Didube 2014 vs Saburtalo II: result 1-1 and analysis
Liga 3Regular Season - 9Kick-off on May 3, 2026 at 12:00 PM (UTC)
Full time
What was the result of Didube 2014 vs Saburtalo II?
Didube 2014 and Saburtalo II drew 1-1 on May 3, 2026.
Goalscorers
- 48′S. KverenchkhiladzeDidube 2014 (o.g.)
- 73′540504Saburtalo II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Didube 2014 have 6 wins, 5 draws and 4 defeats; Saburtalo II have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2026 | Lokomotivi Tbilisi(away) | 2-1 | Liga 3 |
| Apr 24, 2026 | Iveria Khashuri(home) | 0-0 | Liga 3 |
| Apr 16, 2026 | Iberia 2010(away) | 4-1 | Liga 3 |
| Apr 8, 2026 | Kolkheti Khobi(home) | 3-0 | Liga 3 |
| Apr 2, 2026 | Margveti 2006(away) | 1-1 | Liga 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2026 | Irao(home) | 2-1 | Liga 3 |
| Apr 24, 2026 | WIT Georgia(away) | 1-2 | Liga 3 |
| Apr 20, 2026 | Guria(home) | 2-1 | Liga 3 |
| Apr 16, 2026 | Varketili(home) | 1-1 | Liga 3 |
| Apr 8, 2026 | Dinamo Tbilisi II(away) | 1-0 | Liga 3 |
How many goals should we expect?
Didube 2014 score 1.7 and concede 1.3 goals per match over their last 15; Saburtalo II score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Didube 2014 | 1.7 | 1.3 | 6 | 8/15 | 9/15 |
| Saburtalo II | 1.4 | 1.1 | 4 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Didube 2014 sit 9th in Liga 3 (35 points from 25 matches) and Saburtalo II sit 3rd (46 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Saburtalo II | 25 | 12 | 10 | 3 | 45 | 23 | 46 |
| 9 | Didube 2014 | 25 | 9 | 8 | 8 | 39 | 36 | 35 |
A question about Didube 2014 vs Saburtalo II?
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