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Premier League 2019–2025 · 2,464 Matches · 7,274 Goals

Goal Intelligence

Six seasons, 7,274 goals, one counterintuitive discovery: early goals create the most volatile matches, not the most secure ones. A first goal before 30' leaves a 32% chance of the other team winning outright. A first goal after 60' locks in a draw 63% of the time. This is the Goal Cascade framework.

Goals scored 76-90'
22.6%
1 in 4.4 goals in the final 15 min
Score first → win rate
38.2%
But 28.9% of games see comebacks
Big chance conversion
61.4%
Global rate — 1 in 1.6 big chances scored
Average goals / match
3.12
2,329 matches with goals recorded

🌊 Goal Cascade Risk — Three Match Regimes

The timing of the first goal determines which of three distinct match regimes takes hold. Counterintuitively, early goals produce the most volatile environments — not the most secure ones.

🔴 Open Game · 0–30'
32.1%
cascade risk
First goal before 30': the trailing team wins outright 1 in 3 times. The match stays fully open — the opening goal is a signal, not a sentence.
40.5% win · 27.3% draw · N=881
🟡 Contested Game · 31–60'
24.8%
cascade risk
First goal 31–60': moderate volatility. Draw becomes the most likely outcome (40%). Either side can still win — this is where live markets are least efficient.
35.2% win · 40.0% draw · N=335
🩵 Locked Game · 61–90'
11.9%
cascade risk
First goal after 60': the match locks in. Two thirds end as a draw; comebacks become rare events. Scoring late doesn't win games — it negotiates draws.
25.0% win · 63.1% draw · N=84
⚡ The structural insight

Early leads are rented, not owned. An opening goal before the 30th minute still leaves a 32% window for the other team to win. But a goal after the 75th minute is nearly irreversible — 7.7% comeback rate, 76.9% draw. The conventional wisdom — 'the earlier you score, the better' — inverts when you look at match regime: early goals lock in volatility, late goals lock in the result.

📊 Risk-First Market Implication
Markets systematically overprice the '1-0 hold' probability after an early goal. An Open Game still carries 32% cascade risk — yet pre-match odds on the opener rarely reflect this. The highest-value caution zone: a market favourite scores first in the 15–25' window. The lead looks decisive. The regime says otherwise. Contested Games (31–60') are where live market pricing is most uncertain — 40% draw probability with nearly equal win/comeback splits creates genuine market inefficiency.

⏱️ Goal Timing — 5-Minute Distribution

7,274 goals across 2,329 matches (seasons 2019–20 through 2024–25). Each bar = proportion of all goals scored in that 5-minute window.

1-5'
3.9%
284
6-10'
4.3%
311
11-15'
4.6%
337
16-20'
4.6%
337
21-25'
4.7%
343
26-30'
4.9%
355
31-35'
5.4%
391
36-40'
4.7%
345
41-45'
6.4%
463
46-50'
6.3%
457
51-55'
6%
433
56-60'
5.5%
397
61-65'
5.9%
426
66-70'
5.3%
386
71-75'
5.1%
368
76-80'
5.2%
378
81-85'
5.4%
394
86-90'
11.9%
869
🔴 Red = peak window  ·  🟡 Amber = above average  ·  🟢 Green = average  ·  🩵 Teal = below average

Phase Breakdown

Phase Goals % Per match
0-15' 932 12.8%
0.40
16-30' 1,035 14.2%
0.44
31-45' 1,199 16.5%
0.51
46-60' 1,287 17.7%
0.55
61-75' 1,180 16.2%
0.51
76-90' 1,641 22.6%
0.70
⏱️ Stoppage Time H1 (45+)
7.7%
of all goals — 560 goals
⏱️ Stoppage Time H2 (90+)
6.7%
of all goals — 487 goals

⚽ First Goal Effect — Does Scoring First Win Matches?

Based on 1,300 matches with valid scorelines and commentary. Outcome from the perspective of the team that scored first.

