Segesta Sisak vs Varteks Varaždin: result 4-0 and analysis
Second NLRegular Season - 15Kick-off on November 29, 2025 at 12:30 PM (UTC)Gradski stadion, Sisak
Full time
What was the result of Segesta Sisak vs Varteks Varaždin?
Segesta Sisak won 4-0 on November 29, 2025.
Goalscorers
- 19′L. KozicSegesta Sisak (pen.)
- 27′M. BrkicSegesta Sisak
- 41′I. JajaloSegesta Sisak
- 90′618434Segesta Sisak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Segesta Sisak have 7 wins, 1 draw and 7 defeats; Varteks Varaždin have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2025 | Hrvatski Dragovoljac(away) | 0-0 | Second NL |
| Nov 15, 2025 | Solin(home) | 1-3 | Second NL |
| Nov 7, 2025 | Mladost Ždralovi(away) | 2-1 | Second NL |
| Oct 31, 2025 | Uljanik(home) | 2-1 | Second NL |
| Oct 25, 2025 | Trnje(away) | 3-2 | Second NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2025 | Dakovo-Croatia(away) | 1-2 | Second NL |
| Nov 8, 2025 | Jadran LP(home) | 2-1 | Second NL |
| Nov 2, 2025 | Lucko(home) | 2-3 | Second NL |
| Oct 29, 2025 | NK Lokomotiva Zagreb(away) | 0-4 | Cup |
| Oct 24, 2025 | Hrvatski Dragovoljac(away) | 3-1 | Second NL |
How many goals should we expect?
Segesta Sisak score 1.4 and concede 1.8 goals per match over their last 15; Varteks Varaždin score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Segesta Sisak | 1.4 | 1.8 | 3 | 8/15 | 10/15 |
| Varteks Varaždin | 1.5 | 1.5 | 4 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Varteks Varaždin | 9 | 2 | 2 | 5 | 8 | 14 | 8 |
A question about Segesta Sisak vs Varteks Varaždin?
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