MTE 1904 vs Csakvar: result 1-3 and analysis
NB IIRegular Season - 22Kick-off on February 25, 2018 at 01:00 PM (UTC)Wittmann Antal park, Mosonmagyaróvár
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What was the result of MTE 1904 vs Csakvar?
Csakvar won 1-3 on February 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTE 1904 have 4 wins, 5 draws and 6 defeats; Csakvar have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2017 | Siofok(away) | 2-2 | NB II |
| Dec 3, 2017 | Kisvarda FC(home) | 1-2 | NB II |
| Nov 26, 2017 | Zalaegerszegi TE(home) | 3-1 | NB II |
| Nov 19, 2017 | Gyori ETO FC(away) | 2-1 | NB II |
| Nov 12, 2017 | Gyirmot SE(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2017 | Soproni VSE(home) | 1-1 | NB II |
| Dec 3, 2017 | MTK Budapest(away) | 1-3 | NB II |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 MTE 1904 win, 2 draws, 0 Csakvar wins.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2017 | Csakvar 1-1 MTE 1904 | NB II |
| May 28, 2017 | Csakvar 1-1 MTE 1904 | NB II |
| Nov 27, 2016 | MTE 1904 4-1 Csakvar | NB II |
How many goals should we expect?
MTE 1904 score 1.0 and concede 1.5 goals per match over their last 15; Csakvar score 1.4 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTE 1904 | 1.0 | 1.5 | 5 | 8/15 | 8/15 |
| Csakvar | 1.4 | 1.7 | 5 | 7/15 | 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 MTE 1904 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