| Calma vs Jin | 388–507 | 43.35% |
| Calma vs Kazuya | 394–430 | 47.82% |
| Calma vs Bryan | 297–366 | 44.80% |
| Calma vs King | 305–346 | 46.85% |
| Calma vs Dragunov | 263–289 | 47.64% |
| Calma vs Hwoarang | 170–271 | 38.55% |
| Calma vs Paul | 202–236 | 46.12% |
| Calma vs Steve | 156–232 | 40.21% |
| Calma vs Law | 186–187 | 49.87% |
| Calma vs Yoshimitsu | 170–172 | 49.71% |
| Calma vs Heihachi | 148–179 | 45.26% |
| Calma vs Reina | 143–153 | 48.31% |
| Calma vs Devil Jin | 117–153 | 43.33% |
| Calma vs Lee | 116–136 | 46.03% |
| Calma vs Nina | 107–124 | 46.32% |
| Calma vs Feng | 104–119 | 46.64% |
| Calma vs Victor | 102–118 | 46.36% |
| Calma vs Lili | 97–109 | 47.09% |
| Calma vs Anna | 99–91 | 52.11% |
| Calma vs Alisa | 94–89 | 51.37% |
| Calma vs Jun | 82–91 | 47.40% |
| Calma vs Lars | 77–95 | 44.77% |
| Calma vs Leroy | 86–79 | 52.12% |
| Calma vs Asuka | 73–88 | 45.34% |
| Calma vs Azucena | 69–89 | 43.67% |
| Calma vs Jack-8 | 54–87 | 38.30% |
| Calma vs Eddy | 66–74 | 47.14% |
| Calma vs Armor King | 73–66 | 52.52% |
| Calma vs Lidia | 54–79 | 40.60% |
| Calma vs Claudio | 63–65 | 49.22% |
| Calma vs Leo | 58–52 | 52.73% |
| Calma vs Xiaoyu | 53–54 | 49.53% |
| Calma vs Shaheen | 35–39 | 47.30% |
| Calma vs Raven | 33–39 | 45.83% |
| Calma vs Clive | 24–41 | 36.92% |
| Calma vs Fahkumram | 28–27 | 50.91% |
| Calma vs Kuma | 13–33 | 28.26% |
| Calma vs Zafina | 18–27 | 40.00% |
| Calma vs Miary Zo | 13–16 | 44.83% |
| Calma vs Panda | 3–11 | 21.43% |
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.