Balmazujvaros vs Ajka: result 1-1 and analysis
NB IIRegular Season - 20Kick-off on March 23, 2014 at 02:00 PM (UTC)Balmazújvárosi Városi Sportpálya, Balmazújváros
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What was the result of Balmazujvaros vs Ajka?
Balmazujvaros and Ajka drew 1-1 on March 23, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Balmazujvaros have 7 wins, 4 draws and 4 defeats; Ajka have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2014 | Kozarmisleny FC(away) | 1-1 | NB II |
| Mar 9, 2014 | SZTK-Erima(home) | 2-1 | NB II |
| Mar 1, 2014 | Kisvarda FC(away) | 1-1 | NB II |
| Dec 1, 2013 | Siofok(home) | 2-2 | NB II |
| Nov 24, 2013 | Szolnoki MAV FC(home) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2014 | Soproni VSE(home) | 0-0 | NB II |
| Mar 8, 2014 | Cegledi VSE(home) | 1-0 | NB II |
| Mar 1, 2014 | Zalaegerszegi TE(home) | 1-1 | NB II |
| Nov 30, 2013 | Nyiregyhaza(away) | 0-1 | NB II |
| Nov 23, 2013 | Vasas(away) | 5-1 | NB II |
What does the head-to-head say?
In the last meeting: 0 Balmazujvaros wins, 0 draws, 1 Ajka win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2013 | Ajka 3-2 Balmazujvaros | NB II |
Last archived meeting: Ajka vs Balmazujvaros on Sep 14, 2013
How many goals should we expect?
Balmazujvaros score 1.8 and concede 1.5 goals per match over their last 15; Ajka score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balmazujvaros | 1.8 | 1.5 | 4 | 11/15 | 9/15 |
| Ajka | 1.6 | 1.3 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 9 | 4 | 3 | 2 | 13 | 11 | 15 |
A question about Balmazujvaros vs Ajka?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy