Motala vs Gauthiod: result 3-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 13Kick-off on June 20, 2024 at 05:30 PM (UTC)Motala Idrottspark, Motala
Full time
What was the result of Motala vs Gauthiod?
Motala won 3-1 on June 20, 2024.
Goalscorers
- 19′?Motala
- 31′?Motala
- 49′?Motala
- 79′?Gauthiod
What is the recent form of both teams?
Over their last 15 matches in all competitions, Motala have 3 wins, 5 draws and 7 defeats; Gauthiod have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2024 | Herrestads(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 6, 2024 | Kumla(home) | 5-5 | Division 2 - Norra Götaland |
| Jun 2, 2024 | Vänersborgs FK(away) | 2-2 | Division 2 - Norra Götaland |
| May 24, 2024 | Lidköping(home) | 0-0 | Division 2 - Norra Götaland |
| May 18, 2024 | Stenungsund(home) | 3-3 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2024 | Stenungsund(home) | 3-2 | Division 2 - Norra Götaland |
| Jun 9, 2024 | IFK Skövde(away) | 1-5 | Division 2 - Norra Götaland |
| May 30, 2024 | Grebbestad(home) | 3-2 | Division 2 - Norra Götaland |
| May 23, 2024 | Ahlafors(away) | 0-1 | Division 2 - Norra Götaland |
| May 18, 2024 | Forward(home) | 1-1 | Division 2 - Norra Götaland |
How many goals should we expect?
Motala score 1.7 and concede 2.8 goals per match over their last 15; Gauthiod score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 1.7 | 2.8 | 2 | 9/15 | 11/15 |
| Gauthiod | 1.3 | 2.3 | 1 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Motala | 25 | 6 | 8 | 11 | 36 | 41 | 26 |
A question about Motala vs Gauthiod?
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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