Sweden's football scene has become increasingly competitive in recent seasons. The Elitettan Women is widely recognized for the level of competition it consistently delivers. We evaluate fixtures using structured data and observable performance trends.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 18 | ||||
| Orebro SK W Gamla Upsala W 2026-09-13 |
DDLLD
LWLLL |
1 |
60.93%
|
|
| Sandviken W Trelleborg W 2026-09-13 |
DWLLL
DLLLW |
Handicap 1 (2:0) |
55.34%
|
|
| Goteborg W Jitex W 2026-09-12 |
LWWWW
LDLLW |
Handicap 2 (0:2) | 1:1 |
63.22%
|
| Hacken B W Umea W 2026-09-12 |
WLWLL
DLWWW |
2 | 0:2 |
61.23%
|
| Husqvarna W KIF Orebro W 2026-09-12 |
LWWWL
DWWWL |
Handicap 1 (2:0) | 2:1 |
52.68%
|
| Enskede W Alingsas W 2026-09-12 |
LDLLL
LDWLD |
X2 | 0:1 |
88.27%
|
| Linkoping W Elfsborg W 2026-09-12 |
WLWWW
DWLWW |
X2 | 2:3 |
70.21%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 17 | ||||
| Umea W Elfsborg W 2026-09-06 |
LWWWD
WLWWW |
X2 | 1:1 |
75.82%
|
| Goteborg W Husqvarna W 2026-09-05 |
WWWWD
WWWLL |
1 | 2:1 |
73.1%
|
| Jitex W Gamla Upsala W 2026-09-05 |
DLLWW
LLLWD |
1 | 1:2 |
63.17%
|
| Trelleborg W KIF Orebro W 2026-09-05 |
LLLWD
WWWLW |
X2 | 2:2 |
93.92%
|
| Sandviken W Orebro SK W 2026-09-05 |
WLLLW
DLLDW |
2 DNB | 1:1 |
62.24%
|
| Alingsas W Linkoping W 2026-09-05 |
DWLDW
LWWWL |
Handicap 1 (2:0) | 1:2 |
53.56%
|
| Hacken B W Enskede W 2026-09-05 |
LWLLL
DLLLD |
1X | 2:0 |
69.71%
|
| Round 16 | ||||
| Enskede W Jitex W 2026-08-30 |
LLLDD
LLWWW |
X2 | 2:2 |
79.68%
|
| KIF Orebro W Umea W 2026-08-29 |
WWLWW
WWWDL |
X2 | 2:1 |
56.63%
|
| Gamla Upsala W Sandviken W 2026-08-29 |
LLWDL
LLLWD |
1X | 1:3 |
76.85%
|
| Alingsas W Orebro SK W 2026-08-29 |
WLDWD
LLDWW |
1X | 1:1 |
86.22%
|
| Linkoping W Goteborg W 2026-08-29 |
WWWLD
WWWDD |
X2 | 1:4 |
64.57%
|
| Elfsborg W Hacken B W 2026-08-28 |
LWWWD
WLLLD |
1 | 2:1 |
78.59%
|
Our methodology
Each Elitettan Women prediction is based on a model-driven evaluation of team performance. We rely on established statistical methods like Linear Regression for evaluation. Metrics such as goals scored, goals conceded, and team form are central to the analysis. This helps present each match from a data-informed perspective.
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