| iCHAINS vs Kazuya | 156–151 | 50.81% |
| iCHAINS vs Bryan | 120–137 | 46.69% |
| iCHAINS vs King | 115–118 | 49.36% |
| iCHAINS vs Jin | 95–103 | 47.98% |
| iCHAINS vs Hwoarang | 87–98 | 47.03% |
| iCHAINS vs Reina | 102–81 | 55.74% |
| iCHAINS vs Lee | 96–78 | 55.17% |
| iCHAINS vs Paul | 84–81 | 50.91% |
| iCHAINS vs Heihachi | 81–81 | 50.00% |
| iCHAINS vs Dragunov | 87–72 | 54.72% |
| iCHAINS vs Law | 80–77 | 50.96% |
| iCHAINS vs Steve | 71–81 | 46.71% |
| iCHAINS vs Lili | 74–60 | 55.22% |
| iCHAINS vs Lars | 65–69 | 48.51% |
| iCHAINS vs Jun | 75–57 | 56.82% |
| iCHAINS vs Clive | 82–50 | 62.12% |
| iCHAINS vs Azucena | 64–52 | 55.17% |
| iCHAINS vs Lidia | 57–54 | 51.35% |
| iCHAINS vs Asuka | 51–52 | 49.51% |
| iCHAINS vs Victor | 52–49 | 51.49% |
| iCHAINS vs Raven | 49–48 | 50.52% |
| iCHAINS vs Devil Jin | 44–51 | 46.32% |
| iCHAINS vs Yoshimitsu | 43–50 | 46.24% |
| iCHAINS vs Leo | 41–52 | 44.09% |
| iCHAINS vs Eddy | 41–47 | 46.59% |
| iCHAINS vs Feng | 50–36 | 58.14% |
| iCHAINS vs Alisa | 42–42 | 50.00% |
| iCHAINS vs Jack-8 | 34–45 | 43.04% |
| iCHAINS vs Nina | 40–37 | 51.95% |
| iCHAINS vs Xiaoyu | 41–20 | 67.21% |
| iCHAINS vs Fahkumram | 27–33 | 45.00% |
| iCHAINS vs Leroy | 27–31 | 46.55% |
| iCHAINS vs Zafina | 23–31 | 42.59% |
| iCHAINS vs Anna | 20–24 | 45.45% |
| iCHAINS vs Kuma | 25–14 | 64.10% |
| iCHAINS vs Shaheen | 12–22 | 35.29% |
| iCHAINS vs Armor King | 17–17 | 50.00% |
| iCHAINS vs Claudio | 20–10 | 66.67% |
| iCHAINS vs Panda | 3–18 | 14.29% |
| iCHAINS vs Miary Zo | 4–1 | 80.00% |
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.