Szolnoki MAV FC vs Dabas: result 4-0 and analysis
NB III - NorthwestKözép - 33Kick-off on April 23, 2023 at 03:00 PM (UTC)Tiszaligeti Stadion, Szolnok
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What was the result of Szolnoki MAV FC vs Dabas?
Szolnoki MAV FC won 4-0 on April 23, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 5 wins, 5 draws and 5 defeats; Dabas have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2023 | PTE-PEAC(away) | 0-0 | NB III - Northwest |
| Apr 12, 2023 | Hódmezővásárhely(home) | 0-0 | NB III - Northwest |
| Apr 9, 2023 | Cegledi VSE(away) | 1-0 | NB III - Northwest |
| Apr 2, 2023 | Kecskeméti TE II(home) | 0-1 | NB III - Northwest |
| Mar 29, 2023 | Újpest II(away) | 5-0 | NB III - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2023 | Hódmezővásárhely(away) | 0-1 | NB III - Northwest |
| Apr 12, 2023 | Kecskeméti TE II(home) | 2-3 | NB III - Northwest |
| Apr 9, 2023 | Majosi(away) | 0-2 | NB III - Northwest |
| Apr 2, 2023 | Honvéd II(home) | 1-3 | NB III - Northwest |
| Mar 29, 2023 | Dunaújváros-Pálhalma(away) | 2-2 | NB III - Northwest |
What does the head-to-head say?
In the last meeting: 0 Szolnoki MAV FC wins, 1 draw, 0 Dabas wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2022 | Dabas 0-0 Szolnoki MAV FC | NB III - Northwest |
Last archived meeting: Dabas vs Szolnoki MAV FC on Oct 22, 2022
How many goals should we expect?
Szolnoki MAV FC score 1.1 and concede 1.3 goals per match over their last 15; Dabas score 0.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.1 | 1.3 | 7 | 4/15 | 5/15 |
| Dabas | 0.5 | 2.5 | 0 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Szolnoki MAV FC vs Dabas?
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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