| TeaWave vs Kazuya | 196–165 | 54.29% |
| TeaWave vs King | 196–153 | 56.16% |
| TeaWave vs Jin | 178–166 | 51.74% |
| TeaWave vs Reina | 164–137 | 54.49% |
| TeaWave vs Bryan | 123–155 | 44.24% |
| TeaWave vs Hwoarang | 122–110 | 52.59% |
| TeaWave vs Steve | 117–109 | 51.77% |
| TeaWave vs Dragunov | 88–129 | 40.55% |
| TeaWave vs Law | 110–97 | 53.14% |
| TeaWave vs Lee | 103–99 | 50.99% |
| TeaWave vs Azucena | 87–96 | 47.54% |
| TeaWave vs Yoshimitsu | 95–84 | 53.07% |
| TeaWave vs Paul | 87–83 | 51.18% |
| TeaWave vs Lili | 78–90 | 46.43% |
| TeaWave vs Asuka | 84–75 | 52.83% |
| TeaWave vs Lars | 70–83 | 45.75% |
| TeaWave vs Eddy | 74–71 | 51.03% |
| TeaWave vs Jun | 56–79 | 41.48% |
| TeaWave vs Victor | 63–61 | 50.81% |
| TeaWave vs Armor King | 55–60 | 47.83% |
| TeaWave vs Devil Jin | 57–51 | 52.78% |
| TeaWave vs Xiaoyu | 50–57 | 46.73% |
| TeaWave vs Leroy | 37–64 | 36.63% |
| TeaWave vs Lidia | 47–52 | 47.47% |
| TeaWave vs Fahkumram | 47–49 | 48.96% |
| TeaWave vs Heihachi | 50–44 | 53.19% |
| TeaWave vs Nina | 48–43 | 52.75% |
| TeaWave vs Feng | 41–49 | 45.56% |
| TeaWave vs Raven | 37–51 | 42.05% |
| TeaWave vs Claudio | 30–51 | 37.04% |
| TeaWave vs Alisa | 41–39 | 51.25% |
| TeaWave vs Leo | 29–50 | 36.71% |
| TeaWave vs Jack-8 | 34–43 | 44.16% |
| TeaWave vs Zafina | 20–48 | 29.41% |
| TeaWave vs Kuma | 37–26 | 58.73% |
| TeaWave vs Shaheen | 22–39 | 36.07% |
| TeaWave vs Anna | 34–24 | 58.62% |
| TeaWave vs Miary Zo | 16–24–1 | 40.00% |
| TeaWave vs Clive | 24–15 | 61.54% |
| TeaWave vs Panda | 24–14 | 63.16% |
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.