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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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CSKA Moscow cruise to a comfortable 1-3 victory over FC Sochi.

📝 Match Report

How It Unfolded

CSKA Moscow beat FC Sochi 1-3 at Fisht Olympic Stadium, Regular Season - 9, 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 FC Sochi 0.72 xG and CSKA Moscow 1.59 xG, a combined 2.31. The scoreboard read 1-3 for 4 actual goals. CSKA Moscow outscored their 1.59 projection by 1.4. Those figures were built on strength ratings of FC Sochi attack 0.66 / defence 1.35 against CSKA Moscow attack 0.96 / defence 0.77, drawn from 8/38 games (CurrentSeason).

On the result, the model split it FC Sochi 14% | Draw 30% | CSKA Moscow 56%, with CSKA Moscow to win its most likely call at 56%. The scoreboard confirmed the model's leading pick.

Goals & Markets

The model rated Over 2.5 goals at 41%. The game delivered 4, so it went over — a miss for the goals model. Over 1.5 had been 70% and landed. Over 3.5 was 20% and came in. On both teams to score, the model sat at 43% and the match saw both sides score — a miss on BTTS. Historically the two sides average 60% Over 2.5 across their same-competition games (FC Sochi 70%, CSKA Moscow 50%), a base rate that agreed with today's over. Their combined BTTS history runs at 65%, which matched the both-scored outcome.

Trading Patterns vs Reality

FC Sochi's trading profile (10 games, 4 home) set some clear expectations: BTTS lands in 60% of their matches — today it did.

CSKA Moscow's trading profile (10 games, 4 away) set some clear expectations: BTTS lands in 70% of their matches — today it did.

Form vs Result

On form, CSKA Moscow arrived the stronger side — 1.90 PPG against 0.40. The form guide was vindicated by the result. CSKA Moscow (home/away splits) scored 3 against a 1.00 average — above their attacking norm.

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). A mixed scorecard — the data caught the broad shape of the game but not every market.

💡 Key Insights