Logo Queens Park Rangers

Queens Park Rangers

EnglandChampionship2026-2027

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

Foresportia Elo
1484Championship rank : 9th
1X2 entropy
1.52Lower = easier to read
Points volatility
0.98Standard deviation over 5 matches
Recent form
1.20Points per match over 5 matches
Model confidence
51.9%Average over 10 predictions

Current analysis: Queens Park Rangers

The goal tally for Queens Park Rangers is level across the last five recorded matches in Championship: 8 scored and the same number conceded. The team have taken 6 points from a possible 15 over these matches. More matches this season are needed to confirm this trend.

Championship · 2026-2027 · 9 matches analyzed

View analyzed match details
Matches analyzed (up to 5)
DateGoals scoredGoals concededPoints
111
221
111
413
030

1. How Foresportia evaluates Queens Park Rangers

Summary of indicators actually available in Foresportia data.

1484Foresportia EloChampionship rank : 9th
1.521X2 entropyLower = easier to read
0.98Points volatilityStandard deviation over 5 matches
1.20Recent formpoints / match
51.9%Model confidenceAverage over 10 predictions

2. Next match

Championship

Queens Park RangersElo : 1466
VS
Swansea CityElo : 1560
1X2 probabilities (Foresportia model)
31%30%39%
Queens Park Rangers 31%Draw 30%Swansea City 39%
Main signalAway win · 39%
Model confidence42.2%
StabilityRisk
View match details →

3. Prediction reliability for Queens Park Rangers

Data updated on 21 October 2026

Reliability trendCumulative monthly history
Insufficient sample
Cumulative monthly historyProfileReliabilityVolume
2024-08RiskInsufficient sample2
2024-09RiskInsufficient sample5
2024-10RiskInsufficient sample9
2024-11Risk50.0%12
2024-12Risk50.0%18
2025-01Risk52.2%23
2025-02Risk53.6%28
2025-03Risk59.4%32
2025-04Risk56.8%37
2025-05Risk57.9%38
2025-08Risk57.5%40
2025-09Risk53.5%43
2025-10Risk52.1%48
2025-11Risk54.7%53
2025-12Risk51.8%56
2026-01Risk54.1%61
2026-02Risk53.8%65
2026-03Risk54.4%68
2026-04Risk52.7%74
2026-05Risk52.7%74
2026-08Risk51.3%76
2026-09Risk50.0%80
2026-10Risk51.2%82
2024-08Correct and aboveInsufficient sample2
2024-09Correct and aboveInsufficient sample2
2024-10Correct and aboveInsufficient sample3
2024-11Correct and aboveInsufficient sample6
2024-12Correct and aboveInsufficient sample6
2025-01Correct and aboveInsufficient sample6
2025-02Correct and aboveInsufficient sample6
2025-03Correct and aboveInsufficient sample7
2025-04Correct and aboveInsufficient sample8
2025-05Correct and aboveInsufficient sample8
2025-08Correct and above60.0%10
2025-09Correct and above60.0%10
2025-10Correct and above60.0%10
2025-11Correct and above63.6%11
2025-12Correct and above71.4%14
2026-01Correct and above73.3%15
2026-02Correct and above75.0%16
2026-03Correct and above70.6%17
2026-04Correct and above70.6%17
2026-05Correct and above72.2%18
2026-08Correct and above72.2%18
2026-09Correct and above72.2%18
2026-10Correct and above68.4%19
2024-08Stable and aboveInsufficient sample0
2024-09Stable and aboveInsufficient sample0
2024-10Stable and aboveInsufficient sample0
2024-11Stable and aboveInsufficient sample1
2024-12Stable and aboveInsufficient sample1
2025-01Stable and aboveInsufficient sample1
2025-02Stable and aboveInsufficient sample1
2025-03Stable and aboveInsufficient sample1
2025-04Stable and aboveInsufficient sample2
2025-05Stable and aboveInsufficient sample2
2025-08Stable and aboveInsufficient sample3
2025-09Stable and aboveInsufficient sample3
2025-10Stable and aboveInsufficient sample3
2025-11Stable and aboveInsufficient sample3
2025-12Stable and aboveInsufficient sample4
2026-01Stable and aboveInsufficient sample5
2026-02Stable and aboveInsufficient sample5
2026-03Stable and aboveInsufficient sample5
2026-04Stable and aboveInsufficient sample5
2026-05Stable and aboveInsufficient sample6
2026-08Stable and aboveInsufficient sample6
2026-09Stable and aboveInsufficient sample6
2026-10Stable and aboveInsufficient sample6
2024-08Ultra stableInsufficient sample0
2024-09Ultra stableInsufficient sample0
2024-10Ultra stableInsufficient sample0
2024-11Ultra stableInsufficient sample0
2024-12Ultra stableInsufficient sample0
2025-01Ultra stableInsufficient sample0
2025-02Ultra stableInsufficient sample0
2025-03Ultra stableInsufficient sample0
2025-04Ultra stableInsufficient sample1
2025-05Ultra stableInsufficient sample1
2025-08Ultra stableInsufficient sample2
2025-09Ultra stableInsufficient sample2
2025-10Ultra stableInsufficient sample2
2025-11Ultra stableInsufficient sample2
2025-12Ultra stableInsufficient sample2
2026-01Ultra stableInsufficient sample3
2026-02Ultra stableInsufficient sample3
2026-03Ultra stableInsufficient sample3
2026-04Ultra stableInsufficient sample3
2026-05Ultra stableInsufficient sample3
2026-08Ultra stableInsufficient sample3
2026-09Ultra stableInsufficient sample3
2026-10Ultra stableInsufficient sample3

