EFL League TwoWhaddon Road, Cheltenham10°7,7 mm39 km/h

    Läs på svenska
    Cheltenham TownCheltenham TownLow block & direct
    1–0
    Newport CountyNewport CountyLow block & direct
    The model's lean: 1 · Cheltenham Town (37%)Best value by the model: X · Draw @ 3.46 (+1 %)

    Cheltenham Town vs Newport County · EFL League Two

    1 · Cheltenham Town 37%X 29%34% Newport County · 2

    Prediction summary

    Final score 1–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Cheltenham Town vs Newport County (EFL League Two, Saturday, 24 October 2026): Cheltenham Town win 37%, draw 29%, Newport County win 34%. Expected goals (xG): Cheltenham Town 1.35, Newport County 1.25. Most likely score: 1-1 (13%). Over 2.5 goals 48%, both teams to score 53%. Double chance: Cheltenham Town or draw 66%, Newport County or draw 63%. Prediction updated Friday, 16 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Cheltenham Town – Newport County

    Sofia Andersson · · The model's read on the match · How the predictions work

    Both Cheltenham Town and Newport County share a similar tactical approach with low defensive setups and direct play. This could lead to a tightly contested match with moments of chaos rather than consistent quality. Cheltenham has a slight edge according to the model, with a 37% win probability, but Newport's seven-match unbeaten streak in the league can't be ignored.

    Despite Cheltenham's perfect head-to-head record in their last four encounters with Newport, this small sample size gives little weight against current form indicators. The Robins have a narrow lead in points with 18, but Newport's metrics, particularly in expected points (18.8) and defensive measures (xGA of 1.1 per match), suggest they are slightly more efficient and resilient.

    Expected goals figures hint at a close encounter, with Cheltenham predicted to notch 1.35 goals and Newport 1.25. The most probable scorelines of 1-1 and 1-0 further underline the expectation of a tight and low-scoring match, especially with the wet conditions likely suppressing any potential goal explosion. The over 2.5 goals probability sits at 48%, which leans just under, reflecting the balance of defensive vulnerabilities and attacking limitations.

    From a betting perspective, the value is in assessing the draw at 29%. With the forecasted rain and Newport’s strong defensive form, a stalemate seems plausible. But for sharper eyes, Cheltenham's win at odds of 2.60 with Bet365, given their head-to-head dominance, could be an intriguing angle for those favoring historical trends over present metrics.

    Cheltenham TownCheltenham Town
    Form WLLLW
    League ranking xG #21xGA #21xT #24xP/match #13Points #5
    Key players
    • Charlie Liam McCannCAMxG 0.24 · xT 0.08
    • James Steven WilsonCBxG 0.11 · xT 0.05
    • Robbie David CundyCBxG 0.08 · xT 0.03
    Newport CountyNewport County
    Form WDWDD
    League ranking xG #16xGA #7xT #15xP/match #5Points #15
    Key players
    • Lee Thomas JenkinsCBxG 0.08 · xT 0.08
    • Harrison BigginsCAMxG 0.19 · xT 0.13
    • Christian Rhys DoidgeFxG 0.31 · xT 0.07
    Final score
    1 – 0
    The model called the outcome
    Predicted probabilities: Cheltenham Town 37% · Draw 29% · Newport County 34%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - CheltenhamBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,58fair 10,64-19 %
    Miss
    Matchresultat - Newport CountyBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,08fair 12,33-26 %
    Miss

    Match prediction: Cheltenham Town – Newport County

    Predicted score matrix

    Newport County →
    Cheltenham Town →
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–18.9%
    0–25.8%
    0–32.4%
    0–4+1.0%
    1
    1–09.7%
    1–112.9%
    1–27.8%
    1–33.3%
    1–4+1.3%
    2
    2–06.8%
    2–18.4%
    2–25.3%
    2–32.2%
    2–4+0.9%
    3
    3–03.0%
    3–13.8%
    3–22.4%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.4%
    4+–11.7%
    4+–21.1%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-28%
    Expected goals
    1,35–1,25
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @1.90
    Over 2,548%
    @1.93

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Cheltenham Town or draw (1X)66%
    • Under 3.5 goals74%

    Combined probability

    49%

    Fair odds

    2.06

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

    02 · 3 legs

    Balanced

    • Double chance Cheltenham Town or draw (1X)66%
    • Under 2.5 goals52%
    • Andreas Weimann to score29%

    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 score53%
    • Over 2.5 goals48%
    • Andreas Weimann to score29%
    • Ben Edward Stevenson 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+).

    • X · Draw29% probability@3.46PinnacleEV+1%reference odds
    Bookmaker1 · Cheltenham TownX2 · Newport County
    Betsafe2.523.302.65
    LeoVegas2.503.352.60
    Nordicbet2.523.302.65
    Pinnacle2.56
    EV+ 1%
    3.46
    2.71

    Odds updated 24 Oct, 12:19

    Odds movement

    1+1 %
    40 %35 %

    2.53 → 2.56

    X+2 %
    30 %25 %

    3.39 → 3.46

    2+1 %
    38 %33 %

    2.68 → 2.71

    Over 2,5+1 %
    52 %47 %

    1.91 → 1.93

    Pinnacle · 6 recorded price levels · 22/10/2026 → 24/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Cheltenham Town 4Draw 0Newport County 0
    Goals: 9–2 (⌀ 2,8)

    Head-to-head based on League Two data since 2023.

