Ingrid
Updated 2 days agoSteamSteamJapanJapanC100%

dizzy

Observer
Rank 40
MR 1,603#88,946
Last 106–4+15Last 2011–9+20
Winrate
55%
133W · 107L · 240 stored
Ranked matches
240
selected mode
Wins
133
Ranked
Losses
107
Ranked
Peak MR
1,617
Ingrid

Ranked MR · Ingrid

240 local · 120 imported · 292 on chart · 240 battles stored

Latest game

VictoryRanked

Replay not requested
Ingrid
dizzy · Ingrid
Ken
Opponent · Kentakamarup

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
dizzy’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
HabitdizzyLegendsDifference LessLegendsMore
SA230.0%52.1%-22.1%
Drive Arts10.2%27.3%-17.2%
SA141.7%26.9%+14.8%
Drive Rush (cancel)35.4%25.1%+10.3%
SA320.0%15.9%+4.1%
CA8.3%5.1%+3.3%
Time cornered13.3010.40+2.90
Drive Impact gauge0.4%2.0%-1.6%
Drive Guard13.8%12.3%+1.5%
Drive Rush (parry)8.1%7.4%+0.8%
Got thrown2.902.18+0.72
Corner pressure10.9011.52-0.62
Throw techs0.700.36+0.34
Drive Reversal0.000.31-0.31
Perfect Parry0.200.50-0.30
Drive Impact0.100.24-0.14
Punish Counters landed0.000.13-0.13
Stuns landed0.000.12-0.12
Throw parries0.200.29-0.09
Got stunned0.000.07-0.07
Throws2.302.26+0.04
Drive Parry1.501.54-0.04
Got Punish Countered0.100.09+0.01
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. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.1 · 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 0.1 · reference 0.27
    • Drive Impact gauge: profile 0.3% · reference 2.1%
  2. Review defensive decisions

    Perfect Parry: profile 0.2 · reference 0.5

    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
    • Perfect Parry: profile 0.2 · reference 0.5
    • Drive Parry: profile 1.1 · reference 1.51
    • Drive Reversal: profile 0 · reference 0.3
  3. Find the cause of punish events

    Punish Counters landed: profile 0.1 · 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 0.1 · reference 0.13
    • Got Punish Countered: profile 0.1 · reference 0.08

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. Use matchup records as scouting leads

    vs Char 253: 593 wins in 1,150 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 Char 253: 593 wins in 1,150 games
    • vs Ryu: 62 wins in 113 games
    • vs Luke: 47 wins in 100 games
  2. Separate a tendency from a one-off event

    Recent stored ranked sample: 50 wins in 90 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: 50 wins in 90 games
  3. Probe defense before committing

    Throw techs: profile 0.6 · reference 0.41

    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
    • Throw techs: profile 0.6 · reference 0.41
    • Got thrown: profile 3.1 · reference 2.13
    • Drive Parry: profile 1.1 · reference 1.51

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

Public data

Public statistics and datasets

Results from 240 of 240 stored matches. Explore the datasets for the full saved history.

Results in stored match sample

1 row
Wins
133games
Losses
107games
Draws
0games
Games
240games
Win rate (draw = half win)
55.42%
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

2 rows

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

Current saved character ratings. 2 rows on page 1; 2 rows total.
CharacterMRMR pointsLPLP pointsDetails
Juri0-1
Details for Current saved character ratings, row 1
Character ID
16
Ingrid1,603176,744
Details for Current saved character ratings, row 2
Character ID
32
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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