KajHa vs TP-47: result 1-0 and analysis
Kakkonen - Lohko CRegular Season - 20Kick-off on September 16, 2017 at 02:00 PM (UTC)Kajaanin liikuntapuisto, Kajaani
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What was the result of KajHa vs TP-47?
KajHa won 1-0 on September 16, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KajHa have 6 wins, 3 draws and 6 defeats; TP-47 have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | Kuopion Elo(away) | 3-1 | Suomen Cup |
| Sep 7, 2017 | KuFu-98(home) | 2-2 | Kakkonen - Lohko C |
| Sep 1, 2017 | JS Hercules(away) | 0-1 | Kakkonen - Lohko C |
| Aug 24, 2017 | PK-37(home) | 2-1 | Kakkonen - Lohko C |
| Aug 19, 2017 | Villiketut(away) | 2-0 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2017 | VIFK(home) | 3-2 | Suomen Cup |
| Sep 9, 2017 | GBK(home) | 1-3 | Kakkonen - Lohko C |
| Sep 3, 2017 | KuFu-98(away) | 1-1 | Kakkonen - Lohko C |
| Aug 26, 2017 | AC Kajaani(home) | 0-2 | Kakkonen - Lohko C |
| Aug 17, 2017 | JS Hercules(away) | 2-3 | Kakkonen - Lohko C |
What does the head-to-head say?
In the last meeting: 0 KajHa wins, 0 draws, 1 TP-47 win.
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | TP-47 3-0 KajHa | Kakkonen - Lohko C |
How many goals should we expect?
KajHa score 1.3 and concede 1.5 goals per match over their last 15; TP-47 score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KajHa | 1.3 | 1.5 | 3 | 8/15 | 10/15 |
| TP-47 | 1.9 | 1.7 | 1 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | TP-47 | 18 | 6 | 5 | 7 | 28 | 35 | 23 |
A question about KajHa vs TP-47?
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