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Serie ASerie A · 19/10/2026 · 19:45
ParmaParma
vs
TorinoTorino

Tip Parma vs Torino

Parma and Torino face each other in Serie A (Italy), scheduled for 19/10/2026 at 19:45. 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 Parma and Torino, the teams have faced each other 18 time(s), with Parma winning 7 match(es), Torino winning 4 and 7 draw(s), for an average of 2.4 goal(s) per game. At least three goals were scored in 9 of those games, which points towards a clear trend for open matches in terms of goals. Both teams scored in 10 of the 18 games analysed, reinforcing the idea of a match‑up where both attacks usually create danger. In the latest meeting, the score was Parma 0-0 Torino, played on 02/05/2027 in the Serie A, an extra data point to consider when framing the context of this new clash.

TABLE – Head-to-head

Last matches: Parma
No recent match data available for the home team.
Last matches: Torino
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
2.49
UNDER 2.5
1.63

Both teams to score

YES
1.98
NO
1.87

Conclusion – Parma vs Torino

Given recent form, key absences and the usually balanced head‑to‑head record between Parma and Torino, 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.