xgEdge

Saturday, 10/10/2026 at 17:00

6d 16h to kick-off
Match preview · SuperLiga (Serbia)

FK Radnički Niš – FK Vojvodina

FK Radnički Niš 12th in SuperLiga (Serbia) Home 1.52 projected goals by the model
FK Vojvodina 2nd in SuperLiga (Serbia) Away 1.61 projected goals by the model

Model updated 3 October, 21:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
1.52 1.61
FK Radnički Niš FK Vojvodina
FK Radnički Niš
34%
Draw
28%
FK Vojvodina
38%
The odds each result is fair at by the model's chance of it, with no margin in it
FK Radnički Niš Draw FK Vojvodina
Fair odds 2.95 3.60 2.61
Total goals
3.13
Over 2.5 goals
62%
Both teams to score
68%
Data coverage · full

Both teams have the full 20-match model window available.

Model vs market

The model sees an edge in 7 outcomes.

  • FK Radnički Niš

    Model
    33.9%
    Market, margin removed
    12.5%
    Probability gap
    +21.5 pp
    Edge
    +154.5%
    Fair odds
    2.95
    Market odds
    7.50 Bet365
    Price at which a 5% edge begins
    3.09
    Bookmaker margin
    7.0%
  • Draw

    Model
    27.8%
    Market, margin removed
    20.8%
    Probability gap
    +7.0 pp
    Edge
    +25.0%
    Fair odds
    3.60
    Market odds
    4.50 Bet365
    Price at which a 5% edge begins
    3.78
    Bookmaker margin
    7.0%
  • FK Vojvodina

    Model
    38.3%
    Market, margin removed
    66.8%
    Probability gap
    −28.5 pp
    Edge
    −46.4%
    Fair odds
    2.61
    Market odds
    1.40 Bet365
    Price at which a 5% edge begins
    2.74
    Bookmaker margin
    7.0%

Best opportunity

FK Radnički Niš to win

odds · Bet365 7.50 value +154.5%

Model 33.9% vs. bookmaker 12.5%, margin removed.

Markets 7 / 17

Match result

FK Radnički Niš to win model 33.9% · book 12.5% (no margin) +154.5% 7.50 fair 2.95
Great value

Measured model skill on this market: +7.19%.

Draw model 27.8% · book 20.8% (no margin) +25.0% 4.50 fair 3.60
Great value

No measured model skill on this market (-1.04%).

Both teams to score

Both teams to score model 68.0% · book 51.5% (no margin) +22.5% 1.80 fair 1.47
Great value

No measured model skill on this market (-0.43%).

Goals by team

FK Radnički Niš 2+ goals model 46.2% · book 27.7% (no margin) +56.9% 3.40 fair 2.17
Great value

Measured model skill on this market: +3.62%.

FK Vojvodina at most 1 goal model 50.6% · book 37.5% (no margin) +26.4% 2.50 fair 1.98
Great value

Measured model skill on this market: +2.61%.

FK Radnički Niš to score model 80.7% · book 62.5% (no margin) +21.0% 1.50 fair 1.24
Great value

Measured model skill on this market: +3.77%.

FK Vojvodina not to score model 17.5% · book 14.5% (no margin) +13.8% 6.50 fair 5.71
Worth playing

Measured model skill on this market: +2.56%.

Show every rated outcome

Skill is what a backtest measured each market at, over 7 competitions to 17/08/2026. Across every market at once it is +2.50%. Markets measured at nothing are ranked last and never recommended. How that is measured →

Why the model disagrees with the market

The leading outcome: FK Radnički Niš to win

What the model's reading is made of

  • The model makes FK Radnički Niš to win 33.9%. The market, with the bookmaker's margin taken out, makes it 12.5%. The gap between the two is 21.5%.
  • SuperLiga (Serbia) carries more home advantage than most: the baselines the fit reads put a home side's expected goals at 1.27 times an away side's, against a median of 1.22 across the competitions the model fits.

These are the parts of the model's own number, not an account of the bookmaker's. The fit reads two ratings a side, the competition's average home and away expected goals, the window it looks back over and how many matches it found in it — and nothing else is a reason this page can give.

What the model did not read

Readings for FK Radnički Niš and FK Vojvodina that the model does not use.
Reading FK Radnički Niš FK Vojvodina
Form — xG difference, the last 6 matches -0.39 +1.68
Goals scored minus expected -7.31 -4.91
Points won minus expected -5.63 +4.59
npxG per shot 0.11 0.16

All of this is in the database and none of it entered the fit. A reading here may point the other way from every line above it — where it does, both are true, and only one of them is in the model.

The model's case

Why the model can't separate them

38% FK Vojvodina to win

Attack
3rd vs 8th
FK Vojvodina attack v FK Radnički Niš defence
Defence
5th vs 8th
FK Vojvodina defence v FK Radnički Niš attack
Recent xG form
+1.68 vs -0.39
xGD per match, last 6
Projected goals
1.52 – 1.61
FK Radnički Niš v FK Vojvodina
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: FK Radnički Niš and FK Vojvodina compared, each figure with where it places in the competition.
Reading FK Radnički Niš FK Vojvodina
xG / match 1.48 · 10th (better) 2.77 · 2nd
xGA / match (better) 1.42 · 5th 1.49 · 7th
xGD / match +0.06 · 8th (better) +1.28 · 2nd
xPts / match 1.51 · 7th (better) 1.93 · 2nd
Last 6 xGD / match -0.39 (better) +1.68

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 32% of the model's distribution.

FK Vojvodina clean sheet
19%
FK Vojvodina 2+ goals
49%
Under 2.5 goals
38%
Both teams to score: no
32%

Most likely scorelines

1:1
12.9%
1:2
9.8%
2:1
9.2%
Value calculator

Check your bookmaker's price

The prices above are one bookmaker's. Type your own to check it against the model.

How value is calculated

Value 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.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
FK Radnički Niš sample
20 matches
FK Vojvodina sample
20 matches
Home xG sample · FK Radnički Niš
3 matches
Away xG sample · FK Vojvodina
3 matches
Computed
Saturday, 03/10/2026 at 21:30
Odds updated
1 minute ago

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.