Match

Xankəndi FK vs Səbail: result 1-1 and analysis

Birinci DastaRegular Season - 1Kick-off on September 3, 2026 at 01:00 PM (UTC)

Xankəndi FK
1-1
Səbail

Full time

What was the result of Xankəndi FK vs Səbail?

Xankəndi FK and Səbail drew 1-1 on September 3, 2026.

Goalscorers

  • 13′658879Səbail
  • 33′585788Xankəndi FK

What had the model predicted before the match?

Before kick-off, the Footlab AI model gave a Səbail win at 48%: prediction missed. Most likely score announced: 1-1. Actual score: 1-1.

Computed by the Footlab AI model from our own data only, with no AI analysis.

What is the recent form of both teams?

Over their last 2 matches in all competitions, Xankəndi FK have 1 win, 0 draws and 1 defeat; Səbail have 8, 4 and 3.

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

Xankəndi FK
DateOpponentScoreCompetition
Oct 29, 2025Difai Ağsu(home)1-2Cup
Oct 10, 2025Hypers Guba(away)2-1Cup
Səbail
DateOpponentScoreCompetition
May 22, 2026Mingəçevir(away)1-4Birinci Dasta
May 15, 2026Şahdağ(home)0-0Birinci Dasta
May 6, 2026Zaqatala(away)3-0Birinci Dasta
Apr 30, 2026Cəbrayıl(home)6-0Birinci Dasta
Apr 23, 2026Difai Ağsu(away)4-0Birinci Dasta

How many goals should we expect?

Xankəndi FK score 1.5 and concede 1.5 goals per match over their last 2; Səbail score 1.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Xankəndi FK1.51.502/22/2
Səbail1.90.7104/158/15

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

Xankəndi FK sit 7th in Birinci Dasta (6 points from 7 matches) and Səbail sit 5th (12 points from 7 matches).

2026-27 standings
#ClubPWDLGFGAPts
5Səbail733110712
7Xankəndi FK7133586

A question about Xankəndi FK vs Səbail?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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