Kisvárda II vs Pénzügyőr: result 2-0 and analysis
NB III - NortheastKeleti - 2Kick-off on August 3, 2022 at 03:30 PM (UTC)Várkert Sportpálya, Kisvárda
Full time
What was the result of Kisvárda II vs Pénzügyőr?
Kisvárda II won 2-0 on August 3, 2022.
Goalscorers
- 18′Nikita GoncharKisvárda II
- 59′?Kisvárda II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kisvárda II have 7 wins, 3 draws and 5 defeats; Pénzügyőr have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2022 | Eger(home) | 4-0 | NB III - Northeast |
| May 29, 2022 | Tállya(home) | 3-0 | NB III - Northeast |
| May 22, 2022 | Újpest II(away) | 0-2 | NB III - Northeast |
| May 14, 2022 | Debrecen II(home) | 4-1 | NB III - Northeast |
| May 8, 2022 | Tiszafuredi VSE(home) | 4-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2022 | Tiszaújváros(away) | 3-0 | NB III - Northeast |
| 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 |
How many goals should we expect?
Kisvárda II score 1.9 and concede 1.2 goals per match over their last 15; Pénzügyőr score 1.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kisvárda II | 1.9 | 1.2 | 5 | 5/15 | 9/15 |
| Pénzügyőr | 1.8 | 2.1 | 4 | 6/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kisvárda II | 12 | 5 | 6 | 1 | 20 | 13 | 21 |
A question about Kisvárda II 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