TRACEf

TRACEf — CS2 Stats

76561197987144812[U:1:26879084]Steam profile ↗✓ No bans

356Tracked matches53%Win rate2020Tracked since
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating23,702Top 25% of 212,695 CSDB-tracked playersPink band · top ~4.4% of ranked players (population est.)
CSDB Leaderboard#35523 of 259449 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,702 → 23,702
0Faceit ELO · 2,709 → 2,709
+5Tracked matches · now 356
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Premier CS Rating: 23,702 +7,011 17 Nov – 7 Sept · 8 days played
16,45823,702peak 23,70217 Nov7 Sept
23,702Peak Premier in tracked matches
2,709Highest Faceit ELO seen on CSDB
64Days played since 2021-05-14

Faceit ELO

  • At peak — 2,709
  • Next: 3,000 ELO at 3,000 — 291 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-07
  • Level 10 first seen 2026-09-07

Premier CS Rating

  • At peak — 23,702
  • Next: Red band at 25,000 — 1,298 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTRACEfPREMIER23,702 · Pink bandPEAK ELO2,709csdb.gg/stats

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Performance scores

Aim72
Positioning20
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWLLWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +14.6pp headshot accuracy · +305ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 538ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 509ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 357ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim7.2
Utility2.1
Positioning2.0
Opening Duels0.0
Clutch3.4

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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; 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 52 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.

T-side openings. Opening success drops from 32% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning2.0
Utility2.1
Mechanics6.6
Opening Duels0.3
Win Impact6.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time290ms−292ms
first ⅓ avg 582ms → last ⅓ avg 290ms
Headshot accuracy11.7%−10.5%
first ⅓ avg 22.2% → last ⅓ avg 11.7%

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

0.16Best match rating · 13–1 · anubis, 11 Sept →
49%Best headshot accuracy · 13–1 · anubis, 11 Sept →
375msFastest reaction time · 13–7 · nuke, 3 Oct →
13–0Biggest win · anubis, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–11In matches decided by ≤2 rounds
46Overtime games

Map breakdown

nukeBest map · 68% over 25ancientWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS2517–868%0.03
vertigoC188–1044%0.02
mirageC177–1041%0.01
ancientD165–1131%0.00
infernoA127–558%0.04
overpass—42–250%0.01
train—40–40%0.01
anubis—32–167%0.07
italy—11–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,043Matches
58%Win rate
1.53Avg K/D
83.3ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke3168%1.3315.7
Inferno2560%1.3017.3
Dust21979%1.3416.6
Train1867%1.6018.1
Mirage1759%1.2817.8
Ancient1155%1.1317.1
Vertigo1030%0.8912.6
Overpass425%1.2215.5

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.

12.3%Headshot accuracy
17.6%Accuracy (enemy spotted)
30.6%Spray accuracy
79.8%Counter-strafing
5.2°Preaim
307msReaction time
14.8%T opening success
32.5%CT opening success
0.41Enemies flashed / flash
6.9%Flash assists
4.73HE damage / grenade
4.60Flashes / 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 12.2966% — 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 0.4142 — 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 14.8109% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.1020%3 Oct →
nuke13–20.0930%10 Feb →
overpass8–13-0.0115%9 Feb →
ancient13–16-0.0224%5 Feb →
nuke13–90.0426%18 Dec →
inferno10–13-0.039%28 May →
train11–13-0.0329%27 May →
nuke13–50.0324%15 Nov →
nuke13–60.0439%12 Jul →
ancient13–20.000%25 Apr →
vertigo6–130.000%17 Apr →
ancient13–30.000%17 Apr →
ancient13–20.000%17 Apr →
nuke3–13-0.0417%16 Apr →
ancient5–130.000%10 Apr →
ancient13–80.0517%7 Apr →
ancient11–13-0.0221%5 Mar →
ancient10–130.000%4 Mar →
mirage13–40.000%4 Mar →
inferno13–30.0414%3 Mar →
vertigo13–30.0125%3 Mar →
overpass13–100.000%29 Feb →
ancient13–150.000%28 Feb →
ancient13–60.000%28 Feb →
overpass14–160.000%26 Feb →
vertigo13–10.000%26 Feb →
ancient5–130.000%22 Feb →
ancient8–130.000%22 Feb →
mirage13–80.0426%18 Feb →
vertigo8–13-0.0321%18 Feb →
ancient14–160.0229%18 Feb →
ancient13–160.000%15 Feb →
mirage7–130.000%15 Feb →
mirage9–130.000%15 Feb →
vertigo5–130.000%15 Feb →
vertigo11–130.000%31 Jan →
vertigo3–13-0.0812%28 Jan →
mirage9–13-0.0127%28 Jan →
vertigo9–130.0326%20 Jan →
nuke13–80.0926%14 Dec →
nuke14–16-0.0126%24 Nov →
vertigo8–13-0.0138%24 Nov →
nuke13–70.0322%24 Nov →
vertigo10–13-0.0314%23 Nov →
nuke9–13-0.0323%23 Nov →
mirage6–13-0.1013%22 Nov →
inferno4–13-0.0422%22 Nov →
inferno10–130.0323%20 Nov →
inferno13–100.0412%20 Nov →
vertigo13–20.0519%20 Nov →
anubis11–13-0.0215%19 Nov →
mirage9–130.0423%19 Nov →
inferno13–20.1121%17 Nov →
vertigo13–110.0527%17 Nov →
nuke13–80.0517%17 Nov →
anubis13–00.0713%28 Sept →
nuke3–13-0.0132%28 Sept →
overpass16–120.0632%28 Sept →
inferno13–80.0331%13 Sept →
vertigo13–60.1343%13 Sept →
anubis13–10.1649%11 Sept →
train10–160.0218%11 Jul →
nuke16–140.1125%22 May →
mirage9–160.0522%22 May →
vertigo16–30.0717%22 May →
nuke16–50.0518%20 May →
inferno16–50.1522%20 May →
nuke16–140.0023%20 May →
ancient9–16-0.0228%19 May →
mirage11–160.0735%19 May →
mirage10–160.0120%3 May →
vertigo16–140.0417%2 May →
inferno16–60.0227%28 Apr →
nuke16–50.0320%27 Apr →
mirage16–80.0521%27 Apr →
inferno16–50.0631%26 Apr →
vertigo9–160.0529%26 Apr →
mirage16–130.0123%4 Apr →
ancient12–160.0232%4 Apr →
nuke14–160.0217%26 Mar →
vertigo16–50.0417%9 Feb →
nuke14–160.0526%4 Dec →
nuke16–130.0221%30 Oct →
mirage21–250.0322%13 Oct →
mirage16–13-0.0216%6 Mar →
inferno11–160.0723%8 Feb →
nuke16–70.0117%3 Feb →
mirage16–70.0420%1 Feb →
nuke16–140.0114%29 Jan →
mirage16–13-0.0227%10 Jan →
train13–160.0321%9 Jan →
nuke6–16-0.0228%7 Oct →
mirage6–160.0017%2 Aug →
nuke9–150.0016%2 Aug →
vertigo17–190.0024%26 Jul →
italy16–60.0019%24 Jun →
inferno15–190.0023%15 Jun →
nuke15–100.0017%14 May →
train9–160.0015%14 May →
nuke28–250.0027%14 May →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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