xgEdge

Friday, 09/10/2026 at 18:00

2d 8h to kick-off
Match preview · HNL

HNK Gorica – NK Rudeš

HNK Gorica 9th in HNL Home 1.23 projected goals by the model
NK Rudeš 10th in HNL Away 0.87 projected goals by the model

Model updated 7 October, 09:30 Best odds updated 6 October, 18:00

What the model expects

expected goals
1.23 0.87
HNK Gorica NK Rudeš
HNK Gorica
43%
Draw
34%
NK Rudeš
23%
The odds each result is fair at by the model's chance of it, with no margin in it
HNK Gorica Draw NK Rudeš
Fair odds 2.34 2.95 4.29
Total goals
2.09
Over 2.5 goals
35%
Both teams to score
47%
Data coverage · thin

One of these teams has only 8 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.

Model vs market

The model sees an edge in 4 outcomes.

  • HNK Gorica

    Model
    42.7%
    Market, margin removed
    57.3%
    Probability gap
    −14.6 pp
    Edge
    −32.8%
    Fair odds
    2.34
    Market odds
    1.57 Paddy Power
    Price at which a 5% edge begins
    2.46
    Bookmaker margin
    11.0%
  • Draw

    Model
    33.9%
    Market, margin removed
    23.7%
    Probability gap
    +10.2 pp
    Edge
    +28.9%
    Fair odds
    2.95
    Market odds
    3.80 Paddy Power
    Price at which a 5% edge begins
    3.09
    Bookmaker margin
    11.0%
  • NK Rudeš

    Model
    23.3%
    Market, margin removed
    19.0%
    Probability gap
    +4.4 pp
    Edge
    +10.8%
    Fair odds
    4.29
    Market odds
    4.75 Paddy Power
    Price at which a 5% edge begins
    4.50
    Bookmaker margin
    11.0%

Best opportunity

NK Rudeš to win

odds · Paddy Power 4.75 value +10.8%

Model 23.3% vs. bookmaker 19.0%, margin removed.

Markets 4 / 7

Match result

Draw model 33.9% · book 23.7% (no margin) +28.9% 3.80 fair 2.95
Great value

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

NK Rudeš to win model 23.3% · book 19.0% (no margin) +10.8% 4.75 fair 4.29
Worth playing

Measured model skill on this market: +7.20%.

Goals

Under 2.5 goals model 64.9% · book 46.3% (no margin) +29.9% 2.00 fair 1.54
Great value

No measured model skill on this market (-0.89%).

Under 1.5 goals model 33.8% · book 24.6% (no margin) +26.9% 3.75 fair 2.96
Great value

No measured model skill on this market (-0.01%).

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: NK Rudeš to win

What the model's reading is made of

  • The fit has seen one of these two sides in only 8 matches. Everything behind this edge rests on that, which is too little to set out as a reason.

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 HNK Gorica and NK Rudeš that the model does not use.
Reading HNK Gorica NK Rudeš
Form — xG difference, the last 6 matches -0.42 -1.44
Goals scored minus expected -1.96 +5.24
Points won minus expected -2.64 +0.43
npxG per shot 0.07 0.06

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 leans HNK Gorica

43% HNK Gorica to win

Attack
9th vs 9th
HNK Gorica attack v NK Rudeš defence
Defence
6th vs 10th
HNK Gorica defence v NK Rudeš attack
Recent xG form
-0.42 vs -1.44
xGD per match, last 6
Projected goals
1.23 – 0.87
HNK Gorica v NK Rudeš

The fit has seen one of these two sides in only 8 matches, so read all of this as a rough guide.

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: HNK Gorica and NK Rudeš compared, each figure with where it places in the competition.
Reading HNK Gorica NK Rudeš
xG / match (better) 0.87 · 9th 0.60 · 10th
xGA / match (better) 1.37 · 7th 2.20 · 10th
xGD / match (better) -0.50 · 7th -1.61 · 10th
xPts / match (better) 0.95 · 7th 0.45 · 10th
Last 6 xGD / match (better) -0.42 -1.44

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 42% of the model's distribution.

HNK Gorica clean sheet
39%
HNK Gorica 2+ goals
35%
Under 2.5 goals
65%
Both teams to score: no
53%

Most likely scorelines

1:1
17.2%
1:0
13.0%
0:0
12.3%
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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Match result

HNK Gorica to win
42.7% 2.34 —
Draw
33.9% 2.95 —
NK Rudeš to win
23.3% 4.29 —

Goals

Over 1.5 goals
66.2% 1.51 —
Under 1.5 goals
33.8% 2.96 —
Over 2.5 goals
35.1% 2.85 —
Under 2.5 goals
64.9% 1.54 —

Both teams to score

Both teams to score
46.8% 2.14 —
Both teams not to score
53.2% 1.88 —

Team goals — HNK Gorica

HNK Gorica to score
73.5% 1.36 —
HNK Gorica not to score
26.5% 3.78 —
HNK Gorica 2+ goals
35.3% 2.83 —
HNK Gorica at most 1 goal
64.7% 1.55 —

Team goals — NK Rudeš

NK Rudeš to score
60.9% 1.64 —
NK Rudeš not to score
39.1% 2.56 —
NK Rudeš 2+ goals
21.2% 4.73 —
NK Rudeš at most 1 goal
78.8% 1.27 —

Model details

· 1 warning Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
HNK Gorica sample
20 matches
NK Rudeš sample
8 matches
Home xG sample · HNK Gorica
4 matches
Away xG sample · NK Rudeš
4 matches
Computed
Wednesday, 07/10/2026 at 09:30
Odds updated
15 hours ago

Warnings

  • NK Rudeš has only 8 matches in the database. Below 10 matches the estimate is very unreliable.

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.