Conference League18°9,6 mm7 km/h

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    St. GallenSt. GallenPossession control
    vs
    NordsjællandNordsjællandPossession & high press
    The model's lean: 2 · Nordsjælland (41%)

    St. GallenNordsjælland · Conference League

    1 · St. Gallen 33%X 25%41% Nordsjælland · 2

    Analysis: St. GallenNordsjælland

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

    Possession control versus high press: this contrast forms the backbone of the upcoming clash between St. Gallen and Nordsjaelland. The visitors' model-backed 41% probability to win underscores their recent form and tactical approach. With three straight victories, Nordsjaelland enters this match as the more poised side, particularly given their capacity to disrupt opponents with a relentless press.

    St. Gallen, despite their penchant for controlling possession, face an uphill battle. Their attack is consistent, having scored in nine consecutive league matches, yet this doesn't mask the chasm in defensive solidity. Their xGA per match stands at 1.5, notably higher than Nordsjaelland’s 0.84. This discrepancy suggests a vulnerability that the visitors will look to exploit, especially in a game where the model leans toward a Nordsjaelland victory.

    The predicted scorelines of 1-1 and 1-2 reflect the match's potential to be tightly contested. With expected goals for both teams hovering around 1.5, the game could pivot on minor details. While over 2.5 goals is favored at 58%, the 9.6 mm of rain expected might suppress scoring opportunities, slightly tempering the pace and effectiveness of St. Gallen’s possession-heavy game.

    In terms of value, the odds on a Nordsjaelland win may present a lucrative opportunity for the discerning bettor. Their superior xPoints and recent three-game win streak provide a robust foundation for this assessment. Backing the visitors at favorable odds aligns well with the model's lean, particularly if you can secure odds higher than the probability suggests.

    Ultimately, expect a balanced affair where a 1-1 draw or a narrow 2-1 win for Nordsjaelland is within reach. For those seeking an edge, Nordsjaelland to win at attractive odds could be the key to cashing in on this encounter's analytical underpinnings.

    St. GallenSt. Gallen
    Form DLDWW
    League ranking xG #4xGA #16xT #4xP/match #17Points #11
    Key players
    • Lukas GortlerRWxG 0.29 · xT 0.27
    • Leon FrokajLWxG 0.41 · xT 0.33
    • Chima OkorojiCBxG 0.02 · xT 0.19
    NordsjællandNordsjælland
    Form LWWW
    League ranking xG #3xGA #6xT #8xP/match #2Points #5
    Key players
    • Hjalte Boe RasmussenFxG 0.76 · xT 0.02
    • Juho LahteenmakiRWxG 0.08 · xT 0.06
    • Villum BerthelsenRWxG 0.43 · xT 0.09

    Match prediction: St. GallenNordsjælland

    Predicted score matrix

    Nordsjælland
    St. Gallen
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–17.7%
    0–26.6%
    0–33.7%
    0–4+2.2%
    1
    1–06.3%
    1–111.3%
    1–29.1%
    1–35.1%
    1–4+3.1%
    2
    2–04.5%
    2–17.5%
    2–26.3%
    2–33.5%
    2–4+2.1%
    3
    3–02.1%
    3–13.4%
    3–22.9%
    3–31.6%
    3–4+1.0%
    4+
    4+–01.0%
    4+–11.6%
    4+–21.3%
    4+–30.7%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-18%
    5. 5.0-27%
    Expected goals
    1,371,66
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    Over 2,558%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Nordsjælland or draw (X2)69%
    • Over 1.5 goals81%

    Combined probability

    56%

    Fair odds

    1.79

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

    02 · 3 legs

    Balanced

    • Double chance Nordsjælland or draw (X2)69%
    • Over 2.5 goals58%
    • Hjalte Boe Kling Rasmussen 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 score61%
    • Over 2.5 goals58%
    • Hjalte Boe Kling Rasmussen to score25%
    • Colin Noah Kleine-Bekel 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

    No odds available yet.

    Statistics

    Key facts

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

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

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

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

    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
    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
    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.

    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
    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

    The teams in numbers

    PerformanceSt. GallenNordsjælland
    Points69
    xPoints2.78.7
    xG per match2.83
    xGA per match1.50.84
    xG within 8s of winning the ball0.780.79
    xGA within 8s of losing the ball0.20.11
    Playing styleSt. GallenNordsjælland
    Build-up efficiency0.330.35
    Field tilt0.660.78
    xT per match2.11.4
    xTA per match0.930.52
    Won balls, offensive half3227
    Pressing intensity0.240.2
    Pressing efficiency0.470.26
    Pressing efficiency, offensive half0.540.26
    Entries into the box per match2321
    Entries into the box against107
    Pass completion %0.790.86
    Pass completion % under pressure0.70.8
    Passes per match433583
    Passes against per match161322
    Switches of play per match25.231.8
    Long balls per match3634
    Set piecesSt. GallenNordsjælland
    xG from free kicks0.110
    Corners per match7.26.9
    Corners against per match4.63.6
    xG per corner0.020.01
    xGA per corner against0.130.03
    First touch, offensive corners %0.640.63
    First touch, defensive corners %0.670.71
    OtherSt. GallenNordsjælland
    Throw-in control0.770.71
    The goalkeepersLukas Watkowiak (St. Gallen)Andreas Hansen (Nordsjælland)
    Saves69
    Save %86%90%
    xG prevented84%95%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives Nordsjælland a 41% win probability. Full 1X2 picture: St. Gallen 33%, draw 25%, Nordsjælland 41%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.