Premiership · Scotland · Regular Season - 3

Dundee Utd–Dundee

0–2

HT 0–1

Kick-off: Saturday, 22 August 2026 at 16:45
Status: Match Finished
Venue: Tannadice Park, Dundee

What the model said, and what happened

Incorrect — we gave this result 25%

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

43'DundeeD. Wright
57'DundeeO. Bevan (assist: A. Forrest)

Match statistics

Match statistics
Dundee Utd		Dundee
23	Shots	14
5	Shots on target	4
12	Shots inside the box	8
2	Goalkeeper saves	4
6	Corners	5
2	Offsides	1
68%	Possession	32%
500	Passes	242
415	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Dundee Utd 1.75 · Dundee 1.20. On the pitch: 0-2.
Shots Dundee Utd 23 · Dundee 14; on target 5 and 4.
Dundee Utd kept the ball more (68%).

Referee

D. Dickinson→

4.40

yellows per match

0.16

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 49.9%: “Dundee Utd to win”. Second comes “a draw” at 25.3%.
Behind that distribution are the expected goals: 1.75 for Dundee Utd, 1.20 for Dundee.
The highest double chance value is 75.2% (1X — Dundee Utd win or draw).
These values were computed from 879 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.

Dundee Utd to win49.9%

Draw25.3%

Dundee to win24.8%

When the model has said 45–50% in the past, 1,541 of 3,251 predictions were correct (47.4%). Accuracy record →

11	Fouls	11

4	Yellow cards	3

0	Red cards	0

First half

Actual: 0–1

Dundee Utd lead at half-time27.1%

Level at half-time42.3%

Dundee lead at half-time30.6%

First-half double chance

1X — Dundee Utd ahead or level69.4%

12 — not level at half-time57.7%

X2 — level or Dundee ahead72.9%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 879 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

Dundee Utd: at least 12Actual: 11
Dundee: at least 8Actual: 11

Corners

Dundee Utd: at least 5Actual: 6
Dundee: at least 4Actual: 5

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.

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 Dundee Utd score1.75

Attack: Dundee Utd score close to the league average.

Opponent's defence: Dundee'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 1.75 goals (including home advantage).

How many goals Dundee score1.20

Attack: Dundee score below the league average (16% fewer).

Opponent's defence: Dundee Utd concede 18% more than the league average, which pushes the expectation up.

Result: These two effects give an expectation of 1.20 goals (including the away penalty).

Most likely scorelines

1–112.5%2–110.6%1–08.3%

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.

Week 3 of the season. This prediction was computed from previous seasons. Summer transfers, budget changes and squad rebuilds aren't in the ratings yet — the model can only see that a team has been rebuilt once new results come in.

We measured this: the bias is only pronounced in the opening week. In this week the model's overall accuracy does not separate from the rest of the season — that is, we found no measurable flaw. The one tendency across all opening weeks is that home wins are called slightly too often (said 43.0%, got 41.9%; n=583).

This sample is small and not statistically established, which is why we do not correct the model for it. The correction we tried (pulling probabilities toward the league average) didn't win on holdout, so it wasn't added. Read opening-week predictions with a little more caution.