Kazincbarcikai vs Vasas: result 2-1 and analysis
NB IIRegular Season - 15Kick-off on November 4, 2018 at 12:30 PM (UTC)Kolorcity Aréna, Kazincbarcika
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What was the result of Kazincbarcikai vs Vasas?
Kazincbarcikai won 2-1 on November 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kazincbarcikai have 6 wins, 5 draws and 4 defeats; Vasas have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2018 | Vasas(home) | 2-4 | Magyar Kupa |
| Oct 28, 2018 | Monori Se(away) | 2-1 | NB II |
| Oct 21, 2018 | Zalaegerszegi TE(home) | 1-1 | NB II |
| Oct 7, 2018 | Cegledi VSE(away) | 3-1 | NB II |
| Oct 3, 2018 | Budaorsi SC(home) | 4-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2018 | Kazincbarcikai(away) | 4-2 | Magyar Kupa |
| Oct 28, 2018 | Gyirmot SE(home) | 0-4 | NB II |
| Oct 21, 2018 | Soroksar(away) | 1-3 | NB II |
| Oct 7, 2018 | Dorogi FC(home) | 1-1 | NB II |
| Oct 3, 2018 | VAC(away) | 1-0 | NB II |
What does the head-to-head say?
In the last meeting: 0 Kazincbarcikai wins, 0 draws, 1 Vasas win.
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2018 | Kazincbarcikai 2-4 Vasas | Magyar Kupa |
Last archived meeting: Kazincbarcikai vs Vasas on Oct 31, 2018
How many goals should we expect?
Kazincbarcikai score 1.7 and concede 1.5 goals per match over their last 15; Vasas score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazincbarcikai | 1.7 | 1.5 | 6 | 9/15 | 10/15 |
| Vasas | 1.8 | 1.7 | 2 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Kazincbarcikai | 9 | 4 | 4 | 1 | 16 | 11 | 16 |
A question about Kazincbarcikai vs Vasas?
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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