Tukums vs BFC Daugavpils Statistics & Analysis

Pre-match snapshot for this fixture.

• League: Virsliga
• Fixture: Tukums vs BFC Daugavpils
• Kickoff: 2026-06-12 15:00:00
• 1X2 (model): Home 36.2% · Draw 28.7% · Away 35.1%
• xG (showing): Tukums 1.31 — BFC Daugavpils 1.29 (total xG ≈ 2.6)
• Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
• Model: 51.8% · Implied: 45.2% · Probability edge: +6.6 pts · Est. EV: +8.8%
• BTTS (model): Yes 54.5% · No 45.5%
• Correct score (top bin): 1-1 (12.6%)

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

1X2 can look balanced even when side markets show clearer structure.

Primary pick from the decision engine: Under 2.5 goals.

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

No pick is a guarantee; variance is especially large in scoreline markets.

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 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.

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.

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.

• 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 13, 2026 (UTC)