Latest game
VictoryRanked
CH
JPCHUpdated 1 day ago
Steam
JapanClub · NoPonJorneC100%
SteamJapanClub · NoPonJorneC100%NocooriaNelmold
Flowing Elegance
MR 1,571#117,886Last 108–2+49Last 2012–8+31
Winrate
55%
123W · 102L · 225 stored
Ranked matches
225
selected mode
Wins
123
Ranked
Losses
102
Ranked
Peak MR
1,608
Chun-Li
Ranked MR · Chun-Li
225 local · 0 imported · 225 on chart · 225 battles stored
Replay not requested
CHJPPlaystyle 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 | NocooriaNelmold | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA1 | 9.8% | 34.5% | -24.7% | |
| SA2 | 56.1% | 31.7% | +24.3% | |
| CA | 19.5% | 7.6% | +11.9% | |
| SA3 | 14.6% | 26.2% | -11.6% | |
| Drive Arts | 10.4% | 16.9% | -6.5% | |
| Time cornered | 7.40 | 9.57 | -2.17 | |
| Corner pressure | 12.40 | 11.27 | +1.13 | |
| Drive Guard | 10.9% | 10.2% | +0.8% | |
| Drive Impact gauge | 2.2% | 1.4% | +0.7% | |
| Throws | 3.10 | 2.39 | +0.71 | |
| Drive Rush (cancel) | 40.5% | 40.1% | +0.4% | |
| Got thrown | 2.40 | 2.08 | +0.32 | |
| Perfect Parry | 0.30 | 0.57 | -0.27 | |
| Drive Rush (parry) | 5.2% | 5.0% | +0.2% | |
| Drive Impact | 0.30 | 0.16 | +0.14 | |
| Drive Reversal | 0.30 | 0.17 | +0.13 | |
| Throw techs | 0.50 | 0.40 | +0.10 | |
| Punish Counters landed | 0.20 | 0.10 | +0.10 | |
| Stuns landed | 0.10 | 0.04 | +0.06 | |
| Drive Parry | 1.70 | 1.64 | +0.06 | |
| Got stunned | 0.00 | 0.05 | -0.05 | |
| Throw parries | 0.20 | 0.22 | -0.02 | |
| Got Punish Countered | 0.10 | 0.09 | +0.01 |
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
Find the cause of punish events
Punish Counters landed: profile 0.2 · reference 0.1
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 0.1
- Got Punish Countered: profile 0.1 · reference 0.09
Review defensive decisions
Drive Reversal: profile 0.4 · reference 0.17
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 Reversal: profile 0.4 · reference 0.17
- Drive Parry: profile 2.1 · reference 1.64
- Perfect Parry: profile 0.5 · reference 0.57
Give each meter spend a purpose
SA2: profile 61.7% · reference 31.7%
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
- SA2: profile 61.7% · reference 31.7%
- SA3: profile 13.3% · reference 26.2%
- SA1: profile 13.3% · reference 34.5%
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Test the close-range pattern
Throws: profile 4.1 · reference 2.39
Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.
Try thisIf the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.
Supporting stats
- Throws: profile 4.1 · reference 2.39
- Throw techs: profile 0.6 · reference 0.4
Probe defense before committing
Drive Reversal: profile 0.4 · reference 0.17
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
- Drive Reversal: profile 0.4 · reference 0.17
- Drive Parry: profile 2.1 · reference 1.64
- Perfect Parry: profile 0.5 · reference 0.57
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.1 · reference 0.09
Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.
Try thisTest one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.
Supporting stats
- Got Punish Countered: profile 0.1 · reference 0.09
- Punish Counters landed: profile 0.2 · reference 0.1
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 7, 2026 · AI: dots-studio/dots-3-note-preview:free