SV Kapfenberg vs SKN ST. Polten Statistics & Analysis

Quick read on how the model reads this matchup.

• League: 2. Liga
• Fixture: SV Kapfenberg vs SKN ST. Polten
• Kickoff: 2026-05-08 16:00:00
• 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
• xG (showing): SV Kapfenberg 0.63 — SKN ST. Polten 1.41 (total xG ≈ 2.04)
• Primary / headline line (Betting Primary Pick when shown): BTTS No
• Model: 51.0% · Implied: 43.3% · Probability edge: +7.7 pts · Est. EV: +14.8%
• BTTS (model): Yes 49.0% · No 51.0%
• Correct score (top bin): 1-1 (11.4%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

The engine’s headline primary is: BTTS No.

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

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

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.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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.

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.

• 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)