.:aTomiC- — CS2 Stats

76561197983428093[U:1:23162365]✓ No bans

1,047Tracked matches39%Win rate2020Tracked since
3,538Hours in CS2Hrs last 2 wks
CSDB Rating4.6 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.3%42.1%42.5%4.2% short
Shot accuracy22.0%12.1%10.9%above
Kill/death ratio1.180.990.99above
Match win rate43.4%43.9%44.2%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG.:aTomiC-FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning42
Utility51

0–100 skill scores via Leetify.

Recent form

COLD38584Last 10038%Win rateLLLTWLLLLT

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

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

Aim6.2
Aggression6.8
Utility5.1
Positioning4.2
Opening Duels2.3
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

Twistzz

Plays most like Twistzz 85% playstyle similarity

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

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 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 676ms 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

Aim6.2
Positioning4.2
Utility5.1
Mechanics5.0
Opening Duels2.5
Win Impact1.4

Composite 4.6/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time648ms−43ms
first ⅓ avg 691ms → last ⅓ avg 648ms
Headshot accuracy13.7%−0.0%
first ⅓ avg 13.7% → last ⅓ avg 13.7%

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

0.24Best rating — inferno 9–4
130Biggest win — dust2
3Longest win streak
L3Current streak
711In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
infernoD2471729%0.01
mirageD1861233%-0.02
ancientC167944%-0.02
dust2C167944%-0.03
cacheC145936%0.01
anubisA53260%-0.02
nuke41325%-0.02
overpass220100%-0.05
poseidon1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,917Lifetime kills
1.18K/D · Top 25% of Level 3 players
7,465Matches
43.4%Match win rate
38.3%Headshot %
22.0%Shot accuracy · Top 1% of Level 3 players
11,897MVPs
2,094Hours (in match)
3,882Bombs planted
1,095Bombs defused

Most-used weapons

AWP19,909
AK-4717,560
P907,413
P2502,832

Lifetime map wins

6,705dust2
5,997inferno
2,071nuke
1,672train
1,616lake
1,549bank
1,460safehouse
1,399vertigo

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

Faceit stats

Combat

153Matches
42%Win rate
0.84Avg K/D
68.2ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient1753%1.0013.6
Mirage1788%1.3317.5
Inferno1164%1.0412.2
Anubis812%0.8211.3
Overpass729%0.9014.6
Nuke617%0.599.8
Vertigo333%0.7311.0
Dust2367%0.7312.3

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.

14.8%Headshot accuracy
40.8%Accuracy (enemy spotted)
44.6%Spray accuracy
72.5%Counter-strafing
11.5°Preaim
676msReaction time
27.9%T opening success
50.3%CT opening success
0.62Enemies flashed / flash
2.9%Flash assists
11.10HE damage / grenade
6.61Flashes / 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 14.7882% — 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 27.8594% — 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.

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0011%16 Aug
inferno7–9-0.039%16 Aug
inferno2–9-0.0210%15 Aug
inferno8–80.1324%15 Aug
inferno9–40.2420%14 Aug
nuke2–9-0.177%12 Aug
ancient6–13-0.0129%4 Aug
ancient10–13-0.009%4 Aug
dust24–13-0.038%3 Aug
nuke15–150.0212%1 Aug
dust214–16-0.0619%31 Jul
dust24–13-0.0624%30 Jul
ancient13–11-0.008%30 Jul
inferno9–130.0113%30 Jul
inferno13–80.0613%29 Jul
cache13–110.017%28 Jul
nuke11–13-0.0222%28 Jul
inferno3–9-0.1115%27 Jul
inferno9–20.1915%27 Jul
poseidon3–9-0.0518%27 Jul
inferno2–9-0.105%27 Jul
dust213–00.0414%27 Jul
dust28–13-0.0712%23 Jul
dust213–80.0319%21 Jul
inferno13–11-0.0216%21 Jul
mirage13–7-0.0110%21 Jul
mirage9–130.0224%21 Jul
ancient15–15-0.019%18 Jul
mirage7–130.0011%17 Jul
cache2–13-0.065%17 Jul
dust213–4-0.025%13 Jul
cache11–130.0612%8 Jul
mirage13–16-0.0216%29 Jun
dust25–13-0.0514%29 Jun
inferno13–50.0334%23 Jun
dust216–14-0.0511%20 Jun
ancient14–16-0.0414%18 Jun
mirage13–10.0840%17 Jun
mirage4–9-0.0413%13 Jun
inferno2–130.1013%10 Jun
mirage13–110.0714%29 May
anubis13–110.0213%28 May
anubis6–13-0.0414%27 May
dust210–13-0.0217%26 May
mirage10–130.0025%26 May
inferno5–13-0.0513%22 May
cache9–13-0.0218%22 May
mirage13–7-0.0213%20 May
cache8–130.0116%18 May
cache7–13-0.0216%13 May
inferno9–13-0.0314%12 May
dust211–13-0.0416%12 May
cache13–7-0.028%10 May
cache8–130.0015%10 May
cache9–130.0314%9 May
cache5–130.0928%8 May
inferno8–130.0220%8 May
cache13–9-0.0312%8 May
mirage10–13-0.0610%7 May
overpass13–10-0.1013%7 May
cache13–100.0513%7 May
cache8–130.0115%7 May
cache13–10.0413%5 May
ancient5–13-0.0930%5 May
mirage13–70.0232%4 May
ancient13–7-0.0415%4 May
ancient13–80.0111%4 May
inferno10–13-0.0010%20 Apr
dust26–13-0.0220%20 Apr
mirage13–70.0223%19 Apr
ancient13–5-0.0016%19 Apr
ancient11–130.0217%13 Apr
anubis5–13-0.044%12 Apr
nuke13–10.079%12 Apr
inferno6–13-0.055%12 Apr
inferno7–13-0.0119%7 Apr
inferno13–9-0.0014%1 Apr
ancient7–13-0.0613%31 Mar
inferno3–13-0.0313%31 Mar
dust212–4-0.0514%31 Mar
inferno13–70.0321%31 Mar
mirage2–13-0.0813%30 Mar
mirage11–13-0.068%25 Mar
dust213–9-0.0111%17 Mar
ancient13–110.0318%17 Mar
dust213–3-0.0230%15 Mar
ancient2–13-0.0418%15 Mar
dust210–13-0.0615%9 Mar
inferno15–15-0.0411%9 Mar
mirage2–13-0.097%9 Mar
mirage11–13-0.049%8 Mar
anubis13–7-0.064%8 Mar
overpass16–12-0.007%8 Mar
mirage11–13-0.0513%8 Mar
inferno5–13-0.0216%6 Mar
ancient13–4-0.045%6 Mar
ancient7–13-0.029%27 Feb
mirage10–13-0.0624%27 Feb
ancient13–3-0.0319%26 Feb
anubis13–80.0118%23 Feb

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 →