Babīte vs JDFS Alberts: result 0-3 and analysis
1. LigaRegular Season - 30Kick-off on November 5, 2016 at 12:00 PM (UTC)
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What was the result of Babīte vs JDFS Alberts?
JDFS Alberts won 0-3 on November 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Babīte have 14 wins, 0 draws and 1 defeat; JDFS Alberts 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 |
|---|---|---|---|
| Oct 29, 2016 | RTU(home) | 6-2 | 1. Liga |
| Oct 16, 2016 | Skonto(home) | 4-3 | 1. Liga |
| Oct 9, 2016 | Rēzekne FA(away) | 2-1 | 1. Liga |
| Oct 1, 2016 | Saldus / Brocēnu(away) | 3-0 | 1. Liga |
| Sep 24, 2016 | Valmiera / BSS(away) | 2-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Staiceles Bebri(away) | 0-2 | 1. Liga |
| Oct 22, 2016 | RTU(away) | 1-2 | 1. Liga |
| Oct 15, 2016 | Tukums(away) | 2-7 | 1. Liga |
| Oct 1, 2016 | Smiltene(away) | 1-4 | 1. Liga |
| Sep 24, 2016 | Skonto(home) | 2-0 | 1. Liga |
What does the head-to-head say?
In the last meeting: 1 Babīte win, 0 draws, 0 JDFS Alberts wins.
| Date | Score | Competition |
|---|---|---|
| Jul 23, 2016 | JDFS Alberts 0-3 Babīte | 1. Liga |
Last archived meeting: JDFS Alberts vs Babīte on Jul 23, 2016
How many goals should we expect?
Babīte score 4.4 and concede 0.9 goals per match over their last 15; JDFS Alberts score 1.1 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Babīte | 4.4 | 0.9 | 7 | 7/15 | 15/15 |
| JDFS Alberts | 1.1 | 2.5 | 4 | 8/15 | 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 Babīte vs JDFS Alberts?
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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