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Prediction vindicated as Kolos Kovalivka edge out Kudrivka 1-0.

📝 Match Report

How It Unfolded

Kolos Kovalivka beat Kudrivka 1-0 at Kolos Stadium, Regular Season - 27, in the Premier League. 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 Kolos Kovalivka 1.15 xG and Kudrivka 0.58 xG, a combined 1.73. The scoreboard read 1-0 for 1 actual goal. 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 Kolos Kovalivka attack 0.83 / defence 0.68 against Kudrivka attack 0.68 / defence 1.08, drawn from 56/26 games (CurrentSeason).

On the result, the model split it Kolos Kovalivka 49% | Draw 32% | Kudrivka 18%, with Kolos Kovalivka to win its most likely call at 49%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 25%. The game delivered 1, so it stayed under — the model's lean was correct. Over 1.5 had been 52% and missed. On both teams to score, the model sat at 30% and the match did not — another call in the model's favour. Historically the two sides average 39% Over 2.5 across their same-competition games (Kolos Kovalivka 29%, Kudrivka 50%), a base rate that agreed with today's under. Their combined BTTS history runs at 52%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Kolos Kovalivka's trading profile (28 games, 14 home) set some clear expectations: BTTS lands in 43% of their matches — today it did not; they keep a clean sheet 39% of the time, and duly kept one.

Kudrivka's trading profile (28 games, 14 away) set some clear expectations: BTTS lands in 61% of their matches — today it did not; they fail to score in 29% of games, a blank that repeated today.

Form vs Result

On form, Kolos Kovalivka arrived the stronger side — 1.68 PPG against 0.89. The form guide was vindicated by the result.

Verdict

Grading the result against the stored data, 4 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (hit), form (hit). The data earned its keep here, calling the bulk of the fixture correctly.

💡 Key Insights