EFL ChampionshipCarrow Road, Norwich15°0,2 mm23 km/h

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    Norwich CityNorwich CityPossession & high press
    vs
    Birmingham CityBirmingham CityPossession control
    The model's lean: 1 · Norwich City (40%)Best value by the model: 2 · Birmingham City @ 3.90 (+31 %)

    Norwich CityBirmingham City · EFL Championship

    1 · Norwich City 40%X 27%33% Birmingham City · 2

    Analysis: Norwich CityBirmingham City

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

    With Birmingham City unbeaten in their last nine league games, they enter the match with a formidable sense of control and stability. However, despite their recent streak, they face a Norwich side that is statistically expected to edge out a narrow win. The model gives the hosts a 40% chance of victory compared to the visitors' 33%, suggesting Norwich’s blend of possession and high pressing might just disrupt Birmingham’s usually steady ship.

    Birmingham's recent head-to-head dominance over Norwich, winning both encounters since 2023, might seem significant. However, with only two games to reference, this small sample holds less weight than the current season data and expected goals, which favor Norwich slightly. The Canaries generate 1.6 xG per match, higher than Birmingham's 1.2, indicating a potential edge in offensive creation.

    The expected goals tally suggests a tight contest, with Norwich City at 1.42 and Birmingham City at 1.29. This points toward a narrow scoreline, likely a 1-1 draw or a 1-0 or 2-1 win for Norwich. The over/under 2.5 goals market is finely balanced at 51%, and both teams to score is marginally more probable at 55%. This leans towards a game that could see goals but remains finely poised between cautious play and opportunistic attack.

    Given the numbers, the best betting angle might be in the correct score markets. With a 13% probability, the 1-1 draw appears as the most plausible result.

    Norwich CityNorwich City
    Form LLLWL
    League ranking xG #8xGA #13xT #18xP/match #6Points #20
    Key players
    • Kenny McleanCDMxG 0.08 · xT 0.17
    • Oscar SchwartauLWxG 0.12 · xT 0.06
    • Jose CordobaCBxG 0.01 · xT 0.11
    Birmingham CityBirmingham City
    Form DDDWD
    League ranking xG #15xGA #7xT #16xP/match #11Points #10
    Key players
    • Alexander William CochraneLWBxG 0.01 · xT 0.25
    • Tomoki IwataCMxG 0.06 · xT 0.04
    • Patrick RobertsRWxG 0.07 · xT 0.21

    Match prediction: Norwich CityBirmingham City

    Predicted score matrix

    Birmingham City
    Norwich City
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–18.2%
    0–25.5%
    0–32.4%
    0–4+1.0%
    1
    1–09.1%
    1–112.5%
    1–27.9%
    1–33.4%
    1–4+1.4%
    2
    2–06.7%
    2–18.6%
    2–25.6%
    2–32.4%
    2–4+1.0%
    3
    3–03.2%
    3–14.1%
    3–22.6%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.5%
    4+–12.0%
    4+–21.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,421,29
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.00
    Over 2,551%
    @1.83

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Norwich City or draw (1X)66%
    • Over 1.5 goals76%

    Combined probability

    50%

    Fair odds

    2.00

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

    02 · 3 legs

    Balanced

    • Double chance Norwich City or draw (1X)66%
    • Over 2.5 goals51%
    • Oscar Schwartau to score21%

    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 score55%
    • Over 2.5 goals51%
    • Oscar Schwartau to score21%
    • Tomoki Iwata to be booked26%

    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+).

    • 2 · Birmingham City33% probability@3.90BetsafeEV+31%reference odds
    • 2 · Birmingham City33% probability@3.90BetssonEV+31%reference odds
    • 2 · Birmingham City33% probability@3.90NordicbetEV+31%reference odds
    Bookmaker1 · Norwich CityX2 · Birmingham City
    Betsafe1.923.45
    EV+ 31%
    3.90
    Betsson1.923.45
    EV+ 31%
    3.90
    Nordicbet1.923.45
    EV+ 31%
    3.90
    Pinnacle1.953.64
    EV+ 25%
    3.73

    Odds updated 7 Sept, 16:36

    Odds movement

    1+1 %
    51 %46 %

    1.931.95

    X-1 %
    28 %23 %

    3.663.64

    2-1 %
    28 %23 %

    3.783.73

    Over 2,50 %
    55 %50 %

    1.821.83

    Pinnacle · 3 recorded price levels · 06/09/2026 → 07/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Norwich City 0Draw 0Birmingham City 2
    Goals: 26 (⌀ 4)

    Head-to-head based on Championship data since 2023.

