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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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Prediction vindicated as Como edge out Parma 0-1.

📝 Match Report

How It Unfolded

Como beat Parma 0-1 at Stadio Ennio Tardini, Regular Season - 35, in the Serie A. 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 Parma 1.36 xG and Como 1.53 xG, a combined 2.89. The scoreboard read 0-1 for 1 actual goal. Parma fell 1.4 short of their projected output. Those figures were built on strength ratings of Parma attack 1.05 / defence 1.21 against Como attack 1.13 / defence 1.08, drawn from 34/34 games (CurrentSeason).

On the result, the model split it Parma 33% | Draw 27% | Como 40%, with Como to win its most likely call at 40%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 55%. The game delivered 1, so it stayed under — a miss for the goals model. Over 1.5 had been 79% and missed. On both teams to score, the model sat at 59% and the match did not — a miss on BTTS. Historically the two sides average 52% Over 2.5 across their same-competition games (Parma 53%, Como 51%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 61%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Parma's trading profile (72 games, 36 home) set some clear expectations: BTTS lands in 64% of their matches — today it did not.

Como's trading profile (72 games, 36 away) set some clear expectations: BTTS lands in 58% of their matches — today it did not.

Form vs Result

The form lines were close — Parma 1.50 PPG, Como 1.60 PPG — offering no strong steer, and the Como win broke the near-deadlock. Parma (home/away splits) managed 0 against a 1.64 scoring average — below par going forward. Como (home/away splits) conceded 0 against a 1.28 average — tighter than their form line.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). A poor return for the projections: the match defied the majority of what the numbers expected.

💡 Key Insights