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 | 15 | 16 Aug 2015 → 06 Dec 2015 | ▸ matches |
| 2 | 14 | 04 Apr 2015 → 03 Aug 2015 | ▸ matches |
| 3 | 11 | 12 May 2017 → 27 Aug 2017 | ▸ matches |
| 4 | 10 | 22 Nov 2024 → 13 Apr 2025 | ▸ matches |
| 5 | 10 | 02 Aug 2021 → 03 Oct 2021 | ▸ matches |
| 6 | 9 | 16 May 2025 → 31 Aug 2025 | ▸ matches |
| 7 | 9 | 09 Sep 2018 → 20 Oct 2018 | ▸ matches |
| 8 | 8 | 29 Jul 2018 → 26 Aug 2018 | ▸ matches |
| 9 | 8 | 06 Dec 2013 → 31 Mar 2014 | ▸ matches |
| 10 | 8 | 15 Jul 2008 → 28 Sep 2008 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Superliga | 480 | 125 | 26.0% | 0 | 22 |
| Danish Cup | 51 | 11 | 21.6% | 2 | 7 |
| UEFA Europa League | 22 | 2 | 9.1% | 6 | 6 |
| Club Friendlies | 14 | 4 | 28.6% | 4 | 4 |
| UEFA Conference League | 8 | 3 | 37.5% | 0 | 3 |
| UEFA Champions League | 6 | 1 | 16.7% | 3 | 3 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 39 | 15 | 38.5% | 6 |
| 2025 | 38 | 4 | 10.5% | 9 |
| 2024 | 36 | 10 | 27.8% | 6 |
| 2023 | 47 | 13 | 27.7% | 7 |
| 2022 | 35 | 13 | 37.1% | 4 |
| 2021 | 38 | 11 | 29.0% | 10 |
| 2020 | 31 | 8 | 25.8% | 5 |
| 2019 | 38 | 12 | 31.6% | 6 |
| 2018 | 46 | 11 | 23.9% | 9 |
| 2017 | 36 | 7 | 19.4% | 11 |
| 2016 | 38 | 11 | 29.0% | 7 |
| 2015 | 35 | 2 | 5.7% | 15 |
| 2014 | 35 | 8 | 22.9% | 7 |
| 2013 | 35 | 10 | 28.6% | 6 |
| 2012 | 26 | 6 | 23.1% | 6 |
| 2011 | 6 | 2 | 33.3% | 2 |
| 2010 | 5 | 2 | 40.0% | 3 |
| 2009 | 3 | 0 | 0.0% | 3 |
| 2008 | 10 | 1 | 10.0% | 8 |
| 2003 | 4 | 0 | 0.0% | 4 |
Over 457 matches (Feb 2015 – Oct 2026), FC Nordsjælland drew 117 where the draw model expected 112.4 from those particular fixtures — about 5 more, or 0.5 standard errors, which is what the model expected, near enough.
A flat league average would have expected 115.4 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.