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 | 14 | 12 Apr 2025 → 19 Jul 2025 | ▸ matches |
| 2 | 14 | 19 Jun 2016 → 20 Aug 2016 | ▸ matches |
| 3 | 13 | 20 Jun 2026 → 06 Sep 2026 | ▸ matches |
| 4 | 11 | 22 Jul 2024 → 18 Oct 2024 | ▸ matches |
| 5 | 9 | 14 Jun 2019 → 27 Jul 2019 | ▸ matches |
| 6 | 9 | 23 Aug 2015 → 31 Oct 2015 | ▸ matches |
| 7 | 8 | 04 Nov 2023 → 09 Apr 2024 | ▸ matches |
| 8 | 8 | 04 Jun 2023 → 17 Jul 2023 | ▸ matches |
| 9 | 8 | 07 Nov 2022 → 09 Dec 2022 | ▸ matches |
| 10 | 8 | 26 Sep 2019 → 06 Dec 2019 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 375 | 101 | 26.9% | 14 | 14 |
| Chinese FA Cup | 115 | 22 | 19.1% | 2 | 6 |
| Club Friendlies | 2 | 2 | 100.0% | 0 | 0 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 32 | 6 | 18.8% | 13 |
| 2025 | 33 | 8 | 24.2% | 14 |
| 2024 | 34 | 6 | 17.7% | 11 |
| 2023 | 38 | 7 | 18.4% | 8 |
| 2022 | 36 | 11 | 30.6% | 8 |
| 2021 | 27 | 9 | 33.3% | 7 |
| 2020 | 21 | 9 | 42.9% | 4 |
| 2019 | 36 | 8 | 22.2% | 9 |
| 2018 | 31 | 8 | 25.8% | 7 |
| 2017 | 38 | 9 | 23.7% | 6 |
| 2016 | 36 | 12 | 33.3% | 14 |
| 2015 | 37 | 9 | 24.3% | 9 |
| 2014 | 35 | 11 | 31.4% | 5 |
| 2013 | 1 | 0 | 0.0% | 1 |
| 2012 | 2 | 2 | 100.0% | 0 |
| 2011 | 2 | 0 | 0.0% | 2 |
| 2006 | 3 | 0 | 0.0% | 3 |
| 2005 | 4 | 2 | 50.0% | 2 |
| 2004 | 7 | 2 | 28.6% | 5 |
| 2003 | 4 | 0 | 0.0% | 3 |
| 2002 | 2 | 0 | 0.0% | 2 |
| 2001 | 1 | 1 | 100.0% | 0 |
| 2000 | 1 | 0 | 0.0% | 1 |
| 1999 | 6 | 0 | 0.0% | 6 |
| 1998 | 7 | 1 | 14.3% | 4 |
| 1997 | 7 | 3 | 42.9% | 3 |
| 1996 | 4 | 0 | 0.0% | 4 |
| 1995 | 7 | 1 | 14.3% | 5 |
Over 399 matches (Mar 2015 – Oct 2026), Shanghai Shenhua drew 102 where the draw model expected 95.9 from those particular fixtures — about 6 more, or 0.7 standard errors, which is what the model expected, near enough.
A flat league average would have expected 98.7 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.