blu

blu — CS2 Stats

DE76561198004039473[U:1:43773745]Steam profile ↗✓ No bans

2,360Tracked matches43%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
CSDB Leaderboard#10419 of 258953 tracked
FaceitLevel 9 · 2,126 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 26,416 +418 13 Aug – 1 Oct · 17 days played
25,99827,974peak 27,97413 Aug1 Oct
Faceit ELO: 2,126 +0 28 Aug – 22 Sept · 5 observations
2,1262,126peak 2,12628 Aug22 Sept
27,974Peak Premier in tracked matches
2,126Highest Faceit ELO seen on CSDB
35Days played since 2026-07-06

Faceit ELO

  • At peak — 2,126
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 374 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGbluFACEITLevel 9 · 2,126 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO2,126csdb.gg/stats

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Performance scores

Aim79
Positioning62
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLLLWWWWLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.3pp headshot accuracy · +15ms reaction

Win rate 0pp 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

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 (+1.3 against its own average).

Aim7.9
Utility4.4
Positioning6.2
Opening Duels4.6
Clutch4.6

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 558ms 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

Aim7.9
Positioning6.2
Utility4.4
Mechanics4.8
Opening Duels5.5
Win Impact2.8

Composite 5.8/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time555ms+8ms
first ⅓ avg 547ms → last ⅓ avg 555ms
Headshot accuracy20.2%+3.9%
first ⅓ avg 16.4% → last ⅓ avg 20.2%

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

0.18Best match rating · 13–0 · dust2, 29 Oct →
45%Best headshot accuracy · 3–10 · dust2, 1 Oct →
375msFastest reaction time · 13–11 · cache, 14 Aug →
13–0Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
11–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 75% over 8nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.01
dust2B2411–1346%0.01
infernoC177–1041%0.01
cacheA159–660%-0.00
ancientS86–275%-0.00
nukeC52–340%0.02
anubis—21–150%0.04
train—21–150%0.03
fachwerk—10–10%0.06
overpass—10–10%-0.00

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.

Faceit stats

Combat

654Matches
54%Win rate
1.00Avg K/D
78.0ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5064%0.9414.6
Dust23549%0.9716.1
Ancient2748%0.9114.6
Nuke2752%1.0716.4
Overpass1050%0.9815.5
Mirage1050%1.0617.3
Cache580%1.1814.6
Vertigo333%0.9516.7

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.

19.3%Headshot accuracy
37.4%Accuracy (enemy spotted)
42.1%Spray accuracy
71.5%Counter-strafing
8.5°Preaim
558msReaction time
55.3%T opening success
48.8%CT opening success
0.64Enemies flashed / flash
8.2%Flash assists
8.51HE damage / grenade
4.14Flashes / 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
anubis11–13-0.0216%29 Oct →
cache5–13-0.0422%29 Oct →
mirage2–13-0.0928%29 Oct →
dust213–00.1817%29 Oct →
cache13–100.049%25 Oct →
dust213–60.0115%25 Oct →
inferno13–30.0932%25 Oct →
mirage10–13-0.0321%25 Oct →
mirage13–8-0.0113%22 Oct →
cache11–13-0.0011%22 Oct →
inferno5–13-0.0715%18 Oct →
cache13–8-0.033%18 Oct →
inferno13–80.0113%18 Oct →
cache11–13-0.0321%18 Oct →
mirage8–13-0.0424%17 Oct →
inferno13–40.0716%16 Oct →
mirage13–11-0.0526%16 Oct →
inferno10–130.0115%15 Oct →
dust28–13-0.0317%15 Oct →
dust213–110.0119%11 Oct →
cache13–40.0210%10 Oct →
mirage2–13-0.0525%10 Oct →
inferno6–13-0.0516%5 Oct →
inferno10–130.1220%2 Oct →
dust26–130.0723%2 Oct →
dust213–11-0.0525%2 Oct →
mirage13–7-0.0123%2 Oct →
dust23–10-0.0045%1 Oct →
dust27–13-0.0632%1 Oct →
ancient5–13-0.0022%28 Sept →
cache13–7-0.0013%28 Sept →
cache4–13-0.0135%28 Sept →
dust27–50.0626%7 Sept →
inferno11–13-0.0524%5 Sept →
nuke8–13-0.0618%5 Sept →
mirage13–110.0111%3 Sept →
dust26–13-0.0821%3 Sept →
cache13–0-0.0215%3 Sept →
dust212–120.0017%3 Sept →
inferno3–13-0.0914%2 Sept →
dust213–50.0619%2 Sept →
mirage0–13-0.0717%30 Aug →
dust213–80.0221%30 Aug →
nuke13–100.0928%30 Aug →
cache4–130.0234%29 Aug →
dust212–16-0.058%29 Aug →
dust24–130.0430%29 Aug →
inferno13–100.0022%24 Aug →
ancient13–90.0118%24 Aug →
mirage0–13-0.0633%24 Aug →
mirage13–110.0217%23 Aug →
train1–13-0.0524%21 Aug →
cache8–13-0.0816%19 Aug →
fachwerk10–130.0619%19 Aug →
anubis13–60.0918%19 Aug →
ancient13–110.0620%19 Aug →
mirage13–20.1620%17 Aug →
inferno12–120.0823%17 Aug →
mirage12–12-0.0318%17 Aug →
mirage7–13-0.0413%16 Aug →
ancient13–8-0.0711%15 Aug →
nuke3–11-0.0118%15 Aug →
mirage13–3-0.0311%15 Aug →
mirage4–13-0.0314%15 Aug →
dust213–100.0425%15 Aug →
mirage7–130.0421%15 Aug →
ancient13–10-0.0418%14 Aug →
mirage13–20.0823%14 Aug →
cache13–110.0123%14 Aug →
mirage3–13-0.095%14 Aug →
inferno13–40.047%14 Aug →
dust213–90.0530%14 Aug →
inferno13–100.0116%14 Aug →
dust29–130.0629%14 Aug →
ancient13–60.0416%13 Aug →
cache13–110.0314%13 Aug →
ancient13–80.0223%13 Aug →
mirage13–90.0212%13 Aug →
cache13–3-0.0126%13 Aug →
dust212–12-0.0223%13 Aug →
overpass8–13-0.007%12 Aug →
train13–60.1014%12 Aug →
mirage13–60.0116%11 Aug →
dust28–13-0.0315%11 Aug →
inferno12–12-0.0313%11 Aug →
dust28–13-0.0416%2 Aug →
inferno5–130.0221%2 Aug →
nuke0–2-0.010%24 Jul →
dust22–13-0.0217%24 Jul →
nuke13–90.0818%24 Jul →
dust213–70.0626%24 Jul →
mirage16–140.0211%24 Jul →
mirage7–4-0.0213%19 Jul →
ancient10–13-0.039%19 Jul →
mirage0–3-0.030%19 Jul →
inferno15–150.0114%19 Jul →
cache13–100.0324%17 Jul →
inferno13–110.0026%17 Jul →
dust213–8-0.0115%17 Jul →
mirage13–80.0316%6 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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