BundesligaRheinEnergieStadion, Köln12°16 km/h

    Läs på svenska
    FC KölnFC KölnLow block & direct
    vs
    Borussia MönchengladbachBorussia MönchengladbachBalanced & physical
    The model's lean: 1 · FC Köln (41%)Best value by the model: Under 0,5 @ 21.00 (+21 %)

    FC Köln vs Borussia Mönchengladbach · Bundesliga

    1 · FC Köln 41%X 29%30% Borussia Mönchengladbach · 2

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: FC Köln – Borussia Mönchengladbach

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: FC Köln boast an impressive run, netting in 14 consecutive league matches. This scoring consistency contrasts sharply with Borussia Mönchengladbach's recent form, as the visitors have suffered four straight defeats. The model favors Köln with a 41% chance of winning, supported by superior xPoints and a striking advantage in xGA per match—1.7 for Köln against Gladbach's worrying 2.9. While Gladbach's style is balanced and physical, their recent struggles suggest vulnerabilities that Köln can exploit.

    Head-to-head, the teams have clashed just twice since 2022, producing one draw and one win for Gladbach. This limited sample hardly outweighs Köln's current form and expected goals superiority. The hosts generate 2.0 xG per match compared to Gladbach's 1.7, reflecting a more potent attack. The most likely scorelines of 1-1 and 2-1 underscore a close contest but lean towards a home edge.

    Rain is expected, potentially dampening goal totals despite a 56% projection for over 2.5 goals. However, Köln's attack and Gladbach's defensive woes point to a 2-1 prediction. With a 41% win probability and Köln's recent performances, backing the hosts looks like the stronger side of this matchup.

    FC KölnFC Köln
    Form LWLDL
    League ranking xG #6xGA #10xT #12xP/match #6Points #13
    Key players
    • Thijs DallingaFxG 1.19 · xT 0.01
    • Marius BülterFxG 1.31 · xT 0.26
    • Linton MainaFxG 0.05 · xT 0.13
    Borussia MönchengladbachBorussia Mönchengladbach
    Form WLLLL
    League ranking xG #10xGA #18xT #11xP/match #15Points #18
    Key players
    • Isac Alexi Sivert LidbergFxG 0.25 · xT 0.10
    • Axel Hugo BolinFxG 0.36 · xT 0.17
    • Franck HonoratRWxG 0.06 · xT 0.25

    Match prediction: FC Köln – Borussia Mönchengladbach

    Predicted score matrix

    Borussia Mönchengladbach →
    FC Köln →
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–16.7%
    0–24.6%
    0–32.0%
    0–4+0.9%
    1
    1–08.4%
    1–111.7%
    1–27.4%
    1–33.2%
    1–4+1.4%
    2
    2–07.0%
    2–19.2%
    2–26.0%
    2–32.6%
    2–4+1.1%
    3
    3–03.8%
    3–14.9%
    3–23.2%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.2%
    4+–12.8%
    4+–21.9%
    4+–30.8%
    4+–4+0.3%
    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
    1,61–1,30
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.67EV+18%
    Over 2,556%
    @1.49

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance FC Köln or draw (1X)69%
    • Over 1.5 goals79%

    Combined probability

    55%

    Fair odds

    1.81

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

    02 · 3 legs

    Balanced

    • Double chance FC Köln or draw (1X)69%
    • Over 2.5 goals56%
    • Ísak Bergmann Jóhannesson to score22%

    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 score59%
    • Over 2.5 goals56%
    • Shuto Machino to score23%
    • Joseph Michael Scally to be booked23%

    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+).

    • Under 0.56% probability@21.00BetsafeEV+21%reference odds
    • Under 0.56% probability@21.00NordicbetEV+21%reference odds
    • Under 2.544% probability@2.67BetsafeEV+18%reference odds
    Bookmaker1 · FC KölnX2 · Borussia Mönchengladbach
    Betsafe1.95
    EV+ 10%
    3.80
    EV+ 2%
    3.40
    LeoVegas2.02
    EV+ 13%
    3.90
    3.25
    Nordicbet1.95
    EV+ 10%
    3.80
    EV+ 2%
    3.40

    Odds updated 4 Oct, 16:36

    Odds movement

    1+2 %
    50 %45 %

    1.98 → 2.02

    X0 %
    27 %22 %

    3.90 → 3.90

    2-3 %
    31 %26 %

    3.35 → 3.25

    Over 2,5+1 %
    66 %61 %

    1.47 → 1.48

    LeoVegas · 6 recorded price levels · 02/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    FC Köln 0Draw 1Borussia Mönchengladbach 1
    Goals: 4–6 (⌀ 5)

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

    Key facts

    • FC Koln have scored in 14 consecutive league matches.
    • Borussia Monchengladbach have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    FC Köln
    Borussia Mönchengladbach
    When goals are scored and conceded — 2026
    FC Köln (6–9)
    Borussia Mönchengladbach (6–16)
    Pass networks

