dustoffzero0

dustoffzero0 — CS2 Stats

76561198446142260[U:1:485876532]Steam profile ↗✓ No bans

1,745Tracked matches52%Win rate2025Tracked since
1,397Hours in CS23Hrs last 2 wks
CSDB Rating5.8 SolidSupport
Premier CS Rating18,639Purple band · top ~13.9% of ranked players (population est.)
CSDB Leaderboard#13998 of 28945 tracked
FaceitLevel 7 · 1,253 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,022), 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 rate47.4%46.2%47.2%meets
Shot accuracy0.0%12.5%12.3%12.3% short
Kill/death ratio0.941.061.070.13 short
Match win rate45.4%45.9%46.3%0.9% short

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

Widest gap: Shot accuracy. 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.GGdustoffzero0FACEITLevel 7 · 1,253 ELOSTANDINGTop 42.3% of rankedPREMIER18,639 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning44
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWWTWLLLWL

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

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.3
Aggression4.7
Utility7.1
Positioning4.4
Opening Duels1.5
Clutch5.0

Strong CT-side opener

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 90% playstyle similarity

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

Where you differ: lower positioning profile; 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 49% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.3
Positioning4.4
Utility7.1
Mechanics6.0
Opening Duels2.4
Win Impact5.6

Composite 5.8/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time589ms−14ms
first ⅓ avg 602ms → last ⅓ avg 589ms
Headshot accuracy18.0%+0.3%
first ⅓ avg 17.7% → last ⅓ avg 18.0%

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

0.14Best rating — mirage 13–7
131Biggest win — anubis
6Longest win streak
610In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 59% over 29infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA29171259%0.02
dust2B23111248%0.01
nukeC146843%0.00
infernoC104640%0.01
anubisC94544%-0.01
cacheA74357%0.01
ancient31233%0.02
office3030%-0.06
boulder110100%0.03
fachwerk1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,395Lifetime kills
0.94K/D
2,159Matches
45.4%Match win rate
47.4%Headshot % · Top 50% of Level 7 players
0.0%Shot accuracy
3,680MVPs
1,005Hours (in match)
2,907Bombs planted
650Bombs defused

Most-used weapons

Lifetime map wins

5,048dust2
3,302nuke
2,679inferno
511train
84office
49vertigo
10ar_shoots
7ar_baggage

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

Faceit stats

Combat

55Matches
67%Win rate
1.36Avg K/D
84.7ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
26%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21771%1.2317.8
Mirage1354%1.0914.4
Anubis683%1.7617.8
Nuke683%1.4317.3
Ancient560%1.5716.2
Inferno540%1.5516.0
Cache2100%1.7414.0
Overpass1100%1.2211.0

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.

18.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.0%Spray accuracy
76.8%Counter-strafing
8.4°Preaim
585msReaction time
22.5%T opening success
49.3%CT opening success
0.69Enemies flashed / flash
7.3%Flash assists
9.31HE damage / grenade
17.90Flashes / 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

    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 22.472% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–130.0015%29 Aug
dust213–4-0.0321%29 Aug
mirage13–50.0015%29 Aug
nuke15–150.0220%29 Aug
anubis13–1-0.0414%29 Aug
nuke14–160.1019%28 Aug
dust27–130.1213%28 Aug
dust211–13-0.0115%28 Aug
mirage13–40.0120%28 Aug
mirage8–13-0.0314%28 Aug
mirage13–11-0.0714%26 Aug
dust29–13-0.0421%26 Aug
dust213–20.005%26 Aug
nuke13–8-0.0229%26 Aug
mirage4–130.0029%25 Aug
dust213–70.1033%25 Aug
inferno4–130.0318%22 Aug
nuke7–130.0012%22 Aug
dust215–15-0.0122%22 Aug
dust213–110.0319%22 Aug
cache13–5-0.0515%21 Aug
nuke13–10.1124%21 Aug
mirage13–80.0814%21 Aug
dust213–10-0.0323%21 Aug
mirage7–130.0211%21 Aug
mirage7–130.0419%20 Aug
ancient13–50.0414%20 Aug
cache12–12-0.0318%20 Aug
dust25–130.0116%20 Aug
dust211–130.0618%19 Aug
mirage13–70.1420%19 Aug
cache13–90.0415%18 Aug
mirage13–90.0621%18 Aug
mirage8–130.0917%17 Aug
mirage5–130.1025%17 Aug
dust213–40.1022%17 Aug
inferno3–130.0427%16 Aug
anubis0–13-0.0320%16 Aug
mirage13–50.0115%16 Aug
dust213–20.019%15 Aug
dust213–3-0.0610%13 Aug
dust213–50.0324%11 Aug
inferno13–9-0.0512%11 Aug
nuke13–80.018%11 Aug
dust28–13-0.040%11 Aug
mirage13–70.0313%11 Aug
cache11–130.0415%8 Aug
boulder13–60.0312%7 Aug
cache14–160.0325%7 Aug
inferno7–13-0.0522%7 Aug
mirage13–8-0.0322%7 Aug
inferno5–130.0418%6 Aug
fachwerk9–13-0.019%6 Aug
mirage13–50.0116%6 Aug
dust216–140.0522%6 Aug
anubis9–13-0.0316%3 Aug
nuke8–20.069%3 Aug
anubis14–16-0.0222%2 Aug
mirage13–90.1222%2 Aug
mirage11–13-0.078%30 Jul
nuke9–13-0.0422%30 Jul
dust20–13-0.0121%29 Jul
office10–13-0.0718%29 Jul
office12–12-0.1043%29 Jul
nuke3–13-0.0218%29 Jul
nuke13–9-0.0720%27 Jul
mirage10–13-0.0315%27 Jul
dust26–13-0.0116%25 Jul
anubis4–13-0.0410%25 Jul
dust28–13-0.038%25 Jul
dust214–16-0.0113%25 Jul
nuke13–10-0.0417%25 Jul
anubis13–9-0.0013%24 Jul
mirage13–60.0216%24 Jul
office4–13-0.0218%24 Jul
cache13–60.0318%24 Jul
inferno11–13-0.0118%24 Jul
mirage13–3-0.0511%24 Jul
dust210–130.0420%24 Jul
cache16–140.0312%23 Jul
mirage6–13-0.0928%23 Jul
anubis10–130.0023%23 Jul
inferno13–9-0.0127%23 Jul
nuke11–13-0.0412%23 Jul
nuke6–130.0123%23 Jul
dust213–40.0427%23 Jul
mirage13–20.0034%22 Jul
anubis13–90.0519%22 Jul
anubis13–50.0316%22 Jul
mirage12–120.0728%22 Jul
mirage5–130.0518%22 Jul
inferno13–110.0817%22 Jul
ancient3–130.0313%22 Jul
mirage13–70.0311%21 Jul
inferno13–90.0520%21 Jul
mirage9–130.0321%21 Jul
mirage13–100.0814%21 Jul
ancient6–130.0114%21 Jul
mirage13–11-0.0115%21 Jul
nuke5–13-0.0412%20 Jul

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 →