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Match report · Ukrainian Premier League

Veres Rivne 2:1 Kudrivka

Veres Rivne Home
Kudrivka Away
21

Veres Rivne were the model's likeliest winner before kick-off at 47%. They won 2–1.

The model against the result

priced before kick-off
Veres Rivne
47% What happened
Draw
29%
Kudrivka
24%

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

Recent form

Last 6 · xG per match
Veres Rivne

1.02 xG created 2.12 xGA

  • L 1.43 created, 2.38 conceded against Karpaty Lviv
  • L 0.20 created, 3.80 conceded against Metalist 1925
  • L 1.63 created, 2.77 conceded against Dynamo Kyiv
  • D 0.68 created, 2.05 conceded against FC Epicentr Dunaivtsi
  • D 0.87 created, 1.08 conceded against Zoria Luhansk
  • D 1.31 created, 0.62 conceded against Karpaty Lviv
Kudrivka

0.86 xG created 2.50 xGA

  • L 0.29 created, 2.80 conceded against Shakhtar Donetsk
  • D 0.67 created, 1.16 conceded against FC Livyi Bereh Kyiv
  • D 1.03 created, 1.48 conceded against Obolon Kyiv
  • L 0.97 created, 2.41 conceded against FC Epicentr Dunaivtsi
  • L 1.06 created, 5.21 conceded against Polissya Zhytomyr
  • L 1.11 created, 1.96 conceded against Kolos Kovalivka

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

Head to head

Veres Rivne: 1 won · 1 drawn · 0 lost

Pre-match model & market record

2 opportunities flagged2 won0 lost

  • Won
  • Won
View pre-match record
The outcomes the model flagged on Veres Rivne against Kudrivka before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Over 2.5 goals 2.20 +13.9% Won
Over 1.5 goals 1.33 +5.5% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Veres Rivne 47.0% 46.2% +0.9 pp 2.13
Draw 29.3% 27.1% +2.2 pp 3.41
Kudrivka 23.6% 26.7% −3.1 pp 4.23

Other markets

Outcome Model Market Difference Fair odds
Over 1.5 goals 79.1% 69.2% +9.9 pp 1.26
Under 1.5 goals 20.9% 30.8% −9.9 pp 4.79
Over 2.5 goals 51.8% 42.1% +9.7 pp 1.93
Under 2.5 goals 48.2% 57.9% −9.7 pp 2.07

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

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Veres Rivne sample
20 matches
Kudrivka sample
20 matches
Computed
2 days before kick-off
Prices taken
2 days 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.