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Prediction vindicated as VPS edge out Haka 1-0.

📝 Match Report

How It Unfolded

VPS beat Haka 1-0 at Lemonsoft Stadion, Relegation Round - 3, in the Veikkausliiga. 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 VPS 1.47 xG and Haka 1.31 xG, a combined 2.77. The scoreboard read 1-0 for 1 actual goal. Haka landed 1.3 under their projected return. Those figures were built on strength ratings of VPS attack 0.77 / defence 0.94 against Haka attack 0.85 / defence 1.14, drawn from 44/44 games (CurrentSeason).

On the result, the model split it VPS 40% | Draw 27% | Haka 33%, with VPS to win its most likely call at 40%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 52%. The game delivered 1, so it stayed under — the opposite of the projected direction. Over 1.5 had been 78% and missed. On both teams to score, the model sat at 57% and the match did not — a miss on BTTS. Historically the two sides average 65% Over 2.5 across their same-competition games (VPS 67%, Haka 64%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 69%, which did not match the one-sided outcome.

Trading Patterns vs Reality

VPS's trading profile (52 games, 26 home) set some clear expectations: BTTS lands in 75% of their matches — today it did not.

Haka's trading profile (52 games, 26 away) set some clear expectations: BTTS lands in 64% of their matches — today it did not.

Form vs Result

The form lines were close — VPS 1.29 PPG, Haka 1.08 PPG — offering no strong steer, and the VPS win broke the near-deadlock. VPS (home/away splits) conceded 0 against a 1.46 average — tighter than their form line. Haka (home/away splits) managed 0 against a 1.31 scoring average — below par going forward.

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