Ingrid
Updated 17 hours agoSteamSteamJapanJapanC100%

bitter

Thou Hast Witnessed the Power
Rank 36MR 1,500#258,362
Last 109–1Last 2015–5
Winrate
61%
39W · 25L · 64 stored
Ranked matches
64
selected mode
Wins
39
Ranked
Losses
25
Ranked
Peak MR
1,500
Ingrid

Ranked MR · Ingrid

0 local · 1 imported · 1 on chart · 64 battles stored

Not enough ranked MR points in this range yet.

Latest game

VictoryRanked

Replay not requested
Ingrid
bitter · Ingrid
Dhalsim
Opponent · Dhalsimgnk5959

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
bitter’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
HabitbitterLegendsDifference LessLegendsMore
SA383.3%15.9%+67.4%
SA24.2%52.1%-48.0%
SA10.0%26.9%-26.9%
Drive Guard4.6%12.3%-7.7%
CA12.5%5.1%+7.4%
Corner pressure6.2011.52-5.32
Drive Arts32.3%27.3%+5.0%
Drive Rush (parry)4.0%7.4%-3.4%
Drive Impact gauge4.2%2.0%+2.2%
Drive Parry0.101.54-1.44
Time cornered11.5010.40+1.10
Drive Rush (cancel)25.7%25.1%+0.6%
Got thrown1.602.18-0.58
Perfect Parry0.000.50-0.50
Throws2.602.26+0.34
Drive Reversal0.600.31+0.29
Throw techs0.100.36-0.26
Got Punish Countered0.300.09+0.21
Throw parries0.100.29-0.19
Got stunned0.000.07-0.07
Drive Impact0.200.24-0.04
Punish Counters landed0.100.13-0.03
Stuns landed0.100.12-0.02
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 0.3 · 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 0.3 · reference 0.08
    • Punish Counters landed: profile 0.1 · reference 0.13
  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.2 · reference 0.27

    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 0.2 · reference 0.27
    • Drive Impact gauge: profile 4.2% · reference 2.1%
  3. Compare decisions across wins and losses

    Recent stored ranked sample: 39 wins in 64 games

    Choose two wins and two losses from the recent stored sample. Find one decision that changes between them; the record alone cannot explain why results changed.

    Try this

    Write down one specific decision to test in your next five games. Review whether you executed it and what happened, rather than judging the drill only by wins.

    Supporting stats
    • Recent stored ranked sample: 39 wins in 64 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

How to beat this player

  1. Test the Drive Impact tendency

    Drive Impact: profile 0.2 · 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 0.2 · reference 0.27
    • Drive Impact gauge: profile 4.2% · reference 2.1%
  2. Probe defense before committing

    Drive Reversal: profile 0.6 · 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 0.6 · reference 0.3
    • Drive Parry: profile 0.1 · reference 1.51
    • Perfect Parry: profile 0 · reference 0.5
  3. Separate a tendency from a one-off event

    Recent stored ranked sample: 39 wins in 64 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: 39 wins in 64 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free

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