
Inter
Serie A
Last updated Jun 6, 2026
Last 17 matches
9W · 4D · 4L
Form (recent → older)
Model accuracy on Inter's matches
V1 model
47.1%
n = 17
V3 (Sharp Intelligence)
40.0%
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
2.24
Avg goals conceded
1.47
BTTS
65%
11/17
Over 2.5
59%
10/17
At home (avg scored)
2.30
Away (avg scored)
2.14
Head-to-head — top opponents
vs Bodo/Glimt
·2 meetings
vs Lecce
·2 meetings
vs Bologna
·1 meetings
vs Hellas Verona
·1 meetings
vs Lazio
·1 meetings
About Inter
Updated May 16, 2026
Inter has demonstrated a solid performance over the past year with a record of 9 wins, 2 draws, and 4 losses across 15 matches. The team has shown a potent attacking capability, scoring 34 goals while conceding 21. This results in an average of 2.27 goals scored per match and 1.4 goals conceded. Both Teams to Score (BTTS) occurred in 9 of these 15 matches, indicating a trend where Inter is both scoring and allowing goals. Additionally, there have been over 2.5 goals in 9 of these matches, highlighting a tendency for high-scoring games.
In terms of model performance, the V1 model has been the more frequently used predictor for Inter's matches, achieving an accuracy of 53.3% over 15 matches. The V3 model, also known as Sharp Intelligence, has been tested in a smaller sample size of 3 matches, showing a higher accuracy of 66.7%. Despite the promising results from V3, V1 remains the recommended model for Inter, possibly due to its broader application over a larger number of games.
Inter's head-to-head records with certain teams reveal some intriguing patterns. Notably, they have struggled against Bodo/Glimt, losing both encounters. Conversely, they have a perfect record against Lecce, winning both matches. Their encounter with Lazio resulted in a victory, while they managed a draw against Torino. Against Parma, Inter has secured one win. These results suggest potential vulnerabilities and strengths in specific matchups, which could influence future outcomes, particularly in matches where they have historically struggled.
This analysis is based on statistical data and trends, not a betting recommendation. For further details, visit /performance.
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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly