Uzda vs Neman Mosty: result 3-0 and analysis
2. DivisionGroup B - 14Kick-off on July 27, 2014 at 09:00 AM (UTC)Stadyen Belita-Vitex, Teplen'
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What was the result of Uzda vs Neman Mosty?
Uzda won 3-0 on July 27, 2014.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Uzda have 8 wins, 3 draws and 2 defeats; Neman Mosty have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2014 | YuA-Stroy-DYuSSh(away) | 5-2 | 2. Division |
| Jul 16, 2014 | Kobrin(home) | 10-2 | 2. Division |
| Jul 12, 2014 | Kolos-Druzhba(away) | 3-2 | 2. Division |
| Jul 6, 2014 | Molodechno-DYuSSh 4(home) | 1-3 | 2. Division |
| Jun 29, 2014 | Kletsk(away) | 7-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2014 | Kobrin(home) | 2-3 | 2. Division |
| Jul 16, 2014 | Molodechno-DYuSSh 4(away) | 2-0 | 2. Division |
| Jul 12, 2014 | Torpedo Minsk(away) | 0-1 | 2. Division |
| Jul 6, 2014 | NFK Minsk(home) | 4-1 | 2. Division |
| Jun 29, 2014 | Partizan Minsk(away) | 3-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 Uzda win, 0 draws, 0 Neman Mosty wins.
| Date | Score | Competition |
|---|---|---|
| May 11, 2014 | Neman Mosty 1-2 Uzda | 2. Division |
How many goals should we expect?
Uzda score 3.4 and concede 1.6 goals per match over their last 13; Neman Mosty score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uzda | 3.4 | 1.6 | 1 | 12/13 | 12/13 |
| Neman Mosty | 1.7 | 1.3 | 3 | 10/15 | 10/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Neman Mosty | 10 | 3 | 3 | 4 | 15 | 22 | 12 |
A question about Uzda vs Neman Mosty?
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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