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Prediction vindicated as Charlton edge out Barnsley 1-0.

📝 Match Report

How It Unfolded

Charlton beat Barnsley 1-0 at The Valley, Regular Season - 35, in the League One. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Charlton 1.33 xG and Barnsley 0.89 xG, a combined 2.22. The scoreboard read 1-0 for 1 actual goal. Barnsley landed 0.9 under their projected return. Those figures were built on strength ratings of Charlton attack 1.05 / defence 0.69 against Barnsley attack 1.09 / defence 0.98, drawn from 79/80 games (CurrentSeason).

On the result, the model split it Charlton 47% | Draw 29% | Barnsley 24%, with Charlton to win its most likely call at 47%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 38%. The game delivered 1, so it stayed under — in line with the projection. Over 1.5 had been 65% and missed. On both teams to score, the model sat at 44% and the match did not — another call in the model's favour. Historically the two sides average 59% Over 2.5 across their same-competition games (Charlton 49%, Barnsley 68%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 66%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Charlton's trading profile (79 games, 40 home) set some clear expectations: BTTS lands in 62% of their matches — today it did not.

Barnsley's trading profile (79 games, 40 away) set some clear expectations: BTTS lands in 70% of their matches — today it did not.

Form vs Result

The form lines were close — Charlton 1.38 PPG, Barnsley 1.61 PPG — offering no strong steer, and the Charlton win broke the near-deadlock. Charlton (home/away splits) conceded 0 against a 1.05 average — tighter than their form line. Barnsley (home/away splits) managed 0 against a 1.78 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 3 of 3 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights