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Sunday, 20/09/2026 at 17:00

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Match report · Ukrainian Premier League

Shakhtar Donetsk 3:0 LNZ Cherkasy

Shakhtar Donetsk Home 2.74 xG
LNZ Cherkasy Away 0.73 xG
30 The scoreline reflected the chances

Shakhtar Donetsk were the model's likeliest winner before kick-off at 37%. They won 3–0. The biggest difference was Shakhtar Donetsk's attack: 2.74 xG against 1.08 projected (+1.66).

The model against the result

priced before kick-off
Shakhtar Donetsk
37% What happened
Draw
36%
LNZ Cherkasy
28%

Data coverage Both teams have the full 20-match model window available.

Projected vs produced

Expected goals
Shakhtar Donetsk The model projected 1.08 Produced 2.74 Difference +1.66
LNZ Cherkasy The model projected 0.92 Produced 0.73 Difference -0.19

Shakhtar Donetsk produced 1.66 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Shakhtar Donetsk LNZ Cherkasy
Shots
18
6
On target
8
5
Inside the box
9
4
xG per shot
0.15
0.12

Recent form

Last 6 · xG per match
Shakhtar Donetsk

1.62 xG created 1.00 xGA

  • W 1.19 created, 1.20 conceded against FC Kryvbas Kryvyi Rih
  • W 2.80 created, 0.29 conceded against Kudrivka
  • W 1.39 created, 0.47 conceded against FC Epicentr Dunaivtsi
  • W 0.88 created, 1.51 conceded against Metalist 1925
  • W 1.58 created, 2.05 conceded against Karpaty Lviv
  • W 1.90 created, 0.46 conceded against Chornomorets Odesa
LNZ Cherkasy

2.01 xG created 0.71 xGA

  • L 1.14 created, 0.22 conceded against Kudrivka
  • W 1.17 created, 0.46 conceded against Obolon Kyiv
  • D 3.49 created, 0.22 conceded against Bukovyna Chernivtsi
  • L 1.60 created, 1.16 conceded against Karpaty Lviv
  • D 0.49 created, 1.76 conceded against Dynamo Kyiv
  • W 4.19 created, 0.42 conceded against Obolon Kyiv

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

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Shakhtar Donetsk sample
20 matches
LNZ Cherkasy sample
20 matches
Computed
1 day before kick-off

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.