rawkz

rawkz — CS2 Stats

DE76561197970671356[U:1:10405628]Steam profile ↗✓ No bans

2,012Tracked matches21%Win rate2020Tracked since
5,064Hours in CS27Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating18,123Purple band · top ~16% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,123 → 18,123
+1Tracked matches · now 2,012
−3.6ppWin rate · 25.0% → 21.4%

Rating over time

Premier CS Rating: 18,123 -4,185 16 Aug – 4 Oct · 29 days played
18,12324,569peak 24,56916 Aug4 Oct
24,881Peak Premier in tracked matches
29Days played since 2026-08-16

Premier CS Rating

  • 6,446 below peak (24,569)
  • -5,766 over 30 days · declining
  • Next: Pink band at 20,000 — 1,877 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-10-04

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 rate39.4%44.3%46.9%7.5% short
Shot accuracy15.7%11.9%13.0%above
Kill/death ratio1.081.031.08meets
Match win rate45.0%45.2%46.7%1.7% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGrawkzPREMIER18,123 · Purple bandcsdb.gg/stats

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Performance scores

Aim35
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

COLD37–59–4Last 10037%Win rateLLLLLLLLWT

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +3.9pp headshot accuracy · +48ms reaction

Win rate down 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 622ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

Last 20

  • 4–14–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

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 (+1.3 against its own average).

Aim3.5
Utility6.0
Positioning5.6
Opening Duels2.5

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

jL

Plays most like jL 58% 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

Strengths

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

Areas to improve

CT openings. Opening success drops from 66% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% 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

Aim3.5
Positioning5.6
Utility6.0
Mechanics0.3
Opening Duels5.2
Win Impact0.0

Composite 3.6/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time578ms+40ms
first ⅓ avg 539ms → last ⅓ avg 578ms
Headshot accuracy14.5%+1.3%
first ⅓ avg 13.2% → last ⅓ avg 14.5%

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

0.08Best match rating · 13–2 · nuke, 25 Aug →
33%Best headshot accuracy · 7–13 · dust2, 23 Sept →
367msFastest reaction time · 5–13 · anubis, 23 Sept →
13–2Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L8Current streak
8–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 50% over 20dust2Weakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2713–1448%-0.02
nukeB2010–1050%0.00
anubisC167–944%-0.00
ancientD134–931%-0.03
cacheD133–1023%-0.01
dust2D80–80%-0.03
mirage—20–20%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,995Lifetime kills
1.08K/D · Top 50% of Purple band
6,372Matches
45.0%Match win rate
39.4%Headshot %
15.7%Shot accuracy · Top 25% of Purple band
16,086MVPs
2,911Hours (in match)
6,850Bombs planted
1,580Bombs defused

Most-used weapons

AK-4729,322
AWP17,912
XM101415,066
MP78,516
SG 5537,142
P2504,138
UMP-454,069

Lifetime map wins

17,662inferno
16,943nuke
5,971dust2
2,152train
2,020cbble
1,912vertigo
249office
118militia

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
32.5%Accuracy (enemy spotted)
36.2%Spray accuracy
51.1%Counter-strafing
11.2°Preaim
585msReaction time
65.9%T opening success
35.3%CT opening success
0.64Enemies flashed / flash
5.9%Flash assists
10.69HE damage / grenade
6.12Flashes / 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 14.7343% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 35.2573% — below the 40% mark we flag

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.

