KBadAim

KBadAim — CS2 Stats

BR76561198869463787[U:1:909198059]Steam profile ↗✓ No bans

394Tracked matches28%Win rate2022Tracked since
1,322Hours in CS
CSDB Rating4.3 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 394 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,000 -4,886 19 Sept – 5 Jul · 25 days played
15,00023,385peak 23,38519 Sept5 Jul
23,385Peak Premier in tracked matches
60Days played since 2025-09-19

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 9 Nov 2026 and 15 Nov 2026.

Measured 9 Nov 2026 → 15 Nov 2026; no observation near 14 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

Aim49
Positioning44
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43–49–8Last 10043%Win rateWLLWLLWWLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · −15ms 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 -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 627ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 632ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 640ms

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).

Aim4.9
Utility5.4
Positioning4.4
Opening Duels3.2
Clutch4.6

Strong CT-side opener

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 79% 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 55% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim4.9
Positioning4.4
Utility5.4
Mechanics5.5
Opening Duels3.4
Win Impact0.0

Composite 4.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time646ms+9ms
first ⅓ avg 637ms → last ⅓ avg 646ms
Headshot accuracy20.0%−0.9%
first ⅓ avg 20.9% → last ⅓ avg 20.0%

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

0.17Best match rating · 6–0 · mirage, 23 Jan →
54%Best headshot accuracy · 9–13 · nuke, 2 Sept →
391msFastest reaction time · 13–2 · inferno, 20 Sept →
13–1Biggest win · mirage, 2 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 57% over 7cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3115–1648%-0.01
dust2C2812–1643%0.00
infernoB168–850%0.00
cacheD92–722%-0.01
ancientA74–357%-0.02
nuke—40–40%-0.02
anubis—21–150%-0.08
overpass—20–20%-0.08
train—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

61,974Lifetime kills
0.76K/D
3,102Matches
36.4%Match win rate
52.4%Headshot % · Top 25% of tracked players
6.2%Shot accuracy
4,445MVPs
1,322Hours (in match)
2,480Bombs planted
477Bombs defused

Most-used weapons

Lifetime map wins

3,998dust2
2,850inferno
1,832vertigo
1,361nuke
781train
73cbble
49militia
35office

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

Faceit stats

Combat

78Matches
50%Win rate
0.90Avg K/D
71.0ADR
49%Headshot %

Clutches & streaks

43%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3142%0.8213.1
Dust21753%0.9714.8
Nuke650%0.788.5
Ancient450%0.9012.8
Overpass450%0.7711.0
Train475%1.1316.0
Inferno450%1.1915.3
Anubis333%0.7511.7

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.

19.7%Headshot accuracy
28.0%Accuracy (enemy spotted)
31.4%Spray accuracy
74.7%Counter-strafing
9.5°Preaim
648msReaction time
31.9%T opening success
54.9%CT opening success
0.54Enemies flashed / flash
3.1%Flash assists
8.60HE damage / grenade
12.43Flashes / 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 31.9271% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.017%4 Oct →
mirage7–13-0.0414%27 Sept →
nuke11–13-0.0516%3 Sept →
inferno13–5-0.0133%3 Sept →
nuke9–130.0154%2 Sept →
dust28–13-0.0224%29 Aug →
ancient13–110.0112%26 Aug →
inferno13–11-0.0021%24 Aug →
inferno11–130.0217%21 Aug →
inferno10–13-0.0121%19 Aug →
cache10–13-0.0027%6 Aug →
mirage13–10-0.055%1 Aug →
dust29–13-0.0327%23 Jul →
cache10–13-0.058%6 Jul →
dust29–130.0341%5 Jul →
nuke10–130.0414%5 Jul →
dust216–13-0.0317%4 Jul →
mirage9–13-0.0212%21 Jun →
dust29–130.0523%21 Jun →
cache13–8-0.0120%21 Jun →
dust26–13-0.0718%21 Jun →
dust26–13-0.0213%21 Jun →
cache12–120.0120%14 May →
dust27–13-0.0421%12 May →
cache13–2-0.0417%6 May →
cache8–13-0.0312%30 Apr →
cache9–130.0422%29 Apr →
cache6–130.0622%29 Apr →
cache1–13-0.1116%29 Apr →
mirage7–130.0217%26 Apr →
dust212–120.0431%11 Apr →
anubis5–13-0.0320%28 Mar →
mirage3–13-0.0819%21 Mar →
dust211–13-0.0518%21 Mar →
mirage11–13-0.0527%21 Mar →
ancient13–6-0.0216%21 Mar →
dust216–140.0324%8 Mar →
mirage10–130.0521%8 Mar →
overpass3–13-0.067%8 Mar →
dust213–90.0915%8 Mar →
mirage12–16-0.0213%1 Feb →
ancient7–13-0.0529%28 Jan →
dust213–8-0.0214%28 Jan →
anubis13–9-0.1410%28 Jan →
mirage11–13-0.0523%27 Jan →
ancient13–4-0.0031%27 Jan →
dust213–70.0319%27 Jan →
nuke1–5-0.0833%25 Jan →
mirage13–5-0.0218%25 Jan →
dust25–13-0.049%25 Jan →
mirage15–15-0.0117%25 Jan →
mirage9–13-0.0222%25 Jan →
dust212–12-0.067%24 Jan →
dust213–11-0.0317%24 Jan →
mirage6–00.1733%23 Jan →
inferno8–13-0.0228%22 Jan →
inferno13–9-0.0116%19 Jan →
train13–9-0.0123%18 Jan →
inferno13–50.0410%18 Jan →
dust215–15-0.0417%18 Jan →
mirage13–8-0.0411%17 Jan →
mirage13–60.0214%12 Jan →
dust213–7-0.0226%11 Jan →
ancient13–9-0.0118%10 Jan →
mirage13–4-0.0122%4 Jan →
mirage2–13-0.0429%20 Dec →
dust23–130.0130%18 Dec →
inferno7–130.0631%17 Dec →
mirage13–10.049%2 Dec →
mirage13–11-0.0423%22 Nov →
inferno9–130.0020%8 Nov →
dust213–60.0425%8 Nov →
mirage7–13-0.0420%8 Nov →
mirage13–6-0.0222%2 Nov →
dust215–15-0.0125%2 Nov →
mirage8–1-0.0014%1 Nov →
ancient10–13-0.0117%23 Oct →
mirage13–9-0.0717%23 Oct →
mirage13–10-0.0316%11 Oct →
mirage13–60.0516%11 Oct →
mirage0–13-0.0516%10 Oct →
mirage9–13-0.0223%5 Oct →
dust213–9-0.0215%5 Oct →
inferno2–13-0.0028%4 Oct →
mirage9–130.0128%2 Oct →
inferno13–90.0224%1 Oct →
ancient6–13-0.0413%28 Sept →
overpass4–13-0.0914%28 Sept →
inferno2–130.0119%28 Sept →
inferno12–120.0117%27 Sept →
dust26–130.0332%27 Sept →
inferno11–7-0.0616%21 Sept →
dust213–50.0631%20 Sept →
dust213–90.0719%20 Sept →
dust212–12-0.0324%20 Sept →
dust213–90.0825%20 Sept →
inferno13–80.0032%20 Sept →
inferno13–20.0032%20 Sept →
mirage13–16-0.0212%19 Sept →
mirage13–50.0014%19 Sept →

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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