Friday, 21/08/2026 at 17:30
Full timePaksi FC 2:0 Újpest
Paksi FC were the model's likeliest winner before kick-off at 53%. They won 2–0. The biggest difference was Újpest's attack: 2.12 xG against 1.41 projected (+0.71).
The model against the result
- Paksi FC
- 53% What happened
- Draw
- 24%
- Újpest
- 23%
Data coverage Both teams have the full 20-match model window available.
Projected vs produced
Újpest produced 0.71 xG more than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 18
- 22
- On target
- 8
- 5
- Inside the box
- 11
- 13
- xG per shot
- 0.12
- 0.10
Recent form
1.81 xG created 2.02 xGA
- L 0.12 created, 2.21 conceded against Nyiregyháza Spartacus
- W 2.03 created, 1.95 conceded against Puskás Akadémia
- L 0.78 created, 2.35 conceded against Ferencváros TC
- W 2.56 created, 0.98 conceded against Debreceni VSC
- W 3.05 created, 0.93 conceded against Diósgyőri VTK
- L 2.30 created, 3.67 conceded against Puskás Akadémia
1.41 xG created 1.91 xGA
- L 0.76 created, 2.07 conceded against Puskás Akadémia
- L 0.69 created, 1.44 conceded against Ferencváros TC
- L 1.07 created, 2.57 conceded against Debreceni VSC
- W 2.09 created, 2.24 conceded against Debreceni VSC
- W 2.89 created, 0.65 conceded against Kisvárda FC
- D 0.97 created, 2.49 conceded against MTK Budapest
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
3 opportunities flagged2 won1 lost
- Won
- Won
- Lost
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Paksi FC 2+ goals | 1.57 | +1.9% | Won |
| Paksi FC to win | 1.90 | +1.1% | Won |
| Both teams to score | 1.40 | +0.3% | Lost |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Paksi FC | 53.2% | 49.2% | +4.0 pp | 1.88 |
| Draw | 24.1% | 24.9% | −0.8 pp | 4.14 |
| Újpest | 22.7% | 25.9% | −3.3 pp | 4.41 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Paksi FC to score | 90.0% | 85.4% | +4.5 pp | 1.11 |
| Paksi FC not to score | 10.0% | 14.6% | −4.5 pp | 9.95 |
| Újpest to score | 78.3% | 75.0% | +3.3 pp | 1.28 |
| Újpest not to score | 21.7% | 25.0% | −3.3 pp | 4.62 |
| Both teams to score | 71.6% | 66.3% | +5.4 pp | 1.40 |
| Both teams not to score | 28.4% | 33.7% | −5.4 pp | 3.53 |
| Paksi FC 2+ goals | 64.9% | 58.9% | +6.0 pp | 1.54 |
| Paksi FC at most 1 goal | 35.1% | 41.1% | −6.0 pp | 2.85 |
| Újpest 2+ goals | 42.2% | 42.3% | −0.1 pp | 2.37 |
| Újpest at most 1 goal | 57.8% | 57.7% | +0.1 pp | 1.73 |
| Over 1.5 goals | 89.9% | 86.4% | +3.5 pp | 1.11 |
| Under 1.5 goals | 10.1% | 13.6% | −3.5 pp | 9.94 |
| Over 2.5 goals | 70.7% | 67.3% | +3.5 pp | 1.41 |
| Under 2.5 goals | 29.3% | 32.7% | −3.5 pp | 3.41 |
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)
- Paksi FC sample
- 20 matches
- Újpest sample
- 20 matches
- Computed
- 6 hours before kick-off
- Prices taken
- 6 hours 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.