Tiszaújváros vs Pénzügyőr: result 0-3 and analysis
NB III - NortheastKeleti - 1Kick-off on July 31, 2022 at 03:30 PM (UTC)Sport Park, Tiszaújváros
Full time
What was the result of Tiszaújváros vs Pénzügyőr?
Pénzügyőr won 0-3 on July 31, 2022.
Goalscorers
- 19′?Pénzügyőr
- 68′?Pénzügyőr
- 79′?Pénzügyőr
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tiszaújváros have 8 wins, 1 draw and 6 defeats; Pénzügyőr have 4, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2022 | Kazincbarcikai(away) | 0-3 | Friendlies Clubs |
| May 29, 2022 | Debrecen II(away) | 2-1 | NB III - Northeast |
| May 22, 2022 | Tiszafuredi VSE(away) | 0-1 | NB III - Northeast |
| May 15, 2022 | Békéscsaba II(home) | 6-0 | NB III - Northeast |
| May 8, 2022 | Kazincbarcikai(away) | 1-5 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2021 | Gárdony(home) | 0-0 | Friendlies Clubs |
| Dec 4, 2018 | Puskas Academy(home) | 0-6 | Magyar Kupa |
| Oct 31, 2018 | Dabas-Gyón(away) | 1-0 | Magyar Kupa |
| Sep 22, 2018 | Nagyatádi(away) | 2-1 | Magyar Kupa |
| Sep 20, 2017 | Gyöngyös(away) | 3-5 | Magyar Kupa |
How many goals should we expect?
Tiszaújváros score 1.9 and concede 1.4 goals per match over their last 15; Pénzügyőr score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tiszaújváros | 1.9 | 1.4 | 4 | 8/15 | 10/15 |
| Pénzügyőr | 1.7 | 2.3 | 3 | 6/10 | 7/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Tiszaújváros | 15 | 6 | 2 | 7 | 20 | 22 | 20 |
A question about Tiszaújváros vs Pénzügyőr?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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