Argentina Liga Profesional
Union Santa Fe vs Lanus Prediction
Kickoff (UTC):
A model prediction for this match is not available yet. Predictions publish about 48 hours before kickoff.
Match trends
- Union Santa Fe matches average 9.00 total corners (4.93 won per game) across their last 42 with corner data.
- Over 9.5 corners has landed in 43% of Union Santa Fe matches.
- Lanus win 4.09 corners per game, with match totals averaging 8.38 over their last 53.
- Over 9.5 corners has landed in 36% of Lanus matches.
- Games involving Union Santa Fe produce 2.45 goals per match on average; BTTS has hit 52%.
- Lanus matches average 2.02 goals, with both teams scoring in 34% of them.
- Across their previous 10 meetings, these sides averaged 2.6 goals.
- Head-to-head, the last 10 meetings with corner data averaged 9 corners.
Union Santa Fe — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-25 | A | D Platense | 2–2 | 2–6 |
| 2026-05-23 | H | L Independiente | 0–2 | 1–5 |
| 2026-05-13 | A | L Belgrano | 0–2 | 7–4 |
| 2026-05-10 | A | W Independiente Rivadavia | 2–1 | 5–5 |
| 2026-05-03 | H | D Talleres Cordoba | 1–1 | 8–0 |
| 2026-04-28 | A | D Velez Sarsfield | 2–2 | 4–2 |
| 2026-04-18 | H | L Newell's | 2–3 | 15–4 |
| 2026-04-12 | A | L Estudiantes LP | 1–2 | 6–4 |
| 2026-04-04 | H | W Deportivo Riestra | 2–0 | 9–0 |
| 2026-03-31 | H | W Agropecuario | 2–0 | 3–3 |
Lanus — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-30 | A | L Cienciano | 0–4 | 3–6 |
| 2026-07-26 | H | W San Lorenzo | 1–0 | 8–2 |
| 2026-07-23 | H | W Cienciano | 2–0 | 7–0 |
| 2026-05-31 | A | L Instituto AC Cordoba | 1–2 | 7–4 |
| 2026-05-27 | H | W Mirassol | 1–0 | 10–1 |
| 2026-05-21 | A | L LDU Quito | 0–2 | 1–5 |
| 2026-05-10 | A | L Argentinos Jrs | 0–2 | 2–3 |
| 2026-05-06 | A | L Always Ready | 0–4 | 5–2 |
| 2026-05-03 | H | D Deportivo Riestra | 0–0 | 4–7 |
| 2026-04-29 | H | W LDU Quito | 1–0 | 6–4 |
Match questions
- 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.