Elena
Updated 1 day agoSteamSteamMalaysiaMalaysiaClub · MalaysiaSFClubC100%

Zane

You've Got This, Juri!
Rank 40
MR 1,641#53,821
Last 104–6-30Last 209–11-37
Winrate
53%
146W · 129L · 275 stored
Ranked matches
275
selected mode
Wins
146
Ranked
Losses
129
Ranked
Peak MR
1,713
Elena

Ranked MR · Elena

275 local · 0 imported · 275 on chart · 347 battles stored

Latest game

DefeatCustom Room

Replay not requested
Elena
Zane · Elena
Jamie
Opponent · Jamiekronokat

Playstyle reference

Habits vs top 30 Elena

Benchmark refreshed Sep 13, 2026, 10:21 PM

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

Elena
Zane’s Elena benchmark

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

生駒デビル 2236 · kosaku 2212 · 今井 翔太 2209 · あくたがわ 2207 · @SycomのSeichi 2204 · +25 others

Largest absolute differences first23 habits
HabitZaneLegendsDifference LessLegendsMore
Drive Rush (cancel)22.3%31.0%-8.7%
SA220.0%26.3%-6.3%
Drive Rush (parry)12.4%7.5%+5.0%
Drive Guard18.6%13.8%+4.7%
SA336.7%32.8%+3.9%
Drive Arts14.7%18.1%-3.4%
Corner pressure9.9013.06-3.16
Drive Impact gauge3.9%1.2%+2.7%
CA11.1%9.5%+1.6%
Time cornered10.809.26+1.54
SA132.2%31.4%+0.8%
Throws1.602.14-0.54
Perfect Parry0.400.80-0.40
Got thrown2.502.24+0.26
Drive Impact0.300.15+0.15
Throw techs0.400.54-0.14
Got Punish Countered0.200.07+0.13
Punish Counters landed0.200.08+0.12
Drive Reversal0.300.22+0.08
Got stunned0.100.04+0.06
Drive Parry1.801.85-0.05
Stuns landed0.100.06+0.04
Throw parries0.200.19+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.

Elena · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.2 · reference 0.07

    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 0.2 · reference 0.07
    • Punish Counters landed: profile 0.3 · reference 0.08
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.5 · reference 0.17

    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 0.17
    • Drive Impact gauge: profile 3.9% · reference 1.4%
  3. Trace how you lose or gain space

    Time cornered: profile 10.1 · reference 8.42

    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
    • Time cornered: profile 10.1 · reference 8.42
    • Corner pressure: profile 12.9 · reference 13.58

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: 57 wins in 100 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: 57 wins in 100 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.5 · reference 0.17

    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 0.17
    • Drive Impact gauge: profile 3.9% · reference 1.4%
  3. Build pressure without overextending

    Time cornered: profile 10.1 · reference 8.42

    Look for chances to gain space with familiar options. Once the opponent is cornered, observe how they actually try to leave before selecting an adjustment.

    Try this

    Test one pressure sequence you know well. If an escape repeats, rehearse an answer to that exact option; if they vary their defense, avoid committing to a single read.

    Supporting stats
    • Time cornered: profile 10.1 · reference 8.42

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-mini:free

Public data

Public statistics and datasets

Results from 347 of 347 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
176games
Losses
171games
Draws
0games
Games
347games
Win rate (draw = half win)
50.72%
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

8 rows

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

Current saved character ratings. 8 rows on page 1; 8 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu1,38739,411
Details for Current saved character ratings, row 1
Character ID
1
Cammy1,459127,045
Details for Current saved character ratings, row 2
Character ID
9
A.K.I.0-1
Details for Current saved character ratings, row 3
Character ID
13
Ed0-1
Details for Current saved character ratings, row 4
Character ID
19
Akuma0-1
Details for Current saved character ratings, row 5
Character ID
22
Sagat0-1
Details for Current saved character ratings, row 6
Character ID
25
Mai0-1
Details for Current saved character ratings, row 7
Character ID
28
Elena1,641279,557
Details for Current saved character ratings, row 8
Character ID
29
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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