xgEdge

Sunday, 11/10/2026 at 16:00

7d 12h to kick-off
Match preview · Super League Greece

AE Kifisia – Panetolikos

AE Kifisia 9th in Super League Greece Home 1.43 projected goals by the model
Panetolikos 6th in Super League Greece Away 0.71 projected goals by the model

Model updated 4 October, 03:30 Best odds updated 10 October, 12:00

What the model expects

expected goals
1.43 0.71
AE Kifisia Panetolikos
AE Kifisia
54%
Draw
31%
Panetolikos
16%
The odds each result is fair at by the model's chance of it, with no margin in it
AE Kifisia Draw Panetolikos
Fair odds 1.87 3.24 6.43
Total goals
2.14
Over 2.5 goals
36%
Both teams to score
44%
Data coverage · full

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

Model vs market

The model sees an edge in 6 outcomes.

  • AE Kifisia

    Model
    53.6%
    Market, margin removed
    48.0%
    Probability gap
    +5.6 pp
    Edge
    +1.8%
    Fair odds
    1.87
    Market odds
    1.90 Bet365
    Price at which a 5% edge begins
    1.96
    Bookmaker margin
    9.7%
  • Draw

    Model
    30.9%
    Market, margin removed
    28.0%
    Probability gap
    +2.8 pp
    Edge
    +0.4%
    Fair odds
    3.24
    Market odds
    3.25 Bet365
    Price at which a 5% edge begins
    3.40
    Bookmaker margin
    9.7%
  • Panetolikos

    Model
    15.6%
    Market, margin removed
    24.0%
    Probability gap
    −8.4 pp
    Edge
    −40.9%
    Fair odds
    6.43
    Market odds
    3.80 Bet365
    Price at which a 5% edge begins
    6.75
    Bookmaker margin
    9.7%

Best opportunity

Panetolikos not to score

odds · Bet365 2.38 value +10.9%

Model 46.7% vs. bookmaker 39.2%, margin removed.

Markets 6 / 17

Match result

AE Kifisia to win model 53.6% · book 48.0% (no margin) +1.8% 1.90 fair 1.87
Marginal

Measured model skill on this market: +7.19%.

Draw model 30.9% · book 28.0% (no margin) +0.4% 3.25 fair 3.24
Marginal

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

Goals

Under 2.5 goals model 63.8% · book 56.3% (no margin) +6.3% 1.67 fair 1.57
Worth playing

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

Both teams to score

Both teams not to score model 56.3% · book 52.0% (no margin) +1.4% 1.80 fair 1.78
Marginal

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

Goals by team

Panetolikos not to score model 46.7% · book 39.2% (no margin) +10.9% 2.38 fair 2.14
Worth playing

Measured model skill on this market: +2.56%.

Panetolikos at most 1 goal model 85.1% · book 75.0% (no margin) +6.4% 1.25 fair 1.18
Worth playing

Measured model skill on this market: +2.61%.

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: Panetolikos not to score

What the model's reading is made of

  • The model makes Panetolikos not to score 46.7%. The market, with the bookmaker's margin taken out, makes it 39.2%. The gap between the two is 7.5%.
  • The model's expected goals for Panetolikos are their own fitted attack times the defence in front of them, and the fit rates that attack at 0.77 — below the competition's average of 1.00.

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 AE Kifisia and Panetolikos that the model does not use.
Reading AE Kifisia Panetolikos
Form — xG difference, the last 6 matches +0.19 -0.52
Goals scored minus expected -2.31 +3.54
Points won minus expected -2.68 +3.91
npxG per shot 0.10 from 4 matches 0.13 from 4 matches

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 AE Kifisia

54% AE Kifisia to win

Attack
8th vs 14th
AE Kifisia attack v Panetolikos defence
Defence
4th vs 14th
AE Kifisia defence v Panetolikos attack
Recent xG form
+0.19 vs -0.52
xGD per match, last 6
Projected goals
1.43 – 0.71
AE Kifisia v Panetolikos
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: AE Kifisia and Panetolikos compared, each figure with where it places in the competition.
Reading AE Kifisia Panetolikos
xG / match (better) 1.33 · 6th from 4 matches 0.89 · 12th
xGA / match (better) 0.70 · 2nd from 4 matches 1.59 · 13th
xGD / match (better) +0.63 · 5th from 4 matches -0.70 · 12th
xPts / match (better) 1.92 · 4th from 4 matches 1.02 · 11th
Last 6 xGD / match (better) +0.19 -0.52

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 43% of the model's distribution.

AE Kifisia clean sheet
47%
AE Kifisia 2+ goals
43%
Under 2.5 goals
64%
Both teams to score: no
56%

Most likely scorelines

1:1
15.5%
1:0
14.9%
2:0
12.5%
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)
AE Kifisia sample
20 matches
Panetolikos sample
20 matches
Home xG sample · AE Kifisia
2 matches
Away xG sample · Panetolikos
2 matches
Computed
Sunday, 04/10/2026 at 03:30
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.