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Expected goals

Akhmat Grozny expected goals (xG) 2026/2027

Russian Premier League · after 1 match · updated 1 Oct

Akhmat Grozny's attacking and defensive expected goals in Russian Premier League 2026/2027, compared with the results they produced and with the rest of the competition.

Akhmat Grozny xG and xGA per match

Every match ↓
Attack
1.87 xG per match
Ranked from 3 matches
League avg
1.81
Total
1.87 1 match
Defence
1.44 xGA per match
Ranked from 3 matches
League avg
1.81
Total
1.44 1 match
xG difference
+0.43 xGD per match
Ranked from 3 matches
League avg
0.00
Total
+0.43 1 match
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.69 xPts per match
Ranked from 3 matches
League avg
1.39
Total
1.69 vs 10 actual pts

Early-season figures: after 1 match, per-match rates can move quickly.

Expected goals here are summed over 1 of 9 matches — the rest were played with no xG figure published for them, so the margins compare two different lengths of season.

What the xG says

Akhmat Grozny have created more than they have allowed so far, at +0.43 xG difference per match. After only 1 match, treat every figure here as provisional.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG
1 1.87 -0.87 Too early to read
Goals conceded vs xGA
1 1.44 -0.44 Too early to read

The running totals appear after the second match.

Goals vs xG ranking → Expected points ranking →

The trend appears after 3 matches with xG.

Strength of schedule

Season so far
tied number 11 hardest of 16 in Russian Premier League
−0.05 xG vs league average
8 of 9 league matches against a rated opponent
Last 5
number 11 hardest of 11 in Russian Premier League
−0.30 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.05 xG vs league average · 8 of 9 rated · tied number 11 hardest of 16

  1. Akron Togliatti Away −0.53
  2. Dinamo Makhachkala Home −0.16
  3. Rubin Kazan Away −0.31
  4. Krylya Sovetov Samara Home −0.46
  5. FC Rostov Home −0.06
  6. FK Krasnodar Away +0.56
  7. Fakel Voronezh Away not yet rated
  8. FC Spartak Moscow Home +0.47
  9. Lokomotiv Moscow Away +0.12

Last 5

−0.30 xG vs league average · over 5 matches · number 11 hardest of 11

  1. Akron Togliatti Away −0.53
  2. Dinamo Makhachkala Home −0.16
  3. Rubin Kazan Away −0.31
  4. Krylya Sovetov Samara Home −0.46
  5. FC Rostov Home −0.06

League schedule strength → How this is calculated →

Akhmat Grozny shots and chance quality

Attack

Shot volume
21.0 shots per match
Ranked from 3 matches
League avg
16.1
Total
21 shots from 1 match
Chance quality
0.09 npxG per shot
Ranked from 3 matches
League avg
0.11
Total
1.87 npxG from 21 shots

Defence

Shots allowed
16.0 shots per match
Ranked from 3 matches
League avg
16.1
Total
16 shots allowed from 1 match
Chance quality allowed
0.09 npxGA per shot
Ranked from 3 matches
League avg
0.11
Total
1.44 npxGA from 16 shots

Akhmat Grozny home and away xG

Akhmat Grozny per-match figures at home and away
Measure Home no matches with xG Away only 1 match with xG
Matches 4 0 with xG 5 1 with xG
xG / match — 1.87
xGA / match — 1.44
xGD / match — +0.43
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → — 1.69

Every figure divides by that half's matches with xG. A half with fewer than 3 matches with xG is muted.

Every Akhmat Grozny match by xG

Window
Season Last 10 Last 5
Venue

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.00. Best and weakest underlying mark the highest and lowest xGD once 5 matches have xG. Against the chances marks a win with xGD of −1.00 or lower, or a loss with +1.00 or higher. P marks a side with at least 0.50 xG from penalties.

Every result, all competitions →

Akhmat Grozny in Russian Premier League

About the data

xG data
Provided by TheStatsAPI, and stored as published.
Derived metrics
xGD, per-match rates, rankings and rolling averages are calculated from the match data.
Model metrics
xPts is produced by our probability model.

Learn how our xG analytics work →

How the model works →