Latest game
VictoryRanked
IN
ALINUpdated 17 hours ago
CrossPlatform
JapanM100%
CrossPlatformJapanM100%人工天然水
All According to Plan
MR 1,412#518,576Last 108–2+48Last 2012–8+28
Winrate
48%
140W · 151L · 291 stored
Ranked matches
291
selected mode
Wins
140
Ranked
Losses
151
Ranked
Peak MR
1,508
Ingrid
Ranked MR · Ingrid
285 local · 101 imported · 286 on chart · 291 battles stored
Replay not requested
INALPlaystyle 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
INLargest absolute differences first23 habits
| Habit | 人工天然水 | Legends | Difference | LessLegendsMore |
|---|---|---|---|---|
| SA2 | 35.0% | 57.0% | -22.0% | |
| Drive Rush (cancel) | 13.2% | 25.3% | -12.1% | |
| CA | 16.3% | 4.6% | +11.7% | |
| Drive Rush (parry) | 15.9% | 7.4% | +8.6% | |
| Drive Guard | 19.8% | 12.2% | +7.6% | |
| SA3 | 22.5% | 15.0% | +7.5% | |
| Corner pressure | 7.80 | 11.85 | -4.05 | |
| Drive Arts | 24.1% | 27.5% | -3.5% | |
| SA1 | 26.3% | 23.4% | +2.8% | |
| Time cornered | 7.90 | 10.23 | -2.33 | |
| Drive Impact gauge | 4.1% | 2.1% | +2.0% | |
| Throws | 1.50 | 2.31 | -0.81 | |
| Perfect Parry | 0.10 | 0.50 | -0.40 | |
| Got Punish Countered | 0.40 | 0.08 | +0.32 | |
| Drive Parry | 1.20 | 1.51 | -0.31 | |
| Throw techs | 0.20 | 0.41 | -0.21 | |
| Punish Counters landed | 0.30 | 0.13 | +0.17 | |
| Drive Impact | 0.40 | 0.27 | +0.13 | |
| Drive Reversal | 0.40 | 0.30 | +0.10 | |
| Throw parries | 0.20 | 0.28 | -0.08 | |
| Got stunned | 0.00 | 0.06 | -0.06 | |
| Stuns landed | 0.10 | 0.14 | -0.04 | |
| Got thrown | 2.10 | 2.13 | -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 0.3 · reference 0.13
Review defensive decisions
Drive Parry: profile 1.1 · 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 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 Parry: profile 1.1 · reference 1.51
- Drive Reversal: profile 0.4 · reference 0.3
Trace how you lose or gain space
Corner pressure: profile 7.8 · 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 thisRecreate 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 7.8 · reference 11.85
- Time cornered: profile 8.5 · 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free
How to beat this player
Test the Drive Impact tendency
Drive Impact: profile 0.4 · 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 0.4 · reference 0.27
- Drive Impact gauge: profile 4.2% · reference 2.1%
Probe defense before committing
Drive Parry: profile 1.1 · 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 thisTry 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 1.1 · reference 1.51
- Perfect Parry: profile 0.1 · reference 0.5
- Drive Reversal: profile 0.4 · reference 0.3
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 thisUse 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 12, 2026 · AI: nex-agi/nex-n2.5-mini:free