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Serie ASerie A · 31/10/2026 · 17:00
UdineseUdinese
vs
AS RomaAS Roma

Tip Udinese vs AS Roma

Udinese and AS Roma face each other in Serie A (Italy), scheduled for 31/10/2026 at 17:00. On this page we bring together recent form, head‑to‑head record, league standings and key absences, finishing with our EV+ statistical model’s pick for the 1X2 and goals markets.

No standings available for this league/season.

Head-to-head (H2H)

In the most recent head‑to‑head meetings between Udinese and AS Roma, the teams have faced each other 34 time(s), with Udinese winning 18 match(es), AS Roma winning 12 and 4 draw(s), for an average of 2.5 goal(s) per game. At least three goals were scored in 17 of those games, which points towards a clear trend for open matches in terms of goals. In fewer than half of the games both teams scored, hinting at a slightly more favourable record for the defences. In the latest meeting, the score was Udinese 0-0 AS Roma, played on 24/01/2027 in the Serie A, an extra data point to consider when framing the context of this new clash.

TABLE – Head-to-head

Last matches: Udinese
No recent match data available for the home team.
Last matches: AS Roma
No recent match data available for the away team.
Head-to-head matches
No head-to-head matches found.

Main match odds

Full time 1X2

Total goals 2.5

OVER 2.5
1.62
UNDER 2.5
2.50

Both teams to score

YES
1.62
NO
2.25

Conclusion – Udinese vs AS Roma

Given recent form, key absences and the usually balanced head‑to‑head record between Udinese and AS Roma, our EV+ statistical model finds positive expected value in the 1X2 market, highlighting the scenario above as the main betting angle. As an alternative or complement, the goals market suggested by the model offers an extra option for more conservative profiles or for diversifying exposure to this match.

EV reading guideline: values up to around 8 points are not particularly strong; above that level we are already talking about meaningful positive expected value. When EV moves beyond 15 points, it is recommended to further investigate contextual factors that might be inflating the model, such as teams already relegated or with nothing to play for, internal crises, heavy injury lists in key positions, recent coaching changes, schedule congestion, extreme weather or clear differences in competitive motivation.