DUST2 OR TROLL

DUST2 OR TROLL — CS2 Stats

76561197991721939[U:1:31456211]Steam profile ↗✓ No bans

1,281Tracked matches61%Win rate2020Tracked since
4,666Hours in CS
CSDB Rating5.2 DevelopingClutch Specialist
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (51 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,281 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,109 -7,846 22 Mar – 10 Jan · 32 days played
16,09124,105peak 24,10522 Mar10 Jan
24,105Peak Premier in tracked matches
54Days played since 2025-03-22

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate39.0%45.7%46.8%7.8% short
Shot accuracy17.2%12.7%13.0%above
Kill/death ratio0.981.051.060.08 short
Match win rate44.0%45.7%46.3%2.3% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDUST2 OR TROLLFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim49
Positioning46
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWLTLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −1.6pp headshot accuracy · +29ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 585ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 632ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

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 (+2.3 against its own average).

Aim4.9
Utility5.8
Positioning4.6
Opening Duels2.1
Clutch7.2

Reliable in 1v1s

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

ZywOo

Plays most like ZywOo 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 638ms 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

Aim4.9
Positioning4.6
Utility5.8
Mechanics6.3
Opening Duels1.5
Win Impact8.6

Composite 5.2/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time620ms+10ms
first ⅓ avg 610ms → last ⅓ avg 620ms
Headshot accuracy17.1%+0.7%
first ⅓ avg 16.4% → last ⅓ avg 17.1%

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

0.12Best match rating · 13–4 · dust2, 3 Apr →
37%Best headshot accuracy · 4–13 · nuke, 21 Dec →
422msFastest reaction time · 9–13 · ancient, 2 Apr →
13–2Biggest win · overpass, 14 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 57% over 7ancientWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.01
ancientD195–1426%-0.01
nukeB126–650%-0.01
anubisB126–650%-0.02
infernoA116–555%-0.01
mirageA74–357%-0.01
overpassC73–443%0.01
train—42–250%0.01
cache—22–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

186,585Lifetime kills
0.98K/D
6,949Matches
44.0%Match win rate
39.0%Headshot %
17.2%Shot accuracy · Top 25% of Level 7 players
21,109MVPs
4,666Hours (in match)
9,335Bombs planted
4,487Bombs defused

Most-used weapons

AK-4764,263
AWP22,423
MAC-105,052
MP93,515
FAMAS3,008

Lifetime map wins

34,626dust2
15,647inferno
3,892nuke
2,203cbble
1,128train
1,118vertigo
134lake
87office

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

Faceit stats

Combat

977Matches
50%Win rate
0.94Avg K/D
93.6ADR
40%Headshot %

Clutches & streaks

56%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2850%1.0320.0
Anubis862%1.2016.1
Nuke667%1.0414.7
Mirage450%0.9316.3
Ancient333%0.6911.7
Inferno3100%1.9823.7
Vertigo10%0.436.0
Train1100%1.4217.0

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.

16.9%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.2%Spray accuracy
78.5%Counter-strafing
12.7°Preaim
638msReaction time
30.3%T opening success
41.8%CT opening success
0.64Enemies flashed / flash
3.5%Flash assists
5.81HE damage / grenade
8.17Flashes / 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 12.6696° — above the 12° mark we flag

    Aim Training →
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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0111%6 Sept →
anubis8–13-0.0617%5 Sept →
dust215–15-0.0115%4 Sept →
dust24–13-0.078%4 Sept →
cache13–4-0.0020%2 Aug →
anubis13–90.0421%2 Aug →
dust213–8-0.0415%2 Aug →
dust213–70.0219%2 Aug →
anubis8–13-0.0224%26 Jul →
cache13–11-0.0116%4 May →
mirage13–50.0316%14 Apr →
inferno8–130.0325%10 Jan →
ancient8–130.0419%2 Jan →
dust213–3-0.0517%29 Dec →
nuke4–13-0.0537%21 Dec →
inferno13–9-0.0616%21 Dec →
nuke0–2-0.090%21 Dec →
dust24–13-0.0917%8 Oct →
inferno4–13-0.0521%7 Oct →
dust213–5-0.0317%7 Oct →
overpass8–13-0.0317%6 Oct →
mirage16–13-0.0710%4 Oct →
dust213–110.0013%4 Oct →
dust213–11-0.0425%4 Oct →
overpass11–130.0318%3 Oct →
dust213–8-0.0010%3 Oct →
ancient15–150.029%3 Oct →
overpass13–80.0118%30 Sept →
train13–7-0.0213%29 Sept →
dust213–30.0118%27 Sept →
ancient13–16-0.0315%27 Sept →
nuke7–13-0.0034%26 Sept →
ancient3–13-0.0016%23 Sept →
dust27–130.0130%22 Sept →
dust216–140.0217%22 Sept →
ancient11–13-0.0515%20 Sept →
nuke13–5-0.0218%20 Sept →
inferno9–13-0.047%19 Sept →
nuke13–90.0315%19 Sept →
nuke8–13-0.0513%17 Sept →
mirage13–110.0334%16 Sept →
mirage15–150.0114%15 Sept →
train13–100.079%15 Sept →
overpass13–20.0710%14 Sept →
overpass13–11-0.0211%14 Sept →
ancient9–13-0.0020%14 Sept →
ancient13–80.0613%13 Sept →
inferno13–70.0725%13 Sept →
ancient13–5-0.0619%13 Sept →
dust28–13-0.0125%13 Sept →
dust213–30.0725%12 Sept →
dust211–13-0.0315%12 Sept →
dust212–120.056%12 Sept →
train6–130.0331%12 Sept →
nuke6–13-0.1022%12 Sept →
anubis9–100.0128%11 Sept →
nuke13–40.1126%11 Sept →
inferno16–12-0.0325%10 Sept →
ancient11–13-0.0512%7 Sept →
overpass10–13-0.0413%4 Sept →
mirage6–13-0.0317%4 Sept →
inferno13–100.0318%4 Sept →
nuke13–110.0316%3 Sept →
inferno13–7-0.029%3 Sept →
dust29–13-0.0216%2 Sept →
overpass9–130.0312%2 Sept →
dust28–13-0.0622%1 Sept →
ancient13–70.0415%1 Sept →
inferno4–00.0320%1 Sept →
dust213–7-0.0314%31 Aug →
train9–13-0.0513%31 Aug →
inferno6–13-0.0511%30 Aug →
dust211–130.0313%30 Aug →
anubis13–5-0.0019%30 May →
mirage16–14-0.0218%26 May →
ancient5–13-0.0421%14 May →
anubis14–16-0.028%5 May →
anubis10–13-0.0418%30 Apr →
ancient9–13-0.0616%22 Apr →
dust213–16-0.0516%21 Apr →
ancient11–13-0.0210%5 Apr →
nuke6–13-0.0314%5 Apr →
nuke13–90.0316%4 Apr →
anubis13–11-0.0317%4 Apr →
ancient13–70.0815%4 Apr →
inferno8–13-0.0324%4 Apr →
anubis13–4-0.0511%4 Apr →
ancient10–13-0.0416%3 Apr →
anubis7–130.0310%3 Apr →
dust213–40.1220%3 Apr →
ancient9–130.0115%2 Apr →
dust26–13-0.029%2 Apr →
mirage6–13-0.0226%31 Mar →
ancient8–13-0.0924%31 Mar →
ancient13–7-0.0135%30 Mar →
dust214–160.0119%23 Mar →
anubis13–7-0.0019%22 Mar →
anubis13–10-0.0514%22 Mar →
ancient5–13-0.0411%22 Mar →
dust29–13-0.0417%22 Mar →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.