Latest game
DefeatRanked
MA
LUMAUpdated 1 day ago
Steam
JapanClub · PFPFclubC100%
SteamJapanClub · PFPFclubC100%hi69n
Love is a Fire, And it Burns
MR 1,613#68,261Last 103–7-31Last 207–13-46
Winrate
50%
86W · 85L · 171 stored
Ranked matches
171
selected mode
Wins
86
Ranked
Losses
85
Ranked
Peak MR
1,680
Mai
Ranked MR · Mai
171 local · 96 imported · 192 on chart · 200 battles stored
Available
MALUPlaystyle reference
Habits vs top 30 Mai
Benchmark refreshed Sep 13, 2026, 7:18 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | hi69n | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| Drive Rush (cancel) | 0.5% | 29.4% | -28.8% | |
| SA1 | 70.8% | 54.6% | +16.2% | |
| SA3 | 4.4% | 18.6% | -14.2% | |
| Drive Arts | 35.6% | 22.7% | +12.8% | |
| Drive Impact gauge | 5.6% | 1.3% | +4.2% | |
| Drive Rush (parry) | 11.2% | 7.5% | +3.7% | |
| Corner pressure | 9.50 | 12.99 | -3.49 | |
| Drive Guard | 16.9% | 13.4% | +3.5% | |
| CA | 5.3% | 6.6% | -1.3% | |
| SA2 | 19.5% | 20.2% | -0.7% | |
| Time cornered | 9.90 | 9.32 | +0.58 | |
| Perfect Parry | 0.20 | 0.70 | -0.50 | |
| Drive Impact | 0.60 | 0.19 | +0.41 | |
| Punish Counters landed | 0.40 | 0.10 | +0.30 | |
| Got thrown | 2.50 | 2.23 | +0.27 | |
| Throw techs | 0.70 | 0.46 | +0.24 | |
| Got Punish Countered | 0.30 | 0.07 | +0.23 | |
| Throws | 2.30 | 2.49 | -0.19 | |
| Drive Reversal | 0.00 | 0.19 | -0.19 | |
| Drive Parry | 1.70 | 1.87 | -0.17 | |
| Got stunned | 0.10 | 0.05 | +0.05 | |
| Stuns landed | 0.10 | 0.06 | +0.04 | |
| Throw parries | 0.30 | 0.26 | +0.04 |
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.
Mai · Latest 100
What to improve
Find the cause of punish events
Punish Counters landed: profile 0.4 · reference 0.11
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 0.4 · reference 0.11
- Got Punish Countered: profile 0.3 · reference 0.08
Make Drive Impact a deliberate choice
Drive Impact: profile 0.6 · 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 0.6 · reference 0.16
- Drive Impact gauge: profile 6.1% · reference 1.2%
Give each meter spend a purpose
Drive Rush (cancel): profile 0.8% · reference 32.3%
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 0.8% · reference 32.3%
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
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.4 · reference 0.11
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
- Punish Counters landed: profile 0.4 · reference 0.11
- Got Punish Countered: profile 0.3 · reference 0.08
Test the Drive Impact tendency
Drive Impact: profile 0.6 · 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 0.6 · reference 0.16
- Drive Impact gauge: profile 6.1% · reference 1.2%
Probe defense before committing
Throw techs: profile 0.8 · reference 0.47
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
- Throw techs: profile 0.8 · reference 0.47
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