TRX :3

TRX :3 — CS2 Stats

76561199042951451[U:1:1082685723]Steam profile ↗✓ No bans

216Tracked matches41%Win rate2023Tracked since
114Hours in CS
CSDB Rating3.3 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 7,819 -2,965 3 Aug – 31 Aug · 3 days played
7,81910,784peak 10,7843 Aug31 Aug
10,784Peak Premier in tracked matches
55Days played since 2024-08-03

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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate51.0%42.7%43.8%above
Shot accuracy1.5%11.2%12.0%10.5% short
Kill/death ratio0.850.991.020.16 short
Match win rate42.4%43.9%44.7%2.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTRX :3FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning34
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateLLWWLTWLWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +3.4pp headshot accuracy · −108ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 615ms

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 (+1.9 against its own average).

Aim4.0
Utility2.7
Positioning3.4
Opening Duels0.0
Clutch0.0

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 32% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim4.0
Positioning3.4
Utility2.7
Mechanics5.2
Opening Duels0.3
Win Impact1.9

Composite 3.3/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time618ms−28ms
first ⅓ avg 645ms → last ⅓ avg 618ms
Headshot accuracy14.6%+1.2%
first ⅓ avg 13.3% → last ⅓ avg 14.6%

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

0.36Best match rating · 9–1 · inferno, 27 May →
32%Best headshot accuracy · 3–13 · train, 3 Sept →
422msFastest reaction time · 10–13 · ancient, 14 Aug →
13–1Biggest win · overpass, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
2–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 22trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.02
nukeB2211–1150%-0.02
dust2C135–838%-0.03
infernoB115–645%-0.00
ancientC94–544%0.02
cacheC52–340%0.01
trainD51–420%-0.02
rush_001—31–233%-0.09
overpass—31–233%-0.03
anubis—20–20%0.00
vertigo—20–20%-0.03
poseidon—10–10%-0.05
agency—10–10%-0.10

Across the last 100 tracked matches.

Lifetime stats

5,530Lifetime kills
0.85K/D
417Matches
42.4%Match win rate
51.0%Headshot % · Top 25% of Level 4 players
1.5%Shot accuracy
838MVPs
114Hours (in match)
362Bombs planted
56Bombs defused

Most-used weapons

Lifetime map wins

583nuke
510dust2
202inferno
138vertigo
53train
4office

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

Faceit stats

Combat

4Matches
50%Win rate
1.05Avg K/D
78.5ADR
55%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.7311.0
Nuke10%1.2823.0
Inferno1100%0.547.0
Mirage1100%1.6418.0

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.

15.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
34.4%Spray accuracy
73.3%Counter-strafing
13.4°Preaim
636msReaction time
16.0%T opening success
32.2%CT opening success
0.45Enemies flashed / flash
9.8%Flash assists
5.91HE damage / grenade
3.14Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.38° — above the 12° 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 0.4469 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
rush_0016–8-0.0720%4 Oct →
rush_0013–7-0.0820%4 Oct →
rush_0018–6-0.110%4 Oct →
cache13–50.1030%3 Oct →
cache4–13-0.0116%3 Oct →
inferno8–80.059%1 Oct →
inferno9–4-0.0519%1 Oct →
nuke7–9-0.0528%1 Oct →
nuke9–6-0.045%1 Oct →
poseidon2–9-0.0530%27 Sept →
nuke3–9-0.119%27 Sept →
inferno9–20.1313%19 Sept →
cache12–120.0330%11 Sept →
nuke13–60.019%9 Sept →
anubis12–120.0416%21 Aug →
cache13–9-0.018%20 Aug →
mirage13–7-0.037%16 Aug →
dust29–0-0.0213%13 Aug →
dust213–7-0.0522%3 Aug →
train12–12-0.0115%22 Jul →
cache8–13-0.0517%24 Jun →
mirage6–13-0.026%22 Jun →
mirage9–13-0.0013%30 Mar →
nuke8–8-0.0419%30 Mar →
mirage13–90.0419%22 Mar →
mirage9–13-0.0012%22 Mar →
nuke1–13-0.0817%29 Nov →
train6–13-0.067%29 Nov →
mirage13–30.0315%29 Nov →
overpass13–1-0.018%14 Sept →
dust211–5-0.0617%14 Sept →
overpass2–12-0.0413%10 Sept →
dust21–3-0.050%10 Sept →
mirage7–130.0117%10 Sept →
vertigo7–90.0022%9 Sept →
train3–130.0032%3 Sept →
mirage8–130.0317%3 Sept →
inferno9–3-0.0116%2 Sept →
inferno5–9-0.117%2 Sept →
inferno9–40.0424%1 Sept →
mirage5–13-0.035%31 Aug →
ancient13–20.005%31 Aug →
dust27–130.0923%31 Aug →
dust23–13-0.067%31 Aug →
overpass3–13-0.035%31 Aug →
inferno8–8-0.0612%30 Aug →
train13–100.018%29 Aug →
mirage9–13-0.0011%28 Aug →
dust28–13-0.0716%28 Aug →
ancient13–50.0213%21 Aug →
ancient3–130.0727%21 Aug →
mirage2–13-0.0519%21 Aug →
nuke7–9-0.0613%20 Aug →
dust213–100.0210%20 Aug →
mirage9–13-0.0517%20 Aug →
anubis1–13-0.040%18 Aug →
mirage8–13-0.0112%18 Aug →
dust24–130.0218%18 Aug →
mirage13–6-0.0010%18 Aug →
mirage7–13-0.170%15 Aug →
dust24–13-0.0817%14 Aug →
dust29–13-0.0619%14 Aug →
ancient10–13-0.007%14 Aug →
mirage11–13-0.0217%13 Aug →
dust213–8-0.037%12 Aug →
nuke13–70.0326%11 Aug →
ancient13–40.0720%11 Aug →
agency3–13-0.1017%9 Aug →
mirage13–100.0521%9 Aug →
nuke4–130.0111%8 Aug →
mirage5–13-0.0714%7 Aug →
ancient13–6-0.0411%7 Aug →
nuke6–9-0.079%6 Aug →
nuke5–130.0015%5 Aug →
dust210–13-0.0221%5 Aug →
mirage13–10.046%3 Aug →
ancient15–150.0517%3 Aug →
inferno0–8-0.170%2 Aug →
nuke13–9-0.0611%29 Jun →
nuke6–13-0.040%25 Jun →
nuke4–00.0214%25 Jun →
mirage6–13-0.028%3 Jun →
ancient7–13-0.0214%2 Jun →
ancient5–130.0619%2 Jun →
vertigo12–12-0.0615%28 May →
nuke9–70.008%28 May →
nuke9–40.1722%28 May →
nuke9–20.097%28 May →
mirage13–7-0.019%27 May →
inferno4–9-0.1529%27 May →
inferno8–8-0.0514%27 May →
inferno9–10.3624%27 May →
nuke5–9-0.1313%29 Mar →
nuke9–40.0715%29 Mar →
nuke9–4-0.090%29 Mar →
train7–13-0.0616%25 Nov →
nuke7–9-0.0615%13 Nov →
mirage13–40.0023%6 Aug →
nuke9–30.0711%5 Aug →
mirage13–9-0.0812%3 Aug →

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 →

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