bbazsi09

bbazsi09 — CS2 Stats

76561198159506976[U:1:199241248]Steam profile ↗✓ No bans

484Tracked matches50%Win rate2023Tracked since
1,196Hours in CS4Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,435Purple band · top ~22.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (26 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: 16,435 +5,503 10 Aug – 10 Oct · 14 days played
10,93216,435peak 16,43510 Aug10 Oct
16,549Peak Premier in tracked matches
38Days played since 2026-07-26

Premier CS Rating

  • At peak — 16,435
  • +208 over 30 days · steady
  • Next: Pink band at 20,000 — 3,565 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate35.6%44.4%46.9%11.3% short
Shot accuracy11.3%11.9%13.0%1.7% short
Kill/death ratio0.971.031.080.11 short
Match win rate49.4%45.2%46.7%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbbazsi09PREMIER16,435 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning68
Utility27

0–100 skill scores via Leetify.

Recent form

COLD53–43–4Last 10053%Win rateLWLLWWLLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −22ms 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 13%
  • Avg reaction 498ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 504ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 515ms

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 (+1.7 against its own average).

Aim6.8
Utility2.7
Positioning6.8
Opening Duels4.8
Clutch6.2

Limited 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

s1mple

Plays most like s1mple 80% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim6.8
Positioning6.8
Utility2.7
Mechanics5.6
Opening Duels7.4
Win Impact5.0

Composite 5.9/10 (Solid), 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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time537ms−25ms
first ⅓ avg 562ms → last ⅓ avg 537ms
Headshot accuracy13.5%+1.7%
first ⅓ avg 11.8% → last ⅓ avg 13.5%

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

0.30Best match rating · 9–1 · inferno, 24 Aug →
27%Best headshot accuracy · 13–9 · dust2, 26 Aug →
406msFastest reaction time · 2–9 · inferno, 8 Sept →
13–0Biggest win · vertigo, 22 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–13In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 83% over 6dust2Weakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%0.05
mirageS2316–770%0.03
dust2C208–1240%0.03
anubisC146–843%0.06
ancientS65–183%0.01
cacheB63–350%0.08
nuke—41–325%0.03
vertigo—11–0100%0.07
train—11–0100%0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,107Lifetime kills
0.97K/D
1,637Matches
49.4%Match win rate · Top 25% of Purple band
35.6%Headshot %
11.3%Shot accuracy
4,734MVPs
645Hours (in match)
744Bombs planted
442Bombs defused

Most-used weapons

Lifetime map wins

1,856inferno
1,793dust2
569nuke
96vertigo
65office
57train
18assault
8safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

79Matches
49%Win rate
1.34Avg K/D
105.8ADR
39%Headshot %

Clutches & streaks

51%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2462%1.4820.1
Dust21850%1.1818.6
Anubis1527%1.3723.1
Inferno757%1.3720.6
Cache743%1.4523.4
Ancient667%1.1917.8
Nuke10%0.8214.0

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.

14.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.5%Spray accuracy
75.3%Counter-strafing
8.3°Preaim
545msReaction time
63.2%T opening success
55.7%CT opening success
0.43Enemies flashed / flash
4.8%Flash assists
10.84HE damage / grenade
1.70Flashes / 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 14.1675% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4294 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–9-0.113%19 Oct →
mirage13–60.0018%18 Oct →
dust211–130.0616%16 Oct →
inferno3–13-0.0211%10 Oct →
ancient13–110.0914%10 Oct →
mirage13–110.0113%2 Oct →
mirage6–13-0.0513%27 Sept →
dust210–13-0.0516%19 Sept →
inferno7–9-0.0012%19 Sept →
dust27–130.0211%17 Sept →
mirage12–120.0812%16 Sept →
mirage13–7-0.0114%16 Sept →
mirage10–130.0415%13 Sept →
inferno8–80.0815%13 Sept →
ancient12–120.0419%12 Sept →
mirage11–13-0.0414%12 Sept →
dust211–13-0.0217%12 Sept →
mirage7–130.0216%11 Sept →
ancient13–9-0.0213%11 Sept →
inferno2–9-0.1411%8 Sept →
ancient13–60.0418%8 Sept →
anubis13–60.089%7 Sept →
mirage7–1-0.043%7 Sept →
cache13–70.0213%6 Sept →
dust213–5-0.0224%5 Sept →
cache11–130.0614%1 Sept →
cache13–10.129%1 Sept →
mirage13–10-0.0113%31 Aug →
nuke6–13-0.0623%31 Aug →
mirage11–13-0.028%31 Aug →
inferno13–60.0311%29 Aug →
mirage0–13-0.0520%29 Aug →
dust22–13-0.059%28 Aug →
inferno5–90.089%28 Aug →
mirage13–70.1017%27 Aug →
dust213–110.0214%27 Aug →
anubis4–130.0415%27 Aug →
mirage13–1-0.039%27 Aug →
inferno13–10.1721%27 Aug →
inferno9–60.178%26 Aug →
dust213–90.0627%26 Aug →
inferno9–10.2018%26 Aug →
inferno8–130.0120%25 Aug →
anubis8–130.0918%25 Aug →
dust29–13-0.0313%25 Aug →
inferno1–9-0.147%25 Aug →
dust211–130.1116%25 Aug →
inferno9–10.3021%24 Aug →
mirage13–110.029%24 Aug →
nuke13–70.0923%24 Aug →
mirage13–70.096%24 Aug →
nuke11–130.050%22 Aug →
anubis13–40.2015%22 Aug →
vertigo13–00.0711%22 Aug →
inferno13–40.088%22 Aug →
dust26–130.1515%22 Aug →
cache9–130.1213%22 Aug →
mirage13–110.0714%22 Aug →
anubis11–13-0.0118%21 Aug →
dust23–13-0.0414%21 Aug →
dust213–00.0521%21 Aug →
dust25–130.058%21 Aug →
inferno9–70.1518%21 Aug →
anubis4–130.007%20 Aug →
inferno11–130.0215%20 Aug →
inferno9–70.156%20 Aug →
dust212–120.1012%20 Aug →
mirage13–60.089%20 Aug →
inferno9–60.0712%20 Aug →
inferno13–9-0.0414%17 Aug →
anubis11–130.0911%17 Aug →
inferno5–9-0.0116%17 Aug →
mirage13–70.0914%16 Aug →
cache13–30.1512%16 Aug →
dust213–8-0.0212%16 Aug →
mirage13–20.0811%14 Aug →
inferno1–13-0.076%14 Aug →
train13–40.1620%13 Aug →
anubis13–40.059%12 Aug →
cache8–13-0.0110%11 Aug →
anubis13–20.076%11 Aug →
nuke7–130.0412%11 Aug →
dust213–60.1316%11 Aug →
anubis11–130.049%10 Aug →
dust213–10-0.0112%10 Aug →
inferno2–9-0.0323%10 Aug →
inferno9–40.1322%10 Aug →
dust25–130.0212%8 Aug →
ancient13–9-0.0318%8 Aug →
inferno16–140.0610%2 Aug →
dust213–30.048%2 Aug →
mirage13–10.029%2 Aug →
ancient13–9-0.044%2 Aug →
anubis4–13-0.047%2 Aug →
mirage13–40.178%2 Aug →
mirage13–100.006%2 Aug →
anubis17–190.0812%1 Aug →
anubis16–130.0414%1 Aug →
inferno13–160.0211%1 Aug →
anubis13–50.0713%26 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 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.