| TizzleTTV vs King | 177–187 | 48.63% |
| TizzleTTV vs Jin | 135–156 | 46.39% |
| TizzleTTV vs Kazuya | 120–157 | 43.32% |
| TizzleTTV vs Hwoarang | 121–119 | 50.42% |
| TizzleTTV vs Law | 101–137 | 42.44% |
| TizzleTTV vs Bryan | 103–124 | 45.37% |
| TizzleTTV vs Steve | 100–112 | 47.17% |
| TizzleTTV vs Paul | 49–106 | 31.61% |
| TizzleTTV vs Reina | 63–89 | 41.45% |
| TizzleTTV vs Lars | 71–78 | 47.65% |
| TizzleTTV vs Dragunov | 73–75 | 49.32% |
| TizzleTTV vs Azucena | 68–76–1 | 47.22% |
| TizzleTTV vs Lili | 62–78 | 44.29% |
| TizzleTTV vs Heihachi | 38–95 | 28.57% |
| TizzleTTV vs Jun | 42–80 | 34.43% |
| TizzleTTV vs Eddy | 60–61 | 49.59% |
| TizzleTTV vs Victor | 42–70 | 37.50% |
| TizzleTTV vs Asuka | 58–47 | 55.24% |
| TizzleTTV vs Fahkumram | 39–64 | 37.86% |
| TizzleTTV vs Yoshimitsu | 56–46 | 54.90% |
| TizzleTTV vs Xiaoyu | 35–58 | 37.63% |
| TizzleTTV vs Lee | 31–60 | 34.07% |
| TizzleTTV vs Feng | 34–56 | 37.78% |
| TizzleTTV vs Nina | 33–53 | 38.37% |
| TizzleTTV vs Clive | 45–35 | 56.25% |
| TizzleTTV vs Devil Jin | 30–49 | 37.97% |
| TizzleTTV vs Leo | 33–45 | 42.31% |
| TizzleTTV vs Leroy | 31–46 | 40.26% |
| TizzleTTV vs Raven | 33–37 | 47.14% |
| TizzleTTV vs Lidia | 29–34 | 46.03% |
| TizzleTTV vs Jack-8 | 16–44 | 26.67% |
| TizzleTTV vs Kuma | 27–32 | 45.76% |
| TizzleTTV vs Alisa | 28–30 | 48.28% |
| TizzleTTV vs Claudio | 17–36 | 32.08% |
| TizzleTTV vs Anna | 21–24 | 46.67% |
| TizzleTTV vs Zafina | 16–25 | 39.02% |
| TizzleTTV vs Armor King | 14–15 | 48.28% |
| TizzleTTV vs Shaheen | 7–16 | 30.43% |
| TizzleTTV vs Panda | 2–4 | 33.33% |
| TizzleTTV vs Miary Zo | 0–2 | 0.00% |
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.