St Patrick's Athl. vs Drogheda United Statistics & Analysis

Quick read on how the model reads this matchup.

• League: Premier Division
• Fixture: St Patrick's Athl. vs Drogheda United
• Kickoff: 2026-06-12 18:45:00
• 1X2 (model): Home 71.1% · Draw 19.5% · Away 9.4%
• xG (showing): St Patrick's Athl. 2.28 — Drogheda United 0.74 (total xG ≈ 3.02)
• Primary / headline line (Betting Primary Pick when shown): Over 2.5 goals
• Model: 58.1% · Implied: 52.1% · Probability edge: +6.0 pts · Est. EV: +9.2%
• BTTS (model): Yes 48.0% · No 52.0%
• Correct score (top bin): 2-0 (12.7%)

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

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

The engine’s headline primary is: Over 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.

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

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.

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.

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 13, 2026 (UTC)