· Coupe de France
Cheminots Paray
ATT
5/10
DEF
5/10
0:3
Villefranche
5/10
ATT
5/10
DEF
Bitti
En iyi tahmin
KG VAR
63%
Doğru skor91′
Mükemmel
1-1
10.4%
9.63
Mükemmel
2-1
9.1%
10.99
1-2
7.5%
13.42
1-0
7.2%
13.81
2-2
6.5%
15.32
2-0
6.3%
15.77
0-1
5.9%
16.86
3-1
5.3%
18.82
145%
2.21TOP
X23%
4.31
232%
3.16
1X68%
X255%
1277%
xG — Beklenen goller
Cheminots Paray
Cheminots Paray bekl.
Villefranche
Villefranche bekl.
goal
Probable XI4-4-2
Loudot
Bernard
Voisin
Longin
Gagneaud
Deschaintre
Bouchot
Bouillet
Muneret
Moinot
Benameur
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Cheminots Paray13 oyuncu
Kadro verisi yok
Bastien LoudotGK
Jeremy CharvonGK
Anthony BernardDEF
Baptiste VoisinDEF
Etienne LonginDEF
Jean GagneaudDEF
Sylvain MoinotDEF
Zakaria BenameurDEF
Benoit DeschaintreMID
Franck BouchotMID
Mathieu BouilletMID
Pierre Yves MuneretMID
Sébastien ScirpoliMID
Villefranche4 oyuncu
48.8/ 99Orta
En İyiler
1Nassim SabihiFWD52
2Loïc EtogaMID49
3Fred Ondoa OnambeleDEF48
Cheminots Paray13
PlayerGenel DereceEtkiAgresyonDisiplin
Bastien Loudot————
Jeremy Charvon————
Anthony Bernard————
Baptiste Voisin————
Etienne Longin————
Jean Gagneaud————
Sylvain Moinot————
Zakaria Benameur————
Benoit Deschaintre————
Franck Bouchot————
Mathieu Bouillet————
Pierre Yves Muneret————
Sébastien Scirpoli————
Villefranche29
PlayerGenel DereceEtkiAgresyonDisiplin
26
Nassim Sabihi52525152
29
Loïc Etoga49504550
12
Fred Ondoa Onambele48494550
22
Paolo Limon46454550
1
Sullivan Péan————
16
Titouan Wilzius————
5
Boris Moltenis————
23
Dembo Gassama————
Erwan Norde————
2
Jason Ngouabi Lougagui————
19
Kemryk Nagera————
4
Marvin Tshibuabua————
8
Maxime Etuin————
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Nassim SabihiVillefranche
52
Duvar
En iyi savunmacılar
1
Fred Ondoa OnambeleVillefranche
49
Kontrol
En iyi oyun kurucular
1
Loïc EtogaVillefranche
50
2
Paolo LimonVillefranche
45
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Fred Ondoa OnambeleVillefranche
50
2
Loïc EtogaVillefranche
50
3
Paolo LimonVillefranche
50
4
Nassim SabihiVillefranche
52
Güç sıralaması
Genel olarak en güçlüler
1
Nassim SabihiVillefranche
52
2
Loïc EtogaVillefranche
49
3
Fred Ondoa OnambeleVillefranche
48
4
Paolo LimonVillefranche
46

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Cheminots Paray vs Villefranche 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 Cheminots Paray vs Villefranche 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 Cheminots Paray 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 Cheminots Paray vs Villefranche 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 Cheminots Paray 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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