
Parma
Serie A
Last updated Jun 7, 2026
Last 16 matches
5W · 7D · 4L
Form (recent → older)
Model accuracy on Parma's matches
V1 model
31.3%
n = 16
V3 (Sharp Intelligence)
60.0%
n = 5
Recommended badge appears when one model leads by ≥5 percentage points over a minimum of 10 settled matches. How models work →
Goal patterns
Avg goals scored
0.81
Avg goals conceded
0.94
BTTS
44%
7/16
Over 2.5
19%
3/16
At home (avg scored)
1.00
Away (avg scored)
0.67
Head-to-head — top opponents
vs Sassuolo
·2 meetings
vs Napoli
·2 meetings
vs Lazio
·2 meetings
vs Fiorentina
·2 meetings
vs Como
·1 meetings
About Parma
Updated May 17, 2026
Parma has had a mixed record over the past year in Serie A, playing 14 matches with 4 wins, 7 draws, and 3 losses. The team has scored 12 goals while conceding 14, indicating a slight defensive vulnerability. Both teams have scored in half of their matches (7 out of 14), but only 3 of these matches have seen more than 2.5 goals, suggesting that Parma's games are often closely contested with limited scoring.
In terms of model performance, V1 has been the more frequently used model for Parma, covering all 14 matches with an accuracy rate of 28.6%. On the other hand, V3, or Sharp Intelligence, has been applied to a smaller sample of 3 matches but shows a slightly higher accuracy rate of 33.3%. Despite the limited sample size, V3's performance indicates a potential for better accuracy in future predictions. However, V1 remains the recommended model for Parma based on its broader application.
When examining head-to-head statistics, Parma has faced several strong opponents with varying degrees of success. Against Napoli, they have drawn twice in two encounters, showing resilience but no wins. Their record against Lazio includes a draw and a loss in two matches. Parma has a more favorable outcome against Fiorentina, with one win and one draw. Matches against AS Roma and Inter have been less successful, with a draw against Roma and a loss to Inter. The tendency for both teams to score is notable, as seen in many of their matches.
This analysis is based on statistical data and does not constitute a betting recommendation. For more details on model performance, visit /performance.
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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly