enox

enox — CS2 Stats

NO76561197960673874[U:1:408146]Steam profile ↗✓ No bans

410Tracked matches72%Win rate2020Tracked since
CSDB Rating7.2 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 410 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 15 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 27,030 +575 22 Sept – 17 Sept · 22 days played
23,01328,566peak 28,56622 Sept17 Sept
28,688Peak Premier in tracked matches
38Days played since 2025-09-15

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

Share this profile

CSDB.GGenoxFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim81
Positioning67
Utility67

0–100 skill scores via Leetify.

Recent form

HOT61–35–4Last 10061%Win rateLWWWWWWWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · +25ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 464ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 521ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 509ms

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 (+1.1 against its own average).

Aim8.1
Utility6.7
Positioning6.7
Opening Duels6.3
Clutch2.6

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

m0NESY

Plays most like m0NESY 85% 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

Aim8.1
Positioning6.7
Utility6.7
Mechanics6.1
Opening Duels5.6
Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time530ms−13ms
first ⅓ avg 544ms → last ⅓ avg 530ms
Headshot accuracy23.8%+1.6%
first ⅓ avg 22.3% → last ⅓ avg 23.8%

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

0.17Best match rating · 13–2 · ancient, 13 Oct →
47%Best headshot accuracy · 13–7 · nuke, 13 Nov →
344msFastest reaction time · 2–8 · inferno, 21 Sept →
13–1Biggest win · inferno, 29 Jan →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–5In matches decided by ≤2 rounds
18Overtime games

Map breakdown

overpassBest map · 78% over 9nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S2819–968%0.03
ancientA1810–856%0.02
infernoA138–562%-0.00
anubisB105–550%0.03
mirageB105–550%0.01
overpassS97–278%0.00
nukeC52–340%-0.02
train—33–0100%0.03
cache—22–0100%0.08
cache_b—20–20%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

376Matches
55%Win rate
1.26Avg K/D
76.1ADR
55%Headshot %

Clutches & streaks

33%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3053%1.0915.3
Ancient2467%1.0215.1
Inferno2273%1.2415.6
Dust22241%1.1115.3
Mirage714%0.9115.9
Overpass367%1.6116.7
Nuke20%0.588.5
Vertigo10%1.0015.0

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.

23.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.2%Spray accuracy
77.3%Counter-strafing
9.1°Preaim
523msReaction time
49.1%T opening success
55.4%CT opening success
0.66Enemies flashed / flash
5.6%Flash assists
6.41HE damage / grenade
16.12Flashes / match

Recommended for you

Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–8-0.0225%21 Sept →
ancient13–10-0.0216%21 Sept →
cache13–60.0631%21 Sept →
dust213–110.0131%21 Sept →
anubis13–100.1142%21 Sept →
anubis13–90.0421%8 Jul →
cache13–70.1025%8 Jul →
dust213–60.1429%12 Jun →
overpass13–30.0727%12 Jun →
anubis11–13-0.0410%12 Jun →
inferno13–11-0.0719%1 Jun →
dust213–10-0.0126%1 Jun →
ancient13–110.0119%15 May →
dust27–130.0819%15 May →
anubis15–150.0623%15 May →
dust216–140.0519%12 May →
dust213–80.0941%12 May →
overpass13–50.0122%26 Apr →
dust213–40.0510%26 Apr →
overpass16–120.0418%13 Apr →
overpass13–60.0242%13 Apr →
dust213–80.0930%14 Mar →
overpass9–13-0.0915%14 Mar →
inferno10–130.0520%14 Mar →
train13–110.0836%11 Mar →
dust213–16-0.0113%10 Mar →
mirage8–130.0327%10 Mar →
ancient6–13-0.0634%10 Mar →
mirage13–6-0.0620%7 Mar →
inferno13–110.0318%7 Mar →
dust27–130.0720%7 Mar →
mirage11–130.0515%6 Mar →
dust213–70.0426%6 Mar →
train13–7-0.0121%6 Mar →
inferno13–11-0.0217%17 Feb →
ancient13–80.0626%17 Feb →
mirage4–13-0.0316%17 Feb →
dust27–130.0338%17 Feb →
dust20–10-0.0210%15 Feb →
ancient10–13-0.0220%15 Feb →
anubis9–13-0.0132%15 Feb →
overpass13–4-0.0414%1 Feb →
ancient13–30.0024%1 Feb →
mirage13–3-0.0420%30 Jan →
dust213–110.0119%30 Jan →
anubis13–40.1020%30 Jan →
anubis10–130.0121%30 Jan →
nuke16–12-0.0227%30 Jan →
inferno13–10.0938%29 Jan →
inferno4–13-0.0519%29 Jan →
ancient9–13-0.0427%12 Jan →
dust213–60.0734%12 Jan →
train19–160.0026%9 Jan →
dust216–120.0621%9 Jan →
ancient13–90.0918%9 Jan →
inferno13–50.0033%6 Jan →
nuke9–13-0.0327%5 Jan →
ancient7–13-0.0123%5 Jan →
dust225–210.0526%4 Jan →
anubis5–13-0.0321%4 Jan →
mirage10–13-0.0016%13 Dec →
anubis13–60.0329%8 Dec →
ancient13–10-0.0619%8 Dec →
dust216–19-0.0615%8 Dec →
mirage6–13-0.0832%30 Nov →
dust213–30.0326%30 Nov →
ancient13–100.0822%30 Nov →
mirage13–100.0222%30 Nov →
cache_b12–16-0.0212%29 Nov →
cache_b14–160.0126%29 Nov →
inferno13–7-0.0032%28 Nov →
anubis19–17-0.0113%28 Nov →
dust29–13-0.0421%24 Nov →
nuke8–13-0.0021%17 Nov →
dust215–15-0.0226%17 Nov →
ancient9–130.0220%17 Nov →
overpass13–160.0012%13 Nov →
nuke13–7-0.0347%13 Nov →
ancient15–15-0.008%13 Nov →
nuke8–13-0.0227%2 Nov →
overpass13–11-0.0020%2 Nov →
inferno13–100.0116%23 Oct →
dust213–70.0122%23 Oct →
mirage13–110.1322%13 Oct →
ancient14–16-0.0011%13 Oct →
dust213–9-0.0222%13 Oct →
inferno9–13-0.0714%13 Oct →
ancient13–20.1730%13 Oct →
dust213–80.0421%13 Oct →
ancient13–110.0520%11 Oct →
mirage13–60.0418%11 Oct →
dust29–130.0430%11 Oct →
overpass13–90.0235%6 Oct →
inferno15–150.0018%6 Oct →
dust216–13-0.0118%22 Sept →
inferno13–80.0130%22 Sept →
dust213–30.0623%22 Sept →
ancient11–130.0225%22 Sept →
dust213–80.0428%15 Sept →
ancient13–40.0624%15 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →