Research
English Premier League temperature and goals
August heatwaves and frozen January pitches both get blamed for strange English Premier League scorelines. We took every league match since 2010, matched it to archived kickoff-hour temperature at the stadium's own coordinates, sorted matches into temperature bands, and compared goals and Over 2.5 rates against mild matches from the same season — and against the bookmakers' closing odds. A calm-wind cut separates heat from the still air that comes with it. Whatever the data showed is what is published below.
The headline
Temperature does not measurably move English Premier League scoring. Across 6,120 English Premier League matches from 2010-11 to 2026-27, the 393 matches that kicked off at 20°C or warmer score -0.03 goals against mild matches from the same season (t = -0.30, well inside noise by our significance threshold). They went Over 2.5 goals 53.4% of the time against 53.3% in mild conditions and a market-implied 54.1% (z = -0.27 against the closing odds). The 747 matches in the freezing (under 5°C) band score +0.03 goals against the mild control (t = 0.46) — short of significance, so directional evidence only. Taking only hot matches with light winds, the 324 matches at 20°C or more score -0.02 goals against the mild control (t = -0.21) — still short of significance, so heat alone is not carrying a scoring effect either. Temperature carries a gradient of about +0.001 goals per °C — effectively flat.
Hot matches (20°C+)
2.80
-0.03 goals vs mild, season-adjusted
393 matches · t = -0.30
Mild control
2.79
1,840 matches at 10–15°C
Sample average: 2.80 goals per match
Over 2.5, hot vs market
53.4%
Market implied: 54.1% · z = -0.27
Mild matches: 53.3%
Every temperature band against the mild control
| Kickoff-hour temperature | Matches | Avg temp | Total goals | Over 2.5 rate | Over rate vs mild | Market implied | Over rate vs market |
|---|---|---|---|---|---|---|---|
| Freezing: under 5°C | 747 | 3.0°C | 2.80+0.03t = 0.46 | 54.2% | +1.3t = 0.62 | 52.1% | +2.2z = 1.20 |
| Cold: 5–10°C | 2,004 | 7.6°C | 2.770.00t = 0.00 | 53.2% | +0.1t = 0.08 | 52.5% | +0.6z = 0.59 |
| Mild: 10–15°C (control) | 1,840 | 12.3°C | 2.79 | 53.3% | control | 53.4% | -0.1z = -0.05 |
| Warm: 15–20°C | 1,136 | 17.2°C | 2.87+0.08t = 1.30 | 55.4% | +2.2t = 1.19 | 53.3% | +2.1z = 1.43 |
| Hot: 20°C and above | 393 | 22.3°C | 2.80-0.03t = -0.30 | 53.4% | -0.6t = -0.22 | 54.1% | -0.7z = -0.27 |
| Hot with light winds (20°C and above, under 20 km/h) | 324 | 22.6°C | 2.80-0.02t = -0.21 | 54.0% | +0.1t = 0.03 | 54.1% | -0.1z = -0.05 |
The smaller figure in each cell is the gap with its test statistic: season-adjusted against the mild control in the goals and "vs mild" columns (t), and against the no-vig Over probability implied by that band's own closing odds in the last column (z). Roughly 2 is our threshold before a gap is treated as real; bands under 40 matches are greyed out, flagged, and quoted nowhere on this site. The calm-wind row overlaps the hot row by design — it is the same matches with wind removed, not an extra band.
Season by season
Scoring drifts across eras, and so does how hot or cold a season ran, which is why every comparison above measures a match against its own season rather than the pooled sample. The cold and hot share columns show a freak season cannot quietly drive the headline.
| Season | Matches | Goals per match | Cold matches (under 5°C) | Hot matches (20°C+) | Over 2.5 rate | Market implied |
|---|---|---|---|---|---|---|
| 2010-11 | 380 | 2.80 | 16.6% | 3.2% | 54.2% | 50.3% |
| 2011-12 | 380 | 2.81 | 14.7% | 4.7% | 53.7% | 52.3% |
| 2012-13 | 380 | 2.80 | 19.2% | 2.4% | 55.8% | 53.4% |
| 2013-14 | 380 | 2.77 | 4.5% | 2.4% | 51.6% | 51.8% |
| 2014-15 | 380 | 2.57 | 16.1% | 1.6% | 48.4% | 49.9% |
| 2015-16 | 380 | 2.70 | 7.4% | 6.6% | 52.9% | 49.4% |
| 2016-17 | 380 | 2.80 | 9.5% | 3.4% | 54.2% | 51.6% |
| 2017-18 | 380 | 2.68 | 22.4% | 5.3% | 51.1% | 51.3% |
| 2018-19 | 380 | 2.82 | 9.2% | 8.2% | 53.7% | 53.4% |
| 2019-20 | 380 | 2.72 | 7.9% | 12.1% | 52.1% | 54.0% |
| 2020-21 | 380 | 2.69 | 23.2% | 2.1% | 50.0% | 52.4% |
| 2021-22 | 380 | 2.82 | 9.7% | 7.1% | 53.9% | 52.3% |
| 2022-23 | 380 | 2.85 | 5.3% | 12.9% | 52.6% | 53.1% |
| 2023-24 | 380 | 3.28 | 10.5% | 12.1% | 64.7% | 58.9% |
| 2024-25 | 380 | 2.93 | 10.8% | 6.6% | 56.6% | 58.7% |
| 2025-26 | 380 | 2.75 | 9.7% | 8.7% | 55.0% | 54.3% |
| 2026-27 | 40 | 2.85 | 0.0% | 40.0% | 52.5% | 56.2% |
What actually holds up
- Hot matches score the same as mild ones. Across 393 matches at 20°C or warmer the season-adjusted gap is -0.03 goals (t = -0.30) — short of our significance threshold, so treated as noise. The warm band (1,136 matches, 15–20°C) is the largest gap in the table at +0.08 goals, t = 1.30 — still inside noise, so directional only.
