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 | 16 | 10 Dec 2016 → 26 Jul 2017 | ▸ matches |
| 2 | 10 | 16 Aug 2015 → 28 Oct 2015 | ▸ matches |
| 3 | 10 | 10 Aug 2002 → 28 Oct 2003 | ▸ matches |
| 4 | 7 | 15 Oct 2016 → 26 Nov 2016 | ▸ matches |
| 5 | 5 | 06 Aug 2016 → 11 Sep 2016 | ▸ matches |
| 6 | 5 | 14 Aug 2004 → 19 Nov 2004 | ▸ matches |
| 7 | 5 | 11 Nov 1992 → 29 Mar 1993 | ▸ matches |
| 8 | 4 | 08 Nov 2015 → 05 Dec 2015 | ▸ matches |
| 9 | 4 | 22 Sep 1998 → 06 Oct 1998 | ▸ matches |
| 10 | 4 | 20 Oct 1993 → 05 Dec 1993 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Ukrainian Cup | 90 | 20 | 22.2% | 0 | 10 |
| Premier League | 58 | 12 | 20.7% | 15 | 15 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2021 | 3 | 3 | 100.0% | 0 |
| 2020 | 1 | 0 | 0.0% | 1 |
| 2019 | 2 | 1 | 50.0% | 1 |
| 2018 | 2 | 1 | 50.0% | 1 |
| 2017 | 15 | 0 | 0.0% | 15 |
| 2016 | 32 | 10 | 31.3% | 7 |
| 2015 | 19 | 3 | 15.8% | 10 |
| 2014 | 3 | 0 | 0.0% | 3 |
| 2013 | 2 | 1 | 50.0% | 1 |
| 2012 | 3 | 2 | 66.7% | 1 |
| 2011 | 2 | 1 | 50.0% | 1 |
| 2010 | 3 | 0 | 0.0% | 2 |
| 2009 | 4 | 2 | 50.0% | 1 |
| 2008 | 1 | 0 | 0.0% | 1 |
| 2007 | 1 | 1 | 100.0% | 0 |
| 2006 | 2 | 0 | 0.0% | 2 |
| 2005 | 2 | 0 | 0.0% | 2 |
| 2004 | 5 | 0 | 0.0% | 5 |
| 2003 | 5 | 0 | 0.0% | 5 |
| 2002 | 5 | 0 | 0.0% | 5 |
| 2001 | 6 | 2 | 33.3% | 2 |
| 2000 | 2 | 0 | 0.0% | 1 |
| 1998 | 6 | 2 | 33.3% | 4 |
| 1997 | 2 | 1 | 50.0% | 1 |
| 1996 | 5 | 0 | 0.0% | 3 |
| 1994 | 2 | 0 | 0.0% | 2 |
| 1993 | 8 | 1 | 12.5% | 4 |
| 1992 | 5 | 1 | 20.0% | 3 |
Over 148 matches (Feb 1992 – Sep 2021), Volyn Lutsk drew 32 where the draw model expected 34.8 from those particular fixtures — about 3 fewer, or 0.6 standard errors, which is what the model expected, near enough.
A flat league average would have expected 31.8 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.