Shakhtar Donetsk vs Obolon'-Brovar Statistics & Analysis

Pre-match snapshot for this fixture.

• League: Premier League
• Fixture: Shakhtar Donetsk vs Obolon'-Brovar
• Kickoff: 2026-05-16 15:00:00
• 1X2 (model): Home 72.6% · Draw 18.5% · Away 8.8%
• xG (showing): Shakhtar Donetsk 2.37 — Obolon'-Brovar 0.74 (total xG ≈ 3.11)
• Primary / headline line (Betting Primary Pick when shown): BTTS Yes
• Model: 48.4% · Implied: 40.5% · Probability edge: +7.9 pts · Est. EV: +16.2%
• BTTS (model): Yes 48.4% · No 51.6%
• Correct score (top bin): 2-0 (12.5%)

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

Correct score remains high-variance even when a line is most likely on paper.

Primary pick from the decision engine: BTTS Yes.

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.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

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.

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.

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.

• 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 18, 2026 (UTC)