TRacer

TRacer — CS2 Stats

76561198103437185[U:1:143171457]Steam profile ↗✓ No bans

687Tracked matches50%Win rate2020Tracked since
2,809Hours in CS5Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating15,926Purple band · top ~24.7% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,926 -1,491 28 Mar – 27 Oct · 22 days played
14,14817,417peak 17,41728 Mar27 Oct
17,417Peak Premier in tracked matches
1,327Highest Faceit ELO seen on CSDB
27Days played since 2026-03-28

Faceit ELO

  • At peak — 1,327
  • Next: Level 7 at 1,351 — 24 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,491 below peak (17,417)
  • +927 over 30 days · improving
  • Next: Pink band at 20,000 — 4,074 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 rate38.0%44.4%46.9%8.9% short
Shot accuracy17.6%11.9%13.0%above
Kill/death ratio1.011.031.080.07 short
Match win rate44.4%45.2%46.7%2.2% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGTRacerPREMIER15,926 · Purple bandPEAK ELO1,327csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning44
Utility32

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLWLLLWWTLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +1.5pp headshot accuracy · −2ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

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 (+1.4 against its own average).

Aim7.8
Utility3.2
Positioning4.4
Opening Duels0.6
Clutch3.8

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: aim profile, positioning profile.

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

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 34 points — deaths here waste a strong aim profile.

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

Reaction time. 552ms 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

Aim7.8
Positioning4.4
Utility3.2
Mechanics7.3
Opening Duels1.5
Win Impact5.0

Composite 5.4/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time560ms−108ms
first ⅓ avg 668ms → last ⅓ avg 560ms
Headshot accuracy16.2%−2.2%
first ⅓ avg 18.4% → last ⅓ avg 16.2%

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

0.14Best match rating · 9–1 · poseidon, 2 Jun →
50%Best headshot accuracy · 2–4 · inferno, 2 Jul →
406msFastest reaction time · 13–8 · inferno, 22 Sept →
13–0Biggest win · cache, 11 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 9infernoWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
infernoC2610–1638%-0.02
nukeA1912–763%-0.01
dust2B199–1047%-0.03
ancientC125–742%-0.02
mirageS96–367%0.01
cacheC83–538%0.00
anubis—41–325%-0.05
overpass—21–150%-0.01
poseidon—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,070Lifetime kills
1.01K/D
3,888Matches
44.4%Match win rate
38.0%Headshot %
17.6%Shot accuracy · Top 10% of Purple band
8,189MVPs
1,817Hours (in match)
6,065Bombs planted
1,106Bombs defused

Most-used weapons

AK-4722,123
AWP6,680
UMP-452,149
FAMAS2,124
Tec-91,775

Lifetime map wins

6,897inferno
6,866dust2
2,034nuke
1,705cbble
1,177train
174vertigo
142lake
45stmarc

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

Faceit stats

Combat

544Matches
51%Win rate
1.16Avg K/D
65.3ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
8%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21656%0.8413.0
Inferno1250%0.8914.5
Ancient875%0.6911.8
Nuke667%1.0011.8
Mirage650%0.9616.0
Overpass1100%1.2714.0
Anubis10%0.203.0

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.

