LaLiga 2

Estadio Municipal de El Plantío · Calle del Dos de Mayo

Burgos CF crestBurgos CF
1–0Finished
Club Deportivo Eldense crestClub Deportivo Eldense

Burgos CF 1 x 0 Club Deportivo Eldense: prediction analysis

The model predicted correctly 5 of 5 settled markets.

Correct predictions

  • 1x2: prediction Burgos CF; result Burgos CF 1–0.
  • Double Chance: prediction Burgos CF or draw; result Burgos CF 1–0.
  • Over 2.5 goals: prediction Under 2.5; result 1 goal.
  • Both Teams to Score: prediction No; result No.
  • Over 9.5 corners: prediction Under 9.5; result 7 corners.

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 42.0% probability of a win for Burgos CF, 29.9% for a draw, and 28.1% for a win for Club Deportivo Eldense.

The market makes Burgos CF a clear favorite, with win odds ranging from 1.85 to 1.95 at the main bookmakers. The draw is priced in the 3.20–3.46 range, while Eldense's win odds are between 3.90 and 4.36. In terms of market share, Burgos accounts for around 68% of the preference, compared with just 32% for Eldense, excluding the draw.

The deterministic signals, however, tell a more balanced story. The relative analysis—which compares the strength of each side—points to a slight lean toward Eldense, driven mainly by recent history (H2H) and the visiting side's better chance quality (xG). The momentum data and home performance figure favor Burgos, but Eldense's xG advantage and dominance in head-to-head matchups suggest the game could be more competitive than the odds indicate.

This partial divergence between the market and the signals does not mean the bookmakers are wrong, but it reinforces that there are arguments for both sides. The draw, which accounts for around 28% of the consensus, cannot be ruled out as a meaningful possibility. Uncertainty is especially high because the signals are divided: while the market focuses on home strength, the statistical models see merit in the visitors.

Market 1x2

#72477428
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
2.38 / 42.0%
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)
2.42 / 41.3%
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)
+0.7 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
+1.6%

Odds Comparison

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Probability Models

ModelBurgos CFDrawClub Deportivo Eldense
Predora Market Median 42.0% / 2.38 30.0% / 3.34 28.1% / 3.56

Market Double Chance

#72477428
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.39 / 71.9%
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)
1.36 / 73.5%
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)
-1.6 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
-2.2%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 71.9% / 1.39 58.0% / 1.72 70.1% / 1.43

AI Analysis

Market and data partially 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 Burgos CF Club Deportivo Eldense
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.1-1-33-1-1
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%.20 %60 %

Outcome Strength (Season)

Game context (Home/Away)

Factor Burgos CF Home Club Deportivo Eldense 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).2.33 pts/game1 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%.66.7 %33.3 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.33.3 %0 %
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 = +0.5.1 goals/game-1 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.-0.58 xG/game0 xG/game

Season baseline (Overall) Temp

Factor Burgos CF Club Deportivo Eldense
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.1.83 pts/game0.83 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.50 %16.7 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.33.3 %33.3 %
Goal difference (overall) Average goal difference this season: (goals scored − goals conceded) / games. Example: 10−6 in 8 games → +0.5 per game.0.57 goals/game-0.71 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.-0.56 xG/game0.2 xG/game

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

Factor Burgos CF Club Deportivo Eldense
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.3-2-01-1-3
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.2.2 pts/game0.8 pts/game

Market Over 2.5 goals

#72477428
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.73 / 58.0%
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)
1.65 / 60.6%
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)
-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
-4.4%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 42.0% / 2.38 58.0% / 1.73

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.3 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 goals67 %
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 goals34 %

Season (baseline)

Game context (Home/Away)

Factor Burgos CF Home Club Deportivo Eldense 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.2.67 goals/game0.33 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.1.67 goals/game1.33 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.1.15 xG/game1.24 xG/game

Overall (Season) Temp

Factor Burgos CF Club Deportivo Eldense
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 %50 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.1.67 goals/game0.67 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.2.83 shots on target/game4 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.1.17 goals/game1.33 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)2.52 goals/game

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

Factor Burgos CF Club Deportivo Eldense
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.1.6 goals/game0.4 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.0.8 goals/game0.8 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 Burgos CF Club Deportivo Eldense
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 2.520 %20 %

Market Both Teams to Score

#72477428
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.95 / 51.4%
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)
1.86 / 53.8%
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)
-2.4 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
-4.4%

Odds Comparison

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Probability Models

ModelYesNo
Predora Market Median 48.6% / 2.06 51.4% / 1.95

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.50 %
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 goals67 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Burgos CF Club Deportivo Eldense
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.67 %33 %
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%.67 %50 %
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%.83 %67 %

Indicators associated with fewer BTTS outcomes

Factor Burgos CF Club Deportivo Eldense
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%.17 %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%.33 %50 %

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

Factor Burgos CF Club Deportivo Eldense
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%.80 %40 %
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%.60 %60 %

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%.20 %

Market Over 9.5 corners

#72477428
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.77 / 56.4%
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)
1.64 / 61.0%
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)
-4.6 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
-7.5%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 43.6% / 2.29 56.4% / 1.77

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.9.34 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.33 %

Season (baseline)

Game context (Home/Away)

Factor Burgos CF Home Club Deportivo Eldense 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.2.67 corners/game6.67 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.8.67 corners/game10.34 corners/game

Overall (Season) Temp

Factor Burgos CF Club Deportivo Eldense
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.3.67 corners/game6.83 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.10.34 corners/game10.83 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.8.64 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.3.67 cards/game

Season baseline (Season) Temp

Factor Burgos CF Club Deportivo Eldense
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.2.33 cards/game1.83 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.50 %50 %

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.5.21 cards/game