División Profesional

Estadio Hernando Siles · Avenida Saavedra, Miraflores

Club Bolivar crestClub Bolivar
4–2Finished
GV Club Deportivo San Jose de Oruro crestGV Club Deportivo San Jose de Oruro

Club Bolivar 4 x 2 GV Club Deportivo San Jose de Oruro: prediction analysis

The model predicted correctly 4 of 5 settled markets.

Correct predictions

  • 1x2: prediction Club Bolivar; result Club Bolivar 4–2.
  • Double Chance: prediction Club Bolivar or draw; result Club Bolivar 4–2.
  • Over 2.5 goals: prediction Over 2.5; result 6 goals.
  • Over 9.5 corners: prediction Over 9.5; result 10 corners.

Incorrect predictions

  • Both Teams to Score: prediction No; result Yes.

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 87.3% probability of a win for Club Bolivar, 8.4% for a draw, and 4.3% for a win for GV Club Deportivo San Jose de Oruro.

Bookmakers have formed a clear consensus in favor of the home side: Club Bolivar is priced in an odds range of 1.04 to 1.11, with a median price of 1.08 across 10 valid bookmakers. The draw ranges from 8.25 to 12, while a San Jose win is priced between 12 and 20, reinforcing the view that this is a highly lopsided match.

The deterministic signals also point to the home side, but with less relative strength than the odds suggest. While the market assigns about 93.6% probability to Bolivar’s side (excluding the draw), the signals indicate a 71% to 29% split in strength in a direct comparison between the two teams.

In practice, the data and pricing are partially aligned: all the main factors—form, home/away performance, season and xG—favor the home side, but the market’s favoritism is more pronounced. This kind of difference often appears when the odds already reflect a high level of bookmaker confidence in Bolivar’s home performance.

Even so, the draw accounts for about 9.7% of the consensus and cannot be ruled out, especially considering that recent head-to-head meetings showed smaller margins between the two sides. The most likely scenario remains a home win, but the gap between the signals and the odds suggests caution about the exact size of this advantage.

Market 1x2

#73487174
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.15 / 87.3%
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)
1.09 / 91.7%
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
-4.8%

Odds Comparison

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Probability Models

ModelClub BolivarDrawGV Club Deportivo San Jose de Oruro
Predora Market Median 87.3% / 1.15 8.4% / 11.98 4.3% / 23.09

Market Double Chance

#73487174
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.05 / 95.7%
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)
1.03 / 97.6%
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)
-1.9 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
-1.9%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 95.7% / 1.05 12.7% / 7.89 91.7% / 1.09

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 Club Bolivar GV Club Deportivo San Jose de Oruro
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.3-0-22-0-3
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%.60 %40 %

Outcome Strength (Season)

Game context (Home/Away)

Factor Club Bolivar Home GV Club Deportivo San Jose de Oruro 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).2.44 pts/game0.44 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%.77.8 %0 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.11.1 %44.4 %
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 = +0.5.2.22 goals/game-1.11 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.1.49 xG/game-0.41 xG/game

Season baseline (Overall) Temp

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.2.21 pts/game0.74 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.68.4 %10.5 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.15.8 %42.1 %
Goal difference (overall) Average goal difference this season: (goals scored − goals conceded) / games. Example: 10−6 in 8 games → +0.5 per game.1.58 goals/game-0.74 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.0.85 xG/game-0.35 xG/game

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

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
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.4-1-01-0-4
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.2.6 pts/game0.6 pts/game

Market Over 2.5 goals

#73487174
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.22 / 82.2%
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)
1.14 / 87.6%
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)
-5.3 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
-6.1%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 82.2% / 1.22 17.8% / 5.63

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.3.33 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 goals73 %
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 goals28 %

Season (baseline)

Game context (Home/Away)

Factor Club Bolivar Home GV Club Deportivo San Jose de Oruro 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.3.22 goals/game0.67 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 goals/game1.78 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.2.52 xG/game1.33 xG/game

Overall (Season) Temp

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
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 %74 %63 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.2.63 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.7.58 shots on target/game3.79 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.1.05 goals/game1.74 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)3.1 goals/game

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

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
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.3.6 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 goals/game2.4 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 Club Bolivar GV Club Deportivo San Jose de Oruro
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

#73487174
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)
1.87 / 53.5%
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)
-2.5 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
-4.6%

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.67 %
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 goals73 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.68 %63 %
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%.89 %63 %
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%.74 %84 %

Indicators associated with fewer BTTS outcomes

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
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%.26 %16 %
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%.11 %37 %

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

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
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 %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%.80 %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%.60 %

Market Over 9.5 corners

#73487174
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)
1.83 / 54.6%
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)
-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
-8.4%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 50.0% / 2.00 50.0% / 2.00

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.9.88 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 Club Bolivar Home GV Club Deportivo San Jose de Oruro 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.6.44 corners/game3.44 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.8.77 corners/game9 corners/game

Overall (Season) Temp

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.5.68 corners/game4.16 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.8.89 corners/game9.05 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.9.56 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.4.89 cards/game

Season baseline (Season) Temp

Factor Club Bolivar GV Club Deportivo San Jose de Oruro
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.1.84 cards/game3.05 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.53 %57 %

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.5.65 cards/game