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Shock result as FC OSS defy the odds to beat VVV Venlo 2-1.

📝 Match Report

How It Unfolded

FC OSS beat VVV Venlo 2-1 at Frans Heesen Stadion, Regular Season - 33, in the Eerste Divisie. 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 FC OSS 1.14 xG and VVV Venlo 1.55 xG, a combined 2.69. The scoreboard read 2-1 for 3 actual goals. FC OSS beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of FC OSS attack 0.59 / defence 1.24 against VVV Venlo attack 0.96 / defence 1.21, drawn from 70/70 games (CurrentSeason).

On the result, the model split it FC OSS 27% | Draw 26% | VVV Venlo 46%, with VVV Venlo to win its most likely call at 46%. The actual FC OSS win had been the model's second-ranked read at 27%, so the result diverged from the top call without being a shock.

Goals & Markets

The model rated Over 2.5 goals at 50%. The game delivered 3, so it went over — the model's lean was correct. Over 1.5 had been 76% 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 51% Over 2.5 across their same-competition games (FC OSS 44%, VVV Venlo 59%), a base rate that agreed with today's over. Their combined BTTS history runs at 48%, which did not match the both-scored outcome.

Trading Patterns vs Reality

FC OSS's trading profile (70 games, 35 home) set some clear expectations: BTTS lands in 43% of their matches — today it did.

VVV Venlo's trading profile (70 games, 35 away) set some clear expectations: BTTS lands in 53% of their matches — today it did.

Form vs Result

The form lines were close — FC OSS 0.91 PPG, VVV Venlo 1.17 PPG — offering no strong steer, and the FC OSS win broke the near-deadlock. FC OSS (home/away splits) scored 2 against a 0.97 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights