Dinamo Brest vs Sputnik: prediction and stats
Premier LeagueRegular Season - 16Kick-off on July 16, 2021 at 03:45 PM (UTC)Stadyen DASK Brestski, Brest
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Brest have 3 wins, 10 draws and 2 defeats; Sputnik have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2021 | Naftan(away) | 2-2 | Coppa |
| Jul 4, 2021 | Ruh Brest(home) | 1-1 | Premier League |
| Jun 26, 2021 | Shakhter Soligorsk(away) | 1-1 | Premier League |
| Jun 18, 2021 | Smorgon(home) | 2-2 | Premier League |
| Jun 13, 2021 | FC Isloch Minsk R.(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2021 | FC Slutsk(away) | 2-3 | Premier League |
| Jun 28, 2021 | FC Vitebsk(home) | 4-3 | Premier League |
| Jun 23, 2021 | Partizan Salihorsk(away) | 2-2 | Coppa |
| Jun 19, 2021 | Torpedo Zhodino(away) | 0-2 | Premier League |
| Jun 12, 2021 | Dinamo Minsk(home) | 0-5 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Dinamo Brest win(s), 0 draw(s), 0 Sputnik win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2021 | Sputnik 0-4 Dinamo Brest | Premier League |
Last archived meeting: Sputnik vs Dinamo Brest on Mar 14, 2021
How many goals should we expect?
Dinamo Brest score 0.9 and concede 0.8 goals per match over their last 15; Sputnik score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Brest | 0.9 | 0.8 | 5 | 8/15 | 2/15 |
| Sputnik | 0.9 | 2.3 | 1 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dinamo Brest | 19 | 9 | 4 | 6 | 31 | 18 | 31 |
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