Super Liga · Serbia · Regular Season - 1

Novi Pazar–Radnicki 1923

1–0

HT 1–0

Kick-off: Saturday, 18 July 2026 at 18:00
Status: Match Finished

Goals and red cards

33'Novi PazarIvan Davidović (assist: D. Sadi)

Match statistics

Match statistics
Novi Pazar		Radnicki 1923
13	Shots	14
5	Shots on target	4
8	Shots inside the box	10
4	Goalkeeper saves	4
4	Corners	11
0	Offsides	0
34%	Possession	66%
206	Passes	377
135	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Novi Pazar 1.43 · Radnicki 1923 1.17. On the pitch: 1-0.
Shots Novi Pazar 13 · Radnicki 1923 14; on target 5 and 4.
Radnicki 1923 kept the ball more (66%).

Referee

N. Minakovic→

5.17

yellows per match

0.42

reds per match

matches of data

12 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 42.4%: “Novi Pazar to win”. Second comes “Radnicki 1923 to win” at 29.5%.
Behind that distribution are the expected goals: 1.43 for Novi Pazar, 1.17 for Radnicki 1923.
The highest double chance value is 71.9% (12 — any result other than a draw).
These values were computed from 1,074 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.

Novi Pazar to win42.4%

Draw28.1%

Radnicki 1923 to win29.5%

When the model has said 40–45% in the past, 1,778 of 3,998 predictions were correct (44.5%). Accuracy record →

13	Fouls	14

3	Yellow cards	1

0	Red cards	0

First half

Actual: 1–0

Novi Pazar lead at half-time34.2%

Level at half-time42.7%

Radnicki 1923 lead at half-time23.2%

First-half double chance

1X — Novi Pazar ahead or level76.8%

12 — not level at half-time57.3%

X2 — level or Radnicki 1923 ahead65.8%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1074 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

Novi Pazar: at least 15Actual: 13
Radnicki 1923: at least 12Actual: 14

Corners

Novi Pazar: at least 3Actual: 4
Radnicki 1923: at least 3Actual: 11

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 Novi Pazar score1.43

Attack: Novi Pazar score close to the league average.

Opponent's defence: Radnicki 1923's defence is close to the league average (0.94×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.43 goals (including home advantage).

How many goals Radnicki 1923 score1.17

Attack: Radnicki 1923 score close to the league average.

Opponent's defence: Novi Pazar's defence is close to the league average (0.97×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.17 goals (including the away penalty).

Most likely scorelines

1–114.3%2–19.7%1–09.7%

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.