MathPredictions

Mexico Liga MX

Queretaro vs Tigres UANL Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.31 – 1.49
Avg goals2.80
Our pickAway
Queretaro 32% Draw 28% Tigres UANL 40%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 40% 2.48 2.00
Double chance Home or away 72% 1.38 1.31
Goals 2.5 Over 53% 1.88 1.85
Both teams to score Yes 58% 1.73 1.70
Asian handicap 0.5 Home +13% Value 60% 1.67 1.83
Corners 10 Under 51% 1.96 1.90
Correct score 1-1 13% 7.67 6.50

Bookmaker odds

Match result (1X2) Home 3.80  ·  Draw 3.50  ·  Away 2.00
Goals 2.5 Over 1.85  ·  Under 1.95
Asian handicap 0.5 Home 1.83  ·  Away 1.98
Corners 10 Over 1.90  ·  Under 1.90

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

Corner forecast

9.9 Expected corners
Corner line 10.00
Over 49% Under 51%

Match trends

Queretaro — last 10 matches

DateH/AOpponentScoreCorners
2026-07-27 A W Pachuca 2–1 6–1
2026-07-19 H L Club America 0–1 2–12
2026-04-25 A W Puebla 2–1 12–3
2026-04-22 H D Cruz Azul 1–1 1–5
2026-04-18 A D Mazatlan FC 1–1 9–7
2026-04-12 H W Necaxa 3–1 4–5
2026-04-08 H D Juarez FC 1–1 9–6
2026-04-05 H W Toluca 1–0 3–7
2026-03-22 A D Atlas 0–0 8–3
2026-03-16 A D Tigres UANL 0–0 7–8

Tigres UANL — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 H D Atletico San Luis 2–2 9–3
2026-07-17 A L Tijuana 1–3 4–1
2026-05-31 A D Toluca 0–0 4–3
2026-05-10 A L Chivas Guadalajara 0–2 1–13
2026-05-06 H W Nashville SC 1–0 6–5
2026-05-03 H W Chivas Guadalajara 3–1 4–4
2026-04-29 A W Nashville SC 1–0 4–7
2026-04-26 H W Mazatlan FC 5–1 6–1
2026-04-23 A D Atlas 0–0 4–5
2026-04-19 A D Necaxa 1–1 13–0

Match questions

Who is predicted to win Queretaro vs Tigres UANL?
Our model gives Queretaro a 32% chance, the draw 28% and Tigres UANL 40%. The most likely score is 1-1.
How many corners are expected in Queretaro vs Tigres UANL?
The corner model projects 9.9 total corners. Over 10.00 corners is rated at 49% 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.