xgEdge

Sunday, 20/09/2026 at 17:00

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Match report · SuperLiga (Serbia)

FK Mačva Šabac 1:2 FK Mladost Lučani

FK Mačva Šabac Home 1.79 xG
FK Mladost Lučani Away 1.22 xG
12 The result went against the chances

FK Mačva Šabac were the model's likeliest winner before kick-off at 40%. FK Mladost Lučani won 2–1. The biggest difference was FK Mačva Šabac's attack: 1.79 xG against 1.54 projected (+0.25).

The model against the result

priced before kick-off
FK Mačva Šabac
40%
Draw
29%
FK Mladost Lučani
31% What happened

Data coverage One of these teams has only 7 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.

Projected vs produced

Expected goals
FK Mačva Šabac The model projected 1.54 Produced 1.79 Difference +0.25
FK Mladost Lučani The model projected 1.35 Produced 1.22 Difference -0.13

FK Mačva Šabac produced 0.25 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FK Mačva Šabac FK Mladost Lučani
Shots
14
5
On target
5
2
Inside the box
8
4
xG per shot
0.13
0.24

Recent form

Last 6 · xG per match
FK Mačva Šabac

0.77 xG created 2.42 xGA

  • L 2.08 created, 2.22 conceded against FK Vojvodina
  • L 0.51 created, 0.88 conceded against FK Radnik Surdulica
  • W 0.78 created, 1.14 conceded against FK Radnički Niš
  • D 0.92 created, 2.63 conceded against FK Novi Pazar
  • D 0.22 created, 3.02 conceded against FK Radnički 1923
  • L 0.11 created, 4.63 conceded against FK Železničar Pančevo
FK Mladost Lučani

1.21 xG created 1.81 xGA

  • W 2.01 created, 1.47 conceded against FK Javor Ivanjica
  • W 1.03 created, 0.63 conceded against FK Napredak Kruševac
  • D 1.20 created, 1.87 conceded against FK Železničar Pančevo
  • W 1.40 created, 2.22 conceded against FK Partizan
  • W 1.11 created, 2.20 conceded against FK Radnički Niš
  • L 0.49 created, 2.49 conceded against FK Radnički 1923

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

Pre-match model & market record

8 opportunities flagged6 won2 lost

  • Lost
  • Won
  • Won
  • Won
  • Won
  • Lost
  • Won
  • Won
View pre-match record
The outcomes the model flagged on FK Mačva Šabac against FK Mladost Lučani before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
FK Mačva Šabac 2+ goals 3.40 +59.8% Lost
Over 2.5 goals 2.40 +36.7% Won
Both teams to score 2.10 +34.7% Won
FK Mačva Šabac to score 1.50 +21.8% Won
Over 1.5 goals 1.40 +15.5% Won
FK Mačva Šabac to win 2.70 +7.7% Lost
FK Mladost Lučani 2+ goals 2.63 +5.6% Won
FK Mladost Lučani to score 1.36 +5.0% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
FK Mačva Šabac 39.9% 34.4% +5.5 pp 2.51
Draw 29.0% 29.9% −0.9 pp 3.44
FK Mladost Lučani 31.1% 35.7% −4.6 pp 3.22

Other markets

Outcome Model Market Difference Fair odds
FK Mačva Šabac to score 81.2% 62.5% +18.7 pp 1.23
FK Mačva Šabac not to score 18.8% 37.5% −18.7 pp 5.32
FK Mladost Lučani to score 77.0% 68.7% +8.2 pp 1.30
FK Mladost Lučani not to score 23.0% 31.3% −8.2 pp 4.34
Both teams to score 64.1% 44.3% +19.9 pp 1.56
Both teams not to score 35.9% 55.7% −19.9 pp 2.79
FK Mačva Šabac 2+ goals 47.0% 27.7% +19.3 pp 2.13
FK Mačva Šabac at most 1 goal 53.0% 72.3% −19.3 pp 1.89
FK Mladost Lučani 2+ goals 40.2% 35.5% +4.7 pp 2.49
FK Mladost Lučani at most 1 goal 59.8% 64.5% −4.7 pp 1.67
Over 1.5 goals 82.5% 66.3% +16.3 pp 1.21
Under 1.5 goals 17.5% 33.7% −16.3 pp 5.72
Over 2.5 goals 57.0% 38.5% +18.5 pp 1.76
Under 2.5 goals 43.0% 61.5% −18.5 pp 2.32

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

· 1 warning
Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
FK Mačva Šabac sample
7 matches
FK Mladost Lučani sample
20 matches
Computed
1 day before kick-off
Prices taken
1 day before kick-off

Warnings

  • FK Mačva Šabac has only 7 matches in the database. Below 10 matches the estimate is very unreliable.

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.