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Zenit cruise to a comfortable 0-2 victory over Fakel.

📝 Match Report

How It Unfolded

Zenit beat Fakel 0-2 at Stadion Fakel, Regular Season - 20, in the Premier League. The remainder of the report sets that outcome against the pre-match model, the markets and the teams' data profiles.

The Model vs The Result

The Poisson model went into this projecting Fakel 0.82 xG and Zenit 1.28 xG, a combined 2.10. The scoreboard read 0-2 for 2 actual goals. Fakel fell 0.8 short of their projected output. Those figures were built on strength ratings of Fakel attack 0.78 / defence 0.87 against Zenit attack 1.21 / defence 0.81, drawn from 49/49 games (CurrentSeason).

On the result, the model split it Fakel 20% | Draw 37% | Zenit 43%, with Zenit to win its most likely call at 43%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 35%. The game delivered 2, so it stayed under — in line with the projection. Over 1.5 had been 66% and landed. On both teams to score, the model sat at 44% 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 (Fakel 26%, Zenit 49%), a base rate that agreed with today's under. Their combined BTTS history runs at 42%, which matched the one-sided outcome.

Trading Patterns vs Reality

Fakel's trading profile (49 games, 24 home) set some clear expectations: BTTS lands in 37% of their matches — today it did not; they keep a clean sheet 37% of the time, and conceded here; they fail to score in 51% of games, a blank that repeated today.

Zenit's trading profile (49 games, 24 away) set some clear expectations: BTTS lands in 47% of their matches — today it did not; they keep a clean sheet 45% of the time, and duly kept one.

Form vs Result

On form, Zenit arrived the stronger side — 1.98 PPG against 0.94. Form held, and they took the win. Fakel (home/away splits) shipped 2 against a 0.67 concession average — a leakier day than usual.

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). A strong night for the model: the result sat comfortably inside what the pre-match data projected.

💡 Key Insights