hoo lee sheet — CS2 Stats

76561198052840099[U:1:92574371]✓ No bans

1,202Tracked matches46%Win rate2020Tracked since
1,483Hours in CS1Hrs last 2 wks
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating19,237Purple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#15081 of 33492 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate43.0%44.1%47.2%4.2% short
Shot accuracy6.5%11.4%12.7%6.2% short
Kill/death ratio0.941.031.090.15 short
Match win rate38.8%45.2%46.6%7.8% short

This profile sits below the typical Pink band player on every metric we can compare.

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

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CSDB.GGhoo lee sheetPREMIER19,237 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning41
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWWWLLLWWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression5.1
Utility4.7
Positioning4.1
Opening Duels1.7

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 88% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 621ms 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

Aim7.4
Positioning4.1
Utility4.7
Mechanics6.7
Opening Duels1.7
Win Impact3.8

Composite 5.3/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time611ms+23ms
first ⅓ avg 589ms → last ⅓ avg 611ms
Headshot accuracy18.5%−0.2%
first ⅓ avg 18.8% → last ⅓ avg 18.5%

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

0.14Best rating — anubis 13–6
130Biggest win — train
4Longest win streak
76In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 67% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B29141548%0.01
mirageC1871139%-0.02
infernoA127558%-0.01
cacheA116555%0.02
nukeA106460%-0.02
trainS64267%0.05
anubisC52340%0.01
vertigoD51420%-0.01
ancient21150%-0.03
overpass21150%-0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,268Lifetime kills
0.94K/D
1,902Matches
38.8%Match win rate
43.0%Headshot %
6.5%Shot accuracy
3,426MVPs
814Hours (in match)
766Bombs planted
293Bombs defused

Most-used weapons

Lifetime map wins

4,379dust2
2,000inferno
1,804nuke
1,204vertigo
364train
32office
4militia
3italy

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.

18.2%Headshot accuracy
38.2%Accuracy (enemy spotted)
44.1%Spray accuracy
80.0%Counter-strafing
11.0°Preaim
621msReaction time
37.0%T opening success
36.9%CT opening success
0.47Enemies flashed / flash
2.5%Flash assists
6.02HE damage / grenade
9.26Flashes / 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. 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 0.4709 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 37.0384% — below the 40% mark we flag

Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.035%27 Aug
nuke13–60.0213%19 Jul
mirage13–70.0222%15 Jul
dust213–70.1025%15 Jul
ancient1–13-0.0431%15 Jul
cache6–13-0.0118%9 Jul
mirage9–13-0.0819%7 Jul
cache13–80.0519%7 Jul
mirage13–7-0.0019%6 Jul
nuke10–13-0.096%5 Jul
dust24–130.0033%5 Jul
nuke13–50.0115%5 Jul
mirage3–13-0.088%5 Jul
mirage6–130.0527%5 Jul
anubis15–15-0.0723%5 Jul
dust26–00.1132%5 Jul
inferno13–110.0021%5 Jul
mirage5–13-0.0817%5 Jul
dust212–12-0.0010%4 Jul
anubis8–130.0111%4 Jul
nuke13–11-0.0510%3 Jul
inferno6–13-0.0324%2 Jul
dust213–1-0.0231%2 Jul
dust213–90.1316%2 Jul
dust25–130.0423%2 Jul
dust28–13-0.0318%2 Jul
inferno13–10.0611%1 Jul
dust213–10.1316%1 Jul
dust24–130.0221%1 Jul
dust24–13-0.0120%1 Jul
vertigo4–130.0719%1 Jul
vertigo8–13-0.0813%1 Jul
anubis13–60.1416%1 Jul
cache7–13-0.0018%1 Jul
cache12–12-0.0220%1 Jul
cache11–13-0.0427%1 Jul
cache13–110.0114%1 Jul
dust213–70.0325%1 Jul
dust213–3-0.0322%1 Jul
cache13–50.0226%30 Jun
mirage11–13-0.0515%30 Jun
mirage12–120.0420%30 Jun
nuke5–13-0.0625%30 Jun
train13–10.0714%30 Jun
vertigo10–130.0230%30 Jun
inferno13–90.0414%30 Jun
overpass13–6-0.0411%30 Jun
train10–130.0924%30 Jun
dust22–13-0.0918%30 Jun
mirage4–0-0.0517%30 Jun
mirage13–20.0320%29 Jun
mirage7–130.0022%29 Jun
cache11–130.0720%29 Jun
anubis13–3-0.0423%29 Jun
nuke5–10.1021%29 Jun
inferno13–3-0.0223%29 Jun
dust210–13-0.0513%29 Jun
mirage6–13-0.095%29 Jun
dust213–11-0.0618%29 Jun
vertigo13–70.0032%28 Jun
dust213–50.0227%28 Jun
dust213–70.0119%28 Jun
mirage2–13-0.0417%28 Jun
dust213–10-0.0516%28 Jun
mirage13–110.0415%28 Jun
inferno13–30.0335%28 Jun
vertigo12–12-0.0633%28 Jun
ancient13–4-0.0210%28 Jun
inferno10–13-0.0617%28 Jun
train13–00.0420%28 Jun
dust213–50.0135%28 Jun
overpass9–13-0.0619%28 Jun
dust27–130.0220%27 Jun
cache13–80.0726%24 Jun
dust27–130.0820%24 Jun
mirage2–13-0.095%24 Jun
dust23–13-0.0016%24 Jun
cache13–40.0215%23 Jun
mirage5–13-0.0521%23 Jun
nuke0–13-0.0542%23 Jun
inferno16–13-0.0523%23 Jun
nuke13–3-0.0213%23 Jun
dust213–7-0.0214%23 Jun
mirage13–5-0.0025%23 Jun
anubis7–13-0.0115%23 Jun
inferno11–13-0.0516%23 Jun
dust214–16-0.0725%22 Jun
mirage13–30.1110%22 Jun
dust24–13-0.0124%22 Jun
dust214–16-0.0316%22 Jun
dust213–10-0.0213%22 Jun
nuke13–11-0.049%22 Jun
inferno15–15-0.0317%22 Jun
train13–50.0922%22 Jun
train5–13-0.0118%22 Jun
cache13–110.0718%22 Jun
dust210–130.0112%22 Jun
train13–90.0122%21 Jun
inferno9–13-0.0221%21 Jun
inferno13–5-0.0322%21 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 →