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Estadio de La Independencia · Villa Olímpica

Boyaca Chico FC crestBoyaca Chico FC
2–0Finished
CD Once Caldas crestCD Once Caldas

Boyaca Chico FC 2 x 0 CD Once Caldas: prediction analysis

The model predicted correctly 2 of 5 settled markets.

Correct predictions

  • Over 2.5 goals: prediction Under 2.5; result 2 goals.
  • Both Teams to Score: prediction No; result No.

Incorrect predictions

  • 1x2: prediction CD Once Caldas; result Boyaca Chico FC 2–0.
  • Double Chance: prediction Draw or CD Once Caldas; result Boyaca Chico FC 2–0.
  • Over 9.5 corners: prediction Under 9.5; result 12 corners.

Final assessment: For this game, more predictions differed from the observed results than matched them.

View the analysis published before kickoff

Before the game, the model Predora Market Median estimated a 23.4% probability of a win for Boyaca Chico FC, 26.6% for a draw, and 50.0% for a win for CD Once Caldas.

The consensus of 11 bookmakers makes Once Caldas the favorite, with the visitors priced between 1.89 and 1.95 (median 1.91), while the hosts are in the 3.70 to 4.00 range (median 3.83) and the draw is between 3.30 and 3.61 (median 3.40). The signals also point to the visitors, but less strongly: the relative comparison gives Once Caldas 58.4% against Boyacá's 41.6%, while the market separates the two sides at 66.7% for the visitors and 33.3% for the hosts. In other words, the market is more convinced of the favorite than the data suggest. The signals supporting the visitors are recent PPG, overall xG differential and the head-to-head record, while the home/away context and home xG differential favor the hosts. The draw accounts for about 27.3% of the 1X2 consensus and cannot be ruled out, especially given Boyacá's home strength. The divergence between the market and the signals is partial, suggesting that the favorite has a solid basis, but not without risks—the data indicate that the margin could be narrower than the prices suggest.

Market 1x2

#72335080
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
2.00 / 50.0%
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)
1.95 / 51.3%
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)
-1.3 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
-2.6%

Odds Comparison

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Probability Models

ModelBoyaca Chico FCDrawCD Once Caldas
Predora Market Median 23.4% / 4.28 26.7% / 3.75 50.0% / 2.00

Market Double Chance

#72335080
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.31 / 76.6%
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)
1.25 / 80.0%
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)
-3.4 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
-4.2%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 50.0% / 2.00 76.6% / 1.31 73.4% / 1.36

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 Boyaca Chico FC CD Once Caldas
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.0-1-44-1-0
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%.0 %80 %

Outcome Strength (Season)

Game context (Home/Away)

Factor Boyaca Chico FC Home CD Once Caldas 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).1.82 pts/game1.27 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%.54.5 %20 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.18.2 %66.7 %
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 = +0.5.0.91 goals/game0.07 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.0.14 xG/game0.14 xG/game

Season baseline (Overall) Temp

Factor Boyaca Chico FC CD Once Caldas
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.0.88 pts/game1.54 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.24 %35.7 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.16 %46.4 %
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/game0.36 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.-0.41 xG/game0.27 xG/game

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

Factor Boyaca Chico FC CD Once Caldas
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.1-2-21-2-2
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.1 pts/game1 pts/game

Market Over 2.5 goals

#72335080
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.83 / 54.7%
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)
1.73 / 57.8%
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)
-3.1 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
-5.4%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 45.3% / 2.21 54.7% / 1.83

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.2.68 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 goals47 %
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 goals53 %

Season (baseline)

Game context (Home/Away)

Factor Boyaca Chico FC Home CD Once Caldas 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.1.36 goals/game1.27 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.0.45 goals/game1.2 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.1.19 xG/game1.5 xG/game

Overall (Season) Temp

Factor Boyaca Chico FC CD Once Caldas
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 %44 %46 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.0.76 goals/game1.57 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.2.92 shots on target/game5.64 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.1.76 goals/game1.21 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 Boyaca Chico FC CD Once Caldas
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.0.8 goals/game0.8 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 goals/game1.2 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 Boyaca Chico FC CD Once Caldas
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 2.560 %60 %

Market Both Teams to Score

#72335080
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.96 / 51.0%
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)
1.85 / 54.1%
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)
-3.1 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
-5.7%

Odds Comparison

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Probability Models

ModelYesNo
Predora Market Median 49.0% / 2.04 51.0% / 1.96

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 goals47 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Boyaca Chico FC CD Once Caldas
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.20 %75 %
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%.40 %86 %
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%.76 %86 %

Indicators associated with fewer BTTS outcomes

Factor Boyaca Chico FC CD Once Caldas
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%.24 %14 %
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%.60 %14 %

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

Factor Boyaca Chico FC CD Once Caldas
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%.40 %60 %
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 %100 %

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

#72335080
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.83 / 54.6%
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)
1.69 / 59.0%
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)
-4.4 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
-7.5%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 45.4% / 2.20 54.6% / 1.83

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.8.86 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.37 %

Season (baseline)

Game context (Home/Away)

Factor Boyaca Chico FC Home CD Once Caldas 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.4.45 corners/game4.67 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.8.9 corners/game9.74 corners/game

Overall (Season) Temp

Factor Boyaca Chico FC CD Once Caldas
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.3.68 corners/game5.29 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.8.56 corners/game9.83 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.8.96 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.5.56 cards/game

Season baseline (Season) Temp

Factor Boyaca Chico FC CD Once Caldas
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.2.76 cards/game2.96 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.68 %79 %

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.5.87 cards/game