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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FA 2000
Fremad Amager
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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| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Thisted FC
|
1 | 1 | 0 | 0 | +8 | 3 |
| 2 |
Kolding IF
|
1 | 1 | 0 | 0 | +8 | 3 |
| 3 |
Fredericia
|
1 | 1 | 0 | 0 | +6 | 3 |
| 4 |
Skjold Sæby
|
1 | 1 | 0 | 0 | +6 | 3 |
| 5 |
VSK Århus
|
1 | 1 | 0 | 0 | +5 | 3 |
| 6 |
Roskilde
|
1 | 1 | 0 | 0 | +5 | 3 |
| 7 |
HIK
|
1 | 1 | 0 | 0 | +4 | 3 |
| 8 |
NB Bornholm
|
1 | 1 | 0 | 0 | +3 | 3 |
| 9 |
FC Helsingor
|
1 | 1 | 0 | 0 | +3 | 3 |
| 10 |
Vanløse
|
1 | 1 | 0 | 0 | +3 | 3 |
| 11 |
Næsby
|
1 | 1 | 0 | 0 | +3 | 3 |
| 12 |
Brabrand
|
1 | 1 | 0 | 0 | +3 | 3 |
| 13 |
Allerød
|
1 | 1 | 0 | 0 | +2 | 3 |
| 14 |
Aalborg
|
1 | 1 | 0 | 0 | +2 | 3 |
| 15 |
Sydkysten
|
1 | 1 | 0 | 0 | +2 | 3 |
| 16 |
Frederikssund
|
1 | 1 | 0 | 0 | +2 | 3 |
| 17 |
Middelfart
|
1 | 1 | 0 | 0 | +2 | 3 |
| 18 |
Avarta
|
1 | 1 | 0 | 0 | +2 | 3 |
| 19 |
Munkebo
|
1 | 1 | 0 | 0 | +1 | 3 |
| 20 |
AB Copenhagen
|
1 | 1 | 0 | 0 | +1 | 3 |
| 21 |
Frem
|
1 | 1 | 0 | 0 | +1 | 3 |
| 22 |
Brønshøj
|
1 | 1 | 0 | 0 | +1 | 3 |
| 23 |
Skovshoved
|
1 | 1 | 0 | 0 | +1 | 3 |
| 24 |
Viby
|
1 | 0 | 1 | 0 | +0 | 1 |
| 25 |
ASA Aarhus
|
1 | 0 | 1 | 0 | +0 | 1 |
| 26 |
Morud
|
1 | 0 | 0 | 1 | -1 | 0 |
| 27 |
Holbæk B&I
|
1 | 0 | 0 | 1 | -1 | 0 |
| 28 |
Ringsted
|
1 | 0 | 0 | 1 | -1 | 0 |
| 29 |
HB Koge
|
1 | 0 | 0 | 1 | -1 | 0 |
| 30 |
Vigerslev
|
1 | 0 | 0 | 1 | -1 | 0 |
| 31 |
Skjold Birkerød
|
1 | 0 | 0 | 1 | -2 | 0 |
| 32 |
Holstebro
|
1 | 0 | 0 | 1 | -2 | 0 |
| 33 |
Ishøj
|
1 | 0 | 0 | 1 | -2 | 0 |
| 34 |
Boldklubben FIX
|
1 | 0 | 0 | 1 | -2 | 0 |
| 35 |
Bredballe
|
1 | 0 | 0 | 1 | -2 | 0 |
| 36 |
GVI
|
1 | 0 | 0 | 1 | -2 | 0 |
| 37 |
FC Nakskov
|
1 | 0 | 0 | 1 | -3 | 0 |
| 38 |
Vallensbæk
|
1 | 0 | 0 | 1 | -3 | 0 |
| 39 |
Køge Nord
|
1 | 0 | 0 | 1 | -3 | 0 |
| 40 |
Kolding B
|
1 | 0 | 0 | 1 | -3 | 0 |
| 41 |
Aarhus Black Vipers
|
1 | 0 | 0 | 1 | -3 | 0 |
| 42 |
Rudersdal
|
1 | 0 | 0 | 1 | -4 | 0 |
| 43 |
tst Fodbold
|
1 | 0 | 0 | 1 | -5 | 0 |
| 44 |
Handelsstandens
|
1 | 0 | 0 | 1 | -5 | 0 |
| 45 |
SfB-Oure
|
1 | 0 | 0 | 1 | -6 | 0 |
| 46 |
Maribo
|
1 | 0 | 0 | 1 | -6 | 0 |
| 47 |
Aabybro
|
1 | 0 | 0 | 1 | -8 | 0 |
| 48 |
Glamsbjerg
|
1 | 0 | 0 | 1 | -8 | 0 |
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.
Green columns are the outcomes that came in.
FA 2000
Hvidovre IF
Tårnby FF
FA 2000
FA 2000
HB Koge
FA 2000
AB Copenhagen
Taastrup
FA 2000
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.