J
Updated 3 days agoSteamJapanC100%

kuma

Let's Do This

Babe in the Woods

R36
MR 1,502#251,972
Last 105–5+5Last 208–12-28
Winrate
54%
49W · 42L · 91 stored
Ranked matches
91
selected mode
Wins
49
Ranked
Losses
42
Ranked
Peak MR
1,552
Jamie

Ranked MR · Jamie

91 local · 113 imported · 135 on chart · 91 battles stored

Latest game

VictoryRanked

Replay not requested
Jkuma · Jamie
IOpponent · Ingrid綾波pay

Playstyle reference

Habits vs top 30 Jamie

Benchmark refreshed Sep 17, 2026, 1:23 AM

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

J
kuma’s Jamie benchmark

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

blaz 2g 2368 · DFM竹内ジョン(新婚) 2170 · ナイト894@Twitch 2163 · Kazunoko 2158 · ゆーけー 2138 · +25 others

Largest absolute differences first23 habits
HabitkumaLegendsDifference LessLegendsMore
SA359.2%38.9%+20.3%
SA21.4%21.0%-19.6%
Drive Arts15.7%23.4%-7.7%
SA126.8%31.5%-4.8%
Drive Guard16.2%11.8%+4.3%
CA12.7%8.5%+4.1%
Drive Rush (parry)10.2%6.3%+3.9%
Corner pressure11.9015.38-3.48
Drive Rush (cancel)29.8%33.1%-3.3%
Drive Impact gauge2.9%1.4%+1.4%
Time cornered9.107.99+1.11
Drive Parry2.601.85+0.75
Perfect Parry0.200.71-0.51
Got thrown2.502.00+0.50
Throws2.802.41+0.39
Throw techs0.700.38+0.32
Drive Impact0.500.21+0.29
Drive Reversal0.000.27-0.27
Got Punish Countered0.200.07+0.13
Punish Counters landed0.200.08+0.12
Throw parries0.300.20+0.10
Got stunned0.100.07+0.03
Stuns landed0.100.08+0.02
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: 47 wins in 88 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: 47 wins in 88 games
  2. Study a recurring matchup situation

    vs Alex: 33 wins in 68 games

    Use the cited matchup record to choose footage to review. Look for a repeated decision across several losses, and compare it with a win before drawing a conclusion.

    Try this

    Pick one recurring situation against that character. Recreate it in training, verify an alternative response, and track that decision across the next five matches.

    Supporting stats
    • vs Alex: 33 wins in 68 games
    • vs Ingrid: 19 wins in 38 games
  3. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.5 · 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 0.5 · reference 0.21

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 15, 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: 47 wins in 88 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: 47 wins in 88 games
  2. Use matchup records as scouting leads

    vs Alex: 33 wins in 68 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 Alex: 33 wins in 68 games
    • vs Ingrid: 19 wins in 38 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · reference 0.21

    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 0.5 · reference 0.21

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 15, 2026 · AI: nex-agi/nex-n2.5-mini:free

Public data

Public statistics and datasets

Results from 91 of 91 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
49games
Losses
42games
Draws
0games
Games
91games
Win rate (draw = half win)
53.85%
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

13 rows

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

Current saved character ratings. 13 rows on page 1; 13 rows total.
CharacterMRMR pointsLPLP pointsDetails
Luke0-1
Details for Current saved character ratings, row 1
Character ID
2
Manon0-1
Details for Current saved character ratings, row 2
Character ID
5
JP0-1
Details for Current saved character ratings, row 3
Character ID
7
Cammy0-1
Details for Current saved character ratings, row 4
Character ID
9
Ken0-1
Details for Current saved character ratings, row 5
Character ID
10
Juri0-1
Details for Current saved character ratings, row 6
Character ID
16
Marisa0-1
Details for Current saved character ratings, row 7
Character ID
17
Ed0-1
Details for Current saved character ratings, row 8
Character ID
19
Jamie1,502149,712
Details for Current saved character ratings, row 9
Character ID
21
Akuma0-1
Details for Current saved character ratings, row 10
Character ID
22
Sagat0-1
Details for Current saved character ratings, row 11
Character ID
25
Mai0-1
Details for Current saved character ratings, row 12
Character ID
28
Random0-1
Details for Current saved character ratings, row 13
Character ID
254
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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