Gyirmot SE vs Bajai: result 1-0 and analysis
NB IIRegular Season - 23Kick-off on April 20, 2013 at 04:00 PM (UTC)Alcufer Stadion, Győr
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What was the result of Gyirmot SE vs Bajai?
Gyirmot SE won 1-0 on April 20, 2013.
Goalscorers
- 31′Jozsef MagasfoldiGyirmot SE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gyirmot SE have 7 wins, 3 draws and 5 defeats; Bajai have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2013 | BKV Előre(away) | 2-1 | NB II |
| Apr 13, 2013 | Soproni VSE(away) | 0-1 | NB II |
| Apr 10, 2013 | Veszprém(away) | 4-0 | NB II |
| Apr 6, 2013 | Puskas Academy(home) | 0-1 | NB II |
| Mar 23, 2013 | Kaposvári Rákóczi FC II(home) | 3-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | Gyori ETO II(home) | 2-1 | NB II |
| Apr 10, 2013 | Csakvar(home) | 0-4 | NB II |
| Apr 7, 2013 | Paksi SE II(away) | 2-0 | NB II |
| Mar 29, 2013 | Szombathelyi Haladás II(home) | 2-3 | NB II |
| Mar 23, 2013 | Kozarmisleny FC(away) | 0-3 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 0 Gyirmot SE win(s), 0 draw(s), 3 Bajai win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2012 | Bajai 3-1 Gyirmot SE | NB II |
| Apr 7, 2012 | Gyirmot SE 1-3 Bajai | NB II |
| Oct 1, 2011 | Bajai 4-1 Gyirmot SE | NB II |
How many goals should we expect?
Gyirmot SE score 1.9 and concede 1.4 goals per match over their last 15; Bajai score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gyirmot SE | 1.9 | 1.4 | 2 | 11/15 | 11/15 |
| Bajai | 1.1 | 2.7 | 1 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Gyirmot SE | 5 | 3 | 1 | 1 | 9 | 8 | 10 |
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