Monori Se vs Soroksar: result 0-2 and analysis
NB IIRegular Season - 31Kick-off on April 7, 2019 at 02:30 PM (UTC)Balassi Bálint utcai stadion, Monor
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What was the result of Monori Se vs Soroksar?
Soroksar won 0-2 on April 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Monori Se have 2 wins, 4 draws and 9 defeats; Soroksar have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2019 | Dorogi FC(home) | 2-2 | NB II |
| Mar 17, 2019 | VAC(away) | 2-1 | NB II |
| Mar 10, 2019 | Balmazujvaros(home) | 2-1 | NB II |
| Mar 6, 2019 | Tiszakecske FC(away) | 0-1 | NB II |
| Mar 3, 2019 | Kaposvar(home) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2019 | Puskas Academy(home) | 2-2 | Magyar Kupa |
| Mar 31, 2019 | Zalaegerszegi TE(away) | 0-3 | NB II |
| Mar 17, 2019 | Cegledi VSE(home) | 2-1 | NB II |
| Mar 13, 2019 | Puskas Academy(away) | 1-1 | Magyar Kupa |
| Mar 10, 2019 | Budaorsi SC(away) | 1-0 | NB II |
What does the head-to-head say?
In the last meeting: 0 Monori Se wins, 0 draws, 1 Soroksar win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2018 | Soroksar 2-1 Monori Se | NB II |
How many goals should we expect?
Monori Se score 1.1 and concede 1.9 goals per match over their last 15; Soroksar score 1.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Monori Se | 1.1 | 1.9 | 0 | 10/15 | 10/15 |
| Soroksar | 1.9 | 1.1 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 9 | 6 | 2 | 1 | 25 | 12 | 20 |
A question about Monori Se vs Soroksar?
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