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Prediction vindicated as Dynamo Kyiv edge out LNZ Cherkasy 1-2.

📝 Match Report

How It Unfolded

Dynamo Kyiv beat LNZ Cherkasy 1-2 at Cherkasy Arena, Regular Season - 20, 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 LNZ Cherkasy 1.02 xG and Dynamo Kyiv 1.23 xG, a combined 2.25. The scoreboard read 1-2 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 LNZ Cherkasy attack 0.96 / defence 1.07 against Dynamo Kyiv attack 1.28 / defence 0.88, drawn from 49/49 games (CurrentSeason).

On the result, the model split it LNZ Cherkasy 30% | Draw 29% | Dynamo Kyiv 41%, with Dynamo Kyiv to win its most likely call at 41%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 39%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 66% and landed. On both teams to score, the model sat at 45% and the match saw both sides score — a miss on BTTS. Historically the two sides average 49% Over 2.5 across their same-competition games (LNZ Cherkasy 43%, Dynamo Kyiv 55%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 52%, which matched the both-scored outcome.

Trading Patterns vs Reality

LNZ Cherkasy's trading profile (49 games, 23 home) set some clear expectations: BTTS lands in 49% of their matches — today it did.

Dynamo Kyiv's trading profile (49 games, 23 away) set some clear expectations: BTTS lands in 55% of their matches — today it did; they keep a clean sheet 39% of the time, and conceded here.

Form vs Result

On form, Dynamo Kyiv arrived the stronger side — 2.37 PPG against 1.29. That form edge translated into the three points.

Verdict

Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (hit). The model got the gist right while missing on the margins.

💡 Key Insights