01 · 2 legs
Safe
- AGF to win49%
- Over 1.5 goals77%
Danish SuperligaLyngby Stadion, Kongens Lyngby19°15 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
Six matches without tasting defeat — that’s the impressive streak AGF Aarhus brings into their showdown with Lyngby Boldklub. It's a pattern that hints at resilience and consistency, a formidable blend in the cutthroat world of the Danish Superliga. While AGF Aarhus holds the upper hand in recent form, Lyngby’s knack for causing defensive headaches can’t be overlooked, as their expected goals (xG) per match sits at a lively 3.1 compared to AGF Aarhus’s 1.9. Yet, despite this attacking potential, it's the visitors who seem to hold the upper hand, both in probability and poise.
Lyngby Boldklub’s tactical setup is a mirror of AGF Aarhus’s own counter-attack and crossing strategy, but their execution has fallen short more often than not. The two sides have met twice since 2022, and Lyngby have yet to clinch a victory. They've managed only a draw and succumbed to defeat once, suggesting that AGF Aarhus has a slight mental edge in head-to-head contests. They may have bagged fewer points historically, but Lyngby’s greater xPoints and slightly tighter expected goals against (xGA) offer a semblance of an argument for a surprise.
AGF Aarhus's unbeaten run and a model probability tipping the scales at a solid 49% in their favor underline a match that leans towards them. Betting markets echo this sentiment, presenting tangible value at odds of 2.16 with Pinnacle for an away win — an enticing 6% edge if the data holds true. As for the scoreboard, the most likely result skews towards a close affair, with 1-1 at a 12% likelihood and both 1-2 and 0-1 each sitting at 9%.
With the probability of over 2.5 goals at 53% and both teams to score at 57%, the odds suggest action in front of goal. However, the sharpest edge lies in backing AGF Aarhus to continue their unbeaten roll. The numbers, the form, and the market all weave a compelling narrative for the visitors to edge it, perhaps 1-2, with the over 2.5 goals just about tipping the balance. For the punters, the value on AGF Aarhus at 2.16 is the glittering gem in the betting landscape.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Lyngby | X | 2 · AGF |
|---|---|---|---|
| Pinnacle | 2.95 | 3.63 | EV+ 17% 2.39 |
Odds updated 1 Aug, 10:09
Market signal
The market has moved clearly towards a Lyngby win since 27 July — the odds have shortened from 3.80 to 2.95 (−22%).
3.80 → 2.95
3.61 → 3.63
1.95 → 2.39
1.85 → 1.69
Pinnacle · 15 recorded price levels · 27/07/2026 → 01/08/2026 · fixed scale 10 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 | Lyngby | AGF |
|---|---|---|
| Points | 0 | 1 |
| xPoints | 2.5 | 1.8 |
| xG per match | 3.1 | 1.9 |
| xGA per match | 0.89 | 0.96 |
| xG within 8s of winning the ball | 1.2 | 0.47 |
| xGA within 8s of losing the ball | 0.19 | 0.04 |
| Playing style | Lyngby | AGF |
|---|---|---|
| Build-up efficiency | 0.32 | 0.3 |
| Field tilt | 0.59 | 0.57 |
| xT per match | 1.6 | 1.1 |
| xTA per match | 0.7 | 0.62 |
| Won balls, offensive half | 31 | 26 |
| Pressing intensity | 0.25 | 0.25 |
| Pressing efficiency | 0.34 | 0.3 |
| Pressing efficiency, offensive half | 0.41 | 0.43 |
| Entries into the box per match | 18 | 23 |
| Entries into the box against | 11 | 15 |
| Pass completion % | 0.7 | 0.74 |
| Pass completion % under pressure | 0.64 | 0.59 |
| Passes per match | 279 | 334 |
| Passes against per match | 408 | 293 |
| Switches of play per match | 13.9 | 30.5 |
| Long balls per match | 26 | 37 |
| Set pieces | Lyngby | AGF |
|---|---|---|
| xG from free kicks | 0 | 0 |
| Corners per match | 5 | 10.2 |
| Corners against per match | 5 | 6.1 |
| xG per corner | 0.1 | 0.05 |
| xGA per corner against | 0.02 | 0.05 |
| First touch, offensive corners % | 0.8 | 0.4 |
| First touch, defensive corners % | 0.4 | 0.67 |
| Other | Lyngby | AGF |
|---|---|---|
| Throw-in control | 0.71 | 0.77 |
| The goalkeepers | Diego Kochen (Lyngby) | Jesper Hansen (AGF) |
|---|---|---|
| Saves | 3 | 1 |
| Save % | 50% | 50% |
| xG prevented | 43% | 21% |
| Claims | 0 (0%) | 0 (0%) |
The model gives AGF a 49% win probability. Full 1X2 picture: Lyngby 29%, draw 22%, AGF 49%.
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.