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 | 13 | 14 Jul 2026 → 24 Oct 2026 | ▸ matches |
| 2 | 9 | 22 Apr 2026 → 30 May 2026 | ▸ matches |
| 3 | 9 | 13 Jun 2025 → 09 Aug 2025 | ▸ matches |
| 4 | 8 | 12 Jul 2023 → 12 Aug 2023 | ▸ matches |
| 5 | 6 | 17 Jul 2024 → 17 Aug 2024 | ▸ matches |
| 6 | 6 | 26 Aug 2023 → 22 Oct 2023 | ▸ matches |
| 7 | 5 | 22 Sep 2024 → 02 Nov 2024 | ▸ matches |
| 8 | 5 | 14 Apr 2024 → 05 May 2024 | ▸ matches |
| 9 | 5 | 07 Nov 2023 → 05 Apr 2024 | ▸ matches |
| 10 | 5 | 25 Apr 2023 → 14 May 2023 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 119 | 25 | 21.0% | 12 | 12 |
| Chinese FA Cup | 76 | 18 | 23.7% | 1 | 5 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 4 | 12.9% | 13 |
| 2025 | 33 | 11 | 33.3% | 9 |
| 2024 | 32 | 6 | 18.8% | 6 |
| 2023 | 34 | 8 | 23.5% | 8 |
| 2022 | 2 | 1 | 50.0% | 1 |
| 2021 | 1 | 0 | 0.0% | 1 |
| 2019 | 4 | 1 | 25.0% | 3 |
| 2018 | 2 | 0 | 0.0% | 2 |
| 2017 | 2 | 0 | 0.0% | 2 |
| 2016 | 2 | 0 | 0.0% | 2 |
| 2015 | 3 | 1 | 33.3% | 2 |
| 2014 | 4 | 1 | 25.0% | 2 |
| 2013 | 3 | 1 | 33.3% | 1 |
| 2012 | 2 | 0 | 0.0% | 2 |
| 2011 | 1 | 1 | 100.0% | 0 |
| 2006 | 1 | 0 | 0.0% | 1 |
| 2005 | 1 | 1 | 100.0% | 0 |
| 2004 | 5 | 2 | 40.0% | 2 |
| 2003 | 4 | 1 | 25.0% | 3 |
| 2002 | 6 | 2 | 33.3% | 2 |
| 2001 | 4 | 1 | 25.0% | 3 |
| 2000 | 1 | 0 | 0.0% | 1 |
| 1999 | 4 | 0 | 0.0% | 4 |
| 1998 | 3 | 0 | 0.0% | 3 |
| 1997 | 4 | 1 | 25.0% | 2 |
| 1996 | 4 | 0 | 0.0% | 4 |
| 1995 | 2 | 0 | 0.0% | 2 |
Over 146 matches (Apr 2015 – Oct 2026), Qingdao Hainiu drew 32 where the draw model expected 34.8 from those particular fixtures — about 3 fewer, or 0.6 standard errors, which is what the model expected, near enough.
A flat league average would have expected 35.7 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.