notgoodokle

notgoodokle — CS2 Stats

PL76561198129368691[U:1:169102963]Steam profile ↗✓ No bans

395Tracked matches59%Win rate2022Tracked since
1,470Hours in CS10Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 6 · 1,189 ELOTop 54.0% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,510 +3,635 28 Feb – 26 Sept · 35 days played
9,87513,603peak 13,60328 Feb26 Sept
13,603Peak Premier in tracked matches
1,189Highest Faceit ELO seen on CSDB
59Days played since 2024-02-28

Faceit ELO

  • At peak — 1,189
  • Next: Level 6 at 1,201 — 12 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.3%44.8%45.7%1.4% short
Shot accuracy15.5%12.4%12.7%above
Kill/death ratio1.151.031.05above
Match win rate45.1%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGnotgoodokleFACEITLevel 6 · 1,189 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,189csdb.gg/stats

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Performance scores

Aim74
Positioning58
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLWWWLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +0.3pp headshot accuracy · −66ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 611ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 612ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 645ms

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 (+1.6 against its own average).

Aim7.4
Utility1.2
Positioning5.8
Opening Duels4.1
Clutch5.8

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

donk

Plays most like donk 80% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 637ms 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

Aim7.4
Positioning5.8
Utility1.2
Mechanics7.4
Opening Duels3.0
Win Impact7.9

Composite 5.2/10 (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 rating0.01−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time644ms+62ms
first ⅓ avg 582ms → last ⅓ avg 644ms
Headshot accuracy27.6%+1.6%
first ⅓ avg 26.0% → last ⅓ avg 27.6%

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

0.16Best match rating · 11–13 · vertigo, 2 Mar →
47%Best headshot accuracy · 13–4 · mirage, 9 Feb →
406msFastest reaction time · 13–11 · vertigo, 13 Mar →
13–1Biggest win · nuke, 20 Mar →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 64% over 11mirageWeakest map · 46% over 35
MapGradePlayedRecordWin rateAvg rating
mirageB3516–1946%0.00
nukeB168–850%0.02
vertigoA148–657%0.03
anubisB136–746%0.03
ancientA117–464%0.03
dust2—41–325%-0.01
overpass—43–175%0.04
inferno—21–150%-0.01
mills—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 35). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,095Lifetime kills
1.15K/D · Top 50% of Level 6 players
1,576Matches
45.1%Match win rate
44.3%Headshot %
15.5%Shot accuracy · Top 50% of Level 6 players
4,126MVPs
583Hours (in match)
976Bombs planted
536Bombs defused

Most-used weapons

AK-4711,314
AWP5,431
P901,104
Knife550
MP9544

Lifetime map wins

1,598nuke
1,409dust2
1,343vertigo
935inferno
311cbble
90train
66office
23lake

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

Faceit stats

Combat

180Matches
46%Win rate
1.02Avg K/D
71.8ADR
53%Headshot %

Clutches & streaks

49%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4738%0.9013.9
Ancient2955%1.1517.2
Anubis2744%1.0815.3
Vertigo2045%0.9515.2
Dust22040%1.3413.8
Inferno1040%0.7616.2
Nuke850%1.1618.5
Cache1100%0.4816.0

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.

27.0%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.2%Spray accuracy
83.3%Counter-strafing
9.4°Preaim
637msReaction time
35.4%T opening success
49.0%CT opening success
0.51Enemies flashed / flash
4.7%Flash assists
5.66HE damage / grenade
3.32Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3178 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 35.3788% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0229%22 Mar →
nuke13–7-0.0223%10 Feb →
mirage13–60.0531%28 Sept →
anubis13–7-0.0121%23 May →
mirage11–13-0.0437%5 May →
mirage8–13-0.0429%16 Apr →
nuke13–8-0.0730%16 Apr →
nuke9–13-0.0533%24 Mar →
anubis7–130.0224%20 Mar →
ancient13–110.0114%20 Mar →
mirage13–9-0.0122%19 Mar →
ancient13–50.0718%11 Mar →
anubis13–160.0116%10 Feb →
ancient12–120.0423%9 Feb →
mirage13–4-0.0447%9 Feb →
mirage13–6-0.0117%9 Feb →
ancient13–70.0138%26 Sept →
dust29–130.0133%23 Sept →
nuke13–6-0.0529%27 Aug →
mirage16–140.0424%25 Aug →
mirage13–70.0132%15 Aug →
nuke7–90.0543%14 Aug →
nuke9–40.1424%14 Aug →
mirage9–130.0335%23 Jul →
vertigo4–130.0024%23 Jul →
mirage13–9-0.0227%23 Jul →
mirage13–80.1335%22 Jul →
mills13–90.0028%21 Jul →
dust213–110.0229%21 Jul →
nuke3–13-0.0432%21 Jul →
inferno14–160.0118%21 Jul →
mirage5–100.0621%18 Jun →
dust24–12-0.0625%2 May →
mirage10–13-0.0526%1 May →
dust25–13-0.0228%30 Apr →
mirage1–8-0.0146%27 Apr →
vertigo13–30.0739%24 Apr →
anubis0–13-0.0019%20 Apr →
anubis13–40.0319%19 Apr →
mirage5–130.0129%17 Apr →
vertigo5–130.0537%16 Apr →
inferno25–22-0.0228%16 Apr →
ancient13–30.0629%15 Apr →
mirage13–9-0.0834%15 Apr →
mirage9–13-0.0435%14 Apr →
mirage13–60.0821%13 Apr →
nuke5–13-0.0635%13 Apr →
ancient11–130.0014%13 Apr →
anubis13–4-0.0024%13 Apr →
vertigo11–13-0.0623%12 Apr →
mirage13–80.0726%11 Apr →
overpass10–13-0.1319%11 Apr →
vertigo12–10.0531%10 Apr →
anubis1–13-0.0831%10 Apr →
mirage12–120.0124%9 Apr →
mirage11–130.0320%4 Apr →
vertigo13–60.0514%4 Apr →
mirage4–13-0.0622%2 Apr →
vertigo13–100.0036%1 Apr →
ancient10–13-0.0616%31 Mar →
mirage2–10-0.0425%24 Mar →
vertigo13–70.0141%24 Mar →
mirage13–50.1024%24 Mar →
anubis11–13-0.0118%24 Mar →
nuke4–13-0.1319%24 Mar →
ancient9–00.0714%24 Mar →
mirage5–13-0.0119%24 Mar →
overpass13–70.1031%21 Mar →
overpass13–60.0916%21 Mar →
nuke2–100.0135%21 Mar →
mirage13–8-0.0719%21 Mar →
mirage6–13-0.0319%20 Mar →
vertigo13–3-0.0225%20 Mar →
mirage9–13-0.0633%20 Mar →
nuke13–10.0832%20 Mar →
nuke3–130.0339%20 Mar →
anubis9–130.0523%19 Mar →
mirage16–13-0.0523%19 Mar →
anubis13–100.0932%18 Mar →
nuke13–90.1433%18 Mar →
nuke13–30.1522%17 Mar →
vertigo13–110.0732%17 Mar →
anubis13–40.1627%17 Mar →
mirage4–13-0.0024%17 Mar →
ancient13–40.0714%14 Mar →
nuke9–130.0223%14 Mar →
anubis9–13-0.0227%13 Mar →
vertigo13–110.0247%13 Mar →
ancient4–130.0124%13 Mar →
mirage13–6-0.0024%13 Mar →
vertigo14–160.0323%12 Mar →
mirage10–130.0440%11 Mar →
anubis13–90.1318%9 Mar →
mirage13–110.0822%7 Mar →
ancient13–50.0230%3 Mar →
vertigo11–130.1625%2 Mar →
overpass13–90.0825%1 Mar →
nuke6–30.048%29 Feb →
mirage12–120.0225%29 Feb →
vertigo10–130.0222%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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