Mátészalka vs Tiszafuredi VSE: prediction and stats
NB III - NortheastNortheast - 27Kick-off on May 2, 2027 at 03:00 PM (UTC)Mátészalkai Városi sporttelep, Mátészalka
The Footlab model makes Tiszafuredi VSE the favourite at 40%, against 25% for a draw and 35% for Mátészalka. The most likely score is 1-1.
This model is measured at 53.9% 1X2 accuracy on a temporal hold-out, against 33.3% for random guessing. See the measured accuracy
Probabilities recomputed on Aug 25, 2026 — the full match card is recomputed continuously until kick-off.
Who will win Mátészalka vs Tiszafuredi VSE?
Tiszafuredi VSE starts as the favourite with a 188-point Elo edge (1,498 vs 1,310).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mátészalka have 5 wins, 1 draws and 9 defeats; Tiszafuredi VSE have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2026 | Salgótarjáni BTC(away) | 2-0 | Magyar Kupa |
| Aug 16, 2026 | Hajdúnánás(away) | 0-3 | NB III - Northeast |
| Aug 12, 2026 | Gödöllő(home) | 4-0 | NB III - Northeast |
| Aug 8, 2026 | Salgótarjáni BTC(away) | 2-1 | NB III - Northeast |
| Jul 26, 2026 | Kisvárda II(away) | 1-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2026 | Sényő Carnifex(away) | 1-0 | Magyar Kupa |
| Aug 15, 2026 | Tiszaújváros(away) | 0-1 | NB III - Northeast |
| Aug 12, 2026 | Eger(away) | 0-1 | NB III - Northeast |
| Aug 8, 2026 | Ózd Sajóvölgye(home) | 0-2 | NB III - Northeast |
| Jul 26, 2026 | DEAC(home) | 0-2 | NB III - Northeast |
What does the head-to-head say?
Across the last 2 meetings: 0 Mátészalka win(s), 1 draw(s), 1 Tiszafuredi VSE win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2025 | Tiszafuredi VSE 4-3 Mátészalka | NB III - Northeast |
| Oct 20, 2024 | Mátészalka 0-0 Tiszafuredi VSE | NB III - Northeast |
Last archived meeting: Tiszafuredi VSE vs Mátészalka on May 4, 2025
How many goals should we expect?
Mátészalka score 1.7 and concede 1.7 goals per match over their last 15; Tiszafuredi VSE score 1.7 and concede 1.2. The model gives a 59% probability of over 2.5 goals and 62% for both teams to score.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mátészalka | 1.7 | 1.7 | 3 | 8/15 | 10/15 |
| Tiszafuredi VSE | 1.7 | 1.2 | 4 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mátészalka sit 6th in NB III - Northeast (7 points from 4 matches) and Tiszafuredi VSE sit 16th (0 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mátészalka | 4 | 2 | 1 | 1 | 7 | 5 | 7 |
| 16 | Tiszafuredi VSE | 4 | 0 | 0 | 4 | 0 | 6 | 0 |
Verdict, probable XI and verified absences
The full match card recomputes this prediction continuously until kick-off: multi-market verdict, player-by-player probable XI and web-verified absences.
Open the full match card in the app
No odds, no affiliation: the method is published and the accuracy is measured.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
Frequently asked questions
- Who is the favourite for Mátészalka vs Tiszafuredi VSE?
- The Footlab model makes Tiszafuredi VSE the favourite at 40%, against 25% for a draw and 35% for Mátészalka.
- Where and when is Mátészalka vs Tiszafuredi VSE played?
- Mátészalka vs Tiszafuredi VSE is played on May 2, 2027 at 03:00 PM (UTC) at Mátészalkai Városi sporttelep, in the NB III - Northeast.
- Will there be over 2.5 goals?
- The Footlab model gives a 59% probability of at least three goals in this match.
- How reliable is this prediction?
- The Footlab model is measured at 53.9% correct 1X2 outcomes on a temporal hold-out, against 33.3% for random guessing. The breakdown by competition and Elo gap is published on the accuracy page.