Ivry vs Belfort Prediction, Odds & AI Betting Tips

May 16, 2026 - 16:00
2 1.45
1 1.25
xG Accuracy: 80%
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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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Ivry Ivry ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 2-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: National 3 - Group F
  • Fixture: Ivry vs Belfort
  • Kickoff: 2026-05-16 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Ivry 1.45 — Belfort 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 58.3% · Over 2.5 41.7%); BTTS No (Yes 49.5% · No 50.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 49.5% · No 50.5%
  • Correct score (top bin): 1-1 (13.1%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No bankroll-sized bet is implied here.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

FAQ

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.

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.

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.

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.

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 3 - Group F National 3 - Group FStandings
# TEAM MP W D L PTS
1 Troyes II 26 15 6 5 51
2 Thonon Évian 26 13 7 6 46
3 Chalon 26 12 9 5 45
4 Racing Besançon 26 11 10 5 43
5 Jura Dolois 26 12 6 8 42
6 Torcy 26 10 7 9 37
7 Pontarlier 26 9 9 8 36
8 Ivry 26 9 8 9 35
9 Thaon 26 9 5 12 32
10 Belfort 26 7 9 10 30
11 Mulhouse 26 8 6 12 30
12 Strasbourg II 26 7 7 12 28
13 Sochaux II 26 7 6 13 27
14 Besançon 26 2 7 17 13
# TEAM MP GS GC +/- PTS
1 Troyes II 26 54 32 +22 51
2 Thaon 26 44 42 +2 32
3 Thonon Évian 26 43 31 +12 46
4 Chalon 26 41 29 +12 45
5 Racing Besançon 26 38 24 +14 43
6 Pontarlier 26 38 31 +7 36
7 Jura Dolois 26 37 31 +6 42
8 Belfort 26 37 34 +3 30
9 Sochaux II 26 37 44 -7 27
10 Mulhouse 26 35 46 -11 30
11 Torcy 26 32 30 +2 37
12 Strasbourg II 26 28 48 -20 28
13 Ivry 26 26 29 -3 35
14 Besançon 26 18 57 -39 13