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DefeatCasual
MA
MAMAUpdated 5 days ago
Steam
JapanClub · SUZUKIdeSUZUKIC100%
SteamJapanClub · SUZUKIdeSUZUKIC100%ねこまさ
Hit Me With Your Best Shot!
MR 1,800#11,430Last 106–4+16Last 2013–7+54
Winrate
53%
24W · 21L · 45 stored
Ranked matches
45
selected mode
Wins
24
Ranked
Losses
21
Ranked
Peak MR
1,800
Marisa
Ranked MR · Marisa
45 local · 0 imported · 45 on chart · 134 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 | ねこまさ | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA3 | 18.8% | 32.8% | -13.9% | |
| SA1 | 50.7% | 41.8% | +8.9% | |
| Drive Arts | 11.5% | 19.0% | -7.4% | |
| Time cornered | 13.20 | 7.86 | +5.34 | |
| Corner pressure | 5.90 | 10.02 | -4.12 | |
| Drive Rush (cancel) | 33.1% | 29.3% | +3.8% | |
| CA | 10.1% | 7.3% | +2.8% | |
| SA2 | 20.3% | 18.1% | +2.2% | |
| Drive Rush (parry) | 6.9% | 8.9% | -2.0% | |
| Drive Guard | 13.6% | 14.5% | -1.0% | |
| Got thrown | 3.10 | 2.20 | +0.90 | |
| Drive Parry | 2.10 | 1.56 | +0.54 | |
| Throw techs | 0.90 | 0.54 | +0.36 | |
| Drive Impact gauge | 1.5% | 1.8% | -0.3% | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Perfect Parry | 0.50 | 0.59 | -0.09 | |
| Throw parries | 0.20 | 0.28 | -0.08 | |
| Got stunned | 0.10 | 0.03 | +0.07 | |
| Throws | 2.10 | 2.03 | +0.07 | |
| Drive Reversal | 0.30 | 0.33 | -0.03 | |
| Punish Counters landed | 0.10 | 0.11 | -0.01 | |
| Stuns landed | 0.10 | 0.09 | +0.01 | |
| 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
Throw techs: profile 0.9 · reference 0.52
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
- Throw techs: profile 0.9 · reference 0.52
- Drive Parry: profile 2.1 · reference 1.59
Give each meter spend a purpose
Drive Arts: profile 11.5% · reference 18.5%
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 Arts: profile 11.5% · reference 18.5%
- SA3: profile 18.8% · reference 34.5%
Find the cause of punish events
Punish Counters landed: profile 0.1 · reference 0.12
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 0.1 · reference 0.12
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 9, 2026 · AI: dots-studio/dots-3-note-preview:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 858 wins in 1,679 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 Char 253: 858 wins in 1,679 games
- vs Luke: 115 wins in 264 games
- vs Yasmine: 71 wins in 115 games
Separate a tendency from a one-off event
Recent stored ranked sample: 24 wins in 45 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: 24 wins in 45 games
Build pressure without overextending
Corner pressure: profile 5.9 · 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 5.9 · reference 10.2
- Time cornered: profile 13.2 · 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 9, 2026 · AI: dots-studio/dots-3-note-preview:free