Racksay

Racksay — CS2 Stats

76561198030490187[U:1:70224459]Steam profile ↗✓ No bans

256Tracked matches37%Win rate2023Tracked since
535Hours in CS
CSDB Rating3.3 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,842 -2,732 13 Jun – 6 Jul · 16 days played
8,84211,574peak 11,57413 Jun6 Jul
11,574Peak Premier in tracked matches
24Days played since 2026-06-13

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 4 among CSDB-tracked players (n=13,962), 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 4 medianLevel 5 medianvs Level 5
Headshot rate32.3%42.7%43.8%11.4% short
Shot accuracy14.7%11.3%12.0%above
Kill/death ratio0.790.991.020.23 short
Match win rate42.1%43.9%44.7%2.6% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRacksayFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim35
Positioning27
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY34–66Last 10034%Win rateLLLWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +2.2pp headshot accuracy · +7ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 727ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 690ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 686ms

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 (+2.6 against its own average).

Aim3.5
Utility4.8
Positioning2.7
Opening Duels0.0
Clutch1.4

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 71% 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

T-side openings. Opening success drops from 32% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 686ms 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

Aim3.5
Positioning2.7
Utility4.8
Mechanics6.0
Opening Duels0.2
Win Impact0.6

Composite 3.3/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time682ms−77ms
first ⅓ avg 759ms → last ⅓ avg 682ms
Headshot accuracy10.1%−2.5%
first ⅓ avg 12.6% → last ⅓ avg 10.1%

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

0.05Best match rating · 13–10 · nuke, 1 Jul →
43%Best headshot accuracy · 4–13 · inferno, 21 Jun →
438msFastest reaction time · 13–2 · inferno, 30 Jun →
13–2Biggest win · inferno, 30 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 50% over 16overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D2910–1934%-0.04
infernoD216–1529%-0.06
ancientB168–850%-0.04
anubisD144–1029%-0.06
cacheC83–538%-0.06
overpassD51–420%-0.03
mirage—41–325%-0.06
nuke—21–150%0.03
train—10–10%-0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,020Lifetime kills
0.79K/D
1,592Matches
42.1%Match win rate
32.3%Headshot %
14.7%Shot accuracy · Top 50% of Level 4 players
2,002MVPs
535Hours (in match)
1,689Bombs planted
217Bombs defused

Most-used weapons

Lifetime map wins

3,809dust2
1,875inferno
838train
592cbble
307nuke
115vertigo
66bank
63office

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

Faceit stats

Combat

43Matches
49%Win rate
0.53Avg K/D
45.8ADR
39%Headshot %

Clutches & streaks

27%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis825%0.467.0
Dust2743%0.6910.3
Inferno757%0.477.3
Cache786%0.568.3
Ancient650%0.599.2
Mirage520%0.305.2
Overpass2100%0.7911.0

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.

9.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
37.3%Spray accuracy
77.2%Counter-strafing
12.4°Preaim
686msReaction time
12.3%T opening success
31.9%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
9.03HE damage / grenade
3.61Flashes / 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 12.3816° — above the 12° mark we flag

    Aim Training →
  2. 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 9.8323% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 3.6071 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.073%30 Aug →
cache10–13-0.0615%30 Aug →
cache11–13-0.137%26 Aug →
ancient13–7-0.0517%26 Aug →
inferno13–9-0.056%17 Aug →
dust213–50.0017%17 Aug →
cache3–13-0.127%8 Jul →
ancient13–10-0.028%8 Jul →
inferno7–13-0.1221%8 Jul →
nuke5–130.0113%7 Jul →
inferno8–13-0.0610%7 Jul →
anubis2–13-0.0511%7 Jul →
ancient13–70.018%7 Jul →
anubis7–13-0.125%6 Jul →
inferno6–13-0.0411%6 Jul →
dust21–13-0.0920%6 Jul →
ancient7–13-0.0511%3 Jul →
overpass4–13-0.006%2 Jul →
nuke13–100.057%1 Jul →
dust213–7-0.034%1 Jul →
ancient11–13-0.060%1 Jul →
inferno13–20.040%30 Jun →
ancient13–60.0113%29 Jun →
cache7–13-0.0610%28 Jun →
dust23–13-0.068%28 Jun →
inferno5–13-0.067%28 Jun →
cache13–90.0122%28 Jun →
inferno13–11-0.036%26 Jun →
anubis8–13-0.0511%26 Jun →
dust28–13-0.0514%26 Jun →
inferno13–8-0.0112%25 Jun →
ancient13–11-0.016%25 Jun →
inferno13–10-0.0619%25 Jun →
dust213–9-0.049%25 Jun →
overpass3–13-0.080%23 Jun →
dust27–130.0124%23 Jun →
anubis6–13-0.028%23 Jun →
dust213–9-0.0210%23 Jun →
dust22–13-0.0814%23 Jun →
dust24–13-0.1114%22 Jun →
inferno4–13-0.0815%22 Jun →
overpass9–13-0.064%22 Jun →
dust211–13-0.0012%22 Jun →
anubis7–13-0.0819%22 Jun →
ancient9–13-0.0410%22 Jun →
dust213–11-0.046%21 Jun →
ancient9–13-0.0514%21 Jun →
inferno4–13-0.1043%21 Jun →
dust213–8-0.055%20 Jun →
anubis13–110.0412%20 Jun →
anubis13–100.027%20 Jun →
mirage5–13-0.0413%20 Jun →
dust26–13-0.0812%20 Jun →
inferno13–9-0.0610%18 Jun →
anubis8–13-0.090%18 Jun →
dust217–19-0.0518%18 Jun →
dust21–13-0.1113%18 Jun →
dust210–13-0.066%18 Jun →
overpass13–60.028%18 Jun →
anubis10–13-0.0920%17 Jun →
dust28–13-0.0717%17 Jun →
dust213–50.019%17 Jun →
anubis4–13-0.1210%17 Jun →
dust211–13-0.0415%16 Jun →
anubis13–11-0.0210%16 Jun →
ancient13–10-0.0215%16 Jun →
dust25–13-0.0211%16 Jun →
dust213–80.0116%16 Jun →
dust213–10-0.0119%16 Jun →
dust29–13-0.0314%16 Jun →
ancient7–13-0.0316%15 Jun →
overpass5–13-0.0214%15 Jun →
anubis9–13-0.0910%15 Jun →
ancient4–0-0.0313%15 Jun →
dust28–13-0.0239%15 Jun →
inferno13–16-0.078%15 Jun →
inferno5–13-0.087%15 Jun →
inferno3–13-0.090%15 Jun →
mirage13–9-0.0820%14 Jun →
mirage9–13-0.037%14 Jun →
dust28–13-0.0430%14 Jun →
ancient2–13-0.130%14 Jun →
train7–13-0.0814%14 Jun →
inferno5–13-0.0710%14 Jun →
ancient14–16-0.0517%14 Jun →
inferno14–16-0.0220%14 Jun →
dust24–12-0.0215%14 Jun →
dust26–13-0.087%14 Jun →
cache13–7-0.046%13 Jun →
inferno8–13-0.0713%13 Jun →
mirage6–13-0.0820%13 Jun →
cache11–13-0.0612%13 Jun →
ancient13–90.018%13 Jun →
inferno11–13-0.0712%13 Jun →
inferno14–16-0.069%13 Jun →
dust213–6-0.063%13 Jun →
anubis16–14-0.0813%13 Jun →
cache16–120.0115%13 Jun →
ancient8–13-0.143%13 Jun →
inferno13–16-0.047%13 Jun →

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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