Ingrid
Updated 2 hours agoCrossPlatformCrossPlatformJapanJapanC100%

BELLSHOP

Let's Do This
Rank 36MR 1,543#151,205
Last 106–4+16Last 2012–8+34
Winrate
54%
21W · 18L · 39 stored
Ranked matches
39
selected mode
Wins
21
Ranked
Losses
18
Ranked
Peak MR
1,551
Ingrid

Ranked MR · Ingrid

39 local · 0 imported · 39 on chart · 39 battles stored

Latest game

DefeatRanked

Replay not requested
Ingrid
BELLSHOP · Ingrid
C. Viper
Opponent · C. Viperポートガス

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
BELLSHOP’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
HabitBELLSHOPLegendsDifference LessLegendsMore
Corner pressure5.4011.85-6.45
CA10.0%4.6%+5.4%
Drive Rush (cancel)20.3%25.3%-5.0%
SA118.6%23.4%-4.8%
SA252.9%57.0%-4.2%
SA318.6%15.0%+3.6%
Drive Rush (parry)10.5%7.4%+3.2%
Drive Guard14.4%12.2%+2.3%
Time cornered12.2010.23+1.97
Drive Arts26.7%27.5%-0.9%
Drive Parry1.201.51-0.31
Perfect Parry0.300.50-0.20
Drive Reversal0.100.30-0.20
Got thrown2.002.13-0.13
Got Punish Countered0.200.08+0.12
Throw parries0.400.28+0.12
Throws2.202.31-0.11
Throw techs0.300.41-0.11
Drive Impact0.200.27-0.07
Drive Impact gauge2.1%2.1%-0.1%
Got stunned0.000.06-0.06
Stuns landed0.100.14-0.04
Punish Counters landed0.100.13-0.03
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 0.1 · reference 0.13
  2. Trace how you lose or gain space

    Corner pressure: profile 5.4 · reference 11.85

    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
    • Corner pressure: profile 5.4 · reference 11.85
    • Time cornered: profile 12.2 · reference 10.23
  3. Review defensive decisions

    Drive Reversal: profile 0.1 · 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 0.1 · reference 0.3
    • Perfect Parry: profile 0.3 · reference 0.5
    • Throw techs: profile 0.3 · reference 0.41

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free

How to beat this player

  1. 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 0.1 · reference 0.13
  2. 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 2.1% · reference 2.1%
  3. Test the close-range pattern

    Throws: profile 2.2 · 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 2.2 · reference 2.31
    • Throw techs: profile 0.3 · reference 0.41
    • Got thrown: profile 2 · reference 2.13

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 13, 2026 · AI: nex-agi/nex-n2.5-pro:free