† Flux

† Flux — CS2 Stats

76561198405941170[U:1:445675442]Steam profile ↗✓ No bans

1,957Tracked matches45%Win rate2020Tracked since
2,431Hours in CS46Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating16,345Purple band · top ~23% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+26Premier CS Rating · 16,319 → 16,345

Rating over time

Premier CS Rating: 16,345 +1,345 30 Aug – 11 Oct · 29 days played
12,93018,588peak 18,58830 Aug11 Oct
18,588Peak Premier in tracked matches
28Days played since 2026-08-30

Premier CS Rating

  • 2,243 below peak (18,588)
  • +1,346 over 30 days · improving
  • Next: Pink band at 20,000 — 3,655 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches190——
Win rate41%——
K/D1.16——
Headshot %63%——

Measured 7 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate48.9%41.8%42.7%above
Shot accuracy9.5%12.2%11.3%1.8% short
Kill/death ratio1.100.980.99above
Match win rate33.2%43.3%43.9%10.7% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG† FluxFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,345 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning65
Utility35

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLLWWLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −10ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 524ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 561ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 566ms

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 (+1.9 against its own average).

Aim8.3
Utility3.5
Positioning6.5
Opening Duels3.9
Clutch4.4

Strong CT-side openerLimited 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

donk

Plays most like donk 85% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 64% T opening-duel success — entries that actually open the round.

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. 568ms 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

Aim8.3
Positioning6.5
Utility3.5
Mechanics7.1
Opening Duels7.2
Win Impact3.3

Composite 6.4/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time570ms−46ms
first ⅓ avg 617ms → last ⅓ avg 570ms
Headshot accuracy26.3%−0.4%
first ⅓ avg 26.7% → last ⅓ avg 26.3%

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 · 11–13 · anubis, 18 Sept →
41%Best headshot accuracy · 13–8 · nuke, 12 Sept →
391msFastest reaction time · 5–13 · mirage, 11 Oct →
13–2Biggest win · dust2, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 63% over 24anubisWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2415–963%0.00
mirageC187–1139%-0.01
nukeA169–756%0.02
infernoB136–746%-0.00
anubisD124–833%0.01
cacheB105–550%-0.00
ancientA74–357%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,917Lifetime kills
1.10K/D · Top 25% of Level 3 players
4,831Matches
33.2%Match win rate
48.9%Headshot % · Top 25% of Level 3 players
9.5%Shot accuracy
7,312MVPs
1,344Hours (in match)
1,802Bombs planted
703Bombs defused

Most-used weapons

AK-4720,762
AWP9,110
MP72,112
SG 5531,497
AUG1,459

Lifetime map wins

7,105dust2
2,927inferno
2,913nuke
1,196train
436vertigo
208cbble
199ar_shoots
167lake

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

Faceit stats

Combat

22Matches
32%Win rate
0.81Avg K/D
77.2ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
7%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%0.9115.2
Anubis425%0.9216.3
Dust2367%1.0316.0
Nuke20%1.3018.5
Ancient20%0.356.0
Inferno250%0.8213.5
Train1100%0.8618.0

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.

25.7%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.9%Spray accuracy
82.0%Counter-strafing
7.4°Preaim
568msReaction time
63.7%T opening success
53.6%CT opening success
0.61Enemies flashed / flash
4.9%Flash assists
7.97HE damage / grenade
3.64Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6355 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0235%11 Oct →
mirage5–13-0.0516%11 Oct →
nuke16–13-0.0019%11 Oct →
inferno13–100.0224%10 Oct →
ancient11–13-0.0426%10 Oct →
mirage13–3-0.0224%10 Oct →
dust28–13-0.0625%10 Oct →
mirage9–130.0129%9 Oct →
nuke7–130.0340%9 Oct →
inferno6–130.0126%9 Oct →
mirage13–11-0.0328%9 Oct →
dust213–8-0.0422%8 Oct →
anubis13–16-0.0220%8 Oct →
mirage6–13-0.0026%7 Oct →
ancient15–15-0.0222%7 Oct →
dust213–4-0.0115%7 Oct →
cache13–10-0.0632%7 Oct →
mirage13–110.0325%7 Oct →
nuke8–13-0.0532%6 Oct →
ancient5–130.0531%6 Oct →
inferno8–130.0523%6 Oct →
nuke13–70.0727%6 Oct →
mirage13–40.0533%6 Oct →
nuke13–80.0218%6 Oct →
anubis13–6-0.0619%5 Oct →
cache11–13-0.0530%5 Oct →
mirage8–13-0.0513%4 Oct →
cache6–13-0.0235%4 Oct →
cache5–13-0.0624%4 Oct →
anubis13–80.0932%4 Oct →
inferno11–13-0.0034%3 Oct →
dust213–20.0222%3 Oct →
mirage8–13-0.0538%3 Oct →
dust213–80.0116%3 Oct →
cache13–80.0219%3 Oct →
dust211–13-0.0219%2 Oct →
nuke13–80.1130%2 Oct →
nuke9–13-0.0322%2 Oct →
inferno3–13-0.0625%2 Oct →
dust25–13-0.0811%1 Oct →
anubis2–13-0.0820%1 Oct →
inferno5–130.0326%1 Oct →
mirage7–13-0.0420%1 Oct →
inferno16–13-0.0021%30 Sept →
ancient13–30.0429%30 Sept →
ancient13–5-0.0123%30 Sept →
inferno13–6-0.0318%30 Sept →
ancient13–3-0.0524%30 Sept →
inferno13–50.0026%29 Sept →
mirage8–130.0730%29 Sept →
mirage13–110.0313%29 Sept →
cache11–13-0.0218%29 Sept →
dust216–140.0027%28 Sept →
nuke9–13-0.0625%28 Sept →
cache13–30.0927%28 Sept →
anubis3–130.0525%28 Sept →
mirage13–60.0320%27 Sept →
nuke13–80.0433%27 Sept →
dust216–12-0.0325%27 Sept →
cache0–5-0.0231%27 Sept →
cache13–90.0520%27 Sept →
nuke9–130.0324%25 Sept →
nuke12–160.0432%25 Sept →
dust213–11-0.0120%24 Sept →
dust24–13-0.0623%24 Sept →
inferno15–15-0.0623%23 Sept →
dust211–13-0.0529%23 Sept →
cache13–80.0129%23 Sept →
nuke6–13-0.0430%23 Sept →
inferno7–13-0.0422%22 Sept →
dust213–30.1136%22 Sept →
nuke16–140.0532%21 Sept →
mirage13–10-0.0431%21 Sept →
dust213–80.0218%20 Sept →
dust213–50.0431%20 Sept →
dust20–110.0118%20 Sept →
inferno13–70.0225%20 Sept →
dust213–110.0434%19 Sept →
anubis10–130.0118%19 Sept →
dust213–80.0937%18 Sept →
nuke13–110.0128%18 Sept →
mirage11–13-0.0123%18 Sept →
dust213–40.0724%18 Sept →
dust23–130.0024%18 Sept →
dust216–12-0.0328%18 Sept →
inferno16–120.0327%18 Sept →
anubis11–130.1528%18 Sept →
anubis13–90.0523%16 Sept →
anubis13–9-0.0214%16 Sept →
mirage15–15-0.0130%16 Sept →
dust213–50.0931%16 Sept →
ancient13–70.0231%15 Sept →
nuke13–90.0729%15 Sept →
dust21–13-0.1518%14 Sept →
anubis3–13-0.0430%14 Sept →
mirage11–13-0.0218%14 Sept →
anubis10–130.0229%13 Sept →
dust213–160.0222%13 Sept →
nuke13–80.1141%12 Sept →
mirage5–13-0.0224%12 Sept →

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 →

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