0% win rate across 8 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
ancient11–13-0.0415%4 Oct →
mirage4–13-0.0511%3 Oct →
mirage9–13-0.0314%3 Oct →
dust27–13-0.0116%3 Oct →
nuke10–130.0219%3 Oct →
dust25–13-0.0625%3 Oct →
dust210–13-0.0118%3 Oct →
dust211–13-0.0116%3 Oct →
anubis13–80.0811%2 Oct →
nuke15–150.0313%1 Oct →
inferno13–11-0.057%1 Oct →
dust210–130.0119%29 Sept →
inferno13–6-0.0011%29 Sept →
inferno15–150.0111%29 Sept →
dust24–13-0.104%29 Sept →
inferno3–13-0.069%27 Sept →
cache7–13-0.0617%27 Sept →
inferno13–10-0.0114%26 Sept →
inferno11–13-0.048%26 Sept →
nuke5–13-0.0520%26 Sept →
nuke11–13-0.0214%26 Sept →
anubis13–9-0.0110%26 Sept →
inferno8–13-0.0319%26 Sept →
nuke11–13-0.0215%24 Sept →
ancient10–13-0.0615%24 Sept →
dust21–13-0.039%24 Sept →
inferno7–13-0.0015%24 Sept →
nuke13–110.0222%24 Sept →
anubis5–13-0.0012%23 Sept →
dust27–13-0.0433%23 Sept →
nuke13–50.025%23 Sept →
anubis10–13-0.0115%22 Sept →
inferno13–100.0017%22 Sept →
nuke5–13-0.0018%22 Sept →
nuke13–60.0220%22 Sept →
cache6–13-0.0314%20 Sept →
nuke14–16-0.0216%20 Sept →
inferno16–13-0.0327%20 Sept →
nuke8–130.077%20 Sept →
inferno5–13-0.0310%15 Sept →
cache1–13-0.0320%15 Sept →
nuke16–13-0.025%15 Sept →
anubis16–140.0120%15 Sept →
nuke8–13-0.0212%12 Sept →
ancient2–13-0.0716%12 Sept →
inferno8–13-0.0716%12 Sept →
anubis13–80.0114%12 Sept →
anubis15–15-0.0325%12 Sept →
ancient9–13-0.056%10 Sept →
anubis9–13-0.074%10 Sept →
anubis12–16-0.056%7 Sept →
inferno13–11-0.034%7 Sept →
cache13–100.0721%7 Sept →
anubis7–13-0.046%5 Sept →
cache13–5-0.0211%5 Sept →
cache7–13-0.0021%5 Sept →
inferno13–90.0416%5 Sept →
ancient6–13-0.0311%4 Sept →
cache8–13-0.0119%4 Sept →
nuke13–8-0.0019%4 Sept →
anubis13–110.0222%1 Sept →
inferno13–10-0.0114%1 Sept →
anubis13–90.049%31 Aug →
ancient5–130.059%30 Aug →
anubis7–130.038%30 Aug →
anubis5–13-0.0429%30 Aug →
inferno4–130.008%26 Aug →
inferno13–5-0.0114%26 Aug →
inferno4–130.0712%26 Aug →
inferno1–13-0.0414%26 Aug →
ancient4–13-0.037%25 Aug →
nuke13–20.0822%25 Aug →
ancient13–10-0.0117%23 Aug →
nuke8–13-0.0617%23 Aug →
cache11–13-0.0011%22 Aug →
inferno11–13-0.0315%22 Aug →
inferno9–13-0.0424%22 Aug →
anubis13–110.0020%22 Aug →
cache3–13-0.045%21 Aug →
inferno10–13-0.035%21 Aug →
ancient16–13-0.018%21 Aug →
ancient7–13-0.0514%21 Aug →
cache15–150.0222%21 Aug →
cache6–13-0.003%19 Aug →
ancient13–9-0.0412%19 Aug →
nuke13–9-0.0211%19 Aug →
cache13–70.056%19 Aug →
anubis10–13-0.0118%18 Aug →
inferno13–7-0.028%18 Aug →
nuke13–7-0.0111%17 Aug →
inferno13–10-0.0319%17 Aug →
nuke16–120.0116%17 Aug →
ancient14–12-0.0116%17 Aug →
cache6–13-0.0310%17 Aug →
inferno13–80.0214%16 Aug →
ancient11–130.0313%16 Aug →
vertigo6–9-0.0211%16 Aug →
inferno7–9-0.0414%16 Aug →
nuke13–110.0213%16 Aug →
inferno13–9-0.0014%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.