Rim Receiver

Rim Receiver — CS2 Stats

SS76561198068717557[U:1:108451829]Steam profile ↗✓ No bans

1,261Tracked matches42%Win rate2020Tracked since
3,125Hours in CS2Hrs last 2 wks
CSDB Rating4.1 DevelopingPositional Player
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 71 days played since 8 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,390 -2,379 8 Dec4 Jul · 33 days played
11,39014,338peak 14,3388 Dec4 Jul
14,369Peak Premier in tracked matches
709Highest Faceit ELO seen on CSDB
71Days played since 2025-12-08

Faceit ELO

  • At peak — 709
  • Next: Level 3 at 751 42 to go
  • Reached: Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGRim ReceiverPEAK ELO709csdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility27

0–100 skill scores via Leetify.

Recent form

COLD42508Last 10042%Win rateWLTWLLLLTL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.0pp headshot accuracy · −38ms 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

  • 221 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 594ms

Last 10

  • 262 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 568ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 587ms

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 against its own average).

Aim5.4
Utility2.7
Positioning5.2
Opening Duels4.1
Clutch5.0

Strong 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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 57% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim5.4
Positioning5.2
Utility2.7
Mechanics6.3
Opening Duels3.4
Win Impact2.4

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time610ms+2ms
first ⅓ avg 608ms → last ⅓ avg 610ms
Headshot accuracy14.8%−1.2%
first ⅓ avg 16.0% → last ⅓ avg 14.8%

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 · 9–2 · nuke, 23 Apr
30%Best headshot accuracy · 13–5 · ancient, 16 Feb
422msFastest reaction time · 1–13 · nuke, 17 Jul
13–1Biggest win · dust2, 24 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
36In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 6overpassWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%0.00
nukeB24121250%-0.00
mirageD1541127%-0.01
infernoC104640%-0.00
overpassD71614%-0.04
ancientS64267%0.02
train32167%0.02
vertigo2020%0.01
cache2020%-0.00
office2020%-0.02
anubis1010%0.01
poseidon1010%-0.04
italy110100%-0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,044Lifetime kills
0.98K/D
4,638Matches
44.0%Match win rate
40.2%Headshot %
16.6%Shot accuracy · Top 25% of tracked players
12,526MVPs
1,764Hours (in match)
6,091Bombs planted
1,220Bombs defused

Most-used weapons

AK-4724,027
AWP8,762
SSG 082,545
MAC-102,153
FAMAS2,000
Knife1,883

Lifetime map wins

12,053dust2
7,168inferno
3,574nuke
1,833train
1,116cbble
905lake
668vertigo
335office

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

Faceit stats

Combat

220Matches
47%Win rate
0.95Avg K/D
75.6ADR
46%Headshot %

Clutches & streaks

45%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7151%0.9715.1
Inferno3540%0.9715.1
Nuke2857%0.9514.8
Ancient1937%0.9714.9
Anubis1844%0.9212.5
Vertigo1354%0.8314.6
Overpass1250%0.9514.2
Dust21225%1.0415.3

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.

15.1%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.8%Spray accuracy
78.4%Counter-strafing
10.5°Preaim
601msReaction time
30.6%T opening success
57.0%CT opening success
0.51Enemies flashed / flash
3.5%Flash assists
7.30HE damage / grenade
2.98Flashes / 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 2.9772 — 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 30.6108% — below the 40% mark we flag

Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0319%10 Sept
nuke7–13-0.0715%7 Sept
mirage15–15-0.0116%30 Aug
nuke13–100.1116%23 Aug
anubis5–130.0112%20 Aug
dust210–13-0.050%2 Aug
nuke11–13-0.0510%22 Jul
nuke1–13-0.0416%17 Jul
vertigo12–120.0116%12 Jul
inferno7–13-0.0614%7 Jul
cache12–120.0329%7 Jul
poseidon5–9-0.046%6 Jul
cache12–12-0.0410%6 Jul
dust27–130.0115%4 Jul
office9–13-0.0422%24 Jun
mirage13–30.0811%21 Jun
overpass7–13-0.069%19 Jun
dust213–4-0.070%19 Jun
nuke7–13-0.0222%6 May
nuke13–7-0.0110%24 Apr
dust213–10.0011%24 Apr
overpass10–13-0.0620%24 Apr
mirage13–3-0.077%24 Apr
nuke9–20.1714%23 Apr
nuke8–13-0.0424%21 Apr
nuke7–130.0122%7 Apr
dust213–6-0.016%5 Apr
dust25–13-0.0917%1 Apr
mirage13–80.0826%25 Mar
mirage11–13-0.0317%23 Mar
inferno13–60.0214%19 Mar
italy13–3-0.0017%18 Mar
dust213–10-0.0624%16 Mar
nuke16–14-0.0423%14 Mar
inferno7–13-0.0713%13 Mar
nuke10–13-0.0410%12 Mar
nuke9–130.0322%12 Mar
mirage15–15-0.0112%11 Mar
dust213–160.0225%10 Mar
nuke13–11-0.0715%10 Mar
inferno11–130.0212%9 Mar
mirage8–13-0.0829%8 Mar
mirage13–16-0.0217%5 Mar
dust29–130.0426%3 Mar
ancient13–100.028%1 Mar
vertigo4–90.0218%1 Mar
inferno13–4-0.0211%27 Feb
nuke13–40.0210%25 Feb
dust25–13-0.0117%24 Feb
dust213–50.0414%23 Feb
dust213–9-0.0120%22 Feb
inferno13–100.0621%21 Feb
overpass13–100.0119%19 Feb
dust28–130.0023%18 Feb
mirage15–150.0027%17 Feb
ancient13–50.0930%16 Feb
dust211–130.0717%14 Feb
train12–120.0126%13 Feb
dust213–60.0321%13 Feb
mirage8–13-0.0212%10 Feb
inferno13–70.1116%10 Feb
dust27–130.0111%10 Feb
nuke10–13-0.0215%6 Feb
dust213–90.0121%4 Feb
nuke10–13-0.0214%3 Feb
nuke13–60.1428%30 Jan
inferno7–13-0.0813%27 Jan
inferno13–16-0.054%27 Jan
dust213–90.0322%27 Jan
ancient9–13-0.0616%26 Jan
mirage7–130.0316%26 Jan
mirage13–90.0514%14 Jan
overpass12–16-0.0512%11 Jan
dust213–40.1016%11 Jan
ancient9–13-0.0112%10 Jan
inferno15–150.0321%8 Jan
ancient13–4-0.0317%8 Jan
dust213–8-0.009%1 Jan
train13–30.0211%1 Jan
nuke11–13-0.0124%31 Dec
overpass4–13-0.0314%30 Dec
ancient13–10.0918%28 Dec
nuke13–10-0.0226%28 Dec
office9–130.0114%27 Dec
nuke13–7-0.0120%27 Dec
mirage5–13-0.0418%27 Dec
nuke13–8-0.0010%26 Dec
dust213–1-0.0328%26 Dec
dust216–14-0.0217%19 Dec
mirage3–13-0.077%19 Dec
nuke13–9-0.0113%19 Dec
train13–40.0319%19 Dec
dust24–130.0428%16 Dec
nuke1–13-0.0419%16 Dec
nuke13–5-0.0112%11 Dec
dust210–13-0.0112%11 Dec
overpass4–13-0.0121%11 Dec
mirage11–13-0.0412%10 Dec
overpass9–13-0.056%10 Dec
dust24–100.1322%8 Dec

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 →