4. Predictive profile for Queens Park Rangers

ContextObserved measureReading
Home performance1.35 pts/matchHigher observed return
Away performance1.17 pts/matchLower observed return

5. Statistical markers for Queens Park Rangers

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

Expected goals created at home0.99
Expected goals conceded at home1.20
Expected goals created away0.84
Expected goals conceded away0.95
Goals scored / match (5)1.60
Goals conceded / match (5)1.60

History: 101 verified matches

6. Market signals for Queens Park Rangers

MarketAverage probabilityReliabilityVolumeReading
Double chance 1271.0%71.4%28Robust signal
Double chance 1X69.3%66.7%27Confirmed signal
Double chance X263.5%66.7%24Confirmed signal
Both teams to score53.1%60.0%15Recurring signal

7. Model dynamics & analysis

Foresportia Elo trendTracks the team’s relative level as matches are played.
Queens Park Rangers
Average model confidenceShows how the model’s average certainty changes across matches.
Queens Park Rangers
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, Queens Park Rangers still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Queens Park Rangers still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is Queens Park Rangers vs Swansea City on . The leading 1X2 read currently points to “Away win” around 39%.

AI verdictStrong predictive reliability

Correct and above: 68.4% success across 19 verified 1X2 predictions.

Verify the complete history →

Continue exploring

Upcoming matches, competition, other teams and verifiable history.

9. Queens Park Rangers FAQ

What is the next match for Queens Park Rangers on Foresportia?

This page shows Queens Park Rangers's confirmed next match with the enriched prediction probabilities that are currently available.

How should you read Queens Park Rangers's ranking and Elo?

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

What does the strongest picks block mean for Queens Park Rangers?

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

Queens Park Rangers: AI analysis, predictions and Foresportia signals

For Foresportia, Queens Park Rangers still requires a more cautious read tied to recent form and match context. This page also tracks ranking, Elo evolution, goal trends and the market signals Foresportia finds most useful.

Queens Park Rangers still needs to be read through recent form, Elo and its advanced production indicators.

The next detected match is Queens Park Rangers vs Swansea City on . The leading 1X2 read currently points to “Away win” around 39%.