2. Bundesliga · Germany · Regular Season - 1

VfL Bochum–Hertha BSC

0–1

HT 0–1

Kick-off: Friday, 7 August 2026 at 18:30
Status: Match Finished
Venue: Vonovia Ruhrstadion, Bochum

What the model said, and what happened

Incorrect — we gave this result 26%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

39'Hertha BSCS. Grønning (assist: S. Gouram)

Match statistics

Match statistics
VfL Bochum		Hertha BSC
13	Shots	11
3	Shots on target	2
8	Shots inside the box	8
1	Goalkeeper saves	3
5	Corners	2
2	Offsides	2
56%	Possession	44%
443	Passes	341
347	Accurate passes

What we expected, and what happened

Expected goals before kick-off: VfL Bochum 1.76 · Hertha BSC 1.26. On the pitch: 0-1.
Shots VfL Bochum 13 · Hertha BSC 11; on target 3 and 2.
VfL Bochum kept the ball more (56%).

Referee

Wolfgang Haslberger, Germany→

5.40

yellows per match

0.00

reds per match

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 48.8%: “VfL Bochum to win”. Second comes “Hertha BSC to win” at 26.0%.
Behind that distribution are the expected goals: 1.76 for VfL Bochum, 1.26 for Hertha BSC.
The highest double chance value is 74.7% (12 — any result other than a draw).
These values were computed from 1,224 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.

VfL Bochum to win48.8%

Draw25.3%

Hertha BSC to win26.0%

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

18	Fouls	13

2	Yellow cards	5

0	Red cards	0

First half

Actual: 0–1

VfL Bochum lead at half-time29.1%

Level at half-time42.0%

Hertha BSC lead at half-time28.9%

First-half double chance

1X — VfL Bochum ahead or level71.1%

12 — not level at half-time58.0%

X2 — level or Hertha BSC ahead70.9%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1224 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

VfL Bochum: at least 11Actual: 18
Hertha BSC: at least 10Actual: 13

Corners

VfL Bochum: at least 5Actual: 5
Hertha BSC: at least 4Actual: 2

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 VfL Bochum score1.76

Attack: VfL Bochum score close to the league average.

Opponent's defence: Hertha BSC's defence is close to the league average (1.03×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.76 goals (including home advantage).

How many goals Hertha BSC score1.26

Attack: Hertha BSC score close to the league average.

Opponent's defence: VfL Bochum's defence is close to the league average (1.01×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.26 goals (including the away penalty).

Most likely scorelines

1–112.3%2–110.5%1–07.7%

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 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.