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 | 17 | 15 Jun 2016 → 25 Sep 2016 | ▸ matches |
| 2 | 10 | 01 Mar 2025 → 11 May 2025 | ▸ matches |
| 3 | 10 | 10 Sep 2017 → 18 Mar 2018 | ▸ matches |
| 4 | 9 | 09 May 2026 → 17 Jul 2026 | ▸ matches |
| 5 | 9 | 04 Oct 2022 → 22 Nov 2022 | ▸ matches |
| 6 | 9 | 30 Aug 2020 → 18 Oct 2020 | ▸ matches |
| 7 | 9 | 15 Sep 2018 → 11 Nov 2018 | ▸ matches |
| 8 | 8 | 24 Jun 2022 → 17 Aug 2022 | ▸ matches |
| 9 | 8 | 31 Mar 2019 → 17 May 2019 | ▸ matches |
| 10 | 7 | 10 Aug 2024 → 18 Oct 2024 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Super League | 375 | 106 | 28.3% | 2 | 14 |
| Chinese FA Cup | 63 | 18 | 28.6% | 0 | 3 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 11 | 35.5% | 9 |
| 2025 | 35 | 9 | 25.7% | 10 |
| 2024 | 33 | 9 | 27.3% | 7 |
| 2023 | 32 | 10 | 31.3% | 7 |
| 2022 | 36 | 8 | 22.2% | 9 |
| 2021 | 27 | 11 | 40.7% | 5 |
| 2020 | 21 | 6 | 28.6% | 9 |
| 2019 | 31 | 8 | 25.8% | 8 |
| 2018 | 31 | 4 | 12.9% | 9 |
| 2017 | 32 | 9 | 28.1% | 7 |
| 2016 | 34 | 6 | 17.7% | 17 |
| 2015 | 33 | 11 | 33.3% | 6 |
| 2014 | 33 | 13 | 39.4% | 4 |
| 2013 | 2 | 0 | 0.0% | 2 |
| 2012 | 2 | 0 | 0.0% | 2 |
| 2011 | 3 | 2 | 66.7% | 1 |
| 2006 | 2 | 1 | 50.0% | 1 |
| 2005 | 3 | 0 | 0.0% | 3 |
| 2004 | 3 | 1 | 33.3% | 1 |
| 2003 | 5 | 1 | 20.0% | 2 |
| 2001 | 2 | 0 | 0.0% | 2 |
| 2000 | 1 | 1 | 100.0% | 0 |
| 1998 | 2 | 1 | 50.0% | 1 |
| 1997 | 2 | 1 | 50.0% | 1 |
| 1996 | 2 | 1 | 50.0% | 1 |
Over 376 matches (Mar 2015 – Oct 2026), Henan Songshan Longmen drew 102 where the draw model expected 95.6 from those particular fixtures — about 6 more, or 0.8 standard errors, which is what the model expected, near enough.
A flat league average would have expected 94.0 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.