What this team's results have earned: every match in the database is replayed in date order, both sides start at 1500 and the winner takes points from the loser. The rating is the one it held after its last rated match, and the rank counts every club ever rated, sides that no longer play included. A measure of strength, not a forecast of the next result. Computed 3 Nov 2026.
| # | Run | From → To | |
|---|---|---|---|
| 1 | 29 | 20 May 2018 → 04 May 2019 | ▸ matches |
| 2 | 19 | 23 Nov 2013 → 18 May 2014 | ▸ matches |
| 3 | 16 | 16 Apr 2017 → 19 Jul 2017 | ▸ matches |
| 4 | 15 | 17 May 2019 → 11 Aug 2019 | ▸ matches |
| 5 | 15 | 31 Oct 2015 → 21 May 2016 | ▸ matches |
| 6 | 14 | 24 Jul 2014 → 26 Oct 2014 | ▸ matches |
| 7 | 13 | 03 Jun 2022 → 21 Aug 2022 | ▸ matches |
| 8 | 10 | 30 Aug 2020 → 21 Oct 2020 | ▸ matches |
| 9 | 10 | 30 Sep 2017 → 08 Apr 2018 | ▸ matches |
| 10 | 9 | 24 Jun 2016 → 30 Jul 2016 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 256 | 47 | 18.4% | 4 | 28 |
| Chinese FA Cup | 72 | 17 | 23.6% | 0 | 6 |
| FIFA Club World Cup | 6 | 0 | 0.0% | 3 | 3 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2024 | 1 | 1 | 100.0% | 0 |
| 2023 | 2 | 1 | 50.0% | 1 |
| 2022 | 38 | 8 | 21.1% | 13 |
| 2021 | 21 | 5 | 23.8% | 8 |
| 2020 | 22 | 3 | 13.6% | 10 |
| 2019 | 33 | 3 | 9.1% | 15 |
| 2018 | 32 | 4 | 12.5% | 20 |
| 2017 | 36 | 4 | 11.1% | 16 |
| 2016 | 38 | 10 | 26.3% | 11 |
| 2015 | 34 | 10 | 29.4% | 5 |
| 2014 | 32 | 4 | 12.5% | 14 |
| 2013 | 9 | 1 | 11.1% | 7 |
| 2012 | 6 | 2 | 33.3% | 3 |
| 2011 | 2 | 1 | 50.0% | 1 |
| 2006 | 2 | 0 | 0.0% | 2 |
| 2005 | 3 | 0 | 0.0% | 3 |
| 2004 | 1 | 0 | 0.0% | 1 |
| 2003 | 3 | 1 | 33.3% | 2 |
| 2002 | 1 | 0 | 0.0% | 1 |
| 2001 | 1 | 0 | 0.0% | 1 |
| 2000 | 1 | 0 | 0.0% | 1 |
| 1999 | 4 | 2 | 50.0% | 1 |
| 1998 | 2 | 0 | 0.0% | 2 |
| 1997 | 4 | 2 | 50.0% | 2 |
| 1996 | 4 | 2 | 50.0% | 2 |
| 1995 | 2 | 0 | 0.0% | 2 |
Over 257 matches (Mar 2015 – May 2024), Guangzhou FC drew 49 where the draw model expected 54.6 from those particular fixtures — about 6 fewer, or 0.9 standard errors, which is what the model expected, near enough.
A flat league average would have expected 63.7 instead — "more draws than the league" and "more draws than these fixtures deserved" are different claims. These matches were part of the model's own training set, so its chances were fitted already knowing the results.