16.0%Headshot accuracy
38.6%Accuracy (enemy spotted)
41.2%Spray accuracy
82.9%Counter-strafing
10.6°Preaim
552msReaction time
37.6%T opening success
34.3%CT opening success
0.37Enemies flashed / flash
1.1%Flash assists
10.38HE damage / grenade
2.95Flashes / 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 0.3736 — 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 37.5837% — 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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0414%27 Oct →
mirage13–90.0916%27 Oct →
mirage6–13-0.0626%20 Oct →
anubis10–13-0.0315%13 Oct →
nuke9–13-0.0115%13 Oct →
cache13–6-0.0041%13 Oct →
mirage13–80.0323%13 Oct →
nuke15–15-0.0713%6 Oct →
cache8–13-0.0411%6 Oct →
anubis1–13-0.090%6 Oct →
mirage13–20.0125%6 Oct →
mirage13–40.0610%29 Sept →
nuke13–100.0315%29 Sept →
dust213–6-0.0219%29 Sept →
inferno15–15-0.0416%29 Sept →
inferno13–80.006%22 Sept →
ancient11–130.0412%22 Sept →
inferno9–13-0.0315%22 Sept →
dust25–13-0.0321%22 Sept →
inferno5–13-0.0319%15 Sept →
nuke4–13-0.0323%15 Sept →
inferno13–40.0325%15 Sept →
nuke13–9-0.0314%15 Sept →
nuke9–7-0.109%15 Sept →
ancient13–70.0715%8 Sept →
inferno8–13-0.032%8 Sept →
ancient16–12-0.0012%8 Sept →
cache0–130.0019%8 Sept →
anubis13–90.0319%1 Sept →
ancient2–13-0.0115%1 Sept →
cache13–100.0214%1 Sept →
nuke13–110.1110%1 Sept →
dust25–13-0.0327%1 Sept →
inferno6–13-0.049%11 Aug →
cache13–00.049%11 Aug →
ancient7–13-0.033%11 Aug →
dust26–13-0.0528%11 Aug →
cache7–13-0.0614%11 Aug →
inferno13–50.0414%4 Aug →
inferno16–140.0213%4 Aug →
nuke13–70.0413%4 Aug →
inferno3–13-0.0610%4 Aug →
inferno2–4-0.0550%2 Jul →
dust213–70.0222%2 Jul →
inferno7–13-0.0113%30 Jun →
ancient3–13-0.0416%30 Jun →
dust213–8-0.0521%30 Jun →
nuke11–6-0.0017%30 Jun →
inferno5–13-0.0423%30 Jun →
dust213–10-0.0419%23 Jun →
inferno6–13-0.0223%23 Jun →
inferno13–110.0215%23 Jun →
inferno7–130.0038%23 Jun →
inferno8–130.0025%16 Jun →
dust27–13-0.0721%16 Jun →
inferno13–6-0.0522%9 Jun →
dust213–7-0.0326%9 Jun →
nuke13–3-0.0123%9 Jun →
overpass8–13-0.0017%9 Jun →
nuke13–40.0628%9 Jun →
nuke7–9-0.0616%2 Jun →
poseidon9–10.1420%2 Jun →
dust28–13-0.0716%2 Jun →
inferno13–16-0.0614%2 Jun →
ancient13–6-0.0313%2 Jun →
mirage13–30.0624%26 May →
dust27–13-0.0923%26 May →
inferno13–16-0.0128%26 May →
nuke9–13-0.0715%19 May →
dust22–13-0.1214%19 May →
ancient13–9-0.0316%19 May →
inferno11–13-0.0315%19 May →
inferno13–2-0.0013%12 May →
dust210–13-0.0323%12 May →
dust213–30.0927%12 May →
nuke6–13-0.0625%12 May →
nuke13–7-0.0023%5 May →
inferno13–7-0.0224%5 May →
dust25–13-0.0629%5 May →
ancient1–13-0.0926%5 May →
cache9–130.0520%5 May →
cache4–13-0.0018%5 May →
ancient16–14-0.0210%28 Apr →
nuke16–140.0319%28 Apr →
inferno16–14-0.0511%21 Apr →
dust215–15-0.037%21 Apr →
nuke10–13-0.0420%21 Apr →
mirage10–13-0.0615%21 Apr →
mirage13–6-0.0110%14 Apr →
nuke13–20.009%14 Apr →
anubis4–13-0.1143%14 Apr →
dust213–90.0015%14 Apr →
overpass13–8-0.0117%9 Apr →
nuke16–13-0.0427%31 Mar →
inferno8–13-0.0311%31 Mar →
dust213–100.0815%31 Mar →
ancient5–13-0.0514%31 Mar →
mirage9–130.0113%31 Mar →
inferno13–2-0.0221%28 Mar →
dust213–70.0417%28 Mar →

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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