KR3W

KR3W — CS2 Stats

RS76561198295807729[U:1:335542001]Steam profile ↗✓ No bans

900Tracked matches64%Win rate2020Tracked since
3,536Hours in CS41Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating24,482Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)
CSDB Leaderboard#28336 of 260015 tracked
FaceitLevel 9 · 1,685 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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.

Rating over time

Premier CS Rating: 24,482 +3,424 8 Aug – 2 Nov · 27 days played
20,71924,482peak 24,4828 Aug2 Nov
24,482Peak Premier in tracked matches
1,685Highest Faceit ELO seen on CSDB
35Days played since 2026-08-06

Faceit ELO

  • At peak — 1,685
  • Next: Level 9 at 1,751 — 66 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 24,482
  • +2,108 over 30 days · improving
  • +3,424 over 90 days
  • Next: Red band at 25,000 — 518 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 rate48.9%48.2%50.9%2.1% short
Shot accuracy13.7%13.2%13.7%meets
Kill/death ratio1.631.071.09above
Match win rate53.9%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGKR3WFACEITLevel 9 · 1,685 ELOSTANDINGTop 20.7% of rankedPREMIER24,482 · Pink bandPEAK ELO1,685csdb.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

Aim78
Positioning71
Utility62

0–100 skill scores via Leetify.

Recent form

HOT59–38–3Last 10059%Win rateWWLWTWLWWW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −4.1pp headshot accuracy · +8ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 509ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 514ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 510ms

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 (+1.6 against its own average).

Aim7.8
Utility6.2
Positioning7.1
Opening Duels4.4
Clutch4.4

Strong T-side opener

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 40% on CT — first contacts on the defending side are being lost.

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

Aim7.8
Positioning7.1
Utility6.2
Mechanics5.9
Opening Duels5.6
Win Impact9.8

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time529ms−21ms
first ⅓ avg 550ms → last ⅓ avg 529ms
Headshot accuracy18.3%+1.1%
first ⅓ avg 17.3% → last ⅓ avg 18.3%

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

0.15Best match rating · 13–7 · ancient, 31 Oct →
38%Best headshot accuracy · 13–8 · cache, 5 Sept →
383msFastest reaction time · 11–13 · inferno, 29 Aug →
13–0Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
14–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 71% over 14nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB2211–1150%0.03
infernoS2013–765%0.01
dust2A1811–761%0.01
mirageS1410–471%0.02
anubisB105–550%0.01
ancientA95–456%0.03
nukeC52–340%0.03
office—11–0100%0.04
train—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,665Lifetime kills
1.63K/D · Top 5% of Level 9 players
4,089Matches
53.9%Match win rate · Top 10% of Level 9 players
48.9%Headshot % · Top 50% of Level 9 players
13.7%Shot accuracy · Top 50% of Level 9 players
19,191MVPs
1,755Hours (in match)
5,515Bombs planted
943Bombs defused

Most-used weapons

AK-4734,835
AWP13,323
FAMAS2,332
P2501,459
MP91,424

Lifetime map wins

14,229inferno
4,903dust2
2,259nuke
1,682office
748vertigo
592train
199cbble
47italy

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

Faceit stats

Combat

443Matches
53%Win rate
1.35Avg K/D
90.0ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
31%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno9552%1.3818.3
Dust28752%1.4218.2
Mirage8653%1.2018.0
Anubis5452%1.4618.5
Ancient2843%1.2517.3
Nuke2162%1.3520.9
Cache1145%1.1519.9
Vertigo333%1.3718.7

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.

