✪ AToN ツ

✪ AToN ツ — CS2 Stats

DE76561198202615840[U:1:242350112]Steam profile ↗✓ No bans

1,450Tracked matches47%Win rate2020Tracked since
3,595Hours in CS15Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 7 · 1,565 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (64 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,565 → 1,565
+77Tracked matches · now 1,450
0.0ppWin rate · 46.7% → 46.7%

Rating over time

1,565Highest Faceit ELO seen on CSDB
47Days played since 2026-07-06

Faceit ELO

  • At peak — 1,565
  • Next: Level 9 at 1,751 — 186 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-02
  • Level 7 first seen 2026-09-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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 rate37.4%45.7%46.8%9.4% short
Shot accuracy13.2%12.7%13.0%meets
Kill/death ratio1.051.051.06meets
Match win rate45.1%45.7%46.3%1.2% short

This profile matches the typical Level 8 player on 2 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.GG✪ AToN ツFACEITLevel 7 · 1,565 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,565csdb.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

Aim74
Positioning65
Utility63

0–100 skill scores via Leetify.

Recent form

COLD46–53–1Last 10046%Win rateLLWWLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.2pp headshot accuracy · +24ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 536ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 541ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 528ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim7.4
Utility6.3
Positioning6.5
Opening Duels4.2
Clutch4.0

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.

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

jL

Plays most like jL 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

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

Aim7.4
Positioning6.5
Utility6.3
Mechanics4.0
Opening Duels5.7
Win Impact3.9

Composite 5.7/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time527ms−22ms
first ⅓ avg 550ms → last ⅓ avg 527ms
Headshot accuracy12.9%−0.7%
first ⅓ avg 13.6% → last ⅓ avg 12.9%

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

0.13Best match rating · 13–3 · nuke, 22 Jul →
28%Best headshot accuracy · 13–4 · cache, 6 Aug →
391msFastest reaction time · 13–6 · ancient, 1 Oct →
13–3Biggest win · nuke, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 65% over 20anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC3212–2038%0.00
nukeS2013–765%0.04
ancientB178–947%0.03
cacheB168–850%0.01
dust2C83–538%-0.01
anubisD51–420%0.01
mirage—21–150%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,522Lifetime kills
1.05K/D · Top 50% of Level 7 players
4,083Matches
45.1%Match win rate
37.4%Headshot %
13.2%Shot accuracy · Top 50% of Level 7 players
10,494MVPs
1,708Hours (in match)
6,531Bombs planted
1,307Bombs defused

Most-used weapons

AK-4722,231
AWP8,058
P904,286
MAC-103,206
MP92,452
P2501,500

Lifetime map wins

7,440inferno
3,490dust2
3,160train
2,764nuke
2,381vertigo
207cbble
189lake
46office

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

Faceit stats

Combat

1,018Matches
50%Win rate
1.23Avg K/D
86.5ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno22950%1.2817.8
Ancient20951%1.3619.2
Nuke14653%1.3018.0
Anubis8741%1.1816.9
Overpass5650%1.3019.2
Mirage4257%1.2415.5
Dust23741%1.0816.5
Cache2650%1.1716.0

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.

12.7%Headshot accuracy
38.9%Accuracy (enemy spotted)
45.9%Spray accuracy
68.2%Counter-strafing
9.3°Preaim
529msReaction time
48.1%T opening success
57.4%CT opening success
0.69Enemies flashed / flash
6.8%Flash assists
11.39HE damage / grenade
7.30Flashes / 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 12.6855% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–16-0.037%3 Nov →
nuke2–13-0.0325%3 Nov →
cache13–110.004%3 Nov →
nuke13–90.0014%2 Nov →
ancient11–130.0016%31 Oct →
nuke13–30.1011%31 Oct →
ancient10–130.0215%29 Oct →
inferno9–13-0.0318%29 Oct →
inferno6–130.0210%29 Oct →
cache10–130.0019%27 Oct →
nuke13–50.0518%22 Oct →
ancient13–90.039%22 Oct →
nuke13–70.0713%22 Oct →
cache6–13-0.092%15 Oct →
dust27–13-0.0413%15 Oct →
inferno10–130.0315%15 Oct →
cache12–16-0.035%15 Oct →
inferno13–80.0211%15 Oct →
inferno13–40.035%14 Oct →
nuke10–130.0116%13 Oct →
nuke9–130.0416%13 Oct →
ancient10–13-0.035%7 Oct →
inferno13–80.0214%7 Oct →
nuke13–100.0715%7 Oct →
nuke5–130.0817%7 Oct →
ancient13–8-0.0015%6 Oct →
cache8–130.0618%6 Oct →
nuke13–7-0.0416%5 Oct →
nuke13–70.0112%5 Oct →
cache13–7-0.0413%2 Oct →
dust25–13-0.0510%1 Oct →
inferno3–13-0.0310%1 Oct →
inferno13–90.0119%1 Oct →
ancient9–130.0415%1 Oct →
ancient13–6-0.0117%1 Oct →
anubis14–160.0513%30 Sept →
dust23–13-0.0024%30 Sept →
inferno13–80.0415%29 Sept →
cache10–13-0.0113%29 Sept →
dust29–13-0.0610%29 Sept →
inferno5–13-0.0118%29 Sept →
cache13–80.0815%28 Sept →
cache9–13-0.0513%28 Sept →
ancient13–100.0711%24 Sept →
cache13–90.1212%24 Sept →
inferno13–160.0111%24 Sept →
cache13–11-0.0217%24 Sept →
nuke13–60.0510%23 Sept →
inferno13–70.017%23 Sept →
inferno13–11-0.0012%22 Sept →
inferno9–130.1120%22 Sept →
dust216–140.0322%22 Sept →
ancient8–130.0119%21 Sept →
inferno6–13-0.0410%21 Sept →
inferno16–13-0.018%20 Sept →
ancient10–130.0414%20 Sept →
nuke13–60.0619%20 Sept →
cache9–13-0.0410%17 Sept →
ancient13–110.0610%17 Sept →
nuke8–13-0.0512%16 Sept →
inferno11–130.0014%16 Sept →
inferno8–13-0.0125%15 Sept →
dust213–50.0018%13 Sept →
nuke13–80.0821%6 Sept →
inferno12–120.0313%6 Sept →
anubis13–10-0.0316%21 Aug →
cache8–130.0016%19 Aug →
anubis5–13-0.039%19 Aug →
nuke13–80.0413%18 Aug →
inferno13–5-0.029%18 Aug →
ancient7–130.0118%17 Aug →
nuke13–160.0514%17 Aug →
ancient13–60.0414%17 Aug →
cache13–80.098%14 Aug →
inferno5–130.0121%13 Aug →
inferno7–130.0022%12 Aug →
inferno16–190.0214%12 Aug →
mirage16–130.0212%12 Aug →
cache13–40.1228%6 Aug →
inferno13–70.0612%5 Aug →
nuke16–130.0410%4 Aug →
anubis8–130.0112%4 Aug →
dust213–50.0522%31 Jul →
ancient7–130.0313%30 Jul →
anubis8–130.0413%29 Jul →
ancient8–130.0223%29 Jul →
inferno13–60.0314%29 Jul →
nuke9–130.0011%29 Jul →
ancient19–170.098%29 Jul →
cache13–9-0.0220%27 Jul →
inferno10–13-0.0011%27 Jul →
inferno5–13-0.0510%22 Jul →
nuke13–30.1320%22 Jul →
mirage6–13-0.0512%20 Jul →
inferno5–13-0.0513%19 Jul →
inferno8–13-0.090%8 Jul →
inferno13–40.0211%8 Jul →
inferno14–16-0.037%7 Jul →
inferno9–13-0.0414%6 Jul →
ancient13–50.0212%6 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 →

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