Sényő Carnifex vs REAC: result 2-4 and analysis
NB III - NortheastNortheast - 5Kick-off on August 30, 2023 at 03:30 PM (UTC)Sényői Focipálya, Sényő
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What was the result of Sényő Carnifex vs REAC?
REAC won 2-4 on August 30, 2023.
Goalscorers
- 27′?REAC
- 34′V. KapacinaSényő Carnifex (pen.)
- 60′?Sényő Carnifex
- 62′?REAC (pen.)
- 68′K. KárászREAC
- 83′?REAC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sényő Carnifex have 6 wins, 5 draws and 4 defeats; REAC have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | Putnok VSE(away) | 1-3 | Magyar Kupa |
| Aug 19, 2023 | Újpest II(away) | 3-5 | NB III - Northeast |
| Aug 13, 2023 | FC Hatvan(home) | 1-1 | NB III - Northeast |
| Aug 5, 2023 | Berkenye(away) | 11-2 | Magyar Kupa |
| Aug 2, 2023 | Salgótarjáni BTC(away) | 1-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2023 | DEAC(home) | 1-2 | NB III - Northeast |
| Aug 13, 2023 | Kisvárda II(away) | 0-4 | NB III - Northeast |
| Aug 2, 2023 | Gyöngyös(away) | 2-1 | NB III - Northeast |
| Jul 30, 2023 | Újpest II(home) | 2-2 | NB III - Northeast |
| Jul 22, 2023 | BKV Előre(home) | 1-1 | Friendlies Clubs |
How many goals should we expect?
Sényő Carnifex score 2.4 and concede 1.9 goals per match over their last 15; REAC score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sényő Carnifex | 2.4 | 1.9 | 1 | 13/15 | 11/15 |
| REAC | 1.5 | 1.9 | 3 | 9/15 | 10/15 |
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 Sényő Carnifex vs REAC?
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