famak

famak — CS2 Stats

FR76561197986446004[U:1:26180276]Steam profile ↗✓ No bans

1,439Tracked matches48%Win rate2020Tracked since
2,095Hours in CS14Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating17,590Purple band · top ~18.1% of ranked players (population est.)
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 31 days played since 17 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,590 +316 17 Jul29 Aug · 18 days played
16,96919,493peak 19,49317 Jul29 Aug
19,493Peak Premier in tracked matches
31Days played since 2026-07-17

Premier CS Rating

  • 1,903 below peak (19,493)
  • +111 over 30 days · steady
  • Next: Pink band at 20,000 2,410 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.3%44.3%46.9%above
Shot accuracy15.1%11.8%13.0%above
Kill/death ratio1.021.031.080.06 short
Match win rate44.1%45.2%46.7%2.5% short

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

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

Share this profile

CSDB.GGfamakPREMIER17,590 · Purple bandcsdb.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

Aim89
Positioning54
Utility29

0–100 skill scores via Leetify.

Recent form

COLD47476Last 10047%Win rateWLLLWTLLTL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −1.5pp headshot accuracy · +53ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 542ms

Last 10

  • 262 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 5132 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 561ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim8.9
Utility2.9
Positioning5.4
Opening Duels4.4
Clutch3.6

Sharp aimerExcellent counter-strafingStrong CT-side openerLimited utility dependence

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 92% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.9
Positioning5.4
Utility2.9
Mechanics9.0
Opening Duels4.4
Win Impact4.4

Composite 6.4/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time557ms−36ms
first ⅓ avg 593ms → last ⅓ avg 557ms
Headshot accuracy21.6%−0.2%
first ⅓ avg 21.8% → last ⅓ avg 21.6%

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

0.28Best match rating · 9–0 · inferno, 17 Jul
56%Best headshot accuracy · 13–3 · ancient, 19 Jul
359msFastest reaction time · 6–9 · inferno, 10 Sept
13–1Biggest win · dust2, 12 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
68In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 45% over 51
MapGradePlayedRecordWin rateAvg rating
infernoB51232845%0.01
mirageB157847%0.01
cacheB105550%0.02
ancientB84450%0.01
anubisA74357%0.00
dust2B63350%-0.00
nuke21150%0.01
overpass1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 51). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,888Lifetime kills
1.02K/D
3,402Matches
44.1%Match win rate
49.3%Headshot % · Top 50% of Purple band
15.1%Shot accuracy · Top 50% of Purple band
11,380MVPs
3,007Hours (in match)
1,779Bombs planted
512Bombs defused

Most-used weapons

AK-4725,854
AWP8,699
Knife873

Lifetime map wins

7,576inferno
2,634dust2
1,839vertigo
1,384nuke
930train
600cbble
246lake
1stmarc

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

Faceit stats

Combat

343Matches
48%Win rate
1.08Avg K/D
87.3ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5238%1.2218.0
Anubis4745%1.1817.7
Inferno3057%1.0915.9
Ancient2959%1.1116.7
Dust22756%1.2118.0
Nuke1553%1.2417.5
Vertigo1346%1.1316.8
Overpass540%1.5214.8

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.

18.8%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.4%Spray accuracy
90.7%Counter-strafing
8.1°Preaim
567msReaction time
37.6%T opening success
57.9%CT opening success
0.51Enemies flashed / flash
4.0%Flash assists
7.21HE damage / grenade
3.43Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.4254 — below the 4 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.6411% — below the 40% mark we flag

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.

45% win rate across 51 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–70.1626%22 Sept
inferno2–9-0.1423%16 Sept
overpass5–9-0.0615%14 Sept
inferno6–9-0.0020%10 Sept
inferno9–50.1535%10 Sept
inferno8–8-0.018%30 Aug
inferno6–9-0.0410%30 Aug
mirage4–13-0.0519%29 Aug
inferno8–80.0226%27 Aug
nuke4–9-0.086%24 Aug
inferno7–9-0.0118%24 Aug
cache8–130.0120%22 Aug
inferno3–9-0.0822%16 Aug
inferno9–20.2317%16 Aug
inferno6–90.0211%16 Aug
inferno9–20.1516%16 Aug
anubis6–13-0.0021%14 Aug
inferno7–9-0.0123%13 Aug
inferno7–9-0.0319%13 Aug
inferno9–70.0434%13 Aug
inferno9–5-0.0316%13 Aug
inferno7–9-0.0822%13 Aug
inferno9–10.2645%13 Aug
inferno9–60.0424%13 Aug
inferno4–9-0.0535%13 Aug
inferno9–40.1944%13 Aug
mirage13–60.1021%13 Aug
dust213–10.049%12 Aug
mirage11–130.0514%11 Aug
cache8–13-0.0119%11 Aug
inferno9–3-0.0624%11 Aug
ancient10–13-0.0116%8 Aug
anubis13–10.0236%8 Aug
inferno13–40.0116%8 Aug
mirage7–130.0817%8 Aug
ancient14–16-0.0213%7 Aug
mirage13–10.0524%7 Aug
dust29–130.0227%6 Aug
inferno7–90.0219%6 Aug
ancient7–13-0.0720%6 Aug
inferno5–130.1326%6 Aug
inferno9–5-0.0135%6 Aug
inferno5–9-0.125%6 Aug
cache16–14-0.0115%3 Aug
anubis13–100.0521%3 Aug
cache4–13-0.0126%2 Aug
anubis13–9-0.0318%2 Aug
mirage6–13-0.0514%1 Aug
anubis13–8-0.0015%1 Aug
mirage13–40.0610%1 Aug
cache13–50.0017%1 Aug
cache13–10.0519%31 Jul
inferno9–30.0615%31 Jul
inferno3–130.0427%29 Jul
mirage15–150.0217%29 Jul
dust29–130.0127%27 Jul
ancient7–1-0.040%27 Jul
mirage13–70.0221%27 Jul
ancient13–3-0.0215%27 Jul
cache15–150.0314%26 Jul
dust213–8-0.048%26 Jul
ancient13–90.0211%26 Jul
inferno5–90.0917%26 Jul
cache5–130.0222%26 Jul
mirage9–130.0111%26 Jul
inferno9–70.0225%26 Jul
inferno9–60.0347%26 Jul
inferno9–10.0928%26 Jul
inferno9–50.0631%26 Jul
inferno3–130.0324%26 Jul
inferno13–50.1421%26 Jul
inferno1–9-0.2323%24 Jul
inferno4–9-0.0717%24 Jul
inferno6–9-0.1313%24 Jul
ancient11–130.0117%24 Jul
inferno9–70.0316%24 Jul
mirage3–13-0.0522%22 Jul
inferno3–9-0.1743%22 Jul
inferno9–30.126%21 Jul
inferno9–60.0319%21 Jul
inferno8–8-0.0429%21 Jul
dust20–10-0.0540%20 Jul
mirage13–9-0.0110%20 Jul
anubis5–13-0.0216%19 Jul
ancient13–30.1856%19 Jul
inferno8–80.0321%19 Jul
inferno0–9-0.3014%19 Jul
anubis6–13-0.0117%19 Jul
nuke13–10.1133%19 Jul
inferno9–70.0322%19 Jul
inferno5–9-0.0329%19 Jul
mirage13–90.0123%18 Jul
cache13–10-0.0011%18 Jul
cache13–40.1214%18 Jul
inferno4–9-0.0419%18 Jul
dust213–1-0.0130%18 Jul
mirage6–13-0.0331%17 Jul
mirage13–3-0.0115%17 Jul
inferno9–00.2810%17 Jul
inferno0–9-0.260%17 Jul

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 →