Eredivisie

Kooi Stadion · Stadionplein 15

SC Cambuur crestSC Cambuur
3–0Finished
NEC Nijmegen crestNEC Nijmegen

SC Cambuur 3 x 0 NEC Nijmegen: prediction analysis

The model predicted correctly 1 of 5 settled markets.

Correct predictions

  • Over 2.5 goals: prediction Over 2.5; result 3 goals.

Incorrect predictions

  • 1x2: prediction NEC Nijmegen; result SC Cambuur 3–0.
  • Double Chance: prediction SC Cambuur or NEC Nijmegen; result SC Cambuur 3–0.
  • Both Teams to Score: prediction Yes; result No.
  • Over 9.5 corners: prediction Over 9.5; result 9 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 20.6% probability of a win for SC Cambuur, 20.3% for a draw, and 59.1% for a win for NEC Nijmegen.

The 1X2 market clearly favors NEC Nijmegen. Bookmakers have the away win in an odds range of 1.50 to 1.56, with a median of 1.52, while the draw is priced between 4.50 and 5.00 and a Cambuur win between 4.33 and 5.40.

The deterministic signals point in the same direction: the away side has high relative strength across almost all the factors compared, such as home/away PPG, xG differential and head-to-head history. The data and market consensus are aligned, with NEC as the favorite.

Despite this convergence, the draw still accounts for about 19.5% of the 1X2 consensus, indicating that this is not a match without uncertainty. The comparison between the signals and the market suggests a similar outlook, but offers no guarantee of the result.

Market 1x2

#72041136
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.69 / 59.1%
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 / 61.7%
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)
-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
-4.3%

Odds Comparison

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Probability Models

ModelSC CambuurDrawNEC Nijmegen
Predora Market Median 20.6% / 4.86 20.3% / 4.92 59.1% / 1.69

Market Double Chance

#72041136
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.26 / 79.7%
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)
1.21 / 82.6%
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)
-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
-3.6%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 40.9% / 2.44 79.4% / 1.26 79.7% / 1.26

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 SC Cambuur NEC Nijmegen
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 SC Cambuur Home NEC Nijmegen 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/game3 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 %100 %
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.-1.75 goals/game0.67 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.-0.54 xG/game0.3 xG/game

Season baseline (Overall) Temp

Factor SC Cambuur NEC Nijmegen
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.0.2 pts/game1.4 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.0 %40 %
Draw % (overall) Draw percentage this season (home + away). Example: 2 draws in 8 games = 25%.20 %20 %
Goal difference (overall) Average goal difference this season: (goals scored − goals conceded) / games. Example: 10−6 in 8 games → +0.5 per game.-1.5 goals/game-0.17 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.-0.32 xG/game0.47 xG/game

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

Factor SC Cambuur NEC Nijmegen
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.0-1-41-1-3
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.0.2 pts/game0.8 pts/game

Market Over 2.5 goals

#72041136
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.50 / 66.6%
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)
1.43 / 69.9%
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)
-3.3 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
-4.8%

Odds Comparison

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Probability Models

ModelOverUnder
Predora Market Median 66.6% / 1.50 33.4% / 2.99

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.4.92 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 goals100 %
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 goals0 %

Season (baseline)

Game context (Home/Away)

Factor SC Cambuur Home NEC Nijmegen 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 goals/game3.5 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.4.33 goals/game1 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.0.97 xG/game1.73 xG/game

Overall (Season) Temp

Factor SC Cambuur NEC Nijmegen
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 %100 %100 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.1.2 goals/game2.2 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.3.8 shots on target/game4.6 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.3.6 goals/game1.8 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)3.92 goals/game

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

Factor SC Cambuur NEC Nijmegen
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.1.2 goals/game2.2 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.3.6 goals/game1.8 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 SC Cambuur NEC Nijmegen
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

#72041136
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.59 / 63.0%
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)
1.52 / 65.8%
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)
-2.8 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
-4.3%

Odds Comparison

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Probability Models

ModelYesNo
Predora Market Median 63.0% / 1.59 37.0% / 2.70

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.84 %
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 goals100 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor SC Cambuur NEC Nijmegen
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.80 %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%.80 %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 SC Cambuur NEC Nijmegen
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%.20 %0 %

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

Factor SC Cambuur NEC Nijmegen
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 %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 %

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

#72041136
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)
1.73 / 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)
-6.8 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
-11.8%

Odds Comparison

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Probability Models

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

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.7.83 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.59 %

Season (baseline)

Game context (Home/Away)

Factor SC Cambuur Home NEC Nijmegen 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.3.33 corners/game4.5 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/game8 corners/game

Overall (Season) Temp

Factor SC Cambuur NEC Nijmegen
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.3.8 corners/game5 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.9.8 corners/game8 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.10.43 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.1.83 cards/game

Season baseline (Season) Temp

Factor SC Cambuur NEC Nijmegen
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.1.4 cards/game1.4 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.20 %0 %

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.2.92 cards/game