Won the match
38.2%
(496 matches)
Match drawn
32.9%
(428 matches)
Comeback (opponent won)
28.9%
(376 matches)

Win Rate by When You Scored First

First goal at N Win% Draw% Comeback%
0-15' 515 41.0% 26.6% 32.4%
16-30' 366 39.9% 28.4% 31.7%
31-45' 206 36.4% 36.4% 27.2%
46-60' 129 33.3% 45.7% 20.9%
61-75' 58 29.3% 56.9% 13.8%
76-90' 26 15.4% 76.9% 7.7%
⚡ Early goal (0-15') — most decisive
41.0%
win rate. But 32.4% of these games still produce a comeback — scoring early is NOT a guarantee.
🕐 Late goal (76-90') — rarely decisive
15.4%
win rate. 76.9% of matches end in a draw after a 76-90' opener — scoring late rarely leads to a second.
🔄 Best comeback team
Manchester City
50.9% comeback rate when trailing first (29/57 games). Sheffield United worst at 11.5% (3/26).

🕰️ Team Goal Timing Profile

Average goal minute and late/early scoring tendencies. Sorted by average goal minute — teams at the top score later in matches.

🔴 Latest scoring teams
Brentford27.4%
Everton26.7%
Leicester City25.8%
Bournemouth25.8%
Nottingham Forest25.2%
% goals scored in 76-90'
🟢 Earliest scoring teams
Burnley15.5%
West Bromwich Albion15.4%
Crystal Palace15.2%
Manchester City15.1%
Wolverhampton Wanderers14.9%
% goals scored in 0-15'
Team Goals Avg min % in 76-90' % in 0-15'
Sunderland 32 55.0' 21.9%
9.4%
Luton Town 65 53.9' 23.1%
9.2%
Nottingham Forest 163 52.3' 25.2%
12.3%
Brentford 252 52.2' 27.4%
10.7%
Newcastle United 348 51.9' 23.6%
11.5%
Watford 107 51.8' 24.3%
13.1%
Brighton and Hove Albion 307 51.8' 24.1%
12.1%
Arsenal 353 51.6' 22.1%
11.3%
Leicester City 256 51.5' 25.8%
10.2%
Chelsea 326 51.5' 24.8%
9.8%
Bournemouth 213 51.4' 25.8%
11.3%
Everton 292 51.1' 26.7%
14.0%
Manchester United 356 50.8' 21.9%
11.5%
Sheffield United 144 50.7' 20.8%
9.7%
Crystal Palace 302 50.5' 23.5%
15.2%
Leeds United 185 50.5' 23.8%
13.0%
West Ham United 359 50.0' 19.8%
11.7%
Aston Villa 354 50.0' 20.6%
13.0%
Tottenham Hotspur 364 49.8' 21.2%
14.0%
Wolverhampton Wanderers 308 49.8' 23.1%
14.9%
Fulham 226 49.6' 19.5%
11.9%
Liverpool 372 49.4' 23.9%
14.8%
West Bromwich Albion 52 48.4' 19.2%
15.4%
Norwich City 108 48.4' 18.5%
13.9%
Ipswich Town 58 48.2' 22.4%
12.1%
Burnley 220 47.9' 20.5%
15.5%
Manchester City 430 47.8' 21.2%
15.1%
Southampton 252 47.4' 17.5%
14.7%

🎯 Big Chance Efficiency — Who Converts Under Pressure?

bigChanceScored ÷ bigChanceCreated from Opta team_stats across 1,299 matches with recorded big chance data. A 'big chance' is a situation where a player is expected to score.

