Dinamo Rīga vs JFK Ventspils: prediction and stats
1. LigaRegular Season - 23Kick-off on October 21, 2023 at 11:00 AM (UTC)RTU stadions, Riga
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Rīga have 6 wins, 2 draws and 7 defeats; JFK Ventspils have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Tukums II(home) | 3-4 | 1. Liga |
| Oct 1, 2023 | Saldus SS/Leevon(away) | 0-0 | 1. Liga |
| Sep 23, 2023 | Smiltene(home) | 1-1 | 1. Liga |
| Sep 17, 2023 | Progress / AFA Olaine(away) | 4-0 | 1. Liga |
| Sep 2, 2023 | Skanste(home) | 1-4 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Rīgas FS II(home) | 1-0 | 1. Liga |
| Sep 30, 2023 | Tukums II(away) | 1-1 | 1. Liga |
| Sep 23, 2023 | Valmiera II(home) | 0-0 | 1. Liga |
| Sep 16, 2023 | Saldus SS/Leevon(away) | 1-0 | 1. Liga |
| Sep 2, 2023 | Grobiņa(home) | 0-2 | 1. Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Dinamo Rīga win(s), 0 draw(s), 1 JFK Ventspils win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 1, 2023 | JFK Ventspils 1-0 Dinamo Rīga | 1. Liga |
Last archived meeting: JFK Ventspils vs Dinamo Rīga on Jul 1, 2023
How many goals should we expect?
Dinamo Rīga score 1.7 and concede 2.5 goals per match over their last 15; JFK Ventspils score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Rīga | 1.7 | 2.5 | 4 | 8/15 | 11/15 |
| JFK Ventspils | 0.6 | 1.1 | 5 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | JFK Ventspils | 9 | 1 | 3 | 5 | 11 | 17 | 6 |
| 12 | JFK Ventspils | 16 | 2 | 5 | 9 | 18 | 28 | 11 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy