| Tilan16 vs King | 162–227 | 41.65% |
| Tilan16 vs Reina | 162–187 | 46.42% |
| Tilan16 vs Kazuya | 163–183 | 47.11% |
| Tilan16 vs Jin | 145–190 | 43.28% |
| Tilan16 vs Steve | 150–149 | 50.17% |
| Tilan16 vs Law | 100–170 | 37.04% |
| Tilan16 vs Hwoarang | 88–174 | 33.59% |
| Tilan16 vs Bryan | 115–125 | 47.92% |
| Tilan16 vs Eddy | 68–120 | 36.17% |
| Tilan16 vs Jun | 71–113 | 38.59% |
| Tilan16 vs Azucena | 78–102 | 43.33% |
| Tilan16 vs Lili | 76–102 | 42.70% |
| Tilan16 vs Paul | 74–94 | 44.05% |
| Tilan16 vs Yoshimitsu | 64–99 | 39.26% |
| Tilan16 vs Dragunov | 58–104 | 35.80% |
| Tilan16 vs Victor | 65–87 | 42.76% |
| Tilan16 vs Heihachi | 65–84 | 43.62% |
| Tilan16 vs Devil Jin | 61–75 | 44.85% |
| Tilan16 vs Lars | 46–86 | 34.85% |
| Tilan16 vs Asuka | 58–71 | 44.96% |
| Tilan16 vs Lee | 53–75 | 41.41% |
| Tilan16 vs Feng | 52–75 | 40.94% |
| Tilan16 vs Xiaoyu | 39–71 | 35.45% |
| Tilan16 vs Leo | 31–67 | 31.63% |
| Tilan16 vs Nina | 35–62 | 36.08% |
| Tilan16 vs Alisa | 35–60 | 36.84% |
| Tilan16 vs Leroy | 41–50 | 45.05% |
| Tilan16 vs Jack-8 | 34–41 | 45.33% |
| Tilan16 vs Lidia | 35–37 | 48.61% |
| Tilan16 vs Raven | 28–43 | 39.44% |
| Tilan16 vs Claudio | 27–39 | 40.91% |
| Tilan16 vs Kuma | 22–38 | 36.67% |
| Tilan16 vs Zafina | 19–30 | 38.78% |
| Tilan16 vs Clive | 20–27 | 42.55% |
| Tilan16 vs Shaheen | 20–22 | 47.62% |
| Tilan16 vs Fahkumram | 11–8 | 57.89% |
| Tilan16 vs Anna | 5–4 | 55.56% |
| Tilan16 vs Panda | 1–7 | 12.50% |
| Tilan16 vs Miary Zo | 2–5 | 28.57% |
| Tilan16 vs Armor King | 3–3 | 50.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.