Molodechno-DYuSSh 4 vs NFK Minsk: result 4-5 and analysis
2. DivisionGroup B - 8Kick-off on June 22, 2014 at 03:00 PM (UTC)Stadyen Haradski, Slutsk
Full time
What was the result of Molodechno-DYuSSh 4 vs NFK Minsk?
NFK Minsk won 4-5 on June 22, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 3 wins, 2 draws and 10 defeats; NFK Minsk have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 10, 2014 | Livadyya(away) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2014 | Torpedo Minsk(home) | 0-1 | 2. Division |
| Jun 7, 2014 | Uzda(away) | 1-2 | 2. Division |
| Jun 1, 2014 | Partizan Minsk(away) | 4-3 | 2. Division |
| May 18, 2014 | YuA-Stroy-DYuSSh(away) | 4-1 | 2. Division |
| May 11, 2014 | Kolos-Druzhba(away) | 2-2 | 2. Division |
How many goals should we expect?
Molodechno-DYuSSh 4 score 1.5 and concede 2.1 goals per match over their last 15; NFK Minsk score 2.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 1.5 | 2.1 | 3 | 9/15 | 10/15 |
| NFK Minsk | 2.7 | 1.4 | 1 | 5/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2023 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | NFK Minsk | 16 | 11 | 2 | 3 | 61 | 25 | 35 |
A question about Molodechno-DYuSSh 4 vs NFK Minsk?
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