Allsvenskan - Sweden Predictions — Model Probabilities
Research, not instructions — the model states a probability, never a selection.
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This page selects every fixture on the current snapshot that carries a full model view — win, draw and win probabilities plus the most likely scoreline. A fixture the engine has not yet scored is left out rather than shown with an assumed number.
0 fixtures of 16 considered
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Prices captured in the scheduled market snapshot, 26 October at 08:07 UK time.
| Match | Kickoff (UK) | Model 1X2 | Most likely score |
|---|---|---|---|
 AIK v IF Elfsborg
|
Tue 27 Oct, 18:00 | — | — |
 Degerfors IF v Västerås SK
|
Wed 28 Oct, 18:00 | — | — |
 IFK Goteborg v Djurgardens IF
|
Wed 28 Oct, 18:00 | — | — |
 IF Brommapojkarna v BK Hacken
|
Wed 28 Oct, 18:00 | — | — |
 Halmstads BK v Malmo FF
|
Wed 28 Oct, 18:00 | — | — |
 Hammarby IF v IK Sirius
|
Thu 29 Oct, 17:30 | — | — |
 Örgryte IS v Mjällby AIF
|
Thu 29 Oct, 18:00 | — | — |
 Kalmar FF v GAIS
|
Thu 29 Oct, 18:00 | — | — |
| Malmo FF v Hammarby IF
|
Sun 1 Nov, 13:00 | — | — |
| Djurgardens IF v Degerfors IF
|
Sun 1 Nov, 13:00 | — | — |
| IF Elfsborg v Örgryte IS
|
Sun 1 Nov, 15:30 | — | — |
| BK Hacken v IFK Goteborg
|
Sun 1 Nov, 15:30 | — | — |
| Västerås SK v IF Brommapojkarna
|
Sun 1 Nov, 15:30 | — | — |
| Gais v AIK Stockholm
|
Mon 2 Nov, 18:00 | — | — |
| Mjallby AIF v Kalmar FF
|
Mon 2 Nov, 18:00 | — | — |
| IK Sirius v Halmstads BK
|
Tue 3 Nov, 18:00 | — | — |
Read the full picture. Every row links to the fixture's prediction
view: expected goals, fair odds, price movement and the grounded team-news brief. The
track record grades every published call in the open.
Frequently asked questions
How are these allsvenskan - sweden predictions made?
A Dixon-Coles + ELO statistical model, trained continuously on a growing results archive, produces expected goals per team and win/draw/win probabilities for every fixture. The model is then priced against the real odds market — the market always owns the final number.
Are these betting tips?
No — they are model probabilities published as research. Probabilities carry uncertainty and no outcome is certain; judge the process on the public track record, which grades every published call against the closing line.
How do I know the model is any good?
The track record page publishes calibration (predicted vs observed frequencies), closing-line value on every call, and a held-out walk-forward backtest — process metrics first, never performance claims.
Prices captured in the scheduled market snapshot, 26 October at 08:07 UK time. · engine slate assembled 16 h ago · this page fetched the feed just now. Every price shown is a real captured bookmaker price with its own capture time.