01 · 2 legs
Safe
- PAOK to win62%
- Over 1.5 goals77%
Greek Super League29°18 km/h
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PAOKPossession & high pressErik Lindberg · · Written from the model's numbers · How the predictions work
Four wins on the trot for PAOK Thessaloniki against Levadiakos since 2023 lay the foundation for a compelling narrative in this Greek Super League clash. With a 66% home win rate from their 32 matches played at home, PAOK Thessaloniki are well-acquainted with victory within their fortress. Their possession-heavy, high-pressing style seems to have Levadiakos's number, and all the numbers agree.
62% is the model probability for a PAOK win, but it's the expected goals (xG) and expected goals against (xGA) figures that underline their superiority. With an xG of 1.90 compared to Levadiakos's 0.92, PAOK Thessaloniki are likely to carve out more quality chances. Their defensive resilience is further highlighted by an xGA of just 0.81, suggesting Levadiakos might struggle to break them down, despite sharing a similar xG per match at 1.6.
Levadiakos, meanwhile, approach with their own possession control style, but the gap in xPoints (PAOK's 52.9 against Levadiakos's 45.4) points to an uphill battle. The 53% probability for over 2.5 goals and a 51% chance for both teams to score make for intriguing bets, given the slight edge towards scoring in the odds. Yet, the most likely scorelines, 1-0, 2-0, or even 1-1 at 11% each, suggest a more conservative outcome may be on the cards.
A 2-0 win for PAOK Thessaloniki feels like the soundest prediction, one reflecting both the strength of their home form and Levadiakos's comparative vulnerabilities. For those looking at the betting markets, the edge is clear. With Bet365 offering odds of 1.80 for a PAOK Thessaloniki win, there's a hint of value in backing the home side to extend their head-to-head dominance.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on Greek Super League data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | PAOK | Levadiakos |
|---|---|---|
| Points | 64 | 52 |
| xPoints | 52.9 | 45.4 |
| xG per match | 1.6 | 1.6 |
| xGA per match | 0.81 | 1.3 |
| xG within 8s of winning the ball | 0.32 | 0.17 |
| xGA within 8s of losing the ball | 0.09 | 0.22 |
| Playing style | PAOK | Levadiakos |
|---|---|---|
| Build-up efficiency | 0.32 | 0.31 |
| Field tilt | 0.65 | 0.53 |
| xT per match | 1.1 | 0.87 |
| xTA per match | 0.7 | 0.85 |
| Won balls, offensive half | 27 | 22 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.33 | 0.3 |
| Pressing efficiency, offensive half | 0.36 | 0.35 |
| Entries into the box per match | 15 | 11 |
| Entries into the box against | 9 | 11 |
| Pass completion % | 0.79 | 0.8 |
| Pass completion % under pressure | 0.74 | 0.74 |
| Passes per match | 426 | 396 |
| Passes against per match | 264 | 290 |
| Switches of play per match | 35 | 34.8 |
| Long balls per match | 36 | 35 |
| Set pieces | PAOK | Levadiakos |
|---|---|---|
| xG from free kicks | 0.08 | 0.07 |
| Corners per match | 5.5 | 4.4 |
| Corners against per match | 3.6 | 4.5 |
| xG per corner | 0.06 | 0.07 |
| xGA per corner against | 0.04 | 0.09 |
| First touch, offensive corners % | 0.45 | 0.53 |
| First touch, defensive corners % | 0.58 | 0.48 |
| Other | PAOK | Levadiakos |
|---|---|---|
| Throw-in control | 0.7 | 0.66 |
| The goalkeepers | Jiri Pavlenka (PAOK) | Yuriy Lodygin (Levadiakos) |
|---|---|---|
| Saves | 40 | 61 |
| Save % | 71% | 62% |
| xG prevented | 52% | 36% |
| Claims | 0 (0%) | 0 (0%) |
The model gives PAOK a 62% win probability. Full 1X2 picture: PAOK 62%, draw 23%, Levadiakos 15%.
The model's most likely final score is 1-0 at 11% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 51% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.