xgEdge

Monday, 12/10/2026 at 12:50

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Match report · Ukrainian Premier League

FC Livyi Bereh Kyiv 1:3 Zoria Luhansk

FC Livyi Bereh Kyiv Home 0.66 xG
Zoria Luhansk Away 2.20 xG
13 The scoreline reflected the chances

Zoria Luhansk were the model's likeliest winner before kick-off at 36%. They won 3–1. The biggest difference was Zoria Luhansk's attack: 2.20 xG against 1.17 projected (+1.03). FC Livyi Bereh Kyiv produced 0.66 xG against 1.08 projected (−0.42).

The model against the result

priced before kick-off
FC Livyi Bereh Kyiv
31%
Draw
34%
Zoria Luhansk
36% 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
FC Livyi Bereh Kyiv The model projected 1.08 Produced 0.66 Difference -0.42
Zoria Luhansk The model projected 1.17 Produced 2.20 Difference +1.03

Zoria Luhansk produced 1.03 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

FC Livyi Bereh Kyiv Zoria Luhansk
Shots
12
18
On target
3
9
Inside the box
7
10
xG per shot
0.06
0.12

Recent form

Last 6 · xG per match
FC Livyi Bereh Kyiv

0.96 xG created 1.02 xGA

  • D 1.16 created, 0.67 conceded against Kudrivka
  • D 2.19 created, 0.64 conceded against FC Kryvbas Kryvyi Rih
  • D 0.37 created, 1.42 conceded against Karpaty Lviv
  • D 0.34 created, 0.46 conceded against Chornomorets Odesa
  • L 0.23 created, 1.55 conceded against Polissya Zhytomyr
  • W 1.46 created, 1.36 conceded against FC Epicentr Dunaivtsi
Zoria Luhansk

0.84 xG created 1.52 xGA

  • L 1.25 created, 0.51 conceded against FC Kryvbas Kryvyi Rih
  • W 0.83 created, 1.87 conceded against Polissya Zhytomyr
  • L 0.52 created, 2.56 conceded against Metalist 1925
  • D 1.08 created, 0.87 conceded against Veres Rivne
  • D 0.70 created, 2.31 conceded against Bukovyna Chernivtsi
  • L 0.68 created, 1.01 conceded against Dynamo Kyiv

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

Pre-match model & market record

5 qualified edges flagged1 won4 lost

  • Lost
  • Lost
  • Won
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on FC Livyi Bereh Kyiv against Zoria Luhansk before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Under 2.5 goals 1.85 +11.8% Lost
Draw 3.25 +9.0% Lost
FC Livyi Bereh Kyiv at most 1 goal 1.44 +1.8% Won
Under 1.5 goals 3.40 +1.5% Lost
Zoria Luhansk at most 1 goal 1.50 +0.2% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
FC Livyi Bereh Kyiv 30.8% 32.5% −1.7 pp 3.25
Draw 33.5% 28.0% +5.6 pp 2.98
Zoria Luhansk 35.7% 39.5% −3.8 pp 2.80

Other markets

Outcome Model Market Difference Fair odds
FC Livyi Bereh Kyiv to score 69.0% 68.7% +0.2 pp 1.45
FC Livyi Bereh Kyiv not to score 31.0% 31.3% −0.2 pp 3.22
Zoria Luhansk to score 71.9% 72.3% −0.5 pp 1.39
Zoria Luhansk not to score 28.1% 27.7% +0.5 pp 3.55
Both teams to score 51.6% 50.0% +1.6 pp 1.94
Both teams not to score 48.4% 50.0% −1.6 pp 2.06
FC Livyi Bereh Kyiv 2+ goals 29.5% 35.5% −6.0 pp 3.39
FC Livyi Bereh Kyiv at most 1 goal 70.5% 64.5% +6.0 pp 1.42
Zoria Luhansk 2+ goals 33.2% 37.5% −4.3 pp 3.01
Zoria Luhansk at most 1 goal 66.8% 62.5% +4.3 pp 1.50
Over 1.5 goals 70.1% 72.3% −2.2 pp 1.43
Under 1.5 goals 29.9% 27.7% +2.2 pp 3.35
Over 2.5 goals 39.6% 48.7% −9.1 pp 2.53
Under 2.5 goals 60.4% 51.3% +9.1 pp 1.66

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)
FC Livyi Bereh Kyiv sample
7 matches
Zoria Luhansk sample
20 matches
Computed
3 hours before kick-off
Prices taken
6 hours before kick-off

Warnings

  • FC Livyi Bereh Kyiv 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.