Latest game
DefeatRanked
JP
LUJPUpdated 2 hours ago
CrossPlatform
JapanClub · GiriGiriVictoryC94%
CrossPlatformJapanClub · GiriGiriVictoryC94%rx0618
King of Nothing
MR 1,461#430,359Last 102–8-45Last 208–12-29
Winrate
48%
108W · 119L · 227 stored
Ranked matches
227
selected mode
Wins
108
Ranked
Losses
119
Ranked
Peak MR
1,514
JP
Ranked MR · JP
226 local · 0 imported · 226 on chart · 248 battles stored
Replay not requested
JPLUPlaystyle reference
Habits vs top 30 JP
Benchmark refreshed Sep 3, 2026, 4:26 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
JPLargest absolute differences first23 habits
| Habit | rx0618 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 45.2% | 56.6% | -11.4% | |
| SA1 | 30.1% | 19.2% | +10.9% | |
| Drive Arts | 23.4% | 32.1% | -8.7% | |
| CA | 12.3% | 5.0% | +7.4% | |
| SA3 | 12.3% | 19.2% | -6.8% | |
| Corner pressure | 5.50 | 10.77 | -5.27 | |
| Drive Rush (cancel) | 19.0% | 23.1% | -4.1% | |
| Drive Guard | 15.9% | 12.8% | +3.1% | |
| Time cornered | 14.30 | 12.04 | +2.26 | |
| Drive Rush (parry) | 8.4% | 6.5% | +1.9% | |
| Got thrown | 3.30 | 2.13 | +1.17 | |
| Drive Impact gauge | 2.7% | 2.1% | +0.6% | |
| Throws | 2.50 | 1.97 | +0.53 | |
| Throw techs | 0.90 | 0.39 | +0.51 | |
| Drive Parry | 2.30 | 2.07 | +0.23 | |
| Got Punish Countered | 0.30 | 0.08 | +0.22 | |
| Perfect Parry | 0.60 | 0.79 | -0.19 | |
| Drive Reversal | 0.30 | 0.13 | +0.17 | |
| Punish Counters landed | 0.30 | 0.13 | +0.17 | |
| Stuns landed | 0.00 | 0.09 | -0.09 | |
| Drive Impact | 0.40 | 0.34 | +0.06 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Throw parries | 0.40 | 0.41 | -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.
JP · Latest 100
What to improve
Review close-range choices
Throw techs: profile 1.2 · reference 0.39
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
- Throw techs: profile 1.2 · reference 0.39
- Throws: profile 2.5 · reference 1.97
- Got thrown: profile 3.4 · reference 2.13
Review defensive decisions
Drive Reversal: profile 0.2 · reference 0.13
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 0.2 · reference 0.13
- Perfect Parry: profile 0.7 · reference 0.79
- Drive Parry: profile 2 · reference 2.07
Trace how you lose or gain space
Corner pressure: profile 5.5 · reference 10.77
Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.
Try thisRecreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.
Supporting stats
- Corner pressure: profile 5.5 · reference 10.77
- Time cornered: profile 13.6 · reference 12.04
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 Luke: 32 wins in 58 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 Luke: 32 wins in 58 games
- vs Marisa: 14 wins in 48 games
- vs Akuma: 27 wins in 48 games
Separate a tendency from a one-off event
Recent stored ranked sample: 48 wins in 100 games
Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.
Try thisUse the first round to check one scouting hypothesis. If it repeats, apply your prepared adjustment; if it does not, discard it and observe a new pattern.
Supporting stats
- Recent stored ranked sample: 48 wins in 100 games
Test the Drive Impact tendency
Drive Impact: profile 0.2 · reference 0.34
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 0.2 · reference 0.34
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