Free football predictions and tips for Sweden Damallsvenskan

#	Name	P	W	D	L	Goals	Last 5	Pts
1	Hammarby	4	4	0	0	11:1	WWWW	12
2	Häcken W	4	4	0	0	10:4	WWWW	12
3	Eskilstuna United	5	4	0	1	6:4	WWWLW	12
4	Kristianstad	6	3	2	1	14:10	DDLWW	11
5	Malmö FF W	5	3	1	1	8:3	LWWDW	10
6	AIK	5	3	1	1	8:6	WDLWW	10
7	Piteå W	6	3	1	2	8:7	LWWWD	10
8	Norrköping W	6	1	3	2	7:7	WDLDD	6
9	Vittsjö	6	2	0	4	4:8	WLWLL	6
10	Uppsala W	6	1	2	3	4:8	LWLDD	5
11	Växjö	5	1	1	3	8:8	DLLWL	4
12	Djurgården	6	1	1	4	4:12	LLLDL	4
13	Brommapojkarna W	6	1	0	5	5:14	LLWLL	3
14	Rosengård W	6	0	2	4	6:11	DLLDL	2

When are the Sweden Damallsvenskan Predictions available?

You can track down our Damallsvenskan tips and predictions on this page, predictions are posted 4 days before any Damallsvenskan event. Using artificial intelligence on football predictions help users predict outcomes for a event.

The goal of our Sweden Damallsvenskan Predictions?

The objective is give most-precise forecast while being totally straightforward in doing as such. We firmly trust that having the right tool here in our daily football predictions the expectations can have a massive effect between Damallsvenskan fans and punters.

Top Countries

News and Articles

Flamengo win the Brazilian title after winning the Libertadores

Flamengo crowned an historic season by clinching the Brazilian league title with a 1-0 win over Ceará, just four days after lifting their fourth Copa Libertadores.

How AI Is Changing Football Predictions in 2026

Explore how artificial intelligence is transforming football predictions through richer data, smarter models, real-time context, and stronger transparency and governance.

Expected goals explained and how AI uses xG to predict results

Understand expected goals (xG) from first principles and see how AI uses xG, shot quality, and team context to predict football results with stronger accuracy and calibration.

Value betting explained with examples from AI probabilities

A clear, example-driven guide to value betting using AI probabilities, showing how to convert odds into implied probabilities, spot positive expected value, size stakes responsibly, and avoid common traps.

Over and under goals: how AI predicts goal totals

Learn how AI predicts over and under goals by estimating expected goals, tempo, team styles, and variance, then converting them into calibrated probabilities for total goals markets.

Machine learning vs human intuition in match forecasting

Compare machine learning and human intuition in match forecasting, examining strengths, blind spots, and why a hybrid approach often delivers the most dependable predictions.