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 | 18 | 20 Oct 2002 → 02 Mar 2003 | ▸ matches |
| 2 | 17 | 10 Jan 2021 → 26 Apr 2021 | ▸ matches |
| 3 | 17 | 07 Mar 2004 → 24 Oct 2004 | ▸ matches |
| 4 | 16 | 16 Apr 2023 → 22 Oct 2023 | ▸ matches |
| 5 | 14 | 03 Mar 2013 → 14 Sep 2013 | ▸ matches |
| 6 | 13 | 30 Sep 2022 → 31 Jan 2023 | ▸ matches |
| 7 | 10 | 28 Sep 2024 → 14 Dec 2024 | ▸ matches |
| 8 | 10 | 08 May 2005 → 17 Oct 2005 | ▸ matches |
| 9 | 10 | 03 Oct 1999 → 19 Dec 1999 | ▸ matches |
| 10 | 9 | 03 Jun 2020 → 19 Jul 2020 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Primeira Liga | 712 | 187 | 26.3% | 0 | 18 |
| Taça de Portugal | 14 | 1 | 7.1% | 0 | 4 |
| Club Friendlies | 3 | 0 | 0.0% | 2 | 2 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 9 | 29.0% | 7 |
| 2025 | 38 | 10 | 26.3% | 8 |
| 2024 | 39 | 12 | 30.8% | 10 |
| 2023 | 37 | 7 | 18.9% | 16 |
| 2022 | 34 | 10 | 29.4% | 9 |
| 2021 | 41 | 8 | 19.5% | 17 |
| 2020 | 31 | 8 | 25.8% | 9 |
| 2019 | 14 | 5 | 35.7% | 5 |
| 2015 | 20 | 5 | 25.0% | 5 |
| 2014 | 30 | 10 | 33.3% | 6 |
| 2013 | 32 | 5 | 15.6% | 14 |
| 2012 | 29 | 9 | 31.0% | 6 |
| 2011 | 13 | 6 | 46.2% | 3 |
| 2006 | 18 | 5 | 27.8% | 8 |
| 2005 | 35 | 5 | 14.3% | 10 |
| 2004 | 34 | 9 | 26.5% | 17 |
| 2003 | 33 | 8 | 24.2% | 8 |
| 2002 | 35 | 7 | 20.0% | 10 |
| 2001 | 34 | 6 | 17.7% | 6 |
| 2000 | 34 | 13 | 38.2% | 6 |
| 1999 | 15 | 2 | 13.3% | 10 |
| 1997 | 21 | 5 | 23.8% | 9 |
| 1996 | 31 | 6 | 19.4% | 9 |
| 1995 | 35 | 14 | 40.0% | 5 |
| 1994 | 15 | 4 | 26.7% | 9 |
Over 285 matches (Jan 2015 – Nov 2026), Gil Vicente drew 74 where the draw model expected 72.6 from those particular fixtures — about 1 more, or 0.2 standard errors, which is what the model expected, near enough.
A flat league average would have expected 71.8 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.