RardedRacc

RardedRacc — CS2 Stats

76561198981841806[U:1:1021576078]Steam profile ↗✓ No bans

1,532Tracked matches31%Win rate2021Tracked since
1,353Hours in CS17Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating3,645Grey band · top ~84.5% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 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.

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. 46 days played since 27 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,645 -99 27 Jun16 Sept · 33 days played
3,3904,751peak 4,75127 Jun16 Sept
4,751Peak Premier in tracked matches
46Days played since 2026-06-27

Premier CS Rating

  • 1,106 below peak (4,751)
  • -305 over 30 days · steady
  • -99 over 90 days
  • Next: Light Blue band at 5,000 1,355 to go

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 Grey band among CSDB-tracked players (n=3,416), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.8%38.1%39.9%3.1% short
Shot accuracy10.6%3.8%6.9%above
Kill/death ratio0.720.830.920.19 short
Match win rate39.9%40.1%42.3%2.4% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRardedRaccPREMIER3,645 · Grey bandcsdb.gg/stats

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Performance scores

Aim45
Positioning42
Utility28

0–100 skill scores via Leetify.

Recent form

COLD33634Last 10033%Win rateLWLLTLWWLL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +4.5pp headshot accuracy · +76ms 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

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 747ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 692ms

Last 20

  • 6113 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 654ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim4.5
Utility2.8
Positioning4.2
Opening Duels1.2

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

NiKo

Plays most like NiKo 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

Reaction time. 665ms 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

Aim4.5
Positioning4.2
Utility2.8
Mechanics6.3
Opening Duels1.7
Win Impact0.0

Composite 3.4/10 (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-0.06−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time672ms−89ms
first ⅓ avg 761ms → last ⅓ avg 672ms
Headshot accuracy16.5%+1.0%
first ⅓ avg 15.5% → 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

0.13Best match rating · 9–5 · nuke, 16 Sept
45%Best headshot accuracy · 3–9 · vertigo, 6 Sept
438msFastest reaction time · 5–13 · anubis, 16 Aug
13–1Biggest win · ancient, 7 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
713In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 45% over 20infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D2041620%-0.05
mirageB2091145%-0.06
cacheD1751229%-0.03
ancientC125742%-0.06
anubisD123925%-0.07
nukeC94544%-0.02
infernoD5050%-0.06
vertigo32167%-0.11
poseidon110100%-0.10
overpass1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,070Lifetime kills
0.72K/D
2,110Matches
39.9%Match win rate
36.8%Headshot %
10.6%Shot accuracy · Top 50% of Grey band
2,670MVPs
701Hours (in match)
1,412Bombs planted
261Bombs defused

Most-used weapons

Lifetime map wins

1,592nuke
1,584inferno
1,524dust2
858vertigo
447train
46cbble
41lake
2office

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.

14.7%Headshot accuracy
31.4%Accuracy (enemy spotted)
28.8%Spray accuracy
78.2%Counter-strafing
9.9°Preaim
665msReaction time
40.9%T opening success
32.4%CT opening success
0.45Enemies flashed / flash
3.7%Flash assists
7.06HE damage / grenade
4.97Flashes / 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 14.7113% — 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 0.4452 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.4345% — below the 40% mark we flag

Spend your practice time on Inferno

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–9-0.177%16 Sept
nuke9–50.1335%16 Sept
inferno7–90.0324%16 Sept
dust25–13-0.1022%16 Sept
ancient15–15-0.0014%16 Sept
dust27–13-0.0318%15 Sept
anubis13–6-0.0225%15 Sept
cache13–80.0423%15 Sept
dust214–16-0.067%14 Sept
cache11–13-0.0419%12 Sept
nuke8–8-0.0514%12 Sept
ancient13–6-0.0421%12 Sept
anubis6–13-0.0910%12 Sept
ancient16–14-0.0520%11 Sept
mirage4–13-0.126%11 Sept
ancient10–13-0.0717%11 Sept
cache3–13-0.118%10 Sept
inferno8–8-0.0727%10 Sept
nuke9–70.029%10 Sept
ancient4–13-0.1316%8 Sept
anubis7–13-0.0210%8 Sept
ancient13–1-0.0312%7 Sept
mirage3–13-0.0513%6 Sept
nuke10–13-0.0213%6 Sept
vertigo3–9-0.1545%6 Sept
nuke9–7-0.1612%6 Sept
dust213–9-0.0911%5 Sept
ancient5–13-0.0913%5 Sept
inferno8–13-0.049%5 Sept
dust28–13-0.0113%4 Sept
poseidon9–6-0.1018%4 Sept
nuke8–8-0.0321%4 Sept
vertigo9–7-0.1712%4 Sept
vertigo9–3-0.0114%4 Sept
nuke9–10.1011%4 Sept
inferno6–9-0.1311%4 Sept
inferno5–9-0.0812%4 Sept
anubis3–13-0.089%1 Sept
dust211–13-0.0522%31 Aug
cache11–13-0.0527%30 Aug
anubis7–13-0.0414%30 Aug
dust213–9-0.0016%28 Aug
mirage2–13-0.080%28 Aug
mirage13–10-0.0414%24 Aug
mirage13–10-0.0411%24 Aug
mirage2–13-0.0840%24 Aug
dust26–13-0.0618%24 Aug
mirage13–4-0.103%24 Aug
cache14–160.0023%23 Aug
nuke2–13-0.0617%20 Aug
mirage6–13-0.1217%20 Aug
cache11–13-0.0424%18 Aug
mirage13–9-0.0317%18 Aug
dust26–13-0.068%17 Aug
mirage9–13-0.0318%16 Aug
anubis5–13-0.0514%16 Aug
anubis8–13-0.114%15 Aug
dust210–13-0.0814%14 Aug
dust28–13-0.0815%14 Aug
cache6–13-0.088%12 Aug
mirage16–130.0217%11 Aug
anubis10–13-0.1017%10 Aug
cache13–10-0.074%10 Aug
cache13–90.0413%9 Aug
dust213–11-0.0616%6 Aug
ancient16–13-0.0120%6 Aug
cache14–16-0.0513%4 Aug
dust26–13-0.0718%4 Aug
anubis11–13-0.0616%2 Aug
dust28–13-0.1118%2 Aug
ancient13–7-0.0522%1 Aug
mirage7–13-0.0612%1 Aug
cache11–13-0.0913%1 Aug
cache3–13-0.0421%28 Jul
dust26–13-0.0621%28 Jul
dust212–16-0.0629%26 Jul
ancient5–13-0.129%26 Jul
anubis13–11-0.1120%25 Jul
ancient6–13-0.0517%25 Jul
dust26–130.0322%24 Jul
mirage13–11-0.0414%22 Jul
mirage13–9-0.0419%21 Jul
cache5–130.042%21 Jul
dust211–13-0.0413%20 Jul
cache13–16-0.0112%19 Jul
mirage8–13-0.085%19 Jul
mirage13–10-0.0710%18 Jul
cache13–4-0.0715%18 Jul
cache11–13-0.068%18 Jul
mirage9–13-0.0724%18 Jul
mirage1–13-0.1222%18 Jul
dust213–70.055%12 Jul
cache13–50.0321%12 Jul
overpass6–13-0.078%5 Jul
mirage13–7-0.0316%5 Jul
dust24–13-0.0710%30 Jun
anubis4–13-0.0916%29 Jun
ancient14–16-0.0412%28 Jun
mirage6–13-0.0525%27 Jun
anubis13–8-0.0717%27 Jun

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 →