VPS II vs KajHa: result 0-2 and analysis
Kakkonen - Lohko CRegular Season - 20Kick-off on September 21, 2019 at 12:00 PM (UTC)Palosaaren jalkapallokenttä, Vaasa
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What was the result of VPS II vs KajHa?
KajHa won 0-2 on September 21, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VPS II have 1 win, 1 draw and 13 defeats; KajHa have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | KuFu-98(away) | 2-2 | Kakkonen - Lohko C |
| Sep 1, 2019 | OLS(home) | 1-2 | Kakkonen - Lohko C |
| Aug 26, 2019 | RoPS II(away) | 1-7 | Kakkonen - Lohko C |
| Aug 18, 2019 | JBK(home) | 0-5 | Kakkonen - Lohko C |
| Aug 10, 2019 | PK-37(home) | 1-0 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2019 | PK-37(home) | 2-3 | Kakkonen - Lohko C |
| Aug 31, 2019 | Vaajakoski(away) | 3-5 | Kakkonen - Lohko C |
| Aug 25, 2019 | GBK(home) | 2-2 | Kakkonen - Lohko C |
| Aug 17, 2019 | JS Hercules(away) | 1-0 | Kakkonen - Lohko C |
| Aug 10, 2019 | VIFK(home) | 2-0 | Kakkonen - Lohko C |
What does the head-to-head say?
In the last meeting: 1 VPS II win, 0 draws, 0 KajHa wins.
| Date | Score | Competition |
|---|---|---|
| May 5, 2019 | KajHa 1-3 VPS II | Kakkonen - Lohko C |
How many goals should we expect?
VPS II score 0.6 and concede 3.4 goals per match over their last 15; KajHa score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VPS II | 0.6 | 3.4 | 1 | 7/15 | 13/15 |
| KajHa | 1.3 | 2.5 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | VPS II | 18 | 7 | 4 | 7 | 47 | 36 | 25 |
A question about VPS II vs KajHa?
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