Potato Aim

Potato Aim — CS2 Stats

US76561199214688713[U:1:1254422985]Steam profile ↗✓ No bans

1,327Tracked matches54%Win rate2023Tracked since
CSDB Rating2.8 LearningClutch Specialist
Premier CS Rating1,507Grey band · top ~93.6% of ranked players (population est.)
CSDB Leaderboard#23653 of 30148 tracked
Ladder ranks via Leetify

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CSDB.GGPotato AimPREMIER1,507 · Grey bandcsdb.gg/stats

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Performance scores

Aim18
Positioning39
Utility44

0–100 skill scores via Leetify.

Recent form

COLD46495Last 10046%Win rateTWLWLLLTWL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim1.8
Aggression4.5
Utility4.4
Positioning3.9
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 72% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 699ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim1.8
Positioning3.9
Utility4.4
Mechanics2.6
Opening Duels0.8
Win Impact6.2

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time715ms−67ms
first ⅓ avg 782ms → last ⅓ avg 715ms
Headshot accuracy12.4%−0.5%
first ⅓ avg 13.0% → last ⅓ avg 12.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — dust2 13–5
131Biggest win — dust2
5Longest win streak
77In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 50% over 46infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B46232350%-0.02
mirageB29141548%-0.03
infernoC114736%-0.01
nukeC52340%0.03
cache4040%-0.04
boulder21150%-0.05
fachwerk110100%-0.05
office1010%-0.07
ancient110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.47Avg K/D
46.3ADR
18%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.477.0
Vertigo1100%0.628.0
Anubis10%0.314.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.7%Headshot accuracy
28.4%Accuracy (enemy spotted)
30.2%Spray accuracy
61.6%Counter-strafing
12.2°Preaim
699msReaction time
23.9%T opening success
36.1%CT opening success
0.56Enemies flashed / flash
3.2%Flash assists
11.90HE damage / grenade
4.57Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1732° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7041% — below the 15% mark we flag

    Aim Training
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.063%26 Aug
dust213–5-0.0217%26 Aug
dust26–13-0.0412%24 Aug
dust213–9-0.0110%20 Aug
cache8–13-0.0224%20 Aug
cache8–13-0.0418%17 Aug
mirage4–13-0.038%17 Aug
dust212–12-0.0715%17 Aug
nuke13–80.0310%16 Aug
dust23–13-0.0312%16 Aug
dust213–4-0.039%16 Aug
dust213–11-0.0215%16 Aug
inferno10–130.0410%16 Aug
nuke6–130.0112%16 Aug
mirage13–80.0710%16 Aug
dust213–50.1017%16 Aug
dust211–13-0.1019%16 Aug
dust213–10-0.0316%16 Aug
dust213–5-0.059%15 Aug
mirage13–11-0.068%15 Aug
dust213–60.0322%15 Aug
mirage1–13-0.0614%14 Aug
dust213–9-0.0913%14 Aug
mirage13–110.0314%14 Aug
nuke6–13-0.0310%14 Aug
dust213–80.0216%14 Aug
cache6–13-0.012%13 Aug
mirage9–13-0.0218%12 Aug
mirage13–6-0.0610%12 Aug
mirage1–9-0.085%11 Aug
mirage13–5-0.0217%11 Aug
dust28–13-0.038%10 Aug
mirage13–10-0.0410%10 Aug
dust213–6-0.0210%10 Aug
dust213–6-0.018%9 Aug
inferno13–30.0912%9 Aug
dust211–13-0.0218%9 Aug
mirage2–5-0.0811%9 Aug
mirage2–13-0.1311%9 Aug
mirage6–13-0.079%9 Aug
dust28–00.0018%9 Aug
inferno12–160.0313%9 Aug
mirage13–160.0310%9 Aug
inferno12–160.0117%8 Aug
mirage11–13-0.105%6 Aug
dust27–13-0.0611%5 Aug
mirage13–4-0.1319%4 Aug
dust25–13-0.0515%4 Aug
mirage13–90.0219%4 Aug
mirage13–60.0315%4 Aug
nuke14–160.0511%3 Aug
nuke13–90.059%3 Aug
dust211–13-0.0419%1 Aug
mirage12–12-0.077%31 Jul
dust213–6-0.0316%30 Jul
dust213–11-0.0511%30 Jul
dust27–13-0.0420%30 Jul
dust210–13-0.0867%28 Jul
dust27–13-0.0325%24 Jul
dust213–9-0.0522%23 Jul
mirage13–50.0411%23 Jul
mirage12–12-0.0118%23 Jul
dust213–10-0.0421%20 Jul
mirage13–7-0.1217%20 Jul
boulder13–4-0.083%20 Jul
dust213–10.0430%19 Jul
dust213–10-0.0111%17 Jul
dust28–13-0.0211%17 Jul
dust27–13-0.0511%16 Jul
dust26–13-0.075%13 Jul
dust21–13-0.120%13 Jul
dust29–13-0.0312%13 Jul
fachwerk13–3-0.057%9 Jul
boulder6–13-0.0216%9 Jul
office1–13-0.0713%4 Jul
inferno13–11-0.0213%29 Jun
dust212–120.0111%29 Jun
inferno8–13-0.0721%27 Jun
inferno13–80.0113%16 Jun
dust213–100.0619%15 Jun
dust25–13-0.028%15 Jun
dust28–13-0.0711%12 Jun
mirage1–130.0414%12 Jun
dust213–70.0111%12 Jun
inferno5–13-0.115%11 Jun
mirage13–30.0722%9 Jun
mirage3–13-0.0324%9 Jun
dust213–10-0.0622%8 Jun
mirage13–11-0.0511%8 Jun
inferno13–9-0.0012%8 Jun
ancient13–8-0.0611%7 Jun
inferno13–16-0.0212%6 Jun
cache6–13-0.108%6 Jun
mirage13–4-0.0614%6 Jun
dust211–130.0514%5 Jun
dust213–110.0219%5 Jun
inferno5–13-0.1020%5 Jun
dust211–130.0713%5 Jun
mirage7–130.0115%5 Jun
dust24–13-0.0313%4 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →