Updated 7 days agoCrossPlatformJapanC100%

ahiru

Team IBSG

Fun-Loving Fighter

R41
MR 1,721#21,626
Last 106–4+16Last 2011–9+11
Winrate
56%
35W · 28L · 63 stored
Ranked matches
63
selected mode
Wins
35
Ranked
Losses
28
Ranked
Peak MR
1,726
Blanka

Ranked MR · Blanka

63 local · 0 imported · 63 on chart · 66 battles stored

Latest game

VictoryRanked

Replay not requested
ahiru · Blanka
Opponent · Sagat届かない夢を追うタイガーアパカ

Playstyle reference

Habits vs top 30 Blanka

Benchmark refreshed Sep 16, 2026, 7:20 AM

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

ahiru’s Blanka benchmark

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

高木サンダー 2224 · 光のZeno 2215 · ACQUA 2189 · NISHIKIN 2186 · big mo dilly 2158 · +25 others

Largest absolute differences first23 habits
HabitahiruLegendsDifference LessLegendsMore
Drive Rush (cancel)1.7%29.4%-27.7%
Drive Arts45.2%24.4%+20.8%
SA266.4%51.4%+15.0%
SA38.4%15.9%-7.5%
Corner pressure7.5011.99-4.49
CA0.0%4.2%-4.2%
Time cornered13.509.61+3.89
Drive Impact gauge5.6%1.7%+3.9%
SA125.2%28.5%-3.3%
Throws4.302.65+1.65
Drive Rush (parry)7.8%6.5%+1.3%
Drive Parry0.901.66-0.76
Drive Guard11.5%12.0%-0.6%
Got thrown1.601.96-0.36
Throw parries0.600.35+0.25
Drive Reversal0.700.46+0.24
Perfect Parry0.300.52-0.22
Throw techs0.100.32-0.22
Drive Impact0.400.22+0.18
Got stunned0.200.07+0.13
Got Punish Countered0.200.09+0.11
Punish Counters landed0.200.11+0.09
Stuns landed0.000.09-0.09
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

    Got Punish Countered: profile 0.2 · reference 0.09

    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 0.09
    • Punish Counters landed: profile 0.2 · reference 0.1
  2. Trace how you lose or gain space

    Corner pressure: profile 7.3 · reference 12.38

    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
    • Corner pressure: profile 7.3 · reference 12.38
    • Time cornered: profile 13.9 · reference 9.41
  3. Review defensive decisions

    Drive Parry: profile 1 · reference 1.79

    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 1 · reference 1.79
    • Perfect Parry: profile 0.3 · reference 0.54
    • Drive Reversal: profile 0.8 · reference 0.45

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 12, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Luke: 52 wins in 90 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 Luke: 52 wins in 90 games
    • vs Ken: 32 wins in 79 games
    • vs Yasmine: 33 wins in 65 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 30 wins in 55 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: 30 wins in 55 games
  3. Test the Drive Impact tendency

    Drive Impact: profile 0.4 · reference 0.23

    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 0.4 · reference 0.23
    • Drive Impact gauge: profile 5.5% · reference 1.8%

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 12, 2026 · AI: dots-studio/dots-3-note-preview:free

Public data

Public statistics and datasets

Results from 66 of 66 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
37games
Losses
29games
Draws
0games
Games
66games
Win rate (draw = half win)
56.06%
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

5 rows

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

Current saved character ratings. 5 rows on page 1; 5 rows total.
CharacterMRMR pointsLPLP pointsDetails
Ryu0-1
Details for Current saved character ratings, row 1
Character ID
1
Blanka1,721440,212
Details for Current saved character ratings, row 2
Character ID
15
Marisa0-1
Details for Current saved character ratings, row 3
Character ID
17
Elena0-1
Details for Current saved character ratings, row 4
Character ID
29
Random0-1
Details for Current saved character ratings, row 5
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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