NoOne

NoOne — CS2 Stats

BR76561198253062277[U:1:292796549]Steam profile ↗✓ No bans

902Tracked matches59%Win rate2025Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating10,435Blue band · top ~52.6% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Jul 2026 (112 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: 10,435 +322 13 Jun – 15 Jul · 10 days played
6,69810,435peak 10,43513 Jun15 Jul
10,435Peak Premier in tracked matches
25Days played since 2026-06-13

Premier CS Rating

  • At peak — 10,435
  • +322 over 30 days · steady
  • Next: Purple band at 15,000 — 4,565 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGNoOnePREMIER10,435 · Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning44
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWTLLWWWWT

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −2.0pp headshot accuracy · +12ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 716ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 709ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim3.6
Utility6.9
Positioning4.4
Opening Duels0.0

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 55% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 679ms 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

Aim3.6
Positioning4.4
Utility6.9
Mechanics5.6
Opening Duels1.6
Win Impact8.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time691ms−64ms
first ⅓ avg 755ms → last ⅓ avg 691ms
Headshot accuracy16.5%+0.0%
first ⅓ avg 16.4% → last ⅓ avg 16.5%

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

0.10Best match rating · 10–0 · anubis, 13 Jul →
50%Best headshot accuracy · 2–13 · inferno, 14 Jul →
469msFastest reaction time · 9–13 · ancient, 3 Oct →
13–2Biggest win · inferno, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 12trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD164–1225%-0.03
dust2B168–850%-0.02
ancientB147–750%0.00
nukeD143–1121%-0.03
cacheS128–467%0.00
mirageB105–550%-0.02
anubisA85–363%0.01
trainD61–517%-0.02
overpass—43–175%-0.02

Across the last 100 tracked matches.

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
30.9%Accuracy (enemy spotted)
31.8%Spray accuracy
75.1%Counter-strafing
12.6°Preaim
679msReaction time
42.7%T opening success
28.4%CT opening success
0.65Enemies flashed / flash
5.9%Flash assists
6.37HE damage / grenade
18.64Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5976° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Train

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.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.018%31 Oct →
ancient13–9-0.0418%31 Oct →
cache12–12-0.0911%31 Oct →
train8–13-0.0714%25 Oct →
ancient9–13-0.0919%25 Oct →
inferno13–20.017%18 Oct →
dust213–50.0424%18 Oct →
mirage5–2-0.060%17 Oct →
overpass13–5-0.0819%10 Oct →
train12–12-0.0313%10 Oct →
inferno13–11-0.0015%10 Oct →
dust26–13-0.0730%10 Oct →
mirage13–110.0114%10 Oct →
inferno12–120.0215%5 Oct →
inferno10–13-0.0620%4 Oct →
mirage9–13-0.098%4 Oct →
ancient13–10-0.0413%4 Oct →
train11–13-0.068%4 Oct →
dust213–6-0.0520%3 Oct →
cache11–13-0.0410%3 Oct →
ancient9–13-0.0212%3 Oct →
inferno8–13-0.0133%3 Oct →
cache13–80.0224%2 Oct →
train13–60.028%2 Oct →
anubis13–11-0.0225%2 Oct →
cache13–10-0.0526%15 Jul →
mirage22–20-0.0414%14 Jul →
inferno2–13-0.0350%14 Jul →
dust28–13-0.095%13 Jul →
anubis10–00.1015%13 Jul →
ancient13–100.0118%13 Jul →
cache13–70.0211%13 Jul →
dust213–11-0.0516%12 Jul →
cache13–110.0017%12 Jul →
nuke7–130.0420%12 Jul →
dust29–130.0018%12 Jul →
nuke8–13-0.0214%12 Jul →
cache13–90.0723%12 Jul →
anubis10–13-0.0519%12 Jul →
inferno9–13-0.0515%12 Jul →
nuke8–13-0.0211%12 Jul →
dust216–120.0221%12 Jul →
cache13–60.0117%12 Jul →
ancient5–130.0310%12 Jul →
ancient13–30.1013%12 Jul →
ancient13–30.0512%11 Jul →
ancient5–13-0.0423%11 Jul →
nuke3–13-0.0611%11 Jul →
inferno4–13-0.069%11 Jul →
mirage13–60.035%9 Jul →
nuke5–13-0.088%9 Jul →
ancient13–9-0.0128%9 Jul →
anubis16–140.0220%9 Jul →
dust22–130.0810%5 Jul →
anubis8–13-0.0116%5 Jul →
dust213–100.0216%5 Jul →
inferno8–13-0.0217%5 Jul →
train9–130.0619%4 Jul →
ancient10–130.0814%4 Jul →
inferno5–13-0.0824%4 Jul →
nuke13–60.0516%4 Jul →
cache9–13-0.0214%4 Jul →
nuke14–16-0.0616%4 Jul →
mirage12–120.0715%4 Jul →
cache13–30.0522%4 Jul →
cache8–13-0.0210%3 Jul →
mirage7–13-0.0010%3 Jul →
ancient9–13-0.0114%3 Jul →
dust213–4-0.0018%3 Jul →
overpass7–13-0.0415%3 Jul →
nuke13–9-0.0317%3 Jul →
inferno14–16-0.029%30 Jun →
nuke4–13-0.0619%29 Jun →
nuke10–130.0124%29 Jun →
overpass13–2-0.0220%28 Jun →
inferno13–9-0.0322%28 Jun →
mirage13–10-0.0224%28 Jun →
dust214–16-0.0011%28 Jun →
inferno2–13-0.097%28 Jun →
nuke6–13-0.0729%28 Jun →
inferno7–13-0.0220%28 Jun →
dust21–13-0.089%28 Jun →
anubis13–60.0716%27 Jun →
nuke11–13-0.0419%27 Jun →
anubis9–13-0.027%27 Jun →
nuke6–13-0.0016%27 Jun →
dust28–13-0.0329%18 Jun →
ancient13–70.0311%18 Jun →
inferno7–13-0.0521%18 Jun →
mirage7–13-0.0321%18 Jun →
anubis13–10-0.0111%16 Jun →
overpass13–30.0414%16 Jun →
dust211–130.0219%16 Jun →
cache13–100.0718%16 Jun →
dust213–11-0.0915%13 Jun →
ancient12–12-0.0511%13 Jun →
nuke13–7-0.0213%13 Jun →
train6–13-0.0412%13 Jun →
mirage12–12-0.0710%13 Jun →
dust213–8-0.0021%13 Jun →

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 →

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