PKKU vs NJS: result 1-1 and analysis
Kakkonen - Lohko BRegular Season - 11Kick-off on June 22, 2015 at 03:30 PM (UTC)Kalevan Urheilupuisto nurmi, Kerava
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What was the result of PKKU vs NJS?
PKKU and NJS drew 1-1 on June 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PKKU have 6 wins, 3 draws and 6 defeats; NJS have 3, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2015 | I-Kissat(away) | 0-1 | Kakkonen - Lohko B |
| Jun 14, 2015 | Vaajakoski(away) | 1-1 | Kakkonen - Lohko B |
| Jun 9, 2015 | I-Kissat(home) | 2-3 | Kakkonen - Lohko B |
| Jun 1, 2015 | Honka(home) | 0-3 | Kakkonen - Lohko B |
| May 22, 2015 | Gnistan(away) | 0-1 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2015 | Gnistan(home) | 1-1 | Kakkonen - Lohko B |
| Jun 14, 2015 | TPV(away) | 1-7 | Kakkonen - Lohko B |
| Jun 7, 2015 | KäPa(home) | 2-3 | Kakkonen - Lohko B |
| Jun 1, 2015 | Atlantis(away) | 1-1 | Kakkonen - Lohko B |
| May 23, 2015 | Vaajakoski(away) | 3-0 | Kakkonen - Lohko B |
What does the head-to-head say?
In the last meeting: 1 PKKU win, 0 draws, 0 NJS wins.
| Date | Score | Competition |
|---|---|---|
| May 2, 2015 | NJS 1-3 PKKU | Kakkonen - Lohko B |
How many goals should we expect?
PKKU score 1.4 and concede 1.3 goals per match over their last 15; NJS score 1.2 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PKKU | 1.4 | 1.3 | 4 | 6/15 | 8/15 |
| NJS | 1.2 | 2.7 | 2 | 8/14 | 8/14 |
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 PKKU vs NJS?
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