Latest game
VictoryRanked
INININUpdated 2 days ago
Steam
JapanC100%
SteamJapanC100%みるひー
Out-mash Their DP by One
MR 1,334#583,159Last 109–1+58Last 2015–5+73
Winrate
47%
71W · 79L · 150 stored
Ranked matches
150
selected mode
Wins
71
Ranked
Losses
79
Ranked
Peak MR
1,463
Ingrid
Ranked MR · Ingrid
78 local · 38 imported · 116 on chart · 161 battles stored
Replay not requested
ININPlaystyle 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
INLargest absolute differences first23 habits
| Habit | みるひー | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 15.6% | 52.1% | -36.6% | |
| Drive Rush (cancel) | 0.4% | 25.1% | -24.8% | |
| SA3 | 37.8% | 15.9% | +21.9% | |
| Drive Arts | 44.3% | 27.3% | +16.9% | |
| CA | 20.0% | 5.1% | +14.9% | |
| Drive Guard | 17.1% | 12.3% | +4.8% | |
| Drive Rush (parry) | 12.1% | 7.4% | +4.7% | |
| Corner pressure | 7.60 | 11.52 | -3.92 | |
| Throws | 4.00 | 2.26 | +1.74 | |
| Drive Impact gauge | 3.2% | 2.0% | +1.2% | |
| Time cornered | 9.30 | 10.40 | -1.10 | |
| Got Punish Countered | 0.40 | 0.09 | +0.31 | |
| Perfect Parry | 0.20 | 0.50 | -0.30 | |
| SA1 | 26.7% | 26.9% | -0.2% | |
| Throw parries | 0.10 | 0.29 | -0.19 | |
| Got thrown | 2.00 | 2.18 | -0.18 | |
| Punish Counters landed | 0.30 | 0.13 | +0.17 | |
| Drive Parry | 1.40 | 1.54 | -0.14 | |
| Stuns landed | 0.00 | 0.12 | -0.12 | |
| Drive Reversal | 0.40 | 0.31 | +0.09 | |
| Throw techs | 0.30 | 0.36 | -0.06 | |
| Drive Impact | 0.30 | 0.24 | +0.06 | |
| Got stunned | 0.10 | 0.07 | +0.03 |
FROM STATS TO PRACTICE
Latest 100Match plan
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
Find the cause of punish events
Got Punish Countered: profile 0.4 · 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 thisRecreate 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 0.4 · reference 0.08
- Punish Counters landed: profile 0.1 · reference 0.13
Review defensive decisions
Drive Reversal: profile 0.9 · 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 thisRecord 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 0.9 · reference 0.3
- Drive Parry: profile 0.8 · reference 1.51
- Perfect Parry: profile 0 · reference 0.5
Review close-range choices
Throws: profile 3.8 · reference 2.31
Look at five close-range exchanges. Separate throw opportunities, throw attempts and defensive choices; the aggregate counts cannot show which option was correct.
Try thisReplay 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
- Throws: profile 3.8 · reference 2.31
- Throw techs: profile 0.2 · 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 7, 2026 · AI: nex-agi/nex-n2.5-pro:free
How to beat this player
Look for a repeatable punish opportunity
Got Punish Countered: profile 0.4 · 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 thisTest 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 0.4 · reference 0.08
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 thisRevisit 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 2.3% · reference 2.1%
Test the close-range pattern
Throws: profile 3.8 · 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 thisIf 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 3.8 · reference 2.31
- Throw techs: profile 0.2 · 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 7, 2026 · AI: nex-agi/nex-n2.5-pro:free