The football environment in Sweden reflects steady growth in quality and depth. Within this structure, the Division 1 delivers regular high-level matchups. Each prediction is built around form, consistency, and key statistical indicators. Across the season, these patterns reveal consistency and performance levels.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 12 | ||||
| Karlbergs Hammarby TFF 2026-06-14 |
WLDLL
WLWWW |
2 DNB |
80.04%
|
|
| AFC Eskilstuna Assyriska FF 2026-06-14 |
WWLDW
LWLDD |
1X |
56.08%
|
|
| Enkoping SK Vasalund 2026-06-14 |
WLLWW
LWWWL |
X2 |
55.53%
|
|
| Stockholm Internazionale FBK Karlstad 2026-06-14 |
WWDWL
LDDDW |
1 |
55.54%
|
|
| Jarfalla Arlanda 2026-06-13 |
LLWWL
WLDDD |
2 DNB |
80.91%
|
|
| Karlstad Gefle 2026-06-13 |
WWDWW
LLWLD |
1 DNB |
78.68%
|
|
| Stocksund Sollentuna 2026-06-13 |
WLDDL
DWDDL |
X2 |
57.72%
|
|
| Umea FC Pitea 2026-06-12 |
DDLDW
LDDWL |
1 |
58.93%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 11 | ||||
| Stockholm Internazionale Vasalund 2026-06-08 |
WDWLL
WWWLW |
Handicap 2 (0:2) | 4:1 |
81.76%
|
| Jarfalla Stocksund 2026-06-08 |
LWWLL
LDDLL |
X2 | 1:6 |
67.07%
|
| Pitea Enkoping SK 2026-06-07 |
DDWLW
LLWWW |
2 DNB | 0:2 |
77.25%
|
| Sollentuna Umea FC 2026-06-07 |
WDDLL
DLDWD |
1X | 1:1 |
77.25%
|
| Arlanda Assyriska FF 2026-06-07 |
LDDDD
WLDDL |
1 DNB | 2:0 |
81.34%
|
| Gefle Hammarby TFF 2026-06-06 |
WLDLD
LWWWW |
2 DNB | 0:4 |
68.52%
|
| FBK Karlstad Karlstad 2026-06-05 |
DDDWW
DWWWD |
1X | 2:3 |
53.96%
|
| AFC Eskilstuna Karlbergs 2026-06-04 |
WLDWL
DLLDD |
X2 | 3:2 |
61.59%
|
| Round 10 | ||||
| Vasalund Jarfalla 2026-06-03 |
WWLWL
WWLLD |
1 DNB | 3:1 |
52.77%
|
| Assyriska FF Enkoping SK 2026-06-02 |
LDDLL
LWWWL |
X2 | 4:2 |
65.58%
|
| Arlanda Gefle 2026-06-01 |
DDDDW
LDLDW |
1 DNB | 2:3 |
84.84%
|
| Pitea Stockholm Internazionale 2026-05-31 |
DWLWL
WLLWD |
2 | 2:2 |
78.21%
|
| Umea FC Stocksund 2026-05-31 |
LDWDW
DLLLD |
1 | 2:2 |
50.7%
|
| Karlbergs FBK Karlstad 2026-05-31 |
LLDDL
DDWWW |
X2 | 1:1 |
85.54%
|
Our methodology
Our approach to Division 1 predictions relies on statistical models and performance data. We rely on established statistical methods like Linear Regression for evaluation. We evaluate performance using a combination of offensive and defensive data. This helps present each match from a data-informed perspective.
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