Tatabánya vs Ajka: result 2-3 and analysis
NB IIRegular Season - 27Kick-off on May 10, 2014 at 03:30 PM (UTC)Grosics Gyula Stadion, Tatabánya
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What was the result of Tatabánya vs Ajka?
Ajka won 2-3 on May 10, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tatabánya have 2 wins, 5 draws and 8 defeats; Ajka have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2014 | Soproni VSE(away) | 1-3 | NB II |
| Apr 26, 2014 | Kozarmisleny FC(home) | 0-0 | NB II |
| Apr 19, 2014 | Cegledi VSE(away) | 0-1 | NB II |
| Apr 12, 2014 | SZTK-Erima(home) | 3-2 | NB II |
| Apr 5, 2014 | Zalaegerszegi TE(away) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2014 | Kozarmisleny FC(away) | 1-0 | NB II |
| Apr 26, 2014 | SZTK-Erima(home) | 0-0 | NB II |
| Apr 19, 2014 | Kisvarda FC(away) | 0-0 | NB II |
| Apr 12, 2014 | Siofok(home) | 4-1 | NB II |
| Apr 5, 2014 | Szolnoki MAV FC(away) | 0-1 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 1 Tatabánya win(s), 1 draw(s), 3 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2013 | Ajka 3-0 Tatabánya | NB II |
| Mar 3, 2013 | Tatabánya 1-3 Ajka | NB II |
| Aug 18, 2012 | Ajka 0-0 Tatabánya | NB II |
| Apr 7, 2012 | Ajka 1-0 Tatabánya | NB II |
| Oct 1, 2011 | Tatabánya 2-0 Ajka | NB II |
How many goals should we expect?
Tatabánya score 0.7 and concede 1.8 goals per match over their last 15; Ajka score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tatabánya | 0.7 | 1.8 | 2 | 6/15 | 7/15 |
| Ajka | 1.3 | 0.7 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
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