Ingrid
Updated 1 week agoSteamSteamJapanJapanM100%

ラッシュ中段ジャスーパくん

Fights for Love
Rank 36MR 1,604#77,196
Last 105–5-3Last 205–8-28
Winrate
38%
5W · 8L · 13 stored
Ranked matches
13
selected mode
Wins
5
Ranked
Losses
8
Ranked
Peak MR
1,615
Ingrid

Ranked MR · Ingrid

13 local · 0 imported · 13 on chart · 54 battles stored

Latest game

VictoryBattle Hub

Replay not requested
Ingrid
ponnn55 · Ingrid
Jamie
Opponent · JamieZAKIO_PC

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
ラッシュ中段ジャスーパくん’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
Habitラッシュ中段ジャスーパくんLegendsDifference LessLegendsMore
SA228.3%52.1%-23.8%
SA335.0%15.9%+19.1%
CA18.3%5.1%+13.3%
Drive Rush (cancel)12.6%25.1%-12.6%
SA118.3%26.9%-8.6%
Corner pressure4.4011.52-7.12
Time cornered13.8010.40+3.40
Drive Guard15.3%12.3%+2.9%
Drive Rush (parry)10.2%7.4%+2.8%
Drive Arts28.9%27.3%+1.6%
Drive Impact gauge1.1%2.0%-0.8%
Throws1.602.26-0.66
Perfect Parry0.200.50-0.30
Drive Reversal0.600.31+0.29
Got thrown2.002.18-0.18
Drive Parry1.701.54+0.16
Throw techs0.200.36-0.16
Stuns landed0.000.12-0.12
Got stunned0.000.07-0.07
Drive Impact0.200.24-0.04
Punish Counters landed0.100.13-0.03
Throw parries0.300.29+0.01
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. Review close-range choices

    Throw techs: profile 0.2 · reference 0.41

    Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.

    Try this

    Replay one recurring situation in training with both a strike and a throw recorded. Practice your chosen responses, then check how often you make that choice deliberately in matches.

    Supporting stats
    • Throw techs: profile 0.2 · reference 0.41
    • Got thrown: profile 2 · reference 2.13
    • Throws: profile 1.6 · reference 2.31
  2. Review defensive decisions

    Drive Reversal: profile 0.6 · 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 0.6 · reference 0.3
    • Perfect Parry: profile 0.2 · reference 0.5
    • Drive Parry: profile 1.7 · reference 1.51
  3. Give each meter spend a purpose

    SA3: profile 35% · reference 15%

    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
    • SA3: profile 35% · reference 15%
    • CA: profile 18.3% · reference 4.6%
    • SA2: profile 28.3% · reference 57%

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. 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
    • Perfect Parry: profile 0.2 · 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
  3. Build pressure without overextending

    Corner pressure: profile 4.4 · 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 4.4 · reference 11.85
    • Time cornered: profile 13.8 · 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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