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Prediction vindicated as RB Leipzig edge out Werder Bremen 1-2.

📝 Match Report

How It Unfolded

RB Leipzig beat Werder Bremen 1-2 at Weserstadion, Regular Season - 28, in the Bundesliga. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Werder Bremen 0.95 xG and RB Leipzig 1.56 xG, a combined 2.52. The scoreboard read 1-2 for 3 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Werder Bremen attack 0.69 / defence 1.13 against RB Leipzig attack 0.99 / defence 0.81, drawn from 61/61 games (CurrentSeason).

On the result, the model split it Werder Bremen 23% | Draw 26% | RB Leipzig 51%, with RB Leipzig to win its most likely call at 51%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 46%. The game delivered 3, so it went over — against the model's lean. Over 1.5 had been 72% and landed. On both teams to score, the model sat at 49% and the match saw both sides score — a miss on BTTS. Historically the two sides average 60% Over 2.5 across their same-competition games (Werder Bremen 59%, RB Leipzig 61%), a base rate that agreed with today's over. Their combined BTTS history runs at 51%, which matched the both-scored outcome.

Trading Patterns vs Reality

Werder Bremen's trading profile (61 games, 30 home) set some clear expectations: BTTS lands in 48% of their matches — today it did.

RB Leipzig's trading profile (61 games, 30 away) set some clear expectations: BTTS lands in 54% of their matches — today it did; they keep a clean sheet 39% of the time, and conceded here.

Form vs Result

The form lines were close — Werder Bremen 1.30 PPG, RB Leipzig 1.66 PPG — offering no strong steer, and the RB Leipzig win broke the near-deadlock.

Verdict

Grading the result against the stored data, 1 of 3 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights