SMI Autotrans vs Sputnik: result 0-3 and analysis
2. DivisionRegular Season - 16Kick-off on August 19, 2017 at 02:00 PM (UTC)Stadyen FLC Oktyabrsky, Oktyabrsky
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What was the result of SMI Autotrans vs Sputnik?
Sputnik won 0-3 on August 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SMI Autotrans have 5 wins, 2 draws and 8 defeats; Sputnik have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | Čist́(away) | 0-1 | 2. Division |
| Aug 5, 2017 | Energosbyt-BSATU(home) | 4-2 | 2. Division |
| Jul 15, 2017 | Uzda(home) | 1-4 | 2. Division |
| Jul 8, 2017 | Viktoriya Maryina Horka(away) | 0-1 | 2. Division |
| Jul 1, 2017 | Molodechno-DYuSSh 4(home) | 1-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | YuA-Stroy-DYuSSh(away) | 0-2 | 2. Division |
| Aug 5, 2017 | Kletsk(away) | 5-1 | 2. Division |
| Jul 15, 2017 | SDJuShOR-3(away) | 6-1 | 2. Division |
| Jul 8, 2017 | Lyuban'(home) | 2-1 | 2. Division |
| Jul 1, 2017 | Sbornaya TF(away) | 5-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 SMI Autotrans wins, 1 draw, 0 Sputnik wins.
| Date | Score | Competition |
|---|---|---|
| May 7, 2017 | Sputnik 0-0 SMI Autotrans | 2. Division |
Last archived meeting: Sputnik vs SMI Autotrans on May 7, 2017
How many goals should we expect?
SMI Autotrans score 1.6 and concede 2.2 goals per match over their last 15; Sputnik score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SMI Autotrans | 1.6 | 2.2 | 5 | 8/15 | 10/15 |
| Sputnik | 2.0 | 1.1 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about SMI Autotrans vs Sputnik?
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