flX

flX — CS2 Stats

DE76561198138396023[U:1:178130295]Steam profile ↗✓ No bans

523Tracked matches56%Win rate2020Tracked since
1,234Hours in CS
CSDB Rating4.8 DevelopingSupport
CSDB Leaderboard#99346 of 259624 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,981 -461 27 Feb – 2 Jul · 16 days played
18,57320,166peak 20,16627 Feb2 Jul
20,532Peak Premier in tracked matches
31Days played since 2026-02-27

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.3%43.8%44.8%3.5% short
Shot accuracy14.8%12.0%12.4%above
Kill/death ratio0.921.021.030.11 short
Match win rate42.7%44.7%45.2%2.6% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGflXFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning49
Utility56

0–100 skill scores via Leetify.

Recent form

COLD51–38–11Last 10051%Win rateTLWWLLWTTL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +3.8pp headshot accuracy · −22ms reaction

Win rate −10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

Last 20

  • 7–7–6 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 591ms

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).

Aim5.3
Utility5.6
Positioning4.9
Opening Duels2.0

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 78% 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

Areas to improve

Reaction time. 601ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.3
Positioning4.9
Utility5.6
Mechanics4.3
Opening Duels0.6
Win Impact7.0

Composite 4.8/10 (Developing), 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 -0.00 → last ⅓ avg 0.00
Reaction time591ms−66ms
first ⅓ avg 657ms → last ⅓ avg 591ms
Headshot accuracy16.3%−1.9%
first ⅓ avg 18.2% → last ⅓ avg 16.3%

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

0.25Best match rating · 13–2 · overpass, 31 Mar →
42%Best headshot accuracy · 13–6 · office, 31 Mar →
422msFastest reaction time · 9–6 · poseidon, 28 Jun →
13–1Biggest win · ancient, 26 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 73% over 11anubisWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%-0.00
anubisD154–1127%-0.03
poseidonA116–555%0.04
overpassS118–373%0.01
ancientS96–367%0.02
nukeC83–538%-0.01
cacheA74–357%-0.00
eldoradoC52–340%0.03
fachwerk—31–233%-0.01
shelter—21–150%0.05
boulder—21–150%0.01
vertigo—21–150%-0.01
italy—22–0100%-0.04
alpine—21–150%0.05
debris—10–10%-0.10
mirage—11–0100%0.02
dust2—11–0100%-0.05
office—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,816Lifetime kills
0.92K/D
3,668Matches
42.7%Match win rate
41.3%Headshot %
14.8%Shot accuracy · Top 50% of Level 5 players
8,597MVPs
1,234Hours (in match)
5,695Bombs planted
2,204Bombs defused

Most-used weapons

AK-4717,521
AWP5,025
P901,706
FAMAS1,217
MP71,108

Lifetime map wins

6,236inferno
3,882dust2
2,393nuke
913cbble
663train
540vertigo
282lake
189bank

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

Faceit stats

Combat

53Matches
51%Win rate
0.97Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.8713.0
Anubis10%1.0017.0
Inferno1100%2.0024.0
Overpass10%0.9314.0

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.

15.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
41.3%Spray accuracy
69.4%Counter-strafing
12.1°Preaim
601msReaction time
30.2%T opening success
34.7%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
10.13HE damage / grenade
9.88Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1043° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4926 — below the 0.5 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
shelter12–120.0421%26 Aug →
cache2–13-0.0529%26 Aug →
ancient13–10.1322%26 Aug →
cache13–80.0219%26 Jul →
anubis11–13-0.0413%26 Jul →
fachwerk6–13-0.029%24 Jul →
shelter13–100.0520%24 Jul →
fachwerk12–12-0.0117%24 Jul →
boulder12–120.0317%24 Jul →
nuke5–13-0.0629%16 Jul →
anubis10–13-0.0511%16 Jul →
eldorado9–50.0612%16 Jul →
eldorado8–8-0.0127%16 Jul →
poseidon3–9-0.1810%16 Jul →
eldorado7–9-0.0612%16 Jul →
poseidon8–80.0522%16 Jul →
boulder13–7-0.0122%13 Jul →
fachwerk13–9-0.0125%13 Jul →
ancient16–14-0.0213%12 Jul →
anubis15–15-0.036%12 Jul →
inferno13–90.0418%12 Jul →
cache10–13-0.0322%11 Jul →
poseidon9–70.0617%11 Jul →
eldorado8–80.0424%11 Jul →
eldorado9–30.1120%11 Jul →
debris4–9-0.1012%11 Jul →
ancient11–130.0010%10 Jul →
inferno13–20.085%10 Jul →
nuke16–13-0.0010%2 Jul →
cache13–8-0.107%2 Jul →
cache13–10.1519%2 Jul →
nuke13–16-0.019%30 Jun →
overpass16–130.0611%30 Jun →
anubis11–13-0.0417%30 Jun →
inferno8–13-0.0013%30 Jun →
poseidon9–40.1620%29 Jun →
poseidon9–20.216%29 Jun →
poseidon9–60.026%29 Jun →
poseidon2–9-0.1423%29 Jun →
poseidon9–40.1218%28 Jun →
poseidon6–90.0423%28 Jun →
poseidon9–6-0.0218%28 Jun →
poseidon8–80.1124%28 Jun →
inferno5–13-0.0317%7 Jun →
vertigo13–80.0419%7 Jun →
vertigo12–12-0.0713%4 Jun →
anubis13–6-0.0619%1 Jun →
anubis13–10-0.0016%28 May →
anubis4–13-0.038%25 May →
mirage13–90.0218%25 May →
inferno13–80.0526%24 May →
inferno13–8-0.0427%24 May →
ancient10–13-0.0917%23 May →
inferno3–13-0.0721%23 May →
dust213–7-0.0510%23 May →
ancient13–10.1221%22 May →
overpass6–130.0015%22 May →
inferno2–13-0.0412%22 May →
cache13–10-0.0110%11 May →
anubis2–13-0.128%11 May →
cache7–13-0.0217%10 May →
inferno16–120.0420%3 Apr →
ancient13–11-0.0121%3 Apr →
inferno8–13-0.0714%3 Apr →
anubis10–13-0.0518%3 Apr →
overpass13–20.2525%31 Mar →
anubis11–130.0124%31 Mar →
office13–60.0542%31 Mar →
overpass16–140.0118%30 Mar →
nuke13–7-0.0312%30 Mar →
italy13–11-0.0627%30 Mar →
italy13–3-0.0219%30 Mar →
alpine13–50.1316%30 Mar →
overpass13–10-0.0010%12 Mar →
inferno8–13-0.0317%12 Mar →
nuke8–13-0.0326%12 Mar →
nuke12–160.0214%12 Mar →
nuke13–100.007%12 Mar →
alpine9–13-0.0316%11 Mar →
overpass13–11-0.0119%11 Mar →
overpass7–13-0.0620%11 Mar →
ancient13–6-0.0115%7 Mar →
anubis6–13-0.0522%7 Mar →
overpass13–110.0113%7 Mar →
nuke11–130.0814%7 Mar →
overpass9–13-0.0518%7 Mar →
inferno12–60.0517%7 Mar →
anubis13–110.0616%4 Mar →
inferno3–130.0026%4 Mar →
inferno13–11-0.0117%4 Mar →
anubis9–13-0.0516%3 Mar →
overpass13–5-0.0624%3 Mar →
overpass13–60.0011%3 Mar →
ancient5–13-0.0615%3 Mar →
ancient13–100.106%3 Mar →
inferno15–15-0.0818%3 Mar →
inferno8–130.0227%27 Feb →
anubis13–10-0.0425%27 Feb →
anubis15–150.0322%27 Feb →
inferno13–70.0513%27 Feb →

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 →

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