Rodina Moskva II vs Tyumen: prediction and stats
Second League A - Division A SilverDivision A Silver - 1Kick-off on July 18, 2026 at 03:00 PM (UTC)Stadion Rodina, Khimki
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rodina Moskva II have 3 wins, 5 draws and 7 defeats; Tyumen have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2026 | Torpedo Miass(away) | 3-0 | Second League A - Division A Gold |
| Jun 7, 2026 | Tekstilshchik(home) | 0-2 | Second League A - Division A Gold |
| May 31, 2026 | Volgar Astrakhan(away) | 0-2 | Second League A - Division A Gold |
| May 27, 2026 | Kaluga(home) | 1-2 | Second League A - Division A Gold |
| May 23, 2026 | Mashuk-KMV(away) | 2-2 | Second League A - Division A Gold |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2026 | Alaniya Vladikavkaz(home) | 2-2 | Second League A - Division A Silver |
| Jun 6, 2026 | Urozhay(away) | 0-1 | Second League A - Division A Silver |
| May 30, 2026 | Zenit 2(away) | 1-2 | Second League A - Division A Silver |
| May 24, 2026 | Amkar(home) | 0-0 | Second League A - Division A Silver |
| May 20, 2026 | Dinamo Kirov(away) | 0-4 | Second League A - Division A Silver |
How many goals should we expect?
Rodina Moskva II score 1.2 and concede 1.5 goals per match over their last 15; Tyumen score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rodina Moskva II | 1.2 | 1.5 | 3 | 9/15 | 8/15 |
| Tyumen | 1.5 | 1.4 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tyumen | 12 | 7 | 1 | 4 | 24 | 16 | 22 |
A question about Rodina Moskva II vs Tyumen?
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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