Rubikon vs VAST: prediction and stats
Druha LigaRegular Season - 15Kick-off on May 6, 2023 at 12:00 AM (UTC)Knyazha-Arena, Shchaslyve
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rubikon have 2 wins, 1 draw and 12 defeats; VAST have 4, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2022 | Metalurh Zaporizhya II(home) | 0-3 | Druha Liga |
| Oct 29, 2022 | Nyva Vinnytsya(away) | 0-4 | Druha Liga |
| Oct 23, 2022 | Nyva Buzova(away) | 0-5 | Druha Liga |
| Oct 20, 2022 | VAST(away) | 1-5 | Druha Liga |
| Oct 15, 2022 | Zvyahel(home) | 0-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Metalurh Zaporizhya II(home) | 2-0 | Druha Liga |
| Apr 23, 2023 | Nyva Vinnytsya(away) | 0-2 | Druha Liga |
| Apr 16, 2023 | Nyva Buzova(home) | 0-1 | Druha Liga |
| Apr 8, 2023 | Zvyahel(away) | 0-2 | Druha Liga |
| Nov 7, 2022 | Kremin' II(away) | 2-0 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Rubikon wins, 0 draws, 1 VAST win.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2022 | VAST 5-1 Rubikon | Druha Liga |
How many goals should we expect?
Rubikon score 0.7 and concede 3.3 goals per match over their last 15; VAST score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rubikon | 0.7 | 3.3 | 1 | 5/15 | 15/15 |
| VAST | 1.4 | 1.6 | 4 | 5/14 | 7/14 |
Over the last 15 matches in all competitions.
A question about Rubikon vs VAST?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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