Match

Soroksar vs Gyirmot SE: result 4-2 and analysis

NB IIRegular Season - 25Kick-off on February 24, 2019 at 01:00 PM (UTC)Szamosi Mihály Sporttelep, Budapest

Soroksar
4-2
Gyirmot SE

Full time

What was the result of Soroksar vs Gyirmot SE?

Soroksar won 4-2 on February 24, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Soroksar have 7 wins, 4 draws and 4 defeats; Gyirmot SE have 9, 2 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Soroksar
DateOpponentScoreCompetition
Feb 20, 2019Andráshida(home)3-2Magyar Kupa
Feb 17, 2019Budafoki LC(home)0-1NB II
Feb 10, 2019Dorogi FC(away)2-0NB II
Feb 3, 2019VAC(home)3-0NB II
Dec 16, 2018Balmazujvaros(home)4-0NB II
Gyirmot SE
DateOpponentScoreCompetition
Feb 17, 2019Dorogi FC(home)3-1NB II
Feb 10, 2019VAC(away)1-1NB II
Feb 3, 2019Balmazujvaros(home)4-0NB II
Dec 16, 2018Tiszakecske FC(away)4-3NB II
Dec 9, 2018Kaposvar(home)0-1NB II

What does the head-to-head say?

Across the last 6 meetings: 1 Soroksar win, 1 draw, 4 Gyirmot SE wins.

DateScoreCompetition
Aug 29, 2018Gyirmot SE 0-3 SoroksarNB II
Mar 25, 2018Soroksar 1-2 Gyirmot SENB II
Sep 1, 2017Gyirmot SE 1-1 SoroksarNB II
Mar 5, 2016Gyirmot SE 1-0 SoroksarNB II
Aug 16, 2015Soroksar 0-3 Gyirmot SENB II
Apr 18, 2015Gyirmot SE 1-0 SoroksarNB II

Last archived meeting: Gyirmot SE vs Soroksar on Aug 29, 2018

How many goals should we expect?

Soroksar score 1.9 and concede 1.0 goals per match over their last 15; Gyirmot SE score 2.3 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Soroksar1.91.065/157/15
Gyirmot SE2.31.248/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Soroksar sit 1st in NB II (23 points from 10 matches) and Gyirmot SE sit 4th (19 points from 10 matches).

2026-27 standings
#ClubPWDLGFGAPts
1Soroksar10721261223
4Gyirmot SE10613161519

A question about Soroksar vs Gyirmot SE?

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

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