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 | 19 | 21 Jul 2021 → 26 Dec 2021 | ▸ matches |
| 2 | 16 | 03 Jun 2022 → 31 Aug 2022 | ▸ matches |
| 3 | 13 | 20 Oct 2017 → 02 May 2018 | ▸ matches |
| 4 | 10 | 15 Dec 2022 → 16 Apr 2023 | ▸ matches |
| 5 | 9 | 24 Oct 2022 → 30 Nov 2022 | ▸ matches |
| 6 | 9 | 14 Apr 2019 → 29 May 2019 | ▸ matches |
| 7 | 9 | 11 Aug 2018 → 25 Sep 2018 | ▸ matches |
| 8 | 9 | 09 Nov 2014 → 26 Apr 2015 | ▸ matches |
| 9 | 9 | 28 Mar 2014 → 10 May 2014 | ▸ matches |
| 10 | 9 | 02 Oct 2005 → 18 Nov 2006 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 375 | 94 | 25.1% | 2 | 16 |
| Chinese FA Cup | 143 | 32 | 22.4% | 0 | 9 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 6 | 19.4% | 6 |
| 2025 | 32 | 8 | 25.0% | 8 |
| 2024 | 35 | 9 | 25.7% | 8 |
| 2023 | 39 | 11 | 28.2% | 8 |
| 2022 | 38 | 5 | 13.2% | 16 |
| 2021 | 26 | 4 | 15.4% | 19 |
| 2020 | 26 | 7 | 26.9% | 7 |
| 2019 | 36 | 7 | 19.4% | 9 |
| 2018 | 38 | 10 | 26.3% | 10 |
| 2017 | 34 | 11 | 32.4% | 5 |
| 2016 | 32 | 7 | 21.9% | 5 |
| 2015 | 35 | 6 | 17.1% | 7 |
| 2014 | 37 | 13 | 35.1% | 9 |
| 2013 | 2 | 0 | 0.0% | 2 |
| 2012 | 5 | 3 | 60.0% | 1 |
| 2011 | 3 | 2 | 66.7% | 1 |
| 2006 | 6 | 0 | 0.0% | 6 |
| 2005 | 7 | 1 | 14.3% | 3 |
| 2004 | 8 | 2 | 25.0% | 5 |
| 2003 | 5 | 2 | 40.0% | 2 |
| 2002 | 1 | 0 | 0.0% | 1 |
| 2001 | 5 | 1 | 20.0% | 4 |
| 2000 | 5 | 1 | 20.0% | 2 |
| 1999 | 8 | 4 | 50.0% | 2 |
| 1998 | 6 | 2 | 33.3% | 4 |
| 1997 | 4 | 4 | 100.0% | 0 |
| 1996 | 7 | 0 | 0.0% | 7 |
| 1995 | 7 | 0 | 0.0% | 7 |
Over 402 matches (Mar 2015 – Oct 2026), Shandong Taishan drew 91 where the draw model expected 91.0 from those particular fixtures — about 0 more, or 0.0 standard errors, which is what the model expected, near enough.
A flat league average would have expected 99.2 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.