sr

sr — CS2 Stats

76561198115616399[U:1:155350671]Steam profile ↗✓ No bans

1,056Tracked matches50%Win rate2020Tracked since
4,786Hours in CS3Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating21,043Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#69396 of 259899 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 21,043 +1,568 27 Jan – 1 Nov · 22 days played
19,47522,276peak 22,27627 Jan1 Nov
22,509Peak Premier in tracked matches
32Days played since 2025-01-27

Premier CS Rating

  • 1,233 below peak (22,276)
  • +172 over 30 days · steady
  • Next: Red band at 25,000 — 3,957 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate41.5%46.8%48.2%6.7% short
Shot accuracy15.2%13.0%13.2%above
Kill/death ratio0.961.061.070.11 short
Match win rate43.0%46.3%46.9%4.0% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsrFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,043 · Pink bandcsdb.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

Aim73
Positioning59
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLWTWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +2.8pp headshot accuracy · +23ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 522ms

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 (+1.2 against its own average).

Aim7.3
Utility6.7
Positioning5.9
Opening Duels4.6
Clutch4.6

Strong CT-side openerEffective 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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 59% on CT to 42% 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

Aim7.3
Positioning5.9
Utility6.7
Mechanics5.9
Opening Duels5.1
Win Impact5.0

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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time525ms−92ms
first ⅓ avg 618ms → last ⅓ avg 525ms
Headshot accuracy15.5%+1.4%
first ⅓ avg 14.1% → last ⅓ avg 15.5%

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

0.33Best match rating · 9–2 · inferno, 17 Oct →
30%Best headshot accuracy · 10–13 · cache, 26 Sept →
406msFastest reaction time · 6–13 · mirage, 25 Sept →
13–1Biggest win · dust2, 7 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 75% over 12mirageWeakest map · 39% over 28
MapGradePlayedRecordWin rateAvg rating
mirageC2811–1739%0.01
infernoC187–1139%0.00
dust2B158–753%0.00
nukeS129–375%0.03
cacheB105–550%-0.00
ancientC73–443%-0.02
trainS64–267%0.01
anubis—32–167%0.01
vertigo—10–10%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,362Lifetime kills
0.96K/D
7,363Matches
43.0%Match win rate
41.5%Headshot %
15.2%Shot accuracy · Top 50% of Level 8 players
13,961MVPs
3,187Hours (in match)
7,148Bombs planted
2,146Bombs defused

Most-used weapons

AK-4747,467
AWP14,319
SSG 082,950
P2502,582
SG 5532,530
MAC-102,389

Lifetime map wins

10,302inferno
9,605dust2
4,326train
2,630nuke
1,572vertigo
1,406cbble
197lake
100safehouse

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

Faceit stats

Combat

809Matches
51%Win rate
0.95Avg K/D
73.6ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4445%1.0916.4
Inferno2264%1.1114.8
Vertigo1833%0.9713.1
Anubis1753%1.0014.4
Ancient1631%0.8613.6
Overpass1040%0.9214.4
Nuke757%1.1815.6
Dust2475%2.1424.8

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.

15.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
39.8%Spray accuracy
76.4%Counter-strafing
9.9°Preaim
521msReaction time
42.4%T opening success
58.6%CT opening success
0.73Enemies flashed / flash
13.5%Flash assists
8.68HE damage / grenade
13.40Flashes / match

