Scottish PremiershipFalkirk Stadium, Falkirk14°16 km/h

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    FalkirkFalkirkBalanced & physical
    vs
    RangersRangersCounter-attacks & crosses
    The model's lean: 2 · Rangers (61%)Best value by the model: Over 3,5 @ 2.52 (+9 %)

    FalkirkRangers · Scottish Premiership

    1 · Falkirk 16%X 22%61% Rangers · 2

    Analysis: FalkirkRangers

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Falkirk will be looking to hold their ground against a Rangers side that's been consistently finding the back of the net, scoring in 17 consecutive league matches. With the visitors relying on counter-attacks and crosses, they are poised to exploit any gaps in Falkirk's defense, which has been conceding 1.6 expected goals per match on average. Meanwhile, Falkirk's balanced and physical approach will need to disrupt Rangers' rhythm if they're to challenge the odds.

    Despite Falkirk's efforts in recent meetings, the head-to-head record since 2023 offers little hope for the hosts, with two draws and two defeats against this opposition. However, with only four matches in the sample size, it weighs less heavily than the current form and expected goals metrics, which both favor the visitors. Rangers have an expected goals tally of 2.36 per match, highlighting their offensive prowess compared to Falkirk's 1.00.

    The model suggests a 65% probability for over 2.5 goals, despite the rain that might suppress scoring. This aligns with the most likely scorelines of 0-2 and 1-2, both sitting at 10%. A close encounter seems plausible, with a 1-2 victory for Rangers appearing as the most balanced outcome. Falkirk might find the net, but keeping pace with the visitors' attacking firepower could prove too challenging.

    Betting opportunities arise with the value found in the over 4.5 goals market, available at odds of 4.45 with Betsafe, Betsson, and Nordicbet. The model rates this outcome at 25%, offering a 10% edge. While not a guarantee, this angle presents the most enticing risk-reward scenario for punters seeking a bold play in a matchup that leans heavily towards Rangers.

    FalkirkFalkirk
    Form LLLDL
    League ranking xG #12xGA #8xT #12xP/match #11Points #11
    Key players
    • Ryan StrainRWBxG 0.03 · xT 0.15
    • Scott TanserLWBxG 0.00 · xT 0.09
    • Finley Frank BarbrookCMxG 0.17 · xT -0.04
    RangersRangers
    Form LWDLW
    League ranking xG #3xGA #4xT #3xP/match #6Points #7
    Key players
    • Lawrence ShanklandFxG 0.57 · xT 0.08
    • Findlay CurtisFxG 0.13 · xT 0.07
    • Thelo AasgaardLWxG 0.30 · xT 0.05

    Match prediction: FalkirkRangers

    Predicted score matrix

    Rangers
    Falkirk
    0
    1
    2
    3
    4+
    0
    0–03.7%
    0–18.0%
    0–29.7%
    0–37.6%
    0–4+7.9%
    1
    1–03.2%
    1–18.4%
    1–29.7%
    1–37.6%
    1–4+7.8%
    2
    2–01.7%
    2–14.1%
    2–24.8%
    2–33.8%
    2–4+3.9%
    3
    3–00.6%
    3–11.4%
    3–21.6%
    3–31.3%
    3–4+1.3%
    4+
    4+–00.2%
    4+–10.4%
    4+–20.5%
    4+–30.4%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-210%
    2. 2.1-210%
    3. 3.1-18%
    4. 4.0-18%
    5. 5.0-38%
    Expected goals
    1,002,36
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,4
    Under 2,535%
    @2.50
    Over 2,565%
    @1.60EV+4%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rangers to win61%
    • Over 1.5 goals85%

    Combined probability

    59%

    Fair odds

    1.69

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

    02 · 3 legs

    Balanced

    • Rangers to win61%
    • Over 2.5 goals65%
    • Djeidi Gassama to score24%

    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 score57%
    • Over 2.5 goals65%
    • Djeidi Gassama to score24%
    • Henry Cartwright 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+).

    • Over 3.543% probability@2.52BetsafeEV+9%reference odds
    • Over 3.543% probability@2.52BetssonEV+9%reference odds
    • Over 3.543% probability@2.52NordicbetEV+9%reference odds
    Bookmaker1 · FalkirkX2 · Rangers
    Bet3655.254.201.55
    Betsafe4.903.851.60
    Betsson4.903.851.60
    Nordicbet4.903.851.60
    Pinnacle5.134.211.59

    Odds updated 1 Sept, 13:35

    Odds movement

    10 %
    21 %16 %

    5.135.13

    X0 %
    25 %20 %

    4.194.21

    20 %
    62 %57 %

    1.591.59

    Pinnacle · 4 recorded price levels · 30/08/2026 → 01/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Falkirk 0Draw 2Rangers 2
    Goals: 612 (⌀ 4,5)

    Head-to-head based on Scottish Premiership data since 2023.

