· Ligue 1
Lorient
ATT
5/10
DEF
6/10
vs
Stade Brestois 29
4/10
ATT
4/10
DEF
Naplánováno· Mon 2 Nov · 19:45
Nejlepší tip
Domácí výhra
56%
Přesný výsledek
Výborná
1-0
11.4%
8.50
Výborná
1-1
11.2%
6.00
2-0
10%
12.00
2-1
9.8%
10.00
0-0
6.5%
9.50
0-1
6.4%
9.00
3-0
5.8%
23.00
3-1
5.7%
21.00
156%
2.45TOP
X23%
3.10
221%
2.80
1X79%
X244%
1277%

Combined Bet Builder

3 legs

Lorient’s home threat and Brest’s leaky defence set the stage for an open, lively contest, while Brest should find chances of their own. Both teams to score looks a strong fit, with the attacking outlook pointing toward over 2.5 goals; sustained pressure at both ends should also keep the corners coming and clear the over 7.5 line.

1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 7.5
Confirmed XI3-4-3
38
Mvogo
32
Adjei
3
Talbi
95
Touré
20
Sylla
8
Cadiou
62
Avom
43
Kouassi
17
Makengo
19
Faye
18
Baldé
Impact Player Hot Head
Lorient34 hráči
53.1/ 99Průměrný
Nejlepší
1Nosa Edward ObaretinDEF93
2Karim DermaneMID77
3Mamadou KonéFWD73
Stade Brestois 2931 hráči
57.6/ 99Silný
Nejlepší
1Noah EdjoumaFWD93
2Ibrahim Yayiya KantéFWD83
3Rémy Labeau LascaryFWD79
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Noah EdjoumaStade Brestois 29
99
2
Ibrahim Yayiya KantéStade Brestois 29
84
3
Djylian N'GuessanStade Brestois 29
76
4
Rémy Labeau LascaryStade Brestois 29
72
5
Bamba DiengLorient
70
Zeď
Nejlepší obránci
1
Nosa Edward ObaretinLorient
98
2
R. Le GuenStade Brestois 29
86
3
Montassar TalbiLorient
79
4
Brendan Chardonnet Stade Brestois 29
78
5
Gautier LlorisStade Brestois 29
68
Kontrola
Nejlepší tvůrci hry
1
Hamidou MakalouStade Brestois 29
84
2
Arthur AvomLorient
74
3
Karim DermaneLorient
65
4
Gabin BernardeauLorient
63
5
Laurent Abergel Lorient
63
Zlobivci
Nejpravděpodobnější žlutá karta
1
Darlin YongwaLorient
1
2
Montassar TalbiLorient
1
3
Laurent Abergel Lorient
1
4
Junior DiazStade Brestois 29
1
5
Kamory DoumbiaStade Brestois 29
1
Žebříček síly
Nejsilnější celkově
1
Nosa Edward ObaretinLorient
93
2
Noah EdjoumaStade Brestois 29
93
3
Ibrahim Yayiya KantéStade Brestois 29
83
4
Rémy Labeau LascaryStade Brestois 29
79
5
Karim DermaneLorient
77

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Lorient vs Stade Brestois 29 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 Lorient vs Stade Brestois 29 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 Lorient 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 Lorient vs Stade Brestois 29 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 Lorient 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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