xgEdge

Expected goals

Motor Lublin expected goals (xG) 2026/2027

Ekstraklasa · after 9 matches · updated 1 Oct

Motor Lublin's attacking and defensive expected goals in Ekstraklasa 2026/2027, compared with the results they produced and with the rest of the competition.

Motor Lublin xG and xGA per match

Every match ↓
Attack
1.39 xG per match
#16/18
Attack (xG per match) across Ekstraklasa, best first
Rank Club xG per match
#1 Lech Poznań 2.07
#2 Wisła Kraków 1.99
#3 GKS Katowice 1.77
#4 Legia Warszawa 1.71
#5 Górnik Zabrze 1.58
#6 Widzew Łódź 1.57
#7 Wieczysta Kraków 1.57
#8 Cracovia 1.53
#9 Wisła Płock 1.52
#10 Jagiellonia Białystok 1.50
#11 Pogoń Szczecin 1.48
#12 Raków Częstochowa 1.42
#13 Radomiak Radom 1.41
#14 MKS Korona Kielce 1.40
#15 Śląsk Wrocław 1.40
#16 Motor Lublin 1.39
#17 Zagłębie Lubin 1.35
#18 Piast Gliwice 1.22
League avg
1.54
Total
12.48 9 matches
Defence
1.53 xGA per match
#10/18
Defence (xGA per match) across Ekstraklasa, best first
Rank Club xGA per match
#1 Lech Poznań 0.89
#2 Górnik Zabrze 1.05
#3 Wisła Kraków 1.10
#4 Zagłębie Lubin 1.22
#5 Legia Warszawa 1.27
#6 Pogoń Szczecin 1.38
#7 Cracovia 1.43
#8 MKS Korona Kielce 1.48
#9 Jagiellonia Białystok 1.52
#10 Motor Lublin 1.53
#11 Wieczysta Kraków 1.60
#12 Wisła Płock 1.63
#13 Widzew Łódź 1.67
#14 Śląsk Wrocław 1.73
#15 Piast Gliwice 1.87
#16 GKS Katowice 2.00
#17 Radomiak Radom 2.05
#18 Raków Częstochowa 2.36
League avg
1.54
Total
13.76 9 matches
xG difference
-0.14 xGD per match
#13/18
xG difference (xGD per match) across Ekstraklasa, best first
Rank Club xGD per match
#1 Lech Poznań +1.18
#2 Wisła Kraków +0.89
#3 Górnik Zabrze +0.53
#4 Legia Warszawa +0.43
#5 Zagłębie Lubin +0.13
#6 Cracovia +0.10
#7 Pogoń Szczecin +0.10
#8 Jagiellonia Białystok -0.03
#9 Wieczysta Kraków -0.04
#10 MKS Korona Kielce -0.07
#11 Widzew Łódź -0.10
#12 Wisła Płock -0.11
#13 Motor Lublin -0.14
#14 GKS Katowice -0.23
#15 Śląsk Wrocław -0.34
#16 Radomiak Radom -0.64
#17 Piast Gliwice -0.65
#18 Raków Częstochowa -0.94
League avg
0.00
Total
-1.28 9 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
1.26 xPts per match
#13/18
Expected points (xPts per match) across Ekstraklasa, best first
Rank Club xPts per match
#1 Lech Poznań 2.07
#2 Wisła Kraków 1.97
#3 Górnik Zabrze 1.79
#4 Legia Warszawa 1.66
#5 Pogoń Szczecin 1.48
#6 Zagłębie Lubin 1.47
#7 Cracovia 1.42
#8 Wieczysta Kraków 1.33
#9 GKS Katowice 1.30
#10 Wisła Płock 1.30
#11 Widzew Łódź 1.29
#12 MKS Korona Kielce 1.27
#13 Motor Lublin 1.26
#14 Jagiellonia Białystok 1.23
#15 Śląsk Wrocław 1.20
#16 Radomiak Radom 0.99
#17 Piast Gliwice 0.96
#18 Raków Częstochowa 0.93
League avg
1.38
Total
11.30 vs 6 actual pts

Early-season figures: after 9 matches, per-match rates can move quickly.

What the xG says

Motor Lublin's underlying numbers are among the weakest in Ekstraklasa. They rank #13 for xG difference at -0.14 per match, from about average shot volume at about average chance quality. Their 9 goals are 3.48 below 12.48 xG, while 6 points are 5.30 below 11.30 xPts. After only 9 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG
9 12.48 -3.48 scored 3.48 fewer than xG within normal variance
Goals conceded vs xGA
15 13.76 +1.24 conceded 1.24 more than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
6 11.30 -5.30 5.30 points below xPts outside normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Motor Lublin are 3.48 goals below their xG after 9 matches.

Goals
9
xG
12.48
Gap
-3.48
Sun 26/07 Fri 31/07 Sat 08/08 Sun 16/08 Sat 22/08 Sat 29/08 Sat 05/09 Fri 11/09 Sat 19/09 -4 -3 -2 -1 0 +1 +0.85 -0.16 -0.08 -2.00 -1.68 -2.69 -2.17 -2.96 -3.48 +0.85 -1.01 +0.08 -1.92 +0.32 -1.01 +0.52 -0.79 -0.52 Running gap goals − xG Each match goals − xG
Motor Lublin: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sun 26/07 Widzew Łódź 2 1.15 +0.85 +0.85
Fri 31/07 Jagiellonia Białystok 1 2.01 -1.01 -0.16
Sat 08/08 Pogoń Szczecin 1 0.92 +0.08 -0.08
Sun 16/08 GKS Katowice 1 2.92 -1.92 -2.00
Sat 22/08 MKS Korona Kielce 1 0.68 +0.32 -1.68
Sat 29/08 Piast Gliwice 0 1.01 -1.01 -2.69
Sat 05/09 Legia Warszawa 2 1.48 +0.52 -2.17
Fri 11/09 Raków Częstochowa 1 1.79 -0.79 -2.96
Sat 19/09 Górnik Zabrze 0 0.52 -0.52 -3.48

Goals vs xG ranking → Expected points ranking → Compare with every club in Europe →

Motor Lublin xG trend

Current form +0.14 npxGD per match

The last 6 matches with xG.

Out-created the opponent in 3 of 9 matches. The worst was against Pogoń Szczecin on Sat 08/08 (-1.56).

npxG · last 6
1.42
npxGA · last 6
1.28
-2 -1 0 +1 +2 -0.45 Sun 26/07 +1.13 Fri 31/07 -1.56 Sat 08/08 +1.85 Sun 16/08 -0.20 Sat 22/08 -0.72 Sat 29/08 -0.19 Sat 05/09 +0.77 Fri 11/09 -0.68 Sat 19/09 -0.01 season avg
Motor Lublin: non-penalty xG, xGA and their difference in each match, with the season's average so far
Date Opponent npxG npxGA npxGD Avg so far
Sun 26/07 Widzew Łódź 1.25 1.70 -0.45 -0.45
Fri 31/07 Jagiellonia Białystok 2.02 0.89 +1.13 +0.34
Sat 08/08 Pogoń Szczecin 0.92 2.48 -1.56 -0.29
Sun 16/08 GKS Katowice 2.95 1.10 +1.85 +0.24
Sat 22/08 MKS Korona Kielce 0.68 0.88 -0.20 +0.15
Sat 29/08 Piast Gliwice 1.03 1.75 -0.72 +0.01
Sat 05/09 Legia Warszawa 1.53 1.72 -0.19 -0.02
Fri 11/09 Raków Częstochowa 1.79 1.02 +0.77 +0.08
Sat 19/09 Górnik Zabrze 0.52 1.20 -0.68 -0.01

Each bar is one match's non-penalty xG minus the non-penalty xG against; the line is that difference averaged over the season up to each match, and it finishes on the dashed season average — 1.41 npxG and 1.42 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
tied number 14 hardest of 18 in Ekstraklasa
−0.04 xG vs league average
Over 9 league matches
Last 5
number 12 hardest of 18 in Ekstraklasa
−0.01 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.04 xG vs league average · over 9 matches · tied number 14 hardest of 18

  1. Górnik Zabrze Home +0.27
  2. Raków Częstochowa Away −0.23
  3. Legia Warszawa Home +0.14
  4. Piast Gliwice Home −0.09
  5. MKS Korona Kielce Away −0.13
  6. GKS Katowice Home −0.04
  7. Pogoń Szczecin Away −0.10
  8. Jagiellonia Białystok Home −0.10
  9. Widzew Łódź Away −0.10

Last 5

−0.01 xG vs league average · over 5 matches · number 12 hardest of 18

  1. Górnik Zabrze Home +0.27
  2. Raków Częstochowa Away −0.23
  3. Legia Warszawa Home +0.14
  4. Piast Gliwice Home −0.09
  5. MKS Korona Kielce Away −0.13

League schedule strength → How this is calculated →

Motor Lublin shots and chance quality

Average volume, average quality. Motor Lublin take 14.7 shots a match (league 14.9) at 0.10 npxG a shot (league 0.10), =9 in Ekstraklasa for volume and #11 for quality. 63% of their shots come from inside the box (league 64%), and set pieces produce 16% of their npxG (league 27%).

Attack

Shot volume
14.7 shots per match
=9/18
Shot volume (shots per match) across Ekstraklasa, best first
Rank Club shots per match
#1 Wisła Kraków 19.1
#2 Lech Poznań 18.9
#3 GKS Katowice 16.8
#4 Legia Warszawa 15.4
#5 Widzew Łódź 15.3
=6 Cracovia 15.1
=6 Raków Częstochowa 15.1
#8 Wisła Płock 14.9
=9 Motor Lublin 14.7
=9 Radomiak Radom 14.7
#11 Wieczysta Kraków 14.5
#12 Piast Gliwice 14.0
#13 MKS Korona Kielce 13.7
#14 Pogoń Szczecin 13.5
#15 Górnik Zabrze 13.4
#16 Jagiellonia Białystok 13.4
#17 Zagłębie Lubin 13.3
#18 Śląsk Wrocław 12.0
League avg
14.9
Total
132 shots from 9 matches
Chance quality
0.10 npxG per shot
#11/18
Chance quality (npxG per shot) across Ekstraklasa, best first
Rank Club npxG per shot
#1 Lech Poznań 0.11
#2 Pogoń Szczecin 0.11
#3 Wisła Płock 0.11
#4 Śląsk Wrocław 0.10
#5 Legia Warszawa 0.10
#6 Wieczysta Kraków 0.10
#7 Zagłębie Lubin 0.10
#8 Górnik Zabrze 0.10
#9 Widzew Łódź 0.10
#10 Cracovia 0.10
#11 Motor Lublin 0.10
#12 Wisła Kraków 0.10
#13 GKS Katowice 0.09
#14 MKS Korona Kielce 0.09
#15 Jagiellonia Białystok 0.09
#16 Radomiak Radom 0.08
#17 Raków Częstochowa 0.08
#18 Piast Gliwice 0.08
League avg
0.10
Total
12.69 npxG from 132 shots

