Atomic Robo

Atomic Robo — CS2 Stats

76561198033177954[U:1:72912226]Steam profile ↗✓ No bans

948Tracked matches54%Win rate2023Tracked since
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating21,621Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#16459 of 56434 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAtomic RoboFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,621 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY484012Last 10048%Win rateWLWLWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression3.6
Utility4.6
Positioning4.3
Opening Duels0.2
Clutch0.0

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 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 578ms 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

Aim6.9
Positioning4.3
Utility4.6
Mechanics5.8
Opening Duels0.4
Win Impact6.2

Composite 5.3/10 (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 rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time580ms+6ms
first ⅓ avg 574ms → last ⅓ avg 580ms
Headshot accuracy13.6%−3.7%
first ⅓ avg 17.3% → last ⅓ avg 13.6%

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.

Highlights

0.13Best rating — inferno 13–2
130Biggest win — nuke
6Longest win streak
65In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 83% over 6anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2081240%-0.00
infernoB179853%0.02
mirageC167944%-0.01
anubisD124833%-0.01
cacheC94544%0.03
nukeA74357%-0.00
trainS65183%-0.00
ancientS54180%0.02
vertigo41325%-0.01
overpass42250%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches
43%Win rate
0.96Avg K/D
73.8ADR
39%Headshot %

Clutches & streaks

17%1v1 clutch win
10%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.9215.5
Inferno560%1.0512.8
Anubis20%1.0218.0
Ancient250%0.8711.0
Nuke1100%1.0014.0

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.

12.9%Headshot accuracy
38.8%Accuracy (enemy spotted)
44.6%Spray accuracy
76.1%Counter-strafing
10.9°Preaim
578msReaction time
28.9%T opening success
33.0%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
5.91HE damage / grenade
8.67Flashes / 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 12.9103% — below the 15% mark we flag

    Aim Training
  2. 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 28.8933% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.0215%27 Aug
dust22–13-0.0118%27 Aug
inferno13–90.0013%26 Aug
cache7–13-0.0710%26 Aug
mirage13–70.0628%26 Aug
nuke13–90.0218%19 Aug
anubis9–13-0.0318%19 Aug
mirage6–13-0.033%19 Aug
train13–100.0110%13 Aug
anubis0–70.0017%13 Aug
vertigo8–13-0.0215%13 Aug
cache8–13-0.0810%13 Aug
vertigo12–12-0.0414%9 Aug
ancient13–70.079%9 Aug
dust27–13-0.0412%9 Aug
mirage13–9-0.0110%9 Aug
inferno13–30.0210%8 Aug
nuke13–00.0136%8 Aug
dust213–110.0410%8 Aug
mirage9–130.0312%8 Aug
dust213–80.0211%4 Aug
cache13–11-0.0416%4 Aug
anubis12–12-0.0210%4 Aug
dust213–10-0.048%1 Aug
mirage6–130.0712%1 Aug
inferno6–13-0.0111%1 Aug
vertigo1–13-0.0723%1 Aug
cache13–90.117%30 Jul
inferno13–100.029%27 Jul
anubis4–13-0.048%27 Jul
cache12–120.0612%26 Jul
dust213–11-0.0213%26 Jul
nuke13–9-0.0519%26 Jul
dust29–13-0.0513%26 Jul
inferno13–50.0427%25 Jul
anubis7–13-0.0317%25 Jul
inferno5–130.0121%25 Jul
nuke6–13-0.0722%25 Jul
dust216–140.0120%22 Jul
mirage13–6-0.0417%22 Jul
ancient13–7-0.032%20 Jul
inferno13–3-0.017%20 Jul
inferno13–60.0716%15 Jul
dust21–3-0.130%15 Jul
anubis13–11-0.0412%13 Jul
inferno15–15-0.0412%13 Jul
dust212–120.0715%10 Jul
mirage3–13-0.0135%10 Jul
mirage5–13-0.0411%10 Jul
inferno12–16-0.047%10 Jul
mirage13–2-0.0214%10 Jul
ancient15–15-0.0217%10 Jul
dust213–50.0118%10 Jul
mirage13–100.0410%6 Jul
anubis4–13-0.055%6 Jul
cache13–60.0922%6 Jul
inferno12–12-0.0111%6 Jul
dust27–130.0318%6 Jul
dust23–13-0.0434%2 Jul
cache12–120.027%2 Jul
inferno11–130.0323%27 Jun
mirage10–130.0311%27 Jun
ancient13–70.0512%27 Jun
overpass7–13-0.039%24 Jun
anubis13–20.0110%24 Jun
nuke3–130.0415%24 Jun
train13–4-0.029%24 Jun
cache13–50.0814%24 Jun
dust212–120.0219%24 Jun
inferno13–40.0816%24 Jun
nuke13–80.0515%23 Jun
train8–5-0.0463%23 Jun
mirage11–130.0016%21 Jun
ancient13–60.0529%20 Jun
inferno13–80.0118%20 Jun
anubis13–110.0011%20 Jun
overpass13–7-0.0214%20 Jun
anubis13–70.0122%18 Jun
overpass13–70.006%18 Jun
dust24–13-0.009%18 Jun
mirage10–13-0.049%18 Jun
train12–12-0.0419%18 Jun
dust29–130.0015%11 Jun
dust23–130.0312%11 Jun
nuke3–13-0.0423%11 Jun
anubis9–130.0516%11 Jun
inferno11–130.066%11 Jun
mirage13–7-0.0418%11 Jun
overpass3–13-0.047%11 Jun
inferno13–20.137%10 Jun
inferno12–120.0111%5 Jun
vertigo13–40.0812%5 Jun
mirage2–13-0.0913%5 Jun
dust211–130.0127%5 Jun
train13–20.0229%5 Jun
dust213–100.0529%2 Jun
train13–40.0432%2 Jun
cache4–130.0712%2 Jun
anubis12–12-0.017%2 Jun
dust213–100.0015%1 Jun

Match data via Leetify.

Recent teammates

Milestones

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