| Tewbookoo vs Kazuya | 191–199 | 48.97% |
| Tewbookoo vs Jin | 189–156 | 54.78% |
| Tewbookoo vs King | 130–150 | 46.43% |
| Tewbookoo vs Bryan | 144–113 | 56.03% |
| Tewbookoo vs Hwoarang | 130–106 | 55.08% |
| Tewbookoo vs Dragunov | 112–112 | 50.00% |
| Tewbookoo vs Reina | 152–68–1 | 69.09% |
| Tewbookoo vs Lee | 103–88 | 53.93% |
| Tewbookoo vs Heihachi | 112–69 | 61.88% |
| Tewbookoo vs Paul | 76–92 | 45.24% |
| Tewbookoo vs Law | 76–91 | 45.51% |
| Tewbookoo vs Jun | 81–66 | 55.10% |
| Tewbookoo vs Devil Jin | 65–75 | 46.43% |
| Tewbookoo vs Lili | 62–76 | 44.93% |
| Tewbookoo vs Steve | 78–58 | 57.35% |
| Tewbookoo vs Asuka | 57–73 | 43.85% |
| Tewbookoo vs Feng | 61–68–1 | 47.29% |
| Tewbookoo vs Lidia | 63–59 | 51.64% |
| Tewbookoo vs Azucena | 60–61 | 49.59% |
| Tewbookoo vs Yoshimitsu | 48–60 | 44.44% |
| Tewbookoo vs Victor | 54–50 | 51.92% |
| Tewbookoo vs Clive | 54–44 | 55.10% |
| Tewbookoo vs Xiaoyu | 45–47 | 48.91% |
| Tewbookoo vs Raven | 40–50 | 44.44% |
| Tewbookoo vs Armor King | 46–39 | 54.12% |
| Tewbookoo vs Alisa | 35–45 | 43.75% |
| Tewbookoo vs Nina | 30–41 | 42.25% |
| Tewbookoo vs Eddy | 36–31 | 53.73% |
| Tewbookoo vs Leo | 35–31 | 53.03% |
| Tewbookoo vs Claudio | 35–31 | 53.03% |
| Tewbookoo vs Leroy | 22–42 | 34.38% |
| Tewbookoo vs Lars | 24–36 | 40.00% |
| Tewbookoo vs Shaheen | 34–26 | 56.67% |
| Tewbookoo vs Jack-8 | 22–27 | 44.90% |
| Tewbookoo vs Kuma | 9–14 | 39.13% |
| Tewbookoo vs Zafina | 7–14 | 33.33% |
| Tewbookoo vs Fahkumram | 10–8 | 55.56% |
| Tewbookoo vs Anna | 8–8 | 50.00% |
| Tewbookoo vs Miary Zo | 8–6 | 57.14% |
| Tewbookoo vs Panda | 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.