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 | 12 | 12 Mar 2025 → 16 Aug 2025 | ▸ matches |
| 2 | 12 | 20 Mar 2021 → 07 Aug 2021 | ▸ matches |
| 3 | 11 | 24 Apr 2022 → 28 Aug 2022 | ▸ matches |
| 4 | 11 | 21 Feb 2016 → 02 May 2016 | ▸ matches |
| 5 | 11 | 08 Aug 2009 → 17 Oct 2009 | ▸ matches |
| 6 | 10 | 21 Nov 2020 → 17 Jan 2021 | ▸ matches |
| 7 | 10 | 22 Sep 2012 → 18 Nov 2012 | ▸ matches |
| 8 | 9 | 04 Nov 2022 → 25 Feb 2023 | ▸ matches |
| 9 | 9 | 17 Aug 2014 → 18 Oct 2014 | ▸ matches |
| 10 | 8 | 17 Jun 2020 → 17 Oct 2020 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| 2. Bundesliga | 374 | 103 | 27.5% | 5 | 11 |
| 3. Liga | 228 | 69 | 30.3% | 11 | 11 |
| DFB-Pokal | 29 | 8 | 27.6% | 1 | 2 |
| Club Friendlies | 1 | 1 | 100.0% | 0 | 0 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 1 | 1 | 100.0% | 0 |
| 2025 | 20 | 2 | 10.0% | 12 |
| 2024 | 38 | 12 | 31.6% | 6 |
| 2023 | 40 | 10 | 25.0% | 6 |
| 2022 | 35 | 11 | 31.4% | 11 |
| 2021 | 40 | 7 | 17.5% | 12 |
| 2020 | 31 | 6 | 19.4% | 8 |
| 2019 | 35 | 13 | 37.1% | 6 |
| 2018 | 36 | 14 | 38.9% | 5 |
| 2017 | 37 | 9 | 24.3% | 7 |
| 2016 | 34 | 9 | 26.5% | 11 |
| 2015 | 36 | 14 | 38.9% | 4 |
| 2014 | 35 | 7 | 20.0% | 9 |
| 2013 | 37 | 9 | 24.3% | 7 |
| 2012 | 39 | 8 | 20.5% | 10 |
| 2011 | 40 | 15 | 37.5% | 7 |
| 2010 | 38 | 14 | 36.8% | 5 |
| 2009 | 38 | 13 | 34.2% | 11 |
| 2008 | 20 | 7 | 35.0% | 8 |
| 2007 | 1 | 0 | 0.0% | 1 |
| 2006 | 1 | 0 | 0.0% | 1 |
Over 383 matches (Feb 2015 – May 2026), SV Sandhausen drew 108 where the draw model expected 104.5 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 104.1 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.