Hungary NB I
Ferencvarosi TC vs Vasas SC Prediction
Kickoff (UTC):
A model prediction for this match is not available yet. Predictions publish about 48 hours before kickoff.
Match trends
- Across 62 recent matches, Ferencvarosi TC games produced 9.39 corners on average — 5.52 taken by Ferencvarosi TC themselves.
- Ferencvarosi TC games clear the 9.5 corner line 42% of the time.
- Vasas SC matches average 10.09 total corners (5.97 won per game) across their last 33 with corner data.
- Vasas SC games clear the 9.5 corner line 64% of the time.
- Ferencvarosi TC matches average 2.95 goals, with both teams scoring in 53% of them.
- Games involving Vasas SC produce 3.00 goals per match on average; BTTS has hit 39%.
- The last 10 head-to-head meetings averaged 2.5 goals per game.
- Corners have averaged 10.3 across their last 10 direct meetings.
Ferencvarosi TC — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-31 | H | D FC Twente | 2–2 | 1–8 |
| 2026-07-27 | A | L Paksi | 2–4 | 2–7 |
| 2026-07-24 | A | W FC Twente | 2–1 | 4–3 |
| 2026-07-17 | H | W Vojvodina | 3–0 | 6–2 |
| 2026-07-10 | A | W Vojvodina | 2–1 | 8–4 |
| 2026-07-01 | H | W FK Qarabag | 1–0 | 4–8 |
| 2026-05-16 | H | W Zalaegerszegi TE | 3–0 | 5–2 |
| 2026-05-10 | H | D Zalaegerszegi TE | 0–0 | 7–0 |
| 2026-05-03 | A | W Ujpest | 5–0 | 5–3 |
| 2026-04-26 | H | W Paksi | 2–0 | 7–5 |
Vasas SC — last 10 matches
| Date | H/A | Opponent | Score | Corners |
|---|---|---|---|---|
| 2026-07-26 | H | D Gyor Eto FC | 2–2 | 4–5 |
| 2026-07-04 | H | W KFC Komarno | 3–1 | 4–6 |
| 2026-05-17 | H | W FC Ajka | 2–1 | 3–1 |
| 2026-05-10 | A | L Budapest Honved | 1–3 | 6–8 |
| 2026-05-05 | H | W Budafoki MTE | 3–2 | 6–6 |
| 2026-04-26 | A | W Fehervar FC | 2–0 | 2–8 |
| 2026-04-21 | H | L BVSC Zuglo | 0–2 | 7–5 |
| 2026-04-11 | A | W Szentlorinc SE | 4–0 | 4–4 |
| 2026-04-05 | A | W Szeged-Csanad Grosics | 4–0 | 3–3 |
| 2026-03-23 | H | W Soroksar | 3–1 | 6–5 |
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.