Pénzügyőr vs Sényő Carnifex: result 3-1 and analysis
NB III - NortheastKeleti - 10Kick-off on September 28, 2022 at 02:00 PM (UTC)Pénzügyőr SE Sporttelep, Budapest
Full time
What was the result of Pénzügyőr vs Sényő Carnifex?
Pénzügyőr won 3-1 on September 28, 2022.
Goalscorers
- 33′Akos BíróPénzügyőr (pen.)
- 65′?Pénzügyőr
- 71′?Pénzügyőr
- 90′K. KapacinaSényő Carnifex
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pénzügyőr have 8 wins, 2 draws and 5 defeats; Sényő Carnifex have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2022 | Tiszafuredi VSE(away) | 2-1 | NB III - Northeast |
| Sep 11, 2022 | Diósgyőr II(home) | 2-0 | NB III - Northeast |
| Sep 4, 2022 | Vasas II(away) | 0-3 | NB III - Northeast |
| Aug 31, 2022 | Debrecen II(home) | 2-0 | NB III - Northeast |
| Aug 21, 2022 | Füzesgyarmati(away) | 0-2 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2022 | Eger(home) | 1-0 | NB III - Northeast |
| Sep 11, 2022 | Hajdúszoboszlói SE(away) | 1-3 | NB III - Northeast |
| Sep 4, 2022 | BVSC(home) | 0-3 | NB III - Northeast |
| Aug 31, 2022 | DEAC(away) | 0-3 | NB III - Northeast |
| Aug 21, 2022 | Körösladány(home) | 0-0 | NB III - Northeast |
How many goals should we expect?
Pénzügyőr score 1.9 and concede 2.0 goals per match over their last 15; Sényő Carnifex score 0.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pénzügyőr | 1.9 | 2.0 | 5 | 6/15 | 9/15 |
| Sényő Carnifex | 0.9 | 2.0 | 3 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Sényő Carnifex | 30 | 7 | 7 | 16 | 32 | 74 | 28 |
A question about Pénzügyőr vs Sényő Carnifex?
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