SKN ST. Polten vs WSPG Wels Statistics & Analysis

Quick read on how the model reads this matchup.

• League: 2. Liga
• Fixture: SKN ST. Polten vs WSPG Wels
• Kickoff: 2026-05-14 16:00:00
• 1X2 (model): Home 16.6% · Draw 27.4% · Away 56.0%
• xG (showing): SKN ST. Polten 0.63 — WSPG Wels 1.41 (total xG ≈ 2.04)
• Primary / headline line (Betting Primary Pick when shown): WSPG Wels
• Model: 56.0% · Implied: 12.8% · Probability edge: +43.1 pts · Est. EV: +23.4%
• BTTS (model): Yes 53.3% · No 46.7%
• Correct score (top bin): 1-1 (12.1%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Primary angle highlighted on the page: WSPG Wels.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Edges shrink quickly if prices move; always re-check the number on your book.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

• 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)