1. SNL · Slovenia · Regular Season - 1

Olimpija Ljubljana–Bravo

0–2

HT 0–1

Kick-off: Saturday, 18 July 2026 at 18:15
Status: Match Finished

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Goals and red cards

23'BravoS. Nuhanovic
90'BravoO. Mazie (assist: Marwann Nzuzi)

What we expected, and what happened

Expected goals before kick-off: Olimpija Ljubljana 1.61 · Bravo 1.16. On the pitch: 0-2.

Referee

R. Obrenovic→

4.58

yellows per match

0.26

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 47.2%: “Olimpija Ljubljana to win”. Second comes “a draw” at 26.6%.
Behind that distribution are the expected goals: 1.61 for Olimpija Ljubljana, 1.16 for Bravo.
The highest double chance value is 73.8% (1X — Olimpija Ljubljana win or draw).
These values were computed from 703 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.

Olimpija Ljubljana to win47.2%

Draw26.6%

Bravo to win26.2%

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

Double chance

1X — Olimpija Ljubljana win or draw73.8%

12 — any result other than a draw73.4%

X2 — draw or Bravo win52.8%

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 (26.6%).

First half

Actual: 0–1

Olimpija Ljubljana lead at half-time38.1%

Level at half-time41.2%

Bravo lead at half-time20.8%

First-half double chance

1X — Olimpija Ljubljana ahead or level79.2%

12 — not level at half-time58.8%

X2 — level or Bravo ahead61.9%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 702 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

Olimpija Ljubljana: at least 11
Bravo: at least 11

Corners

Olimpija Ljubljana: at least 5
Bravo: at least 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

3+ goals53.0%

When the model has said 50–55% in the past, 1,761 of 3,286 predictions were correct (53.6%). Accuracy record →

The league's historical "3+ goals" rate is 52.3%. 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 Olimpija Ljubljana score1.61

Attack: Olimpija Ljubljana score close to the league average.

Opponent's defence: Bravo's defence is close to the league average (0.93×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.61 goals (including home advantage).

How many goals Bravo score1.16

Attack: Bravo score close to the league average.

Opponent's defence: Olimpija Ljubljana concede 27% fewer than the league average, which pulls the expectation down.

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

Most likely scorelines

1–113.4%2–110.4%1–09.2%

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.

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.