TP-47 vs YPA: result 1-4 and analysis
Kakkonen - Lohko CRegular Season - 12Kick-off on July 17, 2016 at 03:30 PM (UTC)Puuluoto Tekonurmi, Tornio
Full time
What was the result of TP-47 vs YPA?
YPA won 1-4 on July 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, TP-47 have 9 wins, 2 draws and 4 defeats; YPA have 5, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2016 | PPT(home) | 3-1 | Kakkonen - Lohko C |
| Jul 2, 2016 | Kraft(away) | 1-1 | Kakkonen - Lohko C |
| Jun 29, 2016 | JS Hercules(away) | 1-3 | Kakkonen - Lohko C |
| Jun 19, 2016 | Virkiä(home) | 3-1 | Kakkonen - Lohko C |
| Jun 12, 2016 | AC Kajaani(away) | 0-3 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2016 | Santa Claus(home) | 5-1 | Kakkonen - Lohko C |
| Jul 2, 2016 | PPT(away) | 1-0 | Kakkonen - Lohko C |
| Jun 28, 2016 | GBK(away) | 2-0 | Kakkonen - Lohko C |
| Jun 19, 2016 | JS Hercules(home) | 3-1 | Kakkonen - Lohko C |
| Jun 12, 2016 | Virkiä(away) | 4-1 | Kakkonen - Lohko C |
What does the head-to-head say?
In the last meeting: 1 TP-47 win, 0 draws, 0 YPA wins.
| Date | Score | Competition |
|---|---|---|
| May 8, 2016 | YPA 0-3 TP-47 | Kakkonen - Lohko C |
How many goals should we expect?
TP-47 score 2.3 and concede 1.4 goals per match over their last 15; YPA score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TP-47 | 2.3 | 1.4 | 4 | 9/15 | 12/15 |
| YPA | 1.7 | 1.6 | 3 | 6/11 | 7/11 |
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 TP-47 vs YPA?
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