Latest game
VictoryRanked
TE
YA
CAUpdated 1 week ago
Steam
JapanClub · PomPomPastelC100%
SteamJapanClub · PomPomPastelC100%れあちゃん
Angel Devil Kingdom
MR 1,606#71,124Last 105–5+3Last 209–11-8
Winrate
44%
23W · 29L · 52 stored
Ranked matches
52
selected mode
Wins
23
Ranked
Losses
29
Ranked
Peak MR
1,606
Cammy
Ranked MR · Cammy
52 local · 0 imported · 52 on chart · 52 battles stored
Replay not requested
TEYAPlaystyle reference
Habits vs top 30 Cammy
Benchmark refreshed Sep 3, 2026, 10:17 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
CALargest absolute differences first23 habits
| Habit | れあちゃん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 31.6% | 9.3% | +22.3% | |
| SA1 | 26.3% | 43.6% | -17.3% | |
| Drive Arts | 7.6% | 16.8% | -9.2% | |
| Drive Guard | 18.4% | 10.1% | +8.3% | |
| Drive Rush (parry) | 11.5% | 5.2% | +6.3% | |
| Drive Rush (cancel) | 35.0% | 40.7% | -5.7% | |
| SA2 | 13.2% | 16.0% | -2.8% | |
| SA3 | 28.9% | 31.2% | -2.2% | |
| Drive Impact gauge | 2.8% | 1.3% | +1.5% | |
| Corner pressure | 11.70 | 12.91 | -1.21 | |
| Throws | 3.60 | 2.43 | +1.17 | |
| Time cornered | 9.80 | 8.80 | +1.00 | |
| Drive Parry | 2.30 | 1.56 | +0.74 | |
| Perfect Parry | 0.90 | 0.54 | +0.36 | |
| Got thrown | 1.90 | 2.13 | -0.23 | |
| Drive Reversal | 0.00 | 0.18 | -0.18 | |
| Throw parries | 0.40 | 0.25 | +0.15 | |
| Drive Impact | 0.30 | 0.16 | +0.14 | |
| Punish Counters landed | 0.20 | 0.09 | +0.11 | |
| Throw techs | 0.40 | 0.35 | +0.05 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Got Punish Countered | 0.10 | 0.06 | +0.04 | |
| Stuns landed | 0.10 | 0.07 | +0.03 |
FROM STATS TO PRACTICE
Latest 100Match plan
Turn this profile’s habits and results into ideas to test. Habits cover all characters; the selected character sets the comparison group.
Checking for a saved match plan…
Uses public profile stats with OpenRouter’s free AI models. Plans are shared and saved for reuse. Suggestions are hypotheses, not replay analysis.Saved match plans
Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.
Cammy · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.09
Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.
Try thisRecreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.
Supporting stats
- Punish Counters landed: profile 0.2 · reference 0.09
- Got Punish Countered: profile 0.1 · reference 0.06
Review defensive decisions
Drive Parry: profile 2.3 · reference 1.56
Compare five defensive situations: what did the opponent do, what did you choose, and what happened? Low parry or throw-tech counts alone do not establish a weakness.
Try thisRecord two different options from one troublesome situation. Practice identifying them and choosing a response, then review whether the same decision improves in your next set.
Supporting stats
- Drive Parry: profile 2.3 · reference 1.56
- Perfect Parry: profile 0.9 · reference 0.54
- Drive Reversal: profile 0 · reference 0.18
Give each meter spend a purpose
Drive Rush (parry): profile 11.5% · reference 5.2%
Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.
Try thisPractice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.
Supporting stats
- Drive Rush (parry): profile 11.5% · reference 5.2%
- Drive Arts: profile 7.6% · reference 16.8%
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Ken: 38 wins in 68 games
A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.
Try thisIf you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.
Supporting stats
- vs Ken: 38 wins in 68 games
- vs Luke: 21 wins in 37 games
- vs Akuma: 11 wins in 20 games
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.16
Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.
Try thisRevisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.
Supporting stats
- Drive Impact: profile 0.3 · reference 0.16
- Drive Impact gauge: profile 2.8% · reference 1.3%
AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.
Data saved Sep 6, 2026 · AI: dots-studio/dots-3-note-preview:free