BOT Satra

BOT Satra — CS2 Stats

76561199556514084[U:1:1596248356]Steam profile ↗✓ No bans

1,747Tracked matches41%Win rate2023Tracked since
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating19,999Top 50% of 212,910 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85384 of 259663 tracked
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+620Premier CS Rating · 19,379 → 19,999

Rating over time

Premier CS Rating: 19,999 +2,889 12 Jun – 3 Nov · 36 days played
15,22519,999peak 19,99912 Jun3 Nov
Faceit ELO: 701 +0 30 Aug – 15 Sept · 2 observations
701701peak 70130 Aug15 Sept
19,999Peak Premier in tracked matches
701Highest Faceit ELO seen on CSDB
44Days played since 2026-06-12

Faceit ELO

  • At peak — 701
  • Next: Level 3 at 751 — 50 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-30

Premier CS Rating

  • At peak — 19,999
  • +1,551 over 30 days · improving
  • +1,840 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.GGBOT SatraPREMIER19,999 · Purple bandPEAK ELO701csdb.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

Aim36
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

HOT45–53–2Last 10045%Win rateWWWLWLLWWW

Last 10 vs previous 10: +50pp win rate · −0.01 avg rating · −4.1pp headshot accuracy · −134ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 503ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 520ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.2 against its own average).

Aim3.6
Utility4.5
Positioning4.1
Opening Duels0.8
Clutch7.4

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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

NiKo

Plays most like NiKo 72% 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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim3.6
Positioning4.1
Utility4.5
Mechanics4.5
Opening Duels1.5
Win Impact2.1

Composite 3.6/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time606ms−45ms
first ⅓ avg 650ms → last ⅓ avg 606ms
Headshot accuracy13.9%+1.4%
first ⅓ avg 12.5% → last ⅓ avg 13.9%

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

0.22Best match rating · 9–0 · nuke, 3 Aug →
41%Best headshot accuracy · 5–13 · dust2, 21 Oct →
367msFastest reaction time · 9–0 · nuke, 3 Aug →
13–1Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 58% over 24nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3313–2039%-0.03
infernoA2414–1058%-0.01
mirageB1910–953%-0.04
nukeD71–614%0.01
cacheB63–350%-0.05
ancientD62–433%-0.04
anubis—32–167%-0.01
overpass—20–20%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
50%Win rate
0.82Avg K/D
66.6ADR
34%Headshot %

Clutches & streaks

57%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.7413.0
Mirage367%0.489.3
Anubis2100%1.2919.0
Ancient10%0.6511.0
Inferno10%0.9417.0
Overpass10%1.3117.0

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.

13.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
28.3%Spray accuracy
70.3%Counter-strafing
11.9°Preaim
602msReaction time
26.1%T opening success
41.7%CT opening success
0.64Enemies flashed / flash
2.4%Flash assists
10.41HE damage / grenade
3.20Flashes / 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 13.8786% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2013 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 26.087% — below the 40% mark we flag

Spend your practice time on Nuke

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0116%3 Nov →
inferno13–11-0.0813%3 Nov →
cache13–10-0.078%3 Nov →
mirage9–13-0.072%3 Nov →
mirage13–70.0130%31 Oct →
nuke11–13-0.0217%31 Oct →
ancient6–13-0.019%27 Oct →
inferno13–4-0.0512%27 Oct →
dust213–9-0.0815%23 Oct →
inferno16–12-0.0316%22 Oct →
inferno5–130.0220%22 Oct →
dust24–13-0.0315%21 Oct →
dust25–13-0.0441%21 Oct →
mirage13–50.0018%21 Oct →
dust29–13-0.062%17 Oct →
cache3–13-0.0314%17 Oct →
dust24–13-0.0414%17 Oct →
inferno13–11-0.0214%17 Oct →
anubis8–13-0.0517%17 Oct →
nuke5–13-0.0224%16 Oct →
ancient3–13-0.0419%16 Oct →
dust213–11-0.074%15 Oct →
mirage4–13-0.065%14 Oct →
inferno13–6-0.0111%14 Oct →
ancient3–13-0.068%14 Oct →
dust28–130.0318%14 Oct →
mirage13–10-0.074%13 Oct →
inferno7–13-0.0120%13 Oct →
inferno10–13-0.103%12 Oct →
mirage15–15-0.0517%7 Oct →
anubis13–100.0010%7 Oct →
dust213–8-0.0212%7 Oct →
mirage13–8-0.0413%6 Oct →
anubis13–30.0013%6 Oct →
dust213–10.0517%6 Oct →
inferno13–8-0.0313%6 Oct →
dust210–13-0.0414%1 Oct →
ancient13–2-0.080%30 Sept →
inferno11–13-0.0216%30 Sept →
dust213–8-0.0211%30 Sept →
mirage13–2-0.0115%30 Sept →
inferno13–7-0.004%29 Sept →
inferno10–130.0719%12 Sept →
mirage4–13-0.0712%9 Aug →
dust25–13-0.0713%9 Aug →
nuke3–13-0.076%6 Aug →
inferno13–110.0212%4 Aug →
dust213–16-0.0816%4 Aug →
dust21–13-0.0114%4 Aug →
dust22–13-0.085%3 Aug →
nuke9–00.2214%3 Aug →
inferno6–130.034%2 Aug →
mirage11–13-0.049%2 Aug →
dust213–8-0.0320%31 Jul →
dust24–13-0.078%31 Jul →
dust213–5-0.0212%31 Jul →
dust28–13-0.0013%31 Jul →
dust24–13-0.0611%31 Jul →
dust22–13-0.058%30 Jul →
dust213–11-0.0418%22 Jul →
mirage14–16-0.0613%21 Jul →
dust213–60.0820%21 Jul →
dust211–13-0.0416%21 Jul →
ancient9–13-0.0310%21 Jul →
inferno13–7-0.065%20 Jul →
cache5–13-0.0423%20 Jul →
mirage13–60.0322%20 Jul →
nuke13–160.016%20 Jul →
mirage13–10-0.0318%19 Jul →
inferno10–13-0.0210%18 Jul →
mirage2–13-0.0820%18 Jul →
cache6–13-0.098%18 Jul →
inferno7–13-0.039%17 Jul →
dust213–70.0022%17 Jul →
cache13–8-0.038%16 Jul →
dust25–13-0.0611%16 Jul →
inferno13–10-0.0219%16 Jul →
cache13–5-0.0410%16 Jul →
dust212–16-0.0711%15 Jul →
mirage13–8-0.029%14 Jul →
mirage13–11-0.0719%12 Jul →
dust213–11-0.029%12 Jul →
inferno16–140.0410%12 Jul →
dust213–9-0.0215%26 Jun →
dust211–13-0.0017%26 Jun →
dust213–6-0.037%26 Jun →
overpass8–13-0.079%26 Jun →
inferno7–13-0.0213%26 Jun →
nuke6–13-0.0215%24 Jun →
mirage13–10-0.0111%24 Jun →
inferno13–11-0.0515%23 Jun →
overpass15–150.0410%23 Jun →
inferno11–13-0.027%18 Jun →
nuke6–13-0.064%17 Jun →
ancient13–7-0.0219%17 Jun →
dust213–16-0.0422%15 Jun →
mirage5–13-0.0616%14 Jun →
inferno13–60.0416%14 Jun →
mirage3–13-0.085%13 Jun →
dust212–16-0.0315%12 Jun →

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 →

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