· Coupe de France
Le Touquet
ATT
5/10
DEF
5/10
2:3
Avranches
5/10
ATT
5/10
DEF
Full-time
Best Pick
BTTS
63%
Correct Score102′
Top
1-1
10.4%
9.63
Top
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 — Expected Goals
Le Touquet
Le Touquet exp
Avranches
Avranches exp
goal
Probable XI4-4-2
Diop
Dumez
Flahaut
Fruitier
Plaete
Zongo
Fontaine
Wallon
Boudsocq
Cogan
Wyart
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Le Touquet17 players
No squad metrics available
Abdourahmane DiopGK
Anthony CaremelleGK
Reynald FrameryGK
Gordon DumezDEF
Hugo FlahautDEF
Lucas FruitierDEF
Maxence PlaeteDEF
Maxime CoganDEF
Nathan WyartDEF
Quentin GosselinDEF
Adma ZongoMID
Louis FontaineMID
Martin WallonMID
Avranches9 players
50.9/ 99Average
Top Rated
1Kenny HerbinFWD63
2Killian GesmierMID56
3Jessy PiMID52
Le Touquet17
PlayerOverall RatingImpactAggressionDiscipline
Abdourahmane Diop————
Anthony Caremelle————
Reynald Framery————
Gordon Dumez————
Hugo Flahaut————
Lucas Fruitier————
Maxence Plaete————
Maxime Cogan————
Nathan Wyart————
Quentin Gosselin————
Adma Zongo————
Louis Fontaine————
Martin Wallon————
Avranches20
PlayerOverall RatingImpactAggressionDiscipline
9
Kenny Herbin63685050
18
Killian Gesmier56546351
10
Jessy Pi52524952
1
Anthony Beuve49487950
17
Paul Terrien49494650
11
Anas Lamrabette49455854
29
Sasha Delestre48504550
26
Emeric Dudouit46494346
8
Charles Boateng46435249
Keny Bertheaume————
Aly-Enzo Hamon————
22
Bryan Djile Nokoue————
2
Zacharie Iscaye————
Player Rankings
Snipers
Top goal threats
1
Kenny HerbinAvranches
68
2
Anas LamrabetteAvranches
45
Wall
Top defenders
1
Sasha DelestreAvranches
50
2
Emeric DudouitAvranches
49
3
Paul TerrienAvranches
49
Control
Top playmakers
1
Killian GesmierAvranches
54
2
Jessy PiAvranches
52
3
Charles BoatengAvranches
43
Bad Boys
Most likely to get booked
1
Emeric DudouitAvranches
46
2
Charles BoatengAvranches
49
3
Anthony BeuveAvranches
50
4
Paul TerrienAvranches
50
5
Sasha DelestreAvranches
50
Power Rankings
Strongest overall
1
Kenny HerbinAvranches
63
2
Killian GesmierAvranches
56
3
Jessy PiAvranches
52
4
Anthony BeuveAvranches
49
5
Paul TerrienAvranches
49

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Le Touquet vs Avranches 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 Le Touquet vs Avranches 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 Le Touquet 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 Le Touquet vs Avranches 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 Le Touquet 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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