xgEdge

Saturday, 07/11/2026 at 13:30

32d 10h to kick-off
Match preview · NB I (Hungary)

Paksi FC – Zalaegerszegi TE

Paksi FC 6th in NB I (Hungary) Home 1.90 projected goals by the model
Zalaegerszegi TE 12th in NB I (Hungary) Away 1.51 projected goals by the model

Model updated 6 October, 03:30 Odds not yet available

What the model expects

expected goals
1.90 1.51
Paksi FC Zalaegerszegi TE
Paksi FC
46%
Draw
26%
Zalaegerszegi TE
28%
The odds each result is fair at by the model's chance of it, with no margin in it
Paksi FC Draw Zalaegerszegi TE
Fair odds 2.19 3.88 3.51
Total goals
3.41
Over 2.5 goals
68%
Both teams to score
72%
Data coverage · full

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

Model vs market

Market odds are not available for this match yet.

The model's case

Why the model leans Paksi FC

46% Paksi FC to win

Attack
4th vs 3rd
Paksi FC attack v Zalaegerszegi TE defence
Defence
11th vs 11th
Paksi FC defence v Zalaegerszegi TE attack
Recent xG form
-0.55 vs -0.61
xGD per match, last 6
Projected goals
1.90 – 1.51
Paksi FC v Zalaegerszegi TE
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: Paksi FC and Zalaegerszegi TE compared, each figure with where it places in the competition.
Reading Paksi FC Zalaegerszegi TE
xG / match (better) 1.78 · 9th 1.21 · 12th
xGA / match 2.87 · 12th (better) 1.79 · 7th
xGD / match -1.09 · 12th (better) -0.58 · 9th
xPts / match 0.85 · 12th (better) 0.96 · 11th
Last 6 xGD / match (better) -0.55 -0.61

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 29% of the model's distribution.

Paksi FC clean sheet
19%
Paksi FC 2+ goals
59%
Under 2.5 goals
32%
Both teams to score: no
28%

Most likely scorelines

1:1
11.1%
2:1
10.1%
2:2
8.1%
Value calculator

Check your bookmaker's price

Enter a bookmaker's price to compare it with the model's fair odds.

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.

Open the calculator

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Paksi FC sample
20 matches
Zalaegerszegi TE sample
20 matches
Home xG sample · Paksi FC
2 matches
Away xG sample · Zalaegerszegi TE
3 matches
Computed
Tuesday, 06/10/2026 at 03:30

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.