Latest game
VictoryRanked
JA
LUJAUpdated 7 days ago
Steam
JapanClub · DATOUiyun1212C100%
SteamJapanClub · DATOUiyun1212C100%レノっさん_OG3
NEW GENERATION
MR 1,504#227,787Last 105–5+4Last 2011–9+15
Winrate
41%
22W · 32L · 54 stored
Ranked matches
54
selected mode
Wins
22
Ranked
Losses
32
Ranked
Peak MR
1,552
Jamie
Ranked MR · Jamie
54 local · 0 imported · 54 on chart · 54 battles stored
Replay not requested
JALUPlaystyle reference
Habits vs top 30 Jamie
Benchmark refreshed Sep 13, 2026, 4:16 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JALargest absolute differences first23 habits
| Habit | レノっさん_OG3 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 2.1% | 21.4% | -19.3% | |
| CA | 27.1% | 9.8% | +17.2% | |
| Drive Rush (cancel) | 43.2% | 33.8% | +9.4% | |
| SA1 | 35.4% | 29.0% | +6.4% | |
| Drive Guard | 6.7% | 11.0% | -4.3% | |
| SA3 | 35.4% | 39.7% | -4.3% | |
| Throws | 4.60 | 2.40 | +2.20 | |
| Corner pressure | 12.70 | 14.89 | -2.19 | |
| Drive Rush (parry) | 3.7% | 5.7% | -2.1% | |
| Time cornered | 7.00 | 8.56 | -1.56 | |
| Drive Parry | 0.90 | 1.78 | -0.88 | |
| Perfect Parry | 0.10 | 0.67 | -0.57 | |
| Drive Impact gauge | 1.9% | 1.4% | +0.5% | |
| Got thrown | 1.80 | 2.15 | -0.35 | |
| Drive Arts | 23.6% | 23.2% | +0.3% | |
| Drive Reversal | 0.00 | 0.26 | -0.26 | |
| Throw techs | 0.20 | 0.40 | -0.20 | |
| Throw parries | 0.40 | 0.20 | +0.20 | |
| Got Punish Countered | 0.20 | 0.06 | +0.14 | |
| Drive Impact | 0.10 | 0.21 | -0.11 | |
| Punish Counters landed | 0.00 | 0.07 | -0.07 | |
| Got stunned | 0.10 | 0.06 | +0.04 | |
| Stuns landed | 0.10 | 0.08 | +0.02 |
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.
Jamie · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.2 · reference 0.08
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
- Got Punish Countered: profile 0.2 · reference 0.08
- Punish Counters landed: profile 0 · reference 0.07
Make Drive Impact a deliberate choice
Drive Impact: profile 0.1 · reference 0.2
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 0.1 · reference 0.2
- Drive Impact gauge: profile 1.9% · reference 1.5%
Review close-range choices
Throws: profile 4.6 · reference 2.38
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.
Supporting stats
- Throws: profile 4.6 · reference 2.38
- Got thrown: profile 1.8 · reference 1.97
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 4.6 · reference 2.38
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 4.6 · reference 2.38
- Got thrown: profile 1.8 · reference 1.97
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.2 · reference 0.08
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 0.2 · reference 0.08
- Punish Counters landed: profile 0 · reference 0.07
Probe defense before committing
Drive Reversal: profile 0 · reference 0.24
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 · reference 0.24
- Perfect Parry: profile 0.1 · reference 0.6
- Drive Parry: profile 0.9 · reference 1.7
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