xgEdge

Expected goals

Kalcer Radomlje expected goals (xG) 2026/2027

PrvaLiga (Slovenia) · after 9 matches · updated 1 Oct

Kalcer Radomlje's attacking and defensive expected goals in PrvaLiga (Slovenia) 2026/2027, compared with the results they produced and with the rest of the competition.

Kalcer Radomlje xG and xGA per match

Every match ↓
Attack
1.31 xG per match
#8/10
Attack (xG per match) across PrvaLiga (Slovenia), best first
Rank Club xG per match
#1 NK Nafta Lendava 1903 1.76
#2 NK Olimpija Ljubljana 1.66
#3 NK Celje 1.59
#4 FC Koper 1.53
#5 NK Bravo 1.48
#6 NK Maribor 1.48
#7 NK Aluminij Kidričevo 1.44
#8 Kalcer Radomlje 1.31
#9 NŠ Mura 1.26
#10 Brinje Grosuplje 1.25
League avg
1.48
Total
11.78 9 matches
Defence
1.96 xGA per match
#10/10
Defence (xGA per match) across PrvaLiga (Slovenia), best first
Rank Club xGA per match
#1 NK Maribor 0.84
#2 NK Celje 1.05
#3 FC Koper 1.28
#4 NK Olimpija Ljubljana 1.32
#5 NŠ Mura 1.39
#6 NK Aluminij Kidričevo 1.48
#7 NK Nafta Lendava 1903 1.70
#8 Brinje Grosuplje 1.77
#9 NK Bravo 1.92
#10 Kalcer Radomlje 1.96
League avg
1.48
Total
17.62 9 matches
xG difference
-0.65 xGD per match
#10/10
xG difference (xGD per match) across PrvaLiga (Slovenia), best first
Rank Club xGD per match
#1 NK Maribor +0.64
#2 NK Celje +0.54
#3 NK Olimpija Ljubljana +0.34
#4 FC Koper +0.25
#5 NK Nafta Lendava 1903 +0.05
#6 NK Aluminij Kidričevo -0.05
#7 NŠ Mura -0.13
#8 NK Bravo -0.44
#9 Brinje Grosuplje -0.52
#10 Kalcer Radomlje -0.65
League avg
0.00
Total
-5.84 9 matches
Expected points Model — Model output — computed from each match's xG, not a result. How xPts works →
0.99 xPts per match
#10/10
Expected points (xPts per match) across PrvaLiga (Slovenia), best first
Rank Club xPts per match
#1 NK Maribor 1.84
#2 NK Celje 1.78
#3 NK Olimpija Ljubljana 1.61
#4 FC Koper 1.55
#5 NK Nafta Lendava 1903 1.37
#6 NK Aluminij Kidričevo 1.29
#7 NŠ Mura 1.22
#8 NK Bravo 1.06
#9 Brinje Grosuplje 1.06
#10 Kalcer Radomlje 0.99
League avg
1.37
Total
8.88 vs 5 actual pts

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

What the xG says

Kalcer Radomlje's underlying numbers are among the weakest in PrvaLiga (Slovenia). They rank #10 for xG difference at -0.65 per match, from about average shot volume at about average chance quality. Their 9 goals are 2.78 below 11.78 xG, while 5 points are 3.88 below 8.88 xPts. After only 9 matches, those gaps should still be read cautiously.

Actual vs expected

Measure Actual Expected Difference Reading
Goals vs xG Includes 0.74 xG from penalties
9 11.78 -2.78 scored 2.78 fewer than xG within normal variance
Goals conceded vs xGA
18 17.62 +0.38 conceded 0.38 more than xGA within normal variance
Points vs xPts Model — Model output — computed from each match's xG, not a result. How xPts works →
5 8.88 -3.88 3.88 points below xPts outside normal variance

Select a row to chart it across the season.

Goals minus xG, match by match

Kalcer Radomlje are 2.78 goals below their xG after 9 matches.

Goals
9
xG
11.78
Gap
-2.78
Sat 18/07 Sun 26/07 Sun 02/08 Mon 10/08 Sun 16/08 Sat 29/08 Fri 04/09 Sun 13/09 Sun 20/09 -3 -2 -1 0 +1 -0.84 -0.10 -1.50 -0.16 -0.18 -1.45 -1.29 -2.28 -2.78 -0.84 +0.74 -1.40 +1.34 -0.02 -1.27 +0.16 -0.99 -0.50 Running gap goals − xG Each match goals − xG
Kalcer Radomlje: Goals vs xG, the gap after every match with xG
Date Opponent Goals xG Match gap Running gap
Sat 18/07 Brinje Grosuplje 0 0.84 -0.84 -0.84
Sun 26/07 FC Koper 2 1.26 +0.74 -0.10
Sun 02/08 NK Bravo 1 2.40 -1.40 -1.50
Mon 10/08 NŠ Mura 3 1.66 +1.34 -0.16
Sun 16/08 NK Aluminij Kidričevo 1 1.02 -0.02 -0.18
Sat 29/08 NK Olimpija Ljubljana 0 1.27 -1.27 -1.45
Fri 04/09 NK Nafta Lendava 1903 1 0.84 +0.16 -1.29
Sun 13/09 NK Maribor 0 0.99 -0.99 -2.28
Sun 20/09 Brinje Grosuplje 1 1.50 -0.50 -2.78

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

Kalcer Radomlje xG trend

Current form -0.86 npxGD per match

The last 6 matches with xG.

Out-created the opponent in 2 of 9 matches. The worst was against NK Nafta Lendava 1903 on Fri 04/09 (-2.40).

npxG · last 6
1.22
npxGA · last 6
2.08
-3 -2 -1 0 +1 -0.30 Sat 18/07 -0.73 Sun 26/07 +0.33 Sun 02/08 +0.42 Mon 10/08 -0.26 Sun 16/08 -1.43 Sat 29/08 -2.40 Fri 04/09 -0.91 Sun 13/09 -0.57 Sun 20/09 -0.65 season avg
Kalcer Radomlje: 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
Sat 18/07 Brinje Grosuplje 0.84 1.14 -0.30 -0.30
Sun 26/07 FC Koper 1.26 1.99 -0.73 -0.51
Sun 02/08 NK Bravo 1.64 1.31 +0.33 -0.23
Mon 10/08 NŠ Mura 1.66 1.24 +0.42 -0.07
Sun 16/08 NK Aluminij Kidričevo 1.02 1.28 -0.26 -0.11
Sat 29/08 NK Olimpija Ljubljana 1.28 2.71 -1.43 -0.33
Fri 04/09 NK Nafta Lendava 1903 0.84 3.24 -2.40 -0.62
Sun 13/09 NK Maribor 1.00 1.91 -0.91 -0.66
Sun 20/09 Brinje Grosuplje 1.50 2.07 -0.57 -0.65

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 — 1.23 npxG and 1.88 npxGA per match. Current form is the same difference over the last 6 matches with xG.

Form ranking →

Strength of schedule

Season so far
number 6 hardest of 10 in PrvaLiga (Slovenia)
−0.01 xG vs league average
Over 9 league matches
Last 5
number 6 hardest of 10 in PrvaLiga (Slovenia)
−0.02 xG vs league average
Over 5 league matches
Opponents behind the figures

Season so far

−0.01 xG vs league average · over 9 matches · number 6 hardest of 10

  1. Brinje Grosuplje Away −0.27
  2. NK Maribor Home +0.38
  3. NK Nafta Lendava 1903 Away −0.20
  4. NK Olimpija Ljubljana Home +0.25
  5. NK Aluminij Kidričevo Home −0.28
  6. NŠ Mura Away +0.23
  7. NK Bravo Home −0.09
  8. FC Koper Away +0.15
  9. Brinje Grosuplje Home −0.27

Last 5

−0.02 xG vs league average · over 5 matches · number 6 hardest of 10

  1. Brinje Grosuplje Away −0.27
  2. NK Maribor Home +0.38
  3. NK Nafta Lendava 1903 Away −0.20
  4. NK Olimpija Ljubljana Home +0.25
  5. NK Aluminij Kidričevo Home −0.28

League schedule strength → How this is calculated →

Kalcer Radomlje shots and chance quality

Average volume, average quality. Kalcer Radomlje take 10.9 shots a match (league 11.8) at 0.11 npxG a shot (league 0.12), #8 in PrvaLiga (Slovenia) for volume and #6 for quality. 61% of their shots come from inside the box (league 60%).

