FC jazz vs Tampere United: result 2-2 and analysis
Kakkonen - Lohko BRegular Season - 21Kick-off on September 24, 2017 at 02:00 PM (UTC)Porin Stadion, Pori
Full time
What was the result of FC jazz vs Tampere United?
FC jazz and Tampere United drew 2-2 on September 24, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC jazz have 8 wins, 2 draws and 5 defeats; Tampere United have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2017 | Peimari United(away) | 1-1 | Kakkonen - Lohko B |
| Sep 9, 2017 | EsPa(home) | 6-2 | Kakkonen - Lohko B |
| Sep 1, 2017 | SalPa(away) | 0-2 | Kakkonen - Lohko B |
| Aug 25, 2017 | Musa(home) | 2-0 | Kakkonen - Lohko B |
| Aug 18, 2017 | NuPS(away) | 3-3 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2017 | Viikingit(home) | 0-2 | Kakkonen - Lohko B |
| Sep 10, 2017 | Peimari United(home) | 2-1 | Kakkonen - Lohko B |
| Sep 1, 2017 | EsPa(away) | 6-0 | Kakkonen - Lohko B |
| Aug 24, 2017 | SalPa(home) | 0-2 | Kakkonen - Lohko B |
| Aug 19, 2017 | Musa(away) | 2-1 | Kakkonen - Lohko B |
What does the head-to-head say?
In the last meeting: 0 FC jazz wins, 0 draws, 1 Tampere United win.
| Date | Score | Competition |
|---|---|---|
| Jun 29, 2017 | Tampere United 3-0 FC jazz | Kakkonen - Lohko B |
Last archived meeting: Tampere United vs FC jazz on Jun 29, 2017
How many goals should we expect?
FC jazz score 1.9 and concede 1.7 goals per match over their last 15; Tampere United score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC jazz | 1.9 | 1.7 | 2 | 9/15 | 10/15 |
| Tampere United | 2.1 | 1.4 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about FC jazz vs Tampere United?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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