Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Team trends
Lyngby
Brondby
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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The table before the match Lyngby 11. · Brondby 1. ▾
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Brondby
|
15 | 10 | 1 | 4 | +8 | 31 |
| 2 |
Midtjylland
|
15 | 9 | 3 | 3 | +9 | 30 |
| 3 |
Aarhus
|
15 | 8 | 4 | 3 | +11 | 28 |
| 4 |
Randers FC
|
16 | 8 | 2 | 6 | +11 | 26 |
| 5 |
FC Copenhagen
|
15 | 8 | 2 | 5 | +4 | 26 |
| 6 |
Sonderjyske
|
15 | 7 | 3 | 5 | +4 | 24 |
| 7 |
Aalborg
|
16 | 5 | 6 | 5 | -4 | 21 |
| 8 |
Vejle
|
16 | 5 | 5 | 6 | -5 | 20 |
| 9 |
Odense
|
15 | 5 | 4 | 6 | -1 | 19 |
| 10 |
Nordsjaelland
|
16 | 4 | 5 | 7 | +0 | 17 |
| 11 |
Lyngby
|
15 | 1 | 4 | 10 | -18 | 7 |
| 12 |
Horsens
|
15 | 1 | 3 | 11 | -19 | 6 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Recent head-to-head meetings
30. Nov -20 Brondby – Lyngby 4–1 1. Mar -20 Brondby – Lyngby 1–0 20. Oct -19 Lyngby – Brondby 0–3Odds comparison
Green columns are the outcomes that came in.
Recent matches
Aarhus
Lyngby
Odense
Lyngby
Lyngby
Vejle
Aalborg
Lyngby
Lyngby
Randers FC
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.