18.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.0%Spray accuracy
76.7%Counter-strafing
8.2°Preaim
525msReaction time
65.1%T opening success
40.0%CT opening success
0.54Enemies flashed / flash
4.6%Flash assists
7.98HE damage / grenade
14.87Flashes / match

Recommended for you

Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0110%2 Nov →
ancient13–110.0120%2 Nov →
anubis10–13-0.0113%1 Nov →
dust213–4-0.0511%1 Nov →
ancient12–120.0424%1 Nov →
ancient13–70.1520%31 Oct →
dust26–13-0.0421%31 Oct →
dust213–00.0717%31 Oct →
mirage13–110.0019%31 Oct →
ancient13–60.0511%31 Oct →
office13–110.0423%30 Oct →
cache1–9-0.0313%30 Oct →
nuke15–150.0816%29 Oct →
cache12–16-0.0732%29 Oct →
cache16–130.0820%25 Oct →
dust213–40.0816%25 Oct →
inferno8–130.0515%25 Oct →
ancient16–130.0513%25 Oct →
cache13–70.0423%25 Oct →
cache13–00.0836%23 Oct →
cache8–130.0126%23 Oct →
anubis5–13-0.0612%23 Oct →
mirage13–9-0.0711%22 Oct →
nuke13–7-0.0222%22 Oct →
dust213–40.0219%22 Oct →
dust213–100.0130%22 Oct →
cache11–130.0627%17 Oct →
cache11–130.0217%17 Oct →
anubis7–13-0.0317%17 Oct →
inferno13–11-0.0411%17 Oct →
mirage13–40.1011%17 Oct →
dust215–15-0.0213%11 Oct →
ancient8–13-0.0619%11 Oct →
anubis13–11-0.0112%10 Oct →
mirage11–13-0.009%10 Oct →
inferno13–30.0318%9 Oct →
mirage6–130.0417%9 Oct →
dust213–110.0211%9 Oct →
nuke10–130.0618%8 Oct →
inferno13–60.0218%8 Oct →
mirage13–110.0715%7 Oct →
cache13–70.0517%7 Oct →
cache13–16-0.0623%5 Oct →
inferno10–13-0.0110%5 Oct →
cache13–100.0715%5 Oct →
nuke13–40.0513%3 Oct →
dust27–130.0222%3 Oct →
mirage13–20.0518%3 Oct →
mirage13–8-0.0118%3 Oct →
dust216–13-0.0317%2 Oct →
cache13–60.1318%2 Oct →
cache13–100.0813%2 Oct →
dust210–13-0.0411%30 Sept →
ancient11–13-0.0114%27 Sept →
inferno13–20.0419%27 Sept →
dust210–13-0.0711%27 Sept →
cache10–13-0.0418%20 Sept →
dust213–30.0821%20 Sept →
mirage13–50.0825%20 Sept →
anubis13–30.0818%19 Sept →
anubis11–130.0612%19 Sept →
cache13–100.0121%19 Sept →
inferno13–50.1032%19 Sept →
anubis4–13-0.0016%13 Sept →
mirage13–50.089%13 Sept →
anubis13–110.0515%13 Sept →
nuke5–13-0.036%10 Sept →
inferno3–130.0623%10 Sept →
inferno16–12-0.0318%6 Sept →
ancient2–13-0.038%6 Sept →
cache9–130.0522%6 Sept →
inferno13–9-0.0420%6 Sept →
cache7–130.0725%5 Sept →
inferno13–60.0419%5 Sept →
cache10–130.0325%5 Sept →
cache13–80.0238%5 Sept →
dust28–13-0.0217%5 Sept →
mirage12–60.0017%5 Sept →
mirage9–13-0.018%5 Sept →
inferno8–13-0.0316%31 Aug →
cache9–130.0118%29 Aug →
inferno11–13-0.0414%29 Aug →
anubis13–80.0316%26 Aug →
inferno14–160.0421%18 Aug →
dust213–50.0915%18 Aug →
inferno19–170.0920%16 Aug →
cache13–5-0.0319%15 Aug →
train13–100.0618%15 Aug →
ancient13–80.0815%9 Aug →
anubis13–7-0.0014%9 Aug →
mirage13–11-0.0014%9 Aug →
inferno13–110.0416%8 Aug →
inferno7–13-0.0522%8 Aug →
cache16–140.0115%8 Aug →
dust213–160.0313%7 Aug →
inferno13–80.0312%7 Aug →
dust213–110.0416%7 Aug →
inferno13–110.0412%7 Aug →
inferno13–10-0.038%7 Aug →
mirage3–13-0.0118%6 Aug →

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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