xgEdge

Saturday, 17/10/2026 at 15:00

13d 14h to kick-off
Match preview · Ukrainian Premier League

Obolon Kyiv – Veres Rivne

Obolon Kyiv 15th in Ukrainian Premier League Home 1.19 projected goals by the model
Veres Rivne 11th in Ukrainian Premier League Away 1.13 projected goals by the model

Model updated 3 October, 21:30 Odds not yet available

What the model expects

expected goals
1.19 1.13
Obolon Kyiv Veres Rivne
Obolon Kyiv
35%
Draw
33%
Veres Rivne
32%
The odds each result is fair at by the model's chance of it, with no margin in it
Obolon Kyiv Draw Veres Rivne
Fair odds 2.87 3.03 3.11
Total goals
2.32
Over 2.5 goals
42%
Both teams to score
53%
Data coverage · full

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

Model vs market

Market odds are not available for this match yet.

The model's case

Why the model can't separate them

35% Obolon Kyiv to win

Attack
16th vs 13th
Obolon Kyiv attack v Veres Rivne defence
Defence
9th vs 12th
Obolon Kyiv defence v Veres Rivne attack
Recent xG form
-1.34 vs -1.10
xGD per match, last 6
Projected goals
1.19 – 1.13
Obolon Kyiv v Veres Rivne
How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: Obolon Kyiv and Veres Rivne compared, each figure with where it places in the competition.
Reading Obolon Kyiv Veres Rivne
xG / match 0.60 · 15th from 4 matches (better) 0.94 · 12th
xGA / match 2.79 · 16th from 4 matches (better) 2.06 · 13th
xGD / match -2.19 · 16th from 4 matches (better) -1.13 · 14th
xPts / match 0.48 · 16th from 4 matches (better) 0.85 · 12th
Last 6 xGD / match -1.34 (better) -1.10

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 36% of the model's distribution.

Obolon Kyiv clean sheet
29%
Obolon Kyiv 2+ goals
34%
Under 2.5 goals
58%
Both teams to score: no
47%

Most likely scorelines

1:1
17.0%
0:0
10.1%
1:0
9.4%
Value calculator

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How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Obolon Kyiv sample
20 matches
Veres Rivne sample
20 matches
Home xG sample · Obolon Kyiv
0 matches
Away xG sample · Veres Rivne
3 matches
Computed
Saturday, 03/10/2026 at 21:30

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.