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 4 Nov 2026.
| # | Run | From → To | |
|---|---|---|---|
| 1 | 12 | 12 May 2022 → 14 Aug 2022 | ▸ matches |
| 2 | 12 | 11 Dec 2014 → 14 Mar 2015 | ▸ matches |
| 3 | 11 | 03 Sep 2022 → 15 Jan 2023 | ▸ matches |
| 4 | 10 | 28 Jan 2025 → 29 Mar 2025 | ▸ matches |
| 5 | 10 | 12 Aug 2015 → 17 Oct 2015 | ▸ matches |
| 6 | 9 | 03 May 2018 → 22 Aug 2018 | ▸ matches |
| 7 | 9 | 11 Apr 2017 → 21 May 2017 | ▸ matches |
| 8 | 8 | 15 Jul 2023 → 30 Sep 2023 | ▸ matches |
| 9 | 8 | 12 Mar 2022 → 23 Apr 2022 | ▸ matches |
| 10 | 8 | 20 Oct 2021 → 04 Dec 2021 | ▸ matches |
| Competition | P | D | Draw% | N | Max |
|---|---|---|---|---|---|
| Liga MX | 578 | 178 | 30.8% | 0 | 12 |
| Campeón de Campeones | 5 | 1 | 20.0% | 1 | 1 |
| FIFA Club World Cup | 3 | 0 | 0.0% | 3 | 3 |
| Year | P | D | Draw% | Max |
|---|---|---|---|---|
| 2026 | 33 | 10 | 30.3% | 7 |
| 2025 | 44 | 14 | 31.8% | 10 |
| 2024 | 39 | 10 | 25.6% | 6 |
| 2023 | 48 | 16 | 33.3% | 8 |
| 2022 | 41 | 6 | 14.6% | 12 |
| 2021 | 42 | 12 | 28.6% | 8 |
| 2020 | 30 | 9 | 30.0% | 7 |
| 2019 | 44 | 16 | 36.4% | 8 |
| 2018 | 39 | 12 | 30.8% | 9 |
| 2017 | 47 | 13 | 27.7% | 9 |
| 2016 | 42 | 15 | 35.7% | 3 |
| 2015 | 42 | 8 | 19.1% | 10 |
| 2014 | 40 | 17 | 42.5% | 5 |
| 2013 | 38 | 15 | 39.5% | 5 |
| 2012 | 17 | 6 | 35.3% | 6 |
Over 491 matches (Jan 2015 – Oct 2026), Tigres UANL drew 141 where the draw model expected 133.2 from those particular fixtures — about 8 more, or 0.8 standard errors, which is what the model expected, near enough.
A flat league average would have expected 133.0 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.