01 · 2 legs
Safe
- Double chance Randers or draw (1X)66%
- Over 1.5 goals77%
Danish SuperligaCepheus Park, Randers17°7,4 mm26 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Randers step into this encounter with a slight upper hand against AGF Aarhus, having dominated the head-to-head with three wins from their last six meetings. A small sample, yes, but it underscores the hosts’ ability to impose themselves when these teams clash. The numbers suggest a tight contest with Randers narrowly favored at 42% to win, buoyed by historical confidence and home advantage.
The tactical contrast is stark. Randers are low defense and direct, a pragmatic approach that often stifles opponents. Meanwhile, AGF Aarhus prefers possession and a high press, a style that can be stymied in adverse conditions. The expected rainfall of 15.4 mm will likely play into the hands of the home side, potentially suppressing AGF’s passing game and overall fluidity. This weather factor is already baked into the model’s probabilities, but it still accentuates the likelihood of a tight, defensive game.
Expected goals serve up an interesting dichotomy. Randers lag with only 0.75 xG per match compared to AGF’s 1.8, yet they’ve managed to convert these opportunities into tangible results against Aarhus more often than not. Defensively, both sides are nearly identical in their expected goals against, suggesting neither has a considerable edge in shutting down attacks.
While the model leans towards Randers and offers an enticing 37% edge at Betsson and Nordicbet with odds of 3.25, the goal expectation leans slightly in favor of over 2.5 goals at 53%. Both teams have a 57% probability to find the net, but with the conditions, a 1-0 or 2-1 scoreline feels plausible. The key betting angle here is the value in backing Randers at those odds, which offer a tangible edge over the implied probability, hinting at a defensive masterclass with just enough punch to secure a narrow home victory.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Randers | X | 2 · AGF |
|---|---|---|---|
| Betfair Exchange | 1.10 | 1.10 | 1.10 |
| Betsafe | EV+ 31% 3.10 | 3.60 | 2.15 |
| Betsson | EV+ 33% 3.15 | 3.65 | 2.18 |
| Nordicbet | EV+ 33% 3.15 | 3.65 | 2.18 |
| Paddy Power | EV+ 31% 3.10 | 3.50 | 2.00 |
| Pinnacle | EV+ 32% 3.12 | 3.71 | 2.23 |
Odds updated 30 Aug, 11:35
3.12 → 3.12
3.76 → 3.71
2.13 → 2.23
Pinnacle · 11 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points
Head-to-head based on Danish Superliga data since 2022.
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 | Randers | AGF |
|---|---|---|
| Points | 4 | 3 |
| xPoints | 5.4 | 5.5 |
| xG per match | 0.75 | 1.8 |
| xGA per match | 1.5 | 1.4 |
| xG within 8s of winning the ball | 0.16 | 0.37 |
| xGA within 8s of losing the ball | 0.27 | 0.22 |
| Playing style | Randers | AGF |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.4 | 0.61 |
| xT per match | 0.71 | 1.3 |
| xTA per match | 1.4 | 0.85 |
| Won balls, offensive half | 21 | 25 |
| Pressing intensity | 0.26 | 0.25 |
| Pressing efficiency | 0.29 | 0.3 |
| Pressing efficiency, offensive half | 0.19 | 0.22 |
| Entries into the box per match | 9 | 21 |
| Entries into the box against | 20 | 12 |
| Pass completion % | 0.76 | 0.78 |
| Pass completion % under pressure | 0.71 | 0.7 |
| Passes per match | 356 | 424 |
| Passes against per match | 473 | 281 |
| Switches of play per match | 21.3 | 28.4 |
| Long balls per match | 27 | 32 |
| Set pieces | Randers | AGF |
|---|---|---|
| xG from free kicks | 0.02 | 0.02 |
| Corners per match | 4.6 | 9.3 |
| Corners against per match | 8.2 | 3.3 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.02 | 0.04 |
| First touch, offensive corners % | 0.39 | 0.32 |
| First touch, defensive corners % | 0.61 | 0.54 |
| Other | Randers | AGF |
|---|---|---|
| Throw-in control | 0.73 | 0.76 |
| The goalkeepers | Jannich Storch (Randers) | Mouhammade Camara (AGF) |
|---|---|---|
| Saves | 18 | 6 |
| Save % | 72% | 100% |
| xG prevented | 62% | 100% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Randers a 42% win probability. Full 1X2 picture: Randers 42%, draw 25%, AGF 33%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 57% 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.