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Prediction vindicated as Dinamo Makhachkala edge out Rubin 2-1.

📝 Match Report

How It Unfolded

Dinamo Makhachkala beat Rubin 2-1 at Anzhi Arena, Regular Season - 19, in the Premier League. 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 Dinamo Makhachkala 1.07 xG and Rubin 0.78 xG, a combined 1.85. The scoreboard read 2-1 for 3 actual goals. Dinamo Makhachkala beat their projection by 0.9 — clinical relative to the chances the model priced in. Those figures were built on strength ratings of Dinamo Makhachkala attack 0.77 / defence 0.93 against Rubin attack 0.85 / defence 1.00, drawn from 48/48 games (CurrentSeason).

On the result, the model split it Dinamo Makhachkala 41% | Draw 32% | Rubin 26%, with Dinamo Makhachkala to win its most likely call at 41%. That is exactly how it finished — the model's leading outcome was vindicated.

Goals & Markets

The model rated Over 2.5 goals at 28%. The game delivered 3, so it went over — the opposite of the projected direction. Over 1.5 had been 56% and landed. On both teams to score, the model sat at 36% and the match saw both sides score — a miss on BTTS. Historically the two sides average 35% Over 2.5 across their same-competition games (Dinamo Makhachkala 23%, Rubin 48%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 42%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Dinamo Makhachkala's trading profile (48 games, 24 home) set some clear expectations: BTTS lands in 38% of their matches — today it did.

Rubin's trading profile (48 games, 24 away) set some clear expectations: BTTS lands in 46% of their matches — today it did.

Form vs Result

On form, Rubin arrived the stronger side — 1.42 PPG against 0.92. Form was overturned, with Dinamo Makhachkala winning despite arriving in poorer recent shape. Dinamo Makhachkala (home/away splits) scored 2 against a 1.04 average — above their attacking norm.

Verdict

Grading the result against the stored data, 1 of 4 pre-match signals came in: result (hit), Over 2.5 (miss), BTTS (miss), form (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