- Cold does not suppress scoring either. The 747 matches in the freezing (under 5°C) band score +0.03 goals against the mild control (t = 0.46) — short of significance, so directional evidence only. The 5–10°C band (2,004 matches) sits at 0.00 goals (t = 0.00).
- Still air is not hiding a heat effect. Taking only hot matches with light winds, the 324 matches at 20°C or more score -0.02 goals against the mild control (t = -0.21) — still short of significance, so heat alone is not carrying a scoring effect either.
- The market column keeps us honest. Matches at 20°C or warmer were priced at 54.1% to go Over 2.5 by the closing odds and actually went Over 53.4% of the time — a gap of -0.7 points, z = -0.27. That gap is short of significance: on this evidence the closing odds already carry whatever temperature is worth in an English Premier League match.
Method and limits
- Sample: 6,120 English Premier League matches, 2010-11–2026-27, each with a final score and archived kickoff-hour weather at the stadium's own coordinates. English Premier League grounds are open-air, so no roof exclusions are needed.
- Venue mapping: matches are credited to the ground they were actually played at — Tottenham's Wembley seasons, West Ham's Upton Park years and Everton's Goodison Park years included.
- Weather: hourly ERA5 reanalysis 2 m air temperature at the stadium coordinates in the kickoff hour, in °C. Reanalysis is archived model data, not a thermometer reading at the ground.
- Control group: 10–15°C, the most typical English kickoff temperature band. Every figure is season-adjusted — each match against its own season's averages, for both goals and Over 2.5 rate.
- Odds: closing Over/Under 2.5 prices from the football-data.co.uk archive (market-average columns), de-vigged to an implied probability. 6,120 matches carry odds.
- English football is played through a narrow temperature window — the sample averages 11.2°C and genuine extremes are rare — so this study can rule out meaningful effects inside the English range, but says nothing about the 35°C heat of a summer tournament.
- The 40-match minimum and the significance threshold are house rules applied to every study before results are seen, not thresholds chosen to admit a row.
- Not controlled: team quality, tactics, refereeing eras, humidity, and pitch condition. Kickoff-hour temperature is a proxy for the whole match.
Data generated 2026-09-19. Numbers refresh as the archive tops up; corrections are dated and kept visible.
Where this is applied
These findings feed the game-time read on every Premier League venue page, using the same sample-size and significance rules published here.
Frequently asked
Does heat lower scoring in the English Premier League?
Temperature does not measurably move English Premier League scoring. Across 393 league matches that kicked off at 20°C or warmer since 2010, season-adjusted scoring sits -0.03 goals from the mild control of 1,840 matches (t = -0.30, well inside noise by our significance threshold). The 747 matches in the freezing (under 5°C) band score +0.03 goals against the mild control (t = 0.46) — short of significance, so directional evidence only. The band table shows every cut with its test statistic.
Do hot English Premier League matches go Over 2.5 more or less often?
Matches at 20°C or warmer go Over 2.5 goals 53.4% of the time against 53.3% in mild conditions — a season-adjusted gap of -0.6 percentage points (t = -0.22). Against the closing odds, which implied 54.1%, the gap is -0.7 points (z = -0.27). That gap is short of significance: on this evidence the closing odds already carry whatever temperature is worth in an English Premier League match. Because the soccer totals line is essentially always 2.5 goals, the market moves the price rather than the line, so the benchmark is the bookmakers’ own de-vigged closing odds.
Does cold weather suppress English Premier League goals?
The 747 matches in the freezing (under 5°C) band score +0.03 goals against the mild control (t = 0.46) — short of significance, so directional evidence only. Cold is the more plausible mechanism than heat in England — heavy touches on a frozen pitch, tight muscles, gloves — but the data decides, and the freezing band is published with the rest whatever it shows.
Is it the heat, or the calm air that comes with it?
Taking only hot matches with light winds, the 324 matches at 20°C or more score -0.02 goals against the mild control (t = -0.21) — still short of significance, so heat alone is not carrying a scoring effect either. That cut exists because warm afternoons are often still ones, and still air also helps passing — a scoring effect credited to heat could really be the absence of wind. Reported separately so you can see which one, if either, is doing work.
Does scoring rise or fall steadily with temperature?
Regressing season-adjusted goals on kickoff-hour temperature across 6,120 matches gives a gradient of about +0.001 goals per °C — effectively flat. The band table is the more robust read, because a regression line can be pulled around by a handful of extreme matches.
How big is the sample?
6,120 English Premier League matches from 2010-11 to 2026-27, each matched to archived kickoff-hour temperature at the stadium's own coordinates (sample average 11.2°C). 747 kicked off below 5°C, 393 at 20°C or warmer, and 6,120 carry closing Over/Under 2.5 odds. Every ground used since 2010 is included, and clubs that moved stadiums are credited to the right one.
So should temperature change how I read an English Premier League total?
On these numbers, no. Hot and cold matches alike score within noise of mild matches from the same season, and the closing odds already sit where the results land. A finding we act on has to clear the 40-match minimum and the significance threshold, and has to show up against the closing odds — temperature does neither.