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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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

📝 Match Report

How It Unfolded

Zenit beat Lokomotiv 2-0 at Gazprom Arena, Regular Season - 14, 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 Zenit 2.09 xG and Lokomotiv 1.45 xG, a combined 3.54. The scoreboard read 2-0 for 2 actual goals. Lokomotiv landed 1.5 under their projected return. Those figures were built on strength ratings of Zenit attack 1.45 / defence 0.92 against Lokomotiv attack 1.33 / defence 1.04, drawn from 43/43 games (CurrentSeason).

On the result, the model split it Zenit 51% | Draw 25% | Lokomotiv 25%, with Zenit to win its most likely call at 51%. The result followed the model's preferred path, landing its top-rated outcome.

Goals & Markets

The model rated Over 2.5 goals at 69%. The game delivered 2, so it stayed under — against the model's lean. Over 1.5 had been 89% and landed. Over 3.5 was 47% and did not. On both teams to score, the model sat at 69% and the match did not — a miss on BTTS. Historically the two sides average 54% Over 2.5 across their same-competition games (Zenit 51%, Lokomotiv 56%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 56%, which did not match the one-sided outcome.

Trading Patterns vs Reality

Zenit's trading profile (43 games, 21 home) set some clear expectations: BTTS lands in 44% of their matches — today it did not; they keep a clean sheet 51% of the time, and duly kept one.

Lokomotiv's trading profile (43 games, 21 away) set some clear expectations: BTTS lands in 67% of their matches — today it did not.

Form vs Result

The form lines were close — Zenit 2.14 PPG, Lokomotiv 1.86 PPG — offering no strong steer, and the Zenit win broke the near-deadlock. Lokomotiv (home/away splits) managed 0 against a 1.81 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). This one broke away from the data — most of the pre-match signals were overturned by how the ninety minutes actually played out.

💡 Key Insights