FLEΞK

FLEΞK — CS2 Stats

CX76561198201542313[U:1:241276585]Steam profile ↗✓ No bans

3,970Tracked matches52%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating26,418Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#10892 of 261531 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 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: 26,418 +1,418 24 Jul – 8 Nov · 42 days played
24,85428,688peak 28,68824 Jul8 Nov
28,962Peak Premier in tracked matches
44Days played since 2026-07-24

Premier CS Rating

  • 2,270 below peak (28,688)
  • +108 over 30 days · steady
  • -2,155 over 90 days
  • Next: Gold band at 30,000 — 3,582 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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

Share this profile

CSDB.GGFLEΞKFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,418 · Red bandcsdb.gg/stats

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Performance scores

Aim74
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLLWWLLWWT

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −0.0pp headshot accuracy · +9ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 582ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim7.4
Utility6.1
Positioning5.9
Opening Duels2.0
Clutch4.8

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

iM

Plays most like iM 86% 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

Areas to improve

CT openings. Opening success drops from 56% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim7.4
Positioning5.9
Utility6.1
Mechanics7.1
Opening Duels3.4
Win Impact5.6

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time607ms−6ms
first ⅓ avg 612ms → last ⅓ avg 607ms
Headshot accuracy19.0%−0.4%
first ⅓ avg 19.4% → last ⅓ avg 19.0%

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 · 13–9 · mirage, 4 Sept →
50%Best headshot accuracy · 1–13 · ancient, 19 Sept →
430msFastest reaction time · 0–13 · inferno, 8 Aug →
13–2Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
4–4In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 81% over 16mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientB2512–1348%0.00
cacheC198–1142%-0.02
anubisS1613–381%0.02
dust2B147–750%-0.01
mirageC135–838%0.01
infernoS75–271%-0.03
nukeB63–350%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,678Matches
52%Win rate
1.02Avg K/D
83.6ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient11557%1.1916.8
Anubis6450%1.0217.3
Nuke5153%1.0617.8
Inferno5052%0.9115.3
Dust23653%0.9614.6
Mirage3647%0.9114.3
Vertigo2060%1.3917.9
Cache1759%0.8014.1

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.

18.2%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.0%Spray accuracy
81.7%Counter-strafing
9.2°Preaim
609msReaction time
56.2%T opening success
30.7%CT opening success
0.67Enemies flashed / flash
4.4%Flash assists
11.78HE damage / grenade
10.13Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.6716% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0520%8 Nov →
mirage10–13-0.0415%8 Nov →
dust21–13-0.0838%8 Nov →
mirage13–70.0415%5 Nov →
anubis13–90.0212%5 Nov →
mirage5–13-0.0016%4 Nov →
mirage4–13-0.0125%1 Nov →
anubis13–6-0.0414%1 Nov →
anubis13–5-0.0117%1 Nov →
mirage15–150.0618%1 Nov →
dust213–40.0818%24 Oct →
anubis13–60.0410%15 Oct →
dust213–7-0.0413%15 Oct →
ancient13–60.0022%15 Oct →
cache14–16-0.0512%15 Oct →
anubis13–30.0417%3 Oct →
ancient13–30.1123%3 Oct →
cache16–12-0.0716%3 Oct →
cache10–130.0438%29 Sept →
ancient8–130.0824%29 Sept →
ancient13–80.0111%28 Sept →
mirage8–130.0221%27 Sept →
dust213–16-0.0213%26 Sept →
inferno10–13-0.0810%19 Sept →
ancient1–13-0.0450%19 Sept →
cache8–13-0.0119%17 Sept →
mirage4–13-0.0418%17 Sept →
ancient13–9-0.0114%17 Sept →
mirage13–9-0.0018%15 Sept →
cache13–7-0.0315%15 Sept →
anubis13–16-0.0210%13 Sept →
cache11–130.0321%13 Sept →
nuke13–80.1225%11 Sept →
nuke8–130.0119%7 Sept →
ancient12–16-0.0316%7 Sept →
dust22–130.0018%6 Sept →
cache0–13-0.0315%6 Sept →
nuke9–130.0224%5 Sept →
ancient7–13-0.0612%5 Sept →
cache8–130.0225%5 Sept →
mirage13–90.1521%4 Sept →
nuke13–70.0523%4 Sept →
cache13–60.0331%4 Sept →
ancient13–70.0322%1 Sept →
anubis16–140.0622%1 Sept →
dust213–8-0.0420%31 Aug →
ancient8–130.0219%30 Aug →
anubis9–13-0.0616%23 Aug →
cache13–5-0.069%23 Aug →
anubis13–16-0.0214%21 Aug →
ancient11–130.0212%21 Aug →
nuke5–13-0.0319%21 Aug →
cache1–13-0.077%21 Aug →
ancient4–13-0.0720%20 Aug →
cache1–13-0.088%17 Aug →
inferno13–100.0017%17 Aug →
inferno13–100.0215%16 Aug →
ancient13–60.019%15 Aug →
dust24–13-0.0314%12 Aug →
ancient10–130.0820%12 Aug →
mirage2–13-0.069%10 Aug →
anubis13–8-0.047%10 Aug →
ancient9–13-0.0517%10 Aug →
dust213–100.0712%10 Aug →
ancient13–11-0.0413%10 Aug →
mirage13–30.0220%10 Aug →
nuke13–90.0916%9 Aug →
anubis13–80.0412%9 Aug →
cache10–13-0.0110%9 Aug →
ancient13–60.0320%9 Aug →
inferno0–13-0.0911%8 Aug →
ancient16–13-0.0212%7 Aug →
anubis13–70.0527%7 Aug →
anubis13–50.1122%6 Aug →
anubis13–80.1017%6 Aug →
ancient5–13-0.0515%5 Aug →
anubis13–90.0521%5 Aug →
inferno13–7-0.0113%4 Aug →
cache13–80.0315%4 Aug →
mirage13–10-0.0227%4 Aug →
ancient9–13-0.0123%4 Aug →
cache13–8-0.0046%3 Aug →
dust213–5-0.0730%3 Aug →
inferno13–11-0.0121%3 Aug →
dust28–130.039%3 Aug →
ancient13–60.0519%3 Aug →
cache13–9-0.065%3 Aug →
cache8–13-0.0529%2 Aug →
cache7–13-0.0019%1 Aug →
ancient13–10-0.0521%1 Aug →
inferno13–2-0.0343%1 Aug →
dust213–30.0317%31 Jul →
dust213–8-0.0117%30 Jul →
cache13–70.0518%25 Jul →
anubis13–11-0.0324%25 Jul →
ancient15–15-0.0121%25 Jul →
ancient8–130.0213%25 Jul →
dust210–13-0.0710%25 Jul →
dust214–16-0.0319%24 Jul →
ancient13–90.0813%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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