MathPredictions

Portugal Segunda Liga

SC Farense vs Torreense Prediction

Kickoff (UTC):

Predicted score 1-114%0-114%0-013%
Expected goals0.95 – 1.15
Avg goals2.10
Our pickAway
SC Farense 29% Draw 31% Torreense 40%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 40% 2.51 2.10
Double chance Draw or away 71% 1.42 1.24
Goals 2.25 Under +6% Value 59% 1.69 1.80
Both teams to score No 58% 1.74 1.80
Asian handicap 0.25 Home 53% 1.89 1.95
Corners 9.5 Over 53% 1.89 1.98
Correct score 1-1 14% 7.19 6.00

Bookmaker odds

Match result (1X2) Home 3.20  ·  Draw 3.00  ·  Away 2.10
Goals 2.25 Over 2.00  ·  Under 1.80
Asian handicap 0.25 Home 1.95  ·  Away 1.85
Corners 9.5 Over 1.98  ·  Under 1.83

Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.

Corner forecast

5.4 SC Farense
9.8 Expected corners
4.3 Torreense
Corner line 9.50
Over 53% Under 47%

Match trends

SC Farense — last 10 matches

DateH/AOpponentScoreCorners
2026-05-31 A D CF Os Belenenses 0–0 6–11
2026-05-24 H W CF Os Belenenses 1–0 3–4
2026-05-18 A L Portimonense 0–1 4–4
2026-05-09 H D Pacos Ferreira 1–1 6–9
2026-05-03 A W UD Leiria 3–0 6–2
2026-04-25 H D Academico Viseu 0–0 5–4
2026-04-19 A W Vizela 2–0 4–9
2026-04-11 H W Sporting B 2–1 3–7
2026-04-04 H L Feirense 0–1 4–4
2026-03-23 A L Benfica B 0–1 3–3

Torreense — last 10 matches

DateH/AOpponentScoreCorners
2026-08-02 A L FC Porto 0–1 2–4
2026-07-26 A D Estoril 0–0 5–5
2026-05-29 A L Casa Pia 0–2 9–6
2026-05-25 A D Sporting 1–1 2–14
2026-05-21 H D Casa Pia 0–0 5–3
2026-05-16 H W Vizela 4–0 3–3
2026-05-10 A W Lusitania Lourosa 2–1 7–5
2026-05-05 H W Penafiel 3–2 4–5
2026-04-29 A D Feirense 0–0 4–5
2026-04-24 H W AD Fafe 2–0 10–3

Match questions

Who is predicted to win SC Farense vs Torreense?
Our model gives SC Farense a 29% chance, the draw 31% and Torreense 40%. The most likely score is 1-1.
How many corners are expected in SC Farense vs Torreense?
The corner model projects 9.8 total corners. Over 9.50 corners is rated at 53% probability.
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.