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Dominant Grimsby run riot with a 1-4 hammering of Gillingham.

📝 Match Report

How It Unfolded

Grimsby beat Gillingham 1-4 at Priestfield Stadium, Regular Season - 44, in the League Two. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Gillingham 1.03 xG and Grimsby 1.56 xG, a combined 2.59. The scoreboard read 1-4 for 5 actual goals. Grimsby outscored their 1.56 projection by 2.4. Those figures were built on strength ratings of Gillingham attack 0.94 / defence 1.38 against Grimsby attack 0.95 / defence 0.88, drawn from 89/88 games (CurrentSeason).

On the result, the model split it Gillingham 25% | Draw 25% | Grimsby 50%, with Grimsby to win its most likely call at 50%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 48%. The game delivered 5, so it went over — a miss for the goals model. Over 1.5 had been 73% and landed. Over 3.5 was 26% and came in. On both teams to score, the model sat at 51% and the match saw both sides score — another call in the model's favour. Historically the two sides average 44% Over 2.5 across their same-competition games (Gillingham 35%, Grimsby 52%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 50%, which matched the both-scored outcome.

Trading Patterns vs Reality

Gillingham's trading profile (88 games, 43 home) set some clear expectations: BTTS lands in 48% of their matches — today it did; they keep a clean sheet 31% of the time, and conceded here.

Grimsby's trading profile (88 games, 43 away) set some clear expectations: BTTS lands in 52% of their matches — today it did.

Form vs Result

The form lines were close — Gillingham 1.19 PPG, Grimsby 1.55 PPG — offering no strong steer, and the Grimsby win broke the near-deadlock. Gillingham (home/away splits) shipped 4 against a 1.19 concession average — a leakier day than usual. Grimsby (home/away splits) scored 4 against a 1.33 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights