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

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Prediction vindicated as Sigma Olomouc edge out Zlin 1-0.

📝 Match Report

How It Unfolded

Sigma Olomouc beat Zlin 1-0 at Andruv stadion, Regular Season - 5, in the Czech Liga. 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 Sigma Olomouc 1.17 xG and Zlin 1.16 xG, a combined 2.33. The scoreboard read 1-0 for 1 actual goal. Zlin landed 1.2 under their projected return. Those figures were built on strength ratings of Sigma Olomouc attack 0.97 / defence 0.88 against Zlin attack 1.07 / defence 0.90, drawn from 34/4 games (CurrentSeason).

On the result, the model split it Sigma Olomouc 36% | Draw 30% | Zlin 35%, with Sigma Olomouc to win its most likely call at 36%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 68% and missed. On both teams to score, the model sat at 48% and the match did not — another call in the model's favour. Historically the two sides average 38% Over 2.5 across their same-competition games (Sigma Olomouc 25%, Zlin 50%), a base rate that agreed with today's under. Their combined BTTS history runs at 50%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Sigma Olomouc's trading profile (4 games) set some clear expectations: BTTS lands in 25% of their matches — today it did not; they keep a clean sheet 50% of the time, and duly kept one.

Zlin's trading profile (4 games) set some clear expectations: BTTS lands in 75% of their matches — today it did not.

Form vs Result

On form, Zlin arrived the stronger side — 2.50 PPG against 1.75. Form was overturned, with Sigma Olomouc winning despite arriving in poorer recent shape. Zlin managed 0 against a 2.00 scoring average — below par going forward.

Verdict

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

💡 Key Insights