Neon

Neon — CS2 Stats

AT76561198060687435[U:1:100421707]Steam profile ↗✓ No bans

1,083Tracked matches36%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 1,083
+3.6ppWin rate · 32.1% → 35.7%

Rating over time

Premier CS Rating: 22,016 +306 15 Jun – 21 Jun · 3 days played
21,60622,016peak 22,01615 Jun21 Jun
22,016Peak Premier in tracked matches
64Days played since 2025-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim73
Positioning46
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateWWWLLLLLLW

Last 10 vs previous 10: +20pp win rate · −0.05 avg rating · −4.6pp headshot accuracy · −6ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 497ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 500ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim7.3
Utility5.6
Positioning4.6
Opening Duels3.8
Clutch4.6

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

device

Plays most like device 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.3
Positioning4.6
Utility5.6
Mechanics5.7
Opening Duels3.7
Win Impact0.2

Composite 5.2/10 (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 rating0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time522ms−36ms
first ⅓ avg 559ms → last ⅓ avg 522ms
Headshot accuracy17.6%−0.9%
first ⅓ avg 18.4% → last ⅓ avg 17.6%

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.

Personal bests

0.21Best match rating · 13–6 · cache, 10 May →
38%Best headshot accuracy · 9–13 · dust2, 22 Sept →
391msFastest reaction time · 2–13 · anubis, 17 Sept →
13–1Biggest win · mirage, 1 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A138–562%0.03
officeC125–742%0.08
anubisC114–736%0.01
mirageB105–550%0.03
infernoD102–820%-0.01
vertigoC73–443%0.08
overpassD72–529%0.02
cacheB63–350%0.01
nukeS64–267%-0.01
ancientB63–350%0.00
palacio—32–167%0.00
golden—20–20%0.10
fachwerk—10–10%0.09
stronghold—11–0100%0.12
warden—10–10%0.12
sanctum—10–10%0.02
agency—10–10%0.06
rooftop—10–10%-0.29
train—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

733Matches
51%Win rate
1.13Avg K/D
72.3ADR
35%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3053%1.5418.5
Anubis2836%1.0914.8
Ancient1553%1.0415.1
Vertigo1560%0.9814.0
Nuke838%1.0515.0
Dust2425%0.7311.3
Mirage425%0.768.3
Overpass10%1.0814.0

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.

17.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.8%Spray accuracy
75.9%Counter-strafing
9.1°Preaim
518msReaction time
44.8%T opening success
45.1%CT opening success
0.54Enemies flashed / flash
14.3%Flash assists
7.78HE damage / grenade
5.82Flashes / match

Recommended for you

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–130.0315%5 Oct →
mirage13–11-0.0217%5 Oct →
dust213–8-0.0222%28 Sept →
vertigo3–130.0118%23 Sept →
anubis2–130.0110%17 Sept →
anubis1–13-0.116%17 Sept →
anubis12–16-0.0311%13 Sept →
inferno6–13-0.0310%13 Sept →
cache1–13-0.1215%12 Sept →
mirage13–110.0231%10 Sept →
mirage2–130.0222%7 Sept →
inferno7–13-0.0325%7 Sept →
office2–130.0326%3 Sept →
office3–130.0121%1 Sept →
inferno11–130.0313%19 Aug →
cache13–30.0322%19 Aug →
mirage8–13-0.0424%19 Aug →
office10–130.1019%10 Aug →
office13–110.047%7 Aug →
anubis12–120.0323%7 Aug →
anubis12–120.1317%27 Jul →
nuke9–130.0121%20 Jul →
cache7–13-0.0417%20 Jul →
fachwerk8–130.0913%15 Jul →
office5–130.0510%15 Jul →
dust216–12-0.0126%10 Jul →
office13–20.1017%8 Jul →
dust216–140.0112%21 Jun →
cache13–5-0.0529%16 Jun →
mirage12–16-0.0117%16 Jun →
nuke13–50.0017%15 Jun →
anubis11–13-0.0219%15 Jun →
dust29–1-0.045%15 Jun →
ancient14–16-0.008%14 Jun →
inferno7–13-0.049%12 Jun →
dust213–160.0016%12 Jun →
mirage11–130.0615%10 Jun →
cache9–130.0121%10 Jun →
vertigo12–120.0916%6 Jun →
office13–5-0.0113%26 May →
office13–100.0818%16 May →
cache13–60.2112%10 May →
anubis13–7-0.049%5 May →
office11–130.1517%4 May →
anubis13–60.0510%28 Apr →
dust24–13-0.0710%28 Apr →
nuke13–110.0019%28 Apr →
stronghold13–50.1228%25 Apr →
anubis8–13-0.0721%19 Apr →
nuke16–12-0.0113%19 Apr →
overpass13–80.0111%17 Apr →
inferno13–10-0.0316%17 Apr →
vertigo13–90.1311%12 Apr →
nuke15–15-0.0716%11 Apr →
mirage13–10.0114%1 Apr →
office8–130.087%25 Mar →
mirage7–130.059%25 Mar →
overpass13–50.0013%12 Mar →
overpass0–130.0113%12 Mar →
overpass10–130.1121%12 Mar →
warden12–120.129%1 Mar →
ancient13–80.0218%19 Feb →
sanctum5–90.0214%23 Jan →
vertigo12–120.1118%20 Dec →
ancient11–130.0313%12 Dec →
dust23–130.0229%10 Dec →
vertigo5–20.0521%10 Dec →
inferno9–130.0213%8 Dec →
inferno4–13-0.0416%4 Dec →
dust213–30.0117%4 Dec →
office13–100.1325%26 Nov →
overpass6–130.0730%19 Nov →
agency12–120.0619%17 Nov →
overpass14–16-0.0213%23 Oct →
inferno9–13-0.074%23 Oct →
palacio13–50.0320%18 Oct →
dust213–70.0314%17 Oct →
anubis13–80.054%16 Oct →
anubis13–50.0821%16 Oct →
dust213–60.0620%10 Oct →
palacio13–3-0.0215%10 Oct →
overpass6–13-0.0210%8 Oct →
inferno5–130.0723%8 Oct →
vertigo13–110.117%8 Oct →
office7–130.1722%6 Oct →
golden8–130.1421%6 Oct →
dust27–130.1620%6 Oct →
palacio5–13-0.0021%5 Oct →
golden12–120.0610%5 Oct →
rooftop0–9-0.2929%3 Oct →
ancient3–13-0.0321%23 Sept →
dust29–130.0538%22 Sept →
nuke8–10.017%22 Sept →
ancient13–5-0.0133%22 Sept →
inferno12–0-0.027%22 Sept →
ancient13–50.0323%18 Sept →
dust213–100.1320%17 Sept →
mirage13–50.1321%17 Sept →
train13–3-0.0321%17 Sept →
vertigo7–130.0423%14 Sept →

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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