Friday, 30/10/2026 at 19:00
Full timeLyngby 2:1 Randers FC
Lyngby were the model's likeliest winner before kick-off at 49%. They won 2–1. The biggest difference was Randers FC's attack: 2.23 xG against 1.05 projected (+1.18). Lyngby produced 2.72 xG against 1.60 projected (+1.12).
Goals
- 23' Frederik Gytkjær Lyngby · 0.92 xG chance 1–0
- 45' Mohamed Sankoh Randers FC · 0.97 xG chance 1–1
- 69' Markus Anderson Lyngby · 0.41 xG chance 2–1
The model against the result
- Lyngby
- 49% What happened
- Draw
- 29%
- Randers FC
- 22%
Data coverage Both teams have at least 10 matches in the model window, but at least one has fewer than the full 20.
Projected vs produced
Randers FC produced 1.18 xG more than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 15
- 20
- On target
- 8
- 4
- Inside the box
- 10
- 15
- xG per shot
- 0.18
- 0.11
- Open play xG
- 1.61
- 1.21
- Set-piece xG
- 1.14
- 1.05
- Penalties
- —
- —
Shot-level xG may differ from the published match total
The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 2.72 for Lyngby and 2.23 for Randers FC.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
35 shots · 5.02 xG
Hover or tap a shot, or step through them with the arrows.
- Lyngby
- Randers FC
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.22 xG created 1.92 xGA
- W 1.55 created, 1.52 conceded against Viborg FF
- D 1.87 created, 1.80 conceded against Sønderjyske Fodbold
- L 0.30 created, 0.95 conceded against Silkeborg IF
- L 0.75 created, 2.34 conceded against Brøndby IF
- D 2.10 created, 2.47 conceded against FC Nordsjælland
- L 0.72 created, 2.43 conceded against FC Midtjylland
1.37 xG created 1.58 xGA
- W 0.85 created, 1.19 conceded against Brøndby IF
- L 1.68 created, 1.14 conceded against Odense Boldklub
- L 1.57 created, 1.36 conceded against Sønderjyske Fodbold
- L 0.94 created, 2.12 conceded against Viborg FF
- D 1.88 created, 0.50 conceded against AC Horsens
- L 1.31 created, 3.19 conceded against Brøndby IF
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
7 qualified edges flagged2 won5 lost
- Lost
- Won
- Lost
- Lost
- Lost
- Lost
- Won
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Under 2.5 goals | 2.35 | +15.9% | Lost |
| Randers FC at most 1 goal | 1.57 | +12.8% | Won |
| Randers FC not to score | 3.50 | +12.6% | Lost |
| Under 1.5 goals | 5.00 | +8.3% | Lost |
| Draw | 3.60 | +4.8% | Lost |
| Both teams not to score | 2.38 | +0.8% | Lost |
| Lyngby to win | 2.05 | +0.5% | Won |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Lyngby | 49.0% | 45.2% | +3.8 pp | 2.04 |
| Draw | 29.1% | 25.8% | +3.3 pp | 3.44 |
| Randers FC | 21.9% | 29.0% | −7.1 pp | 4.57 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Lyngby to score | 82.3% | 81.1% | +1.3 pp | 1.21 |
| Lyngby not to score | 17.7% | 18.9% | −1.3 pp | 5.66 |
| Randers FC to score | 67.8% | 73.1% | −5.3 pp | 1.47 |
| Randers FC not to score | 32.2% | 26.9% | +5.3 pp | 3.11 |
| Both teams to score | 57.5% | 60.8% | −3.2 pp | 1.74 |
| Both teams not to score | 42.5% | 39.2% | +3.2 pp | 2.36 |
| Lyngby 2+ goals | 49.2% | 51.5% | −2.3 pp | 2.03 |
| Lyngby at most 1 goal | 50.8% | 48.5% | +2.3 pp | 1.97 |
| Randers FC 2+ goals | 28.2% | 41.1% | −12.9 pp | 3.55 |
| Randers FC at most 1 goal | 71.8% | 58.9% | +12.9 pp | 1.39 |
| Over 1.5 goals | 78.3% | 81.1% | −2.7 pp | 1.28 |
| Under 1.5 goals | 21.7% | 18.9% | +2.7 pp | 4.62 |
| Over 2.5 goals | 50.7% | 59.9% | −9.2 pp | 1.97 |
| Under 2.5 goals | 49.3% | 40.1% | +9.2 pp | 2.03 |
Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.
Model details
Show Hide
- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Lyngby sample
- 12 matches
- Randers FC sample
- 20 matches
- Computed
- 29 minutes before kick-off
- Prices taken
- 3 hours before kick-off
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.