MTK Budapest vs Csakvar: result 3-1 and analysis
NB IIRegular Season - 20Kick-off on December 3, 2017 at 02:00 PM (UTC)Hidegkuti Nándor Stadion, Budapest
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What was the result of MTK Budapest vs Csakvar?
MTK Budapest won 3-1 on December 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest have 12 wins, 0 draws and 3 defeats; Csakvar have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2017 | Gyirmot SE(home) | 2-1 | Magyar Kupa |
| Nov 26, 2017 | Siofok(home) | 3-1 | NB II |
| Nov 19, 2017 | Kisvarda FC(away) | 0-1 | NB II |
| Nov 12, 2017 | Zalaegerszegi TE(home) | 2-0 | NB II |
| Nov 5, 2017 | Gyori ETO FC(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2017 | Paks(home) | 0-1 | Magyar Kupa |
| Nov 26, 2017 | Szeged 2011(away) | 1-0 | NB II |
| Nov 19, 2017 | Kazincbarcikai(home) | 2-1 | NB II |
| Nov 12, 2017 | Soroksar(away) | 0-0 | NB II |
| Nov 5, 2017 | Dorogi FC(home) | 2-2 | NB II |
What does the head-to-head say?
In the last meeting: 1 MTK Budapest win, 0 draws, 0 Csakvar wins.
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2017 | Csakvar 1-2 MTK Budapest | NB II |
Last archived meeting: Csakvar vs MTK Budapest on Jul 30, 2017
How many goals should we expect?
MTK Budapest score 3.1 and concede 0.9 goals per match over their last 15; Csakvar score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest | 3.1 | 0.9 | 6 | 8/15 | 11/15 |
| Csakvar | 1.3 | 1.9 | 5 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Csakvar | 9 | 1 | 1 | 7 | 9 | 21 | 4 |
A question about MTK Budapest vs Csakvar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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