Shturmi vs Betlemi: result 6-0 and analysis
Liga 3Regular Season - 24Kick-off on October 23, 2025 at 04:00 PM (UTC)
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What was the result of Shturmi vs Betlemi?
Shturmi won 6-0 on October 23, 2025.
Goalscorers
- 5′I. LekvtadzeShturmi
- 48′L. GogitadzeShturmi
- 56′I. LekvtadzeShturmi
- 61′L. KemoklidzeShturmi
- 84′D. KardavaShturmi
- 90′606544Shturmi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shturmi have 8 wins, 5 draws and 2 defeats; Betlemi have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2025 | Merani Tbilisi(away) | 0-3 | Liga 3 |
| Oct 9, 2025 | Gori(home) | 2-2 | Liga 3 |
| Oct 2, 2025 | Irao(away) | 1-0 | Liga 3 |
| Sep 25, 2025 | Kolkheti Khobi(home) | 2-0 | Liga 3 |
| Sep 18, 2025 | WIT Georgia(away) | 2-1 | Liga 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2025 | Aragvi Dusheti(home) | 3-5 | Liga 3 |
| Oct 9, 2025 | Margveti 2006(away) | 1-2 | Liga 3 |
| Oct 2, 2025 | Didube 2014(home) | 1-2 | Liga 3 |
| Sep 25, 2025 | Bakhmaro(away) | 4-0 | Liga 3 |
| Sep 18, 2025 | Borjomi(home) | 2-2 | Liga 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Shturmi win(s), 0 draw(s), 0 Betlemi win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2025 | Betlemi 0-3 Shturmi | Liga 3 |
How many goals should we expect?
Shturmi score 2.4 and concede 0.8 goals per match over their last 15; Betlemi score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shturmi | 2.4 | 0.8 | 7 | 7/15 | 9/15 |
| Betlemi | 1.7 | 1.7 | 3 | 10/15 | 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 | Betlemi | 18 | 2 | 4 | 12 | 10 | 41 | 10 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy