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 | 19 | 20 Aug 2014 → 12 Apr 2015 | ▸ matches |
| 2 | 12 | 28 Apr 2016 → 05 Aug 2016 | ▸ matches |
| 3 | 10 | 12 Aug 2015 → 03 Oct 2015 | ▸ matches |
| 4 | 9 | 02 Mar 2013 → 27 Apr 2013 | ▸ matches |
| 5 | 7 | 03 May 2015 → 07 Jun 2015 | ▸ matches |
| 6 | 7 | 19 Aug 2013 → 14 Sep 2013 | ▸ matches |
| 7 | 6 | 26 Oct 2016 → 04 Mar 2017 | ▸ matches |
| 8 | 6 | 10 Apr 2012 → 10 May 2012 | ▸ matches |
| 9 | 5 | 26 Oct 2015 → 05 Mar 2016 | ▸ matches |
| 10 | 5 | 19 Jul 2014 → 13 Aug 2014 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Allsvenskan | 152 | 45 | 29.6% | 3 | 12 |
| Swedish Cup | 63 | 11 | 17.5% | 4 | 4 |
| UEFA Europa League | 12 | 1 | 8.3% | 6 | 6 |
| Club Friendlies | 1 | 0 | 0.0% | 1 | 1 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 1 | 0 | 0.0% | 1 |
| 2025 | 4 | 0 | 0.0% | 4 |
| 2024 | 4 | 0 | 0.0% | 3 |
| 2023 | 1 | 0 | 0.0% | 1 |
| 2018 | 4 | 1 | 25.0% | 2 |
| 2017 | 4 | 1 | 25.0% | 3 |
| 2016 | 34 | 9 | 26.5% | 12 |
| 2015 | 34 | 6 | 17.7% | 10 |
| 2014 | 36 | 10 | 27.8% | 13 |
| 2013 | 40 | 13 | 32.5% | 9 |
| 2012 | 31 | 10 | 32.3% | 6 |
| 2011 | 1 | 0 | 0.0% | 1 |
| 2010 | 7 | 1 | 14.3% | 4 |
| 2009 | 3 | 0 | 0.0% | 3 |
| 2008 | 1 | 0 | 0.0% | 1 |
| 2007 | 3 | 1 | 33.3% | 1 |
| 2006 | 8 | 3 | 37.5% | 3 |
| 2005 | 2 | 0 | 0.0% | 2 |
| 2004 | 2 | 1 | 50.0% | 1 |
| 2003 | 2 | 0 | 0.0% | 2 |
| 2002 | 1 | 0 | 0.0% | 1 |
| 1999 | 1 | 0 | 0.0% | 1 |
| 1997 | 3 | 1 | 33.3% | 2 |
| 1994 | 1 | 0 | 0.0% | 1 |
Over 228 matches (Sep 1994 – Mar 2026), Gefle IF drew 57 where the draw model expected 54.2 from those particular fixtures — about 3 more, or 0.4 standard errors, which is what the model expected, near enough.
A flat league average would have expected 52.4 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.