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 | 20 Oct 2014 → 06 Feb 2015 | ▸ matches |
| 2 | 14 | 10 Mar 2012 → 11 Aug 2012 | ▸ matches |
| 3 | 14 | 19 Aug 2006 → 02 Dec 2006 | ▸ matches |
| 4 | 13 | 20 Nov 2011 → 11 Feb 2012 | ▸ matches |
| 5 | 11 | 16 Mar 2024 → 17 May 2024 | ▸ matches |
| 6 | 11 | 11 May 2013 → 28 Sep 2013 | ▸ matches |
| 7 | 10 | 05 Dec 2023 → 07 Feb 2024 | ▸ matches |
| 8 | 10 | 18 Aug 2017 → 28 Oct 2017 | ▸ matches |
| 9 | 10 | 07 Feb 2010 → 17 Apr 2010 | ▸ matches |
| 10 | 10 | 15 Dec 2007 → 23 Feb 2008 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Ligue 2 | 408 | 131 | 32.1% | 10 | 13 |
| Ligue 1 | 304 | 88 | 29.0% | 7 | 14 |
| Coupe de France | 33 | 7 | 21.2% | 0 | 4 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2025 | 1 | 1 | 100.0% | 0 |
| 2024 | 25 | 5 | 20.0% | 11 |
| 2023 | 41 | 17 | 41.5% | 5 |
| 2022 | 36 | 14 | 38.9% | 5 |
| 2021 | 43 | 11 | 25.6% | 6 |
| 2020 | 27 | 9 | 33.3% | 6 |
| 2019 | 40 | 11 | 27.5% | 8 |
| 2018 | 38 | 11 | 29.0% | 7 |
| 2017 | 38 | 10 | 26.3% | 10 |
| 2016 | 39 | 16 | 41.0% | 6 |
| 2015 | 43 | 16 | 37.2% | 7 |
| 2014 | 39 | 7 | 18.0% | 9 |
| 2013 | 39 | 13 | 33.3% | 11 |
| 2012 | 42 | 7 | 16.7% | 14 |
| 2011 | 39 | 16 | 41.0% | 6 |
| 2010 | 39 | 13 | 33.3% | 10 |
| 2009 | 39 | 13 | 33.3% | 6 |
| 2008 | 39 | 10 | 25.6% | 8 |
| 2007 | 41 | 12 | 29.3% | 6 |
| 2006 | 38 | 7 | 18.4% | 14 |
| 2005 | 19 | 7 | 36.8% | 7 |
Over 371 matches (Jan 2015 – Jan 2025), Valenciennes drew 121 where the draw model expected 112.9 from those particular fixtures — about 8 more, or 0.9 standard errors, which is what the model expected, near enough.
A flat league average would have expected 112.5 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.