2. BundesligaFritz-Walter-Stadion, Kaiserslautern29°9 km/h

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    KaiserslauternKaiserslauternLow block & direct
    vs
    KarlsruheKarlsruhePossession control
    The model's lean: 1 · Kaiserslautern (45%)Best value by the model: X · Draw @ 4.05 (+8 %)

    KaiserslauternKarlsruhe · 2. Bundesliga

    1 · Kaiserslautern 45%X 27%29% Karlsruhe · 2

    Analysis: KaiserslauternKarlsruhe

    Erik Lindberg · · How the predictions work

    Three wins to one, that's the historical edge 1. FC Kaiserslautern hold over Karlsruher SC in their last six meetings. But when you shift focus to the nuances of this season, a different narrative emerges. Despite 1. FC Kaiserslautern being the model's favourite at 45%, the numbers suggest that Karlsruher SC have been outperforming them on both expected points (2.1 vs 1.4) and expected goals per match (1.9 vs 0.69). The model's faith in 1. FC Kaiserslautern is more about historical dominance than recent form.

    Karlsruher SC, with their possession-oriented style, could very well dictate the rhythm against a side that relies on direct play. This clash of styles often produces goals, as evidenced by a historical average of 3.7 goals per meeting. However, the expected goals suggest a tighter affair, with 1. FC Kaiserslautern tipped for 1.63 and Karlsruher SC at 1.32. The over 2.5 goals probability at 56% aligns with this disparity, hinting at a slight edge towards a more contained scoreline.

    1. FC Kaiserslautern's home advantage is notable, winning 55% of their matches at home over 51 games, but Karlsruher SC's defensive stability, allowing just 0.67 xGA per match, could neutralize this advantage. The model prefers a 1-1 draw as the most likely outcome (12%), closely followed by a 2-1 win for the home side (9%). Yet, the weather could play its part, with rain and wind potentially dampening the attacking flair of both teams, already integrated into the model's cautious forecast.

    The sharpest betting angle emerges from the draw odds at 4.05 with Pinnacle. With an 8% edge, it's a value play worth considering, especially given the model's 27% likelihood. Alternatively, the away win also offers value at odds of 3.73 with Pinnacle. While 1. FC Kaiserslautern might have the upper hand historically, the metrics make a compelling case for Karlsruher SC to spring a surprise.

    KaiserslauternKaiserslautern
    Form LLWWD
    League ranking xG #17xGA #8xT #17xP/match #9Points #7
    Key players
    • Simon AstaRWBxG 0.06 · xT -0.01
    KarlsruheKarlsruhe
    Form LWDLW
    League ranking xG #7xGA #1xT #10xP/match #2Points #5
    Key players
    • Marvin WanitzekLWxG 0.29 · xT 0.21
    • Fabian SchleusenerFxG 0.36 · xT 0.04
    • Louey Ben FarhatFxG 0.29 · xT 0.07

    Match prediction: KaiserslauternKarlsruhe

    Predicted score matrix

    Karlsruhe
    Kaiserslautern
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–16.6%
    0–24.6%
    0–32.0%
    0–4+0.9%
    1
    1–08.2%
    1–111.6%
    1–27.4%
    1–33.3%
    1–4+1.4%
    2
    2–07.0%
    2–19.2%
    2–26.1%
    2–32.7%
    2–4+1.2%
    3
    3–03.8%
    3–15.0%
    3–23.3%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.2%
    4+–12.9%
    4+–21.9%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,631,32
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.35EV+2%
    Over 2,556%
    @1.52

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Kaiserslautern or draw (1X)69%
    • Over 1.5 goals80%

    Combined probability

    56%

    Fair odds

    1.80

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

    02 · 3 legs

    Balanced

    • Double chance Kaiserslautern or draw (1X)69%
    • Over 2.5 goals56%
    • Mërgim Berisha to score25%

    Combined probability

    9%

    Fair odds

    10.67

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

    03 · 4 legs

    Bold

    • Both teams to score59%
    • Over 2.5 goals56%
    • Mërgim Berisha to score25%
    • Fabian Kunze to be booked20%

    Combined probability

    2%

    Fair odds

    41.41

    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+).

    • X · Draw27% probability@4.05PinnacleEV+8%
    • 2 · Karlsruhe29% probability@3.73PinnacleEV+8%
    • 2 · Karlsruhe29% probability@3.55BetsafeEV+2%
    Bookmaker1 · KaiserslauternX2 · Karlsruhe
    Betsafe1.853.70
    EV+ 2%
    3.55
    Betsson1.853.70
    EV+ 2%
    3.55
    Nordicbet1.853.70
    EV+ 2%
    3.55
    Pinnacle1.86
    EV+ 8%
    4.05
    EV+ 8%
    3.73

    Odds updated 11 Aug, 02:35

    Odds movement

    1-4 %
    53 %48 %

    1.931.86

    X+4 %
    26 %21 %

    3.904.05

    2+3 %
    28 %23 %

    3.613.73

    Pinnacle · 3 recorded price levels · 09/08/2026 → 10/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Kaiserslautern 3Draw 2Karlsruhe 1
    Goals: 1210 (⌀ 3,7)

    Head-to-head based on 2. Bundesliga data since 2023.

