KäPa vs TPV: result 1-2 and analysis
Kakkonen - Lohko BRegular Season - 14Kick-off on July 12, 2015 at 03:30 PM (UTC)Kumpulanlaakson tekonurmi, Helsinki
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What was the result of KäPa vs TPV?
TPV won 1-2 on July 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KäPa have 5 wins, 6 draws and 4 defeats; TPV have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2015 | Gnistan(away) | 0-1 | Kakkonen - Lohko B |
| Jun 26, 2015 | PKKU(home) | 1-1 | Kakkonen - Lohko B |
| Jun 22, 2015 | I-Kissat(away) | 1-0 | Kakkonen - Lohko B |
| Jun 11, 2015 | Honka(home) | 1-2 | Kakkonen - Lohko B |
| Jun 7, 2015 | NJS(away) | 3-2 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 29, 2015 | Gnistan(home) | 2-3 | Kakkonen - Lohko B |
| Jun 24, 2015 | Honka(away) | 0-3 | Kakkonen - Lohko B |
| Jun 18, 2015 | Vaajakoski(home) | 1-0 | Kakkonen - Lohko B |
| Jun 14, 2015 | NJS(home) | 7-1 | Kakkonen - Lohko B |
| May 31, 2015 | JäPS(away) | 2-0 | Kakkonen - Lohko B |
What does the head-to-head say?
In the last meeting: 0 KäPa wins, 0 draws, 1 TPV win.
| Date | Score | Competition |
|---|---|---|
| May 16, 2015 | TPV 2-0 KäPa | Kakkonen - Lohko B |
How many goals should we expect?
KäPa score 1.4 and concede 1.3 goals per match over their last 15; TPV score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KäPa | 1.4 | 1.3 | 2 | 11/15 | 7/15 |
| TPV | 2.1 | 1.6 | 5 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | TPV | 18 | 13 | 2 | 3 | 53 | 22 | 41 |
A question about KäPa vs TPV?
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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