Ingrid
Updated 7 days agoSteamSteamJapanJapanC100%

猫型のアレ

Let's Do This
Rank 36MR 1,686#33,417
Last 107–3+32Last 2010–10-1
Winrate
43%
19W · 25L · 44 stored
Ranked matches
44
selected mode
Wins
19
Ranked
Losses
25
Ranked
Peak MR
1,714
Ingrid

Ranked MR · Ingrid

44 local · 0 imported · 44 on chart · 44 battles stored

Latest game

VictoryRanked

Replay not requested
Ingrid
猫型のアレ · Ingrid
Akuma
Opponent · Akumamitikannku

Playstyle reference

Habits vs top 30 Ingrid

Benchmark refreshed Sep 2, 2026, 4:15 PM

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

Ingrid
猫型のアレ’s Ingrid benchmark

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

m1Ng 2192 · ふみじま あきお(63) 2153 · カンフーマスターpc 2124 · 硝子ドール 2118 · Pat.Q 2105 · +25 others

Largest absolute differences first23 habits
Habit猫型のアレLegendsDifference LessLegendsMore
SA229.8%57.0%-27.2%
SA143.0%23.4%+19.6%
SA321.9%15.0%+6.9%
Drive Arts33.1%27.5%+5.6%
Drive Rush (cancel)21.0%25.3%-4.3%
Corner pressure8.0011.85-3.85
Drive Impact gauge4.2%2.1%+2.1%
Drive Rush (parry)6.0%7.4%-1.3%
Throws1.402.31-0.91
Got thrown1.402.13-0.73
CA5.3%4.6%+0.7%
Drive Reversal0.900.30+0.60
Drive Parry2.101.51+0.59
Drive Guard12.7%12.2%+0.5%
Time cornered10.6010.23+0.37
Throw techs0.100.41-0.31
Perfect Parry0.200.50-0.30
Throw parries0.100.28-0.18
Got Punish Countered0.200.08+0.12
Punish Counters landed0.200.13+0.07
Stuns landed0.200.14+0.06
Got stunned0.100.06+0.04
Drive Impact0.300.27+0.03
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.

Ingrid · Latest 100

What to improve

  1. Find the cause of punish events

    Got Punish Countered: profile 0.2 · 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 0.2 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.13
  2. Review close-range choices

    Throw techs: profile 0.1 · reference 0.41

    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
    • Throw techs: profile 0.1 · reference 0.41
    • Throws: profile 1.4 · reference 2.31
    • Got thrown: profile 1.4 · reference 2.13
  3. Review defensive decisions

    Drive Parry: profile 2.1 · reference 1.51

    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 2.1 · reference 1.51
    • Drive Reversal: profile 0.8 · reference 0.3
    • Perfect Parry: profile 0.2 · reference 0.5

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. Use matchup records as scouting leads

    vs Luke: 65 wins in 133 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: 65 wins in 133 games
    • vs Yasmine: 59 wins in 131 games
    • vs Alex: 64 wins in 111 games
  2. Test the Drive Impact tendency

    Drive Impact: profile 0.3 · reference 0.27

    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 0.3 · reference 0.27
    • Drive Impact gauge: profile 4.2% · reference 2.1%

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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