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Prediction vindicated as Udinese edge out Parma 1-0.

📝 Match Report

How It Unfolded

Udinese beat Parma 1-0 at Bluenergy Stadium, Regular Season - 27, in the Serie A. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Udinese 1.90 xG and Parma 1.07 xG, a combined 2.97. The scoreboard read 1-0 for 1 actual goal. Udinese fell 0.9 short of their projected output. Parma landed 1.1 under their projected return. Those figures were built on strength ratings of Udinese attack 1.09 / defence 1.06 against Parma attack 0.84 / defence 1.32, drawn from 64/26 games (CurrentSeason).

On the result, the model split it Udinese 55% | Draw 25% | Parma 20%, with Udinese to win its most likely call at 55%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 57%. The game delivered 1, so it stayed under — against the model's lean. Over 1.5 had been 81% and missed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 49% Over 2.5 across their same-competition games (Udinese 44%, Parma 55%), a base rate that agreed with today's under. Their combined BTTS history runs at 62%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Udinese's trading profile (64 games, 31 home) set some clear expectations: BTTS lands in 58% of their matches — today it did not.

Parma's trading profile (64 games, 31 away) set some clear expectations: BTTS lands in 66% of their matches — today it did not.

Form vs Result

On form, Parma arrived the stronger side — 1.55 PPG against 1.14. Form was overturned, with Udinese winning despite arriving in poorer recent shape. Udinese (home/away splits) conceded 0 against a 1.39 average — tighter than their form line. Parma (home/away splits) managed 0 against a 1.42 scoring average — below par going forward.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights