Soroksar vs Szolnoki MAV FC: result 0-2 and analysis
NB IIRegular Season - 1Kick-off on August 1, 2015 at 03:30 PM (UTC)Szamosi Mihály Sporttelep, Budapest
Full time
What was the result of Soroksar vs Szolnoki MAV FC?
Szolnoki MAV FC won 0-2 on August 1, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soroksar have 3 wins, 4 draws and 8 defeats; Szolnoki MAV FC have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Szolnoki MAV FC(away) | 3-2 | NB II |
| May 23, 2015 | Bekescsaba 1912(away) | 0-2 | NB II |
| May 16, 2015 | Kaposvar(away) | 3-1 | NB II |
| May 9, 2015 | Ajka(home) | 2-1 | NB II |
| May 3, 2015 | Balmazujvaros(away) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2015 | Soroksar(home) | 2-3 | NB II |
| May 23, 2015 | Szeged 2011(away) | 1-2 | NB II |
| May 16, 2015 | SZTK-Erima(home) | 1-0 | NB II |
| May 9, 2015 | Siofok(away) | 4-0 | NB II |
| May 2, 2015 | Bekescsaba 1912(away) | 0-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 Soroksar win(s), 1 draw(s), 0 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| May 31, 2015 | Szolnoki MAV FC 2-3 Soroksar | NB II |
| Nov 22, 2014 | Soroksar 2-2 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Soroksar on May 31, 2015
How many goals should we expect?
Soroksar score 0.9 and concede 1.3 goals per match over their last 15; Szolnoki MAV FC score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soroksar | 0.9 | 1.3 | 1 | 8/15 | 5/15 |
| Szolnoki MAV FC | 1.2 | 1.5 | 3 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 5 | 4 | 1 | 0 | 11 | 4 | 13 |
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