NJS vs Vaajakoski: result 0-3 and analysis
Kakkonen - Lohko BRegular Season - 24Kick-off on September 12, 2015 at 01:00 PM (UTC)Klaukkala nurmi, Nurmijärvi
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What was the result of NJS vs Vaajakoski?
Vaajakoski won 0-3 on September 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NJS have 1 win, 3 draws and 11 defeats; Vaajakoski have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2015 | I-Kissat(home) | 1-1 | Kakkonen - Lohko B |
| Aug 29, 2015 | JäPS(away) | 0-1 | Kakkonen - Lohko B |
| Aug 22, 2015 | Honka(away) | 0-2 | Kakkonen - Lohko B |
| Aug 15, 2015 | PKKU(home) | 2-4 | Kakkonen - Lohko B |
| Aug 8, 2015 | Gnistan(away) | 0-5 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Atlantis(away) | 1-1 | Kakkonen - Lohko B |
| Aug 29, 2015 | Honka(home) | 0-4 | Kakkonen - Lohko B |
| Aug 21, 2015 | I-Kissat(away) | 2-2 | Kakkonen - Lohko B |
| Aug 15, 2015 | JäPS(home) | 1-0 | Kakkonen - Lohko B |
| Aug 8, 2015 | TPV(home) | 1-1 | Kakkonen - Lohko B |
What does the head-to-head say?
Across the last 2 meetings: 1 NJS win, 0 draws, 1 Vaajakoski win.
| Date | Score | Competition |
|---|---|---|
| Jul 18, 2015 | Vaajakoski 2-0 NJS | Kakkonen - Lohko B |
| May 23, 2015 | Vaajakoski 0-3 NJS | Kakkonen - Lohko B |
How many goals should we expect?
NJS score 0.9 and concede 3.1 goals per match over their last 15; Vaajakoski score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NJS | 0.9 | 3.1 | 0 | 9/15 | 8/15 |
| Vaajakoski | 1.1 | 1.1 | 5 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | NJS | 18 | 0 | 1 | 17 | 10 | 54 | 1 |
A question about NJS vs Vaajakoski?
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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