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Serie A · Regular Season - 31

Kick-off

Sat 4 Apr 2026

19:45

Venue

Stadio Olimpico

Competition

Serie A

Italy

Status

FT
📰

Lazio and Parma share the spoils in a 1-1 draw.

📝 Match Report

How It Unfolded

Lazio and Parma finished level at 1-1 at Stadio Olimpico, Regular Season - 31, 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 Lazio 1.27 xG and Parma 0.91 xG, a combined 2.19. The scoreboard read 1-1 for 2 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Lazio attack 1.01 / defence 1.00 against Parma attack 0.77 / defence 1.00, drawn from 68/68 games (CurrentSeason).

On the result, the model split it Lazio 45% | Draw 29% | Parma 27%, with Lazio to win its most likely call at 45%. The actual draw had been the model's second-ranked read at 29%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 37%. The game delivered 2, so it stayed under — in line with the projection. Over 1.5 had been 64% and landed. On both teams to score, the model sat at 43% and the match saw both sides score — a miss on BTTS. Historically the two sides average 46% Over 2.5 across their same-competition games (Lazio 46%, Parma 46%), a base rate that agreed with today's under. Their combined BTTS history runs at 50%, which matched the both-scored outcome.

Trading Patterns vs Reality

Lazio's trading profile (68 games, 34 home) set some clear expectations: BTTS lands in 46% of their matches — today it did; they keep a clean sheet 34% of the time, and conceded here.

Parma's trading profile (68 games, 34 away) set some clear expectations: BTTS lands in 54% of their matches — today it did.

Form vs Result

On form, Lazio arrived the stronger side — 1.59 PPG against 1.03. The form guide was only half-right: the stronger side did not lose, but could not convert the edge into a win.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), 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

Model Over/Under 2.5 landed as modelled — 37% Over 2.5 probability, 2 goals scored.
Model BTTS bucked the model — 43% projected, both teams scored.
Trading Trading data backed up — the sides average 46% Over 2.5 historically, and this game stayed under.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.