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 4 Nov 2026.
| # | Run | From → To | |
|---|---|---|---|
| 1 | 23 | 31 Mar 2024 → 11 Aug 2024 | ▸ matches |
| 2 | 9 | 30 May 2015 → 15 Jul 2015 | ▸ matches |
| 3 | 9 | 03 Aug 2014 → 05 Oct 2014 | ▸ matches |
| 4 | 7 | 22 Jun 2025 → 10 Aug 2025 | ▸ matches |
| 5 | 7 | 11 Jun 2016 → 10 Jul 2016 | ▸ matches |
| 6 | 6 | 29 Aug 2026 → 24 Oct 2026 | ▸ matches |
| 7 | 6 | 19 Dec 2022 → 08 Jan 2023 | ▸ matches |
| 8 | 6 | 18 Nov 2022 → 10 Dec 2022 | ▸ matches |
| 9 | 6 | 31 Oct 2015 → 17 Apr 2016 | ▸ matches |
| 10 | 6 | 15 Mar 2014 → 20 Apr 2014 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 247 | 68 | 27.5% | 6 | 21 |
| Chinese FA Cup | 54 | 12 | 22.2% | 0 | 6 |
| Club Friendlies | 1 | 1 | 100.0% | 0 | 0 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 8 | 25.8% | 6 |
| 2025 | 32 | 12 | 37.5% | 7 |
| 2024 | 32 | 5 | 15.6% | 23 |
| 2023 | 36 | 8 | 22.2% | 5 |
| 2022 | 38 | 12 | 31.6% | 6 |
| 2021 | 2 | 1 | 50.0% | 1 |
| 2020 | 3 | 1 | 33.3% | 2 |
| 2019 | 2 | 0 | 0.0% | 2 |
| 2018 | 1 | 0 | 0.0% | 1 |
| 2017 | 3 | 1 | 33.3% | 2 |
| 2016 | 32 | 8 | 25.0% | 7 |
| 2015 | 32 | 10 | 31.3% | 9 |
| 2014 | 32 | 10 | 31.3% | 9 |
| 2013 | 3 | 1 | 33.3% | 2 |
| 2012 | 3 | 0 | 0.0% | 3 |
| 2011 | 1 | 0 | 0.0% | 1 |
| 2006 | 6 | 0 | 0.0% | 6 |
| 2005 | 3 | 3 | 100.0% | 0 |
| 2004 | 1 | 0 | 0.0% | 1 |
| 2003 | 3 | 1 | 33.3% | 1 |
| 2002 | 5 | 0 | 0.0% | 5 |
| 2001 | 1 | 0 | 0.0% | 1 |
Over 244 matches (Mar 2015 – Oct 2026), Zhejiang Professional drew 66 where the draw model expected 60.2 from those particular fixtures — about 6 more, or 0.9 standard errors, which is what the model expected, near enough.
A flat league average would have expected 60.7 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.