Bu1sa

Bu1sa — CS2 Stats

76561199135304805[U:1:1175039077]Steam profile ↗✓ No bans

3,713Tracked matches40%Win rate2022Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating20,585Pink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#5018 of 11961 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

21,451Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • 866 below peak (21,451)
  • Next: Red band at 25,000 4,415 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGBu1saFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER20,585 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility66

0–100 skill scores via Leetify.

Recent form

COLD52462Last 10052%Win rateLLLWWLLLLW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression5.0
Utility6.6
Positioning4.6
Opening Duels2.4
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 624ms 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

Aim6.1
Positioning4.6
Utility6.6
Mechanics7.4
Opening Duels2.4
Win Impact1.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time624ms−3ms
first ⅓ avg 627ms → last ⅓ avg 624ms
Headshot accuracy20.3%−1.0%
first ⅓ avg 21.3% → last ⅓ avg 20.3%

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.

Highlights

0.09Best rating — ancient 13–5
131Biggest win — inferno
5Longest win streak
L3Current streak
108In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 71% over 17cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%-0.03
infernoS1712571%0.00
ancientB168850%-0.00
mirageC146843%-0.03
cacheD113827%-0.01
nukeA117464%-0.01
anubisS96367%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

205Matches
49%Win rate
1.28Avg K/D
89.2ADR
40%Headshot %

Clutches & streaks

10%1v1 clutch win
40%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3100%1.3318.7
Mirage3100%1.2832.0
Inferno250%0.8214.0
Dust21100%1.4619.0
Anubis10%0.569.0
Nuke1100%1.8018.0

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.

19.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
32.9%Spray accuracy
83.2%Counter-strafing
11.7°Preaim
624msReaction time
32.8%T opening success
46.6%CT opening success
0.56Enemies flashed / flash
9.6%Flash assists
9.86HE damage / grenade
11.49Flashes / 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 32.7556% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno12–16-0.0518%28 Aug
ancient8–13-0.0517%27 Aug
dust22–130.0116%27 Aug
dust213–9-0.0325%27 Aug
ancient13–7-0.0111%26 Aug
cache9–13-0.0119%26 Aug
ancient6–13-0.085%26 Aug
mirage11–13-0.0331%24 Aug
dust210–13-0.0422%23 Aug
ancient13–7-0.0318%23 Aug
nuke4–13-0.0324%23 Aug
ancient13–80.0418%23 Aug
mirage13–11-0.0113%23 Aug
mirage10–13-0.0226%23 Aug
dust213–11-0.0217%23 Aug
inferno5–13-0.0516%23 Aug
nuke13–11-0.0628%22 Aug
cache10–13-0.0518%22 Aug
anubis13–50.0314%22 Aug
anubis13–10-0.0324%22 Aug
nuke7–13-0.0120%22 Aug
anubis8–13-0.0517%22 Aug
dust213–7-0.0315%22 Aug
dust23–13-0.0726%22 Aug
dust27–130.0223%22 Aug
inferno13–50.0818%21 Aug
inferno13–10.0730%21 Aug
dust29–13-0.0820%20 Aug
cache7–13-0.0221%20 Aug
cache7–13-0.0526%20 Aug
mirage16–14-0.0232%16 Aug
cache13–20.0114%16 Aug
ancient10–13-0.0128%16 Aug
mirage5–13-0.0726%16 Aug
ancient11–13-0.0711%16 Aug
inferno15–15-0.0022%16 Aug
dust213–11-0.0229%16 Aug
cache16–120.0523%16 Aug
inferno8–8-0.0521%16 Aug
inferno13–50.0129%16 Aug
inferno13–9-0.0326%16 Aug
cache11–13-0.0229%16 Aug
anubis13–100.0014%16 Aug
dust211–130.0222%13 Aug
nuke10–130.0725%13 Aug
ancient8–13-0.0214%13 Aug
dust213–9-0.0120%13 Aug
mirage13–60.0232%13 Aug
ancient3–13-0.0022%13 Aug
anubis5–13-0.0218%12 Aug
nuke13–11-0.0320%11 Aug
dust211–13-0.0113%11 Aug
inferno13–9-0.0315%11 Aug
inferno7–90.0640%11 Aug
anubis13–60.0317%10 Aug
inferno13–100.0124%9 Aug
dust25–13-0.0518%9 Aug
ancient9–130.0417%9 Aug
cache7–13-0.0124%9 Aug
ancient13–70.0224%9 Aug
mirage13–90.0424%9 Aug
inferno7–30.0426%8 Aug
dust26–13-0.1119%8 Aug
ancient4–13-0.0022%8 Aug
mirage3–13-0.0922%8 Aug
ancient13–80.0218%8 Aug
nuke13–10-0.0016%8 Aug
anubis13–10-0.0117%8 Aug
mirage11–13-0.0316%8 Aug
nuke13–9-0.0223%8 Aug
cache13–80.0616%8 Aug
ancient13–50.0917%8 Aug
dust213–10-0.0411%8 Aug
dust213–4-0.0137%8 Aug
mirage5–13-0.0127%8 Aug
inferno13–90.0115%7 Aug
cache9–13-0.1125%7 Aug
inferno10–10.0017%7 Aug
nuke13–11-0.0115%6 Aug
ancient13–6-0.0035%6 Aug
anubis7–13-0.0416%6 Aug
mirage13–5-0.0023%6 Aug
ancient13–6-0.0124%6 Aug
mirage13–16-0.059%3 Aug
mirage13–6-0.0231%3 Aug
cache12–160.0421%2 Aug
dust213–11-0.0520%2 Aug
inferno13–11-0.0225%2 Aug
dust213–9-0.0525%2 Aug
inferno13–10-0.0127%2 Aug
dust29–13-0.0116%2 Aug
dust211–13-0.0711%28 Jul
mirage8–13-0.0617%27 Jul
nuke13–90.0328%27 Jul
dust213–8-0.0427%27 Jul
nuke13–110.0624%26 Jul
nuke6–13-0.0817%26 Jul
anubis13–8-0.0422%26 Jul
inferno13–90.0118%26 Jul
dust27–13-0.0632%26 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 →