Romania Liga I
Universitatea Cluj vs FC Botosani Prediction
Kickoff (UTC):
A model prediction for this match is not available yet. Predictions publish about 48 hours before kickoff.
Match trends
- Universitatea Cluj win 4.65 corners per game, with match totals averaging 9.72 over their last 54.
- Universitatea Cluj games clear the 9.5 corner line 48% of the time.
- Across 46 recent matches, FC Botosani games produced 9.41 corners on average — 4.78 taken by FC Botosani themselves.
- FC Botosani games clear the 9.5 corner line 43% of the time.
- Universitatea Cluj matches average 2.31 goals, with both teams scoring in 44% of them.
- Games involving FC Botosani produce 2.72 goals per match on average; BTTS has hit 57%.
- The last 10 head-to-head meetings averaged 2.3 goals per game.
- Corners have averaged 10.8 across their last 10 direct meetings.
Universitatea Cluj — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-31 | A | L SK Brann | 1–3 | 3–6 |
| 2026-07-26 | A | L ACS Sepsi | 0–1 | 5–3 |
| 2026-07-24 | H | D SK Brann | 2–2 | 9–5 |
| 2026-07-19 | H | W Farul Constanta | 2–1 | 2–4 |
| 2026-07-17 | H | D Dynamo Kyiv | 0–0 | 5–2 |
| 2026-07-13 | A | D CS U Craiova | 1–1 | 3–8 |
| 2026-07-10 | A | D Dynamo Kyiv | 0–0 | 4–10 |
| 2026-07-03 | H | L Nyiregyhaza | 0–3 | 2–5 |
| 2026-07-02 | H | L Vojvodina | 0–3 | 5–5 |
| 2026-06-28 | A | D Ujpest | 0–0 | 6–5 |
FC Botosani — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-28 | H | L Rapid Bucuresti | 0–1 | 3–4 |
| 2026-07-17 | A | D FC Voluntari | 2–2 | 1–5 |
| 2026-07-04 | A | D Ludogorets Razgrad | 2–2 | 9–8 |
| 2026-05-25 | A | D FCSB | 3–3 | 5–7 |
| 2026-05-16 | A | L FK Csikszereda Miercurea Ciuc | 0–2 | 7–2 |
| 2026-05-10 | H | D Petrolul Ploiesti | 1–1 | 6–4 |
| 2026-05-02 | A | D Farul Constanta | 1–1 | 2–7 |
| 2026-04-25 | H | D Otelul Galati | 1–1 | 5–4 |
| 2026-04-20 | H | W Metaloglobus Bucuresti | 3–2 | 6–3 |
| 2026-04-11 | A | L UTA Arad | 1–3 | 1–5 |
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.