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A.
JPA.Updated 7 days ago
CrossPlatform
JapanC100%
CrossPlatformJapanC100%minami
Let's Get Bubbling
MR 1,583#100,851Winrate
—
0W · 0L · 0 stored
Ranked matches
0
selected mode
Wins
0
Ranked
Losses
0
Ranked
Peak MR
1,583
A.K.I.
Ranked MR · A.K.I.
0 local · 0 imported · 0 on chart · 208 battles stored
Not enough ranked MR points in this range yet.
Replay not requested
A.JPPlaystyle reference
Habits vs top 30 A.K.I.
Benchmark refreshed Sep 12, 2026, 4:20 AM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
A.Largest absolute differences first23 habits
| Habit | minami | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 4.9% | 23.3% | -18.4% | |
| SA2 | 5.7% | 22.0% | -16.3% | |
| CA | 24.5% | 9.6% | +14.9% | |
| Drive Guard | 24.2% | 17.0% | +7.2% | |
| SA3 | 35.8% | 30.6% | +5.3% | |
| Drive Rush (parry) | 15.6% | 11.0% | +4.6% | |
| SA1 | 34.0% | 37.8% | -3.9% | |
| Drive Arts | 17.6% | 21.0% | -3.4% | |
| Time cornered | 6.70 | 9.83 | -3.13 | |
| Corner pressure | 10.00 | 11.29 | -1.29 | |
| Drive Parry | 2.50 | 1.93 | +0.57 | |
| Got thrown | 2.70 | 2.30 | +0.40 | |
| Drive Reversal | 0.00 | 0.40 | -0.40 | |
| Drive Impact gauge | 2.1% | 1.8% | +0.4% | |
| Throws | 2.00 | 2.34 | -0.34 | |
| Got Punish Countered | 0.30 | 0.11 | +0.19 | |
| Perfect Parry | 0.70 | 0.60 | +0.10 | |
| Punish Counters landed | 0.20 | 0.12 | +0.08 | |
| Stuns landed | 0.00 | 0.08 | -0.08 | |
| Throw techs | 0.60 | 0.52 | +0.08 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Got stunned | 0.00 | 0.04 | -0.04 | |
| Throw parries | 0.20 | 0.22 | -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.
A.K.I. · Latest 100
What to improve
Find the cause of punish events
Got Punish Countered: profile 0.3 · 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
- Got Punish Countered: profile 0.3 · reference 0.1
- Punish Counters landed: profile 0.2 · reference 0.1
Make Drive Impact a deliberate choice
Drive Impact: profile 0.3 · reference 0.21
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 0.21
- Drive Impact gauge: profile 2.1% · reference 1.6%
Give each meter spend a purpose
Drive Rush (cancel): profile 4.9% · reference 23%
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 (cancel): profile 4.9% · reference 23%
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
Use matchup records as scouting leads
vs Yasmine: 151 wins in 206 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 Yasmine: 151 wins in 206 games
- vs JP: 68 wins in 143 games
- vs Luke: 51 wins in 103 games
Test the Drive Impact tendency
Drive Impact: profile 0.3 · reference 0.21
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 0.21
- Drive Impact gauge: profile 2.1% · reference 1.6%
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.3 · reference 0.1
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 0.3 · reference 0.1
- 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