Dalum vs Lyseng: result 2-2 and analysis
3. DivisionRegular Season - 14Kick-off on October 30, 2021 at 11:00 AM (UTC)Rema 1000 Park - Dalum, Odense
Full time
What was the result of Dalum vs Lyseng?
Dalum and Lyseng drew 2-2 on October 30, 2021.
Goalscorers
- 37′?Lyseng
- 61′K. WeberDalum
- 89′?Lyseng
- 90′?Dalum (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalum have 5 wins, 6 draws and 4 defeats; Lyseng have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Vanløse(home) | 1-1 | 3. Division |
| Oct 16, 2021 | Roskilde(away) | 0-3 | 3. Division |
| Oct 9, 2021 | Karlslunde(away) | 0-0 | 3. Division |
| Oct 2, 2021 | Herlev(home) | 2-0 | 3. Division |
| Sep 25, 2021 | Vanløse(away) | 1-1 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Næsby(home) | 1-4 | 3. Division |
| Oct 17, 2021 | Silkeborg KFUM(away) | 2-1 | 3. Division |
| Oct 9, 2021 | Slagelse B&I(away) | 1-2 | 3. Division |
| Oct 2, 2021 | KFUM Roskilde(home) | 1-1 | 3. Division |
| Sep 25, 2021 | Karlslunde(away) | 3-2 | 3. Division |
What does the head-to-head say?
In the last meeting: 1 Dalum win, 0 draws, 0 Lyseng wins.
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2021 | Lyseng 3-4 Dalum | 3. Division |
How many goals should we expect?
Dalum score 1.5 and concede 1.5 goals per match over their last 15; Lyseng score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalum | 1.5 | 1.5 | 4 | 10/15 | 7/15 |
| Lyseng | 1.6 | 1.9 | 3 | 12/15 | 10/15 |
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 |
A question about Dalum vs Lyseng?
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