🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson model rates 1. FC Köln at 42%, yet other data sources diverge — this 1. FC Köln vs Werder Bremen fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Werder Bremen make the trip to RheinEnergieStadion to face 1. FC Köln in Bundesliga, Regular Season - 3. The match kicks off on Saturday 12 September 2026 at 14:30 UTC.

Current Form

1. FC Köln's overall Bundesliga record this term: 1W 5D 4L from 10 games (0.80 PPG). Last five: D L D L L. Offensively they are averaging 1.60 goals per game, with 2.20 conceded. However, 2.20 goals conceded per game is a concern — opposing attacks have exploited them regularly. Both teams have scored in 100% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. 1. FC Köln haven't played a Bundesliga game yet this season, so this record is entirely from last season.

1. FC Köln's home record at RheinEnergieStadion: 3W 2D 5L from 10 Bundesliga appearances (1.10 PPG). At home they are averaging 1.60 goals scored and 1.90 conceded per game. Both teams have scored in 90% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Werder Bremen (all games): 3W 1D 6L across 10 Bundesliga outings this term — 1.00 points per game. Last five: W D L L L. Their scoring rate of 1.20 per game is modest, conceding 1.60 — not a side to back heavily on the Over 2.5 from their form alone. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Werder Bremen haven't played a Bundesliga game yet this season, so this record is entirely from last season.

When travelling in Bundesliga this season, Werder Bremen have posted 2W 2D 6L from 10 away outings — 0.80 PPG. Away from home they average 0.80 goals scored and 1.30 conceded per game.

Both sides are running at similar form levels — 0.80 PPG for 1. FC Köln against 1.00 for Werder Bremen. There is no clear form edge to exploit here; other signals need to take the lead.

H2H Analysis

The head-to-head record is closely matched — 1. FC Köln lead 2W to 2W over the last 8 encounters, with 4 draws, though neither side has established a commanding advantage.

Attacking output has been a hallmark of this fixture. At 3.0 goals per game across 8 meetings, the Over 2.5 has a statistically grounded case from the head-to-head record alone. The most recent clash, on 12 Apr 2026, ended 3–1 with 1. FC Köln winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading & In-Play

1. FC Köln — key trading statistics (34 games, 17 at home): they score before half-time in 82% of fixtures in home games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 67% of those occasions; BTTS occurs in 88% of their matches (home games); Over 2.5 goals lands in 76% of games (home games); Over 3.5 in 47%.

Werder Bremen — key trading statistics (34 games, 17 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 89% of the time; two or more arrive in the second half on 67% of those occasions; BTTS occurs in 47% of their matches (away games); Over 2.5 goals lands in 53% of games (away games); Over 3.5 in 35%; they fail to score in 38% of games.

From a combined perspective, both sides have high BTTS rates — 1. FC Köln 79% and Werder Bremen 47% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (1. FC Köln 65% | Werder Bremen 53%).

Poisson Model

The Poisson distribution model projects 1. FC Köln 1.63 xG and Werder Bremen 1.44 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: 1. FC Köln attack 0.969 / defence 1.120 | Werder Bremen attack 0.878 / defence 0.921. League average goals — home 1.822 / away 1.468. Data: 34 1. FC Köln games / 34 Werder Bremen games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: 1. FC Köln 42% | Draw 24% | Werder Bremen 34%. Fair-value odds: 1. FC Köln 2.38 | Draw 4.17 | Werder Bremen 2.94. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 59% | BTTS probability 62% | Total xG 3.07. Over 2.5 holds a meaningful probability edge at 59% — the 3.07 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 62% reflects that both xG figures (1.63 / 1.44) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Picks & Verdict

On the Poisson output, 1. FC Köln are the pick at 42% — marginal model lean. Draw probability of 24% warrants consideration of Double Chance or Draw No Bet on 1. FC Köln if the outright odds are short. The opposing side holds a 34% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 3.07 xG in total — Over 2.5 at 59% — strong confidence, supported by form averaging 2.8 goals per game and H2H averaging 3.0 goals per meeting.

Poisson assigns a 62% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: 1. FC Köln 90% | Werder Bremen 40% BTTS from recent games.

The outsider holds a 34% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects. The Poisson model is drawing on PrevSeason data (34 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights