| Keaster vs Kazuya | 89–81 | 52.35% |
| Keaster vs King | 77–67 | 53.47% |
| Keaster vs Armor King | 78–57 | 57.78% |
| Keaster vs Bryan | 53–59 | 47.32% |
| Keaster vs Jin | 50–57 | 46.73% |
| Keaster vs Reina | 44–43 | 50.57% |
| Keaster vs Heihachi | 46–39 | 54.12% |
| Keaster vs Steve | 40–41 | 49.38% |
| Keaster vs Law | 34–45 | 43.04% |
| Keaster vs Dragunov | 41–35 | 53.95% |
| Keaster vs Fahkumram | 33–38 | 46.48% |
| Keaster vs Hwoarang | 25–45 | 35.71% |
| Keaster vs Azucena | 32–38 | 45.71% |
| Keaster vs Yoshimitsu | 33–29 | 53.23% |
| Keaster vs Paul | 27–33 | 45.00% |
| Keaster vs Lee | 37–20 | 64.91% |
| Keaster vs Lidia | 32–25 | 56.14% |
| Keaster vs Clive | 38–18 | 67.86% |
| Keaster vs Jun | 33–22 | 60.00% |
| Keaster vs Lars | 30–24 | 55.56% |
| Keaster vs Lili | 31–19 | 62.00% |
| Keaster vs Nina | 23–25 | 47.92% |
| Keaster vs Devil Jin | 24–23 | 51.06% |
| Keaster vs Miary Zo | 28–16 | 63.64% |
| Keaster vs Leroy | 24–16 | 60.00% |
| Keaster vs Feng | 27–12 | 69.23% |
| Keaster vs Alisa | 17–20 | 45.95% |
| Keaster vs Asuka | 18–17 | 51.43% |
| Keaster vs Eddy | 20–15 | 57.14% |
| Keaster vs Xiaoyu | 12–20 | 37.50% |
| Keaster vs Jack-8 | 17–13 | 56.67% |
| Keaster vs Anna | 13–17 | 43.33% |
| Keaster vs Claudio | 13–15 | 46.43% |
| Keaster vs Leo | 9–16 | 36.00% |
| Keaster vs Raven | 18–7 | 72.00% |
| Keaster vs Victor | 15–9 | 62.50% |
| Keaster vs Zafina | 12–10 | 54.55% |
| Keaster vs Kuma | 11–10 | 52.38% |
| Keaster vs Shaheen | 10–10 | 50.00% |
| Keaster vs Panda | 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.