Skanste vs Rīgas FS: result 0-2 and analysis
CupRound of 16Kick-off on August 9, 2021 at 10:30 AM (UTC)Hanzas vidusskolas laukums, Riga
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What was the result of Skanste vs Rīgas FS?
Rīgas FS won 0-2 on August 9, 2021.
Goalscorers
- 15′R. VarslavānsRīgas FS
- 63′R. VarslavānsRīgas FS
Official lineup for Skanste vs Rīgas FS
The starting elevens fielded at kick-off.
Skanste
- KK. Rēķis
- RR. Guliaks
- NNoa Meroža
- TT. Zants
- RR. Juhnovičs
- GGustavs Zariņš
- NN. Yamamoto
- KK. Vilnis
- NNiklāvs Treimanis
- AA. Kangars
- AA. Sorokins
Rīgas FS
- DD. Rakels
- KK. Friesenbichler
- CC. Kouadio
- AA. Zjuzins
- LLucas Villela
- AA. Jatta
- RR. Varslavāns
- EE. Stuglis
- VV. Sorokins
- PP. Mareš
- JJ. Ņerugals
What is the recent form of both teams?
Over their last 3 matches in all competitions, Skanste have 3 wins, 0 draws and 0 defeats; Rīgas FS have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 31, 2021 | JDFS Alberts(away) | 2-1 | Cup |
| Jul 17, 2021 | Tente(home) | 4-0 | Cup |
| Jul 3, 2021 | Gauja(home) | 5-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2021 | Gent(away) | 2-2 | UEFA Europa Conference League |
| Aug 1, 2021 | Metta / LU(home) | 4-1 | Virsliga |
| Jul 29, 2021 | Puskas Academy(away) | 2-0 | UEFA Europa Conference League |
| Jul 25, 2021 | Spartaks Jurmala(away) | 2-1 | Virsliga |
| Jul 22, 2021 | Puskas Academy(home) | 3-0 | UEFA Europa Conference League |
How many goals should we expect?
Skanste score 3.7 and concede 0.7 goals per match over their last 3; Rīgas FS score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skanste | 3.7 | 0.7 | 1 | 2/3 | 3/3 |
| Rīgas FS | 2.5 | 0.9 | 6 | 9/15 | 12/15 |
Over the last 3 matches in all competitions.
A question about Skanste vs Rīgas FS?
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