# FC Köln vs Heidenheim > Bundesliga · Kickoff Sun 10 May 2026, 15:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/781) **Status:** Finished **Final score:** FC Köln 1–3 Heidenheim ## Model verdict - **FC Köln win:** 62% - **Draw:** 8% - **Heidenheim win:** 30% - **Source:** model ## Pre-match deep dive ### Home advantage and attacking angles tilt the balance ## The stage Sunday’s match has straightforward stakes inside the Bundesliga; kickoff is scheduled for Sun 10 May 2026 at 15:30 UTC.[^fact-1] No venue details are provided in the available facts, so attention must fall on timing and competition alone.[^fact-1] ## Form & momentum On raw model probability, the home side carries a clear lead: the model gives the home result 62%, a draw 8% and the away win 30% — a distribution with a 32 percentage-point confidence gap to the runner-up outcome cited by the source.[^fact-2] That probability aligns with a substantial Elo edge for the hosts: the Elo differential, with home advantage applied, sits at +186 points in favour of the home side.[^fact-3] Recent form paints a picture of two mid-table sides trading inconsistency. The home team’s last 10 matches read DLDWD, yielding 1–6–3 (W–D–L), 0.90 points per game, 1.60 goals scored and 1.80 conceded per match.[^fact-4] The visitors’ sequence is DWLWD, giving 2–4–4 (W–D–L), 1.00 points per game, 1.90 goals scored and 2.10 conceded per match.[^fact-5] Put bluntly: the home side’s Elo advantage and the model’s probabilities point to a clearer underlying edge, while both teams have exhibited defensive vulnerability in recent outings according to goals conceded rates.[^fact-3][^fact-4][^fact-5] ## Personnel Said El Mala is the home side’s in-form contributor, returning 2 goals and 1 assist across his last 5 appearances with an average rating of 6.98.[^fact-9] For the visitors, Budu Zivzivadze carries the threat: 5 goals in his last 5 appearances and an average rating of 7.16.[^fact-10] Availability concerns will matter. The home team must cope without Eric Martel, who is suspended after accumulating 757 minutes in the recent run.[^fact-11] The visitors are missing Benedikt Gimber through injury; Gimber had logged 413 minutes in the recent sequence before his absence.[^fact-12] Those absences are non-trivial. Losing the player with 757 minutes of recent involvement reduces continuity for the home side’s setup,[^fact-11] while the visitors lose a 413-minute contributor from their recent minutes loadout.[^fact-12] ## Where the model sees value Three market comparisons were analysed against the model.[^fact-13] Value pick #1: Over 2.5 goals. The model assigns a 69% probability to more than 2.5 goals, versus a market price of 3.05 at Unibet; the edge is 35.9 percentage points and confidence is rated high.[^fact-6] Value pick #2: Home Match Winner. The model’s internal match-winner probability for the home side is 83% against a market price of 2.04 at Betfair Exchange; the model-market gap is 33.6 percentage points and confidence is high.[^fact-7] Value pick #3: Both Teams to Score (Yes). The model gives an 89% probability that both teams will score, while the market price is 1.45 at Betfair Exchange; the edge is 20.1 percentage points with high confidence.[^fact-8] These three edges underline a consistent thematic read: the model expects an open game with a home tilt. The over-2.5 projection is supported by both teams’ recent goals-scored and goals-conceded numbers — the home side averaging 1.60 scored and 1.80 conceded, the visitors 1.90 scored and 2.10 conceded — which combine to imply a higher-than-market expectation for goals.[^fact-4][^fact-5][^fact-6][^fact-8] ## Verdict The model leans decisively to the home side, awarding 62% probability to the home result and an 83% internal home-match-winner probability on the deepest lines examined, while also flagging a strong chance for both teams to score and for the match to clear 2.5 goals; that combination reflects an expectation of an attack-minded contest where the hosts’ Elo edge of +186 points and recent personnel absences will shape but not neutralise scoring chances.[^fact-2][^fact-7][^fact-8][^fact-6][^fact-3][^fact-11][^fact-12] ### Cited facts [^fact-1]: **Kickoff** — Sun 10 May 2026, 15:30 UTC — Bundesliga [^fact-2]: **Model verdict** — Home 62% / Draw 8% / Away 30% (source: model; confidence high, 32 pp gap to runner-up). [^fact-3]: **Elo edge** — KOE vs HDH — Elo differential +186 points (with home advantage applied). [^fact-4]: **KOE recent form** — DLDWD last 10: 1-6-3 (W-D-L), 0.90 PPG, 1.60 goals scored / 1.80 conceded per match. [^fact-5]: **HDH recent form** — DWLWD last 10: 2-4-4 (W-D-L), 1.00 PPG, 1.90 goals scored / 2.10 conceded per match. [^fact-6]: **Value pick #1** — Over in Goals O/U 2.5 — model 69% vs market price 3.05 at Unibet, edge 35.9 pp (high confidence). [^fact-7]: **Value pick #2** — Home in Match Winner — model 83% vs market price 2.04 at Betfair Exchange, edge 33.6 pp (high confidence). [^fact-8]: **Value pick #3** — Yes in Both Teams to Score — model 89% vs market price 1.45 at Betfair Exchange, edge 20.1 pp (high confidence). [^fact-9]: **KOE in-form player** — Said El Mala — 2 goals, 1 assists in last 5 appearances, avg rating 6.98. [^fact-10]: **HDH in-form player** — Budu Zivzivadze — 5 goals, 0 assists in last 5 appearances, avg rating 7.16. [^fact-11]: **KOE key absence** — Eric Martel out (suspension), 757 minutes in recent run. [^fact-12]: **HDH key absence** — Benedikt Gimber out (injury), 413 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .