Ingrid
Updated 6 days agoCrossPlatformCrossPlatformJapanJapanClub · TeamHokkaidoC100%

ditto.

Thou Hast Witnessed the Power
Rank 36MR 1,617#61,297
Last 106–4+10Last 2011–9+15
Winrate
50%
44W · 44L · 88 stored
Ranked matches
88
selected mode
Wins
44
Ranked
Losses
44
Ranked
Peak MR
1,617
Ingrid

Ranked MR · Ingrid

88 local · 0 imported · 88 on chart · 88 battles stored

Latest game

DefeatRanked

Replay not requested
Yasmine
ditto. · Yasmine
Ingrid
Opponent · Ingridkyomukyomu

Playstyle reference

Habits vs top 30 Ingrid

Benchmark refreshed Sep 14, 2026, 7:22 AM

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

Ingrid
ditto.’s Ingrid benchmark

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

m1Ng 2201 · KR_Wrestlingman 2179 · Nth Oniki 2165 · プルプルなぷる 2156 · ふみじま あきお(63) 2155 · +25 others

Largest absolute differences first23 habits
Habitditto.LegendsDifference LessLegendsMore
SA112.9%26.9%-14.0%
Drive Arts15.5%27.3%-11.8%
SA261.3%52.1%+9.1%
SA321.0%15.9%+5.1%
Drive Rush (cancel)21.3%25.1%-3.8%
Corner pressure8.1011.52-3.42
Drive Impact gauge4.2%2.0%+2.2%
Drive Reversal1.000.31+0.69
Drive Rush (parry)8.0%7.4%+0.6%
Throws1.802.26-0.46
Drive Guard12.6%12.3%+0.3%
Perfect Parry0.200.50-0.30
CA4.8%5.1%-0.2%
Drive Parry1.301.54-0.24
Got thrown2.002.18-0.18
Got Punish Countered0.200.09+0.11
Throw parries0.200.29-0.09
Punish Counters landed0.200.13+0.07
Got stunned0.000.07-0.07
Throw techs0.300.36-0.06
Drive Impact0.300.24+0.06
Stuns landed0.100.12-0.02
Time cornered10.4010.40-0.00
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.

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 defensive decisions

    Drive Reversal: profile 1 · reference 0.3

    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 Reversal: profile 1 · reference 0.3
    • Perfect Parry: profile 0.2 · reference 0.5
  3. Study a recurring matchup situation

    vs A.K.I.: 7 wins in 22 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 A.K.I.: 7 wins in 22 games
    • vs Elena: 12 wins in 20 games
    • vs Chun-Li: 7 wins in 14 games

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-pro:free

How to beat this player

  1. Probe defense before committing

    Drive Reversal: profile 1 · reference 0.3

    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 Reversal: profile 1 · reference 0.3
    • Perfect Parry: profile 0.2 · reference 0.5
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.2 · reference 0.08

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Got Punish Countered: profile 0.2 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.13
  3. 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 9, 2026 · AI: nex-agi/nex-n2.5-pro:free

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