Musa vs Viikingit: result 2-2 and analysis
Kakkonen - Lohko BRegular Season - 12Kick-off on July 22, 2017 at 02:00 PM (UTC)Porin Stadion, Pori
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What was the result of Musa vs Viikingit?
Musa and Viikingit drew 2-2 on July 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Musa have 9 wins, 2 draws and 4 defeats; Viikingit have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2017 | NuPS(away) | 5-0 | Kakkonen - Lohko B |
| Jul 1, 2017 | TPV(home) | 3-0 | Kakkonen - Lohko B |
| Jun 27, 2017 | FC Espoo(home) | 1-0 | Kakkonen - Lohko B |
| Jun 21, 2017 | BK-46(away) | 0-0 | Kakkonen - Lohko B |
| Jun 17, 2017 | KäPa(away) | 0-3 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2017 | FC jazz(away) | 4-0 | Kakkonen - Lohko B |
| Jul 5, 2017 | Tampere United(home) | 1-1 | Kakkonen - Lohko B |
| Jul 1, 2017 | NuPS(home) | 5-1 | Kakkonen - Lohko B |
| Jun 27, 2017 | TPV(away) | 2-0 | Kakkonen - Lohko B |
| Jun 17, 2017 | Peimari United(home) | 1-0 | Kakkonen - Lohko B |
What does the head-to-head say?
In the last meeting: 0 Musa wins, 0 draws, 1 Viikingit win.
| Date | Score | Competition |
|---|---|---|
| May 7, 2017 | Viikingit 3-2 Musa | Kakkonen - Lohko B |
How many goals should we expect?
Musa score 2.3 and concede 0.8 goals per match over their last 15; Viikingit score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Musa | 2.3 | 0.8 | 9 | 4/15 | 9/15 |
| Viikingit | 1.8 | 1.1 | 3 | 11/15 | 7/15 |
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 Musa vs Viikingit?
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