SZTK-Erima vs Szolnoki MAV FC: result 1-2 and analysis
NB IIRegular Season - 13Kick-off on November 8, 2014 at 12:30 PM (UTC)Sport utcai stadion, Szigetszentmiklós
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What was the result of SZTK-Erima vs Szolnoki MAV FC?
Szolnoki MAV FC won 1-2 on November 8, 2014.
Goalscorers
- 44′István NagySzolnoki MAV FC
- 76′Tamás Hevesi-TóthSZTK-Erima
- 87′B. VáriSzolnoki MAV FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, SZTK-Erima have 6 wins, 4 draws and 5 defeats; Szolnoki MAV FC have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Bekescsaba 1912(home) | 0-1 | NB II |
| Oct 25, 2014 | Kaposvar(home) | 0-3 | NB II |
| Oct 18, 2014 | Ajka(away) | 1-2 | NB II |
| Oct 12, 2014 | Balmazujvaros(home) | 1-0 | NB II |
| Oct 4, 2014 | Vasas(away) | 1-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Siofok(home) | 3-2 | NB II |
| Oct 29, 2014 | MTK Budapest(home) | 2-1 | Magyar Kupa |
| Oct 24, 2014 | Bekescsaba 1912(home) | 1-2 | NB II |
| Oct 18, 2014 | Kaposvar(away) | 2-1 | NB II |
| Oct 12, 2014 | Ajka(home) | 1-0 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 SZTK-Erima win(s), 1 draw(s), 0 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 22, 2014 | Szolnoki MAV FC 1-1 SZTK-Erima | NB II |
| Sep 14, 2013 | SZTK-Erima 1-0 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs SZTK-Erima on Mar 22, 2014
How many goals should we expect?
SZTK-Erima score 1.0 and concede 1.1 goals per match over their last 15; Szolnoki MAV FC score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SZTK-Erima | 1.0 | 1.1 | 6 | 7/15 | 6/15 |
| Szolnoki MAV FC | 2.1 | 1.4 | 4 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
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