MathPredictions

Switzerland Super League

FC Sion vs Lucerne Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.93 – 1.40
Avg goals3.33
Our pickHome
FC Sion 49% Draw 24% Lucerne 27%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 49% 2.05 2.05
Double chance Home or away 76% 1.32 1.26
Goals 3 Over 55% 1.83 1.85
Both teams to score Yes 65% 1.53 1.50
Asian handicap -0.25 Home 56% 1.80 1.80
Corners 10 Over 51% 1.97 1.93
Correct score 1-1 11% 9.38 7.50

Bookmaker odds

Match result (1X2) Home 2.05  ·  Draw 3.70  ·  Away 3.25
Goals 3 Over 1.85  ·  Under 1.95
Asian handicap -0.25 Home 1.80  ·  Away 2.00
Corners 10 Over 1.93  ·  Under 1.88

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

Corner forecast

5.3 FC Sion
10.1 Expected corners
4.8 Lucerne
Corner line 10.00
Over 51% Under 49%

Match trends

FC Sion — last 10 matches

DateH/AOpponentScoreCorners
2026-07-31 H W BATE Borisov 4–0 10–1
2026-07-26 A L Young Boys 2–4 4–6
2026-07-24 A D BATE Borisov 1–1 8–1
2026-07-17 A W Annecy 4–0 7–3
2026-07-02 A W Neuchatel Xamax 4–2 7–5
2026-06-27 H W Etoile Carouge 7–0 10–2
2026-05-17 A D Young Boys 3–3 5–5
2026-05-14 H D Lugano 2–2 4–4
2026-05-10 H W FC Thun 2–0 9–3
2026-05-03 A W St Gallen 3–0 7–5

Lucerne — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 H L FC Thun 1–3 12–6
2026-07-18 H L Sint-Truidense 1–2 11–2
2026-07-04 H W Winterthur 3–2 10–4
2026-05-17 A W Winterthur 3–0 6–1
2026-05-13 H W FC Zurich 1–0 10–5
2026-05-10 H D Servette 3–3 6–2
2026-05-03 A W Lausanne Sports 3–1 7–5
2026-04-26 A W Grasshoppers 2–1 6–5
2026-04-12 H D St Gallen 2–2 6–5
2026-04-06 A L Servette 0–3 6–4

Match questions

Who is predicted to win FC Sion vs Lucerne?
Our model gives FC Sion a 49% chance, the draw 24% and Lucerne 27%. The most likely score is 1-1.
How many corners are expected in FC Sion vs Lucerne?
The corner model projects 10.1 total corners. Over 10.00 corners is rated at 51% 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.