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Como cruise to a comfortable 2-0 victory over AS Roma.

📝 Match Report

How It Unfolded

Como beat AS Roma 2-0 at Stadio Giuseppe Sinigaglia, Regular Season - 16, in the Serie A. 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 Como 1.37 xG and AS Roma 1.47 xG, a combined 2.84. The scoreboard read 2-0 for 2 actual goals. AS Roma landed 1.5 under their projected return. Those figures were built on strength ratings of Como attack 0.84 / defence 1.39 against AS Roma attack 0.80 / defence 1.21, drawn from 15/53 games (CurrentSeason).

On the result, the model split it Como 35% | Draw 25% | AS Roma 40%, with AS Roma to win its most likely call at 40%. The actual Como win had been the model's second-ranked read at 35%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 54%. The game delivered 2, so it stayed under — the opposite of the projected direction. Over 1.5 had been 78% and landed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 55% Over 2.5 across their same-competition games (Como 53%, AS Roma 57%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 59%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Como's trading profile (53 games, 25 home) set some clear expectations: BTTS lands in 58% of their matches — today it did not.

AS Roma's trading profile (53 games, 25 away) set some clear expectations: BTTS lands in 60% of their matches — today it did not.

Form vs Result

The form lines were close — Como 1.60 PPG, AS Roma 1.49 PPG — offering no strong steer, and the Como win broke the near-deadlock. Como (home/away splits) conceded 0 against a 1.28 average — tighter than their form line. AS Roma (home/away splits) managed 0 against a 1.24 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 0 of 3 pre-match signals came in: result (miss), 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