Chauray vs Granville Prediction, Odds & AI Betting Tips

May 16, 2026 - 16:00
0 1.45
1 1.25
xG Accuracy: 63%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Chauray Granville ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 0-1 ✔ Correct

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: National 2 - Group A
  • Fixture: Chauray vs Granville
  • Kickoff: 2026-05-16 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Chauray 1.45 — Granville 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 57.0% · Over 2.5 43.0%); BTTS No (Yes 42.9% · No 57.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 42.9% · No 57.1%
  • Correct score (top bin): 1-1 (13.0%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 23, 2026 (UTC)

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Back to Predictions
National 2 - Group A National 2 - Group AStandings
# TEAM MP W D L PTS
1 La Roche VF 30 19 8 3 65
2 Bordeaux 30 19 5 6 62
3 Bayonne 30 17 4 9 55
4 Saint-Malo 30 13 11 6 50
5 Les Herbiers 30 14 7 9 49
6 Angoulême 30 11 10 9 43
7 Dinan Léhon 30 12 5 13 41
8 Avranches 30 10 10 10 40
9 Chauray 30 11 5 14 38
10 Saint-Colomban Locminé 30 9 10 11 37
11 Montlouis 30 7 10 13 31
12 Lorient II 30 9 5 16 31
13 Châteaubriant 30 8 6 16 30
14 Granville 30 6 11 13 29
15 Saumur 30 6 10 14 28
16 Poitiers 30 5 11 14 25
# TEAM MP GS GC +/- PTS
1 La Roche VF 30 61 27 +34 65
2 Bordeaux 30 51 28 +23 62
3 Avranches 30 46 41 +5 40
4 Les Herbiers 30 45 33 +12 49
5 Dinan Léhon 30 44 45 -1 41
6 Saint-Malo 30 43 29 +14 50
7 Bayonne 30 42 27 +15 55
8 Montlouis 30 42 50 -8 31
9 Lorient II 30 38 51 -13 31
10 Saumur 30 37 56 -19 28
11 Chauray 30 35 38 -3 38
12 Angoulême 30 33 36 -3 43
13 Granville 30 32 41 -9 29
14 Saint-Colomban Locminé 30 31 34 -3 37
15 Châteaubriant 30 25 47 -22 30
16 Poitiers 30 21 43 -22 25