Match

FC Hatvan vs Cegledi VSE: result 4-1 and analysis

NB III - NortheastKeleti - 20Kick-off on November 29, 2020 at 12:00 PM (UTC)Népkert-Sporttelep, Hatvan

FC Hatvan

4-1

Cegledi VSE

Full time

What was the result of FC Hatvan vs Cegledi VSE?

FC Hatvan won 4-1 on November 29, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Hatvan have 4 wins, 1 draws and 10 defeats; Cegledi VSE have 5, 3 and 7.

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

FC Hatvan
Date	Opponent	Score	Competition
Nov 22, 2020	Kisvárda II(home)	0-1	NB III - Northeast
Nov 14, 2020	Sajóbábony Vegyész(away)	4-0	NB III - Northeast
Nov 1, 2020	Debrecen II(away)	0-1	NB III - Northeast
Oct 25, 2020	Diósgyőr II(home)	2-3	NB III - Northeast
Oct 18, 2020	Jászberényi Vasas(away)	2-3	NB III - Northeast

Cegledi VSE
Date	Opponent	Score	Competition
Nov 22, 2020	Tállya(away)	2-0	NB III - Northeast
Nov 14, 2020	Putnok VSE(home)	1-0	NB III - Northeast
Nov 8, 2020	Sényő Carnifex(away)	0-0	NB III - Northeast
Nov 1, 2020	BVSC(home)	1-2	NB III - Northeast
Oct 28, 2020	Ajka(home)	0-1	Magyar Kupa

What does the head-to-head say?

Across the last 3 meetings: 0 FC Hatvan win(s), 0 draw(s), 3 Cegledi VSE win(s).

Date	Score	Competition
Aug 2, 2020	Cegledi VSE 1-0 FC Hatvan	NB III - Northeast
Nov 10, 2019	Cegledi VSE 3-1 FC Hatvan	NB III - Northeast
Sep 23, 2018	FC Hatvan 0-1 Cegledi VSE	Magyar Kupa

Last archived meeting: Cegledi VSE vs FC Hatvan on Aug 2, 2020

How many goals should we expect?

FC Hatvan score 1.4 and concede 2.1 goals per match over their last 15; Cegledi VSE score 1.3 and concede 1.1.

Club	Goals scored / match	Goals conceded / match	Clean sheets	Both teams scored	Over 2.5 goals
FC Hatvan	1.4	2.1	3	7/15	10/15
Cegledi VSE	1.3	1.1	5	6/15	7/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#	Club	P	W	D	L	GF	GA	Pts
16	FC Hatvan	30	5	1	24	37	81	16

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