RTU vs JDFS Alberts: result 3-1 and analysis
1. LigaRegular Season - 7Kick-off on May 27, 2017 at 01:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
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What was the result of RTU vs JDFS Alberts?
RTU won 3-1 on May 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, RTU have 8 wins, 0 draws and 7 defeats; JDFS Alberts have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Auda(away) | 4-2 | 1. Liga |
| May 13, 2017 | Grobiņa(home) | 0-2 | 1. Liga |
| May 6, 2017 | Preiļu BJSS(home) | 6-0 | 1. Liga |
| Apr 29, 2017 | Progress / AFA Olaine(home) | 1-0 | 1. Liga |
| Apr 22, 2017 | Ogre(away) | 0-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2017 | Tukums(home) | 0-1 | 1. Liga |
| May 14, 2017 | Smiltene(away) | 1-1 | 1. Liga |
| May 6, 2017 | Auda(away) | 1-4 | 1. Liga |
| Apr 29, 2017 | Grobiņa(home) | 0-0 | 1. Liga |
| Apr 22, 2017 | Preiļu BJSS(home) | 3-0 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 RTU win, 0 draws, 1 JDFS Alberts win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2016 | RTU 2-1 JDFS Alberts | 1. Liga |
| Jun 18, 2016 | JDFS Alberts 1-0 RTU | 1. Liga |
How many goals should we expect?
RTU score 2.7 and concede 1.9 goals per match over their last 15; JDFS Alberts score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RTU | 2.7 | 1.9 | 5 | 7/15 | 12/15 |
| JDFS Alberts | 1.1 | 2.1 | 5 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | JDFS Alberts | 22 | 12 | 4 | 6 | 44 | 31 | 40 |
A question about RTU vs JDFS Alberts?
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