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Krylia Sovetov cruise to a comfortable 2-0 victory over Lokomotiv.
📝 Match Report
How It Unfolded
Krylia Sovetov beat Lokomotiv 2-0 at Samara Arena, Regular Season - 27, in the Premier League. That is the final score; the rest of this report grades it against what the data forecast beforehand.
The Model vs The Result
The Poisson model went into this projecting Krylia Sovetov 1.46 xG and Lokomotiv 1.17 xG, a combined 2.62. The scoreboard read 2-0 for 2 actual goals. Lokomotiv landed 1.2 under their projected return. Those figures were built on strength ratings of Krylia Sovetov attack 0.98 / defence 0.99 against Lokomotiv attack 1.09 / defence 1.06, drawn from 56/56 games (CurrentSeason).
On the result, the model split it Krylia Sovetov 44% | Draw 26% | Lokomotiv 30%, with Krylia Sovetov to win its most likely call at 44%. The scoreboard confirmed the model's leading pick.
Goals & Markets
The model rated Over 2.5 goals at 49%. The game delivered 2, so it stayed under — the model's lean was correct. Over 1.5 had been 74% and landed. On both teams to score, the model sat at 53% and the match did not — a miss on BTTS. Historically the two sides average 52% Over 2.5 across their same-competition games (Krylia Sovetov 48%, Lokomotiv 55%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 60%, which did not match the one-sided outcome.
Trading Patterns vs Reality
Krylia Sovetov's trading profile (56 games, 27 home) set some clear expectations: BTTS lands in 54% of their matches — today it did not.
Lokomotiv's trading profile (56 games, 27 away) set some clear expectations: BTTS lands in 66% of their matches — today it did not.
Form vs Result
On form, Lokomotiv arrived the stronger side — 1.82 PPG against 0.96. Form was overturned, with Krylia Sovetov winning despite arriving in poorer recent shape. Krylia Sovetov (home/away splits) conceded 0 against a 1.41 average — tighter than their form line. Lokomotiv (home/away splits) managed 0 against a 1.74 scoring average — below par going forward.
Verdict
Grading the result against the stored data, 2 of 4 pre-match signals came in: result (hit), Over 2.5 (hit), BTTS (miss), form (miss). A mixed scorecard — the data caught the broad shape of the game but not every market.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.