Latest game
VictoryRanked
MA
SAMAUpdated 13 hours ago
Steam
JapanC100%
SteamJapanC100%ふぇろもん
Let's Do This
MR 1,501#253,064Last 106–4+18Last 2012–8+30
Winrate
53%
46W · 40L · 86 stored
Ranked matches
86
selected mode
Wins
46
Ranked
Losses
40
Ranked
Peak MR
1,520
Marisa
Ranked MR · Marisa
84 local · 81 imported · 84 on chart · 179 battles stored
Replay not requested
MASAPlaystyle 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 | ふぇろもん | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| CA | 27.1% | 7.3% | +19.8% | |
| SA2 | 0.0% | 18.1% | -18.1% | |
| Drive Arts | 5.6% | 19.0% | -13.3% | |
| Drive Rush (cancel) | 19.2% | 29.3% | -10.1% | |
| SA1 | 35.4% | 41.8% | -6.4% | |
| Drive Guard | 20.4% | 14.5% | +5.8% | |
| Drive Rush (parry) | 14.3% | 8.9% | +5.4% | |
| SA3 | 37.5% | 32.8% | +4.7% | |
| Time cornered | 10.70 | 7.86 | +2.84 | |
| Got thrown | 3.60 | 2.20 | +1.40 | |
| Corner pressure | 8.70 | 10.02 | -1.32 | |
| Drive Impact gauge | 2.9% | 1.8% | +1.1% | |
| Perfect Parry | 0.20 | 0.59 | -0.39 | |
| Drive Parry | 1.30 | 1.56 | -0.26 | |
| Throw techs | 0.80 | 0.54 | +0.26 | |
| Drive Reversal | 0.10 | 0.33 | -0.23 | |
| Throws | 1.80 | 2.03 | -0.23 | |
| Got Punish Countered | 0.20 | 0.11 | +0.09 | |
| Throw parries | 0.20 | 0.28 | -0.08 | |
| Got stunned | 0.00 | 0.03 | -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
Find the cause of punish events
Got Punish Countered: profile 0.2 · 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
- Got Punish Countered: profile 0.2 · reference 0.11
- Punish Counters landed: profile 0.2 · reference 0.12
Review close-range choices
Throw techs: profile 0.8 · reference 0.52
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 0.8 · reference 0.52
- Got thrown: profile 3.1 · reference 2.3
Give each meter spend a purpose
Drive Arts: profile 5.7% · 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 5.7% · reference 18.5%
- SA2: profile 2.1% · reference 20.9%
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 8, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Use matchup records as scouting leads
vs Char 253: 220 wins in 419 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: 220 wins in 419 games
Probe defense before committing
Drive Parry: profile 1.4 · reference 1.59
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
- Drive Parry: profile 1.4 · reference 1.59
- Perfect Parry: profile 0.4 · reference 0.6
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 8, 2026 · AI: nex-agi/nex-n2.5-mini:free