Sunday, 06/09/2026 at 15:30
Full timeZalaegerszegi TE 1:0 Puskás Akadémia
Zalaegerszegi TE were the model's likeliest winner before kick-off at 36%. They won 1–0. Both teams produced xG close to their pre-match projections.
The model against the result
- Zalaegerszegi TE
- 36% What happened
- Draw
- 28%
- Puskás Akadémia
- 35%
Data coverage Both teams have the full 20-match model window available.
Projected vs produced
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 8
- 16
- On target
- 2
- 4
- Inside the box
- 4
- 10
- xG per shot
- 0.16
- 0.09
Recent form
0.92 xG created 1.77 xGA
- L 1.04 created, 1.37 conceded against Nyiregyháza Spartacus
- L 1.17 created, 2.03 conceded against Puskás Akadémia
- L 0.93 created, 1.70 conceded against Ferencváros TC
- L 0.42 created, 2.36 conceded against Vasas
- L 1.36 created, 2.11 conceded against Ferencváros TC
- L 0.61 created, 1.02 conceded against Budapest Honvéd FC
2.48 xG created 2.16 xGA
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
3 opportunities flagged0 won3 lost
- Lost
- Lost
- Lost
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Both teams to score | 1.57 | +4.4% | Lost |
| Over 1.5 goals | 1.22 | +3.1% | Lost |
| Over 2.5 goals | 1.70 | +2.1% | Lost |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Zalaegerszegi TE | 36.1% | 34.8% | +1.3 pp | 2.77 |
| Draw | 28.4% | 26.6% | +1.8 pp | 3.52 |
| Puskás Akadémia | 35.5% | 38.5% | −3.1 pp | 2.82 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Both teams to score | 66.5% | 58.9% | +7.6 pp | 1.50 |
| Both teams not to score | 33.5% | 41.1% | −7.6 pp | 2.98 |
| Over 1.5 goals | 84.3% | 76.6% | +7.7 pp | 1.19 |
| Under 1.5 goals | 15.7% | 23.4% | −7.7 pp | 6.38 |
| Over 2.5 goals | 60.0% | 55.3% | +4.8 pp | 1.67 |
| Under 2.5 goals | 40.0% | 44.7% | −4.8 pp | 2.50 |
Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.
Model details
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- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Zalaegerszegi TE sample
- 20 matches
- Puskás Akadémia sample
- 20 matches
- Computed
- 1 hour before kick-off
- Prices taken
- 1 hour before kick-off
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.