Marisa
Updated 2 days agoSteamSteamOtherOtherClub · BurnoutAddictsC100%

secnak

Out-mash Their DP by One
Rank 36
MR 1,312#609,483
Last 105–5-6Last 209–11-31
Winrate
50%
94W · 94L · 188 stored
Ranked matches
188
selected mode
Wins
94
Ranked
Losses
94
Ranked
Peak MR
1,448
Marisa

Ranked MR · Marisa

188 local · 169 imported · 300 on chart · 188 battles stored

Latest game

DefeatRanked

Replay not requested
Marisa
secnak · Marisa
Ed
Opponent · Edドスイワタニ

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
secnak’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
HabitsecnakLegendsDifference LessLegendsMore
Drive Arts49.0%19.6%+29.4%
SA164.0%38.1%+25.9%
Drive Rush (cancel)3.1%27.7%-24.7%
SA310.4%34.5%-24.1%
Drive Guard3.8%15.1%-11.3%
CA0.6%9.6%-9.0%
SA225.0%17.8%+7.2%
Drive Rush (parry)2.8%9.6%-6.8%
Drive Impact gauge8.2%2.0%+6.1%
Corner pressure5.109.73-4.63
Time cornered6.908.63-1.73
Drive Parry0.201.50-1.30
Drive Reversal1.400.32+1.08
Perfect Parry0.000.55-0.55
Throw techs0.000.55-0.55
Drive Impact0.700.21+0.49
Got thrown1.902.31-0.41
Throws2.302.01+0.29
Punish Counters landed0.400.12+0.28
Got Punish Countered0.400.12+0.28
Got stunned0.200.04+0.16
Stuns landed0.000.11-0.11
Throw parries0.200.25-0.05
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 0.6 · 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 0.6 · reference 0.11
    • Punish Counters landed: profile 0.2 · reference 0.12
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · 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 this

    Record 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 0.4 · reference 0.2
    • Drive Impact gauge: profile 6.5% · reference 1.9%
  3. Review defensive decisions

    Drive Parry: profile 0.2 · 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 0.2 · reference 1.59
    • Perfect Parry: profile 0 · 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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.6 · 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 0.6 · reference 0.11
  2. Probe defense before committing

    Drive Reversal: profile 1.1 · 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 1.1 · reference 0.32
    • Drive Parry: profile 0.2 · reference 1.59
    • Perfect Parry: profile 0 · reference 0.6
  3. Use matchup records as scouting leads

    vs Juri: 31 wins in 71 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 Juri: 31 wins in 71 games
    • vs Akuma: 65 wins in 136 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-pro:free

Public data

Public statistics and datasets

Results from 188 of 188 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
94games
Losses
94games
Draws
0games
Games
188games
Win rate (draw = half win)
50%
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

6 rows

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

Current saved character ratings. 6 rows on page 1; 6 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu0-1
Details for Current saved character ratings, row 1
Character ID
1
Cammy0-1
Details for Current saved character ratings, row 2
Character ID
9
Marisa1,312200,212
Details for Current saved character ratings, row 3
Character ID
17
Terry0-1
Details for Current saved character ratings, row 4
Character ID
27
Mai0-1
Details for Current saved character ratings, row 5
Character ID
28
Alex0-1
Details for Current saved character ratings, row 6
Character ID
31
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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