| Go_Tsu vs Jin | 145–137 | 51.42% |
| Go_Tsu vs Kazuya | 120–123 | 49.38% |
| Go_Tsu vs King | 98–70 | 58.33% |
| Go_Tsu vs Dragunov | 77–90 | 46.11% |
| Go_Tsu vs Reina | 83–78 | 51.55% |
| Go_Tsu vs Bryan | 76–79 | 49.03% |
| Go_Tsu vs Heihachi | 63–79 | 44.37% |
| Go_Tsu vs Law | 59–70–1 | 45.74% |
| Go_Tsu vs Steve | 52–65 | 44.44% |
| Go_Tsu vs Hwoarang | 57–52 | 52.29% |
| Go_Tsu vs Jun | 55–50 | 52.38% |
| Go_Tsu vs Yoshimitsu | 62–42 | 59.62% |
| Go_Tsu vs Lili | 56–41 | 57.73% |
| Go_Tsu vs Victor | 37–56 | 39.78% |
| Go_Tsu vs Devil Jin | 46–39 | 54.12% |
| Go_Tsu vs Lee | 46–39 | 54.12% |
| Go_Tsu vs Lars | 42–42 | 50.00% |
| Go_Tsu vs Azucena | 33–43 | 43.42% |
| Go_Tsu vs Paul | 24–48 | 33.33% |
| Go_Tsu vs Fahkumram | 47–25 | 65.28% |
| Go_Tsu vs Nina | 35–32 | 52.24% |
| Go_Tsu vs Armor King | 32–32 | 50.00% |
| Go_Tsu vs Xiaoyu | 43–20 | 68.25% |
| Go_Tsu vs Asuka | 35–26 | 57.38% |
| Go_Tsu vs Feng | 28–33 | 45.90% |
| Go_Tsu vs Clive | 33–26 | 55.93% |
| Go_Tsu vs Lidia | 26–23 | 53.06% |
| Go_Tsu vs Miary Zo | 20–27 | 42.55% |
| Go_Tsu vs Leo | 22–20 | 52.38% |
| Go_Tsu vs Alisa | 22–20 | 52.38% |
| Go_Tsu vs Eddy | 15–24 | 38.46% |
| Go_Tsu vs Kuma | 14–24 | 36.84% |
| Go_Tsu vs Leroy | 23–12 | 65.71% |
| Go_Tsu vs Anna | 14–20 | 41.18% |
| Go_Tsu vs Jack-8 | 10–23 | 30.30% |
| Go_Tsu vs Zafina | 13–17 | 43.33% |
| Go_Tsu vs Raven | 14–15 | 48.28% |
| Go_Tsu vs Shaheen | 8–19 | 29.63% |
| Go_Tsu vs Claudio | 14–12 | 53.85% |
| Go_Tsu vs Panda | 3–6 | 33.33% |
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.