| KUMALOVESPUMA vs Hwoarang | 20–2 | 90.91% |
| KUMALOVESPUMA vs Law | 13–3 | 81.25% |
| KUMALOVESPUMA vs Eddy | 10–1 | 90.91% |
| KUMALOVESPUMA vs King | 7–1 | 87.50% |
| KUMALOVESPUMA vs Steve | 7–1 | 87.50% |
| KUMALOVESPUMA vs Alisa | 6–1 | 85.71% |
| KUMALOVESPUMA vs Leroy | 4–3 | 57.14% |
| KUMALOVESPUMA vs Bryan | 5–1 | 83.33% |
| KUMALOVESPUMA vs Jin | 4–1 | 80.00% |
| KUMALOVESPUMA vs Kazuya | 5–0 | 100.00% |
| KUMALOVESPUMA vs Lili | 5–0 | 100.00% |
| KUMALOVESPUMA vs Reina | 4–1 | 80.00% |
| KUMALOVESPUMA vs Anna | 2–3 | 40.00% |
| KUMALOVESPUMA vs Armor King | 4–1 | 80.00% |
| KUMALOVESPUMA vs Heihachi | 3–1 | 75.00% |
| KUMALOVESPUMA vs Clive | 4–0 | 100.00% |
| KUMALOVESPUMA vs Miary Zo | 4–0 | 100.00% |
| KUMALOVESPUMA vs Yoshimitsu | 2–1 | 66.67% |
| KUMALOVESPUMA vs Dragunov | 3–0 | 100.00% |
| KUMALOVESPUMA vs Leo | 3–0 | 100.00% |
| KUMALOVESPUMA vs Paul | 1–1 | 50.00% |
| KUMALOVESPUMA vs Xiaoyu | 0–2 | 0.00% |
| KUMALOVESPUMA vs Jack-8 | 2–0 | 100.00% |
| KUMALOVESPUMA vs Lee | 2–0 | 100.00% |
| KUMALOVESPUMA vs Kuma | 2–0 | 100.00% |
| KUMALOVESPUMA vs Azucena | 2–0 | 100.00% |
| KUMALOVESPUMA vs Raven | 2–0 | 100.00% |
| KUMALOVESPUMA vs Lidia | 1–1 | 50.00% |
| KUMALOVESPUMA vs Fahkumram | 2–0 | 100.00% |
| KUMALOVESPUMA vs Asuka | 1–0 | 100.00% |
| KUMALOVESPUMA vs Devil Jin | 1–0 | 100.00% |
| KUMALOVESPUMA vs Feng | 0–1 | 0.00% |
| KUMALOVESPUMA vs Lars | 0–1 | 0.00% |
| KUMALOVESPUMA vs Nina | 1–0 | 100.00% |
| KUMALOVESPUMA vs Jun | 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.