01 · 2 legs
Safe
- Double chance Rosengård or draw (1X)65%
- Over 1.5 goals82%
Swedish Ettan
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RosengårdPossession & high pressOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The text contains an unsupported claim: the specific "Coolbet's odds" of 2.70 for Rosengård to win is not present anywhere in the FACTS and appears fabricated. Here is the corrected text:
Two possession-heavy sides with a penchant for high pressing collide as Rosengård hosts Trelleborgs FF. The model gives a slight edge to the hosts, who have been on an impressive seven-match unbeaten run. Interestingly, the expected goals are nearly deadlocked, reflecting the fine margins in this matchup: Rosengård 1.61 to Trelleborgs' 1.51. Both teams are well-drilled in similar playing styles, which likely translates into a tight battle for supremacy in the middle of the park.
Despite Trelleborgs holding a five-point lead over their hosts in the league table, it's Rosengård who can feel confident in the underlying numbers. Their xPoints of 33.2 narrowly outstrip Trelleborgs' 30.4, indicating Rosengård has perhaps been unlucky not to sit higher in the standings. The solitary head-to-head clash since 2023 ended in Trelleborgs' favor, but with just one encounter on record, it holds less weight than current form and xG metrics.
Goals should be on the menu with the over 2.5 goals probability sitting at 60%, and both teams to score at 63%. The most likely scoreline, 1-1 at 11%, underlines the model's expectation of a closely contested affair. Yet, with Rosengård's unbeaten streak and superior defensive numbers—conceding 0.97 xGA per match compared to Trelleborgs' 1.1—they might just have the slight upper hand.
Expect a tight and tactical match, but Rosengård's momentum and efficiency at the back could see them edge out a 2-1 victory.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Ettan 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 | Rosengård | Trelleborgs FF |
|---|---|---|
| Points | 34 | 39 |
| xPoints | 33.2 | 30.4 |
| xG per match | 1.6 | 1.6 |
| xGA per match | 0.97 | 1.1 |
| xG within 8s of winning the ball | 0.38 | 0.42 |
| xGA within 8s of losing the ball | 0.19 | 0.13 |
| Playing style | Rosengård | Trelleborgs FF |
|---|---|---|
| Build-up efficiency | 0.4 | 0.32 |
| Field tilt | 0.61 | 0.6 |
| xT per match | 1.5 | 1.5 |
| xTA per match | 1.2 | 1.2 |
| Won balls, offensive half | 32 | 36 |
| Pressing intensity | 0.48 | 0.53 |
| Pressing efficiency | 0.28 | 0.32 |
| Pressing efficiency, offensive half | 0.28 | 0.33 |
| Entries into the box per match | 17 | 15 |
| Entries into the box against | 11 | 11 |
| Pass completion % | 0.78 | 0.77 |
| Pass completion % under pressure | 0.73 | 0.72 |
| Passes per match | 381 | 359 |
| Passes against per match | 362 | 296 |
| Switches of play per match | 16.5 | 16.6 |
| Long balls per match | 31 | 31 |
| Set pieces | Rosengård | Trelleborgs FF |
|---|---|---|
| xG from free kicks | 0.2 | 0.17 |
| Corners per match | 5.9 | 5.5 |
| Corners against per match | 3.3 | 3.7 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.45 | 0.38 |
| First touch, defensive corners % | 0.67 | 0.62 |
| Other | Rosengård | Trelleborgs FF |
|---|---|---|
| Throw-in control | 0.56 | 0.5 |
| The goalkeepers | Alexander Cederfelt (Rosengård) | Malte Påhlsson (Trelleborgs FF) |
|---|---|---|
| Saves | 56 | 61 |
| Save % | 71% | 74% |
| xG prevented | 70% | 38% |
| Claims | 105 (91%) | 115 (93%) |
The model gives Rosengård a 39% win probability. Full 1X2 picture: Rosengård 39%, draw 25%, Trelleborgs FF 36%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 60% and under at 40%.
The probability of both teams scoring is 63% 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.