Attack

Shot volume
10.9 shots per match
#8/10
Shot volume (shots per match) across PrvaLiga (Slovenia), best first
Rank Club shots per match
#1 NK Olimpija Ljubljana 14.9
#2 NK Maribor 13.8
#3 NK Celje 12.1
#4 NŠ Mura 12.1
#5 FC Koper 12.0
#6 NK Bravo 11.9
#7 NK Nafta Lendava 1903 11.4
#8 Kalcer Radomlje 10.9
#9 NK Aluminij Kidričevo 10.0
#10 Brinje Grosuplje 8.8
League avg
11.8
Total
98 shots from 9 matches
Chance quality
0.11 npxG per shot
#6/10
Chance quality (npxG per shot) across PrvaLiga (Slovenia), best first
Rank Club npxG per shot
#1 NK Nafta Lendava 1903 0.15
#2 Brinje Grosuplje 0.14
#3 NK Aluminij Kidričevo 0.14
#4 NK Celje 0.12
#5 FC Koper 0.12
#6 Kalcer Radomlje 0.11
#7 NK Bravo 0.11
#8 NK Olimpija Ljubljana 0.11
#9 NŠ Mura 0.10
#10 NK Maribor 0.10
League avg
0.12
Total
11.04 npxG from 98 shots

Defence

Shots allowed
12.8 shots per match
#8/10
Shots allowed (shots per match) across PrvaLiga (Slovenia), best first
Rank Club shots per match
#1 NK Maribor 8.7
#2 NK Olimpija Ljubljana 9.6
#3 NK Celje 9.9
=4 Brinje Grosuplje 10.8
=4 NŠ Mura 10.8
#6 FC Koper 11.5
#7 NK Aluminij Kidričevo 12.1
#8 Kalcer Radomlje 12.8
#9 NK Bravo 14.6
#10 NK Nafta Lendava 1903 17.1
League avg
11.8
Total
115 shots allowed from 9 matches
Chance quality allowed
0.15 npxGA per shot
#9/10
Chance quality allowed (npxGA per shot) across PrvaLiga (Slovenia), best first
Rank Club npxGA per shot
#1 NK Maribor 0.10
#2 NK Nafta Lendava 1903 0.10
#3 NK Celje 0.11
#4 FC Koper 0.11
#5 NK Aluminij Kidričevo 0.11
#6 NŠ Mura 0.12
#7 NK Olimpija Ljubljana 0.12
#8 NK Bravo 0.13
#9 Kalcer Radomlje 0.15
#10 Brinje Grosuplje 0.16
League avg
0.12
Total
16.89 npxGA from 115 shots

Shot profile

Shot location

61% inside the box

League avg 60%

From 60 of 98 shots over 9 matches

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

Shots allowed, location

70% allowed inside the box

League avg 60%

From 80 of 115 shots allowed over 9 matches

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

How the shot figures are made →

Kalcer Radomlje home and away xG

Kalcer Radomlje per-match figures at home and away
Measure Home Away
Matches 5 4
xG / match 1.30 1.32
xGA / match 1.67 2.32
xGD / match -0.36 -1.01
xPts / match Model — Model output — computed from each match's xG, not a result. How xPts works → 1.10 0.84

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

Every Kalcer Radomlje match by xG

Window
Season Last 10 Last 5
Venue
All Home Away

This season

Matches
9
xG / match
1.31
xGA / match
1.96
xGD / match
-0.65
Points
5 of 27
  1. Sun 20/09 Brinje Grosuplje A xG 1.50 xGA 2.06 xGD -0.56
  2. Sun 13/09 NK Maribor H xG 0.99 xGA 1.91 xGD -0.92
  3. Fri 04/09 NK Nafta Lendava 1903 A Weakest underlying xG 0.84 xGA 3.23 xGD -2.39
  4. Sat 29/08 NK Olimpija Ljubljana H xG 1.27 xGA 2.70 xGD -1.43
  5. Sun 16/08 NK Aluminij Kidričevo H xG 1.02 xGA 1.28 xGD -0.26
  6. Mon 10/08 NŠ Mura A xG 1.66 xGA 1.24 xGD +0.42
  7. Sun 02/08 NK Bravo H Against the chances xG 2.40 P xGA 1.31 xGD +1.09
  8. Sun 26/07 FC Koper A xG 1.26 xGA 2.75 P xGD -1.49
  9. Sat 18/07 Brinje Grosuplje H xG 0.84 xGA 1.14 xGD -0.30

Newest first. The dot is xG and the ring is xGA, on one scale from 0 to 3.23. 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 →

Kalcer Radomlje in PrvaLiga (Slovenia)

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 →

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