Volna vs Baranovichi: result 2-2 and analysis
1. DivisionMatchday 29Kick-off on November 4, 2017 at 11:00 AM (UTC)Stadyen Valna, Pinsk
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What was the result of Volna vs Baranovichi?
Volna and Baranovichi drew 2-2 on November 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volna have 8 wins, 1 draw and 6 defeats; Baranovichi have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Ynergetyk-BDU(away) | 1-1 | 1. Division |
| Oct 21, 2017 | Neman-Agro(home) | 2-0 | 1. Division |
| Oct 14, 2017 | Khimik Svetlogorsk(home) | 3-1 | 1. Division |
| Oct 7, 2017 | Lokomotiv Gomel(away) | 0-2 | 1. Division |
| Sep 30, 2017 | Torpedo Minsk(home) | 2-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Khimik Svetlogorsk(home) | 1-1 | 1. Division |
| Oct 21, 2017 | Lokomotiv Gomel(away) | 0-3 | 1. Division |
| Oct 14, 2017 | Torpedo Minsk(home) | 0-3 | 1. Division |
| Oct 7, 2017 | Lida(away) | 0-0 | 1. Division |
| Sep 30, 2017 | Osipovichy(home) | 1-1 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Volna wins, 0 draws, 1 Baranovichi win.
| Date | Score | Competition |
|---|---|---|
| Jul 15, 2017 | Baranovichi 3-0 Volna | 1. Division |
How many goals should we expect?
Volna score 1.6 and concede 1.2 goals per match over their last 15; Baranovichi score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volna | 1.6 | 1.2 | 5 | 5/15 | 7/15 |
| Baranovichi | 1.5 | 1.6 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Volna | 32 | 13 | 5 | 14 | 47 | 56 | 44 |
A question about Volna vs Baranovichi?
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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