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Superliga · Denmark · Championship Round - 10

Aarhus–Brondby

3–3

HT 0–2

Kick-off
Sunday, 4 June 2023 at 15:00
Status
Match Finished
Venue
Ceres Park & Arena, Århus
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What the model said, and what happened

✗ Ended level — we gave the draw 27%✓ double chance: correct

This verdict goes into the public record unchanged; we do not filter out the ones we get wrong. The model's track record

Goals and red cards

  • 11'⚽BrondbyO. Omoijuanfo (assist: M. Kvistgaarden)
  • 37'AarhusK. Yakob · red card
  • 38'⚽BrondbyJ. Radošević
  • 67'⚽BrondbyM. Kvistgaarden (assist: M. Greve)
  • 74'⚽AarhusJ. Duin (assist: F. Beijmo)
  • 80'BrondbyK. Mensah

Match statistics

Match statistics
AarhusBrondby
9Shots12
3Shots on target5
8Shots inside the box9
2Goalkeeper saves0
5Corners3
0Offsides1
44%Possession56%
344Passes440
256Accurate passes

What we expected, and what happened

  • Expected goals before kick-off: Aarhus 1.54 · Brondby 1.09. On the pitch: 3-3.
  • Shots Aarhus 9 · Brondby 12; on target 3 and 5.
  • Brondby kept the ball more (56%).

Referee

Jens Maae, Denmark→

3.15

yellows per match

0.08

reds per match

13

matches of data

13 matches is a small sample — these averages are noisy and should not be read as a tendency.

Model prediction

Why this prediction?

  • ·The model puts the most likely outcome at 47.3%: “Aarhus to win”. Second comes “a draw” at 27.3%.
  • ·Behind that distribution are the expected goals: 1.54 for Aarhus, 1.09 for Brondby.
  • ·The highest double chance value is 74.6% (1X — Aarhus win or draw).
  • ·These values were computed from 159 past matches.

This is a prediction, not a guarantee; a probability is not a certainty.

These sentences are built by a fixed template; every number in them comes straight from the model's computation, none invented while the text was written.

Aarhus to win47.3%
Draw27.3%
Brondby to win25.4%

When the model has said 45–50% in the past, 2,070 of 4,392 predictions were correct (47.1%). Accuracy record →

Both teams to score
· red card
  • 81'⚽AarhusP. Mortensen (penalty)
  • 85'⚽AarhusJ. Duin (assist: F. Tingager)
  • 368
    8Fouls15
    1Yellow cards3
    1Red cards1

    The measurements our data provider sent for this match. A row that was not measured shows “—”; writing 0 into an empty field would claim we measured it and found none.

    55.4%

    When the model has said 55–60% in the past, 3,522 of 6,222 predictions were correct (56.6%). Accuracy record →

    Double chance

    1X — Aarhus win or draw74.6%
    12 — any result other than a draw72.7%
    X2 — draw or Brondby win52.7%

    These three values add up to 200%, not 100% — and that is not a mistake. The options are not mutually exclusive; every outcome is counted in two of them. For the same reason 1X plus X2 exceeds 100% by exactly the probability of a draw (27.3%).

    First half

    Actual: 0–2
    Aarhus lead at half-time36.4%
    Level at half-time43.5%
    Brondby lead at half-time20.1%

    First-half double chance

    1X — Aarhus ahead or level79.9%
    12 — not level at half-time56.5%
    X2 — level or Brondby ahead63.6%

    These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 159 matches. Its edge over the base rate is markedly smaller than the full-match model's — the measured figure is on the accuracy record. Read them more cautiously. First-half goal markets are not published because they failed to beat the base rate.

    Expected fouls and corners

    Fouls

    Aarhus
    at least 9Actual: 8
    Brondby
    at least 10Actual: 15

    Corners

    Aarhus
    at least 4Actual: 5
    Brondby
    at least 4Actual: 3

    These figures are set to hold in at least 60% of matches; in the rest the count comes in below them. No upper bound is stated — we make no "at most" claim. Yellow cards were measured and are not published: there our model did not beat the historical average.

    Goals market

    The 3+ goals prediction is not published for this match.

    The model gives a probability below the baseline (49.7%). In backtesting the model's edge in the "fewer goals" direction could not be confirmed; we don't publish an unconfirmed prediction.

    What these probabilities rest on

    Expected goals comes out of a team's attack weighed against its opponent's defence. A strong attack is damped when it meets a strong defence — which is why comparing the ratings on their own is misleading.

    How many goals Aarhus score1.54

    Attack: Aarhus score close to the league average.

    Opponent's defence: Brondby's defence is close to the league average (1.12×), so it doesn't move the expectation much.

    Result: These two effects give an expectation of 1.54 goals (including home advantage).

    How many goals Brondby score1.09

    Attack: Brondby score above the league average (17% more).

    Opponent's defence: Aarhus concede 33% below the league average — a defence that seriously brakes even a strong attack.

    Result: These two effects give an expectation of 1.09 goals (including the away penalty).

    Most likely scorelines

    1–113.9%2–110.3%1–010.2%

    A single scoreline is always less likely than an outcome: “home win” is the sum of 1-0, 2-0, 2-1 and dozens more. So the most likely single score can be a draw while the most likely outcome is a home win; the two do not contradict each other.

    Ratings were computed from 159 matches played in this league before kick-off; the team with fewer has 31 matches. No data from after the match was used. The model's track record is published unfiltered.