rather than the form table.
Data & method
- Data: 21 European divisions, 2016/17–2025/26, 67,005 matches with match statistics and 1X2 prices.
- Last-5 form = league points (3 for a win, 1 for a draw) from the team's previous five league matches in the same season; the current match is never included.
- Price bands use the team's margin-removed priced chance to win.
- Shot share = team's shots divided by all shots in its previous five matches.
- Priced chance = the major bookmaker's 1X2 price with the margin removed proportionally (1/odds divided by the sum of the three 1/odds).
- Flat-stake ROI = average profit per 1-unit stake at the major bookmaker's price and at the best available price (best price cleaned: kept only when at least the major-bookmaker price and no more than 1.6× it).
- Caveat: Form and price are strongly linked (teams in form are shorter prices), so the question is only whether the price already reflects form, not whether form matters.
- Caveat: Teams with few matches played are excluded until their sixth league match of the season.
Quick Q&A
- Does recent form predict football results?
- Yes. Teams with 0-3 points from their last five won 29.5% of the time, while teams with 13-15 points won 53.7%. The catch is that the odds already account for this almost exactly.
- Is it profitable to back teams in good form?
- Not on its own. Teams on 13-15 points returned −6.7% at the major bookmaker and −3.1% at the best price, even though they won slightly more often than priced.
- Are teams on a bad run undervalued by the odds?
- Barely. Teams on 0-3 points were priced at 29.4% and won 29.5%, a +0.1 points gap. They still lost −1.7% at the best price, which was the smallest loss of any band.
I'm Cordelia Mason, a football betting writer focused on 1X2 markets, chasing the gaps between the prices on the board and what actually plays out on the pitch.
More from Cordelia Mason →
