| Slarsnel vs Reina | 133–98 | 57.58% |
| Slarsnel vs Jin | 112–100 | 52.83% |
| Slarsnel vs Hwoarang | 118–92 | 56.19% |
| Slarsnel vs Bryan | 105–96 | 52.24% |
| Slarsnel vs Kazuya | 103–96 | 51.76% |
| Slarsnel vs King | 111–81 | 57.81% |
| Slarsnel vs Steve | 71–99 | 41.76% |
| Slarsnel vs Dragunov | 95–74 | 56.21% |
| Slarsnel vs Heihachi | 78–88 | 46.99% |
| Slarsnel vs Law | 91–57 | 61.49% |
| Slarsnel vs Lili | 77–62 | 55.40% |
| Slarsnel vs Azucena | 70–67 | 51.09% |
| Slarsnel vs Paul | 70–63 | 52.63% |
| Slarsnel vs Devil Jin | 72–56 | 56.25% |
| Slarsnel vs Yoshimitsu | 63–64 | 49.61% |
| Slarsnel vs Lee | 65–54 | 54.62% |
| Slarsnel vs Lars | 59–55 | 51.75% |
| Slarsnel vs Clive | 69–42 | 62.16% |
| Slarsnel vs Xiaoyu | 55–48 | 53.40% |
| Slarsnel vs Asuka | 58–45 | 56.31% |
| Slarsnel vs Raven | 50–51 | 49.50% |
| Slarsnel vs Victor | 46–45 | 50.55% |
| Slarsnel vs Nina | 39–51 | 43.33% |
| Slarsnel vs Jun | 40–49 | 44.94% |
| Slarsnel vs Leo | 43–42 | 50.59% |
| Slarsnel vs Eddy | 37–43 | 46.25% |
| Slarsnel vs Armor King | 36–41 | 46.75% |
| Slarsnel vs Feng | 30–36 | 45.45% |
| Slarsnel vs Claudio | 27–39 | 40.91% |
| Slarsnel vs Lidia | 32–31 | 50.79% |
| Slarsnel vs Leroy | 28–29 | 49.12% |
| Slarsnel vs Alisa | 28–20 | 58.33% |
| Slarsnel vs Jack-8 | 19–23 | 45.24% |
| Slarsnel vs Zafina | 19–22 | 46.34% |
| Slarsnel vs Anna | 15–23 | 39.47% |
| Slarsnel vs Kuma | 11–22 | 33.33% |
| Slarsnel vs Shaheen | 16–16 | 50.00% |
| Slarsnel vs Fahkumram | 11–10 | 52.38% |
| Slarsnel vs Panda | 11–6 | 64.71% |
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.