Zabudova-2007 vs Neman-Agro: result 1-1 and analysis
2. DivisionRegular Season - 16Kick-off on August 28, 2016 at 02:00 PM (UTC)Stadyen Škol'nyj, Chist'
Full time
What was the result of Zabudova-2007 vs Neman-Agro?
Zabudova-2007 and Neman-Agro drew 1-1 on August 28, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zabudova-2007 have 7 wins, 2 draws and 6 defeats; Neman-Agro have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Kletsk(away) | 1-0 | 2. Division |
| Aug 14, 2016 | ML Vitebsk(home) | 3-0 | 2. Division |
| Aug 7, 2016 | YuA-Stroy-DYuSSh(home) | 3-0 | 2. Division |
| Jul 30, 2016 | Torpedo Mogilev(away) | 0-0 | 2. Division |
| Jul 24, 2016 | Viktoriya Maryina Horka(home) | 3-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Osipovichy(away) | 0-2 | 2. Division |
| Aug 7, 2016 | Molodechno-DYuSSh 4(away) | 1-4 | 2. Division |
| Jul 30, 2016 | Vertykal(home) | 6-0 | 2. Division |
| Jul 24, 2016 | Volna(away) | 1-5 | 2. Division |
| Jul 16, 2016 | Dyussh-DSK(away) | 2-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Zabudova-2007 wins, 0 draws, 1 Neman-Agro win.
| Date | Score | Competition |
|---|---|---|
| May 21, 2016 | Neman-Agro 3-2 Zabudova-2007 | 2. Division |
Last archived meeting: Neman-Agro vs Zabudova-2007 on May 21, 2016
How many goals should we expect?
Zabudova-2007 score 1.5 and concede 1.3 goals per match over their last 15; Neman-Agro score 2.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zabudova-2007 | 1.5 | 1.3 | 5 | 8/15 | 10/15 |
| Neman-Agro | 2.4 | 1.8 | 3 | 8/13 | 10/13 |
Over the last 15 matches in all competitions.
A question about Zabudova-2007 vs Neman-Agro?
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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