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 | 9 | 25 Sep 2021 → 26 Nov 2021 | ▸ matches |
| 2 | 9 | 28 Jun 2020 → 18 Sep 2020 | ▸ matches |
| 3 | 9 | 05 Nov 2017 → 04 Mar 2018 | ▸ matches |
| 4 | 8 | 01 Sep 2018 → 04 Oct 2018 | ▸ matches |
| 5 | 8 | 30 Jul 2017 → 20 Sep 2017 | ▸ matches |
| 6 | 7 | 01 Aug 2021 → 18 Sep 2021 | ▸ matches |
| 7 | 7 | 14 Dec 2019 → 14 Mar 2020 | ▸ matches |
| 8 | 7 | 03 Apr 2019 → 18 May 2019 | ▸ matches |
| 9 | 7 | 18 Mar 2018 → 27 Apr 2018 | ▸ matches |
| 10 | 6 | 27 Nov 2020 → 20 Feb 2021 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Premier League | 140 | 35 | 25.0% | 1 | 15 |
| Ukrainian Cup | 74 | 10 | 13.5% | 1 | 5 |
| UEFA Europa League | 10 | 3 | 30.0% | 1 | 3 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2021 | 33 | 7 | 21.2% | 9 |
| 2020 | 31 | 7 | 22.6% | 9 |
| 2019 | 36 | 12 | 33.3% | 7 |
| 2018 | 37 | 8 | 21.6% | 8 |
| 2017 | 22 | 5 | 22.7% | 8 |
| 2016 | 4 | 3 | 75.0% | 1 |
| 2015 | 1 | 0 | 0.0% | 1 |
| 2014 | 3 | 0 | 0.0% | 3 |
| 2013 | 1 | 0 | 0.0% | 1 |
| 2012 | 2 | 0 | 0.0% | 2 |
| 2011 | 1 | 0 | 0.0% | 1 |
| 2010 | 1 | 0 | 0.0% | 1 |
| 2009 | 2 | 0 | 0.0% | 2 |
| 2008 | 1 | 0 | 0.0% | 1 |
| 2007 | 2 | 0 | 0.0% | 2 |
| 2006 | 7 | 2 | 28.6% | 3 |
| 2005 | 4 | 0 | 0.0% | 4 |
| 2004 | 7 | 1 | 14.3% | 4 |
| 2003 | 5 | 0 | 0.0% | 5 |
| 2002 | 1 | 0 | 0.0% | 1 |
| 2001 | 3 | 0 | 0.0% | 2 |
| 2000 | 4 | 0 | 0.0% | 3 |
| 1998 | 6 | 1 | 16.7% | 2 |
| 1997 | 2 | 0 | 0.0% | 2 |
| 1996 | 3 | 0 | 0.0% | 3 |
| 1995 | 1 | 0 | 0.0% | 1 |
| 1994 | 2 | 1 | 50.0% | 1 |
| 1992 | 2 | 1 | 50.0% | 1 |
Over 164 matches (Aug 2015 – Dec 2021), Mariupol drew 42 where the draw model expected 41.4 from those particular fixtures — about 1 more, or 0.1 standard errors, which is what the model expected, near enough.
A flat league average would have expected 40.6 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.