Union Berlin 2-2 1. FC Köln – Result & Analysis

Poisson rates Union Berlin at 42% — the head-to-head data provides partial corroboration, though signals are mixed in this Union Berlin vs 1. FC Köln encounter.

✍️ Match Preview

Pre-Match Analysis

Union Berlin and 1. FC Köln meet at Stadion An der Alten Försterei in Bundesliga (matchday 32). This fixture gets under way on Saturday 2 May 2026 at 15:30 UK time.

Form & Momentum

Union Berlin have collected 0.70 PPG across their last 10 games: 2W 1D 7L. Last five: L D L L L. They are averaging 0.90 goals per game and conceding 2.10 — a modest attacking output that tempers optimism on the Over 2.5 market. However, 2.10 goals conceded per game is a concern — opposing attacks have exploited them regularly. 2 clean sheets from 10 outings (20%). Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Union Berlin's home record over their last 10 home games: 2W 4D 4L (1.00 PPG). At home they are averaging 1.30 goals scored and 1.80 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

1. FC Köln's record over their last 10 games: 1W 5D 4L (0.80 PPG). Last five: D D W D L. They are scoring at 1.50 per game and conceding 1.90. Both teams have scored in 90% of their matches — a high rate that makes Yes a well-evidenced angle from their form.

1. FC Köln's away record over their last 10 away games: 0W 5D 5L (0.50 PPG). Away from home they average 1.00 goals scored and 1.90 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

A near-identical PPG reading — 0.70 for Union Berlin, 0.80 for 1. FC Köln — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

The BTTS picture is exceptionally clear (from Union Berlin's last 10 home games and 1. FC Köln's last 10 away games) — both teams have scored in 80% of Union Berlin's games and 80% of 1. FC Köln's. Both sides above 70% makes BTTS Yes one of the strongest standalone angles in this fixture.

H2H History

The head-to-head record in our data favours Union Berlin, who have won 5 of the 8 H2H matches we hold against 1. FC Köln — 1. FC Köln have 1 win, with 2 draws.

The 8 H2H matches in our data averaged 2.1 goals per game — a neutral rate that gives no strong lean on the goals market from the H2H alone. The most recent of those, on 20 Dec 2025, ended Union Berlin 1–0 1. FC Köln — a Union Berlin win.

The head-to-head data gives Union Berlin an edge — 5 wins from 8 H2H matches is worth weighing, particularly if the form picture is inconclusive.

Trading & In-Play

Union Berlin — key trading statistics (last 65 games, 32 of them at home): at least one goal arrives before half-time in 75% of their matches in home games; when goalless at HT, a second-half goal follows 67% of the time; of the 28 games they trailed at half-time, they recovered to draw or win 25%; BTTS occurs in 66% of their matches (home games); Over 2.5 goals lands in 56% of games (home games); they fail to score in 32% of games.

1. FC Köln — key trading statistics (last 65 games, 32 of them away): at least one goal arrives before half-time in 59% of their matches in away games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 52% of those occasions; of the 14 games they trailed at half-time, they recovered to draw or win 29%; BTTS occurs in 56% of their matches (away games); Over 2.5 goals lands in 47% of games (away games); Over 3.5 in 35%.

From a combined perspective, both sides have high BTTS rates — Union Berlin 55% and 1. FC Köln 65% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Union Berlin 54% | 1. FC Köln 57%).

Poisson Model

The Poisson distribution model projects Union Berlin 1.51 xG and 1. FC Köln 1.27 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Union Berlin attack 0.783 / defence 1.134 | 1. FC Köln attack 0.774 / defence 1.129. League average goals — home 1.703 / away 1.443. Union Berlin's attack rating of 0.783 is below the league average, which holds their xG down at 1.51. 1. FC Köln's attack rating of 0.774 is below the league average, which holds their xG down at 1.27. Data: built from Union Berlin's last 65 games and 1. FC Köln's last 31.

Result probabilities: Union Berlin 42% | Draw 26% | 1. FC Köln 31%. Fair-value odds: Union Berlin 2.37 | Draw 3.79 | 1. FC Köln 3.19. This is a low-confidence result — no outcome reaches 45%. The draw at 26% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 52% | BTTS Yes probability 56% | Total xG 2.77. Over/Under 2.5 is close to a coin-flip at 52%/48% — the total xG of 2.77 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS Yes at 56% is only a slight lean — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Union Berlin at 42% — marginal model lean. The head-to-head data (Union Berlin 5 wins from 8 H2H matches) corroborates the Poisson lean — partial multi-source support. Draw probability of 26% warrants consideration of Double Chance or Draw No Bet on Union Berlin if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.77 total expected goals, pointing to Over 2.5 at 52% probability — reasonable conviction, supported by recent form (Union Berlin's last 10 home games and 1. FC Köln's last 10 away games) averaging 3.0 goals per game.

On the BTTS market, Poisson puts 56% on Yes. Form rates corroborate — both teams scored in: Union Berlin 80% (last 10 home games) | 1. FC Köln 80% (last 10 away games).

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