Viikingit vs Musa: result 3-2 and analysis
Kakkonen - Lohko BRegular Season - 2Kick-off on May 7, 2017 at 02:00 PM (UTC)Vuosaaren Urheilukenttä, Helsinki
Full time
What was the result of Viikingit vs Musa?
Viikingit won 3-2 on May 7, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viikingit have 3 wins, 7 draws and 5 defeats; Musa have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Kontu(home) | 1-1 | Kakkonen - Lohko B |
| Sep 25, 2016 | Åland(away) | 2-1 | Kakkonen - Lohko B |
| Sep 18, 2016 | Kiffen(home) | 1-1 | Kakkonen - Lohko B |
| Sep 10, 2016 | TPV(away) | 1-2 | Kakkonen - Lohko B |
| Sep 4, 2016 | FC Espoo(home) | 1-3 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2017 | SJK Akatemia(home) | 1-3 | Suomen Cup |
| Oct 1, 2016 | JS Hercules(away) | 2-0 | Kakkonen - Lohko C |
| Sep 25, 2016 | Virkiä(home) | 8-0 | Kakkonen - Lohko C |
| Sep 17, 2016 | AC Kajaani(home) | 0-0 | Kakkonen - Lohko C |
| Sep 10, 2016 | Santa Claus(away) | 5-3 | Kakkonen - Lohko C |
How many goals should we expect?
Viikingit score 1.4 and concede 1.7 goals per match over their last 15; Musa score 2.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viikingit | 1.4 | 1.7 | 2 | 11/15 | 9/15 |
| Musa | 2.8 | 1.0 | 6 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Musa | 18 | 3 | 3 | 12 | 19 | 55 | 12 |
A question about Viikingit vs Musa?
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