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Allsvenskan 2026 Predictions, Fixtures & Team Stats

Last Updated: Tuesday, 28 April 2026

Sweden football continues to grow in competitiveness and talent. The Allsvenskan provides a platform where tactical approaches and squad depth are tested. We focus on relevant data points to help you understand how teams are performing. Over time, these insights highlight which teams maintain consistency.

Form Prediction Result Confidence %
Round 5
AIK Malmo FF 2026-04-27
LWDWL
LWWDL
X2 0:1 53.88%
Hacken Sirius 2026-04-27
DWWDL
WWWWL
X2 2:2 89.83%
Kalmar Elfsborg 2026-04-27
DLLLD
WWDWL
X2 2:1 89.96%
Mjallby Halmstad 2026-04-27
DWLLW
DDLLL
1 2:0 83.85%
Orgryte Degerfors 2026-04-27
LLWD
WLWLL
1X 1:1 56.39%
Djurgarden Hammarby 2026-04-26
LLWWL
DWLWW
X2 1:1 71.32%
Brommapojkarna Vasteras SK 2026-04-26
WLDDL
DLDWL
1X 1:2 50.36%
Goteborg GAIS 2026-04-26
DDLLL
DLLLL
1X 2:2 53.95%

Previous Predictions

Form Prediction Result Confidence %
Round 4
Degerfors AIK 2026-04-23
LWLLD
WDWLW
X2 2:1 78.14%
GAIS Mjallby 2026-04-23
LLLLW
WLLWW
X2 0:0 85.36%
Kalmar Goteborg 2026-04-23
LLLDW
DLLLW
1X 1:1 52.62%
Malmo FF Sirius 2026-04-23
WWDLW
WWWLW
X2 2:3 90.39%
Elfsborg Djurgarden 2026-04-22
WDWLW
LWWLW
1X 2:1 67.45%
Hammarby Halmstad 2026-04-22
WLWWW
DLLLW
1 1:1 84.55%
Orgryte Brommapojkarna 2026-04-22
LWD
LDDLW
1X 1:2 64.18%
Vasteras SK Hacken 2026-04-22
LDWLL
WWDLW
X2 3:3 52.08%
Round 3
AIK Kalmar 2026-04-19
DWLWW
LLDWL
1 DNB 1:0 83.66%
Hacken GAIS 2026-04-19
WDLWW
LLLWW
1X 2:1 67.6%
Halmstad Goteborg 2026-04-18
LLLWW
LLLWW
2 DNB 1:1 61.85%
Hammarby Orgryte 2026-04-18
LWWWW
WD
Handicap 2 (0:3) 8:1 91.35%
Mjallby Brommapojkarna 2026-04-18
LLWWW
DDLWW
1 3:0 52.67%
Sirius Vasteras SK 2026-04-18
WWLWW
DWLLW
1 DNB 4:1 80.24%
Degerfors Elfsborg 2026-04-17
WLLDW
DWLWW
X2 0:1 88.47%
Djurgarden Malmo FF 2026-04-17
WWLWW
WDLWW
1X 0:1 66.63%
Quick Guide for Beginners
  • 1: Home Win | X: Draw | 2: Away Win
  • 1X: Home Win or Draw | X2: Away Win or Draw
  • DNB: Draw No Bet (Stake returned if match ends in a draw)

Our methodology

Our Allsvenskan predictions are built using a data-driven approach based on statistical modeling. Linear Regression models are used to break down performance indicators across teams. We focus on performance indicators including scoring rates and defensive stability. The result is a more consistent and data-backed match analysis.

Linear regression Goal efficiency Defensive rating Recent form

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