xgEdge

Monday, 14/09/2026 at 17:00

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Match report · Ukrainian Premier League

Shakhtar Donetsk 2:0 Chornomorets Odesa

Shakhtar Donetsk Home 1.90 xG
Chornomorets Odesa Away 0.46 xG
20 The scoreline reflected the chances

Shakhtar Donetsk were the model's likeliest winner before kick-off at 60%. They won 2–0. The biggest difference was Chornomorets Odesa's attack: 0.46 xG against 0.74 projected (−0.28).

The model against the result

priced before kick-off
Shakhtar Donetsk
60% What happened
Draw
27%
Chornomorets Odesa
13%

Data coverage One of these teams has only 3 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
Shakhtar Donetsk The model projected 1.70 Produced 1.90 Difference +0.20
Chornomorets Odesa The model projected 0.74 Produced 0.46 Difference -0.28

Chornomorets Odesa produced 0.28 xG less than projected

Projected before kick-off Produced on the night

The shots behind it

Shakhtar Donetsk Chornomorets Odesa
Shots
20
5
On target
9
2
Inside the box
9
2
xG per shot
0.10
0.09

Recent form

Last 6 · xG per match
Shakhtar Donetsk

1.40 xG created 1.05 xGA

  • W 0.54 created, 0.78 conceded against Obolon Kyiv
  • 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
Chornomorets Odesa

0.56 xG created 1.10 xGA

  • L 0.22 created, 1.12 conceded against Polissya Zhytomyr
  • W 1.01 created, 1.84 conceded against FC Kryvbas Kryvyi Rih
  • D 0.46 created, 0.34 conceded against FC Livyi Bereh Kyiv

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

Pre-match model & market record

9 opportunities flagged1 won8 lost

  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Won
  • Lost
View pre-match record
The outcomes the model flagged on Shakhtar Donetsk against Chornomorets Odesa before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Chornomorets Odesa to win 17.00 +119.2% Lost
Draw 7.00 +88.4% Lost
Shakhtar Donetsk at most 1 goal 3.75 +77.6% Lost
Chornomorets Odesa to score 2.63 +44.4% Lost
Shakhtar Donetsk not to score 9.00 +41.4% Lost
Chornomorets Odesa 2+ goals 8.50 +36.4% Lost
Both teams to score 2.75 +31.9% Lost
Under 2.5 goals 2.38 +30.5% Won
Under 1.5 goals 4.50 +16.2% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Shakhtar Donetsk 60.2% 81.3% −21.1 pp 1.66
Draw 26.9% 13.3% +13.6 pp 3.72
Chornomorets Odesa 12.9% 5.5% +7.4 pp 7.76

Other markets

Outcome Model Market Difference Fair odds
Shakhtar Donetsk to score 84.3% 89.6% −5.3 pp 1.19
Shakhtar Donetsk not to score 15.7% 10.4% +5.3 pp 6.37
Chornomorets Odesa to score 55.0% 35.5% +19.5 pp 1.82
Chornomorets Odesa not to score 45.0% 64.5% −19.5 pp 2.22
Both teams to score 48.0% 33.7% +14.2 pp 2.08
Both teams not to score 52.0% 66.3% −14.2 pp 1.92
Shakhtar Donetsk 2+ goals 52.6% 75.0% −22.4 pp 1.90
Shakhtar Donetsk at most 1 goal 47.4% 25.0% +22.4 pp 2.11
Chornomorets Odesa 2+ goals 16.0% 11.0% +5.1 pp 6.23
Chornomorets Odesa at most 1 goal 84.0% 89.0% −5.1 pp 1.19
Over 1.5 goals 74.2% 79.4% −5.2 pp 1.35
Under 1.5 goals 25.8% 20.6% +5.2 pp 3.87
Over 2.5 goals 45.1% 60.8% −15.7 pp 2.22
Under 2.5 goals 54.9% 39.2% +15.7 pp 1.82

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)
Shakhtar Donetsk sample
20 matches
Chornomorets Odesa sample
3 matches
Computed
8 hours before kick-off
Prices taken
8 hours before kick-off

Warnings

  • Chornomorets Odesa has only 3 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.