Match

Khalidiya vs Nasaf: result 0-0 and analysis

AFC Champions League TwoGroup Stage - 1Kick-off on September 16, 2026 at 04:00 PM (UTC)

Khalidiya
0-0
Nasaf

Full time

What was the result of Khalidiya vs Nasaf?

Khalidiya and Nasaf drew 0-0 on September 16, 2026.

What had the model predicted before the match?

Before kick-off, the Footlab AI model gave a Nasaf win at 38%: prediction missed. Most likely score announced: 1-1. Actual score: 0-0.

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 15 matches in all competitions, Khalidiya have 12 wins, 2 draws and 1 defeat; Nasaf have 5, 4 and 6.

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

Khalidiya
DateOpponentScoreCompetition
Sep 10, 2026Al Riffa(away)0-0Premier League
Sep 4, 2026A'Ali(home)3-1Premier League
Aug 27, 2026Al Najma(away)7-2Premier League
May 16, 2026Al Najma(away)3-1Premier League
May 11, 2026Muharraq(home)1-2Premier League
Nasaf
DateOpponentScoreCompetition
Sep 9, 2026Bunyodkor(home)3-0Super League
Sep 4, 2026Neftchi(home)6-2Super League
Aug 30, 2026Navbahor(away)0-1Cup
Aug 26, 2026Qizilqum(away)0-1Super League
Aug 21, 2026Navbahor(away)0-1Super League

How many goals should we expect?

Khalidiya score 2.4 and concede 0.9 goals per match over their last 15; Nasaf score 1.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khalidiya2.40.9510/1511/15
Nasaf1.51.148/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Khalidiya sit 2nd in AFC Champions League Two (1 point from 1 match) and Nasaf sit 3rd (1 point from 1 match).

2026 standings
#ClubPWDLGFGAPts
2Khalidiya1010001
3Nasaf1010001

A question about Khalidiya vs Nasaf?

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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