pettypotato

pettypotato — CS2 Stats

76561198877443497[U:1:917177769]Steam profile ↗✓ No bans

2,432Tracked matches40%Win rate2023Tracked since
4,907Hours in CS4Hrs last 2 wks
CSDB Rating3.1 Learning
FaceitLevel 6 · 1,051 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate43.6%44.9%46.2%2.7% short
Shot accuracy0.7%11.8%12.5%11.8% short
Kill/death ratio0.721.041.060.34 short
Match win rate47.3%45.3%45.9%above

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpettypotatoFACEITLevel 6 · 1,051 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning39
Utility54

0–100 skill scores via Leetify.

Recent form

COLD48493Last 10048%Win rateLWLLLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.7
Aggression4.8
Utility5.4
Positioning3.9
Opening Duels1.5
Clutch3.6

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 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim3.7
Positioning3.9
Utility5.4
Mechanics2.9
Opening Duels1.5
Win Impact1.7

Composite 3.1/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time595ms−27ms
first ⅓ avg 623ms → last ⅓ avg 595ms
Headshot accuracy16.1%−1.0%
first ⅓ avg 17.1% → last ⅓ avg 16.1%

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 — ancient 13–3
131Biggest win — dust2
6Longest win streak
104In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 65% over 26infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2S2617965%-0.02
mirageB22111150%-0.03
anubisC146843%-0.02
infernoD113827%-0.07
nukeA85363%-0.03
ancientC73443%0.01
cache41325%-0.04
overpass4040%-0.02
vertigo32167%-0.08
office1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,847Lifetime kills
0.72K/D
4,827Matches
47.3%Match win rate · Top 50% of Level 6 players
43.6%Headshot %
0.7%Shot accuracy
8,896MVPs
2,122Hours (in match)
2,068Bombs planted
1,048Bombs defused

Most-used weapons

AK-4713,991
P905,935
AWP5,753
XM10144,116
MP71,994

Lifetime map wins

10,924dust2
4,201inferno
3,505nuke
2,279vertigo
1,108train
87office
35italy
31lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

719Matches
50%Win rate
0.75Avg K/D
73.0ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24951%0.7613.0
Dust215346%0.7312.6
Anubis12354%0.7413.7
Ancient6752%0.7713.8
Inferno6455%0.7312.9
Nuke4052%0.7512.5
Train1030%0.7712.9
Overpass714%0.7812.4

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.

15.0%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.1%Spray accuracy
63.1%Counter-strafing
12.3°Preaim
592msReaction time
37.6%T opening success
34.1%CT opening success
0.60Enemies flashed / flash
4.1%Flash assists
7.14HE damage / grenade
10.57Flashes / 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 12.2775° — 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 14.9959% — 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.

27% 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
anubis10–13-0.0313%23 Aug
ancient13–100.0617%16 Aug
mirage10–13-0.0020%16 Aug
inferno11–13-0.0310%16 Aug
mirage5–13-0.0614%29 Jul
anubis13–6-0.0311%29 Jul
ancient5–13-0.0816%19 Jul
inferno13–6-0.0421%19 Jul
dust24–13-0.0229%19 Jul
dust25–13-0.0419%12 Jul
nuke8–13-0.0314%12 Jul
cache10–13-0.0412%12 Jul
dust210–13-0.0920%11 Jul
dust216–130.0319%10 Jul
inferno13–9-0.0524%10 Jul
anubis9–13-0.0117%1 Jul
anubis11–13-0.0113%30 Jun
nuke6–13-0.0513%30 Jun
mirage3–13-0.024%30 Jun
anubis16–14-0.057%29 Jun
dust213–6-0.0713%29 Jun
inferno3–13-0.0214%28 Jun
dust213–10.0422%28 Jun
anubis10–13-0.0112%28 Jun
overpass9–13-0.0421%28 Jun
dust28–13-0.0319%28 Jun
dust213–5-0.0914%28 Jun
nuke13–1-0.010%28 Jun
mirage13–90.009%28 Jun
dust213–4-0.0212%28 Jun
dust213–6-0.0325%28 Jun
dust213–10-0.0242%27 Jun
dust22–13-0.0715%27 Jun
ancient13–60.086%27 Jun
mirage13–6-0.0411%27 Jun
anubis13–4-0.0517%27 Jun
mirage2–13-0.058%27 Jun
anubis13–11-0.075%26 Jun
dust213–6-0.0825%26 Jun
dust28–13-0.0418%26 Jun
anubis13–30.048%26 Jun
dust213–70.0114%25 Jun
inferno9–13-0.0617%25 Jun
mirage8–13-0.0915%24 Jun
mirage13–6-0.038%24 Jun
dust213–11-0.059%24 Jun
nuke13–11-0.0812%21 Jun
inferno7–13-0.0121%17 Jun
mirage15–150.0528%17 Jun
mirage13–90.0315%16 Jun
nuke13–11-0.019%16 Jun
inferno0–9-0.320%16 Jun
cache1–13-0.0933%16 Jun
inferno10–13-0.0619%14 Jun
mirage5–13-0.0414%14 Jun
nuke13–6-0.0318%14 Jun
overpass10–130.0125%14 Jun
mirage13–5-0.0510%13 Jun
dust213–11-0.0615%13 Jun
dust29–13-0.0116%12 Jun
mirage1–13-0.0421%3 Jun
vertigo13–11-0.0815%3 Jun
vertigo5–13-0.1021%3 Jun
dust210–13-0.0417%29 May
anubis10–13-0.0533%29 May
anubis3–10-0.0133%29 May
anubis12–12-0.0234%29 May
inferno4–13-0.0722%26 May
anubis13–30.0313%26 May
mirage13–5-0.0635%26 May
ancient13–30.1023%25 May
dust213–11-0.0216%25 May
overpass11–13-0.0317%25 May
dust28–130.0722%25 May
dust213–10.0915%25 May
inferno13–110.0018%23 May
overpass7–13-0.0410%22 May
mirage12–16-0.0425%22 May
mirage13–30.0820%22 May
dust213–100.0116%19 May
mirage16–120.0020%19 May
mirage13–11-0.0213%19 May
mirage13–20.0718%19 May
dust213–90.0721%19 May
office3–13-0.0516%19 May
ancient9–13-0.0310%19 May
mirage13–16-0.0913%17 May
mirage7–13-0.0814%17 May
ancient15–15-0.0414%17 May
nuke13–60.0032%17 May
nuke3–13-0.046%17 May
mirage13–5-0.1112%17 May
anubis11–13-0.0313%9 May
cache13–9-0.0217%6 May
cache4–13-0.0314%6 May
dust213–7-0.0217%5 May
ancient9–13-0.0412%5 May
dust213–100.0224%3 May
inferno10–13-0.0613%1 May
vertigo13–10-0.0512%1 May

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 →