Jamie
Updated 4 days agoSteamSteamJapanJapanC100%

おーもり

Martial Arts Master
Rank 36MR 1,557#126,687
Last 105–5+4Last 209–11-12
Winrate
52%
36W · 33L · 69 stored
Ranked matches
69
selected mode
Wins
36
Ranked
Losses
33
Ranked
Peak MR
1,569
Jamie

Ranked MR · Jamie

68 local · 0 imported · 68 on chart · 69 battles stored

Latest game

VictoryRanked

Replay not requested
Jamie
おーもり · Jamie
Cammy
Opponent · Cammyotoku76

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
おーもり’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
HabitおーもりLegendsDifference LessLegendsMore
SA25.1%21.4%-16.3%
SA353.2%39.7%+13.4%
CA19.0%9.8%+9.1%
Drive Arts15.2%23.2%-8.0%
SA122.8%29.0%-6.3%
Drive Guard15.0%11.0%+4.0%
Drive Parry4.001.78+2.22
Corner pressure13.3014.89-1.59
Drive Impact gauge2.7%1.4%+1.3%
Drive Rush (cancel)34.7%33.8%+0.8%
Drive Reversal0.900.26+0.64
Drive Rush (parry)6.1%5.7%+0.4%
Time cornered8.908.56+0.34
Perfect Parry0.900.67+0.23
Throws2.602.40+0.20
Drive Impact0.400.21+0.19
Got thrown2.302.15+0.15
Punish Counters landed0.200.07+0.13
Got Punish Countered0.000.06-0.06
Got stunned0.100.06+0.04
Stuns landed0.100.08+0.02
Throw techs0.400.400.00
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. Find the cause of punish events

    Got Punish Countered: profile 0 · reference 0.08

    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 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.07
  2. Review defensive decisions

    Drive Parry: profile 4 · 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 4 · reference 1.7
    • Perfect Parry: profile 0.9 · reference 0.6
    • Drive Reversal: profile 0.9 · reference 0.24
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 36 wins in 69 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: 36 wins in 69 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

How to beat this player

  1. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0 · reference 0.08

    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 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.07
  2. Probe defense before committing

    Drive Reversal: profile 0.9 · reference 0.24

    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 0.9 · reference 0.24
    • Drive Parry: profile 4 · reference 1.7
    • Perfect Parry: profile 0.9 · reference 0.6
  3. Test the close-range pattern

    Got thrown: profile 2.3 · reference 1.97

    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
    • Got thrown: profile 2.3 · reference 1.97
    • Throws: profile 2.6 · reference 2.38
    • Throw techs: profile 0.4 · reference 0.42

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