nofolyX

nofolyX — CS2 Stats

76561198137497451[U:1:177231723]Steam profile ↗✓ No bans

876Tracked matches62%Win rate2023Tracked since
3,030Hours in CS3Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating5,112Light Blue band · top ~78.3% of ranked players (population est.)
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 876 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. 31 days played since 15 May 2026. 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: 5,112 +1,034 5 Jul23 Sept · 10 days played
3,6775,289peak 5,2895 Jul23 Sept
5,443Peak Premier in tracked matches
31Days played since 2026-05-15

Premier CS Rating

  • 177 below peak (5,289)
  • +1,034 over 90 days
  • Next: Blue band at 10,000 4,888 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.6%39.9%41.9%above
Shot accuracy11.4%6.9%9.6%above
Kill/death ratio1.260.920.98above
Match win rate33.5%42.3%43.8%10.3% short

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

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

Share this profile

CSDB.GGnofolyXPREMIER5,112 · Light Blue bandcsdb.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

Aim55
Positioning48
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY54388Last 10054%Win rateWLWLWWLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −5ms reaction

Win rate −10pp 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 702ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 640ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 643ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim5.5
Utility4.2
Positioning4.8
Opening Duels3.8
Clutch0.0

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 630ms 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

Aim5.5
Positioning4.8
Utility4.2
Mechanics5.0
Opening Duels3.4
Win Impact9.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time635ms−33ms
first ⅓ avg 668ms → last ⅓ avg 635ms
Headshot accuracy14.7%−1.0%
first ⅓ avg 15.7% → last ⅓ avg 14.7%

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.

Personal bests

0.20Best match rating · 4–0 · anubis, 23 Jul
33%Best headshot accuracy · 13–6 · nuke, 19 Sept
484msFastest reaction time · 13–2 · cache, 24 Aug
13–0Biggest win · inferno, 13 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
66In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 88% over 8ancientWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
anubisC1771041%0.00
cacheB158753%0.02
ancientC156940%0.00
mirageB115645%-0.01
infernoA117464%0.01
dust2A95456%-0.00
vertigoS86275%0.02
nukeS87188%0.01
shelter21150%-0.01
overpass220100%0.00
office1010%-0.04
train1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,621Lifetime kills
1.26K/D · Top 10% of Light Blue band
3,162Matches
33.5%Match win rate
43.6%Headshot % · Top 50% of Light Blue band
11.4%Shot accuracy · Top 50% of Light Blue band
4,439MVPs
1,444Hours (in match)
1,478Bombs planted
505Bombs defused

Most-used weapons

Lifetime map wins

8,187dust2
3,067inferno
1,079vertigo
987nuke
429train
223office
119cbble
53safehouse

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

Faceit stats

Combat

4Matches
50%Win rate
0.69Avg K/D
60.6ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.244.0
Dust21100%0.9313.0
Mirage10%0.448.0

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.

15.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.2%Spray accuracy
72.6%Counter-strafing
10.5°Preaim
630msReaction time
39.9%T opening success
47.0%CT opening success
0.58Enemies flashed / flash
7.1%Flash assists
5.91HE damage / grenade
4.70Flashes / 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. 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 39.8608% — below the 40% mark we flag

Spend your practice time on Ancient

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 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo13–50.0418%23 Sept
shelter7–13-0.0111%20 Sept
shelter13–7-0.0113%19 Sept
office8–13-0.0425%19 Sept
nuke13–6-0.0233%19 Sept
mirage13–50.0214%5 Sept
cache9–130.0320%5 Sept
inferno13–80.039%5 Sept
anubis13–7-0.087%4 Sept
vertigo11–130.0716%4 Sept
cache8–13-0.0113%4 Sept
anubis3–13-0.0513%28 Aug
cache13–30.1522%28 Aug
vertigo13–11-0.0416%24 Aug
cache13–20.0530%24 Aug
anubis13–6-0.0418%19 Aug
dust213–11-0.0119%19 Aug
mirage13–1-0.0313%19 Aug
dust213–100.0616%16 Aug
cache7–130.0410%16 Aug
ancient7–13-0.026%14 Aug
ancient15–150.0111%13 Aug
ancient10–13-0.0213%13 Aug
inferno13–6-0.0111%13 Aug
inferno13–00.1421%13 Aug
dust213–50.0816%13 Aug
anubis8–13-0.048%12 Aug
ancient10–13-0.025%12 Aug
inferno13–70.1019%12 Aug
mirage13–50.0214%11 Aug
nuke13–40.019%11 Aug
ancient8–13-0.0210%11 Aug
ancient13–90.055%11 Aug
anubis13–9-0.058%11 Aug
mirage13–1-0.019%11 Aug
overpass13–10-0.0319%10 Aug
train12–12-0.0414%9 Aug
nuke12–12-0.0432%9 Aug
vertigo13–11-0.0115%9 Aug
dust212–12-0.013%9 Aug
inferno9–13-0.0213%9 Aug
cache13–60.0016%9 Aug
mirage11–13-0.0511%9 Aug
anubis14–16-0.0020%9 Aug
ancient12–12-0.0117%9 Aug
anubis4–13-0.0414%7 Aug
inferno13–4-0.0412%7 Aug
cache13–60.0312%7 Aug
mirage9–130.0212%7 Aug
vertigo13–80.029%5 Aug
overpass13–50.0311%5 Aug
dust213–2-0.020%5 Aug
cache13–9-0.035%5 Aug
anubis13–110.108%5 Aug
ancient13–70.069%5 Aug
anubis7–130.0013%5 Aug
inferno16–14-0.0013%5 Aug
cache5–13-0.0220%4 Aug
nuke13–80.0226%4 Aug
nuke13–9-0.048%4 Aug
nuke10–50.0723%4 Aug
dust213–80.0115%4 Aug
dust23–130.0217%4 Aug
mirage13–10.0820%2 Aug
cache13–60.0013%2 Aug
anubis13–40.0524%1 Aug
dust24–13-0.0911%1 Aug
cache13–80.0216%1 Aug
anubis14–16-0.0117%1 Aug
ancient13–100.0314%1 Aug
vertigo13–11-0.0119%1 Aug
ancient13–6-0.037%23 Jul
anubis13–70.0515%23 Jul
anubis4–00.2027%23 Jul
ancient13–100.0124%19 Jul
ancient3–13-0.0315%18 Jul
anubis8–130.0117%18 Jul
inferno11–130.0114%18 Jul
mirage12–120.0120%13 Jul
ancient13–6-0.0316%13 Jul
vertigo13–30.1012%13 Jul
cache12–120.0617%13 Jul
mirage9–13-0.0225%13 Jul
inferno13–90.0718%13 Jul
anubis12–12-0.0013%12 Jul
mirage11–13-0.066%12 Jul
anubis7–13-0.0122%10 Jul
inferno8–13-0.068%10 Jul
cache13–30.0326%8 Jul
ancient9–13-0.0216%5 Jul
nuke13–5-0.008%5 Jul
nuke13–100.068%5 Jul
inferno4–13-0.0618%5 Jul
ancient9–130.0617%5 Jul
vertigo9–130.0315%1 Jul
cache7–13-0.056%1 Jul
anubis3–13-0.0313%28 Jun
mirage4–13-0.0423%28 Jun
cache10–130.0113%28 Jun
dust26–13-0.0813%15 May

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 →