EredivisieEuroborg, Groningen22°16 km/hUpdated

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    GroningenGroningenPossession control
    vs
    The model's lean: 2 · Utrecht (38%)
    UtrechtUtrechtPossession control

    GroningenUtrecht · Eredivisie

    1 · Groningen 35%X 27%38% Utrecht · 2
    GroningenGroningen
    Form LLWWL
    League ranking xG #8xGA #8xT #7xP/match #8Points #9
    Key players
    • Thom van BergenFxG 0.35 · xT 0.04
    • Younes Taha El IdrissiFxG 0.19 · xT 0.2
    • Jorg SchreudersLWxG 0.06 · xT 0.09
    UtrechtUtrecht
    Form WWWWD
    League ranking xG #7xGA #3xT #9xP/match #3Points #6
    Key players
    • Artem StepanovFxG 0.52 · xT 0.03
    • Souffian El KarouaniLWBxG 0.08 · xT 0.2
    • David MinFxG 0.52 · xT 0.07

    Match prediction: GroningenUtrecht

    Predicted score matrix

    Utrecht
    Groningen
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–18.0%
    0–26.0%
    0–32.9%
    0–4+1.5%
    1
    1–07.7%
    1–112.0%
    1–28.5%
    1–34.1%
    1–4+2.1%
    2
    2–05.7%
    2–18.2%
    2–26.0%
    2–32.9%
    2–4+1.5%
    3
    3–02.7%
    3–13.9%
    3–22.8%
    3–31.4%
    3–4+0.7%
    4+
    4+–01.3%
    4+–11.9%
    4+–21.4%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-08%
    Expected goals
    1,411,46
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.00
    Over 2,555%
    @1.81

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Utrecht38% probability@2.93PinnacleEV+11%
    Bookmaker1 · GroningenX2 · Utrecht
    Pinnacle2.373.39
    EV+ 11%
    2.93

    Odds updated 4 Aug, 09:03

    Analysis: GroningenUtrecht

    Oscar Nilsson · · How the predictions work

    38% is the model probability tipping in favour of FC Utrecht, and that's where the smart money appears to sit. Though it's a tightrope walk between two possession-centric sides, the undercurrent of FC Utrecht's form and the historical edge they hold over Groningen since 2022 can't be ignored. With three wins out of four encounters in their favour, they seem to have Groningen's number, and the unbeaten streak in their last five league matches only brightens their prospects.

    Groningen has its moments, no doubt. They control the ball, but what do they do with it? They're averaging 1.41 expected goals per game, enough to keep them competitive but not necessarily dominant. FC Utrecht, matching Groningen's xG at 1.6 per match, have proven more effective in converting chances when it counts. Despite both teams' tendency to hog possession, it’s FC Utrecht who consistently capitalise on it.

    Groningen could hope to outfox FC Utrecht with a 2-1 success — that 8% scoreline probability whispers of a possible upset. However, the more pragmatic bet aligns with the numbers: a 1-2 result seems feasible, with a 9% likelihood. And with the over 2.5 goals sitting at a 55% probability, bettors might find solace in a goal-fest rather than a cagey affair.

    Yet, the real angle lies in the betting market. The value is glaring. Pinnacle offers FC Utrecht at odds of 2.93, which, against a model giving them a 38% chance, presents an 11% edge — a rare treat for the discerning punter. This isn’t just a wager on FC Utrecht's ability to nick a victory; it's a calculated nod to the inefficiencies of the bookmaker, offering an enticing opportunity to those who dare to back the numbers.

    Statistics

    Head-to-head

    4 matches
    Groningen 1Draw 0Utrecht 3
    Goals: 36 (⌀ 2,2)

    Head-to-head based on Eredivisie data since 2022.

