| teep vs Kazuya | 221–199 | 52.62% |
| teep vs King | 188–191 | 49.60% |
| teep vs Bryan | 174–184 | 48.60% |
| teep vs Reina | 203–140 | 59.18% |
| teep vs Jin | 173–156 | 52.58% |
| teep vs Hwoarang | 163–158 | 50.78% |
| teep vs Law | 150–139 | 51.90% |
| teep vs Steve | 137–140 | 49.46% |
| teep vs Paul | 134–131 | 50.57% |
| teep vs Yoshimitsu | 101–141–1 | 41.74% |
| teep vs Lili | 114–103 | 52.53% |
| teep vs Lars | 98–114 | 46.23% |
| teep vs Azucena | 105–100 | 51.22% |
| teep vs Dragunov | 116–84 | 58.00% |
| teep vs Jun | 82–107 | 43.39% |
| teep vs Asuka | 89–99 | 47.34% |
| teep vs Lee | 92–94 | 49.46% |
| teep vs Clive | 77–98 | 44.00% |
| teep vs Victor | 83–75 | 52.53% |
| teep vs Devil Jin | 81–75 | 51.92% |
| teep vs Heihachi | 75–79 | 48.70% |
| teep vs Xiaoyu | 65–83 | 43.92% |
| teep vs Feng | 68–72 | 48.57% |
| teep vs Nina | 58–77 | 42.96% |
| teep vs Leo | 50–75 | 40.00% |
| teep vs Jack-8 | 50–73 | 40.65% |
| teep vs Leroy | 60–62 | 49.18% |
| teep vs Lidia | 63–57 | 52.50% |
| teep vs Eddy | 62–57 | 52.10% |
| teep vs Alisa | 54–60 | 47.37% |
| teep vs Raven | 41–68 | 37.61% |
| teep vs Fahkumram | 43–48 | 47.25% |
| teep vs Claudio | 36–46 | 43.90% |
| teep vs Zafina | 26–51 | 33.77% |
| teep vs Kuma | 39–34 | 53.42% |
| teep vs Shaheen | 25–27 | 48.08% |
| teep vs Anna | 18–11 | 62.07% |
| teep vs Panda | 6–11 | 35.29% |
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.