· Ligue 1
布雷斯特
ATT
6/10
DEF
5/10
1:2
尼斯
3/10
ATT
4/10
DEF
全场
最佳推荐
主队胜
58%
精确比分100′
顶级
1-0
11%
9.50
顶级
1-1
10.7%
7.00
2-0
10.2%
11.00
2-1
9.9%
9.50
3-0
6.3%
21.00
3-1
6.1%
15.00
0-0
5.9%
13.00
0-1
5.7%
12.00
158%
1.72TOP
X22%
4.45
219%
5.15
1X80%
X241%
1277%
xG — Expected Goals
布雷斯特
布雷斯特 exp
尼斯
尼斯 exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
布雷斯特
尼斯
Confirmed XI4-5-1
1
Selvik
70
Lala
29
Tousart
4
Lloris
2
Locko
13
Chotard
8
Magnetti
17
Baldé
23
Doumbia
9
Mboup
19
Ajorque
Impact Player Hot Head
布雷斯特30 球员
58.5/ 99强
最佳
1Noah EdjoumaFWD93
2Ibrahim Yayiya KantéFWD87
3Luck ZogbéDEF80
尼斯39 球员
47.8/ 99中等
最佳
1Alidu Seidu DEF64
2Kojo Peprah OppongDEF63
3Everton PereiraMID62
球员排名
狙击手
最大进球威胁
1
Noah Edjouma布雷斯特
99
2
Ibrahim Yayiya Kanté布雷斯特
92
3
Djylian N'Guessan布雷斯特
76
4
Isak Jansson尼斯
75
5
Rémy Labeau Lascary布雷斯特
72
城墙
最佳后卫
1
R. Le Guen布雷斯特
86
2
Juma Bah尼斯
86
3
Brendan Chardonnet 布雷斯特
80
4
Youssouf Ndayishimiye 尼斯
69
5
Gautier Lloris布雷斯特
68
控制
最佳组织者
1
Hamidou Makalou布雷斯特
87
2
Laurent Abergel 尼斯
63
3
Charles Vanhoutte尼斯
62
4
Joris Chotard布雷斯特
60
5
Hugo Magnetti布雷斯特
59
坏小子
最可能吃牌
1
Junior Diaz布雷斯特
1
2
Kamory Doumbia布雷斯特
1
3
Laurent Abergel 尼斯
1
4
Elye Wahi尼斯
1
5
Isak Jansson尼斯
1
力量排名
综合最强
1
Noah Edjouma布雷斯特
93
2
Ibrahim Yayiya Kanté布雷斯特
87
3
Luck Zogbé布雷斯特
80
4
Rémy Labeau Lascary布雷斯特
79
5
R. Le Guen布雷斯特
78

常见问题

Our Poisson model calculates the probability of every possible scoreline for 布雷斯特 vs 尼斯 based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the 布雷斯特 vs 尼斯 match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If 布雷斯特 has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for 布雷斯特 vs 尼斯 without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives 布雷斯特 a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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