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 | 05 Jul 2023 → 21 Oct 2023 | ▸ matches |
| 2 | 11 | 10 Apr 2021 → 24 Jun 2021 | ▸ matches |
| 3 | 8 | 17 May 2013 → 16 Jun 2013 | ▸ matches |
| 4 | 7 | 28 Jan 2017 → 18 Mar 2017 | ▸ matches |
| 5 | 7 | 24 Jun 2013 → 28 Jul 2013 | ▸ matches |
| 6 | 7 | 05 May 2012 → 27 May 2012 | ▸ matches |
| 7 | 6 | 19 Aug 2019 → 28 Sep 2019 | ▸ matches |
| 8 | 6 | 06 Oct 2018 → 19 Feb 2019 | ▸ matches |
| 9 | 6 | 23 Jun 2014 → 20 Jul 2014 | ▸ matches |
| 10 | 6 | 28 Apr 2005 → 25 Oct 2005 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Veikkausliiga | 270 | 76 | 28.2% | 3 | 12 |
| Finnish Cup | 82 | 18 | 22.0% | 1 | 7 |
| UEFA Europa League | 20 | 3 | 15.0% | 2 | 4 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2025 | 1 | 0 | 0.0% | 1 |
| 2024 | 2 | 0 | 0.0% | 2 |
| 2023 | 36 | 7 | 19.4% | 15 |
| 2022 | 28 | 8 | 28.6% | 5 |
| 2021 | 30 | 7 | 23.3% | 11 |
| 2020 | 24 | 10 | 41.7% | 4 |
| 2019 | 36 | 7 | 19.4% | 6 |
| 2018 | 35 | 13 | 37.1% | 4 |
| 2017 | 10 | 3 | 30.0% | 7 |
| 2016 | 4 | 2 | 50.0% | 1 |
| 2015 | 3 | 0 | 0.0% | 3 |
| 2014 | 37 | 13 | 35.1% | 6 |
| 2013 | 39 | 7 | 18.0% | 8 |
| 2012 | 38 | 8 | 21.1% | 7 |
| 2011 | 5 | 1 | 20.0% | 3 |
| 2010 | 4 | 1 | 25.0% | 2 |
| 2009 | 8 | 2 | 25.0% | 4 |
| 2008 | 11 | 3 | 27.3% | 4 |
| 2007 | 5 | 3 | 60.0% | 1 |
| 2006 | 4 | 2 | 50.0% | 2 |
| 2005 | 6 | 0 | 0.0% | 6 |
| 2004 | 2 | 0 | 0.0% | 2 |
| 2002 | 2 | 0 | 0.0% | 2 |
| 1999 | 1 | 0 | 0.0% | 1 |
| 1969 | 1 | 0 | 0.0% | 1 |
Over 209 matches (Mar 2015 – Apr 2025), Honka drew 57 where the draw model expected 52.6 from those particular fixtures — about 4 more, or 0.7 standard errors, which is what the model expected, near enough.
A flat league average would have expected 49.1 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.