Marisa
Updated 24 hours agoCrossPlatformCrossPlatformJapanJapanClub · InfinitePhoenixM100%

GIPPO

GG
Rank 36MR 1,507#226,729
Last 106–4+19Last 2011–9+23
Winrate
57%
12W · 9L · 21 stored
Ranked matches
21
selected mode
Wins
12
Ranked
Losses
9
Ranked
Peak MR
1,522
Marisa

Ranked MR · Marisa

21 local · 0 imported · 21 on chart · 105 battles stored

Latest game

VictoryRanked

Replay not requested
Marisa
GIPPO · Marisa
Ingrid
Opponent · Ingrid光と闇を御す魔匠

Playstyle 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

Marisa
GIPPO’s Marisa benchmark

Compared with the average habits of the top 30 sampled Marisa players.

Tucker Ducker 2225 · karura 2205 · jjnj 2164 · kurobuchi_b09 2158 · 紺外郎/Kon_Uiro 2129 · +25 others

Largest absolute differences first23 habits
HabitGIPPOLegendsDifference LessLegendsMore
SA119.1%41.8%-22.6%
Drive Rush (cancel)13.0%29.3%-16.3%
SA348.9%32.8%+16.2%
CA17.0%7.3%+9.7%
Drive Arts12.2%19.0%-6.7%
Drive Guard18.0%14.5%+3.5%
SA214.9%18.1%-3.2%
Time cornered10.807.86+2.94
Corner pressure7.5010.02-2.52
Got thrown3.402.20+1.20
Throws1.302.03-0.73
Throw techs1.100.54+0.56
Drive Rush (parry)9.4%8.9%+0.5%
Drive Reversal0.700.33+0.37
Drive Parry1.801.56+0.24
Perfect Parry0.700.59+0.11
Drive Impact0.100.20-0.10
Stuns landed0.000.09-0.09
Drive Impact gauge1.9%1.8%+0.1%
Throw parries0.200.28-0.08
Got stunned0.100.03+0.07
Got Punish Countered0.100.11-0.01
Punish Counters landed0.100.11-0.01
FROM STATS TO PRACTICE

Match plan

Latest 100

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

  1. Review defensive decisions

    Drive Reversal: profile 0.7 · reference 0.32

    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 this

    Record 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
    • Drive Reversal: profile 0.7 · reference 0.32
    • Throw techs: profile 1.2 · reference 0.52
    • Got thrown: profile 3.5 · reference 2.3
  2. Trace how you lose or gain space

    Corner pressure: profile 7.8 · reference 10.2

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Corner pressure: profile 7.8 · reference 10.2
    • Time cornered: profile 12.3 · reference 8.39
  3. Find the cause of punish events

    Got Punish Countered: profile 0.1 · 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 this

    Recreate 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 0.1 · reference 0.11
    • 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 10, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 0.7 · reference 0.32

    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 this

    Try 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 Reversal: profile 0.7 · reference 0.32
    • Throw techs: profile 1.2 · reference 0.52
    • Got thrown: profile 3.5 · reference 2.3
  2. Test the close-range pattern

    Throws: profile 1.3 · reference 2.13

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 1.3 · reference 2.13
    • Throw techs: profile 1.2 · reference 0.52
    • Got thrown: profile 3.5 · reference 2.3
  3. Use matchup records as scouting leads

    vs Ryu: 101 wins in 216 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If 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 Ryu: 101 wins in 216 games
    • vs Terry: 62 wins in 123 games
    • vs Luke: 21 wins in 99 games

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 10, 2026 · AI: dots-studio/dots-3-note-preview:free

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