NoLefs

NoLefs — CS2 Stats

EE76561198162712017[U:1:202446289]Steam profile ↗✓ No bans

812Tracked matches52%Win rate2022Tracked since
1,220Hours in CS7Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Premier CS Rating9,003Light Blue band · top ~59.7% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

−364Premier CS Rating · 9,367 → 9,003

Rating over time

Premier CS Rating: 9,367 -2,449 17 Aug – 9 Oct · 25 days played
6,22711,824peak 11,82417 Aug9 Oct
12,140Peak Premier in tracked matches
35Days played since 2026-08-17

Premier CS Rating

  • 2,821 below peak (11,824)
  • +1,800 over 30 days · improving
  • Next: Blue band at 10,000 — 997 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-20

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches117——
Win rate48%——
K/D0.73——
Headshot %41%——

Measured 20 Sep 2026 → 21 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate37.7%39.9%42.0%4.3% short
Shot accuracy6.5%7.0%9.6%3.1% short
Kill/death ratio0.950.920.980.03 short
Match win rate38.8%42.3%43.8%5.0% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGNoLefsPREMIER9,003 · 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

Aim33
Positioning34
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLWLWWTWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −5.4pp headshot accuracy · +88ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 591ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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 (+2.2 against its own average).

Aim3.3
Utility1.4
Positioning3.4
Opening Duels0.0
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

iM

Plays most like iM 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Counter-strafing. Only 57% 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

Aim3.3
Positioning3.4
Utility1.4
Mechanics1.6
Opening Duels0.0
Win Impact5.6

Composite 2.4/10 (Learning), 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 rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time530ms−48ms
first ⅓ avg 578ms → last ⅓ avg 530ms
Headshot accuracy13.8%+3.6%
first ⅓ avg 10.3% → last ⅓ avg 13.8%

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

0.18Best match rating · 9–2 · nuke, 13 Sept →
40%Best headshot accuracy · 0–7 · mirage, 1 Oct →
313msFastest reaction time · 1–13 · nuke, 1 Oct →
13–0Biggest win · inferno, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 54% over 26cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%-0.05
nukeC166–1038%-0.02
dust2B147–750%-0.03
infernoB136–746%-0.03
anubisC73–443%-0.03
ancientD72–529%-0.03
cacheD61–517%-0.03
vertigo—32–167%-0.02
train—32–167%-0.01
overpass—20–20%-0.06
office—21–150%-0.07
poseidon—10–10%-0.08

Across the last 100 tracked matches.

Lifetime stats

41,315Lifetime kills
0.95K/D · Top 50% of Light Blue band
3,180Matches
38.8%Match win rate
37.7%Headshot %
6.5%Shot accuracy
8,782MVPs
647Hours (in match)
2,522Bombs planted
420Bombs defused

Most-used weapons

Lifetime map wins

5,746nuke
4,862inferno
1,245dust2
878vertigo
324lake
244office
229train
137italy

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

Faceit stats

Combat

3Matches
33%Win rate
0.55Avg K/D
63.5ADR
18%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.0016.0
Inferno10%0.569.0
Cache10%0.081.0

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.

13.7%Headshot accuracy
25.7%Accuracy (enemy spotted)
25.1%Spray accuracy
57.1%Counter-strafing
8.6°Preaim
526msReaction time
21.6%T opening success
20.4%CT opening success
0.29Enemies flashed / flash
0.5%Flash assists
1.91HE damage / grenade
4.15Flashes / 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 13.7336% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2911 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.5501% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke7–9-0.0613%11 Oct →
inferno9–7-0.0711%11 Oct →
poseidon7–9-0.0815%10 Oct →
vertigo9–30.0016%10 Oct →
nuke9–30.0310%9 Oct →
mirage12–12-0.0216%9 Oct →
mirage13–2-0.009%9 Oct →
cache6–13-0.090%5 Oct →
mirage6–13-0.0918%5 Oct →
dust24–13-0.0219%5 Oct →
mirage13–5-0.0538%4 Oct →
dust25–13-0.068%2 Oct →
inferno13–3-0.0613%2 Oct →
inferno9–13-0.0511%1 Oct →
nuke1–13-0.0730%1 Oct →
mirage0–7-0.0440%1 Oct →
mirage4–13-0.086%30 Sept →
cache2–13-0.0812%30 Sept →
mirage16–13-0.0511%30 Sept →
dust213–6-0.0213%30 Sept →
anubis13–10.0710%30 Sept →
mirage13–10-0.058%30 Sept →
dust213–3-0.017%30 Sept →
dust213–7-0.0416%30 Sept →
nuke9–10.188%30 Sept →
ancient3–90.0124%30 Sept →
inferno9–5-0.010%30 Sept →
dust26–130.0214%29 Sept →
ancient13–3-0.0216%29 Sept →
ancient2–13-0.075%29 Sept →
vertigo13–11-0.0726%29 Sept →
inferno13–0-0.014%29 Sept →
mirage13–3-0.039%29 Sept →
nuke8–8-0.078%29 Sept →
anubis3–13-0.0314%28 Sept →
mirage13–4-0.0312%28 Sept →
dust22–13-0.0514%28 Sept →
dust213–11-0.036%27 Sept →
cache8–13-0.0514%27 Sept →
mirage5–13-0.0711%27 Sept →
nuke13–7-0.064%26 Sept →
inferno4–9-0.0416%25 Sept →
overpass10–13-0.0612%23 Sept →
dust213–11-0.056%23 Sept →
office9–13-0.1216%23 Sept →
mirage13–11-0.0510%23 Sept →
mirage13–2-0.045%23 Sept →
dust26–13-0.0214%23 Sept →
mirage13–10-0.056%22 Sept →
inferno8–8-0.078%22 Sept →
inferno9–20.1027%22 Sept →
inferno8–8-0.0522%22 Sept →
mirage13–5-0.0813%21 Sept →
anubis13–0-0.0429%21 Sept →
nuke11–13-0.055%21 Sept →
train13–00.0411%21 Sept →
nuke9–5-0.086%21 Sept →
nuke14–16-0.0916%20 Sept →
mirage7–13-0.0811%20 Sept →
mirage13–9-0.018%18 Sept →
ancient13–100.040%17 Sept →
nuke12–12-0.079%17 Sept →
train13–10-0.1010%17 Sept →
mirage13–10-0.0533%16 Sept →
office13–5-0.024%16 Sept →
inferno9–40.068%16 Sept →
cache16–12-0.006%16 Sept →
mirage13–10-0.097%16 Sept →
anubis12–12-0.0612%15 Sept →
cache7–130.0716%15 Sept →
overpass11–13-0.056%14 Sept →
train9–130.026%14 Sept →
ancient5–13-0.0311%14 Sept →
inferno7–13-0.106%14 Sept →
anubis13–16-0.058%14 Sept →
mirage2–13-0.059%14 Sept →
inferno4–13-0.066%14 Sept →
vertigo12–12-0.0013%14 Sept →
nuke5–13-0.068%14 Sept →
mirage6–130.0111%13 Sept →
nuke9–20.184%13 Sept →
ancient3–13-0.025%8 Sept →
mirage9–130.037%31 Aug →
dust210–13-0.1013%30 Aug →
cache8–13-0.0324%30 Aug →
dust27–13-0.0711%28 Aug →
ancient3–13-0.0910%26 Aug →
dust213–20.057%26 Aug →
nuke8–80.0914%25 Aug →
mirage13–5-0.1316%25 Aug →
anubis5–130.017%24 Aug →
anubis13–10-0.0816%23 Aug →
nuke13–10-0.0713%23 Aug →
mirage2–13-0.179%21 Aug →
mirage11–13-0.0014%21 Aug →
dust213–1-0.0010%21 Aug →
nuke8–13-0.036%21 Aug →
inferno11–13-0.0511%19 Aug →
nuke7–90.0114%18 Aug →
mirage14–16-0.078%17 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.