shabang

shabang — CS2 Stats

76561199007919750[U:1:1047654022]Steam profile ↗✓ No bans

426Tracked matches38%Win rate2022Tracked since
341Hours in CS2Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,620 +432 22 Apr – 6 Jul · 28 days played
12,04413,995peak 13,99522 Apr6 Jul
14,214Peak Premier in tracked matches
38Days played since 2026-04-22

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches13——
Win rate46%——
K/D0.97——
Headshot %60%——

Measured 6 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim64
Positioning39
Utility46

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLLLLLWWTLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · +33ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 683ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 625ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 609ms

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 against its own average).

Aim6.4
Utility4.6
Positioning3.9
Opening Duels2.4

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

device

Plays most like device 93% 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 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms 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

Aim6.4
Positioning3.9
Utility4.6
Mechanics7.4
Opening Duels1.6
Win Impact1.0

Composite 4.8/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time617ms−18ms
first ⅓ avg 636ms → last ⅓ avg 617ms
Headshot accuracy21.7%−3.4%
first ⅓ avg 25.1% → last ⅓ avg 21.7%

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

0.15Best match rating · 13–8 · mirage, 3 Jun →
56%Best headshot accuracy · 13–5 · ancient, 29 May →
430msFastest reaction time · 10–13 · ancient, 5 May →
13–3Biggest win · ancient, 3 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
13–7In matches decided by ≤2 rounds
21Overtime games

Map breakdown

nukeBest map · 75% over 8dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%-0.01
mirageC166–1038%-0.02
ancientB168–850%-0.01
dust2D112–918%-0.03
overpassD113–827%-0.02
nukeS86–275%-0.01
cacheC73–443%0.00
anubisC73–443%-0.01
boulder—10–10%-0.09
fachwerk—10–10%-0.04
shelter—11–0100%-0.07
sanctum—11–0100%0.02
poseidon—10–10%-0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,441Lifetime kills
0.95K/D
609Matches
41.7%Match win rate
56.5%Headshot % · Top 10% of tracked players
5.5%Shot accuracy
1,192MVPs
196Hours (in match)
446Bombs planted
150Bombs defused

Most-used weapons

Lifetime map wins

948inferno
801nuke
481dust2
223vertigo
127train
53office
13cbble
8lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.2%Headshot accuracy
29.5%Accuracy (enemy spotted)
32.2%Spray accuracy
83.4%Counter-strafing
10.1°Preaim
606msReaction time
27.0%T opening success
42.7%CT opening success
0.46Enemies flashed / flash
6.2%Flash assists
9.63HE damage / grenade
12.05Flashes / 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. 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 0.4634 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 27.0203% — below the 40% mark we flag

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.

18% win rate across 11 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
nuke1–100.0043%29 Sept →
mirage10–13-0.0619%16 Sept →
dust21–6-0.0527%16 Sept →
cache8–130.0424%5 Aug →
ancient1–13-0.1011%18 Jul →
inferno16–140.0923%18 Jul →
nuke13–11-0.0428%14 Jul →
inferno12–12-0.0523%14 Jul →
inferno10–13-0.0224%14 Jul →
boulder5–13-0.095%10 Jul →
fachwerk11–13-0.0423%10 Jul →
shelter13–7-0.0730%10 Jul →
overpass9–13-0.0522%8 Jul →
dust26–130.0215%6 Jul →
anubis13–9-0.0235%6 Jul →
dust210–13-0.0414%3 Jul →
inferno16–130.0920%3 Jul →
ancient13–30.0734%3 Jul →
inferno5–13-0.1112%3 Jul →
ancient13–110.0618%3 Jul →
sanctum9–60.0211%2 Jul →
poseidon6–9-0.1117%2 Jul →
inferno4–9-0.0720%2 Jul →
mirage6–13-0.0913%26 Jun →
mirage16–14-0.0526%21 Jun →
inferno11–13-0.0218%21 Jun →
cache13–40.0320%21 Jun →
cache7–130.0132%20 Jun →
inferno7–13-0.0631%20 Jun →
ancient13–40.0110%20 Jun →
overpass13–80.0115%12 Jun →
ancient7–13-0.0522%12 Jun →
inferno12–16-0.0532%8 Jun →
nuke14–16-0.0331%6 Jun →
inferno13–90.0231%6 Jun →
mirage12–16-0.0810%3 Jun →
overpass15–15-0.0620%3 Jun →
mirage13–80.1536%3 Jun →
nuke13–11-0.0322%2 Jun →
inferno13–9-0.0329%2 Jun →
overpass16–14-0.0234%2 Jun →
inferno13–7-0.0633%1 Jun →
nuke13–90.0435%1 Jun →
overpass10–13-0.027%29 May →
inferno4–13-0.0225%29 May →
nuke16–14-0.0420%29 May →
ancient10–130.0125%29 May →
ancient13–5-0.0656%29 May →
mirage10–13-0.0826%27 May →
dust216–13-0.0127%27 May →
dust26–130.0230%27 May →
nuke16–14-0.0322%25 May →
mirage11–13-0.0228%25 May →
mirage1–13-0.0145%25 May →
dust23–13-0.0543%23 May →
mirage13–6-0.0117%23 May →
dust215–15-0.0430%23 May →
dust215–15-0.0730%22 May →
ancient12–160.0132%22 May →
mirage8–13-0.0138%22 May →
ancient8–13-0.0731%22 May →
overpass16–130.0228%22 May →
cache13–8-0.0352%22 May →
mirage13–50.0225%20 May →
dust211–13-0.0916%20 May →
anubis6–13-0.0119%19 May →
overpass6–13-0.0131%15 May →
mirage12–16-0.0320%15 May →
inferno13–11-0.0521%15 May →
cache5–13-0.0320%15 May →
cache9–13-0.0537%12 May →
mirage16–13-0.0133%12 May →
anubis6–13-0.0513%12 May →
overpass11–13-0.0431%12 May →
anubis13–70.0426%11 May →
ancient13–5-0.0821%11 May →
anubis6–13-0.0714%11 May →
ancient11–13-0.0818%11 May →
inferno13–40.0533%7 May →
inferno13–100.0326%7 May →
dust213–6-0.0219%6 May →
nuke13–30.0112%6 May →
overpass13–160.0430%6 May →
mirage7–13-0.0623%5 May →
ancient10–13-0.0239%5 May →
ancient13–110.0234%3 May →
mirage8–13-0.0622%3 May →
inferno10–130.0440%3 May →
anubis7–13-0.0319%1 May →
mirage13–80.0419%1 May →
inferno13–80.0330%1 May →
overpass15–150.0234%1 May →
cache13–110.0419%29 Apr →
dust29–130.0525%28 Apr →
inferno13–9-0.0330%28 Apr →
ancient15–140.0531%28 Apr →
anubis13–50.0521%28 Apr →
ancient13–160.0327%28 Apr →
overpass7–13-0.1117%25 Apr →
ancient13–110.0024%22 Apr →

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 →

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