JDFS Alberts vs Beitar: result 6-0 and analysis
1. LigaRegular Season - 5Kick-off on May 6, 2023 at 02:00 PM (UTC)RTU stadions, Riga
Full time
What was the result of JDFS Alberts vs Beitar?
JDFS Alberts won 6-0 on May 6, 2023.
Goalscorers
- 24′?JDFS Alberts
- 45′?JDFS Alberts
- 47′Dāvis IndrānsJDFS Alberts
- 57′?JDFS Alberts
- 78′?JDFS Alberts
- 90′?JDFS Alberts
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 8 wins, 4 draws and 3 defeats; Beitar have 1, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2023 | Dinamo Rīga(away) | 6-0 | 1. Liga |
| Apr 23, 2023 | Tukums II(home) | 3-3 | 1. Liga |
| Apr 15, 2023 | Saldus SS/Leevon(home) | 1-1 | 1. Liga |
| Apr 8, 2023 | Smiltene(home) | 1-2 | 1. Liga |
| Mar 4, 2023 | FS Jelgava(away) | 0-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2023 | Rīgas FS II(away) | 0-5 | 1. Liga |
| Apr 21, 2023 | Valmiera II(away) | 0-1 | 1. Liga |
| Apr 15, 2023 | Grobiņa(home) | 0-3 | 1. Liga |
| Apr 11, 2023 | Riga FC II(away) | 0-4 | 1. Liga |
| Jun 12, 2022 | FS Jelgava(home) | 1-8 | Cup |
How many goals should we expect?
JDFS Alberts score 1.7 and concede 0.7 goals per match over their last 15; Beitar score 0.8 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 1.7 | 0.7 | 8 | 5/15 | 5/15 |
| Beitar | 0.8 | 3.7 | 0 | 2/6 | 5/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about JDFS Alberts vs Beitar?
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