| Tylennoll vs King | 58–61 | 48.74% |
| Tylennoll vs Kazuya | 40–51 | 43.96% |
| Tylennoll vs Steve | 59–31 | 65.56% |
| Tylennoll vs Jin | 47–42 | 52.81% |
| Tylennoll vs Reina | 42–29 | 59.15% |
| Tylennoll vs Bryan | 24–42 | 36.36% |
| Tylennoll vs Hwoarang | 22–42 | 34.38% |
| Tylennoll vs Dragunov | 29–29 | 50.00% |
| Tylennoll vs Law | 25–29 | 46.30% |
| Tylennoll vs Paul | 21–29 | 42.00% |
| Tylennoll vs Clive | 34–15 | 69.39% |
| Tylennoll vs Asuka | 20–24 | 45.45% |
| Tylennoll vs Azucena | 24–20 | 54.55% |
| Tylennoll vs Heihachi | 21–23 | 47.73% |
| Tylennoll vs Eddy | 24–17 | 58.54% |
| Tylennoll vs Lars | 18–21 | 46.15% |
| Tylennoll vs Fahkumram | 12–25 | 32.43% |
| Tylennoll vs Lili | 16–20 | 44.44% |
| Tylennoll vs Jun | 10–24 | 29.41% |
| Tylennoll vs Lee | 11–19 | 36.67% |
| Tylennoll vs Yoshimitsu | 18–11 | 62.07% |
| Tylennoll vs Victor | 14–15 | 48.28% |
| Tylennoll vs Xiaoyu | 13–15 | 46.43% |
| Tylennoll vs Raven | 17–9 | 65.38% |
| Tylennoll vs Devil Jin | 13–12 | 52.00% |
| Tylennoll vs Leo | 12–13 | 48.00% |
| Tylennoll vs Lidia | 13–10 | 56.52% |
| Tylennoll vs Nina | 10–11 | 47.62% |
| Tylennoll vs Anna | 11–7 | 61.11% |
| Tylennoll vs Alisa | 9–8 | 52.94% |
| Tylennoll vs Kuma | 9–8 | 52.94% |
| Tylennoll vs Leroy | 7–10 | 41.18% |
| Tylennoll vs Feng | 5–11 | 31.25% |
| Tylennoll vs Jack-8 | 7–8 | 46.67% |
| Tylennoll vs Claudio | 5–9 | 35.71% |
| Tylennoll vs Shaheen | 5–8 | 38.46% |
| Tylennoll vs Zafina | 5–4 | 55.56% |
| Tylennoll vs Panda | 3–1 | 75.00% |
| Tylennoll vs Armor King | 2–2 | 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.