Ingrid
Updated 2 days agoCrossPlatformCrossPlatformJapanJapanClub · motturiFGCC100%

好きなVtuber発表ドラゴン

Phase 12 Legend!
Rank 36MR 2,145#154
Last 105–5+6Last 2010–10-5
Winrate
57%
227W · 174L · 401 stored
Ranked matches
401
selected mode
Wins
227
Ranked
Losses
174
Ranked
Peak MR
2,207
Ingrid

Ranked MR · Ingrid

824 local · 0 imported · 824 on chart · 1006 battles stored

Latest game

VictoryRanked

Replay not requested
Ingrid
好きなVtuber発表ドラゴン · Ingrid
Ryu
Opponent · Ryuテイエム

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
好きなVtuber発表ドラゴン’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好きなVtuber発表ドラゴンLegendsDifference LessLegendsMore
SA138.9%23.4%+15.5%
SA242.9%57.0%-14.2%
Drive Arts19.2%27.5%-8.3%
Drive Guard20.3%12.2%+8.2%
Drive Rush (parry)13.1%7.4%+5.8%
SA312.7%15.0%-2.3%
Corner pressure13.9011.85+2.05
Time cornered8.7010.23-1.53
CA5.6%4.6%+1.0%
Drive Parry2.401.51+0.89
Drive Rush (cancel)26.1%25.3%+0.8%
Perfect Parry0.900.50+0.40
Got thrown1.902.13-0.23
Drive Reversal0.100.30-0.20
Throw techs0.600.41+0.19
Throws2.202.31-0.11
Drive Impact0.200.27-0.07
Stuns landed0.200.14+0.06
Got stunned0.000.06-0.06
Drive Impact gauge2.1%2.1%-0.0%
Punish Counters landed0.100.13-0.03
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. Find the cause of punish events

    Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.13
  2. Review defensive decisions

    Drive Parry: profile 3.1 · 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 3.1 · reference 1.51
    • Perfect Parry: profile 0.9 · reference 0.5
  3. Trace how you lose or gain space

    Time cornered: profile 8.8 · reference 10.23

    Review five trips into the corner. Identify the earlier decision that gave up space, not just the final escape attempt. Check successful corner pressure too.

    Try this

    Recreate one recurring position in training. Compare your usual response with a less committal alternative, then track whether you reach the corner less often over the next set.

    Supporting stats
    • Time cornered: profile 8.8 · reference 10.23
    • Corner pressure: profile 13.5 · reference 11.85

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-mini:free

How to beat this player

  1. Probe defense before committing

    Drive Parry: profile 3.1 · reference 1.51

    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 Parry: profile 3.1 · reference 1.51
    • Perfect Parry: profile 0.9 · reference 0.5
  2. Look for a repeatable punish opportunity

    Got Punish Countered: profile 0.1 · 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 0.1 · reference 0.08
    • Punish Counters landed: profile 0.2 · reference 0.13
  3. Separate a tendency from a one-off event

    Recent stored ranked sample: 56 wins in 100 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: 56 wins in 100 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-mini:free

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