ESMTK vs Szeged-Csanád II: result 3-0 and analysis
NB III - SoutheastSoutheast - 12Kick-off on October 22, 2023 at 11:00 AM (UTC)ESMTK Stadion, Budapest
Full time
What was the result of ESMTK vs Szeged-Csanád II?
ESMTK won 3-0 on October 22, 2023.
Goalscorers
- 37′?ESMTK (pen.)
- 60′?ESMTK
- 72′?ESMTK
What is the recent form of both teams?
Over their last 15 matches in all competitions, ESMTK have 11 wins, 2 draws and 2 defeats; Szeged-Csanád II have 1, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Bekescsaba 1912(away) | 2-1 | NB III - Southeast |
| Oct 8, 2023 | Szolnoki MAV FC(home) | 4-0 | NB III - Southeast |
| Oct 1, 2023 | BKV Előre(home) | 1-0 | NB III - Southeast |
| Sep 24, 2023 | Dabas(away) | 6-0 | NB III - Southeast |
| Sep 16, 2023 | Fehérvár FC(home) | 1-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 24, 2023 | Martfűi LSE(away) | 1-2 | NB III - Southeast |
| Sep 9, 2023 | Füzesgyarmati(home) | 4-2 | NB III - Southeast |
How many goals should we expect?
ESMTK score 2.7 and concede 0.9 goals per match over their last 15; Szeged-Csanád II score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ESMTK | 2.7 | 0.9 | 7 | 7/15 | 12/15 |
| Szeged-Csanád II | 0.8 | 1.4 | 2 | 6/11 | 5/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
ESMTK sit 6th in NB III - Southeast (7 points from 4 matches) and Szeged-Csanád II sit 2nd (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Szeged-Csanád II | 4 | 4 | 0 | 0 | 14 | 4 | 12 |
| 6 | ESMTK | 4 | 2 | 1 | 1 | 8 | 5 | 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