famel

famel — CS2 Stats

CX76561198125512889[U:1:165247161]Steam profile ↗✓ No bans

2,516Tracked matches53%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating19,999Top 50% of 214,795 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#86160 of 261142 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,999 → 19,999
+53Tracked matches · now 2,516
−10.0ppWin rate · 63.3% → 53.3%

Rating over time

Premier CS Rating: 19,999 +1,286 1 Sept – 20 Oct · 7 days played
18,71319,999peak 19,9991 Sept20 Oct
19,999Peak Premier in tracked matches
31Days played since 2026-09-01

Premier CS Rating

  • At peak — 19,999
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue 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.GGfamelFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning68
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWLWWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +0.0pp headshot accuracy · −23ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

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).

Aim6.8
Utility7.0
Positioning6.8
Opening Duels5.3
Clutch3.2

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

m0NESY

Plays most like m0NESY 79% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim6.8
Positioning6.8
Utility7.0
Mechanics6.3
Opening Duels7.3
Win Impact6.1

Composite 6.7/10 (Solid), 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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time543ms−42ms
first ⅓ avg 585ms → last ⅓ avg 543ms
Headshot accuracy18.9%−4.8%
first ⅓ avg 23.7% → last ⅓ avg 18.9%

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

0.30Best match rating · 13–2 · shelter, 7 Nov →
50%Best headshot accuracy · 13–6 · cache, 4 Oct →
398msFastest reaction time · 8–13 · inferno, 16 Oct →
13–2Biggest win · shelter, 7 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–10In matches decided by ≤2 rounds
21Overtime games

Map breakdown

mirageBest map · 80% over 5infernoWeakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%-0.01
infernoB2411–1346%-0.01
cacheB2010–1050%-0.01
ancientS86–275%0.01
anubisB84–450%-0.01
mirageS54–180%-0.01
nuke—43–175%-0.01
vertigo—31–233%0.00
italy—20–20%-0.03
shelter—11–0100%0.30
office—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

805Matches
50%Win rate
0.90Avg K/D
79.2ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4852%1.0616.1
Anubis4344%1.0115.1
Dust23954%0.8815.4
Ancient3355%0.9616.0
Mirage3050%0.8912.8
Cache1856%0.9414.6
Vertigo1759%1.0016.1
Nuke650%0.9512.7

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.

18.9%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.2%Spray accuracy
78.2%Counter-strafing
10.5°Preaim
542msReaction time
60.6%T opening success
57.7%CT opening success
0.62Enemies flashed / flash
8.6%Flash assists
10.57HE damage / grenade
16.73Flashes / 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.

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust218–22-0.0415%10 Nov →
mirage13–11-0.0718%10 Nov →
dust211–13-0.0910%9 Nov →
ancient13–80.0122%9 Nov →
anubis13–10-0.0226%9 Nov →
inferno13–50.1116%9 Nov →
dust210–130.0221%8 Nov →
inferno8–130.0026%8 Nov →
cache5–13-0.0318%8 Nov →
dust216–19-0.0214%8 Nov →
anubis11–13-0.0220%7 Nov →
cache8–13-0.0314%7 Nov →
dust213–100.0619%7 Nov →
inferno13–70.0516%7 Nov →
shelter13–20.3014%7 Nov →
cache4–13-0.1116%6 Nov →
ancient5–13-0.0417%6 Nov →
inferno13–7-0.0015%6 Nov →
inferno13–80.0319%6 Nov →
nuke13–50.0433%6 Nov →
nuke9–13-0.0216%5 Nov →
dust211–13-0.0221%5 Nov →
anubis16–120.0615%5 Nov →
dust211–130.0131%4 Nov →
inferno17–190.0522%4 Nov →
cache13–100.0622%4 Nov →
nuke13–40.0217%4 Nov →
cache16–130.0823%4 Nov →
ancient19–170.0521%3 Nov →
dust213–4-0.0510%3 Nov →
vertigo13–100.0111%3 Nov →
cache16–130.0515%3 Nov →
cache13–5-0.0130%3 Nov →
cache8–13-0.019%1 Nov →
inferno13–16-0.059%31 Oct →
ancient16–130.0513%31 Oct →
dust216–14-0.0410%31 Oct →
cache13–40.0627%30 Oct →
inferno13–110.0823%30 Oct →
dust20–13-0.0933%30 Oct →
inferno10–13-0.044%26 Oct →
cache17–19-0.0510%26 Oct →
vertigo11–130.0416%25 Oct →
dust213–80.0224%25 Oct →
inferno10–13-0.0313%25 Oct →
inferno10–13-0.057%25 Oct →
dust210–13-0.0316%25 Oct →
dust213–11-0.0316%25 Oct →
anubis10–130.0325%25 Oct →
ancient13–60.0218%25 Oct →
dust216–120.0133%24 Oct →
inferno10–130.0210%24 Oct →
cache5–13-0.0323%23 Oct →
dust213–10-0.0023%18 Oct →
ancient8–13-0.0321%18 Oct →
cache13–10-0.0421%18 Oct →
inferno10–13-0.098%17 Oct →
nuke13–6-0.0814%17 Oct →
anubis5–13-0.0523%16 Oct →
inferno8–13-0.0111%16 Oct →
cache13–70.0426%16 Oct →
mirage13–11-0.0217%10 Oct →
inferno13–3-0.0513%10 Oct →
dust213–16-0.0416%10 Oct →
cache13–100.0620%9 Oct →
ancient13–80.0725%9 Oct →
inferno16–13-0.0121%9 Oct →
dust213–11-0.0424%9 Oct →
cache10–13-0.0833%4 Oct →
dust213–50.0642%4 Oct →
cache13–6-0.0050%4 Oct →
inferno14–16-0.0021%3 Oct →
inferno13–60.0233%2 Oct →
dust213–9-0.0326%2 Oct →
cache12–16-0.0721%2 Oct →
dust216–14-0.0316%27 Sept →
anubis14–16-0.0417%26 Sept →
inferno11–13-0.0437%25 Sept →
dust213–70.0619%25 Sept →
ancient16–14-0.0218%25 Sept →
dust213–8-0.0614%25 Sept →
cache13–10-0.0120%25 Sept →
inferno7–13-0.0421%25 Sept →
mirage6–13-0.0436%20 Sept →
mirage13–30.0624%20 Sept →
dust210–13-0.0221%19 Sept →
anubis13–5-0.0226%19 Sept →
mirage13–50.0134%19 Sept →
anubis16–12-0.0411%19 Sept →
cache6–13-0.0220%19 Sept →
inferno16–13-0.0415%13 Sept →
vertigo0–13-0.0331%13 Sept →
dust213–100.0728%13 Sept →
inferno13–9-0.0317%13 Sept →
italy10–130.0422%13 Sept →
cache8–13-0.0428%12 Sept →
italy2–13-0.100%12 Sept →
office5–13-0.0426%12 Sept →
inferno13–110.0220%12 Sept →
inferno9–13-0.0511%11 Sept →

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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