Premier LeagueThe City Ground, Nottingham9°20 km/h

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    Nottingham ForestNottingham ForestLow block & direct
    vs
    ArsenalArsenalPossession & high press
    The model's lean: 2 · Arsenal (52%)Best value by the model: Under 1,5 @ 3.60 (+20 %)

    Nottingham Forest vs Arsenal · Premier League

    1 · Nottingham Forest 20%X 28%52% Arsenal · 2

    Prediction summary

    BetBuilders AI model prediction for Nottingham Forest vs Arsenal (Premier League, Sunday, 18 October 2026): Nottingham Forest win 20%, draw 28%, Arsenal win 52%. Expected goals (xG): Nottingham Forest 0.86, Arsenal 1.42. Most likely score: 0-1 (14%). Over 2.5 goals 40%, both teams to score 44%. Double chance: Nottingham Forest or draw 48%, Arsenal or draw 80%. Prediction updated Friday, 9 October 2026.

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    Analysis: Nottingham Forest – Arsenal

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    A tight contest is expected at Nottingham's ground with Arsenal holding a 52% chance of victory. The visitors' stronger points tally of 15 compared to the hosts' 5 underscores this. Yet, Forest's xPoints (9.6) suggest they're a touch unlucky, with their xG of 1.9 per match surprisingly edging Arsenal's 1.8. Still, Forest's direct style clashes with Arsenal's high press, likely leading to a game dominated by the visitors' possession.

    The small sample of four head-to-head matchups since 2022 reveals no Forest wins, but it's season form and expected goals that paint a more relevant picture. Arsenal's defense, allowing just 0.83 xGA per match, could frustrate Forest, who rely on breaking through quickly. The model's most probable scorelines favor low totals: 0-1 or a 1-1 stalemate.

    For those willing to see past the mundane for value, three bookmakers offer intriguing odds for under 1.5 goals. Betsafe and Nordicbet's odds of 3.57, and LeoVegas's 3.5, all present a significant 19% and 17% edge, respectively. With only a 40% chance of more than two goals, the real value lies in anticipating a dry spell on the goal front.

    Nottingham ForestNottingham Forest
    Form DDWLL
    League ranking xG #3xGA #5xT #3xP/match #2Points #15
    Key players
    • Ousmane DiomandeCBxG 0.08 · xT 0.02
    • Morgan Gibbs WhiteRWxG 0.23 · xT 0.31
    • MurilloCBxG 0.16 · xT 0.11
    ArsenalArsenal
    Form WWWLW
    League ranking xG #5xGA #1xT #5xP/match #1Points #2
    Key players
    • Bukayo SakaRWxG 0.58 · xT 0.05
    • Declan RiceCDMxG 0.04 · xT 0.15
    • Martin ØdegaardCMxG 0.33 · xT 0.29

    Match prediction: Nottingham Forest – Arsenal

    Predicted score matrix

    Arsenal →
    Nottingham Forest →
    0
    1
    2
    3
    4+
    0
    0–010.7%
    0–114.2%
    0–210.4%
    0–34.9%
    0–4+2.4%
    1
    1–08.4%
    1–112.9%
    1–28.9%
    1–34.2%
    1–4+2.0%
    2
    2–03.8%
    2–15.3%
    2–23.8%
    2–31.8%
    2–4+0.9%
    3
    3–01.1%
    3–11.5%
    3–21.1%
    3–30.5%
    3–4+0.2%
    4+
    4+–00.3%
    4+–10.4%
    4+–20.3%
    4+–30.1%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-114%
    2. 2.1-113%
    3. 3.0-011%
    4. 4.0-210%
    5. 5.1-29%
    Expected goals
    0,86–1,42
    Both teams to score
    44%

    Over/under goals

    Expected goals: 2,3
    Under 2,560%
    @1.89EV+14%
    Over 2,540%
    @1.94

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Arsenal to win52%
    • Under 3.5 goals80%

    Combined probability

    38%

    Fair odds

    2.61

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

    02 · 3 legs

    Balanced

    • Arsenal to win52%
    • Under 2.5 goals60%
    • Kai Lukas Havertz to score25%

    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 score44%
    • Over 2.5 goals40%
    • Kai Lukas Havertz to score25%
    • Xaver Schlager 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+).

    • Under 1.533% probability@3.60LeoVegasEV+20%reference odds
    • Under 1.533% probability@3.57BetsafeEV+19%reference odds
    • Under 1.533% probability@3.57NordicbetEV+19%reference odds
    Bookmaker1 · Nottingham ForestX2 · Arsenal
    Betsafe
    EV+ 15%
    5.75
    EV+ 9%
    3.90
    1.58
    LeoVegas
    EV+ 10%
    5.50
    EV+ 10%
    3.95
    1.64
    Nordicbet
    EV+ 16%
    5.80
    EV+ 10%
    3.95
    1.60
    Pinnacle
    EV+ 19%
    5.94
    EV+ 4%
    3.74
    1.65

    Odds updated 16 Oct, 19:37

    Odds movement

    1-1 %
    18 %13 %

    5.98 → 5.94

    X0 %
    28 %23 %

    3.73 → 3.74

    2+3 %
    61 %56 %

    1.60 → 1.65

    Pinnacle · 3 recorded price levels · 09/10/2026 → 16/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Nottingham Forest 0Draw 2Arsenal 2
    Goals: 0–6 (⌀ 1,5)

