potato

potato — CS2 Stats

US76561197994969620[U:1:34703892]Steam profile ↗✓ No bans

723Tracked matches39%Win rate2023Tracked since
1,297Hours in CS4Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 723
+6.0ppWin rate · 33.3% → 39.3%

Rating over time

43Days played since 2026-06-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim48
Positioning34
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateWWWTLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.9pp headshot accuracy · −76ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 668ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 706ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim4.8
Utility1.5
Positioning3.4
Opening Duels0.1

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.8
Positioning3.4
Utility1.5
Mechanics6.3
Opening Duels0.0
Win Impact1.4

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time692ms−70ms
first ⅓ avg 762ms → last ⅓ avg 692ms
Headshot accuracy15.1%+1.7%
first ⅓ avg 13.4% → last ⅓ avg 15.1%

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.

Personal bests

0.11Best match rating · 13–0 · dust2, 24 Jun →
45%Best headshot accuracy · 3–4 · train, 9 Sept →
445msFastest reaction time · 13–8 · office, 20 Jul →
13–0Biggest win · dust2, 24 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
6–7In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 60% over 10infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.02
mirageC167–944%-0.03
officeA127–558%0.02
cacheA106–460%-0.02
infernoD103–730%-0.03
ancientD93–633%-0.02
nukeD62–433%0.02
vertigoC52–340%-0.02
trainC52–340%0.03
anubis—31–233%-0.04
overpass—21–150%-0.06
fachwerk—11–0100%0.07
shelter—11–0100%-0.07
boulder—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,913Lifetime kills
1.09K/D · Top 50% of tracked players
2,440Matches
53.2%Match win rate · Top 10% of tracked players
42.2%Headshot %
5.9%Shot accuracy
2,945MVPs
732Hours (in match)
1,348Bombs planted
243Bombs defused

Most-used weapons

Lifetime map wins

3,605office
1,557inferno
1,351vertigo
1,347nuke
1,000dust2
534italy
474cbble
267train

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

Skill profile

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

14.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.9%Spray accuracy
78.3%Counter-strafing
9.3°Preaim
682msReaction time
28.1%T opening success
28.9%CT opening success
0.24Enemies flashed / flash
0.9%Flash assists
6.89HE damage / grenade
1.02Flashes / 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. 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 14.6219% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2357 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.0731% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–110.0413%30 Sept →
vertigo13–60.0218%30 Sept →
nuke13–20.0621%30 Sept →
nuke12–12-0.0120%24 Sept →
mirage4–13-0.0516%19 Sept →
dust213–8-0.0516%19 Sept →
anubis11–13-0.0013%15 Sept →
train13–60.0822%10 Sept →
cache8–130.0019%9 Sept →
mirage8–13-0.0522%9 Sept →
train3–40.0445%9 Sept →
nuke4–13-0.088%6 Sept →
dust22–13-0.0916%6 Sept →
mirage4–13-0.0621%2 Sept →
anubis13–7-0.1023%2 Sept →
office7–13-0.010%2 Sept →
dust25–130.044%1 Sept →
inferno9–13-0.0417%1 Sept →
cache13–7-0.0221%31 Aug →
mirage13–80.045%31 Aug →
ancient4–12-0.0713%30 Aug →
mirage13–110.0714%30 Aug →
nuke7–130.088%30 Aug →
ancient7–130.018%26 Aug →
dust212–12-0.037%26 Aug →
office13–8-0.0110%24 Aug →
office10–130.0220%24 Aug →
anubis8–13-0.0213%23 Aug →
mirage13–9-0.0711%23 Aug →
cache4–13-0.0618%23 Aug →
office8–13-0.0116%13 Aug →
mirage13–2-0.108%11 Aug →
dust212–120.0113%11 Aug →
inferno13–30.0113%9 Aug →
ancient12–12-0.0613%5 Aug →
inferno3–13-0.0915%5 Aug →
dust27–13-0.0215%3 Aug →
vertigo8–13-0.067%2 Aug →
fachwerk13–90.0712%2 Aug →
dust213–6-0.0426%2 Aug →
nuke11–13-0.0113%2 Aug →
cache13–90.0111%2 Aug →
inferno5–130.0213%2 Aug →
dust24–13-0.0813%2 Aug →
office13–11-0.0321%27 Jul →
mirage12–120.0114%27 Jul →
dust213–6-0.0120%20 Jul →
office13–8-0.0215%20 Jul →
inferno12–12-0.0310%19 Jul →
ancient5–00.0429%19 Jul →
train5–130.0414%19 Jul →
dust29–130.0128%19 Jul →
office13–50.0417%11 Jul →
shelter13–11-0.0714%10 Jul →
boulder12–40.0524%10 Jul →
office9–130.0523%9 Jul →
dust21–13-0.0723%9 Jul →
mirage13–9-0.0233%6 Jul →
dust213–20.0426%6 Jul →
inferno11–13-0.0518%4 Jul →
ancient13–11-0.0713%4 Jul →
cache9–130.058%2 Jul →
dust26–13-0.0218%1 Jul →
mirage9–13-0.0525%29 Jun →
cache13–50.0221%29 Jun →
office8–13-0.020%29 Jun →
mirage1–13-0.0412%27 Jun →
dust211–13-0.0220%27 Jun →
vertigo13–7-0.0116%27 Jun →
cache13–11-0.068%26 Jun →
mirage13–3-0.0413%24 Jun →
overpass13–10-0.0515%24 Jun →
dust213–00.1113%24 Jun →
cache13–10-0.0210%24 Jun →
ancient13–9-0.0110%24 Jun →
cache10–13-0.0717%24 Jun →
train7–13-0.0610%17 Jun →
mirage9–13-0.0615%14 Jun →
vertigo8–13-0.068%14 Jun →
ancient9–13-0.045%14 Jun →
inferno13–20.0126%14 Jun →
office13–100.0814%12 Jun →
inferno11–13-0.0213%8 Jun →
dust26–13-0.089%8 Jun →
office13–100.0814%8 Jun →
mirage12–12-0.0711%7 Jun →
vertigo12–120.009%7 Jun →
ancient6–13-0.0118%7 Jun →
dust213–8-0.0815%7 Jun →
ancient5–13-0.0115%6 Jun →
mirage13–60.0119%6 Jun →
nuke13–100.0613%4 Jun →
mirage8–13-0.0230%4 Jun →
train13–100.0319%4 Jun →
inferno9–1-0.030%4 Jun →
overpass11–13-0.0715%4 Jun →
inferno8–13-0.0514%3 Jun →
dust212–12-0.076%3 Jun →
cache13–6-0.029%3 Jun →
dust213–70.0013%1 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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