KokoNaughts

KokoNaughts — CS2 Stats

US76561198349482514[U:1:389216786]Steam profile ↗✓ No bans

651Tracked matches57%Win rate2020Tracked since
576Hours in CS
CSDB Rating4.2 DevelopingSupport
Premier CS Rating19,061Top 50% of 192,959 CSDB-tracked playersPurple band · top ~12.2% of ranked players (population est.)
CSDB Leaderboard#91019 of 239675 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,061 → 19,061
+3Tracked matches · now 651
0.0ppWin rate · 57.1% → 57.1%
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. 34 days played since 6 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 19,061 +0 27 Aug5 Sept · 2 days played
19,06119,061peak 19,06127 Aug5 Sept
19,161Peak Premier in tracked matches
34Days played since 2026-07-06

Premier CS Rating

  • At peak — 19,061
  • Next: Pink band at 20,000 939 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.0%44.3%46.9%5.0% short
Shot accuracy11.2%11.8%13.0%1.8% short
Kill/death ratio1.041.031.080.04 short
Match win rate43.8%45.2%46.7%2.9% short

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

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

Share this profile

CSDB.GGKokoNaughtsPREMIER19,061 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning34
Utility43

0–100 skill scores via Leetify.

Recent form

COLD444511Last 10044%Win rateWLTLWLLLWL

Last 10 vs previous 10: −60pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −63ms reaction

Win rate down 60pp 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

  • 221 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 610ms

Last 20

  • 1271 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 641ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim5.1
Utility4.3
Positioning3.4
Opening Duels0.0

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 85% 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

T-side openings. Opening success drops from 30% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.1
Positioning3.4
Utility4.3
Mechanics3.7
Opening Duels0.0
Win Impact7.4

Composite 4.2/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time640ms−27ms
first ⅓ avg 667ms → last ⅓ avg 640ms
Headshot accuracy16.2%−0.4%
first ⅓ avg 16.6% → last ⅓ avg 16.2%

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

0.11Best match rating · 13–4 · cache, 6 Aug
36%Best headshot accuracy · 13–11 · inferno, 23 Jul
477msFastest reaction time · 9–13 · ancient, 16 Jul
13–0Biggest win · dust2, 9 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
91In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 67% over 9vertigoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeD1651131%-0.03
mirageA169756%-0.01
infernoB147750%0.00
cacheC125742%0.02
ancientS96367%-0.01
vertigoD82625%-0.04
dust2C73443%-0.01
anubisD62433%-0.01
train3030%-0.02
overpass3030%-0.04
office330100%-0.01
shelter1010%0.07
fachwerk110100%-0.01
stronghold110100%0.05

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,403Lifetime kills
1.04K/D · Top 50% of Purple band
1,449Matches
43.8%Match win rate
42.0%Headshot %
11.2%Shot accuracy
2,389MVPs
576Hours (in match)
1,592Bombs planted
279Bombs defused

Most-used weapons

Lifetime map wins

3,098nuke
2,060dust2
1,291vertigo
979inferno
298train
105office
2italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.7%Spray accuracy
66.6%Counter-strafing
10.4°Preaim
635msReaction time
14.1%T opening success
29.7%CT opening success
0.45Enemies flashed / flash
3.2%Flash assists
10.81HE damage / grenade
3.83Flashes / 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

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

    Enemies flashed per flash 0.4511 — below the 0.5 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 14.1196% — below the 40% mark we flag

Spend your practice time on Vertigo

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–110.0017%11 Sept
dust23–13-0.1015%10 Sept
nuke12–120.0622%10 Sept
anubis7–13-0.0121%31 Aug
nuke13–11-0.044%31 Aug
nuke7–13-0.0220%31 Aug
nuke7–13-0.0321%31 Aug
inferno5–130.0319%31 Aug
nuke12–12-0.0418%31 Aug
nuke5–13-0.0715%27 Aug
cache13–100.0526%27 Aug
mirage13–7-0.036%27 Aug
ancient16–12-0.0717%27 Aug
mirage13–100.0615%27 Aug
vertigo13–90.0212%25 Aug
dust28–13-0.0420%25 Aug
mirage13–8-0.0231%25 Aug
dust213–00.0819%9 Aug
cache13–11-0.0124%9 Aug
dust213–8-0.0114%9 Aug
mirage13–30.0317%8 Aug
inferno9–60.0122%8 Aug
inferno8–80.0115%8 Aug
train7–130.0023%7 Aug
overpass5–13-0.1213%6 Aug
office7–1-0.007%6 Aug
ancient8–13-0.016%6 Aug
cache13–40.1112%6 Aug
inferno12–120.0218%5 Aug
inferno13–5-0.070%4 Aug
mirage5–13-0.0217%4 Aug
vertigo5–130.0413%3 Aug
nuke13–90.0114%3 Aug
vertigo10–13-0.0221%3 Aug
vertigo12–12-0.0614%31 Jul
mirage13–4-0.0012%31 Jul
vertigo12–12-0.1112%30 Jul
nuke7–13-0.067%29 Jul
inferno6–13-0.0518%29 Jul
anubis6–13-0.0211%29 Jul
ancient13–30.0621%29 Jul
mirage13–9-0.029%29 Jul
dust212–12-0.0518%29 Jul
mirage1–13-0.0113%29 Jul
mirage4–130.0317%29 Jul
inferno12–120.1123%28 Jul
mirage13–6-0.0233%28 Jul
cache13–100.059%28 Jul
cache8–130.0321%28 Jul
ancient13–4-0.067%28 Jul
mirage9–13-0.087%27 Jul
mirage13–100.0915%24 Jul
nuke4–13-0.0814%23 Jul
mirage0–13-0.125%23 Jul
anubis13–100.0414%23 Jul
inferno13–11-0.0136%23 Jul
train12–120.013%21 Jul
vertigo6–13-0.0912%21 Jul
inferno7–13-0.0613%20 Jul
vertigo13–10-0.079%20 Jul
nuke9–13-0.059%20 Jul
overpass2–13-0.0727%20 Jul
train6–13-0.0523%20 Jul
inferno6–10.048%20 Jul
anubis3–13-0.0910%20 Jul
ancient1–8-0.018%19 Jul
inferno13–11-0.0619%19 Jul
inferno7–130.0026%19 Jul
inferno13–70.019%18 Jul
nuke3–13-0.0330%18 Jul
ancient13–9-0.083%17 Jul
nuke13–4-0.0416%17 Jul
dust213–10.1019%17 Jul
ancient9–130.059%16 Jul
cache4–13-0.0211%15 Jul
inferno13–90.0215%14 Jul
ancient13–90.0417%13 Jul
nuke13–30.0613%13 Jul
cache11–130.0113%13 Jul
cache2–130.0213%13 Jul
anubis13–11-0.0315%13 Jul
dust22–13-0.0513%13 Jul
cache4–13-0.0223%12 Jul
shelter12–120.079%12 Jul
nuke12–12-0.0216%12 Jul
mirage13–110.0219%12 Jul
nuke1–13-0.074%12 Jul
mirage4–13-0.0317%12 Jul
vertigo6–13-0.0330%11 Jul
anubis4–130.0315%11 Jul
mirage4–13-0.0911%11 Jul
cache7–13-0.0325%11 Jul
office13–10-0.0420%10 Jul
cache13–80.0121%10 Jul
office13–110.0214%10 Jul
fachwerk13–9-0.0129%10 Jul
nuke12–120.0019%9 Jul
cache5–130.0313%9 Jul
overpass10–130.0716%8 Jul
stronghold13–50.0523%6 Jul

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 →