Blur

Blur — CS2 Stats

US76561198171601887[U:1:211336159]Steam profile ↗✓ No bans

815Tracked matches60%Win rate2024Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating23,564Top 25% of 180,525 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#33126 of 225943 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). 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. 21 days played since 4 Aug 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: 23,564 +3,631 4 Aug17 Sept · 20 days played
19,82723,569peak 23,5694 Aug17 Sept
23,921Peak Premier in tracked matches
21Days played since 2026-08-04

Premier CS Rating

  • 5 below peak (23,569)
  • +1,595 over 30 days · improving
  • Next: Red band at 25,000 1,436 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.

Share this profile

CSDB.GGBlurFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER23,564 · Pink bandcsdb.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

Aim71
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

HOT55423Last 10055%Win rateLLWLWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −6.6pp headshot accuracy · +7ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 588ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 622ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 618ms

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: SupportUtility contribution stands above the rest of this profile (+2 against its own average).

Aim7.1
Utility7.1
Positioning5.6
Opening Duels3.4
Clutch4.4

Strong CT-side openerEffective flashes

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 80% 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

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 588ms 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

Aim7.1
Positioning5.6
Utility7.1
Mechanics5.1
Opening Duels3.7
Win Impact8.3

Composite 6.4/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time584ms−57ms
first ⅓ avg 640ms → last ⅓ avg 584ms
Headshot accuracy20.8%−3.2%
first ⅓ avg 24.0% → last ⅓ avg 20.8%

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

0.09Best match rating · 16–12 · mirage, 13 Aug
100%Best headshot accuracy · 13–0 · mirage, 19 Aug
422msFastest reaction time · 8–2 · dust2, 25 Aug
13–0Biggest win · mirage, 15 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
76In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 65% over 37infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
mirageS37241365%0.01
infernoC1981142%-0.01
dust2A1810856%-0.02
cacheB168850%-0.01
nukeA53260%-0.01
ancient42250%-0.02
anubis1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

431Matches
48%Win rate
1.06Avg K/D
77.6ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5342%0.9514.8
Inferno3465%1.1015.1
Dust22450%0.8913.0
Anubis1729%0.7612.7
Vertigo1540%0.8013.8
Ancient1377%1.1415.4
Overpass862%0.8411.9
Nuke520%0.7111.4

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.

20.1%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.3%Spray accuracy
73.0%Counter-strafing
7.8°Preaim
588msReaction time
38.5%T opening success
51.3%CT opening success
0.83Enemies flashed / flash
6.0%Flash assists
10.62HE damage / grenade
12.79Flashes / 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

    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 38.4884% — 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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0223%17 Sept
inferno5–13-0.0123%17 Sept
mirage16–130.0626%17 Sept
anubis8–13-0.0514%16 Sept
inferno13–10-0.0217%16 Sept
cache13–8-0.0026%16 Sept
dust213–6-0.0510%16 Sept
mirage13–100.0319%15 Sept
mirage13–110.0415%15 Sept
cache13–10-0.029%15 Sept
dust213–50.0135%15 Sept
mirage13–6-0.0232%15 Sept
mirage13–00.0734%15 Sept
dust29–130.0011%14 Sept
cache6–130.0217%14 Sept
mirage13–7-0.0330%14 Sept
mirage10–13-0.0114%9 Sept
cache10–13-0.0119%9 Sept
mirage4–13-0.0431%9 Sept
mirage9–130.0524%9 Sept
ancient13–4-0.0419%9 Sept
ancient7–13-0.0421%8 Sept
mirage13–7-0.0317%8 Sept
cache13–11-0.049%8 Sept
dust211–130.0226%8 Sept
mirage13–60.0621%8 Sept
inferno13–100.0317%6 Sept
ancient13–70.0120%3 Sept
mirage13–60.0533%3 Sept
inferno6–13-0.053%3 Sept
mirage13–160.0214%3 Sept
nuke13–3-0.0133%3 Sept
mirage13–60.0524%3 Sept
mirage3–13-0.0318%3 Sept
mirage10–13-0.0513%31 Aug
inferno3–13-0.0418%31 Aug
cache13–11-0.0018%31 Aug
dust216–140.029%31 Aug
inferno6–13-0.087%31 Aug
dust27–13-0.108%31 Aug
cache10–13-0.0624%30 Aug
cache10–13-0.0213%30 Aug
nuke9–13-0.0925%30 Aug
mirage13–70.0223%30 Aug
mirage9–13-0.0112%27 Aug
mirage16–13-0.0317%27 Aug
cache11–13-0.0417%27 Aug
dust214–16-0.0914%27 Aug
inferno2–13-0.0514%25 Aug
mirage15–15-0.0311%25 Aug
dust28–20.0017%25 Aug
mirage13–50.0827%25 Aug
dust213–80.0021%25 Aug
cache6–13-0.0618%25 Aug
inferno13–9-0.0415%24 Aug
mirage4–13-0.0953%22 Aug
inferno13–60.0123%22 Aug
dust213–10-0.077%22 Aug
inferno3–4-0.037%22 Aug
nuke13–30.0332%22 Aug
dust24–13-0.0333%22 Aug
inferno9–13-0.0136%22 Aug
dust213–110.0216%22 Aug
cache13–40.0523%22 Aug
mirage13–9-0.0810%22 Aug
mirage9–130.0627%19 Aug
inferno11–130.0024%19 Aug
cache13–110.0628%19 Aug
cache15–15-0.0315%19 Aug
mirage13–00.00100%19 Aug
nuke13–40.0720%19 Aug
dust210–13-0.0929%19 Aug
ancient5–13-0.0124%18 Aug
inferno13–50.0726%18 Aug
inferno13–3-0.0121%18 Aug
inferno5–13-0.0219%18 Aug
dust29–130.0124%18 Aug
dust23–13-0.0929%18 Aug
mirage13–8-0.0217%16 Aug
cache14–16-0.0118%16 Aug
mirage15–150.0015%15 Aug
mirage13–3-0.039%15 Aug
dust213–8-0.0223%15 Aug
mirage13–30.0116%15 Aug
cache16–12-0.0213%15 Aug
dust213–80.0124%15 Aug
inferno13–100.0227%15 Aug
inferno9–130.0111%15 Aug
mirage13–100.0222%15 Aug
mirage13–10-0.0531%13 Aug
dust213–100.0325%13 Aug
mirage16–120.0925%13 Aug
inferno10–13-0.0124%13 Aug
mirage6–130.0122%10 Aug
mirage13–50.0819%10 Aug
mirage13–8-0.0141%10 Aug
inferno13–90.0721%4 Aug
cache13–110.0421%4 Aug
nuke7–13-0.0721%4 Aug
mirage13–100.0314%4 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 →