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Prediction vindicated as Twente edge out Groningen 2-1.

📝 Match Report

How It Unfolded

Twente beat Groningen 2-1 at De Grolsch Veste, Regular Season - 24, in the Eredivisie. 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 Twente 1.47 xG and Groningen 0.85 xG, a combined 2.33. 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 Twente attack 1.01 / defence 0.72 against Groningen attack 0.85 / defence 0.90, drawn from 57/57 games (CurrentSeason).

On the result, the model split it Twente 52% | Draw 26% | Groningen 22%, with Twente to win its most likely call at 52%. That is exactly how it finished — the model's leading outcome was vindicated.

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 68% and landed. On both teams to score, the model sat at 44% and the match saw both sides score — a miss on BTTS. Historically the two sides average 49% Over 2.5 across their same-competition games (Twente 49%, Groningen 49%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 56%, which matched the both-scored outcome.

Trading Patterns vs Reality

Twente's trading profile (57 games, 28 home) set some clear expectations: BTTS lands in 61% of their matches — today it did.

Groningen's trading profile (57 games, 28 away) set some clear expectations: BTTS lands in 51% of their matches — today it did.

Form vs Result

The form lines were close — Twente 1.54 PPG, Groningen 1.23 PPG — offering no strong steer, and the Twente win broke the near-deadlock.

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