EBK vs Musa Statistics & Analysis

Pre-match snapshot for this fixture.

• League: Kakkonen - Lohko B
• Fixture: EBK vs Musa
• Kickoff: 2026-06-12 16:30:00
• 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
• xG (showing): EBK 1.28 — Musa 1.32 (total xG ≈ 2.6)
• Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
• Model: 51.8% · Implied: 25.4% · Probability edge: +26.4 pts · Est. EV: +107.2%
• BTTS (model): Yes 54.5% · No 45.5%
• Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

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

Primary pick from the decision engine: Under 2.5 goals.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

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

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.

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.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

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.

June 15, 2026 (UTC)