| Tenth_life85 vs King | 80–68 | 54.05% |
| Tenth_life85 vs Kazuya | 74–74 | 50.00% |
| Tenth_life85 vs Jin | 62–70 | 46.97% |
| Tenth_life85 vs Bryan | 64–54 | 54.24% |
| Tenth_life85 vs Reina | 59–49 | 54.63% |
| Tenth_life85 vs Paul | 46–55 | 45.54% |
| Tenth_life85 vs Steve | 57–44 | 56.44% |
| Tenth_life85 vs Devil Jin | 39–52 | 42.86% |
| Tenth_life85 vs Law | 48–42 | 53.33% |
| Tenth_life85 vs Hwoarang | 42–39 | 51.85% |
| Tenth_life85 vs Lili | 40–41 | 49.38% |
| Tenth_life85 vs Eddy | 33–45 | 42.31% |
| Tenth_life85 vs Dragunov | 44–31 | 58.67% |
| Tenth_life85 vs Jun | 51–23 | 68.92% |
| Tenth_life85 vs Lee | 32–37 | 46.38% |
| Tenth_life85 vs Nina | 26–35 | 42.62% |
| Tenth_life85 vs Asuka | 34–24 | 58.62% |
| Tenth_life85 vs Leroy | 30–27–1 | 52.63% |
| Tenth_life85 vs Victor | 27–28 | 49.09% |
| Tenth_life85 vs Lars | 23–31 | 42.59% |
| Tenth_life85 vs Xiaoyu | 29–21 | 58.00% |
| Tenth_life85 vs Feng | 32–18 | 64.00% |
| Tenth_life85 vs Yoshimitsu | 24–24 | 50.00% |
| Tenth_life85 vs Leo | 29–16 | 64.44% |
| Tenth_life85 vs Jack-8 | 24–20 | 54.55% |
| Tenth_life85 vs Azucena | 21–21 | 50.00% |
| Tenth_life85 vs Raven | 19–22 | 46.34% |
| Tenth_life85 vs Kuma | 19–19 | 50.00% |
| Tenth_life85 vs Alisa | 20–15 | 57.14% |
| Tenth_life85 vs Zafina | 13–17 | 43.33% |
| Tenth_life85 vs Clive | 8–14 | 36.36% |
| Tenth_life85 vs Claudio | 8–11 | 42.11% |
| Tenth_life85 vs Shaheen | 7–8 | 46.67% |
| Tenth_life85 vs Panda | 4–10 | 28.57% |
| Tenth_life85 vs Lidia | 2–2 | 50.00% |
| Tenth_life85 vs Heihachi | 0–4 | 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.