fett1s

fett1s — CS2 Stats

GB76561198122760435[U:1:162494707]Steam profile ↗✓ No bans

2,310Tracked matches52%Win rate2020Tracked since
CSDB Rating7.4 StrongSupport
FaceitLevel 10 · 3,064 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,064 → 3,064
+3Tracked matches · now 2,310
−3.4ppWin rate · 55.2% → 51.7%
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. 66 days played since 25 Jan 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 28,737 +2,057 25 Jan25 Apr · 43 days played
26,68031,008peak 31,00825 Jan25 Apr
31,008Peak Premier in tracked matches
3,064Highest Faceit ELO seen on CSDB
66Days played since 2026-01-25

Faceit ELO

  • At peak — 3,064
  • Next: 3,500 ELO at 3,500 436 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-17
  • 2,500 ELO first seen 2026-09-17

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.GGfett1sFACEITLevel 10 · 3,064 ELOSTANDINGTop 12.4% of rankedPEAK ELO3,064csdb.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

Aim82
Positioning65
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateLWLWWWWLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +6.8pp 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 489ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 528ms

Last 20

  • 1271 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 536ms

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 (+1.2 against its own average).

Aim8.2
Utility6.5
Positioning6.5
Opening Duels5.1
Clutch3.2

Strong CT-side opener

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

jL

Plays most like jL 92% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.2
Positioning6.5
Utility6.5
Mechanics7.9
Opening Duels5.3
Win Impact5.6

Composite 7.4/10 (Strong), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time551ms−34ms
first ⅓ avg 585ms → last ⅓ avg 551ms
Headshot accuracy22.8%+4.1%
first ⅓ avg 18.8% → last ⅓ avg 22.8%

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

0.25Best match rating · 9–2 · nuke, 12 Aug
67%Best headshot accuracy · 2–0 · ancient, 7 Feb
391msFastest reaction time · 8–13 · anubis, 17 Sept
13–1Biggest win · dust2, 14 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
117In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 69% over 13infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC1971237%0.03
anubisB178947%0.02
infernoC145936%0.02
mirageS139469%0.03
ancientC125742%0.01
cacheA95456%0.02
overpassS64267%0.04
dust231233%-0.01
vertigo21150%0.01
boulder110100%0.05
fachwerk110100%0.04
office110100%0.07
warden110100%0.03
alpine1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,241Matches
55%Win rate
1.19Avg K/D
77.1ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke12363%1.1615.5
Ancient10459%1.0514.1
Anubis9152%0.9713.6
Overpass5368%1.2615.4
Train5260%1.0314.6
Mirage3944%1.0213.3
Inferno3155%0.9913.7
Vertigo2070%0.9915.1

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.

20.9%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.7%Spray accuracy
85.5%Counter-strafing
9.3°Preaim
572msReaction time
42.6%T opening success
59.8%CT opening success
0.66Enemies flashed / flash
10.6%Flash assists
8.84HE damage / grenade
11.78Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0529%17 Sept
vertigo6–10.0638%17 Sept
inferno0–13-0.0250%17 Sept
dust213–10.0320%14 Sept
cache13–10.0013%14 Sept
mirage13–40.0224%11 Sept
nuke9–20.2528%12 Aug
inferno3–130.0522%10 Aug
mirage13–11-0.0517%10 Aug
cache10–13-0.0117%7 Aug
nuke0–3-0.030%5 Aug
cache9–13-0.0610%5 Aug
vertigo12–12-0.0417%31 Jul
ancient7–13-0.0724%31 Jul
cache13–100.1020%28 Jul
nuke13–50.0642%28 Jul
cache13–110.0318%24 Jul
cache13–50.0521%24 Jul
boulder13–90.0516%10 Jul
fachwerk13–100.0422%10 Jul
mirage10–130.0119%8 Jun
mirage7–130.0227%1 Jun
ancient9–13-0.0510%30 May
dust27–13-0.0722%30 May
cache6–13-0.0220%20 May
nuke16–13-0.0117%18 May
inferno13–9-0.0228%16 May
mirage13–8-0.0120%11 May
cache13–30.0223%1 May
cache11–130.0330%29 Apr
nuke4–130.0920%25 Apr
nuke0–20.0750%23 Apr
ancient13–30.0021%17 Apr
anubis13–80.0423%9 Apr
mirage11–130.0220%9 Apr
nuke11–130.0413%31 Mar
inferno9–130.0731%29 Mar
nuke8–13-0.0327%29 Mar
office13–90.0729%28 Mar
nuke5–13-0.0223%27 Mar
ancient5–13-0.0338%25 Mar
anubis8–130.0432%25 Mar
nuke9–13-0.015%23 Mar
inferno7–130.019%22 Mar
nuke12–120.0418%21 Mar
warden13–90.0335%21 Mar
overpass8–130.0418%16 Mar
nuke0–5-0.090%14 Mar
ancient5–130.0423%11 Mar
anubis9–130.0420%10 Mar
anubis5–13-0.0115%10 Mar
ancient13–90.0339%9 Mar
mirage13–70.0315%8 Mar
overpass8–13-0.0427%7 Mar
mirage13–40.0721%6 Mar
alpine8–130.0116%6 Mar
inferno5–130.0719%6 Mar
mirage13–110.0123%6 Mar
nuke16–140.0715%6 Mar
inferno10–130.0414%5 Mar
anubis13–6-0.0118%5 Mar
nuke13–90.1217%4 Mar
inferno9–70.0429%3 Mar
anubis5–13-0.0222%26 Feb
anubis1–13-0.080%25 Feb
mirage13–90.1224%24 Feb
nuke11–130.0333%22 Feb
dust29–130.0223%21 Feb
anubis13–30.0528%21 Feb
nuke16–140.0613%21 Feb
anubis6–13-0.0617%19 Feb
inferno13–90.0219%19 Feb
ancient5–130.1010%19 Feb
overpass13–90.066%19 Feb
inferno13–80.0422%16 Feb
nuke5–13-0.0029%15 Feb
anubis13–60.068%15 Feb
overpass13–70.0218%14 Feb
anubis11–130.0222%12 Feb
inferno8–13-0.0219%12 Feb
mirage13–70.1317%11 Feb
inferno13–11-0.0212%10 Feb
overpass16–120.0514%9 Feb
mirage5–13-0.0317%9 Feb
ancient13–4-0.0315%9 Feb
inferno10–13-0.0112%8 Feb
ancient13–11-0.0229%7 Feb
ancient2–00.0767%7 Feb
nuke13–100.0117%5 Feb
anubis13–60.0517%5 Feb
inferno3–130.0616%4 Feb
nuke3–13-0.068%1 Feb
anubis11–130.0415%1 Feb
anubis13–20.1120%31 Jan
overpass13–30.1020%30 Jan
ancient9–13-0.0424%28 Jan
anubis13–11-0.0418%26 Jan
anubis16–140.0415%25 Jan
ancient9–130.0617%25 Jan
mirage13–40.0816%25 Jan

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →