EFL League OneKenilworth Road, Luton14°15 km/h

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    Luton TownLuton TownPossession control
    vs
    Notts CountyNotts CountyLow block & direct
    The model's lean: 1 · Luton Town (53%)Best value by the model: 2 · Notts County @ 4.90 (+8 %)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    Luton TownNotts County · EFL League One

    1 · Luton Town 53%X 25%22% Notts County · 2

    Analysis: Luton TownNotts County

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Four straight wins for Luton Town have painted a picture of dominance that isn't just a coincidence. This streak is backed by their ability to find the net in 15 consecutive league matches, underscoring their attacking prowess. With a model probability of 53% favoring Luton Town, it's clear which way the wind is blowing. They're up against a Notts County side that, while capable of the unexpected, has only managed a single point so far this season.

    Luton Town have a penchant for possession football, which could prove problematic for Notts County's strategy of sitting back and hitting on the break. The visitors are likely to find themselves under the cosh at Kenilworth Road, where Luton Town have historically won 57% of their matches. However, this historical dominance is tempered somewhat by Luton Town's tendency to concede, with an xGA of 1.6 per match.

    Despite the small head-to-head sample size, it's the broader data that leans towards a Luton Town victory. The expected goals tally favors Luton, 1.63 to 1.16. However, the most likely scorelines—1-1 (12%) and 1-0 (10%)—suggest that Notts County could still make things interesting, particularly with their defensive approach. This leans the match towards a result under 2.5 goals, though the over is a slight favorite at 53%.

    Notts County might be on the back foot, but their value in the betting market is undeniable. With odds of 4.9 offered by Betsafe, Betsson, and Nordicbet, along with a model rating of 22% for a Notts County win, the away side presents an intriguing value bet with an 8% edge. While the smart money is on Luton Town extending their winning run, there's a shrewd angle in backing the underdog where the numbers suggest an opportunity.

    Luton TownLuton Town
    Form DWWWW
    League ranking xG #8xGA #19xT #16xP/match #17Points #4
    Key players
    • Jordan Charles ClarkCMxG 0.11 · xT 0.08
    • Jake RichardsRWxG 0.44 · xT 0.17
    • George Thomas JohnstonCBxG 0.00 · xT 0.15
    Notts CountyNotts County
    Form D
    League ranking xG #10xGA #9xT #14xP/match #4Points #9
    Key players
    • Darius LipsiucLWBxG 0.22 · xT 0.12
    • Oliver Joseph CooperFxG 0.00 · xT 0.03
    • Jacob BedeauCBxG 0.00 · xT 0.07

    Match prediction: Luton TownNotts County

    Predicted score matrix

    Notts County
    Luton Town
    0
    1
    2
    3
    4+
    0
    0–06.5%
    0–16.8%
    0–24.1%
    0–31.6%
    0–4+0.6%
    1
    1–09.7%
    1–111.9%
    1–26.7%
    1–32.6%
    1–4+1.0%
    2
    2–08.2%
    2–19.5%
    2–25.5%
    2–32.1%
    2–4+0.8%
    3
    3–04.4%
    3–15.1%
    3–23.0%
    3–31.2%
    3–4+0.4%
    4+
    4+–02.6%
    4+–13.0%
    4+–21.8%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.2-08%
    5. 5.0-17%
    Expected goals
    1,631,16
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.02
    Over 2,553%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Luton Town to win53%
    • Over 1.5 goals77%

    Combined probability

    38%

    Fair odds

    2.62

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

    02 · 3 legs

    Balanced

    • Luton Town to win53%
    • Over 2.5 goals53%
    • Nahki Michael Wells to score34%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score56%
    • Over 2.5 goals53%
    • Nahki Michael Wells to score34%
    • Jacob Mitchell Bedeau to be booked21%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    The model's value spots

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

    • 2 · Notts County22% probability@4.90BetsafeEV+8%reference odds
    • 2 · Notts County22% probability@4.90BetssonEV+8%reference odds
    • 2 · Notts County22% probability@4.90NordicbetEV+8%reference odds
    Bookmaker1 · Luton TownX2 · Notts County
    Betsafe1.623.85
    EV+ 8%
    4.90
    Betsson1.623.85
    EV+ 8%
    4.90
    Nordicbet1.623.85
    EV+ 8%
    4.90

    Odds updated 18 Aug, 14:36

    Odds movement

    10 %
    60 %55 %

    1.621.62

    X0 %
    26 %21 %

    3.853.85

    20 %
    21 %16 %

    4.904.90

    Over 2,50 %
    57 %52 %

    1.721.72

    Betsson · 9 recorded price levels · 15/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • Luton Town come into this round on 4 straight wins.
    • Luton Town have scored in 15 consecutive league matches.
    • Luton Town win 57% of their home matches all-time (23 played).
    xG & xGA per match — 3-game rolling average

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

    Luton Town
    Notts County
    When goals are scored and conceded 2026
    Luton Town (43)
    Notts County (11)
    Pass networks

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

    Luton Town
    George Thomas Johnston: 72 passningar, xT 0.17JohnstonHakeem Odoffin: 64 passningar, xT 0.04OdoffinLiam Walsh: 45 passningar, xT 0.04WalshKallum Lachlan Alexander Naismith: 44 passningar, xT 0.04NaismithIsaiah Benjamin Montell Jones: 42 passningar, xT 0.08JonesJosh Keeley: 29 passningar, xT 0.02KeeleyJordan Charles Clark: 22 passningar, xT 0.07ClarkKasey Remel Palmer: 21 passningar, xT 0PalmerNahki Michael Wells: 15 passningar, xT 0.14WellsJake Richards: 13 passningar, xT 0.15RichardsEmilio Lawrence: 5 passningar, xT -0.02Lawrence
    Notts County
    Jacob Bedeau: 37 passningar, xT 0.07BedeauDean Graeme Campbell: 32 passningar, xT 0.15CampbellJames Belshaw: 27 passningar, xT 0.1BelshawJames Andrew Gibbons: 20 passningar, xT 0.03GibbonsLucas Ness: 18 passningar, xT 0NessDarius Lipsiuc: 16 passningar, xT 0.11LipsiucOliver Joseph Cooper: 12 passningar, xT 0.03CooperNick Tsaroulla: 12 passningar, xT 0.15TsaroullaCallum Roberts: 8 passningar, xT -0.03RobertsJack Lucas James Evans: 7 passningar, xT 0EvansLuka Benjamin Smyth: 5 passningar, xT 0.01Smyth
    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.

    Luton Town
    George Thomas Johnston: 72 passningar, xT 0.17JohnstonHakeem Odoffin: 64 passningar, xT 0.04OdoffinLiam Walsh: 45 passningar, xT 0.04WalshKallum Lachlan Alexander Naismith: 44 passningar, xT 0.04NaismithIsaiah Benjamin Montell Jones: 42 passningar, xT 0.08JonesJosh Keeley: 29 passningar, xT 0.02KeeleyJordan Charles Clark: 22 passningar, xT 0.07ClarkKasey Remel Palmer: 21 passningar, xT 0PalmerNahki Michael Wells: 15 passningar, xT 0.14WellsJake Richards: 13 passningar, xT 0.15RichardsEmilio Lawrence: 5 passningar, xT -0.02Lawrence
    Notts County
    Jacob Bedeau: 37 passningar, xT 0.07BedeauDean Graeme Campbell: 32 passningar, xT 0.15CampbellJames Belshaw: 27 passningar, xT 0.1BelshawJames Andrew Gibbons: 20 passningar, xT 0.03GibbonsLucas Ness: 18 passningar, xT 0NessDarius Lipsiuc: 16 passningar, xT 0.11LipsiucOliver Joseph Cooper: 12 passningar, xT 0.03CooperNick Tsaroulla: 12 passningar, xT 0.15TsaroullaCallum Roberts: 8 passningar, xT -0.03RobertsJack Lucas James Evans: 7 passningar, xT 0EvansLuka Benjamin Smyth: 5 passningar, xT 0.01Smyth

    The teams in numbers

    PerformanceLuton TownNotts County
    Points31
    xPoints12.2
    xG per match1.41.4
    xGA per match1.61.1
    xG within 8s of winning the ball0.120.11
    xGA within 8s of losing the ball0.60.16
    Playing styleLuton TownNotts County
    Build-up efficiency0.330.31
    Field tilt0.390.35
    xT per match0.820.89
    xTA per match0.670.97
    Won balls, offensive half1638
    Pressing intensity0.230.22
    Pressing efficiency0.450.23
    Pressing efficiency, offensive half0.390.17
    Entries into the box per match915
    Entries into the box against912
    Pass completion %0.780.66
    Pass completion % under pressure0.720.62
    Passes per match366202
    Passes against per match220553
    Switches of play per match4.712.9
    Long balls per match1325
    Set piecesLuton TownNotts County
    xG from free kicks00
    Corners per match1.93
    Corners against per match4.75
    xG per corner00.08
    xGA per corner against0.020.01
    First touch, offensive corners %00.67
    First touch, defensive corners %0.60.6
    OtherLuton TownNotts County
    Throw-in control0.710.69
    The goalkeepersJordan Charles Clark (Luton Town)Lucas Ness (Notts County)
    Saves33
    Save %100%100%
    xG prevented100%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Luton Town vs Notts County according to our model?

    The model gives Luton Town a 53% win probability. Full 1X2 picture: Luton Town 53%, draw 25%, Notts County 22%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.