FA Cup
Barton Town crestBarton Town
3–1Finished
Boldmere St Michaels FC crestBoldmere St Michaels FC

Barton Town 3 x 1 Boldmere St Michaels FC: prediction analysis

The model predicted correctly 3 of 5 settled markets.

Correct predictions

  • Double Chance: prediction Barton Town or Boldmere St Michaels FC; result Barton Town 3–1.
  • Over 2.5 goals: prediction Over 2.5; result 4 goals.
  • Both Teams to Score: prediction Yes; result Yes.

Incorrect predictions

  • 1x2: prediction Boldmere St Michaels FC; result Barton Town 3–1.
  • Over 9.5 corners: prediction Over 9.5; result 9 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 34.5% probability of a win for Barton Town, 26.5% for a draw, and 39.0% for a win for Boldmere St Michaels FC.

Bookmakers have reached a close consensus on this game. The visitors are favorites on price, with central odds of around 2.35 (between 2.30 and 2.40 at nine bookmakers), while a home win is priced in a similar range, with a median of 2.50 and a spread from 2.47 to 2.60. The draw offers the highest return, with reference odds around 3.50. In other words, the market has a slight bias toward the visitors, but the gap between the two sides is small.

When we look at the deterministic signals, the picture shifts in the opposite direction: the data point to the home side, with relative strength of 55.5% against 44.5% for the visitors. This indicator reflects the home side’s better current form, especially in recent points per game and home/away performance. The market, in turn, shows a subtle split, with the visitors narrowly ahead in a 48.3%-to-51.7% division once the draw is removed from the calculation—after taking out the 25.9% consensus for a draw.

The clash between the market and the signals reflects a partial divergence: while the data give the home side a clear advantage, the price puts the visitors slightly ahead. It is worth remembering that the signal percentages are comparative, not win probabilities, and that the draw accounts for a significant share of the consensus. There is natural uncertainty in this reading, since the price difference between the two teams is small and the samples are limited. Recent factors and market opinion are not fully aligned, and any change to the lineup or match conditions could tighten this picture further.

Market 1x2

#74507498
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
2.57 / 38.9%
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)
2.40 / 41.7%
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)
-2.7 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
-6.5%

Odds Comparison

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Probability Models

ModelBarton TownDrawBoldmere St Michaels FC
Predora Market Median 34.5% / 2.90 26.5% / 3.77 38.9% / 2.57

Market Double Chance

#74507498
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.36 / 73.5%
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)
1.57 / 63.7%
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)
+9.8 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
+15.4%

Odds Comparison

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Probability Models

Model1XX212
Predora Market Median 61.1% / 1.64 65.5% / 1.53 73.5% / 1.36

AI Analysis

Market and data diverge

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Team Comparison

Outcome Strength (Season)

Game context (Home/Away)

Factor Barton Town Home Boldmere St Michaels FC 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).3 pts/game1.33 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%.100 %33.3 %
Draw % (home/away) Draw percentage in the home/away context. Example: 1 draw in 4 games = 25%.0 %33.3 %
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 goals/game0.33 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/game-0.58 xG/game

Season baseline (Overall) Temp

Factor Barton Town Boldmere St Michaels FC
PPG (overall) Average points per game this season (home + away). Example: 12 points in 8 games = 1.5 points/game.2.6 pts/game2 pts/game
Win % (overall) Win percentage this season (home + away). Example: 4 wins in 8 games = 50%.80 %60 %
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.2 goals/game0.6 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.0.14 xG/game-0.14 xG/game

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

Factor Barton Town Boldmere St Michaels FC
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.4-1-02-1-2
PPG (last 5) Average points from the last 5 games. Example: 7 points in 5 games = 1.4 points/game.2.6 pts/game1.4 pts/game

Market Over 2.5 goals

#74507498
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.78 / 56.3%
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)
1.68 / 59.5%
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)
-3.2 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 56.3% / 1.78 43.7% / 2.29

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.2.88 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 goals38 %
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 goals63 %

Season (baseline)

Game context (Home/Away)

Factor Barton Town Home Boldmere St Michaels FC 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.2.5 goals/game1.67 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.0.5 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.1.14 xG/game0.56 xG/game

Overall (Season) Temp

Factor Barton Town Boldmere St Michaels FC
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 %40 %60 %
Goals scored (overall) Average goals scored per game this season (home + away). Example: 20 goals in 13 games = 1.54 goals/game.2.8 goals/game1.6 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 shots on target/game1 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.0.8 goals/game1 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)3.3 goals/game

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

Factor Barton Town Boldmere St Michaels FC
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.2.8 goals/game1.6 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/game1 goals/game

Market Both Teams to Score

#74507498
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.67 / 59.9%
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)
1.55 / 64.5%
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)
-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
-7.2%

Odds Comparison

Bookmakers

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Probability Models

ModelYesNo
Predora Market Median 59.9% / 1.67 40.1% / 2.49

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.38 %
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 goals38 %

Season baseline (Season)

Indicators associated with more BTTS outcomes

Factor Barton Town Boldmere St Michaels FC
BTTS (season) % Percentage of season games in which both teams scored. Example: 7 of 12 games = 58%.40 %60 %
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%.40 %60 %

Indicators associated with fewer BTTS outcomes

Factor Barton Town Boldmere St Michaels FC
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%.60 %40 %
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 Barton Town Boldmere St Michaels FC
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%.40 %60 %

Market Over 9.5 corners

#74507498
Odds (Active Model) Fair odds according to the active model The odds calculated from the active model's estimated probability.
Formula: 1 ÷ Estimated probability
1.87 / 53.4%
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)
1.71 / 58.5%
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)
-5.1 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
-8.7%

Odds Comparison

Bookmakers

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Probability Models

ModelOverUnder
Predora Market Median 53.4% / 1.87 46.6% / 2.15

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 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.50 %

Season (baseline)

Game context (Home/Away)

Factor Barton Town Home Boldmere St Michaels FC 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 corners/game6 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/game9 corners/game

Overall (Season) Temp

Factor Barton Town Boldmere St Michaels FC
Corners for (overall) Average corners won per game this season (home + away). Example: 40 in 10 games = 4.0 per game.3 corners/game6.5 corners/game
Total corners (overall) Average total corners per game this season (home + away). Example: 105 in 10 games = 10.5 per game.9 corners/game10 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.9.24 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.-1.75 cards/game

Season baseline (Season) Temp

Factor Barton Town Boldmere St Michaels FC
Total cards (average) Average cards per game this season (home + away). Example: 18 cards in 6 games = 3.0 cards/game.0 cards/game0 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 %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.0 cards/game