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Prediction vindicated as Willem II edge out Jong Utrecht 2-1.

📝 Match Report

How It Unfolded

Willem II beat Jong Utrecht 2-1 at Koning Willem II Stadion, Regular Season - 4, in the Eerste Divisie. 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 Willem II 1.37 xG and Jong Utrecht 1.04 xG, a combined 2.41. The scoreboard read 2-1 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Willem II attack 0.69 / defence 1.08 against Jong Utrecht attack 0.76 / defence 1.18, drawn from 3/41 games (Blended).

On the result, the model split it Willem II 44% | Draw 27% | Jong Utrecht 28%, with Willem II to win its most likely call at 44%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 43%. 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 48% and the match saw both sides score — a miss on BTTS. Historically the two sides average 52% Over 2.5 across their same-competition games (Willem II 49%, Jong Utrecht 56%), a base rate that agreed with today's over. Their combined BTTS history runs at 57%, which matched the both-scored outcome.

Trading Patterns vs Reality

Willem II's trading profile (41 games, 20 home) set some clear expectations: BTTS lands in 58% of their matches — today it did.

Jong Utrecht's trading profile (41 games, 20 away) set some clear expectations: BTTS lands in 56% of their matches — today it did.

Form vs Result

The form lines were close — Willem II 0.80 PPG, Jong Utrecht 0.66 PPG — offering no strong steer, and the Willem II win broke the near-deadlock. Willem II (home/away splits) scored 2 against a 1.20 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), 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