Defence

Shots allowed
13.9 shots per match
#5/18
Shots allowed (shots per match) across Ekstraklasa, best first
Rank Club shots per match
#1 Lech Poznań 11.1
#2 Górnik Zabrze 11.4
#3 Wisła Kraków 12.0
#4 Legia Warszawa 12.7
#5 Motor Lublin 13.9
#6 MKS Korona Kielce 14.0
#7 Wisła Płock 14.4
#8 Widzew Łódź 14.9
#9 Cracovia 15.1
#10 Raków Częstochowa 15.3
#11 Zagłębie Lubin 15.8
=12 Jagiellonia Białystok 16.1
=12 Pogoń Szczecin 16.1
#14 Śląsk Wrocław 16.2
#15 GKS Katowice 16.9
#16 Wieczysta Kraków 17.0
#17 Piast Gliwice 17.2
#18 Radomiak Radom 17.6
League avg
14.9
Total
125 shots allowed from 9 matches
Chance quality allowed
0.10 npxGA per shot
#11/18
Chance quality allowed (npxGA per shot) across Ekstraklasa, best first
Rank Club npxGA per shot
#1 Zagłębie Lubin 0.06
#2 Cracovia 0.07
#3 Lech Poznań 0.08
#4 Jagiellonia Białystok 0.08
#5 Górnik Zabrze 0.08
#6 Wisła Kraków 0.09
#7 Pogoń Szczecin 0.09
#8 Legia Warszawa 0.09
#9 Wieczysta Kraków 0.10
#10 Wisła Płock 0.10
#11 Motor Lublin 0.10
#12 Piast Gliwice 0.10
#13 MKS Korona Kielce 0.10
#14 GKS Katowice 0.11
#15 Radomiak Radom 0.11
#16 Śląsk Wrocław 0.11
#17 Widzew Łódź 0.12
#18 Raków Częstochowa 0.14
League avg
0.10
Total
12.74 npxGA from 125 shots

Shot profile

Shot location

63% inside the box

League avg 64%

From 83 of 132 shots over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Shots allowed, location

63% allowed inside the box

League avg 64%

From 79 of 125 shots allowed over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Where the npxG comes from

84% open play · 16% set pieces

League avg 27% set pieces

From 2.0 of 12.5 npxG over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

Where the npxG allowed comes from

57% open play · 43% set pieces

League avg 27% set pieces

From 5.5 of 12.8 npxG allowed over 9 matches

Early-season figure: after 9 matches, the share can move quickly.

How the shot figures are made →

Motor Lublin home and away xG

Motor Lublin per-match figures at home and away
Measure Home Away
Matches 5 4
xG / match 1.59 1.14
xGA / match 1.40 1.69
xGD / match +0.18 -0.55
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.44 1.02

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

Every Motor Lublin match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

This season

Matches
9
xG / match
1.39
xGA / match
1.53
xGD / match
-0.14
Points
6 of 27
  1. Sat 19/09 Górnik Zabrze H xG 0.52 xGA 1.20 xGD -0.68
  2. Fri 11/09 Raków Częstochowa A xG 1.79 xGA 1.02 xGD +0.77
  3. Sat 05/09 Legia Warszawa H xG 1.48 xGA 2.26 P xGD -0.78
  4. Sat 29/08 Piast Gliwice H xG 1.01 xGA 1.57 xGD -0.56
  5. Sat 22/08 MKS Korona Kielce A xG 0.68 xGA 0.88 xGD -0.20
  6. Sun 16/08 GKS Katowice H Best underlying xG 2.92 xGA 1.10 xGD +1.82
  7. Sat 08/08 Pogoń Szczecin A Weakest underlying xG 0.92 xGA 2.35 xGD -1.43
  8. Fri 31/07 Jagiellonia Białystok H Against the chances xG 2.01 xGA 0.89 xGD +1.12
  9. Sun 26/07 Widzew Łódź A xG 1.15 xGA 2.49 P xGD -1.34

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 →

Motor Lublin in Ekstraklasa

Attack

Defence

Overall

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 →

Mind if we count your visit?

We use Google Analytics only to see how many people visit and which pages they read. It loads after you allow it — no ads, no tracking across other sites. What we collect