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Prediction vindicated as Polessya edge out Oleksandria 2-1.

📝 Match Report

How It Unfolded

Polessya beat Oleksandria 2-1 at Tsentralnyi Stadion, Regular Season - 27, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Polessya 1.69 xG and Oleksandria 0.88 xG, a combined 2.57. The scoreboard read 2-1 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 Polessya attack 1.09 / defence 0.84 against Oleksandria attack 0.84 / defence 1.22, drawn from 56/55 games (CurrentSeason).

On the result, the model split it Polessya 56% | Draw 24% | Oleksandria 19%, with Polessya to win its most likely call at 56%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 47%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 73% and landed. On both teams to score, the model sat at 48% and the match saw both sides score — a miss on BTTS. Historically the two sides average 41% Over 2.5 across their same-competition games (Polessya 36%, Oleksandria 46%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 44%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Polessya's trading profile (55 games, 28 home) set some clear expectations: BTTS lands in 46% of their matches — today it did; they keep a clean sheet 44% of the time, and conceded here.

Oleksandria's trading profile (55 games, 28 away) set some clear expectations: BTTS lands in 42% of their matches — today it did.

Form vs Result

The form lines were close — Polessya 1.76 PPG, Oleksandria 1.45 PPG — offering no strong steer, and the Polessya 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). The data was on the wrong side of this result more often than not — a reminder that a single match sits well inside the model's variance.

💡 Key Insights