Merani Martvili vs Samtredia Statistics & Analysis

Quick read on how the model reads this matchup.

• League: Erovnuli Liga 2
• Fixture: Merani Martvili vs Samtredia
• Kickoff: 2026-06-17 13:00:00
• 1X2 (model): Home 38.5% · Draw 29.2% · Away 32.3%
• xG (showing): Merani Martvili 1.28 — Samtredia 1.32 (total xG ≈ 2.6)
• Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
• Model: 51.8% · Implied: 49.4% · Probability edge: +2.4 pts · Est. EV: +3.6%
• BTTS (model): Yes 54.5% · No 45.5%
• Correct score (top bin): 1-1 (12.5%)

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.

Top tracked +EV leg right now (hero card, non-primary grading): 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.

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.

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 17, 2026 (UTC)