    Key facts

    • Birmingham City are unbeaten in their last 9 league matches.
    xG & xGA per match — 3-game rolling average

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

    Norwich City
    Birmingham City
    When goals are scored and conceded 2026
    Norwich City (57)
    Birmingham City (54)
    Pass networks

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

    Norwich City
    Jose Cordoba: 222 passningar, xT 0.45CordobaKenny Mclean: 182 passningar, xT 0.53McleanPelle Mattsson: 126 passningar, xT 0.23MattssonBen Chrisene: 119 passningar, xT 0.04ChriseneRuairi Mcconville: 103 passningar, xT 0.26McconvilleVladan Kovačević: 95 passningar, xT 0.02KovačevićHarry Darling: 88 passningar, xT 0.08DarlingJack Stacey: 76 passningar, xT 0.29StaceyKellen Fisher: 55 passningar, xT -0.01FisherAndre Chance Brooks: 50 passningar, xT 0.06BrooksOscar Schwartau: 46 passningar, xT 0.14Schwartau
    Birmingham City
    Jhon Solís: 140 passningar, xT 0.07SolísTomoki Iwata: 137 passningar, xT 0.18IwataChristoph Klarer: 126 passningar, xT 0.31KlarerAlexander William Cochrane: 118 passningar, xT 1.01CochraneBright Osayi-Samuel: 109 passningar, xT 0.16Osayi-SamuelPhil Yannik Neumann: 99 passningar, xT 0.1NeumannCarlos Vicente Robles: 60 passningar, xT 0.04RoblesJames Beadle: 55 passningar, xT 0.23BeadleSeung-Ho Paik: 50 passningar, xT 0.1PaikJay Stansfield: 37 passningar, xT 0.18StansfieldDemarai Ramelle Gray: 35 passningar, xT -0.04Gray
    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.

    Norwich City
    Jose Cordoba: 222 passningar, xT 0.45CordobaKenny Mclean: 182 passningar, xT 0.53McleanPelle Mattsson: 126 passningar, xT 0.23MattssonBen Chrisene: 119 passningar, xT 0.04ChriseneRuairi Mcconville: 103 passningar, xT 0.26McconvilleVladan Kovačević: 95 passningar, xT 0.02KovačevićHarry Darling: 88 passningar, xT 0.08DarlingJack Stacey: 76 passningar, xT 0.29StaceyKellen Fisher: 55 passningar, xT -0.01FisherAndre Chance Brooks: 50 passningar, xT 0.06BrooksOscar Schwartau: 46 passningar, xT 0.14Schwartau
    Birmingham City
    Jhon Solís: 140 passningar, xT 0.07SolísTomoki Iwata: 137 passningar, xT 0.18IwataChristoph Klarer: 126 passningar, xT 0.31KlarerAlexander William Cochrane: 118 passningar, xT 1.01CochraneBright Osayi-Samuel: 109 passningar, xT 0.16Osayi-SamuelPhil Yannik Neumann: 99 passningar, xT 0.1NeumannCarlos Vicente Robles: 60 passningar, xT 0.04RoblesJames Beadle: 55 passningar, xT 0.23BeadleSeung-Ho Paik: 50 passningar, xT 0.1PaikJay Stansfield: 37 passningar, xT 0.18StansfieldDemarai Ramelle Gray: 35 passningar, xT -0.04Gray

    The teams in numbers

    PerformanceNorwich CityBirmingham City
    Points36
    xPoints6.76
    xG per match1.61.2
    xGA per match1.51.2
    xG within 8s of winning the ball0.310.13
    xGA within 8s of losing the ball0.090.24
    Playing styleNorwich CityBirmingham City
    Build-up efficiency0.280.33
    Field tilt0.590.56
    xT per match0.830.89
    xTA per match0.880.97
    Won balls, offensive half2926
    Pressing intensity0.220.22
    Pressing efficiency0.350.34
    Pressing efficiency, offensive half0.310.33
    Entries into the box per match1112
    Entries into the box against1110
    Pass completion %0.750.64
    Pass completion % under pressure0.670.62
    Passes per match355259
    Passes against per match315294
    Switches of play per match21.818.1
    Long balls per match2528
    Set piecesNorwich CityBirmingham City
    xG from free kicks00.1
    Corners per match4.86
    Corners against per match4.63.2
    xG per corner0.020.05
    xGA per corner against0.030.05
    First touch, offensive corners %0.320.43
    First touch, defensive corners %0.50.54
    OtherNorwich CityBirmingham City
    Throw-in control0.740.73
    The goalkeepersVladan Kovačević (Norwich City)James Beadle (Birmingham City)
    Saves1011
    Save %59%73%
    xG prevented39%45%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Norwich City vs Birmingham City according to our model?

    The model gives Norwich City a 40% win probability. Full 1X2 picture: Norwich City 40%, draw 27%, Birmingham City 33%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.