sun

sun — CS2 Stats

76561198282903892[U:1:322638164]Steam profile ↗✓ No bans

513Tracked matches55%Win rate2020Tracked since
1,288Hours in CS
CSDB Rating6.2 SolidOpening Duellist
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 513 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,035 +1,656 2 Mar – 29 Apr · 18 days played
12,37914,999peak 14,9992 Mar29 Apr
14,999Peak Premier in tracked matches
1,307Highest Faceit ELO seen on CSDB
51Days played since 2025-03-02

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 Level 6 among CSDB-tracked players (n=13,483), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.4%44.8%45.7%meets
Shot accuracy12.3%12.4%12.7%0.4% short
Kill/death ratio0.911.031.050.14 short
Match win rate40.0%45.2%45.7%5.7% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsunFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,307csdb.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

Aim80
Positioning48
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWLWWLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +63ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 629ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 559ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.3 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.0
Utility3.3
Positioning4.8
Opening Duels5.7
Clutch4.0

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 83% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower 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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 66% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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

Aim8.0
Positioning4.8
Utility3.3
Mechanics8.0
Opening Duels4.5
Win Impact6.7

Composite 6.2/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time560ms−5ms
first ⅓ avg 566ms → last ⅓ avg 560ms
Headshot accuracy20.6%+1.0%
first ⅓ avg 19.6% → last ⅓ avg 20.6%

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

0.15Best match rating · 13–5 · mirage, 18 Mar →
39%Best headshot accuracy · 13–9 · nuke, 7 Mar →
344msFastest reaction time · 13–1 · inferno, 18 Aug →
13–1Biggest win · inferno, 18 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 61% over 31trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3119–1261%0.01
infernoA2314–961%0.01
nukeD133–1023%0.01
anubisB115–645%-0.02
ancientB63–350%-0.00
trainD51–420%0.01
dust2—43–175%0.00
overpass—43–175%0.02
vertigo—21–150%-0.02
alpine—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

58,252Lifetime kills
0.91K/D
2,879Matches
40.0%Match win rate
46.4%Headshot % · Top 50% of Level 6 players
12.3%Shot accuracy
6,274MVPs
1,288Hours (in match)
2,155Bombs planted
606Bombs defused

Most-used weapons

AK-4721,053
AWP9,734
SG 5531,275
Knife867
P250801

Lifetime map wins

2,822inferno
1,859nuke
1,690vertigo
1,451train
880dust2
256cbble
81lake
46bank

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

Faceit stats

Combat

265Matches
49%Win rate
1.00Avg K/D
73.4ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage8844%1.1015.2
Inferno5155%1.0114.7
Nuke2857%1.0114.0
Anubis2365%0.9612.9
Dust22241%1.0115.0
Ancient1656%0.9613.1
Overpass1242%0.9313.0
Vertigo10%0.569.0

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.

20.2%Headshot accuracy
32.5%Accuracy (enemy spotted)
35.1%Spray accuracy
85.8%Counter-strafing
7.5°Preaim
567msReaction time
29.4%T opening success
66.3%CT opening success
0.54Enemies flashed / flash
6.4%Flash assists
10.56HE damage / grenade
4.39Flashes / 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 29.383% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno2–110.0533%22 Mar →
anubis4–13-0.0211%22 Mar →
mirage13–100.0124%22 Mar →
inferno5–13-0.0126%21 Mar →
nuke13–70.0335%21 Mar →
inferno13–70.0717%19 Mar →
inferno7–13-0.0119%19 Mar →
anubis6–13-0.035%19 Mar →
mirage13–20.0513%19 Mar →
nuke5–130.0027%19 Mar →
mirage8–13-0.0230%19 Mar →
vertigo9–10.1419%19 Mar →
mirage13–60.0619%16 Mar →
mirage9–5-0.0131%16 Mar →
mirage13–90.0622%16 Mar →
mirage13–100.0522%12 Feb →
mirage6–130.0223%12 Feb →
nuke6–90.0232%12 Feb →
alpine13–9-0.048%12 Feb →
nuke6–130.0826%5 Feb →
dust20–13-0.0617%5 Feb →
nuke15–15-0.0319%21 Oct →
overpass13–7-0.0130%15 Oct →
mirage13–9-0.0313%11 Sept →
nuke10–130.0415%18 Aug →
inferno13–10.0429%18 Aug →
inferno16–140.0525%11 Aug →
inferno11–12-0.0216%11 Aug →
overpass13–16-0.0616%5 Aug →
inferno9–3-0.037%3 Aug →
inferno6–9-0.0527%30 Jul →
overpass13–50.0720%30 Jul →
overpass13–50.068%29 Jul →
dust213–90.0218%21 Jul →
mirage13–70.0224%21 Jul →
inferno13–50.0116%21 Jul →
anubis13–11-0.0526%13 Jul →
mirage16–120.009%12 Jul →
dust213–10-0.0529%25 Jun →
inferno13–11-0.0517%21 Jun →
anubis9–130.0329%21 Jun →
nuke7–13-0.0617%15 Jun →
inferno13–70.0311%15 Jun →
nuke4–60.0610%6 Jun →
inferno10–13-0.0616%5 Jun →
anubis13–11-0.0310%2 Jun →
inferno2–10-0.0620%1 Jun →
nuke3–130.028%31 May →
anubis13–3-0.0329%28 May →
anubis8–13-0.0326%19 May →
anubis13–11-0.017%5 May →
nuke2–13-0.0813%4 May →
train11–130.0318%29 Apr →
mirage13–50.0318%29 Apr →
mirage5–90.0527%29 Apr →
mirage5–13-0.063%19 Apr →
mirage3–13-0.1025%15 Apr →
inferno13–60.1020%13 Apr →
ancient9–13-0.0615%8 Apr →
mirage13–40.0613%8 Apr →
anubis3–13-0.0413%8 Apr →
vertigo0–9-0.1829%8 Apr →
mirage13–6-0.0315%7 Apr →
nuke15–15-0.008%7 Apr →
ancient13–80.079%6 Apr →
inferno13–100.0313%4 Apr →
mirage5–13-0.049%3 Apr →
anubis11–130.0111%31 Mar →
mirage10–13-0.0118%29 Mar →
train12–120.0329%29 Mar →
ancient8–130.057%29 Mar →
ancient13–8-0.0521%28 Mar →
mirage13–40.0116%28 Mar →
inferno13–11-0.0117%28 Mar →
inferno13–60.0222%28 Mar →
train1–130.0322%28 Mar →
ancient13–110.0417%21 Mar →
inferno10–13-0.0321%21 Mar →
train13–80.0016%21 Mar →
mirage13–110.0015%18 Mar →
mirage11–130.0522%18 Mar →
mirage13–50.1528%18 Mar →
ancient4–13-0.0816%17 Mar →
inferno13–20.017%17 Mar →
mirage12–12-0.0114%16 Mar →
dust213–30.0929%16 Mar →
inferno13–50.0215%14 Mar →
train11–13-0.0121%14 Mar →
inferno5–13-0.0414%14 Mar →
anubis13–7-0.0018%8 Mar →
mirage16–13-0.0014%8 Mar →
nuke13–90.0439%7 Mar →
nuke13–110.0224%3 Mar →
mirage13–110.0219%3 Mar →
mirage6–13-0.0725%3 Mar →
mirage13–90.0822%3 Mar →
inferno13–30.1116%3 Mar →
mirage3–80.0030%3 Mar →
mirage11–13-0.0217%2 Mar →
mirage13–80.0632%2 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.