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

    FC Köln
    Luka Lochoshvili: 221 passningar, xT 0.05LochoshviliJahmai Simpson-Pusey: 210 passningar, xT 0.06Simpson-PuseyGideon Mensah: 175 passningar, xT 0.6MensahEllyes Joris Skhiri: 146 passningar, xT 0.44SkhiriTom Krauß: 130 passningar, xT 0.08KraußMarvin Schwäbe: 129 passningar, xT 0.29SchwäbeAlessio Castro Montes: 98 passningar, xT 0.24MontesIsak Johannesson: 73 passningar, xT 0.23JohannessonLinton Maina: 69 passningar, xT 0.32MainaMikey Steven Danny Moore: 49 passningar, xT 0.22MoorePaul Michael Junior Okon-Engstler: 45 passningar, xT 0.01Okon-Engstler
    Borussia Mönchengladbach
    Kevin Diks: 189 passningar, xT 0.38DiksPhilipp Sander: 185 passningar, xT 0.28SanderKo Itakura: 147 passningar, xT 0.41ItakuraMoritz Nicolas: 109 passningar, xT 0.16NicolasJoe Scally: 98 passningar, xT 0.34ScallyKevin Stöger: 85 passningar, xT 0.1StögerJan Leszczyński: 73 passningar, xT 0.15LeszczyńskiAxel Hugo Bolin: 66 passningar, xT 0.42BolinFranck Honorat: 64 passningar, xT 0.67HonoratLukas Ullrich: 63 passningar, xT 0.64UllrichMathieu Nguefack: 49 passningar, xT 0.01Nguefack
    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.

    FC Köln
    Luka Lochoshvili: 221 passningar, xT 0.05LochoshviliJahmai Simpson-Pusey: 210 passningar, xT 0.06Simpson-PuseyGideon Mensah: 175 passningar, xT 0.6MensahEllyes Joris Skhiri: 146 passningar, xT 0.44SkhiriTom Krauß: 130 passningar, xT 0.08KraußMarvin Schwäbe: 129 passningar, xT 0.29SchwäbeAlessio Castro Montes: 98 passningar, xT 0.24MontesIsak Johannesson: 73 passningar, xT 0.23JohannessonLinton Maina: 69 passningar, xT 0.32MainaMikey Steven Danny Moore: 49 passningar, xT 0.22MoorePaul Michael Junior Okon-Engstler: 45 passningar, xT 0.01Okon-Engstler
    Borussia Mönchengladbach
    Kevin Diks: 189 passningar, xT 0.38DiksPhilipp Sander: 185 passningar, xT 0.28SanderKo Itakura: 147 passningar, xT 0.41ItakuraMoritz Nicolas: 109 passningar, xT 0.16NicolasJoe Scally: 98 passningar, xT 0.34ScallyKevin Stöger: 85 passningar, xT 0.1StögerJan Leszczyński: 73 passningar, xT 0.15LeszczyńskiAxel Hugo Bolin: 66 passningar, xT 0.42BolinFranck Honorat: 64 passningar, xT 0.67HonoratLukas Ullrich: 63 passningar, xT 0.64UllrichMathieu Nguefack: 49 passningar, xT 0.01Nguefack

    The teams in numbers

    PerformanceFC KölnBorussia Mönchengladbach
    Points40
    xPoints6.63.7
    xG per match21.7
    xGA per match1.72.9
    xG within 8s of winning the ball0.390.31
    xGA within 8s of losing the ball0.250.6
    Playing styleFC KölnBorussia Mönchengladbach
    Build-up efficiency0.350.28
    Field tilt0.430.42
    xT per match11.1
    xTA per match1.31.6
    Won balls, offensive half1924
    Pressing intensity0.250.25
    Pressing efficiency0.250.24
    Pressing efficiency, offensive half0.20.2
    Entries into the box per match1212
    Entries into the box against1618
    Pass completion %0.780.76
    Pass completion % under pressure0.750.68
    Passes per match377334
    Passes against per match395386
    Switches of play per match24.417.6
    Long balls per match2928
    Set piecesFC KölnBorussia Mönchengladbach
    xG from free kicks0.010.08
    Corners per match6.86.7
    Corners against per match6.35.2
    xG per corner0.050.04
    xGA per corner against0.060.13
    First touch, offensive corners %0.220.26
    First touch, defensive corners %0.480.55
    OtherFC KölnBorussia Mönchengladbach
    Throw-in control0.770.73
    The goalkeepersMarvin Schwäbe (FC Köln)Moritz Nicolas (Borussia Mönchengladbach)
    Saves1524
    Save %63%60%
    xG prevented61%38%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins FC Köln vs Borussia Mönchengladbach according to our model?

    The model gives FC Köln a 41% win probability. Full 1X2 picture: FC Köln 41%, draw 29%, Borussia Mönchengladbach 30%.

    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.

    More matches in the league

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