| Chaiba vs Kazuya | 554–578 | 48.94% |
| Chaiba vs Bryan | 520–498 | 51.08% |
| Chaiba vs Jin | 459–513 | 47.22% |
| Chaiba vs Hwoarang | 377–355 | 51.50% |
| Chaiba vs King | 332–396 | 45.60% |
| Chaiba vs Heihachi | 303–388 | 43.85% |
| Chaiba vs Dragunov | 299–342 | 46.65% |
| Chaiba vs Reina | 273–354 | 43.54% |
| Chaiba vs Steve | 282–313 | 47.39% |
| Chaiba vs Lee | 305–274 | 52.68% |
| Chaiba vs Paul | 266–305 | 46.58% |
| Chaiba vs Law | 307–253 | 54.82% |
| Chaiba vs Lili | 270–212 | 56.02% |
| Chaiba vs Devil Jin | 193–273 | 41.42% |
| Chaiba vs Yoshimitsu | 211–244 | 46.37% |
| Chaiba vs Asuka | 219–145 | 60.16% |
| Chaiba vs Feng | 164–186 | 46.86% |
| Chaiba vs Nina | 158–165 | 48.92% |
| Chaiba vs Alisa | 153–158 | 49.20% |
| Chaiba vs Lars | 159–135 | 54.08% |
| Chaiba vs Xiaoyu | 157–120 | 56.68% |
| Chaiba vs Azucena | 103–173 | 37.32% |
| Chaiba vs Jun | 107–150 | 41.63% |
| Chaiba vs Jack-8 | 85–137 | 38.29% |
| Chaiba vs Raven | 110–100 | 52.38% |
| Chaiba vs Clive | 71–132 | 34.98% |
| Chaiba vs Victor | 77–117 | 39.69% |
| Chaiba vs Zafina | 92–82 | 52.87% |
| Chaiba vs Leo | 73–100 | 42.20% |
| Chaiba vs Claudio | 70–100 | 41.18% |
| Chaiba vs Leroy | 72–90 | 44.44% |
| Chaiba vs Eddy | 69–75 | 47.92% |
| Chaiba vs Lidia | 43–73 | 37.07% |
| Chaiba vs Shaheen | 43–61 | 41.35% |
| Chaiba vs Kuma | 49–50 | 49.49% |
| Chaiba vs Fahkumram | 47–47 | 50.00% |
| Chaiba vs Panda | 27–17 | 61.36% |
| Chaiba vs Anna | 19–24 | 44.19% |
| Chaiba vs Armor King | 15–19 | 44.12% |
| Chaiba vs Miary Zo | 1–0 | 100.00% |
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.