Conference League16°7,8 mm15 km/h

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    NordsjællandNordsjællandPossession & high press
    vs
    St. GallenSt. GallenPossession control
    The model's lean: 1 · Nordsjælland (63%)

    NordsjællandSt. Gallen · Conference League

    1 · Nordsjælland 63%X 22%15% St. Gallen · 2

    Analysis: NordsjællandSt. Gallen

    Erik Lindberg · · How the predictions work

    63% is a compelling figure, especially when paired with FC Nordsjaelland's recent form. They're riding a wave of three consecutive wins, which contrasts sharply with St. Gallen’s more modest form despite their knack for finding the net in nine straight league outings. The model paints FC Nordsjaelland as the clear favourites, with a most likely scoreline of 2-0 or 1-0, and it seems hard to argue against that logic when one considers the expected goals tally: FC Nordsjaelland boast an xG of 2.04 compared to St. Gallen’s 0.94.

    It's FC Nordsjaelland who command attention when dissecting the underlying numbers. With a higher xPoints (8.7 vs. 2.7) and superior xG per match (3.0 vs. St. Gallen’s 2.8), they possess both the firepower and defensive solidity required to dominate the contest. Their high-pressing, possession-based approach should stifle St. Gallen’s attempts to control the tempo, while their tighter xGA of 0.84 suggests a disciplined backline primed to thwart St. Gallen’s scoring streak.

    St. Gallen may have scored in nine straight league matches, but their defensive vulnerabilities can’t be overlooked, illustrated by an xGA of 1.5. This frailty could be their undoing against a side like FC Nordsjaelland, who are adept at capitalizing on opponents' lapses. While St. Gallen's scoring run indicates a threat, the real question is whether they can breach a well-drilled Nordsjaelland defence more than once.

    The betting market throws up a juicy carrot with FC Nordsjaelland priced at odds of 2.05 with Betsafe, Betsson, and Nordicbet — a bet the model rates as juicy value with a 30% edge. Backing the home side seems not only logical but profitable. The over 2.5 goals market leans at 57%, but caution is advised; a 2-0 scoreline looks likelier. As the final whistle approaches, all signs point to FC Nordsjaelland asserting their dominance, making them the smart bet for a convincing victory.

    NordsjællandNordsjælland
    Form LWWW
    League ranking xG #3xGA #6xT #8xP/match #2Points #5
    Key players
    • Juho LahteenmakiRWxG 0.01 · xT 0.06
    • Hjalte Boe RasmussenFxG 0.54 · xT 0.01
    • Runar NorheimRWxG 0.64 · xT 0.00
    St. GallenSt. Gallen
    Form DLDWW
    League ranking xG #4xGA #14xT #4xP/match #16Points #10

    Match prediction: NordsjællandSt. Gallen

    Predicted score matrix

    St. Gallen
    Nordsjælland
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–14.5%
    0–22.2%
    0–30.7%
    0–4+0.2%
    1
    1–010.1%
    1–110.0%
    1–24.6%
    1–31.4%
    1–4+0.4%
    2
    2–010.6%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.2%
    3–16.8%
    3–23.2%
    3–31.0%
    3–4+0.3%
    4+
    4+–05.9%
    4+–15.5%
    4+–22.6%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-010%
    3. 3.1-110%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    2,040,94
    Both teams to score
    53%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.68EV+15%
    Over 2,557%
    @1.57

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Nordsjælland to win63%
    • Over 1.5 goals80%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 2 legs

    Balanced

    • Nordsjælland to win63%
    • Over 2.5 goals57%

    Combined probability

    42%

    Fair odds

    2.38

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

    03 · 2 legs

    Bold

    • Both teams to score53%
    • Over 2.5 goals57%

    Combined probability

    43%

    Fair odds

    2.31

    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+).

    • 1 · Nordsjælland63% probability@1.91Paddy PowerEV+21%
    • Under 2.543% probability@2.68BetsafeEV+15%
    • Under 2.543% probability@2.68BetssonEV+15%
    Bookmaker1 · NordsjællandX2 · St. Gallen
    Betsafe
    EV+ 11%
    1.75
    3.853.95
    Betsson
    EV+ 11%
    1.75
    3.853.95
    Nordicbet
    EV+ 11%
    1.75
    3.853.95
    Paddy Power
    EV+ 21%
    1.91
    3.603.25

    Odds updated 16 Aug, 15:35

    Odds movement

    Market signal

    The market has moved clearly towards a Nordsjælland win since 14 August — the odds have shortened from 2.05 to 1.75 (−15%).

