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Match report · Russian Premier League

Akhmat Grozny 4:1 FC Rostov

Akhmat Grozny Home
FC Rostov Away
41

Akhmat Grozny were the model's likeliest winner before kick-off at 44%. They won 4–1.

The model against the result

priced before kick-off
Akhmat Grozny
44% What happened
Draw
31%
FC Rostov
25%

Data coverage Both teams have the full 20-match model window available.

Recent form

Last 6 · xG per match
Akhmat Grozny

1.16 xG created 1.43 xGA

  • D 0.62 created, 2.25 conceded against Baltika Kaliningrad
  • L 0.60 created, 2.00 conceded against Zenit St. Petersburg
  • W 2.03 created, 1.07 conceded against Pari Nizhny Novgorod
  • D 0.97 created, 0.66 conceded against Dinamo Makhachkala
  • D 0.86 created, 1.15 conceded against FC Sochi
  • D 1.87 created, 1.44 conceded against Lokomotiv Moscow
FC Rostov

0.77 xG created 1.31 xGA

  • L 0.29 created, 0.76 conceded against FC Sochi
  • D 0.72 created, 0.85 conceded against CSKA Moscow
  • L 1.49 created, 1.37 conceded against Orenburg
  • W 0.32 created, 1.25 conceded against Dinamo Makhachkala
  • W 1.29 created, 1.76 conceded against Akron Togliatti
  • L 0.51 created, 1.88 conceded against Zenit St. Petersburg

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Akhmat Grozny: 1 won · 1 drawn · 0 lost

Pre-match model & market record

2 opportunities flagged2 won0 lost

  • Won
  • Won
View pre-match record
The outcomes the model flagged on Akhmat Grozny against FC Rostov before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Akhmat Grozny to win 2.42 +6.1% Won
Over 2.5 goals 2.24 +2.9% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Akhmat Grozny 43.9% 39.2% +4.6 pp 2.28
Draw 31.2% 30.6% +0.5 pp 3.21
FC Rostov 25.0% 30.1% −5.2 pp 4.00

Other markets

Outcome Model Market Difference Fair odds
Over 2.5 goals 45.9% 42.4% +3.5 pp 2.18
Under 2.5 goals 54.1% 57.6% −3.5 pp 1.85

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Akhmat Grozny sample
20 matches
FC Rostov sample
20 matches
Computed
8 hours before kick-off
Prices taken
1 day before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.