Dornbirn vs Kufstein Statistics & Analysis

Pre-match snapshot for this fixture.

• League: Regionalliga - West
• Fixture: Dornbirn vs Kufstein
• Kickoff: 2026-05-09 15:00:00
• 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
• xG (showing): Dornbirn 1.45 — Kufstein 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 60.9% · Over 2.5 39.1%); BTTS No (Yes 30.0% · No 70.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
• BTTS (model): Yes 30.0% · No 70.0%
• Correct score (top bin): 1-0 (15.8%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

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

No bankroll-sized bet is implied here.

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.

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.

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.

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.

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)