Atlas

Atlas — CS2 Stats

IT76561198069442213[U:1:109176485]Steam profile ↗✓ No bans

2,382Tracked matches36%Win rate2020Tracked since
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating13,617Blue band · top ~35.7% of ranked players (population est.)
CSDB Leaderboard#21645 of 32725 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGAtlasFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER13,617 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning53
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateLWLTWLWTWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim4.4
Aggression7.1
Utility3.1
Positioning5.3
Opening Duels2.8
Clutch8.8

Strong CT-side openerLimited utility dependenceReliable 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.

Your pro match

ropz

Plays most like ropz 80% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 56% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning5.3
Utility3.1
Mechanics3.9
Opening Duels3.2
Win Impact0.2

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time646ms−11ms
first ⅓ avg 657ms → last ⅓ avg 646ms
Headshot accuracy14.1%+2.6%
first ⅓ avg 11.5% → last ⅓ avg 14.1%

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.

Highlights

0.13Best rating — nuke 7–0
131Biggest win — nuke
6Longest win streak
57In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 69% over 13anubisWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB25131252%0.01
mirageB1910953%-0.02
infernoC167944%-0.01
dust2S139469%0.01
cacheA117464%0.01
anubisD101910%-0.04
ancient32167%-0.01
overpass31233%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

73Matches
49%Win rate
0.92Avg K/D
81.1ADR
27%Headshot %

Clutches & streaks

64%1v1 clutch win
16%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno967%1.2615.2
Mirage633%1.1318.3
Dust2560%1.1519.8
Nuke250%1.0915.5
Ancient250%0.548.5
Anubis10%0.8713.0
Train10%0.8814.0

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.

13.7%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.9%Spray accuracy
67.5%Counter-strafing
10.1°Preaim
642msReaction time
26.6%T opening success
55.9%CT opening success
0.59Enemies flashed / flash
0.6%Flash assists
6.32HE damage / grenade
3.16Flashes / 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 13.6976% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1554 — below the 4 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 26.6295% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.096%26 Aug
nuke13–11-0.0313%24 Aug
inferno6–13-0.0612%24 Aug
dust215–15-0.0416%23 Aug
dust213–5-0.0317%22 Aug
dust28–13-0.0111%22 Aug
mirage13–20.0514%20 Aug
anubis15–15-0.027%19 Aug
ancient13–100.078%18 Aug
cache11–130.0216%18 Aug
mirage13–16-0.087%17 Aug
dust28–13-0.0614%17 Aug
nuke13–40.029%16 Aug
mirage9–130.0024%16 Aug
nuke10–13-0.0330%10 Aug
cache11–13-0.037%9 Aug
nuke13–70.0211%9 Aug
inferno14–160.009%6 Aug
cache7–130.0420%3 Aug
nuke4–13-0.0121%2 Aug
dust213–100.0115%2 Aug
anubis11–13-0.0518%1 Aug
inferno13–8-0.0324%1 Aug
mirage6–13-0.0332%31 Jul
cache4–13-0.076%31 Jul
inferno11–13-0.0215%31 Jul
anubis10–13-0.0717%25 Jul
ancient10–13-0.064%25 Jul
nuke13–7-0.0111%25 Jul
mirage13–50.029%23 Jul
inferno13–50.0716%23 Jul
cache13–110.0114%22 Jul
nuke13–50.0717%22 Jul
mirage13–8-0.1015%20 Jul
anubis7–13-0.109%19 Jul
inferno4–13-0.0513%19 Jul
mirage13–60.0215%16 Jul
inferno13–70.0416%16 Jul
nuke13–30.045%16 Jul
nuke8–13-0.0410%16 Jul
inferno13–4-0.009%16 Jul
mirage13–2-0.0111%15 Jul
cache13–70.109%15 Jul
nuke7–13-0.042%15 Jul
nuke13–10.0425%14 Jul
cache13–10-0.0110%14 Jul
dust213–110.1220%14 Jul
inferno9–13-0.027%13 Jul
mirage15–150.0016%13 Jul
nuke15–150.0217%12 Jul
mirage3–13-0.075%12 Jul
cache13–9-0.109%12 Jul
anubis8–13-0.0524%12 Jul
mirage3–13-0.0810%12 Jul
nuke4–13-0.0322%12 Jul
inferno15–15-0.0210%12 Jul
anubis16–130.0124%12 Jul
nuke6–130.0211%12 Jul
inferno13–30.0125%11 Jul
nuke13–60.0420%11 Jul
cache8–20.098%6 Jul
cache13–30.0914%6 Jul
cache13–30.008%6 Jul
inferno6–13-0.027%30 Jun
overpass5–13-0.048%30 Jun
inferno13–4-0.019%30 Jun
anubis5–130.019%30 Jun
dust213–110.0013%29 Jun
nuke8–130.0715%29 Jun
nuke6–13-0.034%29 Jun
dust213–30.1115%29 Jun
overpass6–130.0025%28 Jun
nuke9–130.0111%27 Jun
mirage4–13-0.0312%27 Jun
dust213–5-0.0213%27 Jun
overpass16–140.0520%25 Jun
mirage13–9-0.0614%25 Jun
nuke11–130.0116%22 Jun
dust28–13-0.0410%21 Jun
ancient16–13-0.0310%21 Jun
mirage13–90.0416%21 Jun
nuke13–80.008%21 Jun
dust213–9-0.0216%21 Jun
nuke13–1-0.015%21 Jun
dust213–30.0611%20 Jun
inferno7–13-0.029%20 Jun
nuke13–7-0.026%20 Jun
anubis2–13-0.0819%19 Jun
nuke8–13-0.002%19 Jun
mirage13–10-0.0011%19 Jun
anubis4–13-0.0313%18 Jun
nuke12–7-0.047%18 Jun
mirage13–30.026%16 Jun
anubis9–13-0.029%15 Jun
nuke7–00.135%15 Jun
dust213–60.0235%15 Jun
inferno10–130.014%15 Jun
inferno13–5-0.043%15 Jun
mirage13–30.014%15 Jun
mirage10–130.0212%14 Jun

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 →