rich_mane

rich_mane — CS2 Stats

US76561197965728899[U:1:5463171]Steam profile ↗✓ No bans

2,799Tracked matches52%Win rate2020Tracked since
CSDB Rating7.7 StrongSupport
Premier CS Rating24,898Top 25% of 206,528 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#23175 of 253970 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 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: 24,898 -610 30 Aug – 18 Oct · 12 days played
24,89826,870peak 26,87030 Aug18 Oct
Faceit ELO: 1,997 +0 30 Aug – 14 Oct · 3 observations
1,9971,997peak 1,99730 Aug14 Oct
26,870Peak Premier in tracked matches
1,997Highest Faceit ELO seen on CSDB
31Days played since 2026-08-30

Faceit ELO

  • At peak — 1,997
  • Next: Level 10 at 2,001 — 4 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 1,972 below peak (26,870)
  • -1,184 over 30 days · declining
  • Next: Red band at 25,000 — 102 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

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.GGrich_manePREMIER24,898 · Pink bandPEAK ELO1,997csdb.gg/stats

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Performance scores

Aim95
Positioning61
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY57–35–8Last 10057%Win rateLLWWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · −10ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 35%
  • Avg reaction 515ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 34%
  • Avg reaction 551ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 33%
  • Avg reaction 555ms

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 (+1.3 against its own average).

Aim9.5
Utility6.2
Positioning6.1
Opening Duels2.9
Clutch4.6

Sharp aimerExcellent counter-strafingEffective flashes

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

T openings. 65% T opening-duel success — entries that actually open the round.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

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.

CT openings. Opening success drops from 65% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim9.5
Positioning6.1
Utility6.2
Mechanics8.9
Opening Duels6.1
Win Impact5.6

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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time559ms−15ms
first ⅓ avg 574ms → last ⅓ avg 559ms
Headshot accuracy37.6%+1.4%
first ⅓ avg 36.2% → last ⅓ avg 37.6%

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

0.16Best match rating · 13–5 · dust2, 11 Oct →
100%Best headshot accuracy · 13–8 · office, 30 Sept →
344msFastest reaction time · 13–7 · dust2, 12 Sept →
13–0Biggest win · anubis, 2 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 100% over 8ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3518–1751%0.02
cacheC125–742%0.02
trainS97–278%0.04
ancientD92–722%-0.05
vertigoS97–278%0.03
officeS88–0100%0.00
anubisS76–186%0.02
nuke—41–325%0.01
mirage—41–325%-0.02
overpass—32–167%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,936Matches
51%Win rate
1.04Avg K/D
79.1ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
30%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4146%0.9916.2
Inferno3967%1.0114.9
Anubis3537%1.0016.9
Ancient2748%1.0315.9
Dust22658%1.0415.5
Overpass1258%1.0917.0
Nuke714%0.8713.6
Cache10%1.0520.0

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.

35.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.9%Spray accuracy
90.1%Counter-strafing
8.1°Preaim
548msReaction time
65.5%T opening success
43.1%CT opening success
0.79Enemies flashed / flash
7.3%Flash assists
11.79HE damage / grenade
6.81Flashes / match

Recommended for you

Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–130.0740%18 Oct →
mirage6–13-0.1217%18 Oct →
anubis13–80.0740%18 Oct →
cache13–100.1433%18 Oct →
dust213–70.0044%18 Oct →
dust213–70.0253%17 Oct →
cache8–13-0.0925%16 Oct →
overpass13–3-0.0529%16 Oct →
dust29–13-0.0128%16 Oct →
cache6–130.0432%15 Oct →
dust24–13-0.0334%15 Oct →
dust212–120.0330%13 Oct →
nuke13–50.0136%13 Oct →
train13–70.0338%12 Oct →
overpass12–120.0232%12 Oct →
anubis13–90.0234%12 Oct →
ancient9–13-0.0224%11 Oct →
dust213–50.1632%11 Oct →
ancient11–13-0.0832%10 Oct →
dust212–12-0.0531%10 Oct →
train4–00.0850%10 Oct →
office13–70.0573%10 Oct →
ancient9–13-0.0140%9 Oct →
dust210–130.0339%9 Oct →
cache13–70.0728%5 Oct →
dust23–130.0028%5 Oct →
dust213–50.0733%4 Oct →
ancient9–13-0.0823%4 Oct →
dust29–13-0.0746%4 Oct →
vertigo13–40.1071%4 Oct →
cache6–130.0228%4 Oct →
dust25–130.0317%30 Sept →
office13–8-0.02100%30 Sept →
train6–13-0.0029%30 Sept →
overpass13–10-0.0325%28 Sept →
train13–90.0638%28 Sept →
dust24–13-0.0333%28 Sept →
vertigo13–50.0553%27 Sept →
office10–60.0050%27 Sept →
dust213–60.0355%27 Sept →
vertigo12–12-0.0146%27 Sept →
ancient1–13-0.1125%27 Sept →
cache10–13-0.0235%27 Sept →
anubis13–90.0116%26 Sept →
vertigo12–12-0.0243%26 Sept →
dust27–130.0042%26 Sept →
office13–6-0.0258%26 Sept →
dust29–13-0.0225%25 Sept →
ancient13–5-0.0250%25 Sept →
dust28–2-0.0228%25 Sept →
cache13–16-0.0721%25 Sept →
anubis12–120.0140%20 Sept →
cache13–80.0349%20 Sept →
dust25–00.1167%20 Sept →
vertigo13–110.0551%14 Sept →
train8–10.1043%14 Sept →
office13–80.0468%14 Sept →
dust214–160.0215%13 Sept →
dust213–110.0029%13 Sept →
cache3–13-0.0832%13 Sept →
ancient2–13-0.0837%13 Sept →
dust215–150.0132%13 Sept →
dust216–130.0537%12 Sept →
dust213–70.0134%12 Sept →
dust212–120.0821%12 Sept →
dust211–130.0122%11 Sept →
train13–90.0541%9 Sept →
office9–3-0.0467%9 Sept →
cache13–80.0744%9 Sept →
dust213–70.1038%9 Sept →
vertigo13–110.0334%9 Sept →
office13–90.0333%8 Sept →
nuke1–13-0.0067%8 Sept →
train13–10.0843%8 Sept →
dust213–8-0.0255%8 Sept →
mirage1–4-0.070%7 Sept →
mirage13–40.0038%7 Sept →
ancient13–11-0.0320%5 Sept →
anubis13–70.1231%5 Sept →
dust213–90.0639%5 Sept →
train7–13-0.0135%4 Sept →
vertigo13–50.0265%3 Sept →
cache13–10.1134%3 Sept →
dust29–13-0.0323%3 Sept →
dust211–130.0235%3 Sept →
office13–7-0.0167%3 Sept →
mirage3–50.1044%3 Sept →
dust213–8-0.0350%2 Sept →
anubis13–0-0.1031%2 Sept →
dust213–30.1045%2 Sept →
train13–2-0.078%1 Sept →
ancient9–13-0.0133%1 Sept →
vertigo13–20.0526%31 Aug →
vertigo9–30.0016%31 Aug →
dust213–30.0231%31 Aug →
anubis13–100.0034%30 Aug →
nuke8–13-0.0436%30 Aug →
cache2–6-0.0420%30 Aug →
dust213–20.0130%30 Aug →
dust213–80.0425%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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