Ingrid
Updated 5 days agoSteamSteamJapanJapanC100%

ore_desuyo

Thou Hast Witnessed the Power
Rank 36MR 1,449#437,840
Last 103–7-30Last 206–14-62
Winrate
51%
107W · 101L · 208 stored
Ranked matches
208
selected mode
Wins
107
Ranked
Losses
101
Ranked
Peak MR
1,565
Ingrid

Ranked MR · Ingrid

208 local · 0 imported · 208 on chart · 208 battles stored

Latest game

VictoryRanked

Replay not requested
Ingrid
ore_desuyo · Ingrid
Juri
Opponent · Jurinecod4yo

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
ore_desuyo’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
Habitore_desuyoLegendsDifference LessLegendsMore
SA24.0%57.0%-53.0%
SA344.0%15.0%+29.0%
CA20.0%4.6%+15.4%
Drive Arts15.4%27.5%-12.1%
SA132.0%23.4%+8.6%
Drive Rush (parry)12.7%7.4%+5.3%
Time cornered14.2010.23+3.97
Corner pressure8.2011.85-3.65
Drive Guard15.2%12.2%+3.0%
Throws3.702.31+1.39
Drive Impact gauge1.0%2.1%-1.2%
Drive Parry0.801.51-0.71
Got thrown2.802.13+0.67
Perfect Parry0.200.50-0.30
Drive Reversal0.000.30-0.30
Throw techs0.200.41-0.21
Stuns landed0.000.14-0.14
Drive Impact0.200.27-0.07
Got stunned0.000.06-0.06
Punish Counters landed0.100.13-0.03
Drive Rush (cancel)25.3%25.3%+0.0%
Got Punish Countered0.100.08+0.02
Throw parries0.300.28+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. Review defensive decisions

    Drive Reversal: profile 0 · 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 0 · reference 0.3
    • Perfect Parry: profile 0.2 · reference 0.5
    • Drive Parry: profile 1 · reference 1.51
  2. Find the cause of punish events

    Punish Counters landed: profile 0.2 · reference 0.13

    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 0.2 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.08
  3. Give each meter spend a purpose

    SA2: profile 0% · reference 57%

    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
    • SA2: profile 0% · reference 57%
    • SA3: profile 40.9% · reference 15%
    • CA: profile 22.7% · reference 4.6%

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 7, 2026 · AI: dots-studio/dots-3-note-preview: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 1% · reference 2.1%
  2. Test the close-range pattern

    Throws: profile 3.7 · reference 2.31

    Observe actual strike, throw and defensive choices at close range. Change one part of your familiar mix only after a tendency appears.

    Try this

    If the same response repeats twice, try a different option in that situation. If the player changes their response, return to varied choices instead of assuming the pattern is permanent.

    Supporting stats
    • Throws: profile 3.7 · reference 2.31
    • Got thrown: profile 2.7 · reference 2.13
  3. Build pressure without overextending

    Corner pressure: profile 7.4 · reference 11.85

    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 7.4 · reference 11.85
    • Time cornered: profile 14 · reference 10.23

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 7, 2026 · AI: dots-studio/dots-3-note-preview:free

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