Jamie
Updated 4 days agoSteamSteamJapanJapanC100%

success

The Master Jamie Lifestyle
Rank 36MR 1,607#71,688
Last 107–3+25Last 2014–6+55
Winrate
50%
48W · 48L · 96 stored
Ranked matches
96
selected mode
Wins
48
Ranked
Losses
48
Ranked
Peak MR
1,646
Jamie

Ranked MR · Jamie

96 local · 0 imported · 96 on chart · 126 battles stored

Latest game

DefeatRanked

Replay not requested
Jamie
success · Jamie
Ingrid
Opponent · IngridRUKI

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
success’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
HabitsuccessLegendsDifference LessLegendsMore
SA353.3%39.7%+13.6%
SA118.3%29.0%-10.7%
Drive Arts29.5%23.2%+6.2%
Time cornered6.208.56-2.36
Drive Rush (cancel)31.5%33.8%-2.3%
CA8.3%9.8%-1.5%
SA220.0%21.4%-1.4%
Drive Impact gauge2.3%1.4%+1.0%
Got thrown1.702.15-0.45
Throw techs0.000.40-0.40
Corner pressure14.5014.89-0.39
Drive Rush (parry)5.9%5.7%+0.2%
Perfect Parry0.500.67-0.17
Drive Reversal0.100.26-0.16
Drive Impact0.300.21+0.09
Drive Parry1.701.78-0.08
Stuns landed0.000.08-0.08
Got stunned0.000.06-0.06
Got Punish Countered0.100.06+0.04
Punish Counters landed0.100.07+0.03
Drive Guard11.0%11.0%-0.0%
Throws2.402.40+0.00
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. Compare decisions across wins and losses

    Recent stored ranked sample: 48 wins in 94 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: 48 wins in 94 games
  2. Review close-range choices

    Throw techs: profile 0 · 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 · reference 0.42
  3. Review defensive decisions

    Drive Reversal: profile 0.1 · reference 0.24

    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 0.1 · 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 9, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Separate a tendency from a one-off event

    Recent stored ranked sample: 48 wins in 94 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: 48 wins in 94 games
  2. Use matchup records as scouting leads

    vs Char 253: 223 wins in 457 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 Char 253: 223 wins in 457 games
    • vs Luke: 27 wins in 56 games
    • vs Alex: 12 wins in 35 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · 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 0.3 · reference 0.2

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

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