.tray

.tray — CS2 Stats

US76561198105519447[U:1:145253719]Steam profile ↗

373Tracked matches45%Win rate2024Tracked since
421Hours in CS12Hrs last 2 wks
CSDB Rating4.2 Developing
Premier CS Rating3,189Grey band · top ~86.5% of ranked players (population est.)
CSDB Leaderboard#22519 of 28867 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate51.9%40.1%above
Shot accuracy0.0%7.6%7.6% short
Kill/death ratio0.760.920.16 short
Match win rate41.4%42.2%meets

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

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CSDB.GG.trayPREMIER3,189 · Grey bandcsdb.gg/stats

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Performance scores

Aim51
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

COLD41554Last 10041%Win rateTWWLWLLLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim5.1
Aggression5.8
Utility3.7
Positioning4.8
Opening Duels2.1

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 81% playstyle similarity

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

Where you differ: lower utility contribution; 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. 680ms 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

Aim5.1
Positioning4.8
Utility3.7
Mechanics7.4
Opening Duels2.1
Win Impact3.3

Composite 4.2/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time672ms−64ms
first ⅓ avg 736ms → last ⅓ avg 672ms
Headshot accuracy21.8%+4.5%
first ⅓ avg 17.3% → last ⅓ avg 21.8%

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

0.28Best rating — dust2 6–0
130Biggest win — mirage
6Longest win streak
49In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C25101540%-0.01
mirageB179853%-0.01
nukeD1551033%-0.01
infernoD124833%-0.03
ancientD113827%0.00
cacheS96367%-0.02
anubis41325%0.00
overpass42250%-0.04
train1010%-0.04
office1010%-0.02
vertigo110100%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

9,291Lifetime kills
0.76K/D
666Matches
41.4%Match win rate
51.9%Headshot % · Top 25% of tracked players
0.0%Shot accuracy
1,346MVPs
241Hours (in match)
483Bombs planted
86Bombs defused

Most-used weapons

Lifetime map wins

1,800dust2
792nuke
688inferno
216vertigo
184office
183train
19italy

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.

19.4%Headshot accuracy
30.4%Accuracy (enemy spotted)
28.4%Spray accuracy
83.4%Counter-strafing
10.2°Preaim
680msReaction time
32.3%T opening success
44.3%CT opening success
0.47Enemies flashed / flash
1.8%Flash assists
4.60HE damage / grenade
9.12Flashes / 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 0.4748 — 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 32.287% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis12–12-0.0220%27 Aug
cache13–60.0117%27 Aug
inferno13–10.1141%27 Aug
cache13–16-0.0325%26 Aug
dust213–70.0216%25 Aug
train5–13-0.0429%25 Aug
mirage1–13-0.0833%25 Aug
inferno0–13-0.0511%25 Aug
inferno10–13-0.0425%25 Aug
dust26–13-0.0717%21 Aug
mirage5–40.0236%20 Aug
nuke13–8-0.0215%20 Aug
mirage13–80.0215%17 Aug
ancient13–100.0127%11 Aug
inferno13–70.0125%3 Aug
inferno10–3-0.0331%3 Aug
cache13–100.0112%3 Aug
nuke7–13-0.0224%2 Aug
inferno4–12-0.0424%28 Jul
dust210–13-0.0017%27 Jul
dust213–16-0.0421%27 Jul
dust20–4-0.09100%17 Jul
nuke10–13-0.018%16 Jul
dust213–8-0.0213%16 Jul
dust211–13-0.0114%16 Jul
mirage13–8-0.057%16 Jul
cache16–120.0212%16 Jul
ancient2–13-0.0713%15 Jul
mirage13–10.0718%15 Jul
cache0–9-0.056%15 Jul
ancient9–13-0.0112%15 Jul
dust25–00.1626%15 Jul
ancient13–80.0212%15 Jul
mirage6–13-0.1111%15 Jul
cache13–100.048%15 Jul
mirage13–00.1716%15 Jul
mirage12–120.039%12 Jul
mirage13–10-0.0110%4 Jun
nuke4–13-0.1111%3 Jun
anubis4–9-0.0313%2 Jun
nuke13–80.0319%2 Jun
ancient8–130.049%29 May
dust213–40.0417%28 May
mirage15–15-0.0317%28 May
nuke14–16-0.0418%20 May
ancient11–130.0424%20 May
anubis12–160.0112%15 May
nuke10–13-0.0619%11 May
office1–13-0.0250%11 May
mirage2–13-0.0530%11 May
overpass9–13-0.1013%11 May
inferno6–13-0.0810%11 May
inferno2–13-0.0913%10 May
inferno7–13-0.0810%10 May
dust26–00.2824%10 May
dust28–13-0.0112%10 May
cache8–13-0.0711%6 May
dust26–13-0.074%6 May
vertigo13–11-0.0611%6 May
mirage13–11-0.0112%6 May
mirage13–80.0115%6 May
cache13–10-0.0018%4 May
cache13–4-0.098%29 Apr
overpass13–9-0.1011%23 Apr
nuke12–16-0.0113%23 Apr
nuke13–6-0.0328%23 Apr
inferno9–3-0.0815%22 Apr
nuke12–50.0313%21 Apr
nuke11–13-0.0419%20 Apr
dust213–30.0123%19 Apr
overpass13–30.0616%19 Apr
mirage16–13-0.0117%17 Apr
nuke2–13-0.068%16 Apr
ancient6–130.0016%16 Apr
mirage11–130.0114%16 Apr
dust213–5-0.0427%16 Apr
nuke15–150.1517%15 Apr
dust211–13-0.0616%15 Apr
nuke11–130.058%13 Apr
nuke13–110.0113%13 Apr
anubis13–70.0414%31 Mar
dust210–13-0.0927%10 Mar
ancient12–20.1222%9 Mar
dust213–100.0218%9 Mar
dust26–130.0518%8 Mar
ancient13–70.0213%8 Mar
dust25–130.0111%8 Mar
dust213–7-0.0019%8 Mar
dust211–130.0527%8 Mar
inferno6–13-0.0021%8 Mar
mirage10–13-0.0520%6 Mar
ancient10–13-0.0425%6 Mar
dust27–13-0.064%6 Mar
ancient4–13-0.0912%6 Mar
dust21–13-0.1138%5 Mar
dust216–12-0.0526%3 Mar
dust22–13-0.069%17 Jan
overpass7–13-0.0215%12 Jan
mirage13–11-0.0214%20 Dec
inferno7–13-0.0113%6 Dec

Match data via Leetify.

Recent teammates

Milestones

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