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Expected goals

Krylya Sovetov Samara expected goals (xG) 2026/2027

Russian Premier League · after 1 match · updated 1 Oct

Krylya Sovetov Samara'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.

Krylya Sovetov Samara xG and xGA per match

Every match ↓
Attack
2.62 xG per match
Ranked from 3 matches
League avg
1.81
Total
2.62 1 match
Defence
2.51 xGA per match
Ranked from 3 matches
League avg
1.81
Total
2.51 1 match
xG difference
+0.11 xGD per match
Ranked from 3 matches
League avg
0.00
Total
+0.11 1 match
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.46 xPts per match
Ranked from 3 matches
League avg
1.39
Total
1.46 vs 11 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

Krylya Sovetov Samara have created about as much as they have allowed so far, at +0.11 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
2 2.62 -0.62 Too early to read
Goals conceded vs xGA
1 2.51 -1.51 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
number 9 hardest of 16 in Russian Premier League
−0.02 xG vs league average
Over 9 league matches
Last 5
number 5 hardest of 11 in Russian Premier League
−0.03 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.02 xG vs league average · over 9 matches · number 9 hardest of 16

  1. Lokomotiv Moscow Away +0.12
  2. Rodina Moscow Home −0.19
  3. FK Krasnodar Home +0.56
  4. Akhmat Grozny Away −0.10
  5. Akron Togliatti Away −0.53
  6. Dinamo Makhachkala Home −0.16
  7. Baltika Kaliningrad Home +0.19
  8. CSKA Moscow Away −0.17
  9. Dynamo Moscow Away +0.13

Last 5

−0.03 xG vs league average · over 5 matches · number 5 hardest of 11

  1. Lokomotiv Moscow Away +0.12
  2. Rodina Moscow Home −0.19
  3. FK Krasnodar Home +0.56
  4. Akhmat Grozny Away −0.10
  5. Akron Togliatti Away −0.53

League schedule strength → How this is calculated →

Krylya Sovetov Samara shots and chance quality

Attack

Shot volume
19.0 shots per match
Ranked from 3 matches
League avg
16.1
Total
19 shots from 1 match
Chance quality
0.14 npxG per shot
Ranked from 3 matches
League avg
0.11
Total
2.62 npxG from 19 shots

Defence

Shots allowed
17.0 shots per match
Ranked from 3 matches
League avg
16.1
Total
17 shots allowed from 1 match
Chance quality allowed
0.15 npxGA per shot
Ranked from 3 matches
League avg
0.11
Total
2.51 npxGA from 17 shots

Krylya Sovetov Samara home and away xG

Krylya Sovetov Samara per-match figures at home and away
Measure Home only 1 match with xG Away no matches with xG
Matches 4 1 with xG 5 0 with xG
xG / match 2.62 —
xGA / match 2.51 —
xGD / match +0.11 —
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.46 —

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

Every Krylya Sovetov Samara 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 →

Krylya Sovetov Samara 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 →