ML Vitebsk vs Feniks: result 1-1 and analysis
2. DivisionGroup A - 9Kick-off on July 4, 2015 at 02:00 PM (UTC)Stadyen DYuSSh-1, Rohachev
Full time
What was the result of ML Vitebsk vs Feniks?
ML Vitebsk and Feniks drew 1-1 on July 4, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ML Vitebsk have 3 wins, 2 draws and 10 defeats; Feniks have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Osipovichy(away) | 0-2 | 2. Division |
| Jun 20, 2015 | Torpedo Mogilev(home) | 2-3 | 2. Division |
| Jun 13, 2015 | Molodechno-DYuSSh 4(away) | 1-2 | 2. Division |
| Jun 6, 2015 | Priozerie(home) | 2-1 | 2. Division |
| May 30, 2015 | Victoria Maryina Gorka(away) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Zhlobin(home) | 1-1 | 2. Division |
| Jun 20, 2015 | Oshmyany(away) | 2-1 | 2. Division |
| Jun 13, 2015 | Spartak(home) | 0-3 | 2. Division |
| Jun 6, 2015 | Victoria Maryina Gorka(home) | 0-0 | 2. Division |
| May 30, 2015 | Osipovichy(away) | 1-2 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 ML Vitebsk wins, 1 draw, 1 Feniks win.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2014 | Feniks 2-0 ML Vitebsk | 2. Division |
| May 11, 2014 | ML Vitebsk 1-1 Feniks | 2. Division |
How many goals should we expect?
ML Vitebsk score 1.0 and concede 1.8 goals per match over their last 15; Feniks score 0.6 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ML Vitebsk | 1.0 | 1.8 | 2 | 7/15 | 7/15 |
| Feniks | 0.6 | 2.2 | 1 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about ML Vitebsk vs Feniks?
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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