Latest game
DefeatRanked
MAMAMA
CrossPlatform
JapanM100%ichi
Millennium Gladiator
MR 1,563#117,042Last 104–6-13Last 2010–10-5
Winrate
53%
36W · 32L · 68 stored
Ranked matches
68
selected mode
Wins
36
Ranked
Losses
32
Ranked
Peak MR
1,671
Marisa
Ranked MR · Marisa
68 local · 0 imported · 68 on chart · 68 battles stored
Replay not requested
MAMAPlaystyle reference
Habits vs top 30 Marisa
Benchmark refreshed Sep 12, 2026, 4:25 PM
Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details
MALargest absolute differences first23 habits
| Habit | ichi | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 30.2% | 7.3% | +22.9% | |
| SA1 | 23.3% | 41.8% | -18.5% | |
| SA2 | 14.0% | 18.1% | -4.2% | |
| Drive Arts | 16.8% | 19.0% | -2.2% | |
| Corner pressure | 8.70 | 10.02 | -1.32 | |
| Drive Impact gauge | 2.6% | 1.8% | +0.8% | |
| Time cornered | 8.50 | 7.86 | +0.64 | |
| Throw techs | 0.10 | 0.54 | -0.44 | |
| Drive Rush (cancel) | 29.7% | 29.3% | +0.4% | |
| Perfect Parry | 0.20 | 0.59 | -0.39 | |
| SA3 | 32.6% | 32.8% | -0.2% | |
| Drive Rush (parry) | 8.7% | 8.9% | -0.2% | |
| Drive Parry | 1.70 | 1.56 | +0.14 | |
| Drive Guard | 14.4% | 14.5% | -0.1% | |
| Throw parries | 0.40 | 0.28 | +0.12 | |
| Punish Counters landed | 0.20 | 0.11 | +0.09 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Drive Reversal | 0.40 | 0.33 | +0.07 | |
| Throws | 2.00 | 2.03 | -0.03 | |
| Got Punish Countered | 0.10 | 0.11 | -0.01 | |
| Stuns landed | 0.10 | 0.09 | +0.01 | |
| Got thrown | 2.20 | 2.20 | +0.00 | |
| Drive Impact | 0.20 | 0.20 | +0.00 |
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.
Marisa · Latest 100
What to improve
Review defensive decisions
Perfect Parry: profile 0.2 · reference 0.6
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
- Perfect Parry: profile 0.2 · reference 0.6
- Throw techs: profile 0.1 · reference 0.52
Give each meter spend a purpose
SA1: profile 23.3% · reference 35.7%
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
- SA1: profile 23.3% · reference 35.7%
- SA2: profile 14% · reference 20.9%
Make Drive Impact a deliberate choice
Drive Impact: profile 0.2 · 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 0.2 · reference 0.2
- Drive Impact gauge: profile 2.6% · reference 1.9%
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
Look for a repeatable punish opportunity
Punish Counters landed: profile 0.2 · reference 0.12
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 0.2 · reference 0.12
Adapt to the visible gauge
CA: profile 30.2% · reference 9%
Watch current Drive and Super Art resources during the match. Treat the profile’s spending pattern as a question to investigate, not a prediction of burnout or a guaranteed opening.
Try thisAfter a large spend, reassess the options available to both players before approaching. If their resource decisions differ from the profile, follow the live situation.
Supporting stats
- CA: profile 30.2% · reference 9%
- SA3: profile 32.6% · reference 34.5%
Build pressure without overextending
Corner pressure: profile 8.7 · reference 10.2
Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.
Try thisTest one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.
Supporting stats
- Corner pressure: profile 8.7 · reference 10.2
- Time cornered: profile 8.5 · reference 8.39
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