MathPredictions

Mexico Liga MX

Atletico San Luis vs Tijuana Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.53 – 1.38
Avg goals2.91
Our pickHome
Atletico San Luis 40% Draw 27% Tijuana 33%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Home 40% 2.50 2.20
Double chance Home or away 73% 1.37 1.30
Goals 2.75 Under 50% 2.00 1.98
Both teams to score Yes 60% 1.67 1.67
Asian handicap -0.25 Away 54% 1.86 1.85
Corners 8.5 Over 52% 1.92 1.85
Correct score 1-1 13% 7.90 6.50

Bookmaker odds

Match result (1X2) Home 2.20  ·  Draw 3.50  ·  Away 3.20
Goals 2.5 Over 1.83  ·  Under 1.98
Asian handicap -0.25 Home 1.95  ·  Away 1.85
Corners 8.5 Over 1.85  ·  Under 1.95

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

Corner forecast

8.7 Expected corners
Corner line 8.50
Over 52% Under 48%

Match trends

Atletico San Luis — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 A D Tigres UANL 2–2 3–9
2026-07-18 H L Cruz Azul 2–3 4–4
2026-04-26 A L Juarez FC 1–2 4–4
2026-04-23 H W Santos Laguna 2–0 7–6
2026-04-18 H L Unam Pumas 0–2 8–1
2026-04-13 A D Toluca 1–1 1–3
2026-04-05 A W Monterrey 2–1 9–4
2026-03-22 H L Leon 1–2 5–2
2026-03-15 H D Pachuca 1–1 0–5
2026-03-08 A L Cruz Azul 0–3 1–10

Tijuana — last 10 matches

DateH/AOpponentScoreCorners
2026-07-25 H W Leon 1–0 3–10
2026-07-17 H W Tigres UANL 3–1 1–4
2026-04-26 A D Chivas Guadalajara 0–0 2–8
2026-04-23 H W Pachuca 3–1 6–3
2026-04-19 A D Cruz Azul 1–1 1–4
2026-04-11 A W Juarez FC 2–1 9–5
2026-04-04 H W Tigres UANL 1–0 1–7
2026-03-21 A L Necaxa 0–3 1–6
2026-03-15 A W Leon 3–0 2–6
2026-03-09 H L Santos Laguna 1–2 4–7

Match questions

Who is predicted to win Atletico San Luis vs Tijuana?
Our model gives Atletico San Luis a 40% chance, the draw 27% and Tijuana 33%. The most likely score is 1-1.
How many corners are expected in Atletico San Luis vs Tijuana?
The corner model projects 8.7 total corners. Over 8.50 corners is rated at 52% 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.