NB I · Hungary · Regular Season - 1

Debreceni VSC–Puskas Academy

0–2

HT 0–2

Kick-off: Sunday, 26 July 2026 at 16:00
Status: Match Finished
Venue: Nagyerdei Stadion, Debrecen

Goals and red cards

12'Puskas AcademyA. Németh (assist: D. Lukacs)
29'Puskas AcademyA. Németh (assist: D. Lukacs)
90+3'Puskas AcademyLamin Colley · red card

Match statistics

Match statistics
Debreceni VSC		Puskas Academy
20	Shots	10
4	Shots on target	4
8	Shots inside the box	9
2	Goalkeeper saves	2
7	Corners	4
1	Offsides	2
60%	Possession	40%
441	Passes	301
356	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Debreceni VSC 1.51 · Puskas Academy 1.31. On the pitch: 0-2.
Shots Debreceni VSC 20 · Puskas Academy 10; on target 4 and 4.
Debreceni VSC kept the ball more (60%).

Referee

B. Berke→

4.27

yellows per match

0.16

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 41.2%: “Debreceni VSC to win”. Second comes “Puskas Academy to win” at 31.7%.
Behind that distribution are the expected goals: 1.51 for Debreceni VSC, 1.31 for Puskas Academy.
The highest double chance value is 72.9% (12 — any result other than a draw).
These values were computed from 795 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.

Debreceni VSC to win41.2%

Draw27.1%

Puskas Academy to win31.7%

When the model has said 40–45% in the past, 2,356 of 5,296 predictions were correct (44.5%). Accuracy record →

11	Fouls	11

2	Yellow cards	4

0	Red cards	1

First half

Actual: 0–2

Debreceni VSC lead at half-time31.2%

Level at half-time42.5%

Puskas Academy lead at half-time26.3%

First-half double chance

1X — Debreceni VSC ahead or level73.7%

12 — not level at half-time57.5%

X2 — level or Puskas Academy ahead68.8%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 795 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

Debreceni VSC: at least 10Actual: 11
Puskas Academy: at least 16Actual: 11

Corners

Debreceni VSC: at least 4Actual: 7
Puskas Academy: at least 3Actual: 4

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 Debreceni VSC score1.51

Attack: Debreceni VSC score close to the league average.

Opponent's defence: Puskas Academy's defence is close to the league average (0.89×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.51 goals (including home advantage).

How many goals Puskas Academy score1.31

Attack: Puskas Academy score close to the league average.

Opponent's defence: Debreceni VSC's defence is close to the league average (0.91×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.31 goals (including the away penalty).

Most likely scorelines

1–113.5%2–19.8%1–28.4%

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.