    Key facts

    • Rangers have scored in 17 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Falkirk
    Rangers
    When goals are scored and conceded 2026
    Falkirk (14)
    Rangers (33)
    Pass networks

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

    Falkirk
    Liam Henderson: 157 passningar, xT 0.35HendersonRyan Strain: 156 passningar, xT 0.42StrainScott Bain: 96 passningar, xT 0.04BainLewis Neilson: 92 passningar, xT 0.05NeilsonFinley Frank Barbrook: 88 passningar, xT -0.09BarbrookLeon McCann: 67 passningar, xT 0.09McCannCraig Sibbald: 65 passningar, xT 0.08SibbaldDeniss Meļņiks: 56 passningar, xT 0.08MeļņiksBrad Spencer: 49 passningar, xT 0.03SpencerBen Krauhaus: 38 passningar, xT -0.02KrauhausScott Tanser: 32 passningar, xT 0.09Tanser
    Rangers
    Cammy Devlin: 168 passningar, xT 0.21DevlinEmmanuel Fernandez: 148 passningar, xT 0.4FernandezOlwethu Mpilwenhle Makhanya: 132 passningar, xT 0.22MakhanyaTuur Rommens: 92 passningar, xT 0.35RommensIvor Pandur: 84 passningar, xT 0.05PandurFindlay Curtis: 71 passningar, xT -0.01CurtisThelo Aasgaard: 56 passningar, xT 0.01AasgaardDujon Sterling: 53 passningar, xT 0.72SterlingDaniel Neil: 49 passningar, xT 0.23NeilMohammed Baba Diomande: 49 passningar, xT 0.15DiomandeNicolas Raskin: 41 passningar, xT 0.04Raskin
    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.

    Falkirk
    Liam Henderson: 157 passningar, xT 0.35HendersonRyan Strain: 156 passningar, xT 0.42StrainScott Bain: 96 passningar, xT 0.04BainLewis Neilson: 92 passningar, xT 0.05NeilsonFinley Frank Barbrook: 88 passningar, xT -0.09BarbrookLeon McCann: 67 passningar, xT 0.09McCannCraig Sibbald: 65 passningar, xT 0.08SibbaldDeniss Meļņiks: 56 passningar, xT 0.08MeļņiksBrad Spencer: 49 passningar, xT 0.03SpencerBen Krauhaus: 38 passningar, xT -0.02KrauhausScott Tanser: 32 passningar, xT 0.09Tanser
    Rangers
    Cammy Devlin: 168 passningar, xT 0.21DevlinEmmanuel Fernandez: 148 passningar, xT 0.4FernandezOlwethu Mpilwenhle Makhanya: 132 passningar, xT 0.22MakhanyaTuur Rommens: 92 passningar, xT 0.35RommensIvor Pandur: 84 passningar, xT 0.05PandurFindlay Curtis: 71 passningar, xT -0.01CurtisThelo Aasgaard: 56 passningar, xT 0.01AasgaardDujon Sterling: 53 passningar, xT 0.72SterlingDaniel Neil: 49 passningar, xT 0.23NeilMohammed Baba Diomande: 49 passningar, xT 0.15DiomandeNicolas Raskin: 41 passningar, xT 0.04Raskin

    The teams in numbers

    PerformanceFalkirkRangers
    Points14
    xPoints2.34.2
    xG per match0.572
    xGA per match1.61.4
    xG within 8s of winning the ball0.140.18
    xGA within 8s of losing the ball0.460.41
    Playing styleFalkirkRangers
    Build-up efficiency0.330.34
    Field tilt0.420.76
    xT per match0.51.4
    xTA per match1.10.49
    Won balls, offensive half3225
    Pressing intensity0.220.22
    Pressing efficiency0.230.44
    Pressing efficiency, offensive half0.220.37
    Entries into the box per match819
    Entries into the box against137
    Pass completion %0.740.76
    Pass completion % under pressure0.710.71
    Passes per match360394
    Passes against per match425192
    Switches of play per match35.430.6
    Long balls per match4233
    Set piecesFalkirkRangers
    xG from free kicks00.04
    Corners per match47.7
    Corners against per match5.14.7
    xG per corner0.010.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.330.41
    First touch, defensive corners %0.670.57
    OtherFalkirkRangers
    Throw-in control0.750.68
    The goalkeepersScott Bain (Falkirk)Ivor Pandur (Rangers)
    Saves114
    Save %73%57%
    xG prevented71%24%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Falkirk vs Rangers according to our model?

    The model gives Rangers a 61% win probability. Full 1X2 picture: Falkirk 16%, draw 22%, Rangers 61%.

    What is the most likely scoreline?

    The model's most likely final score is 0-2 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.