BlayK47

BlayK47 — CS2 Stats

76561199090659576[U:1:1130393848]Steam profile ↗✓ No bans

1,200Tracked matches52%Win rate2023Tracked since
885Hours in CS9Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating22,543Top 50% of 819 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#3811 of 12567 tracked
FaceitLevel 6 · 1,310 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGBlayK47FACEITLevel 6 · 1,310 ELOSTANDINGTop 54.0% of rankedPREMIER22,543 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning37
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateWWLLLLLLWW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.2
Aggression4.4
Utility5.2
Positioning3.7
Opening Duels1.0
Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 590ms 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

Aim7.2
Positioning3.7
Utility5.2
Mechanics5.9
Opening Duels1.0
Win Impact5.6

Composite 5.3/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time599ms−12ms
first ⅓ avg 611ms → last ⅓ avg 599ms
Headshot accuracy13.9%−3.8%
first ⅓ avg 17.7% → last ⅓ avg 13.9%

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.

Highlights

0.12Best rating — ancient 13–9
131Biggest win — dust2
8Longest win streak
W2Current streak
138In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 67% over 9infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A34211362%-0.01
mirageC23101343%-0.02
infernoC135838%-0.01
ancientB105550%0.00
anubisS96367%0.01
nukeB63350%-0.02
overpass31233%-0.02
cache21150%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,154Lifetime kills
0.95K/D
1,321Matches
49.3%Match win rate · Top 25% of Pink band
47.2%Headshot %
3.5%Shot accuracy
2,368MVPs
490Hours (in match)
1,121Bombs planted
263Bombs defused

Most-used weapons

Lifetime map wins

2,531dust2
2,110inferno
1,038nuke
948vertigo
119office
98train

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

Faceit stats

Combat

124Matches
55%Win rate
1.09Avg K/D
75.4ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2850%1.1816.6
Inferno2050%1.1917.6
Vertigo1747%1.1916.0
Dust21765%0.8515.1
Ancient757%1.1719.9
Nuke667%1.0416.5
Overpass667%1.1022.5
Anubis580%1.0415.0

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.

13.3%Headshot accuracy
40.2%Accuracy (enemy spotted)
38.0%Spray accuracy
76.5%Counter-strafing
9.1°Preaim
590msReaction time
32.8%T opening success
35.0%CT opening success
0.57Enemies flashed / flash
7.9%Flash assists
10.72HE damage / grenade
6.61Flashes / 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. 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 13.3045% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.7512% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0311%27 Aug
dust216–13-0.0313%27 Aug
dust210–13-0.0311%26 Aug
mirage6–13-0.0325%26 Aug
mirage11–13-0.0017%26 Aug
dust27–13-0.0614%22 Aug
anubis9–13-0.039%22 Aug
mirage1–13-0.077%22 Aug
mirage13–3-0.0415%22 Aug
dust213–11-0.0210%22 Aug
dust210–13-0.0814%15 Aug
ancient14–16-0.0312%15 Aug
cache13–11-0.077%15 Aug
ancient13–110.0011%5 Aug
mirage13–10-0.0012%5 Aug
dust213–11-0.0013%25 Jul
dust213–3-0.0015%15 Jul
anubis13–7-0.0116%15 Jul
dust213–30.0022%17 Jun
mirage13–11-0.0118%17 Jun
dust28–13-0.0315%13 Jun
dust210–13-0.0115%13 Jun
nuke8–13-0.0413%12 Jun
dust213–10-0.0414%5 Jun
inferno9–130.039%5 Jun
ancient10–130.015%3 Jun
dust213–10-0.0313%3 Jun
mirage5–13-0.0317%31 May
dust213–70.0213%31 May
dust215–15-0.0417%30 May
inferno13–8-0.0211%30 May
mirage13–80.0315%27 May
inferno13–50.0231%27 May
mirage13–9-0.0513%27 May
anubis8–130.0418%21 May
inferno7–13-0.0710%21 May
ancient13–20.0313%21 May
dust213–11-0.0323%21 May
ancient13–11-0.0111%20 May
anubis13–60.0611%20 May
dust215–150.0014%15 May
mirage16–13-0.0114%15 May
dust213–60.0214%15 May
inferno13–10-0.0114%13 May
dust20–10-0.0519%13 May
ancient6–13-0.0412%12 May
nuke4–130.0213%7 May
dust213–11-0.0117%7 May
overpass13–110.0514%7 May
mirage8–13-0.0215%7 May
inferno6–13-0.027%6 May
dust26–13-0.0315%6 May
inferno13–60.037%6 May
dust213–60.0612%4 May
nuke13–110.0218%4 May
cache2–13-0.057%30 Apr
mirage7–13-0.0914%30 Apr
dust213–10.0612%30 Apr
dust213–11-0.0424%30 Apr
anubis5–130.0111%26 Apr
inferno9–13-0.0215%26 Apr
nuke13–11-0.0514%25 Apr
mirage15–150.0211%25 Apr
mirage11–13-0.0116%25 Apr
inferno16–12-0.024%21 Apr
dust213–8-0.0112%20 Apr
overpass8–13-0.0223%20 Apr
dust211–130.0314%20 Apr
ancient13–10-0.0415%11 Apr
anubis13–10-0.0012%11 Apr
dust216–130.0417%11 Apr
dust213–110.0117%4 Apr
dust214–16-0.0212%4 Apr
inferno6–130.0217%4 Apr
dust29–130.1120%1 Apr
anubis13–90.0420%20 Mar
mirage10–13-0.0419%20 Mar
overpass8–13-0.0814%11 Mar
dust213–20.0643%7 Mar
dust213–9-0.0220%7 Mar
dust23–13-0.0810%7 Mar
mirage15–15-0.0110%25 Feb
dust213–10-0.0418%22 Feb
inferno15–150.028%22 Feb
nuke11–13-0.0915%16 Feb
mirage1–13-0.1210%16 Feb
mirage13–100.0032%16 Feb
ancient11–130.0319%7 Feb
ancient5–13-0.0518%7 Feb
mirage11–13-0.0226%7 Feb
mirage13–6-0.0619%7 Feb
anubis13–6-0.0220%2 Feb
inferno10–13-0.0311%2 Feb
nuke13–80.0229%2 Feb
mirage8–130.0520%30 Jan
mirage13–40.0429%30 Jan
ancient13–90.1216%30 Jan
dust216–13-0.0310%29 Jan
mirage13–20.0415%29 Jan
inferno9–13-0.0113%29 Jan

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 →