EFL ChampionshipFratton Park, Portsmouth21°14 km/h

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    PortsmouthPortsmouthPossession control
    vs
    Queens Park RangersQueens Park RangersPossession control
    The model's lean: 1 · Portsmouth (44%)Best value by the model: Under 2,5 @ 1.88 (+6 %)

    PortsmouthQueens Park Rangers · EFL Championship

    1 · Portsmouth 44%X 28%28% Queens Park Rangers · 2

    Analysis: PortsmouthQueens Park Rangers

    Anna 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.

    PortsmouthPortsmouth
    Form WWLWD
    League ranking xG #11xGA #7xT #22xP/match #11Points #18
    Key players
    • Colby BishopFxG 0.29 · xT 0.00
    • Andre DozzellCMxG 0.02 · xT 0.06
    • Marlon PackCDMxG 0.12 · xT 0.09
    Queens Park RangersQueens Park Rangers
    Form DLLLL
    League ranking xG #10xGA #9xT #13xP/match #8Points #15
    Key players
    • Richard KoneFxG 0.34 · xT 0.02
    • Nicolas MadsenCMxG 0.11 · xT 0.11
    • Ronnie EdwardsCBxG 0.07 · xT 0.09

    Match prediction: PortsmouthQueens Park Rangers

    Predicted score matrix

    Queens Park Rangers
    Portsmouth
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–19.3%
    0–25.3%
    0–31.9%
    0–4+0.7%
    1
    1–011.4%
    1–113.3%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.8%
    2–18.6%
    2–24.7%
    2–31.7%
    2–4+0.6%
    3
    3–03.5%
    3–13.8%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.5%
    4+–11.7%
    4+–20.9%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-011%
    3. 3.0-19%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,331,10
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.88EV+6%
    Over 2,544%
    @1.94

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Portsmouth or draw (1X)70%
    • Under 3.5 goals77%

    Combined probability

    54%

    Fair odds

    1.86

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Double chance Portsmouth or draw (1X)70%
    • Under 2.5 goals56%
    • Adrian Segecic to score31%

    Combined probability

    13%

    Fair odds

    7.68

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score49%
    • Over 2.5 goals44%
    • Adrian Segecic to score31%
    • Luke Gareth Le Roux to be booked24%

    Combined probability

    3%

    Fair odds

    37.02

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 2.556% probability@1.88PinnacleEV+6%
    • 1 · Portsmouth44% probability@2.33PinnacleEV+3%
    Bookmaker1 · PortsmouthX2 · Queens Park Rangers
    Pinnacle
    EV+ 3%
    2.33
    3.353.08

    Odds updated 11 Aug, 15:53

    Statistics

    Head-to-head

    4 matches
    Portsmouth 2Draw 1Queens Park Rangers 1
    Goals: 69 (⌀ 3,8)

    Head-to-head based on Championship data since 2023.

    Key facts

    • Portsmouth have scored in 9 consecutive league matches.
    • Queens Park Rangers have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Portsmouth
    Queens Park Rangers
    When goals are scored and conceded 2025
    Portsmouth (4964)
    Queens Park Rangers (6173)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Portsmouth
    Andre Dozzell: 125 passningar, xT 0.33DozzellJordan Williams: 97 passningar, xT 0.17WilliamsConnor Ogilvie: 76 passningar, xT 0.08OgilvieConor Shaughnessy: 69 passningar, xT 0.05ShaughnessyRegan Poole: 68 passningar, xT 0.07PooleMarlon Pack: 65 passningar, xT 0.21PackLuke Gareth Le Roux: 64 passningar, xT 0.01RouxJohn Swift: 60 passningar, xT 0.05SwiftAdrian Segecic: 59 passningar, xT -0.01SegecicNicolas Schmid: 54 passningar, xT 0.17SchmidIbane Bowat: 53 passningar, xT 0.07Bowat
    Queens Park Rangers
    Ronnie Edwards: 293 passningar, xT 0.63EdwardsRhys Norrington Davies: 177 passningar, xT 0.43DaviesKieran Morgan: 162 passningar, xT 0.36MorganJake Clarke Salter: 134 passningar, xT 0.38SalterHarvey Vale: 132 passningar, xT 0.81ValeJonathan Varane: 107 passningar, xT 0.2VaraneAmadou Salif Mbengue: 106 passningar, xT 0.2MbengueJoe Walsh: 105 passningar, xT 0.07WalshIlias Chair: 70 passningar, xT 0.1ChairKealey Otieno Adamson: 66 passningar, xT -0.07AdamsonSteve Cook: 63 passningar, xT 0.07Cook
    xT networks

