f4te

f4te — CS2 Stats

76561198084806791[U:1:124541063]Steam profile ↗✓ No bans

4,258Tracked matches60%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating28,272Top 5% of 204,793 CSDB-tracked playersRed band · top ~1.4% of ranked players (population est.)
CSDB Leaderboard#2110 of 251863 tracked
FaceitLevel 9 · 1,785 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−167Premier CS Rating · 28,439 → 28,272

Rating over time

Premier CS Rating: 28,272 +363 1 Sept – 15 Oct · 24 days played
26,25528,461peak 28,4611 Sept15 Oct
Faceit ELO: 1,785 +0 2 Sept – 18 Sept · 3 observations
1,7851,785peak 1,7852 Sept18 Sept
28,534Peak Premier in tracked matches
1,785Highest Faceit ELO seen on CSDB
27Days played since 2026-08-30

Faceit ELO

  • At peak — 1,785
  • Next: Level 10 at 2,001 — 216 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier CS Rating

  • 189 below peak (28,461)
  • +1,285 over 30 days · improving
  • Next: Gold band at 30,000 — 1,728 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

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.GGf4teFACEITLevel 9 · 1,785 ELOSTANDINGTop 20.7% of rankedPREMIER28,272 · Red bandPEAK ELO1,785csdb.gg/stats

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Performance scores

Aim89
Positioning67
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWLLWLLWW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −4.5pp headshot accuracy · +22ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 527ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 516ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 505ms

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 (+2.5 against its own average).

Aim8.9
Utility4.3
Positioning6.7
Opening Duels4.4
Clutch1.4

Sharp aimer

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 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.9
Positioning6.7
Utility4.3
Mechanics6.9
Opening Duels5.2
Win Impact8.3

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 0.01 → last ⅓ avg 0.02
Reaction time519ms−40ms
first ⅓ avg 559ms → last ⅓ avg 519ms
Headshot accuracy25.4%−0.7%
first ⅓ avg 26.2% → last ⅓ avg 25.4%

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

0.42Best match rating · 9–0 · inferno, 29 Sept →
53%Best headshot accuracy · 8–13 · dust2, 12 Sept →
344msFastest reaction time · 9–4 · inferno, 5 Oct →
13–0Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA1710–759%0.05
vertigoB168–850%0.02
cacheB158–753%0.02
dust2D123–925%0.01
anubisA116–555%-0.01
mirageC104–640%0.03
nukeA74–357%0.02
overpassA53–260%0.07
ancientC52–340%-0.01
train—11–0100%0.13
office—11–0100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

807Matches
52%Win rate
1.04Avg K/D
78.9ADR
48%Headshot %

Clutches & streaks

27%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6247%1.0116.5
Inferno5145%1.0216.8
Anubis4749%1.0216.0
Ancient2854%1.0114.4
Dust22152%0.9613.8
Cache2045%1.1215.6
Nuke1060%1.0017.3
Train683%1.1217.2

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.

25.9%Headshot accuracy
37.4%Accuracy (enemy spotted)
37.0%Spray accuracy
81.0%Counter-strafing
8.3°Preaim
512msReaction time
57.0%T opening success
44.8%CT opening success
0.47Enemies flashed / flash
4.2%Flash assists
8.50HE damage / grenade
6.16Flashes / 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

