01 · 2 legs
Safe
- Midtjylland to win49%
- Over 1.5 goals84%
Danish SuperligaMCH Arena, Herning17°6,9 mm22 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Midtjylland's 71% home win rate over 34 matches sets a formidable stage, yet their edge in model probabilities (49%) against Nordsjælland feels less substantial. While the hosts boast a recent six-match unbeaten streak in the league, Nordsjælland's high press and edge in xPoints (10.5 vs. Midtjylland's 8.3) indicate potential to disrupt. Despite Midtjylland's historical dominance at home, their expected goals (1.83) only slightly surpass the visitors' (1.43).
The 3.1 goal average per meeting, combined with a 63% chance for over 2.5 goals, hints at an open game. The rain forecast of 6.9 mm could dampen scoring opportunities, but it's already considered in the numbers. Notably, the draw's 5% value edge at 3.65 odds with Betsafe, Betsson, and Nordicbet deserves attention given the fixture's balanced nature since 2022 (3 wins each).
The model and historical data lean toward a Midtjylland victory, yet a 1-1 scoreline (10% likelihood) remains plausible. While the underdog visitors have their strengths, the statistical nod goes to Midtjylland. Still, the draw presents a compelling value angle, subtly challenging the dominant narrative of a straightforward home win.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Midtjylland | X | 2 · Nordsjælland |
|---|---|---|---|
| Betfair Exchange | 1.45 | 1.51 | 1.11 |
| Betsafe | 1.98 | EV+ 5% 3.65 | 3.55 |
| Betsson | 2.00 | EV+ 5% 3.65 | 3.60 |
| Nordicbet | 2.00 | EV+ 5% 3.65 | 3.60 |
| Pinnacle | 1.95 | EV+ 16% 4.01 | 3.39 |
Odds updated 6 Sept, 06:33
1.95 → 1.95
4.10 → 4.01
3.32 → 3.39
Pinnacle · 7 recorded price levels · 04/09/2026 → 06/09/2026 · 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 | Midtjylland | Nordsjælland |
|---|---|---|
| Points | 14 | 13 |
| xPoints | 8.3 | 10.5 |
| xG per match | 1.4 | 2.2 |
| xGA per match | 0.91 | 1.1 |
| xG within 8s of winning the ball | 0.3 | 0.39 |
| xGA within 8s of losing the ball | 0.14 | 0.14 |
| Playing style | Midtjylland | Nordsjælland |
|---|---|---|
| Build-up efficiency | 0.31 | 0.35 |
| Field tilt | 0.54 | 0.58 |
| xT per match | 1.4 | 1.6 |
| xTA per match | 0.94 | 0.63 |
| Won balls, offensive half | 32 | 28 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.36 | 0.26 |
| Pressing efficiency, offensive half | 0.33 | 0.23 |
| Entries into the box per match | 16 | 21 |
| Entries into the box against | 13 | 10 |
| Pass completion % | 0.73 | 0.83 |
| Pass completion % under pressure | 0.69 | 0.77 |
| Passes per match | 339 | 552 |
| Passes against per match | 261 | 368 |
| Switches of play per match | 32.8 | 25.2 |
| Long balls per match | 44 | 34 |
| Set pieces | Midtjylland | Nordsjælland |
|---|---|---|
| xG from free kicks | 0.02 | 0.11 |
| Corners per match | 6.2 | 6.8 |
| Corners against per match | 4.6 | 3.7 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.39 | 0.42 |
| First touch, defensive corners % | 0.68 | 0.55 |
| Other | Midtjylland | Nordsjælland |
|---|---|---|
| Throw-in control | 0.74 | 0.77 |
| The goalkeepers | Elias Olafsson (Midtjylland) | Andreas Hansen (Nordsjælland) |
|---|---|---|
| Saves | 13 | 19 |
| Save % | 72% | 83% |
| xG prevented | 63% | 57% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Midtjylland a 49% win probability. Full 1X2 picture: Midtjylland 49%, draw 29%, Nordsjælland 22%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 63% and under at 37%.
The probability of both teams scoring is 64% 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.