Volna vs Shakhtyor Petrikov: result 3-2 and analysis
Friendlies ClubsClub Friendlies 5Kick-off on March 5, 2022 at 10:00 AM (UTC)Stadyen Valna, Pinsk
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What was the result of Volna vs Shakhtyor Petrikov?
Volna won 3-2 on March 5, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volna have 7 wins, 6 draws and 2 defeats; Shakhtyor Petrikov have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2021 | Arsenal(away) | 0-0 | 1. Division |
| Nov 21, 2021 | Baranovichi(home) | 2-0 | 1. Division |
| Nov 14, 2021 | NFK Minsk(away) | 1-1 | 1. Division |
| Nov 7, 2021 | Lida(home) | 2-0 | 1. Division |
| Oct 30, 2021 | Slonim(away) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2022 | FC Isloch Minsk R.(away) | 1-3 | Friendlies Clubs |
| Nov 27, 2021 | NFK Minsk(home) | 2-3 | 1. Division |
| Nov 21, 2021 | Slonim(away) | 1-0 | 1. Division |
| Nov 13, 2021 | FC Dnepr Mogilev(home) | 3-2 | 1. Division |
| Nov 7, 2021 | Naftan(away) | 3-0 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Volna win(s), 1 draw(s), 2 Shakhtyor Petrikov win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | Volna 2-2 Shakhtyor Petrikov | 1. Division |
| Jul 11, 2021 | Shakhtyor Petrikov 1-0 Volna | 1. Division |
| Apr 25, 2021 | Volna 1-2 Shakhtyor Petrikov | 1. Division |
Last archived meeting: Volna vs Shakhtyor Petrikov on Sep 26, 2021
How many goals should we expect?
Volna score 1.5 and concede 1.1 goals per match over their last 15; Shakhtyor Petrikov score 1.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volna | 1.5 | 1.1 | 6 | 8/15 | 7/15 |
| Shakhtyor Petrikov | 1.6 | 1.8 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
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
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