    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.

    Portsmouth
    Andre Dozzell: 125 passningar, xT 0.33DozzellJordan Williams: 97 passningar, xT 0.17WilliamsConnor Ogilvie: 76 passningar, xT 0.08OgilvieConor Shaughnessy: 69 passningar, xT 0.05ShaughnessyRegan Poole: 68 passningar, xT 0.07PooleMarlon Pack: 65 passningar, xT 0.21PackLuke Gareth Le Roux: 64 passningar, xT 0.01RouxJohn Swift: 60 passningar, xT 0.05SwiftAdrian Segecic: 59 passningar, xT -0.01SegecicNicolas Schmid: 54 passningar, xT 0.17SchmidIbane Bowat: 53 passningar, xT 0.07Bowat
    Queens Park Rangers
    Ronnie Edwards: 293 passningar, xT 0.63EdwardsRhys Norrington Davies: 177 passningar, xT 0.43DaviesKieran Morgan: 162 passningar, xT 0.36MorganJake Clarke Salter: 134 passningar, xT 0.38SalterHarvey Vale: 132 passningar, xT 0.81ValeJonathan Varane: 107 passningar, xT 0.2VaraneAmadou Salif Mbengue: 106 passningar, xT 0.2MbengueJoe Walsh: 105 passningar, xT 0.07WalshIlias Chair: 70 passningar, xT 0.1ChairKealey Otieno Adamson: 66 passningar, xT -0.07AdamsonSteve Cook: 63 passningar, xT 0.07Cook

    The teams in numbers

    PerformancePortsmouthQueens Park Rangers
    Points5558
    xPoints65.366.4
    xG per match1.31.3
    xGA per match1.31.3
    xG within 8s of winning the ball0.180.21
    xGA within 8s of losing the ball0.210.24
    Playing stylePortsmouthQueens Park Rangers
    Build-up efficiency0.340.3
    Field tilt0.510.47
    xT per match0.740.88
    xTA per match0.780.87
    Won balls, offensive half2924
    Pressing intensity0.230.23
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.330.31
    Entries into the box per match1112
    Entries into the box against1011
    Pass completion %0.70.72
    Pass completion % under pressure0.670.69
    Passes per match295296
    Passes against per match297363
    Switches of play per match23.822.5
    Long balls per match3330
    Set piecesPortsmouthQueens Park Rangers
    xG from free kicks0.110.07
    Corners per match5.74.8
    Corners against per match5.15.2
    xG per corner0.060.06
    xGA per corner against0.060.05
    First touch, offensive corners %0.350.28
    First touch, defensive corners %0.610.67
    OtherPortsmouthQueens Park Rangers
    Throw-in control0.70.69
    The goalkeepersNicolas Schmid (Portsmouth)Joe Walsh (Queens Park Rangers)
    Saves8168
    Save %65%62%
    xG prevented49%42%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Portsmouth vs Queens Park Rangers according to our model?

    The model gives Portsmouth a 44% win probability. Full 1X2 picture: Portsmouth 44%, draw 28%, Queens Park Rangers 28%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 49% according to the model.

    Why are some legs locked in the bet builder?

    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.

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    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.