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Shock result as Hamburger SV defy the odds to beat 1. FC Heidenheim 2-1.

📝 Match Report

How It Unfolded

Hamburger SV beat 1. FC Heidenheim 2-1 at Volksparkstadion, Regular Season - 4, in the Bundesliga. That is the final score; the rest of this report grades it against what the data forecast beforehand.

The Model vs The Result

The Poisson model went into this projecting Hamburger SV 1.15 xG and 1. FC Heidenheim 1.57 xG, a combined 2.71. The scoreboard read 2-1 for 3 actual goals. Hamburger SV beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Hamburger SV attack 0.69 / defence 1.22 against 1. FC Heidenheim attack 0.83 / defence 0.96, drawn from 3/37 games (CurrentSeason).

On the result, the model split it Hamburger SV 28% | Draw 25% | 1. FC Heidenheim 47%, with 1. FC Heidenheim to win its most likely call at 47%. The actual Hamburger SV win had been the model's second-ranked read at 28%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 51%. The game delivered 3, so it went over — the model's lean was correct. Over 1.5 had been 75% and landed. On both teams to score, the model sat at 54% and the match saw both sides score — another call in the model's favour. Historically the two sides average 65% Over 2.5 across their same-competition games (Hamburger SV 73%, 1. FC Heidenheim 57%), a base rate that agreed with today's over. Their combined BTTS history runs at 53%, which matched the both-scored outcome.

Trading Patterns vs Reality

Hamburger SV's trading profile (37 games, 18 home) set some clear expectations: BTTS lands in 62% of their matches — today it did.

1. FC Heidenheim's trading profile (37 games, 18 away) set some clear expectations: BTTS lands in 43% of their matches — today it did.

Form vs Result

On form, Hamburger SV arrived the stronger side — 1.62 PPG against 0.73. The form guide was vindicated by the result.

Verdict

Grading the result against the stored data, 3 of 4 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit), form (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights