Premier League

The American Express Community Stadium · Village Way

Brighton & Hove Albion crestBrighton & Hove Albion
1–1Finished
Leeds United crestLeeds United

Brighton & Hove Albion 1 x 1 Leeds United: prediction analysis

The model predicted correctly 3 of 5 settled markets.

Correct predictions

  • Double Chance: prediction Brighton & Hove Albion or draw; result Draw 1–1.
  • Both Teams to Score: prediction Yes; result Yes.
  • Over 9.5 corners: prediction Over 9.5; result 13 corners.

Incorrect predictions

  • 1x2: prediction Brighton & Hove Albion; result Draw 1–1.
  • Over 2.5 goals: prediction Over 2.5; result 2 goals.

Final assessment: For this game, most settled predictions matched the observed results.

View the analysis published before kickoff

Before the game, the model Predora Market Median estimated a 47.4% probability of a win for Brighton & Hove Albion, 26.6% for a draw, and 26.0% for a win for Leeds United.

The consensus of the 11 bookmakers analyzed makes Brighton the favorite, with the home side's odds ranging from 1.93 to 2.10 (median of 2.01). The draw is in the 3.45 to 3.74 range, while Leeds to win ranges from 3.40 to 3.75.

The deterministic signals point in the same direction as the market: there is broad convergence between the data-based assessment and the bookmakers' pricing. The main factors supporting this agreement are the xG differential and the recent head-to-head record, both favoring Brighton.

On the other hand, Leeds has shown strength recently, with a slight edge in PPG over the last 5 games and in overall season performance. This indicates that the gap between the sides is not as large as the pricing suggests, but the market already seems to factor this uncertainty into the odds range.

The comparison between the signals and the market puts the home side at around 64% on the home side versus 36% on the away side (excluding the draw), while the signals place Brighton at approximately 59%. This reflects relative strength, not an exact probability.

The draw accounts for around 27% of the 1X2 consensus, reinforcing that there is room for a close result. The main uncertainty is whether Leeds can maintain its good form and turn possession into goals away from home.

Market 1x2

#72221236
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
2.11 / 47.4%
Best Market Odds The implied probability of the bookmaker offering the highest odds for this outcome. A reference for comparison with the model's estimate.
Formula: 1 ÷ Best market odds (highest-paying bookmaker)
2.10 / 47.6%
Edge (Mathematical Advantage) The difference between the model's probability and the implied probability of the highest-paying bookmaker. A positive value means the model estimates a higher probability than the odds imply; it does not guarantee a profit.
Formula: Probability − Implied probability (Book)
-0.2 p.p.
EV (Expected Value) A statistical estimate calculated from the Active Model's probability and the highest observed odds. If the Active Model's estimate is closer to the true probability than the odds-implied probability, positive EV may indicate estimated value at those odds. It is not a proven advantage, promise of profit, or guarantee of a result.
Formula: (Estimated probability × Odds) − 1
-0.4%

Odds Comparison

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Probability Models

ModelBrighton & Hove AlbionDrawLeeds United
Predora Market Median 47.4% / 2.11 26.6% / 3.76 26.0% / 3.85

Market Double Chance

#72221236
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.35 / 74.0%
Best Market Odds The implied probability of the bookmaker offering the highest odds for this outcome. A reference for comparison with the model's estimate.
Formula: 1 ÷ Best market odds (highest-paying bookmaker)
1.29 / 77.5%
Edge (Mathematical Advantage) The difference between the model's probability and the implied probability of the highest-paying bookmaker. A positive value means the model estimates a higher probability than the odds imply; it does not guarantee a profit.
Formula: Probability − Implied probability (Book)
-3.5 p.p.
EV (Expected Value) A statistical estimate calculated from the Active Model's probability and the highest observed odds. If the Active Model's estimate is closer to the true probability than the odds-implied probability, positive EV may indicate estimated value at those odds. It is not a proven advantage, promise of profit, or guarantee of a result.
Formula: (Estimated probability × Odds) − 1
-4.5%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 74.0% / 1.35 52.6% / 1.90 73.4% / 1.36

AI Analysis

Market and data aligned

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Team Comparison

Head-to-head (H2H) These statistics use the teams' most recent head-to-head games, generally from the last 10 to 15 years.H2H Last 5

Factor Brighton & Hove Albion Leeds United
H2H: W/D/L (last 5) Results from the last 5 head-to-head games between the teams. Example: 3–1–1 = 3 wins, 1 draw, 1 loss for the team on the left.2-2-11-2-2
H2H: win % (home vs. away) (last 5) Head-to-head win percentage (last 5), split by home and away team. Example: the home team won 3 of 5 = 60%.40 %20 %

Outcome Strength (Season)

Game context (Home/Away)

Factor Brighton & Hove Albion Home Leeds United Away
PPG (home/away) Average points per game in the relevant context (home team at home, away team away). Example: 6 points in 4 games = 1.5 points/game.Points per game in context (home team at home / away team away).2 pts/game2 pts/game
Win % (home/away) Win percentage in the relevant context (home for the home team, away for the away team). Example: 2 wins in 4 games = 50%.50 %50 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.50 %50 %
Goal difference (home/away) Average goal difference in context: goals scored minus goals conceded per game. Example: scored 6 and conceded 4 in 4 games → (6−4)/4 = +0.5.2 goals/game0.5 goals/game
xG difference (home/away) Average xG difference in context: xG for minus xG against per game. Example: 1.4 − 1.1 = +0.3 xG/game.1.31 xG/game-0.51 xG/game

Season baseline (Overall) Temp

Factor Brighton & Hove Albion Leeds United
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.1.33 pts/game1.67 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.33.3 %33.3 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.33.3 %66.7 %
Goal difference (overall) Average goal difference this season: (goals scored − goals conceded) / games. Example: 10−6 in 8 games → +0.5 per game.1 goals/game0.33 goals/game
xG difference (overall) Average xG difference this season: xG for minus xG against per game. Example: 1.6 − 1.2 = +0.4 xG/game.0.95 xG/game-0.68 xG/game

Recent form (Last 5) These statistics cover the team's last 5 games, regardless of league or season.Last 5

Factor Brighton & Hove Albion Leeds United
Form (last 5): W/D/L Results from the last 5 games: wins, draws, and losses. Example: 2–2–1 = 2 wins, 2 draws, 1 loss.2-2-13-2-0
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.1.6 pts/game2.2 pts/game

Market Over 2.5 goals

#72221236
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.88 / 53.3%
Best Market Odds The implied probability of the bookmaker offering the highest odds for this outcome. A reference for comparison with the model's estimate.
Formula: 1 ÷ Best market odds (highest-paying bookmaker)
1.89 / 53.1%
Edge (Mathematical Advantage) The difference between the model's probability and the implied probability of the highest-paying bookmaker. A positive value means the model estimates a higher probability than the odds imply; it does not guarantee a profit.
Formula: Probability − Implied probability (Book)
+0.2 p.p.
EV (Expected Value) A statistical estimate calculated from the Active Model's probability and the highest observed odds. If the Active Model's estimate is closer to the true probability than the odds-implied probability, positive EV may indicate estimated value at those odds. It is not a proven advantage, promise of profit, or guarantee of a result.
Formula: (Estimated probability × Odds) − 1
+0.5%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 53.3% / 1.88 46.7% / 2.14

Team Comparison

Predictions (AI) Prev

FactorGame
Potential: average goals Pregame estimate of total goals, based on historical data and AI, combining both teams. Example: 2.8 goals/game ≈ an estimate of 3 goals.2.5 goals
Over 2.5 potential Pregame estimated probability of 3+ goals, based on historical data and AI. Example: 52% estimates Over 2.5 in about 52 of 100 similar games.Pregame probability of over 2.5 goals50 %
Under 2.5 potential Pregame estimated probability of under 2.5 goals, based on historical data and AI. Example: 55% estimates Under 2.5 in about 55 of 100 similar games.Pregame probability of under 2.5 goals50 %

Season (baseline)

Game context (Home/Away)

Factor Brighton & Hove Albion Home Leeds United Away
Goals scored (home/away) Average goals scored per game in the relevant context (home team at home, away team away). Example: 6 goals in 4 games = 1.5 goals/game.2.5 goals/game1 goals/game
Goals conceded (home/away) Average goals conceded per game in the home/away context. Example: 5 goals conceded in 4 games = 1.25 goals/game.0.5 goals/game0.5 goals/game
xG for (home/away) Average chance quality created per game (xG) in the home/away context. Example: 1.6 xG per game means the team’s shots add up to 1.6 expected goals per game on average.2.2 xG/game1.19 xG/game

Overall (Season) Temp

Factor Brighton & Hove Albion Leeds United
Over 2.5 (season) Percentage of season games with over 2.5 goals. Example: 7 of 13 games = 54%.Season games with Over 2.5 %67 %0 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.2.67 goals/game1 goals/game
Shots on target / game Average shots on target per game this season (home + away). Example: 48 shots on target in 10 games = 4.8 per game.5.67 shots on target/game3.33 shots on target/game
Goals conceded (overall) Average goals conceded per game this season (home + away). Example: 15 goals in 13 games = 1.15 goals/game.1.67 goals/game0.67 goals/game

League (baseline) League

FactorLeague
League average goals Average goals per game in the league this season (competition baseline). Example: 2.68 goals/game ≈ 2–3 goals per game.Average league goals per game (baseline)2.79 goals/game

Recent form (Last 5) These statistics cover the team's last 5 games, regardless of league or season.Last 5

Factor Brighton & Hove Albion Leeds United
Goals scored (last 5) Average goals scored per game in the last 5 games (recent form). Example: 9 goals in 5 games = 1.8 goals/game.2.67 goals/game1 goals/game
Goals conceded (last 5) Average goals conceded per game in the last 5 games (recent form). Example: 6 goals conceded in 5 games = 1.2 goals/game.1.67 goals/game0.67 goals/game

Head-to-head (H2H) These statistics use the teams' most recent head-to-head games, generally from the last 10 to 15 years.H2H Last 5

Factor Brighton & Hove Albion Leeds United
H2H: Over 2.5 % (last 5) Percentage of the last 5 head-to-head games with over 2.5 goals. Example: 3 of 5 games = 60%.Recent H2H games with Over 2.540 %40 %

Market Both Teams to Score

#72221236
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.79 / 55.8%
Best Market Odds The implied probability of the bookmaker offering the highest odds for this outcome. A reference for comparison with the model's estimate.
Formula: 1 ÷ Best market odds (highest-paying bookmaker)
1.70 / 58.8%
Edge (Mathematical Advantage) The difference between the model's probability and the implied probability of the highest-paying bookmaker. A positive value means the model estimates a higher probability than the odds imply; it does not guarantee a profit.
Formula: Probability − Implied probability (Book)
-3.0 p.p.
EV (Expected Value) A statistical estimate calculated from the Active Model's probability and the highest observed odds. If the Active Model's estimate is closer to the true probability than the odds-implied probability, positive EV may indicate estimated value at those odds. It is not a proven advantage, promise of profit, or guarantee of a result.
Formula: (Estimated probability × Odds) − 1
-5.1%

Odds Comparison

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Probability Models

ModelYesNo
Predora Market Median 55.8% / 1.79 44.2% / 2.26

Team Comparison

Predictions (AI) Prev

FactorGame
Potential: BTTS (%) Pregame estimated probability of both teams scoring, based on historical data and AI. Example: 58% estimates that about 58 of 100 similar games would have goals from both teams.0 %
Over 2.5 potential Pregame estimated probability of 3+ goals, based on historical data and AI. Example: 52% estimates Over 2.5 in about 52 of 100 similar games.Pregame probability of over 2.5 goals50 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Brighton & Hove Albion Leeds United
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.67 %67 %
Games scoring 1+ goal % (season) Percentage of season games in which the team scored at least 1 goal. Example: scored in 10 of 12 games = 83%.100 %100 %
Games conceding 1+ goal % (season) Percentage of season games in which the team conceded at least 1 goal. Example: conceded in 8 of 12 games = 67%.67 %67 %

Indicators associated with fewer BTTS outcomes

Factor Brighton & Hove Albion Leeds United
Clean sheet % (season) Percentage of clean sheets, a factor associated with fewer Both Teams to Score outcomes. Example: 4 clean sheets in 12 games = 33%.33 %33 %
Failed to score % (season) Percentage of games without scoring, a factor associated with fewer Both Teams to Score outcomes. Example: no goals scored in 3 of 12 games = 25%.0 %0 %

Recent form (Last 5) These statistics cover the team's last 5 games, regardless of league or season.Last 5

Factor Brighton & Hove Albion Leeds United
Games scoring 1+ goal % (last 5) Percentage of the last 5 games in which the team scored at least 1 goal. Example: scored in 4 of 5 = 80%.100 %100 %
Games conceding 1+ goal % (last 5) Percentage of the last 5 games in which the team conceded at least 1 goal. Example: conceded in 3 of 5 = 60%.66.7 %66.7 %

Head-to-head (H2H) These statistics use the teams' most recent head-to-head games, generally from the last 10 to 15 years.H2H Last 5

FactorHead-to-head (H2H)
H2H: BTTS % (last 5) Percentage of the last 5 head-to-head games in which both teams scored. Example: 3 of 5 games = 60%.40 %

Market Over 9.5 corners

#72221236
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.84 / 54.4%
Best Market Odds The implied probability of the bookmaker offering the highest odds for this outcome. A reference for comparison with the model's estimate.
Formula: 1 ÷ Best market odds (highest-paying bookmaker)
1.76 / 57.0%
Edge (Mathematical Advantage) The difference between the model's probability and the implied probability of the highest-paying bookmaker. A positive value means the model estimates a higher probability than the odds imply; it does not guarantee a profit.
Formula: Probability − Implied probability (Book)
-2.6 p.p.
EV (Expected Value) A statistical estimate calculated from the Active Model's probability and the highest observed odds. If the Active Model's estimate is closer to the true probability than the odds-implied probability, positive EV may indicate estimated value at those odds. It is not a proven advantage, promise of profit, or guarantee of a result.
Formula: (Estimated probability × Odds) − 1
-4.6%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 54.4% / 1.84 45.6% / 2.19

Team Comparison

Predictions (AI) Prev

FactorGame
Potential: average corners Pregame estimate of total corners, based on historical data and AI. Example: 10.2 corners ≈ an estimate of 10 corners.7 corners
Potential Over 9.5 corners (%) Pregame estimated probability of 10+ corners, based on historical data and AI. Example: 58% estimates Over 9.5 in about 58 of 100 similar games.0 %

Season (baseline)

Game context (Home/Away)

Factor Brighton & Hove Albion Home Leeds United Away
Corners for (home/away) Average corners won per game in context (home team at home, away team away). Example: 24 corners in 6 games = 4.0 per game.6 corners/game4 corners/game
Total corners (home/away) Average total corners per game in context (both teams combined). Example: 60 corners in 6 games = 10.0 per game.10 corners/game9 corners/game

Overall (Season) Temp

Factor Brighton & Hove Albion Leeds United
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.6.33 corners/game4.33 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.10.33 corners/game9.66 corners/game

League (baseline) League

FactorLeague
League average corners (corners/game) Average corners per game in the league this season (competition baseline). Example: 9.3 corners/game ≈ 9–10 corners per game.9.07 corners/game

Cards

Team Comparison

Predictions (AI) Prev

FactorGame
Potential: average cards Pregame estimate of total cards, based on historical data and AI. Example: 4.8 cards ≈ an estimate of 5 cards.3 cards/game

Season baseline (Season) Temp

Factor Brighton & Hove Albion Leeds United
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.2.67 cards/game1.33 cards/game
Over 4.5 cards % Probability (or observed percentage, depending on the source) of 5+ cards in the game. Example: 60% estimates Over 4.5 in about 60 of 100 similar games.67 %33 %

League (baseline) League

FactorLeague
League average cards Average cards per game in the league this season (competition baseline). Example: 4.3 cards/game ≈ 4–5 cards per game.3.75 cards/game