Bundesliga · Germany · Regular Season - 1

RB Leipzig–Borussia Mönchengladbach

3–0

HT 1–0

Kick-off: Saturday, 29 August 2026 at 13:30
Status: Match Finished

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

25'RB LeipzigR. Baku (assist: T. Gomis)
49'RB LeipzigA. Nusa (assist: T. Gomis)
66'RB LeipzigR. Reitz (assist: C. Nkunku)

Match statistics

Match statistics
RB Leipzig		Borussia Mönchengladbach
25	Shots	15
11	Shots on target	4
19	Shots inside the box	10
4	Goalkeeper saves	8
7	Corners	6
0	Offsides	5
47%	Possession	53%
427	Passes	475
358	Accurate passes

What we expected, and what happened

Expected goals before kick-off: RB Leipzig 2.11 · Borussia Mönchengladbach 1.16. On the pitch: 3-0.
Shots RB Leipzig 25 · Borussia Mönchengladbach 15; on target 11 and 4.

Unavailable players

RB Leipzig

A. Ouedraogoout · Shoulder Injury
C. Baumgartnerout · Thigh Injury
O. Nylandout · Foot Injury
Romulo Cardosoout · Knee Injury
A. Konedoubtful · Shoulder Injury
L. Klostermanndoubtful · Groin Injury
M. Estèvedoubtful · Thigh Injury

Borussia Mönchengladbach

F. C. Chiarodiaout · Muscle Injury
J. Castropout · Shoulder Injury
T. Cvancaraout · Groin Injury
Y. Konoplyaout · Knee Injury
Z. Unoout · Muscle Injury

Provider data — may change until the line-ups are announced. Last updated: Wednesday, 16 September 2026 at 15:11.

Referee

Sven Jablonski, Germany→

3.15

yellows per match

0.00

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 61.3%: “RB Leipzig to win”. Second comes “a draw” at 21.4%.
Behind that distribution are the expected goals: 2.16 for RB Leipzig, 1.12 for Borussia Mönchengladbach.
The highest double chance value is 82.7% (1X — RB Leipzig win or draw).
These values were computed from 1,225 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.

RB Leipzig to win61.3%

Draw21.4%

Borussia Mönchengladbach to win17.3%

When the model has said 60–65% in the past, 847 of 1,354 predictions were correct (62.6%). Accuracy record →

10	Fouls	13

1	Yellow cards	0

0	Red cards	0

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.

When the model has said 60–65% in the past, 1,567 of 2,553 predictions were correct (61.4%). Accuracy record →

Double chance

1X — RB Leipzig win or draw82.7%

12 — any result other than a draw78.6%

X2 — draw or Borussia Mönchengladbach win38.7%

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 (21.4%).

First half

Actual: 1–0

RB Leipzig lead at half-time52.9%

Level at half-time34.8%

Borussia Mönchengladbach lead at half-time12.3%

First-half double chance

1X — RB Leipzig ahead or level87.7%

12 — not level at half-time65.2%

X2 — level or Borussia Mönchengladbach ahead47.1%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1225 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

RB Leipzig: at least 9Actual: 10
Borussia Mönchengladbach: at least 9Actual: 13

Corners

RB Leipzig: at least 5Actual: 7
Borussia Mönchengladbach: at least 3Actual: 6

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

3+ goals64.7%

When the model has said 60–65% in the past, 1,139 of 1,798 predictions were correct (63.3%). Accuracy record →

The league's historical "3+ goals" rate is 61.6%. For this match the model gives a value above that baseline — and in backtesting the model's edge was confirmed only in this direction.

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 RB Leipzig score2.11

Attack: RB Leipzig score above the league average (19% more).

Opponent's defence: Borussia Mönchengladbach's defence is close to the league average (0.99×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 2.11 goals (including home advantage).

How many goals Borussia Mönchengladbach score1.16

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

Opponent's defence: RB Leipzig's defence is close to the league average (0.96×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.16 goals (including the away penalty).

Most likely scorelines

2–110.9%1–110.2%2–08.9%

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 1225 matches played in this league before kick-off; the team with fewer has 136 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.