Uzda vs Krutogorye: result 3-3 and analysis
2. DivisionGroup B - 17Kick-off on September 12, 2015 at 11:00 AM (UTC)Stadyen Belita-Vitex, Teplen'
Full time
What was the result of Uzda vs Krutogorye?
Uzda and Krutogorye drew 3-3 on September 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uzda have 11 wins, 4 draws and 0 defeats; Krutogorye have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Kolos-Druzhba(away) | 2-1 | 2. Division |
| Aug 29, 2015 | YuA-Stroy-DYuSSh(home) | 7-1 | 2. Division |
| Aug 22, 2015 | Volna(away) | 2-2 | 2. Division |
| Aug 15, 2015 | Lyuban'(home) | 5-0 | 2. Division |
| Aug 8, 2015 | Vertykal(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Torpedo Minsk(away) | 1-2 | 2. Division |
| Aug 29, 2015 | Kolos-Druzhba(home) | 0-3 | 2. Division |
| Aug 22, 2015 | YuA-Stroy-DYuSSh(away) | 1-5 | 2. Division |
| Aug 15, 2015 | Volna(home) | 0-0 | 2. Division |
| Aug 8, 2015 | Lyuban'(away) | 0-4 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Uzda win, 0 draws, 0 Krutogorye wins.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | Krutogorye 1-2 Uzda | 2. Division |
How many goals should we expect?
Uzda score 2.8 and concede 0.7 goals per match over their last 15; Krutogorye score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzda | 2.8 | 0.7 | 7 | 8/15 | 10/15 |
| Krutogorye | 1.1 | 2.2 | 3 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Uzda vs Krutogorye?
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