Csakvar vs Soroksar: result 4-1 and analysis
NB IIRegular Season - 2Kick-off on August 8, 2015 at 05:00 PM (UTC)Tersztyánszky Ödön Sportközpont, Csákvár
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What was the result of Csakvar vs Soroksar?
Csakvar won 4-1 on August 8, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Csakvar have 6 wins, 2 draws and 7 defeats; Soroksar have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2015 | Kisvarda FC(away) | 4-3 | NB II |
| May 31, 2015 | Ajka(away) | 4-3 | NB II |
| May 22, 2015 | Balmazujvaros(home) | 1-3 | NB II |
| May 16, 2015 | Vasas(away) | 0-6 | NB II |
| May 8, 2015 | Gyirmot SE(home) | 3-4 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2015 | Szolnoki MAV FC(home) | 0-2 | NB II |
| May 31, 2015 | Szolnoki MAV FC(away) | 3-2 | NB II |
| May 23, 2015 | Bekescsaba 1912(away) | 0-2 | NB II |
| May 16, 2015 | Kaposvar(away) | 3-1 | NB II |
| May 9, 2015 | Ajka(home) | 2-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 2 Csakvar win(s), 0 draw(s), 0 Soroksar win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 28, 2015 | Soroksar 1-4 Csakvar | NB II |
| Sep 19, 2014 | Csakvar 2-0 Soroksar | NB II |
How many goals should we expect?
Csakvar score 1.7 and concede 2.3 goals per match over their last 15; Soroksar score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Csakvar | 1.7 | 2.3 | 2 | 9/15 | 10/15 |
| Soroksar | 0.9 | 1.5 | 0 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Csakvar sit 13th in NB II (3 points from 5 matches) and Soroksar sit 1st (13 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 5 | 4 | 1 | 0 | 11 | 4 | 13 |
| 13 | Csakvar | 5 | 1 | 0 | 4 | 6 | 10 | 3 |
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