JDFS Alberts vs RTU: result 2-1 and analysis
1. LigaRegular Season - 20Kick-off on September 16, 2017 at 01:00 PM (UTC)Upesciems pilsētas stadions, Upesciems
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What was the result of JDFS Alberts vs RTU?
JDFS Alberts won 2-1 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JDFS Alberts have 4 wins, 2 draws and 9 defeats; RTU have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2017 | Tukums(away) | 1-0 | 1. Liga |
| Sep 2, 2017 | Smiltene(home) | 1-2 | 1. Liga |
| Aug 26, 2017 | Auda(home) | 1-0 | 1. Liga |
| Aug 19, 2017 | Grobiņa(away) | 0-1 | 1. Liga |
| Aug 12, 2017 | Preiļu BJSS(away) | 1-0 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Auda(home) | 2-3 | 1. Liga |
| Aug 26, 2017 | Preiļu BJSS(away) | 1-2 | 1. Liga |
| Aug 19, 2017 | Progress / AFA Olaine(away) | 1-4 | 1. Liga |
| Aug 13, 2017 | BFC Daugavpils(home) | 0-2 | 1. Liga |
| Aug 5, 2017 | Rēzekne FA(away) | 1-3 | 1. Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 JDFS Alberts win, 0 draws, 2 RTU wins.
| Date | Score | Competition |
|---|---|---|
| May 27, 2017 | RTU 3-1 JDFS Alberts | 1. Liga |
| 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?
JDFS Alberts score 0.9 and concede 1.8 goals per match over their last 15; RTU score 1.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JDFS Alberts | 0.9 | 1.8 | 4 | 8/15 | 7/15 |
| RTU | 1.8 | 2.5 | 2 | 10/15 | 11/15 |
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 JDFS Alberts vs RTU?
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