Lyseng vs Karlslunde: result 3-1 and analysis
3. DivisionRegular Season - 17Kick-off on November 20, 2021 at 12:15 PM (UTC)Lyseng Idrætspark, Højbjerg
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What was the result of Lyseng vs Karlslunde?
Lyseng won 3-1 on November 20, 2021.
Goalscorers
- 10′?Karlslunde
- 16′?Lyseng
- 26′?Lyseng
- 73′?Lyseng
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyseng have 8 wins, 3 draws and 4 defeats; Karlslunde have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2021 | Vanløse(away) | 3-0 | 3. Division |
| Nov 6, 2021 | Slagelse B&I(home) | 1-0 | 3. Division |
| Oct 30, 2021 | Dalum(away) | 2-2 | 3. Division |
| Oct 23, 2021 | Næsby(home) | 1-4 | 3. Division |
| Oct 17, 2021 | Silkeborg KFUM(away) | 2-1 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2021 | Frem(home) | 2-2 | 3. Division |
| Nov 6, 2021 | KFUM Roskilde(away) | 2-1 | 3. Division |
| Oct 30, 2021 | Vanløse(away) | 1-4 | 3. Division |
| Oct 23, 2021 | Slagelse B&I(home) | 1-3 | 3. Division |
| Oct 16, 2021 | Næsby(away) | 0-4 | 3. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Lyseng win(s), 0 draw(s), 0 Karlslunde win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2021 | Karlslunde 2-3 Lyseng | 3. Division |
How many goals should we expect?
Lyseng score 1.6 and concede 1.4 goals per match over their last 15; Karlslunde score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyseng | 1.6 | 1.4 | 5 | 10/15 | 9/15 |
| Karlslunde | 1.3 | 2.3 | 2 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lyseng | 22 | 5 | 2 | 15 | 14 | 38 | 17 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy