JS Hercules vs KajHa: result 1-0 and analysis
Kakkonen - Lohko CRegular Season - 18Kick-off on September 1, 2017 at 03:30 PM (UTC)Oulu-lehti Areena, Oulu
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What was the result of JS Hercules vs KajHa?
JS Hercules won 1-0 on September 1, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JS Hercules have 5 wins, 1 draw and 9 defeats; KajHa have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | KuFu-98(away) | 2-4 | Kakkonen - Lohko C |
| Aug 17, 2017 | TP-47(home) | 3-2 | Kakkonen - Lohko C |
| Aug 11, 2017 | PK-37(home) | 4-1 | Kakkonen - Lohko C |
| Aug 6, 2017 | Villiketut(away) | 1-2 | Kakkonen - Lohko C |
| Jul 29, 2017 | Kraft(home) | 1-4 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2017 | PK-37(home) | 2-1 | Kakkonen - Lohko C |
| Aug 19, 2017 | Villiketut(away) | 2-0 | Kakkonen - Lohko C |
| Aug 13, 2017 | Kraft(home) | 0-0 | Kakkonen - Lohko C |
| Aug 6, 2017 | GBK(away) | 1-2 | Kakkonen - Lohko C |
| Jul 29, 2017 | AC Kajaani(home) | 0-2 | Kakkonen - Lohko C |
What does the head-to-head say?
In the last meeting: 0 JS Hercules wins, 0 draws, 1 KajHa win.
| Date | Score | Competition |
|---|---|---|
| Jun 17, 2017 | KajHa 3-1 JS Hercules | Kakkonen - Lohko C |
How many goals should we expect?
JS Hercules score 2.0 and concede 2.3 goals per match over their last 15; KajHa score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JS Hercules | 2.0 | 2.3 | 2 | 13/15 | 14/15 |
| KajHa | 1.1 | 1.7 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | JS Hercules | 18 | 6 | 3 | 9 | 31 | 42 | 21 |
A question about JS Hercules 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