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 | 24 | 30 Mar 2018 → 15 Sep 2018 | ▸ matches |
| 2 | 18 | 22 Oct 2016 → 04 Jun 2017 | ▸ matches |
| 3 | 14 | 25 May 2022 → 14 Aug 2022 | ▸ matches |
| 4 | 11 | 17 Nov 2012 → 30 Mar 2013 | ▸ matches |
| 5 | 10 | 08 Aug 2026 → 17 Oct 2026 | ▸ matches |
| 6 | 10 | 26 May 2021 → 09 Aug 2021 | ▸ matches |
| 7 | 10 | 25 Aug 2012 → 27 Oct 2012 | ▸ matches |
| 8 | 9 | 17 Jul 2016 → 10 Sep 2016 | ▸ matches |
| 9 | 8 | 16 Dec 2020 → 21 Mar 2021 | ▸ matches |
| 10 | 8 | 22 Feb 2020 → 01 Aug 2020 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| J1 League | 466 | 116 | 24.9% | 1 | 22 |
| Emperor's Cup | 67 | 20 | 29.8% | 0 | 6 |
| FIFA Club World Cup | 4 | 2 | 50.0% | 0 | 1 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 12 | 1 | 8.3% | 10 |
| 2025 | 39 | 13 | 33.3% | 7 |
| 2024 | 41 | 15 | 36.6% | 5 |
| 2023 | 40 | 16 | 40.0% | 7 |
| 2022 | 37 | 8 | 21.6% | 14 |
| 2021 | 40 | 5 | 12.5% | 10 |
| 2020 | 34 | 7 | 20.6% | 8 |
| 2019 | 2 | 1 | 50.0% | 1 |
| 2018 | 36 | 3 | 8.3% | 24 |
| 2017 | 39 | 9 | 23.1% | 14 |
| 2016 | 37 | 10 | 27.0% | 9 |
| 2015 | 37 | 12 | 32.4% | 8 |
| 2014 | 36 | 10 | 27.8% | 7 |
| 2013 | 38 | 9 | 23.7% | 7 |
| 2012 | 39 | 7 | 18.0% | 10 |
| 2011 | 7 | 3 | 42.9% | 3 |
| 2010 | 3 | 2 | 66.7% | 1 |
| 2009 | 3 | 2 | 66.7% | 1 |
| 2008 | 4 | 1 | 25.0% | 2 |
| 2007 | 1 | 1 | 100.0% | 0 |
| 2006 | 2 | 1 | 50.0% | 1 |
| 2005 | 2 | 1 | 50.0% | 1 |
| 2003 | 1 | 0 | 0.0% | 1 |
| 1999 | 1 | 0 | 0.0% | 1 |
| 1964 | 3 | 1 | 33.3% | 2 |
| 1961 | 2 | 0 | 0.0% | 2 |
| 1960 | 1 | 0 | 0.0% | 1 |
Over 394 matches (Mar 2015 – Oct 2026), Kashiwa Reysol drew 100 where the draw model expected 102.6 from those particular fixtures — about 3 fewer, or 0.3 standard errors, which is what the model expected, near enough.
A flat league average would have expected 96.4 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.