Champions League

Stade Bollaert-Delelis · 83, rue Maurice-Carton

Racing Club De Lens crestRacing Club De Lens
1–9Finished
Como 1907 crestComo 1907

Racing Club De Lens 1 x 9 Como 1907: prediction analysis

The model predicted correctly 4 of 5 settled markets.

Correct predictions

  • 1x2: prediction Como 1907; result Como 1907 1–9.
  • Double Chance: prediction Racing Club De Lens or Como 1907; result Como 1907 1–9.
  • Over 2.5 goals: prediction Over 2.5; result 10 goals.
  • Both Teams to Score: prediction Yes; result Yes.

Incorrect predictions

  • Over 9.5 corners: prediction Under 9.5; result 10 corners.

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

English AI analysis is currently unavailable for this game.

Market 1x2

#74166008
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
2.05 / 48.8%
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)
1.91 / 52.4%
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)
-3.6 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
-6.8%

Odds Comparison

Bookmakers

Available with Predora Pro

Create free account Already have an account? Sign in

Probability Models

ModelRacing Club De LensDrawComo 1907
Predora Market Median 25.9% / 3.86 25.3% / 3.95 48.8% / 2.05

Market Double Chance

#74166008
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.34 / 74.7%
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)
1.53 / 65.2%
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)
+9.4 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
+14.5%

Odds Comparison

Bookmakers

Available with Predora Pro

Create free account Already have an account? Sign in

Probability Models

Model1XX212
Predora Market Median 51.2% / 1.95 74.1% / 1.35 74.7% / 1.34

AI Analysis

Market and data partially aligned

Available with a free account

Create free account Already have an account? Sign in

Team Comparison

Outcome Strength (Season)

Game context (Home/Away)

Factor Racing Club De Lens Home Como 1907 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).0 pts/game0 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%.0 %0 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.0 %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.-5 goals/game3.5 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.-0.09 xG/game0.44 xG/game

Season baseline (Overall) Temp

Factor Racing Club De Lens Como 1907
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.1 pts/game2 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.33.3 %66.7 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.0 %0 %
Goal difference (overall) Average goal difference this season: (goals scored − goals conceded) / games. Example: 10−6 in 8 games → +0.5 per game.-3 goals/game3.25 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.0.36 xG/game0.26 xG/game

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

Factor Racing Club De Lens Como 1907
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.2-0-35-0-0
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.1.2 pts/game3 pts/game

Market Over 2.5 goals

#74166008
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.65 / 60.6%
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)
1.62 / 61.9%
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)
-1.4 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
-2.2%

Odds Comparison

Bookmakers

Available with Predora Pro

Create free account Already have an account? Sign in

Probability Models

ModelOverUnder
Predora Market Median 60.6% / 1.65 39.4% / 2.54

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.4.17 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 goals84 %
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 goals17 %

Season (baseline)

Game context (Home/Away)

Factor Racing Club De Lens Home Como 1907 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.0 goals/game2 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.2 goals/game3 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/game1.28 xG/game

Overall (Season) Temp

Factor Racing Club De Lens Como 1907
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 %100 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.1 goals/game3.33 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 shots on target/game6.33 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.2.33 goals/game1.67 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)3.43 goals/game

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

Factor Racing Club De Lens Como 1907
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 goals/game3.33 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.2.33 goals/game1.67 goals/game

Market Both Teams to Score

#74166008
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.60 / 62.5%
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)
1.53 / 65.2%
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)
-2.7 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
-4.2%

Odds Comparison

Bookmakers

Available with Predora Pro

Create free account Already have an account? Sign in

Probability Models

ModelYesNo
Predora Market Median 62.5% / 1.60 37.5% / 2.67

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 goals84 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Racing Club De Lens Como 1907
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.33 %100 %
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%.33 %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%.100 %100 %

Indicators associated with fewer BTTS outcomes

Factor Racing Club De Lens Como 1907
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%.0 %0 %
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%.67 %0 %

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

Factor Racing Club De Lens Como 1907
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%.33.3 %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%.100 %100 %

Market Over 9.5 corners

#74166008
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.90 / 52.7%
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)
1.80 / 55.6%
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)
-2.9 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
-5.2%

Odds Comparison

Bookmakers

Available with Predora Pro

Create free account Already have an account? Sign in

Probability Models

ModelOverUnder
Predora Market Median 47.3% / 2.11 52.7% / 1.90

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.7.67 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.17 %

Season (baseline)

Game context (Home/Away)

Factor Racing Club De Lens Home Como 1907 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/game1 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.9 corners/game5 corners/game

Overall (Season) Temp

Factor Racing Club De Lens Como 1907
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.6.67 corners/game1 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.10 corners/game5.33 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.9.61 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 Racing Club De Lens Como 1907
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.1.67 cards/game2 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.0 %67 %

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.4.17 cards/game