01 · 2 legs
Safe
- Double chance Girona or draw (1X)68%
- Under 3.5 goals78%
Segunda División23°26 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Las Palmas have six points compared to Girona's one, but the hosts hold a slight edge in expected goals per match, registering 1.4 versus 1.1 for the visitors. Despite the points disparity, Girona’s goal creation stats offer a hint of potential, especially considering their stronger xPoints profile. Still, both teams embrace a possession-focused style, which often leads to tightly contested matches.
Head-to-head data is sparse, so current form and expected goals are more telling. Girona's xGA of 1.0 per match suggests they have a marginally sturdier defense compared to Las Palmas, who concede 1.1 xGA per match. This could tilt the balance in a game where the model's most likely scorelines are tight affairs like 1-1 (13%) and 1-0 (11%). With under 2.5 goals predicted at 57% likelihood, don't expect a flurry of scoring chances.
For punters seeking value, the away win price of 4.7 with Betsafe, Betsson, and Nordicbet presents a tempting proposition. The model assesses Las Palmas at a 30% chance to win, providing a significant 43% betting edge at these odds. While Girona's form hints at improvement, the odds on the visitors are hard to ignore for those seeking value on the betting desk.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Girona | X | 2 · Las Palmas |
|---|---|---|---|
| Betsafe | 1.70 | 3.45 | EV+ 40% 4.60 |
| Betsson | 1.70 | 3.45 | EV+ 40% 4.60 |
| Nordicbet | 1.70 | 3.45 | EV+ 40% 4.60 |
| Pinnacle | 1.72 | 3.69 | EV+ 49% 4.89 |
Odds updated 28 Aug, 12:27
Market signal
The market has moved clearly towards over 2.5 goals since 25 August — the odds have shortened from 1.94 to 1.81 (−7%).
1.65 → 1.72
3.84 → 3.69
5.11 → 4.89
1.94 → 1.81
Pinnacle · 8 recorded price levels · 25/08/2026 → 28/08/2026 · fixed scale 10 percentage points
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 | Girona | Las Palmas |
|---|---|---|
| Points | 1 | 6 |
| xPoints | 2.6 | 2.4 |
| xG per match | 1.4 | 1.1 |
| xGA per match | 1 | 1.1 |
| xG within 8s of winning the ball | 0.04 | 0.19 |
| xGA within 8s of losing the ball | 0.51 | 0.13 |
| Playing style | Girona | Las Palmas |
|---|---|---|
| Build-up efficiency | 0.32 | 0.27 |
| Field tilt | 0.79 | 0.46 |
| xT per match | 1.6 | 0.87 |
| xTA per match | 0.78 | 1 |
| Won balls, offensive half | 24 | 17 |
| Pressing intensity | 0.2 | 0.25 |
| Pressing efficiency | 0.33 | 0.27 |
| Pressing efficiency, offensive half | 0.32 | 0.22 |
| Entries into the box per match | 18 | 13 |
| Entries into the box against | 6 | 13 |
| Pass completion % | 0.82 | 0.81 |
| Pass completion % under pressure | 0.77 | 0.79 |
| Passes per match | 494 | 416 |
| Passes against per match | 272 | 306 |
| Switches of play per match | 37.9 | 20.6 |
| Long balls per match | 38 | 29 |
| Set pieces | Girona | Las Palmas |
|---|---|---|
| xG from free kicks | 0.19 | 0.04 |
| Corners per match | 5.9 | 3.5 |
| Corners against per match | 0.99 | 6 |
| xG per corner | 0.01 | 0 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.42 | 0.29 |
| First touch, defensive corners % | 0 | 0.5 |
| Other | Girona | Las Palmas |
|---|---|---|
| Throw-in control | 0.89 | 0.65 |
| The goalkeepers | Paulo Gazzaniga (Girona) | José Antonio Caro Díaz (Las Palmas) |
|---|---|---|
| Saves | 3 | 7 |
| Save % | 50% | 88% |
| xG prevented | 19% | 67% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Girona a 43% win probability. Full 1X2 picture: Girona 43%, draw 27%, Las Palmas 30%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 43% and under at 57%.
The probability of both teams scoring is 49% 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.