xgEdge

Sunday, 11/10/2026 at 15:30

7d 10h to kick-off
Match preview · Bundesliga

1. FC Köln – Borussia M'gladbach

1. FC Köln 13th in Bundesliga Home 2.12 projected goals by the model
Borussia M'gladbach 18th in Bundesliga Away 1.27 projected goals by the model

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

What the model expects

expected goals
2.12 1.27
1. FC Köln Borussia M'gladbach
1. FC Köln
56%
Draw
24%
Borussia M'gladbach
20%
The odds each result is fair at by the model's chance of it, with no margin in it
1. FC Köln Draw Borussia M'gladbach
Fair odds 1.77 4.18 5.10
Total goals
3.40
Over 2.5 goals
68%
Both teams to score
69%
Data coverage · full

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

Model vs market

The model sees an edge in 6 outcomes.

  • 1. FC Köln

    Model
    56.5%
    Market, margin removed
    48.5%
    Probability gap
    +8.0 pp
    Edge
    +7.8%
    Fair odds
    1.77
    Market odds
    1.91 Bet365
    Price at which a 5% edge begins
    1.86
    Bookmaker margin
    8.1%
  • Draw

    Model
    23.9%
    Market, margin removed
    24.3%
    Probability gap
    −0.4 pp
    Edge
    −9.1%
    Fair odds
    4.18
    Market odds
    3.80 Bet365
    Price at which a 5% edge begins
    4.39
    Bookmaker margin
    8.1%
  • Borussia M'gladbach

    Model
    19.6%
    Market, margin removed
    27.2%
    Probability gap
    −7.6 pp
    Edge
    −33.3%
    Fair odds
    5.10
    Market odds
    3.40 Bet365
    Price at which a 5% edge begins
    5.35
    Bookmaker margin
    8.1%

Best opportunity

1. FC Köln 2+ goals

odds · Bet365 1.67 value +8.4%

Model 65.0% vs. bookmaker 55.7%, margin removed.

Markets 6 / 17

Match result

1. FC Köln to win model 56.5% · book 48.5% (no margin) +7.8% 1.91 fair 1.77
Worth playing

Measured model skill on this market: +7.19%.

Goals

Over 2.5 goals model 68.2% · book 63.6% (no margin) +2.3% 1.50 fair 1.47
Marginal

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

Over 1.5 goals model 88.7% · book 82.8% (no margin) +1.4% 1.14 fair 1.13
Marginal

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

Both teams to score

Both teams to score model 68.7% · book 62.5% (no margin) +3.0% 1.50 fair 1.46
Marginal

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

Goals by team

1. FC Köln 2+ goals model 65.0% · book 55.7% (no margin) +8.4% 1.67 fair 1.54
Worth playing

Measured model skill on this market: +3.62%.

1. FC Köln to score model 90.0% · book 84.2% (no margin) +1.3% 1.13 fair 1.11
Marginal

Measured model skill on this market: +3.77%.

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: 1. FC Köln 2+ goals

What the model's reading is made of

  • The model makes 1. FC Köln 2+ goals 65.0%. The market, with the bookmaker's margin taken out, makes it 55.7%. The gap between the two is 9.3%.
  • Bundesliga carries more home advantage than most: the baselines the fit reads put a home side's expected goals at 1.26 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 1. FC Köln and Borussia M'gladbach that the model does not use.
Reading 1. FC Köln Borussia M'gladbach
Form — xG difference, the last 6 matches -0.39 -1.11
Goals scored minus expected -1.87 from 4 matches -0.88 from 4 matches
Points won minus expected -1.61 from 4 matches -3.30 from 4 matches
npxG per shot 0.11 from 4 matches 0.08 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 1. FC Köln

56% 1. FC Köln to win

Attack
7th vs 16th
1. FC Köln attack v Borussia M'gladbach defence
Defence
9th vs 12th
1. FC Köln defence v Borussia M'gladbach attack
Recent xG form
-0.39 vs -1.11
xGD per match, last 6
Projected goals
2.12 – 1.27
1. FC Köln v Borussia M'gladbach
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: 1. FC Köln and Borussia M'gladbach compared, each figure with where it places in the competition.
Reading 1. FC Köln Borussia M'gladbach
xG / match (better) 1.97 · 7th from 4 matches 1.72 · joint 10th from 4 matches
xGA / match (better) 1.98 · 10th from 4 matches 2.92 · 18th from 4 matches
xGD / match (better) -0.01 · 8th from 4 matches -1.20 · 17th from 4 matches
xPts / match (better) 1.40 · 8th from 4 matches 0.83 · 15th from 4 matches
Last 6 xGD / match (better) -0.39 -1.11

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 30% of the model's distribution.

1. FC Köln clean sheet
25%
1. FC Köln 2+ goals
65%
Under 2.5 goals
32%
Both teams to score: no
31%

Most likely scorelines

2:1
11.0%
1:1
10.7%
3:1
7.9%
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)
1. FC Köln sample
20 matches
Borussia M'gladbach sample
20 matches
Home xG sample · 1. FC Köln
2 matches
Away xG sample · Borussia M'gladbach
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.