Marisa
Updated 1 week agoSteamSteamJapanJapanC100%

Mercury

No Arguing
Rank 40
MR 1,601#89,061
Last 108–2+52Last 2017–3+117
Winrate
51%
66W · 63L · 129 stored
Ranked matches
129
selected mode
Wins
66
Ranked
Losses
63
Ranked
Peak MR
1,601
Marisa

Ranked MR · Marisa

129 local · 0 imported · 129 on chart · 189 battles stored

Latest game

VictoryRanked

Replay not requested
Marisa
Mercury · Marisa
JP
Opponent · JPレングス

Playstyle reference

Habits vs top 30 Marisa

Benchmark refreshed Sep 16, 2026, 1:28 PM

Latest reported trends across the last 100 matches, not lifetime habit averages. · Data details

Marisa
Mercury’s Marisa benchmark

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

Tucker Ducker 2257 · karura 2236 · jjnj 2164 · zeno 2163 · 紺外郎/Kon_Uiro 2158 · +25 others

Largest absolute differences first23 habits
HabitMercuryLegendsDifference LessLegendsMore
Drive Rush (cancel)15.3%27.7%-12.4%
SA28.9%17.8%-8.8%
SA339.3%34.5%+4.8%
Drive Rush (parry)12.9%9.6%+3.3%
SA141.1%38.1%+3.0%
Drive Arts17.9%19.6%-1.8%
Drive Guard16.7%15.1%+1.6%
Drive Impact gauge3.3%2.0%+1.2%
CA10.7%9.6%+1.1%
Got thrown3.102.31+0.79
Drive Parry0.901.50-0.60
Corner pressure9.209.73-0.53
Time cornered8.108.63-0.53
Throws1.702.01-0.31
Drive Reversal0.500.32+0.18
Perfect Parry0.400.55-0.15
Stuns landed0.000.11-0.11
Drive Impact0.300.21+0.09
Punish Counters landed0.200.12+0.08
Got Punish Countered0.200.12+0.08
Got stunned0.100.04+0.06
Throw parries0.300.25+0.05
Throw techs0.500.55-0.05
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. 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 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 0.2 · reference 0.11
    • Punish Counters landed: profile 0.2 · reference 0.12
  2. Review defensive decisions

    Drive Parry: profile 0.9 · reference 1.59

    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 Parry: profile 0.9 · reference 1.59
    • Perfect Parry: profile 0.4 · reference 0.6
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 53 wins in 100 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 53 wins in 100 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · 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 this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.2 · reference 0.11
  2. Probe defense before committing

    Drive Parry: profile 0.9 · 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 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 Parry: profile 0.9 · reference 1.59
    • Perfect Parry: profile 0.4 · reference 0.6
  3. Separate a tendency from a one-off event

    Recent stored ranked sample: 53 wins in 100 games

    Scout several recent matches and compare wins with losses. Prepare around a repeated situation rather than one memorable mistake.

    Try this

    Use 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: 53 wins in 100 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

Public data

Public statistics and datasets

Results from 189 of 189 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
116games
Losses
73games
Draws
0games
Games
189games
Win rate (draw = half win)
61.38%
Field definitions 5 fields
Wins
Wins · games. wins
Losses
Losses · games. losses
Draws
Draws · games. draws
Games
Games · games. total
Win rate (draw = half win)
Win rate (draw = half win) · percent. winRate Displayed to two decimal places; JSON retains full precision.

Current saved character ratings

11 rows

Scroll if needed to compare columns. Expand Details for the remaining fields.

Current saved character ratings. 11 rows on page 1; 11 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu0-1
Details for Current saved character ratings, row 1
Character ID
1
Luke0-1
Details for Current saved character ratings, row 2
Character ID
2
Zangief0-1
Details for Current saved character ratings, row 3
Character ID
6
JP0-1
Details for Current saved character ratings, row 4
Character ID
7
Cammy0-1
Details for Current saved character ratings, row 5
Character ID
9
Ken0-1
Details for Current saved character ratings, row 6
Character ID
10
Marisa1,601188,569
Details for Current saved character ratings, row 7
Character ID
17
E. Honda0-1
Details for Current saved character ratings, row 8
Character ID
20
Akuma0-1
Details for Current saved character ratings, row 9
Character ID
22
Mai0-1
Details for Current saved character ratings, row 10
Character ID
28
Random0-1
Details for Current saved character ratings, row 11
Character ID
254
Field definitions 4 fields
Character ID
Character ID · identifier. characterId
Character
Character · text. character
MR
Master Rating · MR points. mr
LP
League Points · LP points. lp

Last saved update: .

Latest saved profile; local results cover at most the newest 10,000 stored matches across all modes.

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