J MossvsChelsea
Analysis based on 29 matches since 2000
* Note: Detailed card statistics for matches before 2005 may be incomplete.
When J Moss officiates Chelsea matches, the statistics reveal a significantly positive pattern. Based on 29 matches spanning multiple seasons, our comprehensive analysis shows Chelsea achieves a 65.5% win rate under J Moss, compared to the 45% baseline expected for teams at this level. This positive 20.5 percentage point difference suggests a meaningful pattern worth examining. The data includes detailed card statistics, match outcomes, and historical trends to provide football fans, bettors, and analysts with evidence-based insights into this referee-team dynamic.
β FAVORABLE RECORD
This team has an above-average win rate when this referee officiates.
Favorable Pattern Detected
With a bias score of +20.5%, Chelsea has historically performed 21 percentage points better under J Moss than their average. This favorable pattern across 29 matches could be valuable information for match predictions and betting strategies.
The Bias Meterβ’
Match History
29 matches under this referee
| Date | Opponent | Score | Result | Cards | Division |
|---|---|---|---|---|---|
| 20 Apr 2022 | Arsenal(H) | 2 - 4 | LOSS | Chelsea: π¨ 3 Arsenal: π¨ 1 | Premier League |
| 14 Aug 2021 | Crystal Palace(H) | 3 - 0 | WIN | Chelsea: β Crystal Palace: β | Premier League |
| 12 Dec 2020 | Everton(A) | 0 - 1 | LOSS | Chelsea: π¨ 3 Everton: π¨ 2 | Premier League |
| 7 Nov 2020 | Sheffield United(H) | 4 - 1 | WIN | Chelsea: β Sheffield United: π¨ 2 | Premier League |
| 26 Sept 2020 | West Brom(A) | 3 - 3 | DRAW | Chelsea: π¨ 3 West Brom: π¨ 1 | Premier League |
| 14 Jul 2020 | Norwich(H) | 1 - 0 | WIN | Chelsea: π¨ 2 Norwich: π¨ 2 | Premier League |
| 26 Dec 2019 | Southampton(H) | 0 - 2 | LOSS | Chelsea: π¨ 3 Southampton: π¨ 2 | Premier League |
| 30 Nov 2019 | West Ham(H) | 0 - 1 | LOSS | Chelsea: β West Ham: π¨ 3 | Premier League |
| 2 Jan 2019 | Southampton(H) | 0 - 0 | DRAW | Chelsea: π¨ 1 Southampton: π¨ 2 | Premier League |
| 5 Dec 2018 | Wolves(A) | 1 - 2 | LOSS | Chelsea: π¨ 4 Wolves: π¨ 4 | Premier League |
| 15 Sept 2018 | Cardiff(H) | 4 - 1 | WIN | Chelsea: β Cardiff: β | Premier League |
| 28 Apr 2018 | Swansea(A) | 1 - 0 | WIN | Chelsea: π¨ 1 Swansea: π¨ 1 | Premier League |
| 20 Jan 2018 | Brighton(A) | 4 - 0 | WIN | Chelsea: β Brighton: π¨ 3 | Premier League |
| 18 Nov 2017 | West Brom(A) | 4 - 0 | WIN | Chelsea: π¨ 3 West Brom: π¨ 2 | Premier League |
| 21 Oct 2017 | Watford(H) | 4 - 2 | WIN | Chelsea: π¨ 2 Watford: π¨ 3 | Premier League |
| 27 Aug 2017 | Everton(H) | 2 - 0 | WIN | Chelsea: π¨ 2 Everton: π¨ 2 | Premier League |
| 30 Apr 2017 | Everton(A) | 3 - 0 | WIN | Chelsea: π¨ 4 Everton: π¨ 3 | Premier League |
| 17 Dec 2016 | Crystal Palace(A) | 1 - 0 | WIN | Chelsea: π¨ 3 Crystal Palace: π¨ 2 | Premier League |
| 20 Nov 2016 | Middlesbrough(A) | 1 - 0 | WIN | Chelsea: π¨ 3 Middlesbrough: π¨ 2 | Premier League |
| 20 Aug 2016 | Watford(A) | 2 - 1 | WIN | Chelsea: π¨ 3 Watford: π¨ 4 | Premier League |
| 24 Oct 2015 | West Ham(A) | 1 - 2 | LOSS | Chelsea: π¨ 5π₯ 1 West Ham: π¨ 1 | Premier League |
| 4 Apr 2015 | Stoke(H) | 2 - 1 | WIN | Chelsea: π¨ 1 Stoke: π¨ 6 | Premier League |
| 11 Feb 2015 | Everton(H) | 1 - 0 | WIN | Chelsea: π¨ 3 Everton: π¨ 3π₯ 1 | Premier League |
| 17 Jan 2015 | Swansea(A) | 5 - 0 | WIN | Chelsea: β Swansea: β | Premier League |
| 30 Aug 2014 | Everton(A) | 6 - 3 | WIN | Chelsea: π¨ 3 Everton: π¨ 1 | Premier League |
| 7 Dec 2013 | Stoke(A) | 2 - 3 | LOSS | Chelsea: π¨ 1 Stoke: π¨ 4 | Premier League |
| 18 Aug 2013 | Hull(H) | 2 - 0 | WIN | Chelsea: β Hull: π¨ 1 | Premier League |
| 30 Mar 2013 | Southampton(A) | 1 - 2 | LOSS | Chelsea: π¨ 1 Southampton: π¨ 2 | Premier League |
| 26 Dec 2012 | Norwich(A) | 1 - 0 | WIN | Chelsea: π¨ 1 Norwich: π¨ 1 | Premier League |
When J Moss officiates Chelsea matches, the statistics reveal a significantly positive pattern. Based on 29 matches spanning multiple seasons, our comprehensive analysis shows Chelsea achieves a 65.5% win rate under J Moss, compared to the 45% baseline expected for teams at this level. This positive 20.5 percentage point difference suggests a meaningful pattern worth examining. The data includes detailed card statistics, match outcomes, and historical trends to provide football fans, bettors, and analysts with evidence-based insights into this referee-team dynamic.
Frequently Asked Questions
Detailed Statistics
Cards for Chelsea
Cards for Opponents
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