Szolnoki MAV FC vs Siofok: result 3-2 and analysis
NB IIRegular Season - 12Kick-off on November 1, 2014 at 02:00 PM (UTC)Tiszaligeti Stadion, Szolnok
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What was the result of Szolnoki MAV FC vs Siofok?
Szolnoki MAV FC won 3-2 on November 1, 2014.
Goalscorers
- 10′Robert ZsolnaiSzolnoki MAV FC
- 25′A. FritzSzolnoki MAV FC
- 58′Richárd KozmaSiofok
- 78′Janos KovacsSiofok
- 90′István NagySzolnoki MAV FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 10 wins, 3 draws and 2 defeats; Siofok have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 5, 2014 | Balmazujvaros(away) | 3-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2014 | Soproni VSE(home) | 1-2 | NB II |
| Oct 18, 2014 | Bekescsaba 1912(away) | 0-1 | NB II |
| Oct 12, 2014 | Csakvar(home) | 2-2 | NB II |
| Oct 4, 2014 | Kaposvar(away) | 3-1 | NB II |
| Sep 30, 2014 | Cegledi VSE(home) | 2-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 0 Szolnoki MAV FC win(s), 1 draw(s), 1 Siofok win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2014 | Szolnoki MAV FC 1-2 Siofok | NB II |
| Aug 30, 2013 | Siofok 2-2 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Siofok on Mar 8, 2014
How many goals should we expect?
Szolnoki MAV FC score 2.1 and concede 1.3 goals per match over their last 15; Siofok score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 2.1 | 1.3 | 4 | 10/15 | 11/15 |
| Siofok | 1.7 | 1.8 | 2 | 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