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

    Enemies flashed per flash 0.4672 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0836%15 Oct →
dust211–130.0926%15 Oct →
mirage13–90.0722%15 Oct →
anubis11–13-0.0419%15 Oct →
mirage4–13-0.0330%14 Oct →
inferno13–6-0.0316%14 Oct →
cache5–13-0.0717%13 Oct →
inferno4–13-0.0530%13 Oct →
vertigo5–00.0433%12 Oct →
overpass13–50.0841%12 Oct →
nuke13–100.0928%12 Oct →
cache13–70.0030%12 Oct →
dust29–13-0.0133%12 Oct →
nuke9–13-0.0737%12 Oct →
anubis13–60.0725%12 Oct →
vertigo13–110.0238%9 Oct →
inferno13–00.1433%9 Oct →
mirage13–11-0.0125%9 Oct →
dust29–130.0436%9 Oct →
anubis13–7-0.0231%9 Oct →
cache13–90.0238%8 Oct →
nuke13–40.0627%8 Oct →
dust213–5-0.0215%8 Oct →
inferno13–80.0322%8 Oct →
cache13–60.1119%8 Oct →
anubis6–13-0.0517%8 Oct →
inferno13–11-0.059%8 Oct →
anubis6–13-0.079%8 Oct →
mirage13–30.0323%7 Oct →
cache14–16-0.0119%7 Oct →
cache13–100.0718%7 Oct →
anubis13–9-0.0213%7 Oct →
vertigo9–130.0323%6 Oct →
inferno9–13-0.0521%6 Oct →
anubis13–100.0134%6 Oct →
inferno12–160.0331%6 Oct →
mirage8–130.0617%6 Oct →
inferno16–140.0515%6 Oct →
inferno9–40.2543%5 Oct →
vertigo13–50.0715%5 Oct →
cache11–130.0315%5 Oct →
inferno10–13-0.0320%5 Oct →
overpass8–130.0620%29 Sept →
train13–10.1338%29 Sept →
vertigo6–9-0.0630%29 Sept →
inferno9–00.4239%29 Sept →
vertigo3–13-0.0131%29 Sept →
office13–80.1130%28 Sept →
vertigo6–130.0820%28 Sept →
nuke9–130.0130%27 Sept →
overpass13–80.0222%27 Sept →
anubis9–13-0.0322%23 Sept →
vertigo13–60.0638%21 Sept →
nuke14–160.0316%21 Sept →
dust212–120.0122%21 Sept →
inferno10–13-0.0432%21 Sept →
cache6–130.0826%21 Sept →
inferno13–100.0622%21 Sept →
cache13–30.0531%20 Sept →
ancient13–9-0.0324%20 Sept →
cache13–50.0624%20 Sept →
mirage9–13-0.037%20 Sept →
mirage0–13-0.010%20 Sept →
vertigo13–6-0.0122%20 Sept →
overpass13–20.1427%20 Sept →
vertigo13–80.0033%17 Sept →
dust213–60.0936%17 Sept →
inferno13–100.0221%17 Sept →
mirage2–130.0126%17 Sept →
ancient13–30.0126%17 Sept →
inferno10–130.0130%17 Sept →
vertigo8–130.0120%14 Sept →
cache11–130.0228%14 Sept →
anubis15–15-0.0331%14 Sept →
ancient9–130.0323%13 Sept →
vertigo13–100.0020%12 Sept →
overpass12–120.0430%12 Sept →
dust28–130.0453%12 Sept →
anubis13–00.0146%10 Sept →
inferno7–130.0123%10 Sept →
ancient2–13-0.0626%10 Sept →
anubis13–60.0629%9 Sept →
ancient15–15-0.0213%8 Sept →
cache6–13-0.0211%8 Sept →
mirage16–120.1117%8 Sept →
cache13–10-0.0327%4 Sept →
dust26–130.0420%4 Sept →
dust211–13-0.0527%3 Sept →
vertigo13–5-0.0417%3 Sept →
cache11–130.0416%3 Sept →
dust28–130.0022%3 Sept →
nuke13–11-0.0045%3 Sept →
vertigo9–130.0836%1 Sept →
cache13–11-0.0116%1 Sept →
dust24–13-0.0723%1 Sept →
inferno13–50.0526%1 Sept →
nuke9–50.0233%31 Aug →
vertigo5–13-0.0323%31 Aug →
dust213–5-0.0528%30 Aug →
vertigo10–130.0132%30 Aug →

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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