Most prolific
Manchester City
2.72
big chances / match
Best conversion rate
Bournemouth
70.5%
(86+ matches sample)
Worst conversion rate
Brighton
54.8%
(129 matches, significant)
Global conversion rate
61.4%
1 in 1.6 big chances becomes a goal
Team M Created Scored Conv% BC/match Win%
Luton Town 28 36 33 91.7%
1.29 10.7%
Leicester City 86 154 110 71.4%
1.79 33.7%
Bournemouth 87 146 103 70.5%
1.68 31.0%
Newcastle United 115 216 149 69.0%
1.88 37.4%
Southampton 90 127 87 68.5%
1.41 18.9%
Nottingham Forest 55 97 66 68.0%
1.76 29.1%
Wolverhampton Wanderers 104 159 108 67.9%
1.53 28.8%
Arsenal 114 217 147 67.7%
1.90 50.9%
Fulham 85 139 94 67.6%
1.64 35.3%
West Ham United 127 225 146 64.9%
1.77 33.9%
Brentford 93 205 132 64.4%
2.20 36.6%
Crystal Palace 105 198 123 62.1%
1.89 27.6%
Leeds United 66 113 70 61.9%
1.71 30.3%
Everton 107 204 125 61.3%
1.91 29.0%
Tottenham Hotspur 131 275 163 59.3%
2.10 38.2%
Sheffield United 45 66 39 59.1%
1.47 13.3%
Burnley 77 108 62 57.4%
1.40 16.9%
Watford 33 61 35 57.4%
1.85 24.2%
Manchester United 131 270 153 56.7%
2.06 46.6%
Manchester City 116 316 179 56.6%
2.72 59.5%
Chelsea 127 287 161 56.1%
2.26 43.3%
Brighton and Hove Albion 129 250 137 54.8%
1.94 31.8%
Liverpool 131 341 185 54.3%
2.60 53.4%
Aston Villa 122 251 136 54.2%
2.06 39.3%
Norwich City 23 32 17 53.1%
1.39 17.4%
Ipswich Town 21 37 19 51.4%
1.76 14.3%
⚠️ Big chance data available for ~53% of matches in the dataset. Luton Town (28 matches) has an anomalously high conversion rate — treat as small-sample outlier.

🔑 Key Findings

  • Early PL goals are the most volatile, not the most decisive — when the first goal arrives before 30', the cascade risk is 32.1%: the trailing team wins outright 1 in 3 times. This is the Open Game regime. The "score first, win first" narrative simply doesn't hold in the data.
  • After 60', matches lock in — the Locked Game regime produces only 11.9% cascade risk. 63.1% of such matches end as draws. Late opening goals don't win games; they negotiate the result. Scoring after 75' locks in 76.9% draws.
  • Goals are back-loaded — 22.6% of all PL goals arrive in the final 15 minutes (76-90'), but these are predominantly equalizers and late winners in already-decided matches. The 86-90' window alone accounts for 11.9% of all goals.
  • Man City exploits Open Game regimes better than anyone — 50.9% comeback rate when trailing (29/57 games), highest in the league. Their early-scoring tendency (avg min 47.8) means they frequently operate in Open Game conditions where cascades are structurally probable.
  • Brentford lives in the Locked regime — 27.4% of their goals arrive in 76-90' (highest in the league), avg min 52.2. Their scoring pattern means matches where Brentford lead are structurally unlikely to cascade. Sheffield United (11.5% comeback rate when trailing) confirms the same pattern from the defensive side.
  • Big chance volume dominates efficiency at scale — Man City creates 2.72 BC/match (highest) at 56.6% conversion and wins 59.5%. Brighton creates 1.94 BC/match at 54.8% conversion and wins 31.8%. The gap isn't conversion rate — it's volume. Creating more big chances per match is the structural advantage, not finishing them at a higher rate.

Methodology

  • Source: premierleague.com commentary JSON — 2,464 matches, GW1–GW38, seasons 2019–20 through 2024–25.
  • Goal detection: events where comment starts with 'Goal!' or event type contains 'goal'. Own goals excluded from first-scorer logic; penalties flagged separately.
  • Stoppage time normalised: 45+2 → 45, 90+4 → 90 for phase/bucket classification. Actual minute preserved for per-team profiling.
  • First-goal effect: 1,300 matches with valid final scores (homeTeam.score / awayTeam.score fields). Outcome classified from perspective of first-scoring team.
  • Comeback teams: computed from 'fell behind' perspective — team that conceded first, then won. Min 20 matches to qualify.
  • Big chance data (Opta team_stats.json): bigChanceCreated, bigChanceScored available for ~53% of the dataset. Conversion rate = bigChanceScored ÷ bigChanceCreated. bigChanceMissed tracked separately (Opta counts independently). Min 20 matches per team.
  • Team goal timing: goals from open play + penalties (excluding own goals) assigned to scoring team via 'Goal! TeamName N,' regex. Per-team stats use base minute (clamped stoppage).