SAATANA

SAATANA — CS2 Stats

76561198339688896[U:1:379423168]Steam profile ↗✓ No bans

1,994Tracked matches48%Win rate2021Tracked since
CSDB Rating6.2 SolidAll-Rounder
Premier CS Rating12,123Blue band · top ~43.6% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 12,123 +1,580 12 Aug – 3 Nov · 41 days played
10,00013,061peak 13,06112 Aug3 Nov
13,061Peak Premier in tracked matches
46Days played since 2026-08-08

Premier CS Rating

  • 938 below peak (13,061)
  • -189 over 30 days · steady
  • +1,580 over 90 days
  • Next: Purple band at 15,000 — 2,877 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGSAATANAFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER12,123 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning63
Utility63

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLWLLLWLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +31ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 577ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility6.3
Positioning6.3
Opening Duels4.1
Clutch6.0

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

jL

Plays most like jL 85% playstyle similarity

Most alike: utility contribution, 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

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

Aim7.2
Positioning6.3
Utility6.3
Mechanics7.5
Opening Duels5.6
Win Impact4.4

Composite 6.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time583ms−5ms
first ⅓ avg 587ms → last ⅓ avg 583ms
Headshot accuracy12.4%+2.7%
first ⅓ avg 9.8% → last ⅓ avg 12.4%

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

0.20Best match rating · 9–0 · nuke, 1 Oct →
43%Best headshot accuracy · 6–9 · inferno, 1 Oct →
414msFastest reaction time · 13–7 · anubis, 4 Sept →
13–1Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 56% over 9ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC239–1439%0.02
infernoC219–1243%0.01
dust2B1910–953%0.02
ancientD124–833%0.02
anubisA95–456%-0.00
cacheC73–443%-0.00
mirageC52–340%0.00
vertigo—31–233%-0.01
debris—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
37%Win rate
0.96Avg K/D
80.0ADR
32%Headshot %

Clutches & streaks

50%1v1 clutch win
12%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis450%0.9615.0
Vertigo250%1.0312.5
Nuke2100%1.3614.0
Mirage20%0.6110.0
Overpass1100%1.6016.0
Dust21100%1.7521.0
Cache10%1.0716.0
Ancient10%0.6111.0

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.

11.9%Headshot accuracy
38.5%Accuracy (enemy spotted)
37.0%Spray accuracy
83.6%Counter-strafing
9.7°Preaim
567msReaction time
56.6%T opening success
48.1%CT opening success
0.55Enemies flashed / flash
9.0%Flash assists
7.96HE damage / grenade
9.97Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.852% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–130.0910%3 Nov →
dust213–90.0217%3 Nov →
inferno10–13-0.0015%30 Oct →
dust29–13-0.0621%30 Oct →
nuke9–13-0.078%30 Oct →
dust213–7-0.0412%30 Oct →
ancient11–130.0013%29 Oct →
cache5–13-0.0510%29 Oct →
dust213–80.0215%25 Oct →
inferno6–9-0.098%24 Oct →
inferno6–9-0.135%24 Oct →
nuke5–9-0.0321%24 Oct →
cache13–100.016%23 Oct →
inferno13–60.0515%23 Oct →
nuke11–130.024%22 Oct →
mirage2–13-0.0820%22 Oct →
nuke13–110.0212%21 Oct →
cache1–13-0.048%20 Oct →
dust211–130.0213%20 Oct →
cache13–110.0713%19 Oct →
inferno13–8-0.0015%18 Oct →
nuke13–10.0010%18 Oct →
anubis13–100.018%14 Oct →
inferno9–13-0.0113%7 Oct →
nuke12–160.0512%4 Oct →
vertigo7–9-0.0620%1 Oct →
nuke9–00.200%1 Oct →
inferno6–9-0.0643%1 Oct →
dust213–9-0.038%30 Sept →
cache13–60.067%29 Sept →
anubis6–50.009%29 Sept →
nuke13–80.1611%28 Sept →
vertigo5–9-0.0810%28 Sept →
nuke2–9-0.0917%28 Sept →
ancient5–13-0.045%25 Sept →
dust210–130.0711%25 Sept →
dust215–150.0413%23 Sept →
inferno11–130.0620%23 Sept →
nuke16–140.0612%21 Sept →
inferno13–90.098%21 Sept →
dust216–140.0514%20 Sept →
nuke13–80.0512%20 Sept →
inferno11–13-0.0114%20 Sept →
dust21–13-0.0413%20 Sept →
ancient9–13-0.027%17 Sept →
dust213–90.1422%14 Sept →
dust213–80.0311%13 Sept →
mirage13–100.0715%12 Sept →
inferno15–150.0116%9 Sept →
ancient8–130.0414%8 Sept →
anubis6–130.0210%8 Sept →
nuke13–7-0.0416%7 Sept →
nuke13–110.028%4 Sept →
ancient13–50.0211%4 Sept →
inferno6–13-0.0715%4 Sept →
nuke13–4-0.018%4 Sept →
anubis13–70.017%4 Sept →
ancient13–40.0615%4 Sept →
dust28–130.1115%4 Sept →
ancient13–70.0917%3 Sept →
nuke6–13-0.016%3 Sept →
dust29–130.0914%3 Sept →
inferno16–130.0710%2 Sept →
anubis11–13-0.026%31 Aug →
anubis11–13-0.078%30 Aug →
nuke9–130.038%29 Aug →
anubis13–10-0.0110%29 Aug →
dust213–6-0.0115%29 Aug →
nuke8–130.0320%29 Aug →
nuke10–13-0.068%21 Aug →
inferno15–15-0.028%21 Aug →
dust24–13-0.0811%21 Aug →
mirage9–1-0.030%21 Aug →
ancient9–13-0.0110%21 Aug →
nuke3–130.0216%21 Aug →
dust213–80.0114%21 Aug →
ancient6–130.036%19 Aug →
anubis8–130.025%19 Aug →
inferno13–70.0814%18 Aug →
inferno13–90.0210%17 Aug →
inferno13–100.049%16 Aug →
inferno16–130.019%16 Aug →
mirage10–130.0410%15 Aug →
nuke10–130.0710%15 Aug →
ancient10–130.065%15 Aug →
nuke10–13-0.092%15 Aug →
nuke10–13-0.027%14 Aug →
inferno13–11-0.0115%14 Aug →
mirage9–130.017%14 Aug →
dust214–16-0.049%14 Aug →
dust213–40.0617%12 Aug →
inferno10–130.026%11 Aug →
ancient7–13-0.0120%9 Aug →
cache3–13-0.0211%9 Aug →
anubis13–5-0.0111%8 Aug →
inferno8–130.1012%8 Aug →
cache5–13-0.054%8 Aug →
ancient13–80.0610%8 Aug →
debris6–9-0.012%8 Aug →
vertigo9–00.108%8 Aug →

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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