    Key facts

    • FC Utrecht are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Groningen
    Utrecht
    When goals are scored and conceded 2025
    Groningen (4947)
    Utrecht (5945)
    Pass networks

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

    Groningen
    Thijmen Blokzijl: 238 passningar, xT 0.29BlokzijlDies Janse: 222 passningar, xT 0.46JanseTygo Land: 201 passningar, xT 0.3LandMarco Rente: 136 passningar, xT 0.48RenteTika de Jonge: 132 passningar, xT 0.43JongeJorg Schreuders: 132 passningar, xT 0.07SchreudersMarvin Peersman: 130 passningar, xT 0.41PeersmanEtienne Vaessen: 120 passningar, xT 0.34VaessenDavid van der Werff: 82 passningar, xT 0.16WerffYounes Taha El Idrissi: 61 passningar, xT 0.63IdrissiThom van Bergen: 57 passningar, xT 0.08Bergen
    Utrecht
    Mike Adrianus Wilhelmus van der Hoorn: 254 passningar, xT 0.46HoornSouffian El Karouani: 246 passningar, xT 0.94KarouaniGjivai Zechiël: 213 passningar, xT 0.85ZechiëlMike Eerdhuijzen: 189 passningar, xT 0.24EerdhuijzenNiklas Brøndsted Vesterlund Nielsen: 161 passningar, xT 0.42NielsenVasilis Cornelius Barkas: 152 passningar, xT 0.06BarkasAlonzo Engwanda: 118 passningar, xT 0.33EngwandaDani de Wit: 114 passningar, xT 0.08WitYoann Cathline: 89 passningar, xT 0.93CathlineKarl Jesper Karlsson: 71 passningar, xT 0.85KarlssonSébastien Romain Teddy Haller: 60 passningar, xT -0.13Haller
    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.

    Groningen
    Thijmen Blokzijl: 238 passningar, xT 0.29BlokzijlDies Janse: 222 passningar, xT 0.46JanseTygo Land: 201 passningar, xT 0.3LandMarco Rente: 136 passningar, xT 0.48RenteTika de Jonge: 132 passningar, xT 0.43JongeJorg Schreuders: 132 passningar, xT 0.07SchreudersMarvin Peersman: 130 passningar, xT 0.41PeersmanEtienne Vaessen: 120 passningar, xT 0.34VaessenDavid van der Werff: 82 passningar, xT 0.16WerffYounes Taha El Idrissi: 61 passningar, xT 0.63IdrissiThom van Bergen: 57 passningar, xT 0.08Bergen
    Utrecht
    Mike Adrianus Wilhelmus van der Hoorn: 254 passningar, xT 0.46HoornSouffian El Karouani: 246 passningar, xT 0.94KarouaniGjivai Zechiël: 213 passningar, xT 0.85ZechiëlMike Eerdhuijzen: 189 passningar, xT 0.24EerdhuijzenNiklas Brøndsted Vesterlund Nielsen: 161 passningar, xT 0.42NielsenVasilis Cornelius Barkas: 152 passningar, xT 0.06BarkasAlonzo Engwanda: 118 passningar, xT 0.33EngwandaDani de Wit: 114 passningar, xT 0.08WitYoann Cathline: 89 passningar, xT 0.93CathlineKarl Jesper Karlsson: 71 passningar, xT 0.85KarlssonSébastien Romain Teddy Haller: 60 passningar, xT -0.13Haller

    The teams in numbers

    PerformanceGroningenUtrecht
    Points4857
    xPoints49.460.1
    xG per match1.61.6
    xGA per match1.41.2
    xG within 8s of winning the ball0.270.25
    xGA within 8s of losing the ball0.160.14
    Playing styleGroningenUtrecht
    Build-up efficiency0.320.29
    Field tilt0.550.42
    xT per match1.21.1
    xTA per match0.880.85
    Won balls, offensive half2928
    Pressing intensity0.220.24
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.310.28
    Entries into the box per match1413
    Entries into the box against1112
    Pass completion %0.750.75
    Pass completion % under pressure0.710.7
    Passes per match346331
    Passes against per match339394
    Switches of play per match20.423.6
    Long balls per match3335
    Set piecesGroningenUtrecht
    xG from free kicks0.080.11
    Corners per match6.15.2
    Corners against per match4.94.6
    xG per corner0.040.06
    xGA per corner against0.060.04
    First touch, offensive corners %0.510.39
    First touch, defensive corners %0.550.58
    OtherGroningenUtrecht
    Throw-in control0.750.76
    The goalkeepersEtienne Vaessen (Groningen)Vasilis Cornelius Barkas (Utrecht)
    Saves71123
    Save %66%75%
    xG prevented37%58%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Groningen vs Utrecht according to our model?

    The model gives Utrecht a 38% win probability. Full 1X2 picture: Groningen 35%, draw 27%, Utrecht 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.