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Jupiler Pro League · Belgium · Regular Season - 1

KVC Westerlo–Union St. Gilloise

1–5

HT 1–1

Kick-off
Saturday, 8 August 2026 at 18:45
Status
Match Finished
Venue
Het Kuipje, Westerlo
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What the model said, and what happened

✓ Prediction 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

  • 13'⚽KVC WesterloNorman Bassette (assist: I. Sakamoto)
  • 28'⚽Union St. GilloiseP. David (assist: B. Zeneli)
  • 57'⚽Union St. GilloiseR. Florucz (assist: P. David)
  • 64'⚽Union St. GilloiseR. Mofokeng (assist: R. Schoofs)
  • 81'⚽Union St. GilloiseGuilherme Henriques da Silva Carvalho (assist: M. Fuseini)
  • 84'⚽Union St. Gilloise

Match statistics

Match statistics
KVC WesterloUnion St. Gilloise
12Shots19
3Shots on target10
8Shots inside the box15
4Goalkeeper saves2
4Corners5
0Offsides4
55%Possession45%
532Passes435
438Accurate passes

What we expected, and what happened

  • Expected goals before kick-off: KVC Westerlo 1.03 · Union St. Gilloise 1.51. On the pitch: 1-5.
  • Shots KVC Westerlo 12 · Union St. Gilloise 19; on target 3 and 10.
  • KVC Westerlo kept the ball more (55%).

Referee

Bert Put, Belgium→

4.40

yellows per match

0.00

reds per match

5

matches of data

5 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 47.8%: “Union St. Gilloise to win”. Second comes “a draw” at 27.8%.
  • ·Behind that distribution are the expected goals: 1.03 for KVC Westerlo, 1.51 for Union St. Gilloise.
  • ·The highest double chance value is 75.6% (X2 — draw or Union St. Gilloise win).
  • ·These values were computed from 1,128 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.

KVC Westerlo to win24.4%
Draw27.8%
Union St. Gilloise to win47.8%

When the model has said 45–50% in the past, 2,196 of 4,685 predictions were correct (46.9%). Accuracy record →

D. Olaru
343
12Fouls8
1Yellow cards2
0Red cards0

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.

Both teams to score53.0%

When the model has said 50–55% in the past, 3,845 of 7,510 predictions were correct (51.2%). Accuracy record →

Double chance

1X — KVC Westerlo win or draw52.2%
12 — any result other than a draw72.2%
X2 — draw or Union St. Gilloise win75.6%

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 (27.8%).

First half

Actual: 1–1
KVC Westerlo lead at half-time14.9%
Level at half-time40.2%
Union St. Gilloise lead at half-time45.0%

First-half double chance

1X — KVC Westerlo ahead or level55.0%
12 — not level at half-time59.8%
X2 — level or Union St. Gilloise ahead85.1%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1128 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

KVC Westerlo
at least 9Actual: 12
Union St. Gilloise
at least 12Actual: 8

Corners

KVC Westerlo
at least 4Actual: 4
Union St. Gilloise
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.

Goals market

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

The model gives a probability below the baseline (53.1%). 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 KVC Westerlo score1.03

Attack: KVC Westerlo score close to the league average.

Opponent's defence: Union St. Gilloise concede 38% below the league average — a defence that seriously brakes even a strong attack.

Result: These two effects give an expectation of 1.03 goals (including home advantage).

How many goals Union St. Gilloise score1.51

Attack: Union St. Gilloise score close to the league average.

Opponent's defence: KVC Westerlo's defence is close to the league average (1.04×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.51 goals (including the away penalty).

Most likely scorelines

1–114.1%0–111.2%1–210.2%

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 1128 matches played in this league before kick-off; the team with fewer has 124 matches. No data from after the match was used. The model's track record is published unfiltered.

Week 1 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 and we're not hiding it: in the opening week of past seasons the model came in 3.3 points below the accuracy it claimed (n=220) — for the rest of the season it beats its own claim. The tendency points this way, though it is not proof on its own: in the opening week it slightly over-calls home wins (said 42.7%, got 39.5%) and slightly under-calls draws (said 26.1%, got 28.2%).

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.