01 · 2 legs
Safe
- Pumas UNAM to win54%
- Over 1.5 goals78%
Liga MXEstadio Olímpico Universitario, Mexico City21°23 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT:
Three wins out of four for Pumas UNAM against Atlético San Luis since 2023 sets a clear tone for this matchup. But a small sample size means we should tread lightly when weighing these head-to-head results against the current form and underlying metrics. The models favor the hosts.
Pumas currently not only lead in points but also boast better xPoints and xGA figures. With 11 points to San Luis' 6, the hosts appear formidable on paper. They average 1.8 expected goals per match, a substantive edge over San Luis' 1.05. This metric is telling, reflecting Pumas' ability to consistently create higher-quality chances, which aligns with their edge in xGA and xG within 8 seconds of winning the ball.
The model highlights a narrow range of likely outcomes: 1-1, 1-0, and 2-1, each hovering around 10-11% probability. There's a 54% probability for over 2.5 goals and a 55% chance that both teams find the net. With neither side particularly strong defensively, and given Pumas' higher attacking xG, a 2-1 home win seems the most plausible outcome, albeit with the distinct possibility of being a cagey affair given San Luis' reliance on counter-attacks.
While the possibility of a draw exists, the hosts' superior form and tactical advantage provide enough of a cushion to lean into this home win scenario.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Pumas UNAM | X | 2 · Atlético San Luis |
|---|---|---|---|
| Betsafe | EV+ 4% 1.92 | 3.60 | 3.55 |
| Betsson | EV+ 4% 1.92 | 3.60 | 3.55 |
| Nordicbet | EV+ 4% 1.92 | 3.60 | 3.55 |
| Pinnacle | EV+ 6% 1.97 | 3.65 | 3.65 |
Odds updated 21 Sept, 16:35
Head-to-head based on Liga MX 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 | Pumas UNAM | Atlético San Luis |
|---|---|---|
| Points | 11 | 6 |
| xPoints | 10 | 9.3 |
| xG per match | 1 | 1 |
| xGA per match | 1.2 | 1.4 |
| xG within 8s of winning the ball | 0.22 | 0.19 |
| xGA within 8s of losing the ball | 0.12 | 0.2 |
| Playing style | Pumas UNAM | Atlético San Luis |
|---|---|---|
| Build-up efficiency | 0.3 | 0.27 |
| Field tilt | 0.39 | 0.47 |
| xT per match | 1.1 | 0.95 |
| xTA per match | 1.1 | 1.1 |
| Won balls, offensive half | 23 | 22 |
| Pressing intensity | 0.25 | 0.23 |
| Pressing efficiency | 0.27 | 0.26 |
| Pressing efficiency, offensive half | 0.24 | 0.2 |
| Entries into the box per match | 11 | 11 |
| Entries into the box against | 13 | 15 |
| Pass completion % | 0.77 | 0.81 |
| Pass completion % under pressure | 0.71 | 0.77 |
| Passes per match | 356 | 429 |
| Passes against per match | 411 | 376 |
| Switches of play per match | 29.7 | 23.3 |
| Long balls per match | 33 | 23 |
| Set pieces | Pumas UNAM | Atlético San Luis |
|---|---|---|
| xG from free kicks | 0.03 | 0.01 |
| Corners per match | 5.3 | 3 |
| Corners against per match | 3.9 | 6.2 |
| xG per corner | 0.01 | 0.03 |
| xGA per corner against | 0.01 | 0.03 |
| First touch, offensive corners % | 0.38 | 0.5 |
| First touch, defensive corners % | 0.65 | 0.44 |
| Other | Pumas UNAM | Atlético San Luis |
|---|---|---|
| Throw-in control | 0.69 | 0.69 |
| The goalkeepers | Keylor Antonio Navas Gamboa (Pumas UNAM) | Andres Sanchez (Atlético San Luis) |
|---|---|---|
| Saves | 20 | 21 |
| Save % | 63% | 66% |
| xG prevented | 41% | 44% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Pumas UNAM a 54% win probability. Full 1X2 picture: Pumas UNAM 54%, draw 26%, Atlético San Luis 20%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 55% 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.