Blanka
Updated 1 week agoSteamSteamJapanJapanClub · TERAHORNSC100%

ワイルドハント柴田

Go Beyond the Battle!
Rank 36MR 1,700#29,958
Last 106–4+13Last 209–11-15
Winrate
47%
15W · 17L · 32 stored
Ranked matches
32
selected mode
Wins
15
Ranked
Losses
17
Ranked
Peak MR
1,756
Blanka

Ranked MR · Blanka

32 local · 0 imported · 32 on chart · 32 battles stored

Latest game

VictoryRanked

Replay not requested
Blanka
ワイルドハント柴田 · Blanka
Kimberly
Opponent · Kimberlyひとよた

Playstyle reference

Habits vs top 30 Blanka

Benchmark refreshed Sep 12, 2026, 10:24 AM

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

Blanka
ワイルドハント柴田’s Blanka benchmark

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

ぼんぎ( ^ω^) 2042 · へかとん 2040 · StarPlatinumKB 2040 · KEY_ 2038 · 音割れモモンガ 2031 · +25 others

Largest absolute differences first23 habits
Habitワイルドハント柴田LegendsDifference LessLegendsMore
SA281.9%54.8%+27.1%
SA33.4%14.8%-11.4%
SA114.7%25.2%-10.6%
Drive Arts35.3%24.9%+10.4%
CA0.0%5.2%-5.2%
Drive Rush (parry)4.3%7.2%-3.0%
Time cornered11.409.41+1.99
Drive Rush (cancel)28.4%26.9%+1.5%
Corner pressure10.9012.16-1.26
Drive Parry2.501.61+0.89
Throws3.402.59+0.81
Drive Impact gauge0.9%1.7%-0.8%
Drive Guard12.2%12.7%-0.5%
Drive Reversal0.000.44-0.44
Throw techs0.100.32-0.22
Got thrown1.802.01-0.21
Got stunned0.200.06+0.14
Drive Impact0.100.21-0.11
Throw parries0.400.33+0.07
Perfect Parry0.500.52-0.02
Stuns landed0.100.09+0.01
Punish Counters landed0.100.09+0.01
Got Punish Countered0.100.10+0.00
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.

Blanka · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0.1 · reference 0.12

    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
    • Punish Counters landed: profile 0.1 · reference 0.12
    • Got Punish Countered: profile 0.1 · reference 0.09
  2. Review close-range choices

    Throws: profile 3.4 · reference 2.59

    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
    • Throws: profile 3.4 · reference 2.59
    • Throw techs: profile 0.1 · reference 0.33
    • Got thrown: profile 1.8 · reference 1.92
  3. Give each meter spend a purpose

    SA1: profile 14.7% · reference 28.1%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA1: profile 14.7% · reference 28.1%
    • SA2: profile 81.9% · reference 53.6%
    • SA3: profile 3.4% · reference 14.6%

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. Test the Drive Impact tendency

    Drive Impact: profile 0.1 · reference 0.25

    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 0.1 · reference 0.25
    • Drive Impact gauge: profile 0.9% · reference 1.9%
  2. Probe defense before committing

    Drive Parry: profile 2.5 · reference 1.71

    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 Parry: profile 2.5 · reference 1.71
    • Perfect Parry: profile 0.5 · reference 0.49
    • Drive Reversal: profile 0 · reference 0.44
  3. Build pressure without overextending

    Corner pressure: profile 10.9 · reference 12.12

    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
    • Corner pressure: profile 10.9 · reference 12.12
    • Time cornered: profile 11.4 · reference 9.14

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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