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 | 14 | 08 May 2010 → 22 Oct 2010 | ▸ matches |
| 2 | 12 | 30 May 2009 → 31 Oct 2009 | ▸ matches |
| 3 | 11 | 28 Feb 2023 → 13 May 2023 | ▸ matches |
| 4 | 11 | 04 Feb 2005 → 15 Apr 2005 | ▸ matches |
| 5 | 10 | 22 Aug 2020 → 24 Nov 2020 | ▸ matches |
| 6 | 9 | 03 Sep 2018 → 09 Nov 2018 | ▸ matches |
| 7 | 9 | 23 Dec 2009 → 27 Feb 2010 | ▸ matches |
| 8 | 9 | 07 Mar 2009 → 26 Apr 2009 | ▸ matches |
| 9 | 8 | 29 Mar 2025 → 09 Aug 2025 | ▸ matches |
| 10 | 8 | 07 Dec 2024 → 31 Jan 2025 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Ligue 2 | 601 | 193 | 32.1% | 4 | 12 |
| Ligue 1 | 76 | 22 | 29.0% | 2 | 12 |
| Coupe de France | 23 | 6 | 26.1% | 0 | 4 |
| Club Friendlies | 3 | 2 | 66.7% | 0 | 1 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 31 | 13 | 41.9% | 4 |
| 2025 | 36 | 11 | 30.6% | 8 |
| 2024 | 36 | 8 | 22.2% | 8 |
| 2023 | 44 | 11 | 25.0% | 11 |
| 2022 | 36 | 10 | 27.8% | 6 |
| 2021 | 41 | 10 | 24.4% | 7 |
| 2020 | 26 | 7 | 26.9% | 10 |
| 2019 | 39 | 19 | 48.7% | 5 |
| 2018 | 22 | 5 | 22.7% | 9 |
| 2017 | 1 | 0 | 0.0% | 1 |
| 2015 | 4 | 1 | 25.0% | 2 |
| 2011 | 19 | 9 | 47.4% | 5 |
| 2010 | 39 | 7 | 18.0% | 14 |
| 2009 | 43 | 13 | 30.2% | 12 |
| 2008 | 38 | 14 | 36.8% | 5 |
| 2007 | 38 | 11 | 29.0% | 6 |
| 2006 | 39 | 15 | 38.5% | 5 |
| 2005 | 38 | 9 | 23.7% | 11 |
| 2004 | 38 | 15 | 39.5% | 6 |
| 2003 | 38 | 14 | 36.8% | 5 |
| 2002 | 36 | 15 | 41.7% | 5 |
| 2001 | 21 | 6 | 28.6% | 4 |
Over 316 matches (Jan 2015 – Oct 2026), Grenoble Foot 38 drew 95 where the draw model expected 98.4 from those particular fixtures — about 3 fewer, or 0.4 standard errors, which is what the model expected, near enough.
A flat league average would have expected 95.7 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.