Predictions / Football / France. National 2 - Group C / Bobigny vs Fréjus St-Raphaël

Bobigny vs Fréjus St-Raphaël Prediction, Odds & AI Betting Tips

May 09, 2026 - 16:00
1 1.45
0 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 Bobigny Bobigny ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: National 2 - Group C
  • Fixture: Bobigny vs Fréjus St-Raphaël
  • Kickoff: 2026-05-09 16:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Bobigny 1.45 — Fréjus St-Raphaël 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 51.8% · Over 2.5 48.2%); BTTS No (Yes 33.9% · No 66.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 33.9% · No 66.1%
  • Correct score (top bin): 1-1 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

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.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

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.

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.

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 C National 2 - Group CStandings
# TEAM MP W D L PTS
1 Cannes 31 17 10 4 61
2 Nimes 30 18 5 7 59
3 St Maur Lusitanos 30 15 10 5 55
4 Rumilly Vallières 30 13 8 9 47
5 Hyères 31 11 13 7 46
6 Andrézieux 30 12 9 9 45
7 Istres 30 11 10 9 43
8 Creteil 30 12 7 11 43
9 Chasselay MDA 30 11 8 11 41
10 Grasse 30 9 9 12 36
11 Fréjus St-Raphaël 30 9 8 13 35
12 Limonest 30 9 7 14 34
13 Toulon 30 8 10 12 34
14 Bobigny 30 7 11 12 32
15 Saint-Priest 30 7 9 14 30
16 Rousset-Ste Victoire 30 2 6 22 12
# TEAM MP GS GC +/- PTS
1 Cannes 31 56 33 +23 61
2 Rumilly Vallières 30 49 36 +13 47
3 Andrézieux 30 48 33 +15 45
4 Nimes 30 46 25 +21 59
5 Istres 30 42 32 +10 43
6 Grasse 30 41 42 -1 36
7 St Maur Lusitanos 30 40 24 +16 55
8 Hyères 31 39 30 +9 46
9 Chasselay MDA 30 38 46 -8 41
10 Toulon 30 38 47 -9 34
11 Fréjus St-Raphaël 30 37 50 -13 35
12 Creteil 30 36 34 +2 43
13 Limonest 30 36 49 -13 34
14 Saint-Priest 30 35 50 -15 30
15 Bobigny 30 29 31 -2 32
16 Rousset-Ste Victoire 30 28 76 -48 12