Sbornaya TF vs SDJuShOR-3: result 6-3 and analysis
2. DivisionRegular Season - 15Kick-off on August 12, 2017 at 03:00 PM (UTC)
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What was the result of Sbornaya TF vs SDJuShOR-3?
Sbornaya TF won 6-3 on August 12, 2017.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sbornaya TF have 3 wins, 3 draws and 8 defeats; SDJuShOR-3 have 2, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2017 | Lyuban'(away) | 2-3 | 2. Division |
| Jul 22, 2017 | Lyuban'(home) | 3-0 | 2. Division |
| Jul 15, 2017 | SDJuShOR-8(home) | 3-2 | 2. Division |
| Jul 8, 2017 | Oshmyany(away) | 0-9 | 2. Division |
| Jul 1, 2017 | Sputnik(home) | 1-5 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2017 | Oshmyany(home) | 1-6 | 2. Division |
| Jul 22, 2017 | Viktoriya Maryina Horka(home) | 0-2 | 2. Division |
| Jul 19, 2017 | Čist́(away) | 0-12 | 2. Division |
| Jul 15, 2017 | Sputnik(home) | 1-6 | 2. Division |
| Jul 2, 2017 | Energosbyt-BSATU(home) | 0-4 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Sbornaya TF wins, 0 draws, 1 SDJuShOR-3 win.
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2017 | SDJuShOR-3 4-2 Sbornaya TF | 2. Division |
Last archived meeting: SDJuShOR-3 vs Sbornaya TF on Apr 30, 2017
How many goals should we expect?
Sbornaya TF score 1.2 and concede 2.7 goals per match over their last 14; SDJuShOR-3 score 0.6 and concede 3.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sbornaya TF | 1.2 | 2.7 | 4 | 8/14 | 9/14 |
| SDJuShOR-3 | 0.6 | 3.8 | 1 | 3/14 | 11/14 |
Over the last 14 matches in all competitions.
A question about Sbornaya TF vs SDJuShOR-3?
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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