Jamie
Updated 2 days agoSteamSteamOtherOtherClub · GamersHeavenC100%

moposuke

I Need an E-Tank
Rank 36MR 1,562#125,160
Last 102–8-48Last 208–12-35
Winrate
55%
48W · 39L · 87 stored
Ranked matches
87
selected mode
Wins
48
Ranked
Losses
39
Ranked
Peak MR
1,652
Jamie

Ranked MR · Jamie

87 local · 0 imported · 87 on chart · 141 battles stored

Latest game

DefeatRanked

Replay not requested
Jamie
moposuke · Jamie
Rashid
Opponent · RashidKEETA

Playstyle reference

Habits vs top 30 Jamie

Benchmark refreshed Sep 13, 2026, 4:16 AM

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

Jamie
moposuke’s Jamie benchmark

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

blaz 2g 2279 · DFM竹内ジョン(新婚) 2170 · tsumugiZ 2160 · タンタンメン|LaVISION 2151 · Kazunoko 2143 · +25 others

Largest absolute differences first23 habits
HabitmoposukeLegendsDifference LessLegendsMore
CA22.8%9.8%+13.0%
SA210.9%21.4%-10.5%
Drive Rush (cancel)27.2%33.8%-6.6%
Drive Arts26.9%23.2%+3.7%
SA337.0%39.7%-2.8%
Drive Impact gauge4.0%1.4%+2.6%
Drive Rush (parry)7.2%5.7%+1.5%
Drive Guard12.1%11.0%+1.2%
Time cornered9.308.56+0.74
Got thrown1.602.15-0.55
Perfect Parry0.200.67-0.47
Drive Parry1.401.78-0.38
Throw techs0.100.40-0.30
SA129.3%29.0%+0.3%
Got Punish Countered0.200.06+0.14
Throws2.302.40-0.10
Corner pressure14.8014.89-0.09
Drive Impact0.300.21+0.09
Stuns landed0.000.08-0.08
Drive Reversal0.200.26-0.06
Got stunned0.100.06+0.04
Punish Counters landed0.100.07+0.03
Throw parries0.200.200.00
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.

Jamie · Latest 100

What to improve

  1. 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 4.1% · reference 1.5%
  2. Review close-range choices

    Throw techs: profile 0.2 · reference 0.42

    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 0.2 · reference 0.42
    • Throws: profile 2.4 · reference 2.38
    • Got thrown: profile 1.8 · reference 1.97
  3. Review defensive decisions

    Drive Parry: profile 2 · reference 1.7

    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 2 · reference 1.7
    • Perfect Parry: profile 0.4 · reference 0.6
    • Drive Reversal: profile 0.3 · reference 0.24

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: 31 wins in 70 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: 31 wins in 70 games
    • vs Ken: 38 wins in 65 games
    • vs Ryu: 26 wins in 58 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.4 · reference 0.2

    Observe whether Drive Impact repeats in a particular situation. Prepare a response you have verified in training, while respecting range, recovery and available gauge.

    Try this

    Revisit that situation with a less committal approach. If the Impact appears, use your practiced response; if it does not, resume your usual game plan.

    Supporting stats
    • Drive Impact: profile 0.4 · reference 0.2
    • Drive Impact gauge: profile 4.1% · reference 1.5%
  3. Test the close-range pattern

    Throw techs: profile 0.2 · reference 0.42

    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
    • Throw techs: profile 0.2 · reference 0.42
    • Throws: profile 2.4 · reference 2.38
    • Got thrown: profile 1.8 · reference 1.97

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

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