01 · 2 legs
Safe
- Double chance Portsmouth or draw (1X)70%
- Under 3.5 goals77%
EFL ChampionshipFratton Park, Portsmouth21°14 km/h
Läs på svenskaAnna Karlsson · · How the predictions work
Four straight losses are casting a shadow over Queens Park Rangers, and this troubling streak puts them on the back foot as they travel to Portsmouth. Despite leading Portsmouth by three points in the standings, the data paints a nuanced picture that leans toward the home side. Portsmouth's solid offensive consistency, evidenced by scoring in their last nine league games, contrasts sharply with QPR's recent struggles, suggesting a favorable setup for the hosts.
Portsmouth have historically edged out in their recent head-to-heads with QPR, winning two of their last four encounters since 2023. However, with only four matches in this sample, this head-to-head record is less telling than the current form and expected goals. Portsmouth's attack is expected to generate 1.33 goals compared to QPR's 1.10, hinting at a marginal advantage for the home side in terms of firepower.
Queens Park Rangers may find solace in their superior points and xPoints totals, yet these metrics are overshadowed by their poor run of form. The expected goals against (xGA) are identical for both sides at 1.3, suggesting that any breakthrough will likely hinge on attacking creativity rather than defensive prowess. The match is expected to be a tightly controlled affair, given both teams' preference for possession-based play, reducing the likelihood of a high-scoring game.
With the over 2.5 goals sitting at just 44% and both teams to score at a slim 49%, the smart money seems to be on a low-scoring affair. Pinnacle's odds of 1.877 for under 2.5 goals represent a 6% edge, an attractive proposition in a match where a 1-0 scoreline for Portsmouth seems plausible. Additionally, the home win at 2.33 also presents a slight value bet, aligning with the model's 44% probability. Betting on Portsmouth to edge out a narrow victory while keeping the scoreline under 2.5 goals could yield dividends for the astute punter.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Portsmouth | X | 2 · Queens Park Rangers |
|---|---|---|---|
| Pinnacle | EV+ 3% 2.33 | 3.35 | 3.08 |
Odds updated 11 Aug, 15:53
Head-to-head based on Championship 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 | Portsmouth | Queens Park Rangers |
|---|---|---|
| Points | 55 | 58 |
| xPoints | 65.3 | 66.4 |
| xG per match | 1.3 | 1.3 |
| xGA per match | 1.3 | 1.3 |
| xG within 8s of winning the ball | 0.18 | 0.21 |
| xGA within 8s of losing the ball | 0.21 | 0.24 |
| Playing style | Portsmouth | Queens Park Rangers |
|---|---|---|
| Build-up efficiency | 0.34 | 0.3 |
| Field tilt | 0.51 | 0.47 |
| xT per match | 0.74 | 0.88 |
| xTA per match | 0.78 | 0.87 |
| Won balls, offensive half | 29 | 24 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.32 | 0.28 |
| Pressing efficiency, offensive half | 0.33 | 0.31 |
| Entries into the box per match | 11 | 12 |
| Entries into the box against | 10 | 11 |
| Pass completion % | 0.7 | 0.72 |
| Pass completion % under pressure | 0.67 | 0.69 |
| Passes per match | 295 | 296 |
| Passes against per match | 297 | 363 |
| Switches of play per match | 23.8 | 22.5 |
| Long balls per match | 33 | 30 |
| Set pieces | Portsmouth | Queens Park Rangers |
|---|---|---|
| xG from free kicks | 0.11 | 0.07 |
| Corners per match | 5.7 | 4.8 |
| Corners against per match | 5.1 | 5.2 |
| xG per corner | 0.06 | 0.06 |
| xGA per corner against | 0.06 | 0.05 |
| First touch, offensive corners % | 0.35 | 0.28 |
| First touch, defensive corners % | 0.61 | 0.67 |
| Other | Portsmouth | Queens Park Rangers |
|---|---|---|
| Throw-in control | 0.7 | 0.69 |
| The goalkeepers | Nicolas Schmid (Portsmouth) | Joe Walsh (Queens Park Rangers) |
|---|---|---|
| Saves | 81 | 68 |
| Save % | 65% | 62% |
| xG prevented | 49% | 42% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Portsmouth a 44% win probability. Full 1X2 picture: Portsmouth 44%, draw 28%, Queens Park Rangers 28%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 44% and under at 56%.
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.