Recommended for you

Spend your practice time on Mirage

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

39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0421%1 Nov →
cache13–8-0.0114%1 Nov →
ancient15–15-0.0514%31 Oct →
dust213–70.0513%31 Oct →
inferno9–20.3316%17 Oct →
dust214–16-0.077%26 Sept →
cache10–13-0.0330%26 Sept →
cache13–50.0910%25 Sept →
mirage6–13-0.0613%25 Sept →
mirage13–110.0325%25 Sept →
mirage9–130.0114%25 Sept →
cache8–130.0015%8 Sept →
inferno11–13-0.0319%8 Sept →
dust210–13-0.0113%8 Sept →
ancient13–100.0014%8 Sept →
mirage6–13-0.058%1 Sept →
inferno13–7-0.026%31 Aug →
mirage13–7-0.0319%31 Aug →
mirage10–13-0.0812%31 Aug →
mirage13–80.0116%31 Aug →
inferno10–13-0.0221%25 Aug →
dust213–9-0.0017%25 Aug →
nuke13–40.1221%25 Aug →
dust213–40.0816%25 Aug →
mirage13–70.0017%25 Aug →
inferno7–13-0.0010%25 Aug →
mirage13–20.0313%24 Aug →
dust211–130.0125%24 Aug →
nuke13–30.1225%24 Aug →
mirage15–150.0112%24 Aug →
inferno7–13-0.0412%24 Aug →
dust213–20.0210%23 Aug →
inferno13–80.1011%23 Aug →
cache3–1-0.0117%23 Aug →
mirage11–130.0015%23 Aug →
cache2–13-0.0317%23 Aug →
inferno5–13-0.0611%22 Aug →
nuke13–60.0321%22 Aug →
vertigo12–12-0.0714%22 Aug →
mirage13–20.0227%19 Aug →
cache4–13-0.0811%19 Aug →
inferno11–13-0.0714%19 Aug →
dust213–80.0424%19 Aug →
cache14–16-0.0416%18 Aug →
inferno6–13-0.096%18 Aug →
mirage13–80.0518%13 Aug →
mirage13–110.0210%13 Aug →
nuke6–130.0812%12 Aug →
dust213–7-0.008%12 Aug →
cache13–110.0418%8 Aug →
nuke13–40.0121%8 Aug →
mirage11–130.0018%8 Aug →
inferno13–11-0.0014%8 Aug →
inferno15–15-0.0114%8 Aug →
nuke13–60.0015%27 Jul →
mirage6–130.0515%27 Jul →
dust26–13-0.0417%26 Jul →
cache16–140.0715%26 Jul →
nuke13–90.0518%19 Mar →
mirage3–13-0.0112%19 Mar →
nuke1–13-0.0519%19 Mar →
dust25–13-0.0311%19 Mar →
anubis13–7-0.0112%17 Mar →
mirage13–160.0016%17 Mar →
ancient3–13-0.0315%16 Mar →
mirage11–13-0.0318%16 Mar →
mirage11–13-0.0118%7 Mar →
dust213–1-0.0111%7 Mar →
inferno13–3-0.0410%7 Mar →
mirage10–13-0.0613%25 Feb →
anubis13–70.0013%25 Feb →
inferno4–13-0.025%25 Feb →
train13–8-0.0111%25 Feb →
nuke13–8-0.0121%25 Feb →
inferno13–60.0524%19 Feb →
nuke16–14-0.0227%19 Feb →
ancient2–13-0.0916%12 Feb →
train13–40.0517%12 Feb →
mirage10–130.0112%12 Feb →
train13–90.0510%12 Feb →
dust213–80.0316%11 Feb →
ancient16–14-0.046%11 Feb →
mirage9–130.0614%11 Feb →
nuke13–60.0117%11 Feb →
dust211–13-0.0515%4 Feb →
anubis9–130.0311%31 Jan →
train15–15-0.0313%31 Jan →
nuke8–13-0.0416%31 Jan →
mirage3–13-0.0111%31 Jan →
mirage10–130.0510%31 Jan →
ancient11–130.0312%31 Jan →
inferno5–130.0011%31 Jan →
mirage13–30.0526%31 Jan →
ancient13–30.0413%30 Jan →
inferno13–40.058%30 Jan →
train10–13-0.0515%29 Jan →
dust212–160.0010%29 Jan →
train13–70.058%29 Jan →
mirage13–60.0620%29 Jan →
mirage13–40.0723%27 Jan →

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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