VJS vs NJS: result 2-1 and analysis
Kakkonen - Lohko ARegular Season - 15Kick-off on August 10, 2019 at 02:00 PM (UTC)Myyrmäen jalkapallostadion, Vantaa
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What was the result of VJS vs NJS?
VJS won 2-1 on August 10, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, VJS have 2 wins, 3 draws and 9 defeats; NJS have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | JäPS(home) | 0-1 | Kakkonen - Lohko A |
| Jul 13, 2019 | Reipas(away) | 0-1 | Kakkonen - Lohko A |
| Jul 7, 2019 | Sudet(away) | 1-4 | Kakkonen - Lohko A |
| Jun 25, 2019 | Kiffen(home) | 1-0 | Kakkonen - Lohko A |
| Jun 19, 2019 | MP(home) | 0-1 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Klubi-04(home) | 3-1 | Kakkonen - Lohko A |
| Jul 27, 2019 | PEPO(home) | 0-2 | Kakkonen - Lohko A |
| Jul 13, 2019 | JäPS(away) | 0-5 | Kakkonen - Lohko A |
| Jul 6, 2019 | Reipas(away) | 1-1 | Kakkonen - Lohko A |
| Jun 29, 2019 | Sudet(home) | 2-0 | Kakkonen - Lohko A |
What does the head-to-head say?
In the last meeting: 0 VJS wins, 0 draws, 1 NJS win.
| Date | Score | Competition |
|---|---|---|
| May 30, 2019 | NJS 1-0 VJS | Kakkonen - Lohko A |
How many goals should we expect?
VJS score 1.0 and concede 1.9 goals per match over their last 14; NJS score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VJS | 1.0 | 1.9 | 2 | 6/14 | 8/14 |
| NJS | 1.0 | 1.5 | 3 | 6/15 | 4/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | VJS | 18 | 13 | 3 | 2 | 54 | 18 | 42 |
A question about VJS vs NJS?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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