Torpedo Minsk vs Molodechno-DYuSSh 4: result 2-1 and analysis
2. DivisionGroup B · Matchday 9Kick-off on June 29, 2014 at 02:00 PM (UTC)Stadyen Tarpeda, Minsk
Full time
What was the result of Torpedo Minsk vs Molodechno-DYuSSh 4?
Torpedo Minsk won 2-1 on June 29, 2014.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Torpedo Minsk have 4 wins, 2 draws and 2 defeats; Molodechno-DYuSSh 4 have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2014 | Uzda(away) | 2-1 | 2. Division |
| Jun 15, 2014 | NFK Minsk(away) | 1-0 | 2. Division |
| Jun 7, 2014 | Partizan Minsk(home) | 0-0 | 2. Division |
| Jun 1, 2014 | YuA-Stroy-DYuSSh(away) | 3-0 | 2. Division |
| May 18, 2014 | Kolos-Druzhba(away) | 2-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2014 | NFK Minsk(home) | 4-5 | 2. Division |
| Jun 15, 2014 | Partizan Minsk(away) | 0-2 | 2. Division |
| Jun 7, 2014 | YuA-Stroy-DYuSSh(home) | 2-0 | 2. Division |
| Jun 1, 2014 | Kolos-Druzhba(away) | 7-0 | 2. Division |
| May 18, 2014 | Kletsk(home) | 0-3 | 2. Division |
How many goals should we expect?
Torpedo Minsk score 1.6 and concede 0.9 goals per match over their last 8; Molodechno-DYuSSh 4 score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Minsk | 1.6 | 0.9 | 3 | 4/8 | 5/8 |
| Molodechno-DYuSSh 4 | 1.5 | 2.2 | 3 | 9/15 | 10/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Torpedo Minsk | 16 | 8 | 5 | 3 | 33 | 35 | 29 |
A question about Torpedo Minsk vs Molodechno-DYuSSh 4?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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