THE SUN

THE SUN — CS2 Stats

US76561198294259769[U:1:333994041]Steam profile ↗✓ No bans

1,045Tracked matches57%Win rate2025Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating4,738Grey band · top ~79.9% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 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: 4,738 +710 26 Jul – 14 Oct · 17 days played
3,3194,913peak 4,91326 Jul14 Oct
4,913Peak Premier in tracked matches
46Days played since 2026-07-25

Premier CS Rating

  • 175 below peak (4,913)
  • +982 over 30 days · improving
  • +710 over 90 days
  • Next: Light Blue band at 5,000 — 262 to go

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

Share this profile

CSDB.GGTHE SUNFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,738 · Grey 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

Aim66
Positioning47
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateWLLLLWWWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · −3ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 675ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 639ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 641ms

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 (+1.5 against its own average).

Aim6.6
Utility5.6
Positioning4.7
Opening Duels1.9
Clutch4.2

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 627ms 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

Aim6.6
Positioning4.7
Utility5.6
Mechanics7.3
Opening Duels2.5
Win Impact7.4

Composite 5.3/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time624ms−29ms
first ⅓ avg 652ms → last ⅓ avg 624ms
Headshot accuracy17.1%−3.0%
first ⅓ avg 20.1% → last ⅓ avg 17.1%

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

0.16Best match rating · 13–8 · cache, 25 Jul →
50%Best headshot accuracy · 3–1 · nuke, 9 Aug →
391msFastest reaction time · 13–11 · vertigo, 4 Oct →
13–0Biggest win · nuke, 2 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 71% over 7mirageWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageD227–1532%-0.02
dust2D155–1033%-0.03
nukeA149–564%-0.01
infernoA117–464%-0.02
anubisB105–550%-0.01
ancientC83–538%-0.03
cacheS75–271%0.02
vertigoA53–260%-0.04
trainC52–340%-0.02
office—10–10%-0.09
italy—10–10%-0.06
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 22). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

43Matches
44%Win rate
0.76Avg K/D
64.0ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1450%0.7611.3
Dust21225%0.699.9
Inferno729%0.7511.1
Nuke560%0.7711.4
Anubis367%0.8010.0
Vertigo2100%1.0215.5

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.

17.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
35.3%Spray accuracy
82.8%Counter-strafing
10.2°Preaim
627msReaction time
41.7%T opening success
38.4%CT opening success
0.58Enemies flashed / flash
2.1%Flash assists
8.50HE damage / grenade
10.82Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.4099% — below the 40% mark we flag

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.

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–10-0.0115%16 Oct →
mirage7–13-0.0710%15 Oct →
ancient11–130.0212%15 Oct →
train4–130.0329%15 Oct →
mirage11–130.0014%14 Oct →
nuke13–40.0116%13 Oct →
cache13–2-0.0215%13 Oct →
mirage13–4-0.0528%12 Oct →
inferno13–8-0.0128%10 Oct →
ancient13–10-0.117%10 Oct →
ancient12–12-0.0316%9 Oct →
dust213–8-0.0620%8 Oct →
mirage11–13-0.0022%8 Oct →
mirage13–20.0311%6 Oct →
cache13–11-0.0018%6 Oct →
nuke13–8-0.0317%6 Oct →
inferno13–10-0.0119%5 Oct →
office6–13-0.0912%5 Oct →
anubis13–11-0.027%4 Oct →
inferno8–130.0116%4 Oct →
cache8–2-0.0218%4 Oct →
vertigo13–11-0.0122%4 Oct →
mirage9–13-0.0212%3 Oct →
anubis6–13-0.0812%3 Oct →
inferno7–13-0.0326%3 Oct →
mirage5–13-0.0514%2 Oct →
nuke13–0-0.0338%2 Oct →
inferno13–8-0.0513%2 Oct →
mirage9–13-0.0019%2 Oct →
train12–120.0017%2 Oct →
vertigo10–13-0.1013%2 Oct →
italy2–13-0.0623%1 Oct →
fachwerk13–6-0.0610%1 Oct →
mirage8–13-0.0412%1 Oct →
nuke13–11-0.0517%29 Sept →
ancient13–30.0323%29 Sept →
cache8–130.0315%28 Sept →
dust26–13-0.0714%27 Sept →
train13–11-0.0523%27 Sept →
mirage13–10-0.0312%27 Sept →
inferno13–8-0.0115%26 Sept →
dust26–13-0.0619%26 Sept →
anubis13–8-0.0415%23 Sept →
ancient13–20.0215%22 Sept →
dust29–13-0.0620%22 Sept →
dust213–9-0.0024%21 Sept →
mirage2–13-0.0617%21 Sept →
ancient5–13-0.1014%21 Sept →
dust25–13-0.0522%21 Sept →
mirage13–80.0614%20 Sept →
dust212–12-0.0318%19 Sept →
nuke6–130.0317%19 Sept →
anubis13–30.1021%19 Sept →
inferno13–10.0918%18 Sept →
nuke13–5-0.0115%17 Sept →
dust213–40.0416%16 Sept →
dust213–80.1218%12 Sept →
train11–13-0.0819%12 Sept →
mirage12–12-0.0515%12 Sept →
mirage10–13-0.0121%10 Sept →
anubis9–130.0710%10 Sept →
mirage16–14-0.079%7 Sept →
ancient11–13-0.0320%5 Sept →
cache6–13-0.0222%3 Sept →
vertigo12–12-0.0623%3 Sept →
ancient4–13-0.0311%3 Sept →
anubis9–130.0320%28 Aug →
mirage11–130.0128%28 Aug →
dust25–13-0.0715%28 Aug →
nuke13–70.0118%26 Aug →
anubis13–10-0.0328%26 Aug →
anubis13–10-0.0623%14 Aug →
nuke1–130.0131%13 Aug →
mirage13–50.0620%12 Aug →
nuke10–13-0.0519%11 Aug →
inferno6–13-0.095%9 Aug →
dust27–13-0.0711%9 Aug →
nuke3–1-0.0450%9 Aug →
mirage11–130.0216%8 Aug →
vertigo13–4-0.0332%8 Aug →
dust22–13-0.0230%8 Aug →
train13–90.0114%8 Aug →
dust23–13-0.0715%7 Aug →
anubis4–13-0.035%7 Aug →
dust213–7-0.0411%7 Aug →
mirage6–13-0.0531%2 Aug →
inferno16–13-0.0322%2 Aug →
nuke13–30.0024%2 Aug →
nuke3–13-0.0241%2 Aug →
inferno13–30.0221%1 Aug →
dust21–13-0.0329%30 Jul →
mirage13–5-0.0614%29 Jul →
mirage14–16-0.0116%26 Jul →
mirage11–13-0.0023%26 Jul →
nuke9–13-0.0215%26 Jul →
cache13–0-0.007%26 Jul →
nuke9–3-0.018%26 Jul →
inferno6–9-0.1421%26 Jul →
cache13–80.1614%25 Jul →
anubis12–12-0.058%25 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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