Viikingit vs MyPa: result 2-1 and analysis
Kakkonen - Lohko ARegular Season - 18Kick-off on August 25, 2018 at 02:00 PM (UTC)Vuosaaren Urheilukenttä, Helsinki
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What was the result of Viikingit vs MyPa?
Viikingit won 2-1 on August 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viikingit have 5 wins, 5 draws and 5 defeats; MyPa have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2018 | NJS(away) | 0-2 | Kakkonen - Lohko A |
| Aug 11, 2018 | Gnistan(home) | 0-0 | Kakkonen - Lohko A |
| Aug 4, 2018 | LPS(home) | 0-1 | Kakkonen - Lohko A |
| Jul 28, 2018 | MiPK(away) | 2-2 | Kakkonen - Lohko A |
| Jul 21, 2018 | Vaajakoski(home) | 2-0 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | LPS(home) | 7-3 | Kakkonen - Lohko A |
| Aug 8, 2018 | MiPK(away) | 2-1 | Kakkonen - Lohko A |
| Aug 4, 2018 | Vaajakoski(home) | 6-2 | Kakkonen - Lohko A |
| Jul 28, 2018 | JäPS(away) | 1-7 | Kakkonen - Lohko A |
| Jul 21, 2018 | PEPO(home) | 3-1 | Kakkonen - Lohko A |
What does the head-to-head say?
In the last meeting: 0 Viikingit wins, 0 draws, 1 MyPa win.
| Date | Score | Competition |
|---|---|---|
| Jun 9, 2018 | MyPa 3-2 Viikingit | Kakkonen - Lohko A |
How many goals should we expect?
Viikingit score 2.0 and concede 1.5 goals per match over their last 15; MyPa score 2.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viikingit | 2.0 | 1.5 | 4 | 9/15 | 8/15 |
| MyPa | 2.9 | 2.3 | 2 | 12/15 | 13/15 |
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 | MyPa | 18 | 4 | 3 | 11 | 20 | 39 | 15 |
A question about Viikingit vs MyPa?
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