    Key facts

    • 1. FC Kaiserslautern dominate this fixture historically: 3 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.7 goals per meeting on average.
    • 1. FC Kaiserslautern win 55% of their home matches all-time (51 played).
    xG & xGA per match — 3-game rolling average

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

    Kaiserslautern
    Karlsruhe
    When goals are scored and conceded 2026
    Karlsruhe (21)
    Pass networks

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

    Kaiserslautern
    Jacob Vandsø Ryfeldt Rasmussen: 45 passningar, xT 0.38RasmussenMika Haas: 28 passningar, xT 0.06HaasSemih Sahin: 26 passningar, xT 0.02SahinJulian Krahl: 25 passningar, xT 0.03KrahlMaxwell Gyamfi: 23 passningar, xT 0.01GyamfiJan Elvedi: 23 passningar, xT 0.08ElvediFabian Kunze: 20 passningar, xT 0.01KunzeNaatan Skytta: 17 passningar, xT 0.02SkyttaMërgim Berisha: 16 passningar, xT -0.04BerishaSimon Asta: 14 passningar, xT -0.01AstaMarlon Maurice Ritter: 7 passningar, xT 0.02Ritter
    Karlsruhe
    Christoph Kobald: 53 passningar, xT 0.23KobaldMarcel Franke: 49 passningar, xT 0.04FrankeMarvin Wanitzek: 46 passningar, xT 0.23WanitzekDeniz Emre Ofli: 42 passningar, xT 0.03OfliDanyal Zor: 29 passningar, xT 0ZorHans Christian Bernat: 29 passningar, xT 0.05BernatNoel Eichinger: 28 passningar, xT 0.38EichingerSebastian Jung: 23 passningar, xT 0.12JungKevin Wiethaup: 22 passningar, xT 0.02WiethaupRafael Pinto Pedrosa: 16 passningar, xT 0.01PedrosaLilian Niclas Egloff: 14 passningar, xT -0.01Egloff
    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.

    Kaiserslautern
    Jacob Vandsø Ryfeldt Rasmussen: 45 passningar, xT 0.38RasmussenMika Haas: 28 passningar, xT 0.06HaasSemih Sahin: 26 passningar, xT 0.02SahinJulian Krahl: 25 passningar, xT 0.03KrahlMaxwell Gyamfi: 23 passningar, xT 0.01GyamfiJan Elvedi: 23 passningar, xT 0.08ElvediFabian Kunze: 20 passningar, xT 0.01KunzeNaatan Skytta: 17 passningar, xT 0.02SkyttaMërgim Berisha: 16 passningar, xT -0.04BerishaSimon Asta: 14 passningar, xT -0.01AstaMarlon Maurice Ritter: 7 passningar, xT 0.02Ritter
    Karlsruhe
    Christoph Kobald: 53 passningar, xT 0.23KobaldMarcel Franke: 49 passningar, xT 0.04FrankeMarvin Wanitzek: 46 passningar, xT 0.23WanitzekDeniz Emre Ofli: 42 passningar, xT 0.03OfliDanyal Zor: 29 passningar, xT 0ZorHans Christian Bernat: 29 passningar, xT 0.05BernatNoel Eichinger: 28 passningar, xT 0.38EichingerSebastian Jung: 23 passningar, xT 0.12JungKevin Wiethaup: 22 passningar, xT 0.02WiethaupRafael Pinto Pedrosa: 16 passningar, xT 0.01PedrosaLilian Niclas Egloff: 14 passningar, xT -0.01Egloff

    The teams in numbers

    PerformanceKaiserslauternKarlsruhe
    Points13
    xPoints1.42.1
    xG per match0.691.9
    xGA per match1.30.67
    xG within 8s of winning the ball0.190.18
    xGA within 8s of losing the ball0.110.02
    Playing styleKaiserslauternKarlsruhe
    Build-up efficiency0.310.3
    Field tilt0.280.71
    xT per match0.480.95
    xTA per match1.81.1
    Won balls, offensive half2425
    Pressing intensity0.230.29
    Pressing efficiency0.20.39
    Pressing efficiency, offensive half0.270.33
    Entries into the box per match720
    Entries into the box against119
    Pass completion %0.680.79
    Pass completion % under pressure0.640.79
    Passes per match255395
    Passes against per match493285
    Switches of play per match17.121.2
    Long balls per match2537
    Set piecesKaiserslauternKarlsruhe
    xG from free kicks0.040.06
    Corners per match26
    Corners against per match9.16
    xG per corner00.04
    xGA per corner against0.030.01
    First touch, offensive corners %00.5
    First touch, defensive corners %0.890.33
    OtherKaiserslauternKarlsruhe
    Throw-in control0.580.91
    The goalkeepersJulian Krahl (Kaiserslautern)Hans Christian Bernat (Karlsruhe)
    Saves54
    Save %100%80%
    xG prevented100%75%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Kaiserslautern vs Karlsruhe according to our model?

    The model gives Kaiserslautern a 45% win probability. Full 1X2 picture: Kaiserslautern 45%, draw 27%, Karlsruhe 29%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.