Firstservant(rmw)

Firstservant(rmw) — CS2 Stats

76561197982964576[U:1:22698848]Steam profile ↗✓ No bans

1,145Tracked matches48%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating18,646Top 50% of 200,693 CSDB-tracked playersPurple band · top ~13.9% of ranked players (population est.)
CSDB Leaderboard#98654 of 247633 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 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: 18,646 +260 3 Jul – 28 Sept · 18 days played
18,35220,526peak 20,5263 Jul28 Sept
20,597Peak Premier in tracked matches
28Days played since 2026-07-03

Premier CS Rating

  • 1,880 below peak (20,526)
  • -306 over 30 days · steady
  • +260 over 90 days
  • Next: Pink band at 20,000 — 1,354 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGFirstservant(rmw)FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,646 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning67
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLWWLWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · +30ms 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 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 537ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 549ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 534ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.9
Utility6.0
Positioning6.7
Opening Duels5.1
Clutch6.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.9
Positioning6.7
Utility6.0
Mechanics7.0
Opening Duels4.4
Win Impact4.4

Composite 6.5/10 (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 rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time541ms−29ms
first ⅓ avg 570ms → last ⅓ avg 541ms
Headshot accuracy19.1%−0.5%
first ⅓ avg 19.6% → last ⅓ avg 19.1%

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 · 10–13 · mirage, 28 Sept →
39%Best headshot accuracy · 8–13 · dust2, 3 Jul →
367msFastest reaction time · 3–13 · office, 7 Jul →
13–1Biggest win · inferno, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

officeBest map · 69% over 13nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
cacheA1811–761%0.03
infernoA1710–759%0.04
nukeD164–1225%0.02
officeS139–469%0.05
ancientC94–544%0.03
mirageD82–625%0.02
dust2C52–340%0.03
anubis—42–250%0.00
fachwerk—32–167%0.05
shelter—22–0100%0.03
alpine—22–0100%0.10
train—21–150%-0.02
italy—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
70%Win rate
1.77Avg K/D
120.7ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
9%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5100%3.1622.6
Mirage560%1.3526.4
Nuke450%1.5721.8
Overpass1100%2.3831.0

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.

19.1%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.4%Spray accuracy
81.6%Counter-strafing
8.6°Preaim
537msReaction time
43.5%T opening success
52.1%CT opening success
0.61Enemies flashed / flash
3.3%Flash assists
10.33HE damage / grenade
7.46Flashes / match

Recommended for you

Spend your practice time on Nuke

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 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–110.0025%28 Sept →
mirage10–130.2016%28 Sept →
inferno13–90.0818%28 Sept →
inferno13–10.0731%27 Sept →
mirage3–13-0.0314%27 Sept →
anubis13–60.0216%9 Sept →
dust28–130.1217%9 Sept →
ancient10–13-0.0213%24 Aug →
nuke5–130.0024%24 Aug →
ancient8–130.0317%18 Aug →
inferno16–130.0315%17 Aug →
anubis13–90.0313%16 Aug →
inferno10–13-0.0122%16 Aug →
ancient13–80.1010%16 Aug →
cache13–40.0222%15 Aug →
inferno8–130.0522%15 Aug →
nuke13–9-0.0117%15 Aug →
ancient8–13-0.0117%15 Aug →
nuke6–13-0.0213%15 Aug →
inferno15–150.0421%11 Aug →
cache13–60.0619%11 Aug →
nuke13–70.1325%11 Aug →
cache5–13-0.0324%11 Aug →
anubis8–13-0.0323%11 Aug →
mirage9–130.0224%10 Aug →
inferno13–100.1524%10 Aug →
cache4–13-0.0821%10 Aug →
nuke11–130.0230%10 Aug →
office13–7-0.069%10 Aug →
ancient13–90.1115%6 Aug →
cache13–50.1114%6 Aug →
dust216–140.0120%6 Aug →
office13–70.0720%6 Aug →
nuke13–70.0522%5 Aug →
cache13–30.0622%5 Aug →
inferno9–13-0.0123%5 Aug →
inferno13–60.0814%4 Aug →
ancient13–9-0.0120%4 Aug →
nuke11–130.0011%3 Aug →
dust213–90.0812%3 Aug →
nuke13–160.0213%2 Aug →
ancient13–80.0521%2 Aug →
office13–50.0218%2 Aug →
cache13–160.0213%20 Jul →
mirage4–13-0.0820%20 Jul →
nuke13–6-0.0222%20 Jul →
mirage4–13-0.077%18 Jul →
ancient2–13-0.0219%18 Jul →
inferno13–40.0526%18 Jul →
anubis7–13-0.0117%18 Jul →
cache13–5-0.0315%18 Jul →
mirage13–9-0.0014%18 Jul →
office6–130.0113%17 Jul →
shelter13–90.0411%17 Jul →
office13–100.1113%17 Jul →
inferno9–13-0.0019%16 Jul →
nuke8–13-0.0118%16 Jul →
mirage10–13-0.0219%16 Jul →
nuke15–150.0511%16 Jul →
office13–40.1219%16 Jul →
cache13–10-0.0114%15 Jul →
mirage13–80.1231%15 Jul →
ancient9–13-0.0017%15 Jul →
nuke2–13-0.0513%15 Jul →
inferno13–110.0123%15 Jul →
cache8–13-0.0413%15 Jul →
italy13–70.0122%15 Jul →
fachwerk7–13-0.0611%15 Jul →
office13–50.1627%15 Jul →
office13–80.0521%15 Jul →
inferno13–50.0012%14 Jul →
nuke9–130.0020%14 Jul →
inferno13–50.0414%14 Jul →
dust25–13-0.058%14 Jul →
shelter13–80.0116%10 Jul →
cache13–90.1028%9 Jul →
cache13–20.0816%9 Jul →
fachwerk13–110.1219%9 Jul →
fachwerk13–100.0914%9 Jul →
office12–120.0929%8 Jul →
alpine13–80.1216%8 Jul →
cache8–130.0220%8 Jul →
alpine13–50.0933%7 Jul →
office3–13-0.0316%7 Jul →
nuke3–130.0123%7 Jul →
cache10–13-0.0521%7 Jul →
inferno12–120.0114%5 Jul →
train2–13-0.0418%5 Jul →
cache10–130.0417%5 Jul →
cache13–70.1123%4 Jul →
office11–130.0324%4 Jul →
inferno13–60.0821%4 Jul →
inferno5–130.0011%4 Jul →
cache13–7-0.0019%4 Jul →
dust28–13-0.0439%3 Jul →
office13–80.0627%3 Jul →
cache13–30.1619%3 Jul →
train13–11-0.0113%3 Jul →
nuke5–130.1320%3 Jul →
nuke7–13-0.0217%3 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 →

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