    1-15 %
    54 %44 %

    2.051.75

    X+7 %
    30 %20 %

    3.603.85

    2+30 %
    32 %22 %

    3.053.95

    Over 2,5-9 %
    68 %58 %

    1.551.41

    Betsson · 10 recorded price levels · 14/08/2026 → 16/08/2026 · fixed scale 10 percentage points

    Statistics

    Key facts

    • FC Nordsjaelland come into this round on 3 straight wins.
    • St. Gallen have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Nordsjælland
    St. Gallen
    When goals are scored and conceded 2026
    Nordsjælland (131)
    St. Gallen (82)
    Pass networks

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

    Nordsjælland
    Peter Ankersen: 260 passningar, xT 0.72AnkersenJustin Janssen: 252 passningar, xT 0.41JanssenTobias Salquist: 240 passningar, xT 0.18SalquistMark Brink: 187 passningar, xT 0.26BrinkCaleb Yirenkyi: 172 passningar, xT 0.14YirenkyiStephen Acquah: 156 passningar, xT 0.15AcquahNicklas Rojkjaer: 155 passningar, xT 0.56RojkjaerJuho Lahteenmaki: 134 passningar, xT 0.12LahteenmakiAndreas Hansen: 122 passningar, xT -0.02HansenNoah Markmann: 94 passningar, xT 0.69MarkmannRunar Norheim: 93 passningar, xT 0.06Norheim
    St. Gallen
    Chima Okoroji: 133 passningar, xT 0.33OkorojiJoel Ruiz: 87 passningar, xT 0.49RuizLukas Gortler: 75 passningar, xT 0.47GortlerMihailo Stevanovic: 72 passningar, xT 0.05StevanovicJozo Stanic: 71 passningar, xT 0.05StanicLukas Daschner: 68 passningar, xT 0.36DaschnerHugo Vandermersch: 64 passningar, xT 1.26VandermerschColin Noah Kleine-Bekel: 48 passningar, xT 0.15Kleine-BekelEnoch Owusu: 45 passningar, xT 0.05OwusuLawrence Ati Zigi: 42 passningar, xT 0.05ZigiLukas Watkowiak: 28 passningar, xT 0.03Watkowiak
    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.

    Nordsjælland
    Peter Ankersen: 260 passningar, xT 0.72AnkersenJustin Janssen: 252 passningar, xT 0.41JanssenTobias Salquist: 240 passningar, xT 0.18SalquistMark Brink: 187 passningar, xT 0.26BrinkCaleb Yirenkyi: 172 passningar, xT 0.14YirenkyiStephen Acquah: 156 passningar, xT 0.15AcquahNicklas Rojkjaer: 155 passningar, xT 0.56RojkjaerJuho Lahteenmaki: 134 passningar, xT 0.12LahteenmakiAndreas Hansen: 122 passningar, xT -0.02HansenNoah Markmann: 94 passningar, xT 0.69MarkmannRunar Norheim: 93 passningar, xT 0.06Norheim
    St. Gallen
    Chima Okoroji: 133 passningar, xT 0.33OkorojiJoel Ruiz: 87 passningar, xT 0.49RuizLukas Gortler: 75 passningar, xT 0.47GortlerMihailo Stevanovic: 72 passningar, xT 0.05StevanovicJozo Stanic: 71 passningar, xT 0.05StanicLukas Daschner: 68 passningar, xT 0.36DaschnerHugo Vandermersch: 64 passningar, xT 1.26VandermerschColin Noah Kleine-Bekel: 48 passningar, xT 0.15Kleine-BekelEnoch Owusu: 45 passningar, xT 0.05OwusuLawrence Ati Zigi: 42 passningar, xT 0.05ZigiLukas Watkowiak: 28 passningar, xT 0.03Watkowiak

    The teams in numbers

    PerformanceNordsjællandSt. Gallen
    Points96
    xPoints8.72.7
    xG per match32.8
    xGA per match0.841.5
    xG within 8s of winning the ball0.790.78
    xGA within 8s of losing the ball0.110.2
    Playing styleNordsjællandSt. Gallen
    Build-up efficiency0.350.33
    Field tilt0.780.66
    xT per match1.42.1
    xTA per match0.520.93
    Won balls, offensive half2732
    Pressing intensity0.20.24
    Pressing efficiency0.260.47
    Pressing efficiency, offensive half0.260.54
    Entries into the box per match2123
    Entries into the box against710
    Pass completion %0.860.79
    Pass completion % under pressure0.80.7
    Passes per match582432
    Passes against per match322161
    Switches of play per match31.725.1
    Long balls per match3336
    Set piecesNordsjællandSt. Gallen
    xG from free kicks00.11
    Corners per match6.87.2
    Corners against per match3.54.6
    xG per corner0.010.02
    xGA per corner against0.030.13
    First touch, offensive corners %0.630.64
    First touch, defensive corners %0.710.67
    OtherNordsjællandSt. Gallen
    Throw-in control0.710.77
    The goalkeepersAndreas Hansen (Nordsjælland)Lukas Watkowiak (St. Gallen)
    Saves96
    Save %90%86%
    xG prevented95%84%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Nordsjælland vs St. Gallen according to our model?

    The model gives Nordsjælland a 63% win probability. Full 1X2 picture: Nordsjælland 63%, draw 22%, St. Gallen 15%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.

    More matches in the league

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