Szeged-Csanád II vs Szolnoki MAV FC: result 1-2 and analysis
NB III - SoutheastSoutheast - 14Kick-off on November 4, 2023 at 12:00 PM (UTC)Szent Gellért Fórum, Szeged
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What was the result of Szeged-Csanád II vs Szolnoki MAV FC?
Szolnoki MAV FC won 1-2 on November 4, 2023.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Szeged-Csanád II have 1 wins, 3 draws and 9 defeats; Szolnoki MAV FC have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Bekescsaba 1912(home) | 1-2 | NB III - Southeast |
| Oct 22, 2023 | ESMTK(away) | 0-3 | NB III - Southeast |
| Oct 13, 2023 | BKV Előre(home) | 1-2 | NB III - Southeast |
| Oct 8, 2023 | Dabas(away) | 1-2 | NB III - Southeast |
| Sep 30, 2023 | Honvéd II(home) | 0-0 | NB III - Southeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2023 | Kecskeméti TE II(home) | 0-0 | NB III - Southeast |
| Oct 20, 2023 | Bekescsaba 1912(away) | 2-3 | NB III - Southeast |
| Oct 15, 2023 | Monori Se(home) | 3-1 | NB III - Southeast |
| Oct 8, 2023 | ESMTK(away) | 0-4 | NB III - Southeast |
| Oct 1, 2023 | Pénzügyőr(home) | 1-1 | NB III - Southeast |
How many goals should we expect?
Szeged-Csanád II score 0.8 and concede 1.5 goals per match over their last 13; Szolnoki MAV FC score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szeged-Csanád II | 0.8 | 1.5 | 2 | 7/13 | 7/13 |
| Szolnoki MAV FC | 1.5 | 1.7 | 4 | 10/15 | 10/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Szeged-Csanád II sit 2nd in NB III - Southeast (12 points from 4 matches) and Szolnoki MAV FC sit 7th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Szeged-Csanád II | 4 | 4 | 0 | 0 | 14 | 4 | 12 |
| 7 | Szolnoki MAV FC | 4 | 2 | 1 | 1 | 9 | 9 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy