Vasas II vs Tiszafuredi VSE: result 2-3 and analysis
NB III - NortheastKeleti - 16Kick-off on November 6, 2022 at 10:00 AM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas II vs Tiszafuredi VSE?
Tiszafuredi VSE won 2-3 on November 6, 2022.
Goalscorers
- 14′?Tiszafuredi VSE
- 17′?Vasas II
- 57′?Vasas II
- 74′D. TóthTiszafuredi VSE
- 79′?Tiszafuredi VSE (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vasas II have 5 wins, 3 draws and 7 defeats; Tiszafuredi VSE have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Diósgyőr II(away) | 1-2 | NB III - Northeast |
| Oct 22, 2022 | Putnok VSE(home) | 1-2 | NB III - Northeast |
| Oct 16, 2022 | Debrecen II(home) | 2-4 | NB III - Northeast |
| Oct 9, 2022 | Füzesgyarmati(away) | 3-0 | NB III - Northeast |
| Oct 2, 2022 | Békéscsaba II(home) | 7-2 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Debrecen II(home) | 2-5 | NB III - Northeast |
| Oct 22, 2022 | Füzesgyarmati(away) | 0-2 | NB III - Northeast |
| Oct 16, 2022 | Békéscsaba II(home) | 3-3 | NB III - Northeast |
| Oct 9, 2022 | FC Hatvan(away) | 2-4 | NB III - Northeast |
| Oct 2, 2022 | Kisvárda II(home) | 1-0 | NB III - Northeast |
How many goals should we expect?
Vasas II score 2.5 and concede 1.7 goals per match over their last 15; Tiszafuredi VSE score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas II | 2.5 | 1.7 | 3 | 11/15 | 12/15 |
| Tiszafuredi VSE | 1.6 | 1.9 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Tiszafuredi VSE | 15 | 5 | 1 | 9 | 11 | 21 | 16 |
A question about Vasas II vs Tiszafuredi VSE?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy