01 · 2 legs
Safe
- Double chance Malmö FF or draw (1X)66%
- Over 1.5 goals81%
Swedish AllsvenskanEleda Stadion, Malmö16°2,4 mm18 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
Malmö FF have managed to find the back of the net in 23 consecutive league matches, a testament to their offensive consistency. Yet, facing Djurgårdens IF, a team that has been more effective in their expected goals metrics—boasting 1.9 xG per match against Malmö’s 1.5—presents a fascinating clash of current form versus historical dominance. While Malmö FF has the upper hand in head-to-head results, winning four of their seven encounters since 2023, this sample is too small to ignore the broader metrics which suggest a closer contest.
Malmö FF's home form is formidable, winning 64% of their home games in the league's history. However, Djurgårdens IF's superior expected points (26.9 compared to Malmö’s 22.4) and their higher xG when regaining possession quickly (0.42 to 0.23) paint a picture of a side adept at capitalizing on transitional moments. Moreover, the possession-heavy styles of both teams might mean that whoever controls the tempo more effectively could edge this encounter.
With the model giving Malmö FF a slight 40% win probability edge over Djurgårdens IF's 35%, the narrow margins are reflected in the most likely scorelines: 1-1 (11%) and 2-1 (9%). The expected goals tally also suggests a closely fought battle, with Malmö slightly ahead at 1.58 compared to Djurgårdens’ 1.44. This leaves the over 2.5 goals line—sitting at a 58% probability—as an enticing prospect.
Weather conditions can often suppress goal-scoring, but since there are no weather concerns in the provided facts, the high-scoring prediction stands firm. For those keen on the betting angle, the model’s lean towards Malmö FF and the high likelihood of both teams finding the net (61%) makes a 2-1 scoreline a tempting consideration, particularly if you can find value at Bet365 with odds on the over 2.5 goals market. As always, these angles are assessments, not certainties, but the numbers suggest a lively encounter with goals on the cards.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Malmö FF | X | 2 · Djurgården |
|---|---|---|---|
| Betsafe | EV+ 5% 2.61 | 3.48 | 2.61 |
| Betsson | EV+ 5% 2.61 | 3.48 | 2.61 |
| Nordicbet | EV+ 5% 2.61 | 3.48 | 2.61 |
Odds updated 18 Aug, 10:36
2.62 → 2.61
3.64 → 3.48
2.52 → 2.61
1.52 → 1.55
Betsson · 7 recorded price levels · 17/08/2026 → 18/08/2026 · fixed scale 5 percentage points
Head-to-head based on Allsvenskan data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Malmö FF | Djurgården |
|---|---|---|
| Points | 26 | 26 |
| xPoints | 22.4 | 26.9 |
| xG per match | 1.5 | 1.9 |
| xGA per match | 1.3 | 1.1 |
| xG within 8s of winning the ball | 0.23 | 0.42 |
| xGA within 8s of losing the ball | 0.29 | 0.16 |
| Playing style | Malmö FF | Djurgården |
|---|---|---|
| Build-up efficiency | 0.35 | 0.37 |
| Field tilt | 0.59 | 0.6 |
| xT per match | 1.3 | 1.6 |
| xTA per match | 1.4 | 1.4 |
| Won balls, offensive half | 27 | 33 |
| Pressing intensity | 0.5 | 0.52 |
| Pressing efficiency | 0.25 | 0.26 |
| Pressing efficiency, offensive half | 0.26 | 0.27 |
| Entries into the box per match | 17 | 17 |
| Entries into the box against | 15 | 12 |
| Pass completion % | 0.84 | 0.83 |
| Pass completion % under pressure | 0.8 | 0.78 |
| Passes per match | 462 | 444 |
| Passes against per match | 326 | 322 |
| Switches of play per match | 14.6 | 16.7 |
| Long balls per match | 36 | 29 |
| Set pieces | Malmö FF | Djurgården |
|---|---|---|
| xG from free kicks | 0.27 | 0.17 |
| Corners per match | 4.6 | 7 |
| Corners against per match | 5.5 | 4.1 |
| xG per corner | 0.04 | 0.03 |
| xGA per corner against | 0.03 | 0.01 |
| First touch, offensive corners % | 0.58 | 0.39 |
| First touch, defensive corners % | 0.52 | 0.62 |
| Other | Malmö FF | Djurgården |
|---|---|---|
| Throw-in control | 0.59 | 0.65 |
| The goalkeepers | Robin Olsen (Malmö FF) | Jacob Rinne (Djurgården) |
|---|---|---|
| Saves | 31 | 50 |
| Save % | 78% | 75% |
| xG prevented | 68% | 51% |
| Claims | 42 (96%) | 69 (91%) |
The model gives Malmö FF a 40% win probability. Full 1X2 picture: Malmö FF 40%, draw 25%, Djurgården 35%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 58% and under at 42%.
The probability of both teams scoring is 61% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.