BOUSS

BOUSS — CS2 Stats

FR76561198954954873[U:1:994689145]Steam profile ↗✓ No bans

1,435Tracked matches37%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
FaceitLevel 8 · 1,525 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,525 → 1,525
+14Tracked matches · now 1,435
+3.3ppWin rate · 33.3% → 36.7%

Rating over time

1,525Highest Faceit ELO seen on CSDB
84Days played since 2025-05-31

Faceit ELO

  • At peak — 1,525
  • Next: Level 8 at 1,531 — 6 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-10-04
  • Level 6 first seen 2026-10-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGBOUSSFACEITLevel 8 · 1,525 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,525csdb.gg/stats

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Performance scores

Aim81
Positioning62
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY45–55Last 10045%Win rateWLLWLWWLLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +2.1pp headshot accuracy · −26ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

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).

Aim8.1
Utility6.9
Positioning6.2
Opening Duels4.9
Clutch3.8

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 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim8.1
Positioning6.2
Utility6.9
Mechanics7.9
Opening Duels4.3
Win Impact0.6

Composite 6.1/10 (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 time578ms−83ms
first ⅓ avg 661ms → last ⅓ avg 578ms
Headshot accuracy18.3%+0.1%
first ⅓ avg 18.3% → last ⅓ avg 18.3%

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

0.14Best match rating · 11–13 · dust2, 14 Jul →
42%Best headshot accuracy · 13–2 · inferno, 9 Feb →
453msFastest reaction time · 13–16 · inferno, 12 Jul →
13–2Biggest win · inferno, 9 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
15–8In matches decided by ≤2 rounds
17Overtime games

Map breakdown

overpassBest map · 67% over 6mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB4119–2246%-0.00
dust2C177–1041%0.00
nukeD124–833%-0.00
anubisA74–357%0.01
ancientA74–357%0.01
overpassS64–267%-0.00
mirageD61–517%-0.01
cache—21–150%-0.04
vertigo—11–0100%-0.01
train—10–10%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,436Matches
51%Win rate
1.08Avg K/D
79.0ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust228753%1.1316.2
Inferno26851%1.1215.4
Nuke15551%1.1716.8
Anubis8547%0.9815.1
Mirage8042%1.0916.1
Ancient5947%1.0015.2
Overpass4464%1.1014.3
Train2040%1.0014.6

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.

19.1%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.0%Spray accuracy
85.7%Counter-strafing
9.4°Preaim
576msReaction time
38.0%T opening success
56.1%CT opening success
0.66Enemies flashed / flash
10.0%Flash assists
12.25HE damage / grenade
20.83Flashes / 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 38.0441% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0426%4 Oct →
dust28–13-0.0213%12 Sept →
anubis4–13-0.0419%24 Aug →
anubis13–100.0520%21 Aug →
anubis11–130.0622%20 Aug →
inferno16–140.0422%18 Aug →
vertigo16–14-0.0118%16 Aug →
inferno10–13-0.0322%6 Aug →
inferno8–13-0.0315%31 Jul →
inferno11–130.0226%25 Jul →
dust211–130.1423%14 Jul →
inferno13–16-0.0516%12 Jul →
nuke8–130.0517%9 Jul →
ancient8–13-0.0216%6 Jul →
inferno9–130.0516%3 Jul →
inferno21–250.0022%1 Jul →
nuke13–50.0418%30 Jun →
nuke9–130.0725%26 Jun →
overpass13–40.0118%20 Jun →
anubis13–110.0310%19 Jun →
inferno4–13-0.0612%18 Jun →
inferno13–90.0524%17 Jun →
inferno13–160.0016%17 Jun →
anubis13–11-0.0018%16 Jun →
nuke8–13-0.0514%12 Jun →
inferno13–80.0218%9 Jun →
dust211–130.0320%8 Jun →
overpass2–13-0.0619%1 Jun →
dust230–34-0.0023%23 May →
dust219–16-0.0514%20 May →
inferno3–13-0.0618%20 May →
cache9–13-0.0612%15 May →
inferno8–13-0.0214%12 May →
inferno13–90.0013%12 May →
dust29–13-0.0314%7 May →
inferno10–130.018%7 May →
cache13–11-0.0117%23 Apr →
dust28–13-0.0525%16 Apr →
inferno13–50.0817%14 Apr →
overpass7–13-0.0518%12 Apr →
dust25–130.0523%8 Apr →
inferno4–130.0117%31 Mar →
inferno22–200.0125%31 Mar →
nuke13–50.0213%25 Mar →
inferno5–130.0116%20 Mar →
dust26–13-0.0114%20 Mar →
inferno13–6-0.0013%15 Mar →
dust213–110.0323%12 Mar →
mirage13–100.0524%13 Feb →
nuke11–130.0420%11 Feb →
inferno8–13-0.0613%10 Feb →
inferno9–130.0029%9 Feb →
ancient13–50.0821%9 Feb →
inferno13–20.0442%9 Feb →
nuke3–13-0.0223%8 Feb →
inferno13–11-0.0519%7 Feb →
anubis13–110.039%30 Jan →
inferno20–220.0314%27 Jan →
nuke11–13-0.0513%21 Jan →
inferno13–8-0.018%15 Jan →
ancient6–13-0.0715%3 Jan →
inferno13–70.0326%28 Dec →
dust213–8-0.0119%17 Dec →
inferno13–100.0218%9 Dec →
overpass16–13-0.063%8 Dec →
inferno5–130.0024%4 Dec →
mirage7–130.0223%4 Dec →
mirage0–13-0.0628%4 Dec →
inferno13–11-0.0116%3 Dec →
nuke13–70.0223%3 Dec →
ancient13–110.0427%2 Dec →
mirage5–13-0.076%2 Dec →
ancient13–9-0.048%1 Dec →
nuke7–13-0.0710%1 Dec →
inferno9–13-0.0216%28 Nov →
dust213–110.0021%25 Nov →
inferno9–13-0.0716%25 Nov →
dust216–13-0.0114%17 Nov →
inferno13–5-0.0517%17 Nov →
inferno13–6-0.0124%16 Nov →
ancient10–130.0218%12 Nov →
overpass13–60.0820%23 Oct →
inferno16–12-0.0214%2 Oct →
mirage11–130.0327%21 Sept →
ancient13–60.0516%18 Sept →
inferno16–140.0616%29 Jul →
nuke16–13-0.0120%21 Jul →
inferno10–130.0112%18 Jul →
overpass13–100.0615%16 Jul →
mirage5–130.0017%9 Jul →
train10–130.0419%26 Jun →
dust27–130.0328%24 Jun →
nuke2–13-0.0820%19 Jun →
inferno10–130.0329%15 Jun →
inferno13–16-0.0416%10 Jun →
anubis7–13-0.0327%5 Jun →
dust216–140.0110%3 Jun →
dust213–2-0.0021%1 Jun →
inferno19–17-0.0124%1 Jun →
dust24–13-0.0510%31 May →

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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