Guatemala Segunda Division
Deportivo Ayutla vs FC Ocos Prediction
Kickoff (UTC):
Predicted score
1-1
Expected goals1.82 – 1.04
Avg goals2.86
Our pickHome
Deportivo Ayutla 54%
Draw 25%
FC Ocos 20%
Markets
| Market | Line | Our pick | Probability | Fair odds | Odds |
|---|---|---|---|---|---|
| Match result (1X2) | – | Home | 54% | 1.84 | 1.65 |
| Double chance | – | Home or draw | 80% | 1.26 | 1.12 |
| Goals | 2.75 | Under | 51% | 1.95 | 1.85 |
| Both teams to score | – | Yes | 55% | 1.81 | – |
| Asian handicap | -0.75 | Away | 51% | 1.94 | 1.95 |
| Correct score | – | 1-1 | 12% | 8.37 | 7.50 |
Bookmaker odds
| Match result (1X2) | Home 1.65 · Draw 3.50 · Away 4.50 |
| Goals 2.75 | Over 1.95 · Under 1.85 |
| Asian handicap -0.75 | Home 1.85 · Away 1.95 |
Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.
Match trends
- Deportivo Ayutla matches average 9.56 total corners (6.63 won per game) across their last 16 with corner data.
- Deportivo Ayutla games clear the 9.5 corner line 44% of the time.
- Deportivo Ayutla matches average 3.06 goals, with both teams scoring in 56% of them.
- On the goal line, our probabilities favour Under 2.75 (51%).
Deportivo Ayutla — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-03-05 | A | L Club America Salcaja | 1–2 | 5–3 |
| 2026-03-02 | H | W El Mazateco | 1–0 | 4–1 |
| 2026-02-16 | H | W Sija FC | 4–0 | 5–0 |
| 2026-02-09 | H | W Deportivo Chiantla | 3–1 | 3–1 |
| 2026-02-02 | A | L Deportivo Colomba | 0–2 | 6–6 |
| 2026-01-22 | H | W Club America Salcaja | 3–1 | 5–0 |
| 2025-11-02 | A | D Universidad de San Carlos | 2–2 | 2–4 |
| 2025-10-27 | H | L CF USAC | 1–2 | 20–1 |
| 2025-10-06 | H | W Jacalteco | 3–0 | 8–2 |
| 2025-09-29 | A | L Club America Salcaja | 0–5 | 4–1 |
Match questions
- Who is predicted to win Deportivo Ayutla vs FC Ocos?
- Our model gives Deportivo Ayutla a 54% chance, the draw 25% and FC Ocos 20%. The most likely score is 1-1.
- How are these predictions calculated?
- Predictions come from a statistical model fitted on multi-season match results: team attack/defense ratings with time decay, blended with current market lines. No human tipsters are involved, and every published prediction is settled and counted in our public accuracy record.