    Key facts

    • Newport County are unbeaten in their last 7 league matches.
    xG & xGA per match — 3-game rolling average

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

    Cheltenham Town
    Newport County
    When goals are scored and conceded — 2026
    Cheltenham Town (21–22)
    Newport County (16–15)
    Pass networks

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

    Cheltenham Town
    Pierce Liam Sweeney: 197 passningar, xT 0.09SweeneyWylliam Sam Stanway: 155 passningar, xT 0.13StanwayJonathan Robert Tomkinson: 153 passningar, xT 0.18TomkinsonJordan Mark Edward James Shipley: 138 passningar, xT 0.24ShipleyCharlie Liam McCann: 128 passningar, xT 0.04McCannJames Steven Wilson: 120 passningar, xT 0.17WilsonRobbie David Cundy: 91 passningar, xT 0.09CundyBen Edward Stevenson: 90 passningar, xT 0.05StevensonJake Evans: 83 passningar, xT 0.2EvansGeorge Damien Nurse: 79 passningar, xT 0.03NurseAndreas Weimann: 77 passningar, xT -0.03Weimann
    Newport County
    Cameron Pearce Norman: 123 passningar, xT 0.91NormanLee Thomas Jenkins: 117 passningar, xT 0.41JenkinsHarrison Biggins: 110 passningar, xT 0.31BigginsCiaran Brennan: 107 passningar, xT 0.38BrennanKyle Milne Cameron: 103 passningar, xT 0.2CameronJordan Wright: 75 passningar, xT 0.19WrightMatthew James Jacob: 73 passningar, xT 0.22JacobJoe Thomas: 57 passningar, xT 0.01ThomasMatthew Robert Smith: 44 passningar, xT 0.1SmithMatthew Max Dibley-Dias: 44 passningar, xT 0.23Dibley-DiasMichael Adu-Poku: 14 passningar, xT 0.26Adu-Poku
    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.

    Cheltenham Town
    Pierce Liam Sweeney: 197 passningar, xT 0.09SweeneyWylliam Sam Stanway: 155 passningar, xT 0.13StanwayJonathan Robert Tomkinson: 153 passningar, xT 0.18TomkinsonJordan Mark Edward James Shipley: 138 passningar, xT 0.24ShipleyCharlie Liam McCann: 128 passningar, xT 0.04McCannJames Steven Wilson: 120 passningar, xT 0.17WilsonRobbie David Cundy: 91 passningar, xT 0.09CundyBen Edward Stevenson: 90 passningar, xT 0.05StevensonJake Evans: 83 passningar, xT 0.2EvansGeorge Damien Nurse: 79 passningar, xT 0.03NurseAndreas Weimann: 77 passningar, xT -0.03Weimann
    Newport County
    Cameron Pearce Norman: 123 passningar, xT 0.91NormanLee Thomas Jenkins: 117 passningar, xT 0.41JenkinsHarrison Biggins: 110 passningar, xT 0.31BigginsCiaran Brennan: 107 passningar, xT 0.38BrennanKyle Milne Cameron: 103 passningar, xT 0.2CameronJordan Wright: 75 passningar, xT 0.19WrightMatthew James Jacob: 73 passningar, xT 0.22JacobJoe Thomas: 57 passningar, xT 0.01ThomasMatthew Robert Smith: 44 passningar, xT 0.1SmithMatthew Max Dibley-Dias: 44 passningar, xT 0.23Dibley-DiasMichael Adu-Poku: 14 passningar, xT 0.26Adu-Poku

    The teams in numbers

    PerformanceCheltenham TownNewport County
    Points1815
    xPoints1618.8
    xG per match1.11.2
    xGA per match1.61.1
    xG within 8s of winning the ball0.250.17
    xGA within 8s of losing the ball0.230.18
    Playing styleCheltenham TownNewport County
    Build-up efficiency0.330.33
    Field tilt0.360.37
    xT per match0.510.78
    xTA per match1.20.88
    Won balls, offensive half2132
    Pressing intensity0.240.23
    Pressing efficiency0.30.33
    Pressing efficiency, offensive half0.280.31
    Entries into the box per match711
    Entries into the box against1612
    Pass completion %0.660.55
    Pass completion % under pressure0.620.55
    Passes per match279169
    Passes against per match351327
    Switches of play per match1817.1
    Long balls per match2830
    Set piecesCheltenham TownNewport County
    xG from free kicks00.13
    Corners per match4.34.2
    Corners against per match5.94.5
    xG per corner0.040.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.330.4
    First touch, defensive corners %0.660.67
    OtherCheltenham TownNewport County
    Throw-in control0.650.75
    The goalkeepersWylliam Sam Stanway (Cheltenham Town)Jordan Wright (Newport County)
    Saves3231
    Save %60%71%
    xG prevented31%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Cheltenham Town vs Newport County according to our model?

    The model gives Cheltenham Town a 37% win probability. Full 1X2 picture: Cheltenham Town 37%, draw 29%, Newport County 34%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    How many goals are expected in Cheltenham Town vs Newport County?

    The model expects 1.35 goals (xG) for Cheltenham Town and 1.25 for Newport County, 2.60 in total.

    What does the model say about double chance?

    Cheltenham Town or draw (1X) 66%, Newport County or draw (X2) 63% and no draw (12) 71%.

    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.

    More matches in the league

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