Olympic vs Pakhtakor: prediction and stats
Super LeagueRegular Season - 1Kick-off on March 3, 2023 at 12:00 AM (UTC)Stadion Majmuasi (SOK Jar), Tashkent
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympic have 5 wins, 8 draws and 2 defeats; Pakhtakor have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Nasaf(home) | 2-0 | Super League |
| Nov 7, 2022 | Olmaliq(away) | 0-6 | Super League |
| Nov 2, 2022 | Metalourg(home) | 2-1 | Super League |
| Oct 25, 2022 | Navbahor(away) | 1-1 | Super League |
| Oct 17, 2022 | Lokomotiv(away) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 14, 2023 | Dynamo Kyiv(away) | 1-0 | Friendlies Clubs |
| Feb 13, 2023 | Dinamo Batumi(home) | 0-2 | Friendlies Clubs |
| Feb 8, 2023 | Shkupi 1927(away) | 4-1 | Friendlies Clubs |
| Feb 3, 2023 | Samgurali(away) | 1-0 | Friendlies Clubs |
| Jan 26, 2023 | Mladost Novi Sad(home) | 1-0 | Friendlies Clubs |
What does the head-to-head say?
Across the last 2 meetings: 0 Olympic wins, 2 draws, 0 Pakhtakor wins.
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2022 | Pakhtakor 1-1 Olympic | Super League |
| Mar 16, 2022 | Olympic 1-1 Pakhtakor | Super League |
How many goals should we expect?
Olympic score 1.5 and concede 1.3 goals per match over their last 15; Pakhtakor score 1.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympic | 1.5 | 1.3 | 3 | 11/15 | 6/15 |
| Pakhtakor | 1.8 | 0.9 | 7 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Pakhtakor | 23 | 15 | 7 | 1 | 42 | 21 | 52 |
A question about Olympic vs Pakhtakor?
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