Rahkaus

Rahkaus — CS2 Stats

AU76561199072646811[U:1:1112381083]Steam profile ↗✓ No bans

2,265Tracked matches41%Win rate2023Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating21,645Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59136 of 252708 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (13 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.

Rating over time

Premier CS Rating: 21,645 -1,909 12 Jul – 4 Oct · 8 days played
21,64524,999peak 24,99912 Jul4 Oct
Faceit ELO: 1,882 +0 29 Aug – 1 Sept · 2 observations
1,8821,882peak 1,88229 Aug1 Sept
24,999Peak Premier in tracked matches
1,882Highest Faceit ELO seen on CSDB
22Days played since 2026-07-08

Faceit ELO

  • At peak — 1,882
  • Next: Level 10 at 2,001 — 119 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-29
  • Level 8 first seen 2026-08-29

Premier CS Rating

  • 3,354 below peak (24,999)
  • -3,005 over 30 days · declining
  • -1,909 over 90 days
  • Next: Red band at 25,000 — 3,355 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.GGRahkausPREMIER21,645 · Pink bandPEAK ELO1,882csdb.gg/stats

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Performance scores

Aim84
Positioning59
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLLWWTLWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.4pp headshot accuracy · −88ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 538ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 530ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 25%
  • Avg reaction 574ms

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 Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim8.4
Utility5.7
Positioning5.9
Opening Duels4.7
Clutch3.8

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 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Areas to improve

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim8.4
Positioning5.9
Utility5.7
Mechanics7.5
Opening Duels3.8
Win Impact1.9

Composite 6.4/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time577ms−48ms
first ⅓ avg 625ms → last ⅓ avg 577ms
Headshot accuracy25.7%+1.6%
first ⅓ avg 24.1% → last ⅓ avg 25.7%

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

0.17Best match rating · 13–0 · cache, 1 Aug →
52%Best headshot accuracy · 9–13 · cache, 26 Jul →
422msFastest reaction time · 12–12 · vertigo, 1 Aug →
13–0Biggest win · cache, 1 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 71% over 7dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB178–947%0.00
cacheA148–657%0.03
ancientB137–654%0.03
anubisA127–558%0.03
mirageB126–650%0.01
dust2C114–736%-0.00
trainA85–363%0.05
vertigoS75–271%0.02
nukeC52–340%-0.01
overpass—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

192Matches
55%Win rate
1.08Avg K/D
81.5ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5564%1.0415.0
Ancient4052%1.0918.6
Dust23471%1.2515.9
Inferno2462%1.2017.7
Nuke1250%0.9514.9
Anubis922%1.0116.2
Overpass933%0.7813.1
Cache80%0.8314.9

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.

26.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.1%Spray accuracy
83.8%Counter-strafing
7.2°Preaim
576msReaction time
37.4%T opening success
53.0%CT opening success
0.56Enemies flashed / flash
6.2%Flash assists
9.37HE damage / grenade
8.60Flashes / 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. 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 37.3875% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0421%10 Oct →
nuke7–13-0.0312%10 Oct →
cache13–90.1019%10 Oct →
anubis13–10-0.0415%10 Oct →
inferno12–120.0128%10 Oct →
mirage13–160.0223%10 Oct →
mirage13–100.0337%7 Oct →
anubis7–130.0628%5 Oct →
inferno13–5-0.0541%4 Oct →
inferno13–16-0.0442%4 Oct →
ancient8–13-0.0421%4 Oct →
anubis13–50.069%7 Aug →
cache13–40.0631%7 Aug →
dust29–130.0042%7 Aug →
ancient13–4-0.0519%7 Aug →
mirage9–13-0.0220%7 Aug →
cache13–4-0.0227%7 Aug →
inferno13–8-0.0117%7 Aug →
mirage6–130.0123%7 Aug →
inferno8–130.0223%6 Aug →
cache8–13-0.0321%6 Aug →
cache12–12-0.0122%2 Aug →
inferno9–13-0.0342%2 Aug →
train11–130.0141%2 Aug →
ancient7–130.0522%2 Aug →
nuke12–12-0.0130%2 Aug →
inferno3–13-0.0732%1 Aug →
ancient5–130.0321%1 Aug →
cache13–00.1721%1 Aug →
train13–30.0317%1 Aug →
cache7–130.0230%1 Aug →
ancient13–6-0.0126%1 Aug →
overpass13–80.0425%1 Aug →
anubis13–100.0625%1 Aug →
vertigo12–12-0.0418%1 Aug →
train13–40.0723%1 Aug →
anubis12–12-0.0413%30 Jul →
vertigo13–40.0728%30 Jul →
inferno11–30.0616%30 Jul →
anubis3–130.0317%30 Jul →
vertigo13–30.0425%30 Jul →
ancient13–20.1326%29 Jul →
train7–13-0.0129%29 Jul →
vertigo13–50.0329%29 Jul →
inferno13–100.0828%29 Jul →
vertigo13–20.0334%29 Jul →
vertigo13–50.0245%27 Jul →
inferno7–13-0.0028%27 Jul →
anubis13–100.1327%27 Jul →
train13–110.0321%27 Jul →
nuke13–11-0.0326%27 Jul →
mirage9–13-0.0116%26 Jul →
inferno9–130.0322%26 Jul →
mirage13–50.1122%26 Jul →
dust24–13-0.0526%26 Jul →
mirage13–80.0325%26 Jul →
dust213–8-0.0021%26 Jul →
mirage13–4-0.0322%26 Jul →
train13–90.1031%26 Jul →
inferno0–13-0.060%26 Jul →
dust211–13-0.0614%26 Jul →
mirage0–13-0.0550%26 Jul →
dust210–13-0.0523%26 Jul →
cache9–13-0.0252%26 Jul →
anubis13–8-0.0212%22 Jul →
ancient6–130.0214%22 Jul →
ancient13–10-0.0117%21 Jul →
nuke13–70.0631%21 Jul →
vertigo12–120.0128%21 Jul →
cache13–3-0.0138%19 Jul →
dust213–11-0.0135%19 Jul →
dust213–110.0216%19 Jul →
mirage13–90.0229%19 Jul →
mirage11–130.0729%18 Jul →
dust28–130.0121%13 Jul →
anubis15–150.0019%13 Jul →
ancient13–10-0.0021%13 Jul →
inferno13–20.1230%13 Jul →
train9–130.0225%13 Jul →
inferno13–110.0513%12 Jul →
dust213–40.1035%12 Jul →
mirage7–5-0.014%12 Jul →
cache11–13-0.0617%12 Jul →
dust27–130.0023%12 Jul →
inferno13–90.0817%11 Jul →
ancient10–130.1027%11 Jul →
nuke7–13-0.0323%11 Jul →
anubis13–4-0.0124%11 Jul →
inferno0–2-0.090%11 Jul →
ancient4–13-0.0126%11 Jul →
anubis11–130.0629%10 Jul →
cache13–50.1226%10 Jul →
ancient13–110.1325%10 Jul →
cache13–110.0123%10 Jul →
dust27–13-0.0223%10 Jul →
ancient13–50.0227%9 Jul →
anubis13–80.0219%9 Jul →
train13–00.1342%8 Jul →
cache13–50.0834%8 Jul →
inferno13–2-0.0516%8 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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