saturn

saturn — CS2 Stats

TH76561198993623665[U:1:1033357937]Steam profile ↗✓ No bans

2,377Tracked matches52%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
FaceitLevel 9 · 1,761 ELOTop 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,761 → 1,761
+3Tracked matches · now 2,377
0.0ppWin rate · 51.7% → 51.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 20 Jan 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,705 +581 24 Jan – 19 May · 25 days played
22,50525,950peak 25,95024 Jan19 May
Faceit ELO: 1,761 +0 23 Sept – 24 Sept · 2 observations
1,7611,761peak 1,76123 Sept24 Sept
26,254Peak Premier in tracked matches
1,761Highest Faceit ELO seen on CSDB
32Days played since 2026-01-20

Faceit ELO

  • At peak — 1,761
  • Next: Level 10 at 2,001 — 240 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-23
  • Level 8 first seen 2026-09-23

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.

Share this profile

CSDB.GGsaturnFACEITLevel 9 · 1,761 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,761csdb.gg/stats

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Performance scores

Aim74
Positioning58
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLWWWLTL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · +52ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 699ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

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 Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.4
Utility3.7
Positioning5.8
Opening Duels3.6
Clutch4.0

Strong T-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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 572ms 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

Aim7.4
Positioning5.8
Utility3.7
Mechanics8.0
Opening Duels3.2
Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time574ms−2ms
first ⅓ avg 576ms → last ⅓ avg 574ms
Headshot accuracy18.4%+1.1%
first ⅓ avg 17.3% → last ⅓ avg 18.4%

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

0.23Best match rating · 13–2 · dust2, 26 Jan →
32%Best headshot accuracy · 13–10 · dust2, 31 Jan →
359msFastest reaction time · 0–13 · mirage, 25 Jan →
13–1Biggest win · dust2, 19 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 70% over 20mirageWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC3011–1937%0.00
dust2S2014–670%0.03
ancientA1810–856%0.01
nukeA138–562%0.01
anubisA116–555%0.02
inferno—42–250%0.02
overpass—32–167%0.00
cache—10–10%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

440Matches
53%Win rate
1.09Avg K/D
85.3ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4757%1.1515.8
Anubis2646%1.1615.7
Ancient2157%1.1716.9
Nuke1540%1.1616.4
Dust21233%1.0415.3
Inferno1050%1.2818.4
Vertigo633%0.9115.5
Overpass3100%1.6417.7

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.

18.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
32.7%Spray accuracy
86.1%Counter-strafing
8.8°Preaim
572msReaction time
49.6%T opening success
36.4%CT opening success
0.70Enemies flashed / flash
4.0%Flash assists
6.51HE damage / grenade
4.50Flashes / 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 36.3889% — 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.

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0120%24 Sept →
anubis10–130.0317%24 Sept →
nuke13–11-0.038%24 Sept →
mirage8–13-0.0617%5 Jul →
ancient6–20.0818%19 May →
mirage13–10-0.0725%19 May →
dust213–110.0715%2 May →
mirage9–13-0.0614%2 May →
cache12–120.0719%29 Apr →
mirage6–130.0524%23 Apr →
dust213–1-0.0015%19 Apr →
dust26–130.0219%19 Apr →
anubis6–13-0.0416%31 Mar →
ancient13–30.0523%31 Mar →
mirage7–13-0.0012%12 Mar →
ancient13–40.1525%12 Mar →
ancient13–60.0015%24 Feb →
mirage9–13-0.0125%23 Feb →
nuke13–6-0.0019%23 Feb →
anubis13–20.1018%23 Feb →
inferno6–13-0.0528%23 Feb →
mirage13–5-0.0124%23 Feb →
mirage3–13-0.036%12 Feb →
mirage13–30.1416%12 Feb →
ancient7–130.0517%11 Feb →
dust213–70.0318%11 Feb →
ancient13–80.0324%11 Feb →
nuke10–130.0617%11 Feb →
mirage5–130.0125%11 Feb →
ancient7–13-0.0016%10 Feb →
overpass13–30.0915%10 Feb →
ancient13–6-0.0222%10 Feb →
ancient7–13-0.0516%9 Feb →
ancient7–13-0.0320%9 Feb →
anubis13–70.0516%9 Feb →
mirage2–130.0123%9 Feb →
nuke13–70.0213%9 Feb →
mirage9–130.0418%9 Feb →
nuke13–7-0.0712%9 Feb →
mirage13–4-0.0321%9 Feb →
mirage6–13-0.0015%8 Feb →
mirage11–130.0213%8 Feb →
overpass8–13-0.0625%7 Feb →
dust213–30.0727%7 Feb →
mirage13–110.0217%7 Feb →
nuke4–130.0313%7 Feb →
ancient7–130.000%3 Feb →
dust29–13-0.0215%3 Feb →
dust213–3-0.0118%2 Feb →
inferno6–130.0222%2 Feb →
inferno13–40.0615%2 Feb →
mirage5–13-0.0614%1 Feb →
nuke14–16-0.0118%1 Feb →
dust213–7-0.0224%1 Feb →
anubis10–13-0.0517%31 Jan →
nuke6–130.0125%31 Jan →
nuke13–100.0217%31 Jan →
dust213–80.0314%31 Jan →
dust213–100.0332%31 Jan →
mirage13–90.0424%30 Jan →
nuke11–130.0322%30 Jan →
ancient11–13-0.0031%30 Jan →
dust27–13-0.016%29 Jan →
anubis13–80.0313%29 Jan →
dust211–130.0218%29 Jan →
anubis6–13-0.0328%28 Jan →
dust27–10.1131%28 Jan →
inferno13–100.0615%28 Jan →
dust211–130.0217%27 Jan →
ancient10–13-0.0215%26 Jan →
nuke13–90.0415%26 Jan →
mirage12–16-0.0116%26 Jan →
mirage13–70.0622%26 Jan →
dust213–20.2320%26 Jan →
anubis13–30.0213%26 Jan →
ancient13–11-0.0415%25 Jan →
mirage0–13-0.039%25 Jan →
mirage16–130.0618%25 Jan →
mirage13–80.0319%24 Jan →
nuke13–60.0514%24 Jan →
mirage5–13-0.0129%24 Jan →
dust213–80.0213%24 Jan →
ancient13–90.0619%24 Jan →
overpass16–14-0.0319%24 Jan →
mirage8–13-0.0614%23 Jan →
ancient13–6-0.0413%23 Jan →
dust213–3-0.0226%23 Jan →
nuke13–10-0.0417%23 Jan →
ancient13–6-0.0122%22 Jan →
anubis13–70.1120%22 Jan →
mirage13–50.0612%22 Jan →
mirage11–13-0.0310%22 Jan →
dust28–13-0.0023%22 Jan →
dust213–70.0521%21 Jan →
anubis13–70.0011%21 Jan →
anubis12–120.0019%21 Jan →
mirage8–13-0.019%21 Jan →
dust213–40.0423%21 Jan →
ancient3–130.0528%20 Jan →
mirage7–13-0.0714%20 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 →