Fhume

Fhume — CS2 Stats

CN76561199853886792[U:1:1893621064]Steam profile ↗✓ No bans

1,182Tracked matches68%Win rate2025Tracked since
1,544Hours in CS70Hrs last 2 wks
CSDB Rating7.7 StrongSupport
Premier CS Rating22,718Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47616 of 261661 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 22,718 -3,472 18 Sept – 14 Nov · 12 days played
22,32826,190peak 26,19018 Sept14 Nov
Faceit ELO: 1,035 +0 29 Aug – 4 Oct · 3 observations
1,0351,035peak 1,03529 Aug4 Oct
26,190Peak Premier in tracked matches
1,035Highest Faceit ELO seen on CSDB
18Days played since 2026-08-29

Faceit ELO

  • At peak — 1,035
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 16 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-29
  • Level 3 first seen 2026-08-29

Premier CS Rating

  • 3,472 below peak (26,190)
  • Next: Red band at 25,000 — 2,282 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-18
  • Pink band first seen 2026-09-18

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.7%46.9%49.3%8.7% short
Shot accuracy0.0%13.0%13.3%13.3% short
Kill/death ratio1.271.081.12above
Match win rate53.5%46.7%48.5%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFhumePREMIER22,718 · Pink band30 DAYS0 ELOPEAK ELO1,035csdb.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

Aim90
Positioning60
Utility71

0–100 skill scores via Leetify.

Recent form

HOT49–44–7Last 10049%Win rateWWWTLWTWWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating · +4.7pp headshot accuracy · −12ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 32%
  • Avg reaction 497ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 28%
  • Avg reaction 492ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 26%
  • Avg reaction 498ms

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 (+2.4 against its own average).

Aim9.0
Utility7.1
Positioning6.0
Opening Duels2.2
Clutch3.4

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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

Aim9.0
Positioning6.0
Utility7.1
Mechanics8.1
Opening Duels3.9
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time509ms−5ms
first ⅓ avg 514ms → last ⅓ avg 509ms
Headshot accuracy22.9%−0.8%
first ⅓ avg 23.7% → last ⅓ avg 22.9%

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

0.20Best match rating · 13–7 · inferno, 12 Nov →
53%Best headshot accuracy · 8–13 · dust2, 14 Nov →
328msFastest reaction time · 13–2 · anubis, 10 Nov →
12–0Biggest win · cache, 3 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
6–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
infernoD186–1233%0.03
dust2B157–847%0.03
mirageA148–657%0.02
nukeB136–746%0.02
ancientC104–640%0.01
anubisS86–275%0.04
cacheB84–450%0.04
vertigo—42–250%0.03
train—43–175%0.02
overpass—31–233%0.05
office—21–150%0.13
italy—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,465Lifetime kills
1.27K/D · Top 25% of Pink band
1,535Matches
53.5%Match win rate · Top 10% of Pink band
40.7%Headshot %
0.0%Shot accuracy
4,051MVPs
597Hours (in match)
2,006Bombs planted
499Bombs defused

Most-used weapons

Lifetime map wins

3,831dust2
1,753inferno
1,562nuke
756train
668vertigo
506office
167italy
6lake

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

Faceit stats

Combat

77Matches
58%Win rate
1.32Avg K/D
85.0ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2560%1.3417.4
Dust22442%1.2416.5
Ancient1145%1.2618.4
Anubis888%1.6020.6
Inferno5100%1.4413.6
Nuke10%1.2431.0
Overpass1100%1.7319.0
Cache1100%1.0013.0

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.

22.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.5%Spray accuracy
86.5%Counter-strafing
7.7°Preaim
503msReaction time
46.5%T opening success
44.8%CT opening success
0.60Enemies flashed / flash
9.7%Flash assists
11.31HE damage / grenade
14.94Flashes / 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0929%14 Nov →
office13–40.2037%14 Nov →
anubis16–120.0916%14 Nov →
ancient12–120.0323%14 Nov →
dust28–130.1353%14 Nov →
vertigo12–10.0443%14 Nov →
nuke12–120.0523%12 Nov →
inferno13–70.2018%12 Nov →
nuke13–50.1023%12 Nov →
inferno13–7-0.0120%12 Nov →
anubis13–20.0731%10 Nov →
dust211–130.0538%10 Nov →
cache13–90.1224%10 Nov →
mirage13–110.089%10 Nov →
vertigo13–100.0533%10 Nov →
dust213–80.0326%10 Nov →
ancient7–13-0.0323%10 Nov →
inferno10–13-0.0716%9 Nov →
nuke13–100.0221%9 Nov →
dust210–130.0916%9 Nov →
dust213–100.087%8 Nov →
mirage13–40.0915%8 Nov →
inferno11–13-0.0029%8 Nov →
dust213–4-0.0116%8 Nov →
anubis13–100.0317%8 Nov →
nuke2–13-0.0813%8 Nov →
nuke13–40.0133%8 Nov →
train13–50.0624%8 Nov →
mirage6–13-0.048%8 Nov →
dust22–13-0.076%7 Nov →
vertigo10–130.0133%7 Nov →
italy13–90.0823%7 Nov →
cache10–13-0.0113%7 Nov →
inferno12–120.0311%7 Nov →
nuke11–130.0717%7 Nov →
mirage13–70.0720%6 Nov →
dust213–9-0.0119%6 Nov →
vertigo9–130.0113%6 Nov →
overpass7–13-0.0213%6 Nov →
inferno1–13-0.087%6 Nov →
inferno12–120.0422%6 Nov →
cache10–13-0.0017%6 Nov →
nuke13–30.0814%6 Nov →
dust29–130.0320%6 Nov →
mirage12–12-0.0329%5 Nov →
dust23–130.0329%5 Nov →
nuke11–13-0.0618%3 Nov →
mirage7–130.0626%3 Nov →
cache12–00.0515%3 Nov →
ancient13–11-0.049%3 Nov →
anubis13–20.0018%3 Nov →
anubis10–130.0020%3 Nov →
inferno11–13-0.0310%3 Nov →
train6–10-0.0233%3 Nov →
mirage13–20.0629%2 Nov →
mirage9–13-0.0347%2 Nov →
inferno11–130.0324%1 Nov →
mirage13–50.0211%1 Nov →
inferno13–110.0541%1 Nov →
inferno7–30.0227%1 Nov →
dust213–50.0519%1 Nov →
anubis7–130.0120%1 Nov →
ancient14–16-0.0316%31 Oct →
train13–40.0011%31 Oct →
mirage13–100.0939%31 Oct →
inferno8–13-0.0324%31 Oct →
cache7–130.0226%31 Oct →
inferno4–130.0920%31 Oct →
anubis13–30.0433%31 Oct →
dust212–120.0319%30 Oct →
inferno13–70.1229%30 Oct →
dust213–100.0821%30 Oct →
anubis13–110.0519%29 Oct →
ancient1–13-0.0613%29 Oct →
nuke10–13-0.0319%29 Oct →
inferno13–20.1638%29 Oct →
overpass11–130.0428%29 Oct →
overpass13–110.1221%28 Oct →
nuke13–90.0425%28 Oct →
inferno5–13-0.0520%28 Oct →
ancient9–130.0315%28 Oct →
mirage5–13-0.0019%28 Oct →
nuke4–130.0433%28 Oct →
dust212–120.0219%28 Oct →
ancient13–40.1230%27 Oct →
mirage13–110.0118%27 Oct →
mirage10–13-0.0614%27 Oct →
office11–130.0745%27 Oct →
inferno5–13-0.0023%27 Oct →
cache13–90.0227%27 Oct →
cache8–00.1422%27 Oct →
dust213–5-0.0222%27 Oct →
mirage13–90.0327%27 Oct →
nuke3–13-0.0829%27 Oct →
train13–60.0219%26 Oct →
inferno6–13-0.0223%26 Oct →
ancient10–130.0431%25 Oct →
ancient13–90.0319%25 Oct →
ancient13–30.0316%25 Oct →
cache7–13-0.0426%25 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.