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Prediction vindicated as Middlesbrough edge out Ipswich 2-1.

📝 Match Report

How It Unfolded

Middlesbrough beat Ipswich 2-1 at Riverside Stadium, Regular Season - 10, in the Championship. 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 Middlesbrough 1.18 xG and Ipswich 0.68 xG, a combined 1.86. The scoreboard read 2-1 for 3 actual goals. Middlesbrough beat their projection by 0.8 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Middlesbrough attack 0.94 / defence 0.75 against Ipswich attack 0.76 / defence 1.04, drawn from 55/8 games (CurrentSeason).

On the result, the model split it Middlesbrough 47% | Draw 32% | Ipswich 20%, with Middlesbrough to win its most likely call at 47%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 28%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 56% and landed. On both teams to score, the model sat at 35% and the match saw both sides score — a miss on BTTS. Historically the two sides average 53% Over 2.5 across their same-competition games (Middlesbrough 50%, Ipswich 56%), a base rate that agreed with today's over. Their combined BTTS history runs at 58%, which matched the both-scored outcome.

Trading Patterns vs Reality

Middlesbrough's trading profile (46 games, 22 home) set some clear expectations: BTTS lands in 52% of their matches — today it did.

Ipswich's trading profile (46 games, 22 away) set some clear expectations: BTTS lands in 63% of their matches — today it did.

Form vs Result

On form, Middlesbrough arrived the stronger side — 1.48 PPG against 0.76. That form edge translated into the three points.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights