oneyuke

oneyuke — CS2 Stats

GB76561198327287822[U:1:367022094]Steam profile ↗✓ No bans

2,134Tracked matches54%Win rate2022Tracked since
2,777Hours in CS26Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating25,518Top 10% of 210,832 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#17069 of 258125 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,518 -105 12 Aug – 25 Oct · 13 days played
24,53625,623peak 25,62312 Aug25 Oct
25,834Peak Premier in tracked matches
41Days played since 2026-08-05

Premier CS Rating

  • 105 below peak (25,623)
  • +519 over 30 days · improving
  • Next: Gold band at 30,000 — 4,482 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate60.4%48.2%50.9%above
Shot accuracy8.5%13.2%13.7%5.2% short
Kill/death ratio1.571.071.09above
Match win rate46.6%46.9%48.4%1.8% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGoneyukeFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,518 · Red 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

Aim86
Positioning68
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLWLTWWLWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +0.2pp headshot accuracy · +20ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

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 (+1.1 against its own average).

Aim8.6
Utility5.8
Positioning6.8
Opening Duels6.8
Clutch3.4

Sharp aimer

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

s1mple

Plays most like s1mple 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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 →

Strengths & areas to improve

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.6
Positioning6.8
Utility5.8
Mechanics6.5
Opening Duels8.4
Win Impact6.2

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time546ms−1ms
first ⅓ avg 548ms → last ⅓ avg 546ms
Headshot accuracy24.3%−0.8%
first ⅓ avg 25.1% → last ⅓ avg 24.3%

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

0.12Best match rating · 13–3 · ancient, 30 Aug →
50%Best headshot accuracy · 6–13 · vertigo, 19 Sept →
375msFastest reaction time · 16–14 · ancient, 20 Sept →
13–3Biggest win · cache, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
13–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 63% over 8dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB2614–1254%0.01
anubisB168–850%0.00
nukeB137–654%-0.00
mirageD134–931%0.00
dust2D91–811%-0.02
infernoA85–363%0.01
cacheC73–443%0.00
trainA53–260%-0.02
vertigo—20–20%0.00
shelter—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,408Lifetime kills
1.57K/D · Top 5% of Level 9 players
3,658Matches
46.6%Match win rate
60.4%Headshot % · Top 10% of Level 9 players
8.5%Shot accuracy
10,770MVPs
2,429Hours (in match)
1,903Bombs planted
1,786Bombs defused

Most-used weapons

AK-4733,846
AWP9,965
MP92,195
FAMAS1,939
P901,730

Lifetime map wins

6,404dust2
4,714inferno
2,787nuke
2,174vertigo
935train
242office
219cbble
153lake

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

Faceit stats

Combat

195Matches
55%Win rate
1.20Avg K/D
86.2ADR
53%Headshot %

Clutches & streaks

37%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3650%1.2217.2
Mirage3650%1.2217.9
Anubis3348%1.1716.6
Inferno2669%1.2619.0
Nuke2442%1.0215.2
Dust2650%1.2416.7
Vertigo667%1.3015.7
Cache367%1.5121.7

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.

24.1%Headshot accuracy
38.0%Accuracy (enemy spotted)
45.4%Spray accuracy
79.5%Counter-strafing
10.4°Preaim
538msReaction time
65.6%T opening success
62.0%CT opening success
0.66Enemies flashed / flash
8.5%Flash assists
8.55HE damage / grenade
9.89Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0224%25 Oct →
cache9–13-0.0314%25 Oct →
inferno13–50.0712%25 Oct →
dust28–13-0.0232%22 Oct →
cache12–120.0010%22 Oct →
cache13–80.0124%22 Oct →
cache13–110.0125%21 Oct →
ancient14–160.0725%16 Oct →
cache13–30.0936%16 Oct →
nuke13–60.0228%14 Oct →
ancient7–13-0.0229%14 Oct →
anubis7–13-0.0429%11 Oct →
ancient13–70.0429%9 Oct →
dust211–13-0.0415%7 Oct →
train7–13-0.0916%7 Oct →
train3–13-0.0927%7 Oct →
train13–40.0026%7 Oct →
mirage11–13-0.0928%3 Oct →
inferno13–11-0.0114%23 Sept →
nuke13–110.0116%23 Sept →
ancient12–12-0.0224%22 Sept →
inferno19–150.0224%22 Sept →
ancient13–11-0.0223%20 Sept →
ancient16–14-0.0219%20 Sept →
dust22–13-0.0124%19 Sept →
vertigo6–130.0250%19 Sept →
train13–110.0234%19 Sept →
ancient9–130.0816%19 Sept →
nuke13–110.1029%16 Sept →
anubis13–80.0733%16 Sept →
anubis13–100.0618%16 Sept →
shelter13–60.0923%15 Sept →
inferno9–13-0.0228%15 Sept →
dust212–12-0.0015%15 Sept →
cache12–120.0029%15 Sept →
ancient8–70.0224%15 Sept →
nuke9–130.0127%14 Sept →
ancient2–130.0423%14 Sept →
anubis12–120.0524%13 Sept →
vertigo11–13-0.0124%13 Sept →
ancient4–13-0.0730%12 Sept →
mirage8–130.0236%10 Sept →
ancient4–13-0.0728%10 Sept →
nuke13–4-0.0122%7 Sept →
anubis14–16-0.0316%7 Sept →
nuke13–110.0324%7 Sept →
anubis16–12-0.0323%3 Sept →
inferno13–90.0831%3 Sept →
ancient13–8-0.0136%3 Sept →
nuke6–13-0.0530%2 Sept →
ancient11–130.0226%2 Sept →
anubis9–130.0129%2 Sept →
dust213–11-0.0323%2 Sept →
cache4–13-0.0722%31 Aug →
anubis0–13-0.0650%31 Aug →
nuke1–130.0034%30 Aug →
ancient13–30.1211%30 Aug →
mirage16–130.0034%30 Aug →
ancient13–90.0427%30 Aug →
anubis13–60.0711%30 Aug →
mirage6–13-0.0317%29 Aug →
anubis3–13-0.0931%28 Aug →
mirage6–13-0.038%27 Aug →
inferno8–13-0.0222%26 Aug →
nuke13–60.0128%26 Aug →
anubis13–100.0024%26 Aug →
inferno13–110.0330%25 Aug →
anubis13–8-0.0421%25 Aug →
ancient13–50.0536%25 Aug →
ancient13–70.0837%24 Aug →
inferno3–13-0.0526%24 Aug →
nuke5–13-0.0735%24 Aug →
mirage9–13-0.0117%22 Aug →
mirage13–10-0.0320%22 Aug →
mirage13–70.1027%22 Aug →
ancient4–13-0.0241%22 Aug →
anubis11–13-0.0321%22 Aug →
nuke9–13-0.0227%21 Aug →
anubis10–13-0.0222%21 Aug →
mirage13–80.0647%21 Aug →
dust25–13-0.0313%20 Aug →
ancient16–120.0224%20 Aug →
mirage8–130.0024%20 Aug →
anubis16–130.0524%20 Aug →
dust21–13-0.0238%19 Aug →
dust26–13-0.0526%19 Aug →
mirage7–130.0315%18 Aug →
train13–110.0731%16 Aug →
ancient3–130.0021%12 Aug →
mirage3–130.0122%12 Aug →
ancient3–13-0.0012%12 Aug →
mirage11–130.0426%11 Aug →
nuke8–13-0.0623%11 Aug →
ancient9–130.0120%11 Aug →
ancient13–7-0.0027%10 Aug →
ancient13–50.0117%10 Aug →
nuke13–100.0227%6 Aug →
ancient13–11-0.0514%6 Aug →
anubis13–60.0517%6 Aug →
ancient13–100.0032%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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