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Shock result as Bromley defy the odds to beat Cheltenham 1-2.

📝 Match Report

How It Unfolded

Bromley beat Cheltenham 1-2 at Whaddon Road, Regular Season - 4, in the League Two. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Cheltenham 1.18 xG and Bromley 1.15 xG, a combined 2.33. The scoreboard read 1-2 for 3 actual goals. Bromley outscored their 1.15 projection by 0.9. Those figures were built on strength ratings of Cheltenham attack 0.91 / defence 1.15 against Bromley attack 0.91 / defence 0.99, drawn from 49/49 games (CurrentSeason).

On the result, the model split it Cheltenham 35% | Draw 31% | Bromley 34%, with Cheltenham to win its most likely call at 35%. The actual Bromley win had been the model's second-ranked read at 34%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 69% and landed. On both teams to score, the model sat at 49% and the match saw both sides score — a miss on BTTS. Historically the two sides average 48% Over 2.5 across their same-competition games (Cheltenham 51%, Bromley 45%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 53%, which matched the both-scored outcome.

Trading Patterns vs Reality

Cheltenham's trading profile (49 games, 24 home) set some clear expectations: BTTS lands in 55% of their matches — today it did.

Bromley's trading profile (49 games, 24 away) set some clear expectations: BTTS lands in 51% of their matches — today it did; they keep a clean sheet 37% of the time, and conceded here.

Form vs Result

The form lines were close — Cheltenham 1.22 PPG, Bromley 1.45 PPG — offering no strong steer, and the Bromley win broke the near-deadlock.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), Over 2.5 (miss), BTTS (miss). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights