Kisvarda FC vs Paks: result 0-0 and analysis
NB IRegular Season - 21Kick-off on February 16, 2019 at 04:00 PM (UTC)Várkerti Stadion, Kisvárda
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What was the result of Kisvarda FC vs Paks?
Kisvarda FC and Paks drew 0-0 on February 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kisvarda FC have 7 wins, 2 draws and 6 defeats; Paks have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2019 | Debreceni VSC(home) | 3-0 | NB I |
| Feb 2, 2019 | Szombathelyi Haladas(away) | 1-0 | NB I |
| Dec 15, 2018 | MTK Budapest(home) | 1-0 | NB I |
| Dec 8, 2018 | Diosgyori VTK(away) | 1-1 | NB I |
| Dec 4, 2018 | Szentlőrinc SE(away) | 4-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2019 | Szombathelyi Haladas(home) | 1-1 | NB I |
| Feb 2, 2019 | MTK Budapest(away) | 2-1 | NB I |
| Dec 15, 2018 | Diosgyori VTK(home) | 1-2 | NB I |
| Dec 8, 2018 | Puskas Academy(away) | 1-1 | NB I |
| Dec 5, 2018 | Siofok(away) | 1-1 | Magyar Kupa |
What does the head-to-head say?
Across the last 1 meetings: 0 Kisvarda FC win(s), 0 draw(s), 1 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2018 | Paks 4-1 Kisvarda FC | NB I |
How many goals should we expect?
Kisvarda FC score 1.5 and concede 1.5 goals per match over their last 15; Paks score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kisvarda FC | 1.5 | 1.5 | 6 | 7/15 | 9/15 |
| Paks | 1.5 | 1.3 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kisvarda FC sit 8th in NB I (5 points from 5 matches) and Paks sit 6th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Paks | 5 | 2 | 1 | 2 | 12 | 12 | 7 |
| 8 | Kisvarda FC | 5 | 1 | 2 | 2 | 6 | 7 | 5 |
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