Latest game
VictoryRanked
CH
ELCHUpdated 5 days ago
Steam
JapanC100%
SteamJapanC100%pantipanti00 tw
Let's Do This
MR 1,540#147,924Last 106–4+13Last 2012–8+30
Winrate
57%
16W · 12L · 28 stored
Ranked matches
28
selected mode
Wins
16
Ranked
Losses
12
Ranked
Peak MR
1,541
Chun-Li
Ranked MR · Chun-Li
28 local · 0 imported · 28 on chart · 28 battles stored
Replay not requested
CHELPlaystyle reference
Habits vs top 30 Chun-Li
Benchmark refreshed Sep 3, 2026, 7:25 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
CHLargest absolute differences first23 habits
| Habit | pantipanti00 tw | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 5.9% | 34.5% | -28.6% | |
| Drive Rush (cancel) | 26.0% | 40.1% | -14.2% | |
| SA3 | 38.2% | 26.2% | +12.0% | |
| CA | 17.6% | 7.6% | +10.1% | |
| SA2 | 38.2% | 31.7% | +6.5% | |
| Drive Guard | 15.6% | 10.2% | +5.5% | |
| Drive Rush (parry) | 10.2% | 5.0% | +5.2% | |
| Time cornered | 7.20 | 9.57 | -2.37 | |
| Drive Arts | 14.6% | 16.9% | -2.2% | |
| Corner pressure | 9.30 | 11.27 | -1.97 | |
| Throws | 1.60 | 2.39 | -0.79 | |
| Drive Parry | 1.00 | 1.64 | -0.64 | |
| Drive Impact gauge | 2.0% | 1.4% | +0.6% | |
| Perfect Parry | 0.20 | 0.57 | -0.37 | |
| Drive Impact | 0.30 | 0.16 | +0.14 | |
| Punish Counters landed | 0.20 | 0.10 | +0.10 | |
| Got thrown | 2.00 | 2.08 | -0.08 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Stuns landed | 0.00 | 0.04 | -0.04 | |
| Drive Reversal | 0.20 | 0.17 | +0.03 | |
| Throw parries | 0.20 | 0.22 | -0.02 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 | |
| Throw techs | 0.40 | 0.40 | -0.00 |
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.
Chun-Li · Latest 100
What to improve
Make Drive Impact a deliberate choice
Drive Impact: profile 0.3 · reference 0.16
Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.
Try thisRecord Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.
Supporting stats
- Drive Impact: profile 0.3 · reference 0.16
- Drive Impact gauge: profile 2% · reference 1.4%
Give each meter spend a purpose
CA: profile 17.6% · reference 7.6%
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
- CA: profile 17.6% · reference 7.6%
- SA3: profile 38.2% · reference 26.2%
Review defensive decisions
Perfect Parry: profile 0.2 · reference 0.57
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
- Perfect Parry: profile 0.2 · reference 0.57
- Drive Reversal: profile 0.2 · reference 0.17
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 9, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
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
Adapt to the visible gauge
CA: profile 17.6% · reference 7.6%
Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.
Try thisAfter a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.
Supporting stats
- CA: profile 17.6% · reference 7.6%
- SA3: profile 38.2% · reference 26.2%
Probe defense before committing
Perfect Parry: profile 0.2 · reference 0.57
Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.
Try thisTry your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.
Supporting stats
- Perfect Parry: profile 0.2 · reference 0.57
- Drive Reversal: profile 0.2 · reference 0.17
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 9, 2026 · AI: dots-studio/dots-3-note-preview:free