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Nice

Ligue 1

Last updated Jun 9, 2026

Last 16 matches

3W · 8D · 5L

Form (recent → older)

WDDLDDDDLW

Model accuracy on Nice's matches

V1 model

Recommended

50.0%

n = 16

V3 (Sharp Intelligence)

37.5%

n = 8

Recommended badge appears when one model leads by ≥5 percentage points over a minimum of 10 settled matches. How models work →

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Goal patterns

Avg goals scored

1.19

Avg goals conceded

1.50

BTTS

63%

10/16

Over 2.5

44%

7/16

At home (avg scored)

1.63

Away (avg scored)

0.75

Head-to-head — top opponents

vs Saint Etienne

·

2 meetings

1W 1D 0L
WD

vs Strasbourg

·

2 meetings

0W 1D 1L
LD

vs Metz

·

1 meetings

0W 1D 0L
D

vs Auxerre

·

1 meetings

0W 0D 1L
L

vs Lens

·

1 meetings

0W 1D 0L
D

About Nice

Updated May 19, 2026

Over the past year, Nice has struggled to find consistent success in Ligue 1, with a record of 2 wins, 7 draws, and 5 losses across 14 matches. They have scored 15 goals while conceding 23, indicating a vulnerability in defense. Both teams have scored in 9 out of these 14 matches, suggesting that their games often feature goals from both sides. Additionally, 6 of their matches have ended with over 2.5 goals, showing a moderate tendency towards higher-scoring games. Recent form highlights a challenging period with more draws and losses than wins, as seen in their sequence of results: DLDDDDLWLL.

In terms of model performance, the V1 model has been more reliable when predicting Nice's matches, with an accuracy of 50.0% over the 14-match sample. This contrasts sharply with the V3 model, which has shown only 16.7% accuracy over 6 matches. As such, V1 is the recommended model for analyzing Nice's games, providing a more consistent track record of predictions.

Examining Nice's head-to-head record against specific opponents reveals some challenges. Against Strasbourg, Nice has failed to secure a win with a record of 0 wins, 1 draw, and 1 loss. Their encounters with Metz and Lens have also ended without victories, both resulting in draws. Furthermore, Nice has experienced a loss to Auxerre and drawn with Marseille in their recent meetings. The data indicates that while Nice often manages to avoid defeat, converting draws into wins remains a significant hurdle.

Remember, this is a data analysis overview, not a betting recommendation. For a deeper dive into model performance, visit /performance.

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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly