SilvxR

SilvxR — CS2 Stats

ES76561199096920039[U:1:1136654311]Steam profile ↗✓ No bans

2,639Tracked matches66%Win rate2020Tracked since
6,038Hours in CS0Hrs last 2 wks
CSDB Rating8.1 StrongSupport
Premier CS Rating25,522Top 10% of 212,910 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#17208 of 259651 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (16 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: 25,522 -1,634 22 Jun – 18 Oct · 10 days played
24,99929,284peak 29,28422 Jun18 Oct
29,284Peak Premier in tracked matches
3,074Highest Faceit ELO seen on CSDB
37Days played since 2026-06-21

Faceit ELO

  • At peak — 3,074
  • Next: 3,500 ELO at 3,500 — 426 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-01
  • 2,500 ELO first seen 2026-09-01

Premier CS Rating

  • 3,762 below peak (29,284)
  • -853 over 90 days
  • Next: Gold band at 30,000 — 4,478 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate53.9%49.3%50.9%above
Shot accuracy12.8%13.4%11.8%above
Kill/death ratio1.181.121.18meets
Match win rate52.6%48.5%51.9%meets

Across every metric we can compare, this profile already matches the typical Gold band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGSilvxRPREMIER25,522 · Red bandPEAK ELO3,074csdb.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

Aim96
Positioning58
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY65–28–7Last 10065%Win rateWWWWLLLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.8pp headshot accuracy · −31ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 27%
  • Avg reaction 453ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 31%
  • Avg reaction 484ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 30%
  • Avg reaction 499ms

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 (+1.9 against its own average).

Aim9.6
Utility6.9
Positioning5.8
Opening Duels3.9
Clutch3.4

Sharp aimerStrong CT-side opener

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.6
Positioning5.8
Utility6.9
Mechanics8.4
Opening Duels3.6
Win Impact10.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time493ms−139ms
first ⅓ avg 632ms → last ⅓ avg 493ms
Headshot accuracy29.5%+1.7%
first ⅓ avg 27.8% → last ⅓ avg 29.5%

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

0.22Best match rating · 13–3 · nuke, 15 Jul →
100%Best headshot accuracy · 5–0 · vertigo, 5 Sept →
273msFastest reaction time · 0–6 · ancient, 12 Oct →
13–1Biggest win · anubis, 11 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W4Current streak
6–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 100% over 8vertigoWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA3922–1756%0.05
ancientA148–657%0.03
dust2S87–188%0.06
vertigoB84–450%0.04
mirageS88–0100%0.06
nukeS64–267%0.07
anubis—44–0100%0.07
cache—42–250%0.04
overpass—42–250%0.04
office—32–167%0.09
train—22–0100%0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

180,773Lifetime kills
1.18K/D · Top 50% of Red band
6,493Matches
52.6%Match win rate · Top 25% of Red band
53.9%Headshot % · Top 50% of Red band
12.8%Shot accuracy
21,903MVPs
3,283Hours (in match)
6,342Bombs planted
2,683Bombs defused

Most-used weapons

AK-4768,006
AWP16,625
MP96,364
Knife3,254
MAC-102,868

Lifetime map wins

22,025inferno
5,015nuke
4,023dust2
3,759vertigo
1,869train
452cbble
414office
137lake

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

Faceit stats

Combat

1,866Matches
54%Win rate
1.18Avg K/D
77.3ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient44151%1.2116.3
Inferno29865%1.3116.2
Anubis17948%1.1016.0
Nuke12459%1.1815.8
Overpass7751%1.2316.9
Mirage7148%1.0315.8
Dust24434%0.9714.4
Vertigo4448%1.0015.4

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.

27.6%Headshot accuracy
42.2%Accuracy (enemy spotted)
42.2%Spray accuracy
87.9%Counter-strafing
8.0°Preaim
494msReaction time
35.4%T opening success
53.5%CT opening success
0.64Enemies flashed / flash
12.3%Flash assists
9.24HE damage / grenade
10.64Flashes / 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 35.413% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–80.1337%18 Oct →
inferno8–10.2147%18 Oct →
inferno13–90.0427%12 Oct →
dust213–60.0112%12 Oct →
ancient0–6-0.0613%12 Oct →
ancient9–130.0120%11 Oct →
inferno10–130.0239%11 Oct →
anubis13–10.1044%11 Oct →
dust27–130.0341%11 Oct →
inferno13–80.0227%26 Sept →
vertigo6–130.0331%26 Sept →
vertigo5–00.05100%5 Sept →
mirage13–90.0317%4 Sept →
ancient7–130.0220%3 Sept →
inferno6–9-0.0023%1 Sept →
cache5–13-0.0022%30 Aug →
nuke13–110.0122%27 Aug →
mirage13–70.0920%27 Aug →
mirage13–90.1425%26 Aug →
inferno13–80.1619%26 Aug →
vertigo1–90.0338%26 Aug →
vertigo4–13-0.0157%25 Aug →
vertigo6–13-0.0418%25 Aug →
vertigo13–40.1012%24 Aug →
office12–120.0724%24 Aug →
ancient13–40.0822%24 Aug →
inferno13–80.1017%24 Aug →
mirage13–40.1037%21 Aug →
dust213–110.0926%21 Aug →
office13–100.0828%21 Aug →
ancient13–30.0639%21 Aug →
anubis13–6-0.0222%21 Aug →
vertigo13–40.0731%21 Aug →
anubis13–50.0723%21 Aug →
inferno13–60.0831%21 Aug →
mirage13–50.0843%20 Aug →
ancient7–130.0135%20 Aug →
overpass12–120.0235%19 Aug →
ancient13–10.1036%19 Aug →
mirage13–60.0213%19 Aug →
overpass9–13-0.0025%18 Aug →
anubis13–30.1332%18 Aug →
inferno12–120.0434%18 Aug →
inferno13–80.0034%13 Aug →
inferno13–50.0229%12 Aug →
mirage13–6-0.0129%11 Aug →
train13–60.0334%11 Aug →
ancient13–10.0113%11 Aug →
vertigo13–80.0633%11 Aug →
inferno11–13-0.0227%11 Aug →
office13–30.1250%10 Aug →
inferno12–120.0523%10 Aug →
mirage13–7-0.0122%10 Aug →
nuke13–50.1038%9 Aug →
inferno3–13-0.0450%9 Aug →
nuke13–100.0425%9 Aug →
inferno13–80.0629%9 Aug →
inferno9–20.0831%3 Aug →
inferno1–9-0.1314%24 Jul →
inferno9–50.0630%24 Jul →
inferno9–6-0.0041%20 Jul →
inferno11–130.0120%15 Jul →
nuke9–130.0821%15 Jul →
nuke13–30.2234%15 Jul →
inferno15–150.0623%15 Jul →
cache13–40.1028%15 Jul →
ancient13–90.0829%14 Jul →
inferno6–13-0.0216%14 Jul →
nuke7–13-0.0313%13 Jul →
inferno2–130.0439%13 Jul →
dust213–100.0226%13 Jul →
inferno13–90.0622%12 Jul →
inferno16–120.1622%12 Jul →
inferno9–130.0330%12 Jul →
dust213–100.0727%12 Jul →
dust216–120.0617%12 Jul →
ancient13–40.0521%12 Jul →
inferno15–150.0916%12 Jul →
inferno13–90.0826%12 Jul →
inferno13–30.1031%10 Jul →
ancient15–150.0223%3 Jul →
ancient2–13-0.0521%3 Jul →
inferno10–130.0530%3 Jul →
inferno13–110.0829%27 Jun →
inferno13–80.0643%27 Jun →
cache5–130.0152%26 Jun →
inferno9–130.0128%26 Jun →
ancient13–30.0617%26 Jun →
inferno13–70.0927%24 Jun →
dust213–10.0422%24 Jun →
overpass13–80.0934%24 Jun →
inferno13–70.0824%24 Jun →
overpass13–110.0726%24 Jun →
dust216–140.1628%23 Jun →
inferno4–130.0329%23 Jun →
inferno13–100.0223%22 Jun →
ancient13–110.0627%22 Jun →
cache13–60.0558%22 Jun →
train13–20.0240%22 Jun →
inferno5–13-0.0230%21 Jun →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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