    Head-to-head based on Premier League data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Nottingham Forest
    Arsenal
    When goals are scored and conceded — 2026
    Nottingham Forest (5–8)
    Arsenal (10–5)
    Pass networks

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

    Nottingham Forest
    Murillo: 200 passningar, xT 0.36MurilloNeco Williams: 182 passningar, xT 0.84WilliamsJames McAtee: 170 passningar, xT 0.35McAteeXaver Schlager: 155 passningar, xT 0.57SchlagerMorgan Gibbs White: 152 passningar, xT 1.61WhiteOusmane Diomande: 120 passningar, xT 0.08DiomandeDaniel Munoz: 120 passningar, xT 0.89MunozOla Aina: 110 passningar, xT 0.68AinaMatz Sels: 88 passningar, xT 0.13SelsJair Cunha: 80 passningar, xT 0.22CunhaIgor Jesus: 51 passningar, xT 0.04Jesus
    Arsenal
    Declan Rice: 298 passningar, xT 0.65RiceGabriel Magalhaes: 227 passningar, xT 0.36MagalhaesMartin Ødegaard: 208 passningar, xT 1ØdegaardEzri Konsa: 181 passningar, xT 0.15KonsaDavid Raya: 150 passningar, xT 0.27RayaMyles Lewis Skelly: 144 passningar, xT 0.18SkellyBukayo Saka: 127 passningar, xT 0.09SakaRiccardo Calafiori: 125 passningar, xT 0.49CalafioriBen White: 108 passningar, xT 0.51WhiteChristos Tzolis: 83 passningar, xT 0.23TzolisKai Havertz: 82 passningar, xT -0.13Havertz
    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.

    Nottingham Forest
    Murillo: 200 passningar, xT 0.36MurilloNeco Williams: 182 passningar, xT 0.84WilliamsJames McAtee: 170 passningar, xT 0.35McAteeXaver Schlager: 155 passningar, xT 0.57SchlagerMorgan Gibbs White: 152 passningar, xT 1.61WhiteOusmane Diomande: 120 passningar, xT 0.08DiomandeDaniel Munoz: 120 passningar, xT 0.89MunozOla Aina: 110 passningar, xT 0.68AinaMatz Sels: 88 passningar, xT 0.13SelsJair Cunha: 80 passningar, xT 0.22CunhaIgor Jesus: 51 passningar, xT 0.04Jesus
    Arsenal
    Declan Rice: 298 passningar, xT 0.65RiceGabriel Magalhaes: 227 passningar, xT 0.36MagalhaesMartin Ødegaard: 208 passningar, xT 1ØdegaardEzri Konsa: 181 passningar, xT 0.15KonsaDavid Raya: 150 passningar, xT 0.27RayaMyles Lewis Skelly: 144 passningar, xT 0.18SkellyBukayo Saka: 127 passningar, xT 0.09SakaRiccardo Calafiori: 125 passningar, xT 0.49CalafioriBen White: 108 passningar, xT 0.51WhiteChristos Tzolis: 83 passningar, xT 0.23TzolisKai Havertz: 82 passningar, xT -0.13Havertz

    The teams in numbers

    PerformanceNottingham ForestArsenal
    Points515
    xPoints9.610.6
    xG per match1.91.8
    xGA per match1.30.83
    xG within 8s of winning the ball0.390.28
    xGA within 8s of losing the ball0.130.12
    Playing styleNottingham ForestArsenal
    Build-up efficiency0.320.34
    Field tilt0.560.69
    xT per match1.31.1
    xTA per match0.740.56
    Won balls, offensive half2524
    Pressing intensity0.230.22
    Pressing efficiency0.30.31
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1618
    Entries into the box against1210
    Pass completion %0.740.81
    Pass completion % under pressure0.70.77
    Passes per match325435
    Passes against per match341269
    Switches of play per match28.923.1
    Long balls per match3425
    Set piecesNottingham ForestArsenal
    xG from free kicks0.050.02
    Corners per match4.24.5
    Corners against per match4.63.3
    xG per corner0.040.04
    xGA per corner against0.040.05
    First touch, offensive corners %0.40.52
    First touch, defensive corners %0.430.8
    OtherNottingham ForestArsenal
    Throw-in control0.780.75
    The goalkeepersMatz Sels (Nottingham Forest)David Raya (Arsenal)
    Saves1513
    Save %65%72%
    xG prevented58%79%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Nottingham Forest vs Arsenal according to our model?

    The model gives Arsenal a 52% win probability. Full 1X2 picture: Nottingham Forest 20%, draw 28%, Arsenal 52%.

    What is the most likely scoreline?

    The model's most likely final score is 0-1 at 14% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 40% and under at 60%.

    Will both teams score?

    The probability of both teams scoring is 44% according to the model.

    How many goals are expected in Nottingham Forest vs Arsenal?

    The model expects 0.86 goals (xG) for Nottingham Forest and 1.42 for Arsenal, 2.27 in total.

    What does the model say about double chance?

    Nottingham Forest or draw (1X) 48%, Arsenal or draw (X2) 80% and no draw (12) 72%.

    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.