Beltinci vs Bilje Statistics & Analysis

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

• League: 2. SNL
• Fixture: Beltinci vs Bilje
• Kickoff: 2026-05-17 15:00:00
• 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
• xG (showing): Beltinci 1.45 — Bilje 1.25 (total xG ≈ 2.7)
• Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
• Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 53.1% · Over 2.5 46.9%); BTTS No (Yes 45.9% · No 54.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
• BTTS (model): Yes 45.9% · No 54.1%
• Correct score (top bin): 1-0 (13.3%)

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.

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

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.

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

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.

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.

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.

• 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%).

• 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.

May 19, 2026 (UTC)