KajHa vs JBK: result 2-2 and analysis
Kakkonen - Lohko CRegular Season - 3Kick-off on May 18, 2019 at 02:00 PM (UTC)Kajaanin liikuntapuisto, Kajaani
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What was the result of KajHa vs JBK?
KajHa and JBK drew 2-2 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KajHa have 4 wins, 3 draws and 8 defeats; JBK have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2019 | KuFu-98(away) | 0-6 | Kakkonen - Lohko C |
| May 5, 2019 | VPS II(home) | 1-3 | Kakkonen - Lohko C |
| Oct 7, 2017 | Honka Akatemia(away) | 1-5 | Suomen Cup |
| Sep 30, 2017 | VIFK(home) | 2-2 | Kakkonen - Lohko C |
| Sep 21, 2017 | OTP(away) | 2-3 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Vaajakoski(home) | 7-1 | Kakkonen - Lohko C |
| May 5, 2019 | OLS(home) | 1-0 | Kakkonen - Lohko C |
| Sep 29, 2018 | VIFK(home) | 1-5 | Kakkonen - Lohko C |
| Sep 22, 2018 | SJK Akatemia(away) | 0-6 | Kakkonen - Lohko C |
| Sep 16, 2018 | Tampere United(home) | 1-0 | Kakkonen - Lohko C |
What does the head-to-head say?
Across the last 2 meetings: 0 KajHa wins, 1 draw, 1 JBK win.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2017 | JBK 4-0 KajHa | Kakkonen - Lohko C |
| May 6, 2017 | KajHa 0-0 JBK | Kakkonen - Lohko C |
How many goals should we expect?
KajHa score 1.1 and concede 2.1 goals per match over their last 15; JBK score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KajHa | 1.1 | 2.1 | 3 | 8/15 | 10/15 |
| JBK | 1.8 | 1.7 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | JBK | 18 | 10 | 1 | 7 | 37 | 24 | 31 |
A question about KajHa vs JBK?
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