Manon
Updated 3 hours agoSteamSteamJapanJapanC100%

THE END

Un, Deux, Trois!
Rank 36MR 1,585#108,824
Last 106–4+11Last 2011–9+12
Winrate
49%
64W · 66L · 130 stored
Ranked matches
130
selected mode
Wins
64
Ranked
Losses
66
Ranked
Peak MR
1,599
Manon

Ranked MR · Manon

130 local · 0 imported · 130 on chart · 251 battles stored

Latest game

VictoryBattle Hub

Replay not requested
Manon
THE END · Manon
C. Viper
Opponent · C. Viperaifa

Playstyle reference

Habits vs top 30 Manon

Benchmark refreshed Sep 7, 2026, 7:24 AM

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

Manon
THE END’s Manon benchmark

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

Babaaaaa 2207 · あくたがわ 2200 · Siinon 2081 · ジェットドン@Twitch 2067 · RANDUMB 2066 · +25 others

Largest absolute differences first23 habits
HabitTHE ENDLegendsDifference LessLegendsMore
SA252.5%32.1%+20.5%
SA16.8%25.4%-18.6%
Drive Arts2.5%11.3%-8.9%
CA3.4%9.7%-6.3%
Drive Rush (cancel)48.2%43.0%+5.2%
Corner pressure3.208.16-4.96
SA337.3%32.9%+4.4%
Drive Rush (parry)3.2%5.0%-1.8%
Drive Impact gauge1.0%1.8%-0.8%
Time cornered9.308.72+0.58
Throw techs0.000.56-0.56
Drive Guard11.7%11.3%+0.4%
Throws2.302.53-0.23
Got thrown2.102.28-0.18
Drive Impact0.100.22-0.12
Drive Parry1.901.80+0.10
Throw parries0.100.20-0.10
Drive Reversal0.200.30-0.10
Stuns landed0.000.07-0.07
Punish Counters landed0.100.14-0.04
Perfect Parry0.600.64-0.04
Got stunned0.100.06+0.04
Got Punish Countered0.100.11-0.01
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.

Manon · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · reference 0.21

    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 0.1 · reference 0.21
    • Drive Impact gauge: profile 1.4% · reference 1.7%
  2. Review close-range choices

    Throw techs: profile 0 · reference 0.5

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay 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 · reference 0.5
    • Got thrown: profile 1.8 · reference 2.19
  3. Trace how you lose or gain space

    Corner pressure: profile 3.8 · reference 8

    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 3.8 · reference 8
    • Time cornered: profile 6.2 · reference 8.88

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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Luke: 53 wins in 175 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 Luke: 53 wins in 175 games
    • vs Ryu: 54 wins in 124 games
    • vs Manon: 56 wins in 108 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 6, 2026 · AI: dots-studio/dots-3-note-preview:free

Privacy settings

Allow YouTube/Twitch media, usage analytics and remembered history? Choices last 180 days and can be withdrawn here anytime.

More options & details

Optional features are off until you choose them. You can change or withdraw your choices here at any time.

Security and storage needed for features you request remain available, including saved fighters, replay requests and feedback.

Choices are saved for 180 days on this device. Turning analytics off reloads this page to stop the loaded beacon.

Privacy & storage