DEAC vs Ózd Sajóvölgye Statistics & Analysis

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

• League: NB III - Northeast
• Fixture: DEAC vs Ózd Sajóvölgye
• Kickoff: 2026-05-10 15:00:00
• 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
• xG (showing): DEAC 1.45 — Ózd Sajóvölgye 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 Over 2.5 (Under 2.5 33.0% · Over 2.5 67.0%); BTTS Yes (Yes 56.8% · No 43.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
• BTTS (model): Yes 56.8% · No 43.2%
• Correct score (top bin): 2-1 (9.6%)

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.

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

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.

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

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.

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 17, 2026 (UTC)