Sunday, 08/11/2026 at 16:00
1d 20h to kick-offRanders FC – FC Nordsjælland
- Randers FC
- 26%
- Mkt 21% Market 21%
- Fair 3.85 Fair odds 3.85
- Draw
- 27%
- Mkt 23% Market 23%
- Fair 3.64 Fair odds 3.64
- FC Nordsjælland
- 47%
- Mkt 56% Market 56%
- Fair 2.15 Fair odds 2.15
2 qualified edges: FC Nordsjælland at most 1 goal, Randers FC to win
Each passes the rule the Betting section applies, at this moment. How this is decided →
- Randers FC 20/20
- FC Nordsjælland 20/20
- Model updated 6 November, 18:30
- Top odds updated 5 November, 18:00
Where the model disagrees with the market
Largest gap per question. Margin removed. Bet365 prices.
Match result
Model against the market
Randers FC to win
- Model
- 25.9%
- Market, margin removed
- 21.0%
- Probability gap
- +5.0 pp
- Edge
- +12.4%
- Fair odds
- 3.85
- Market odds
- 4.33 Bet365
- Price at which a 5% edge begins
- 4.05
- Bookmaker margin
- 10.0%
Draw
- Model
- 27.4%
- Market, margin removed
- 22.7%
- Probability gap
- +4.7 pp
- Edge
- +9.8%
- Fair odds
- 3.64
- Market odds
- 4.00 Bet365
- Price at which a 5% edge begins
- 3.83
- Bookmaker margin
- 10.0%
FC Nordsjælland to win
- Model
- 46.6%
- Market, margin removed
- 56.3%
- Probability gap
- −9.7 pp
- Edge
- −24.7%
- Fair odds
- 2.15
- Market odds
- 1.62 Bet365
- Price at which a 5% edge begins
- 2.25
- Bookmaker margin
- 10.0%
Goals
Both teams to score
Goals by team
Model skill is how much the model beat simply knowing how often each outcome happens, when 7 competitions were replayed (measured 17/08/2026). A market without skill above zero never qualifies, and skill is not the chance a bet wins. How that is measured →
Recent form
- 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
- L 2.23 created, 2.72 conceded against Lyngby
xG created xG conceded (xGA) W / D / L: the match result
Goals & scorelines
- Total goals
- 3.03
- Over 2.5 goals
- 60%
- Both teams to score
- 65%
- FC Nordsjælland 2+ goals
- 54%
- FC Nordsjælland clean sheet
- 25%
Most likely scorelines
No exact score is especially likely. The 3 most probable scorelines account for 32% of the model's distribution.
- 1:1
- 13.1%
- 1:2
- 10.8%
- 2:1
- 7.8%
Why the model favours FC Nordsjælland
Attack, defence and recent form all point to FC Nordsjælland.
- Attack
- Favours FC Nordsjælland
- 1st vs 10th
- FC Nordsjælland attack v Randers FC defence
- Defence
- Favours FC Nordsjælland
- 4th vs 10th
- FC Nordsjælland defence v Randers FC attack
- Recent xG form
- Favours FC Nordsjælland
- +0.66 vs -0.24
- xGD per match, last 6
Team comparison
Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.
| Reading | Randers FC | FC Nordsjælland |
|---|---|---|
| xG / match | 1.22 · 10th | (better) 2.32 · 1st |
| xGA / match | 1.80 · 12th | (better) 1.39 · 5th |
| xGD / match | -0.58 · joint 10th | (better) +0.93 · 1st |
| xPts / match | 1.03 · 11th | (better) 1.93 · 1st |
| Last 6 xGD / match | -0.24 | (better) +0.66 |
Head to head
Randers FC 1 Draws 0 FC Nordsjælland 2
Got a different price?
Type your bookmaker's odds for any market and see their edge against the model.
How the edge is calculated
Edge is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.
Nothing you type is remembered.
What the model doesn't know
It reads expected goals and nothing else — not the lineups, injuries or suspensions, what either side is playing for, the weather or a congested schedule.
Model details- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Randers FC sample
- 20 matches
- FC Nordsjælland sample
- 20 matches
- Home xG sample · Randers FC
- 7 matches
- Away xG sample · FC Nordsjælland
- 7 matches
- Computed
- Friday, 06/11/2026 at 18:30
- Odds updated
- 1 day ago · over a day old
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.