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Shakhtar Donetsk

UkraineUkrainian Premier League2026-2027

Foresportia analyses Shakhtar Donetsk using its match data and proprietary models: Elo level, recent form, probabilities, observed reliability and verifiable market signals.

Foresportia Elo
1728Ukrainian Premier League rank : 1st
1X2 entropy
1.18Lower = easier to read
Points volatility
1.20Standard deviation over 5 matches
Recent form
2.40Points per match over 5 matches
Model confidence
62.9%Average over 10 predictions

Current analysis: Shakhtar Donetsk

Shakhtar Donetsk are enjoying a positive run, taking 12 points from the last five recorded matches in Ukrainian Premier League. With 10 goals scored and 4 conceded, the team combine a productive attack with a solid defense over these matches. More matches this season are needed to confirm this trend.

Ukrainian Premier League · 2026-2027 · 7 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
020
213
303
303
213

1. How Foresportia evaluates Shakhtar Donetsk

Summary of indicators actually available in Foresportia data.

1728Foresportia EloUkrainian Premier League rank : 1st
1.181X2 entropyLower = easier to read
1.20Points volatilityStandard deviation over 5 matches
2.40Recent formpoints / match
62.9%Model confidenceAverage over 10 predictions

2. Next match

UEFA Champions League

FC Internazionale MilanoElo : Not available
VS
FK Shakhtar DonetskElo : Not available
Main signal—
Model confidenceNot available
StabilityRisk
View match details →

3. Prediction reliability for Shakhtar Donetsk

Data updated on 20 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2026-04RiskInsufficient sample1
2026-05RiskInsufficient sample3
2026-08RiskInsufficient sample3
2026-09RiskInsufficient sample4
2026-10RiskInsufficient sample4
2026-04Correct and aboveInsufficient sample2
2026-05Correct and aboveInsufficient sample5
2026-08Correct and aboveInsufficient sample8
2026-09Correct and aboveInsufficient sample9
2026-10Correct and above81.8%11
2026-04Stable and aboveInsufficient sample1
2026-05Stable and aboveInsufficient sample3
2026-08Stable and aboveInsufficient sample5
2026-09Stable and aboveInsufficient sample5
2026-10Stable and aboveInsufficient sample6
2026-04Ultra stableInsufficient sample1
2026-05Ultra stableInsufficient sample3
2026-08Ultra stableInsufficient sample5
2026-09Ultra stableInsufficient sample5
2026-10Ultra stableInsufficient sample6

4. Predictive profile for Shakhtar Donetsk

ContextObserved measureReading
Home performance2.14 pts/matchLower observed return
Away performance3.00 pts/matchHigher observed return

5. Statistical markers for Shakhtar Donetsk

Team values from Foresportia sources, without a reconstructed league average.

Expected goals created at home1.84
Expected goals conceded at home0.62
Expected goals created away1.81
Expected goals conceded away0.51
Goals scored / match (5)2.00
Goals conceded / match (5)0.80

History: 15 verified matches

6. Market signals for Shakhtar Donetsk

MarketAverage probabilityReliabilityVolumeReading
Double chance 1279.2%100.0%17Major, well-documented signal
Double chance X286.1%100.0%9Promising signal, limited sample
Away draw no bet81.9%100.0%9Promising signal, limited sample
Away win69.9%100.0%8Promising signal, limited sample
Over 2.561.3%81.8%11Success above the average probability

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Shakhtar Donetsk
Average model confidenceShows how the model’s average certainty changes across matches.
Shakhtar Donetsk
xG differential trendCompares expected goals created and conceded to track the balance of chances.
PositiveNegative
Model calibrationCompares published probabilities with the rates actually observed.
Observed ratePerfect

8. Foresportia analysis

For Foresportia, Shakhtar Donetsk mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Shakhtar Donetsk is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 1.37.

The next confirmed match is FC Internazionale Milano vs FK Shakhtar Donetsk on . Probabilities will appear when an enriched prediction is available.

AI verdictHigh predictive reliability

Correct and above: 81.8% success across 11 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Shakhtar Donetsk FAQ

What is the next match for Shakhtar Donetsk on Foresportia?

This page shows Shakhtar Donetsk's confirmed next match. The enriched prediction and its probabilities are not available yet.

How should you read Shakhtar Donetsk's ranking and Elo?

This page includes dedicated charts for Shakhtar Donetsk's ranking and Elo trends, with season separators to make the evolution easier to read.

What does the strongest picks block mean for Shakhtar Donetsk?

It highlights the markets that performed best in the available history for Shakhtar Donetsk, together with sample size, hit rate and average probability.

Shakhtar Donetsk: AI analysis, predictions and Foresportia signals

For Foresportia, Shakhtar Donetsk mainly combines stronger recent control and a more reliable defensive base. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Shakhtar Donetsk is going through a strong control sequence, with 2.40 points per match over the last five matches and an average xG delta of 1.37.

The next confirmed match is FC Internazionale Milano vs FK Shakhtar Donetsk on . Probabilities will appear when an enriched prediction is available.