Witness the shitness

Witness the shitness — CS2 Stats

AU76561198003203666[U:1:42937938]Steam profile ↗✓ No bans

9,429Tracked matches50%Win rate2020Tracked since
5,439Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating16,178Purple band · top ~23.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 16,178 -1,248 28 Aug – 10 Oct · 15 days played
15,81420,648peak 20,64828 Aug10 Oct
20,648Peak Premier in tracked matches
12Days played since 2026-08-28

Premier CS Rating

  • 4,470 below peak (20,648)
  • Next: Pink band at 20,000 — 3,822 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-21
  • Purple band first seen 2026-08-28

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 Level 5 among CSDB-tracked players (n=13,649), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate50.7%43.7%44.8%above
Shot accuracy11.5%12.0%12.4%1.0% short
Kill/death ratio1.251.021.03above
Match win rate53.7%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWitness the shitnessFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,178 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim60
Positioning67
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWWWLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.6pp headshot accuracy · +6ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 608ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 621ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 618ms

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 (+2 against its own average).

Aim6.0
Utility4.8
Positioning6.7
Opening Duels4.8
Clutch2.6

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

jL

Plays most like jL 82% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 59% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 642ms 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

Aim6.0
Positioning6.7
Utility4.8
Mechanics7.2
Opening Duels5.1
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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time644ms+36ms
first ⅓ avg 608ms → last ⅓ avg 644ms
Headshot accuracy19.2%−0.1%
first ⅓ avg 19.3% → last ⅓ avg 19.2%

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

0.16Best match rating · 10–13 · office, 7 Oct →
36%Best headshot accuracy · 13–7 · mirage, 8 Oct →
438msFastest reaction time · 13–6 · office, 6 Oct →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7Overtime games

Map breakdown

officeBest map · 78% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B3718–1949%0.00
mirageD226–1627%0.00
officeS97–278%0.05
anubisD72–529%-0.01
infernoB63–350%-0.02
ancientB63–350%-0.02
nukeC52–340%-0.01
cacheD51–420%-0.01
overpass—22–0100%-0.04
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

281,122Lifetime kills
1.25K/D · Top 25% of Level 5 players
13,681Matches
53.7%Match win rate · Top 5% of Level 5 players
50.7%Headshot % · Top 25% of Level 5 players
11.5%Shot accuracy
35,325MVPs
5,439Hours (in match)
16,382Bombs planted
3,239Bombs defused

Most-used weapons

AK-4775,010
SSG 0822,992
AWP15,128
Glock-1814,737
Galil AR12,762
MP99,344
FAMAS7,224

Lifetime map wins

71,321dust2
15,303inferno
9,693office
7,880nuke
2,701vertigo
1,613train
532cbble
176lake

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

Faceit stats

Combat

133Matches
50%Win rate
1.16Avg K/D
73.6ADR
46%Headshot %

Clutches & streaks

33%1v1 clutch win
40%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage475%1.0417.5
Ancient367%0.9714.0
Nuke250%1.0215.5
Dust2250%0.799.5
Anubis10%0.6712.0
Vertigo1100%0.9314.0
Inferno10%0.6710.0

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.

18.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.7%Spray accuracy
82.6%Counter-strafing
11.0°Preaim
642msReaction time
58.7%T opening success
42.0%CT opening success
0.48Enemies flashed / flash
6.4%Flash assists
10.27HE damage / grenade
6.43Flashes / 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. 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 0.4768 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0519%10 Oct →
nuke13–80.0316%10 Oct →
dust213–5-0.0221%10 Oct →
mirage5–130.0123%9 Oct →
anubis7–13-0.0617%9 Oct →
anubis8–13-0.0111%9 Oct →
cache2–13-0.0224%9 Oct →
anubis10–130.0412%9 Oct →
anubis16–13-0.029%9 Oct →
cache9–13-0.0519%9 Oct →
dust213–90.0118%9 Oct →
dust213–30.0119%9 Oct →
cache13–8-0.0020%9 Oct →
inferno7–13-0.0530%9 Oct →
anubis13–80.0028%9 Oct →
nuke9–13-0.0616%9 Oct →
dust213–10.0618%9 Oct →
dust24–13-0.0729%9 Oct →
dust25–130.0818%9 Oct →
ancient8–13-0.0020%9 Oct →
mirage8–13-0.0318%9 Oct →
dust27–20.0311%9 Oct →
dust216–120.0020%9 Oct →
mirage13–70.0313%9 Oct →
dust213–7-0.0325%9 Oct →
cache12–16-0.049%9 Oct →
nuke8–13-0.0118%9 Oct →
mirage13–80.0515%8 Oct →
ancient10–130.0419%8 Oct →
dust213–4-0.0014%8 Oct →
nuke13–90.0630%8 Oct →
dust26–13-0.0526%8 Oct →
dust213–8-0.0629%8 Oct →
inferno13–10-0.0218%8 Oct →
dust24–130.1019%8 Oct →
nuke6–13-0.0617%8 Oct →
mirage4–12-0.0424%8 Oct →
mirage9–13-0.0421%8 Oct →
mirage13–7-0.0136%8 Oct →
dust28–13-0.0311%7 Oct →
anubis9–130.0020%7 Oct →
mirage10–130.0420%7 Oct →
dust25–130.0422%7 Oct →
mirage6–13-0.0227%7 Oct →
mirage5–130.0614%7 Oct →
mirage2–13-0.0933%7 Oct →
mirage13–100.0310%7 Oct →
mirage7–13-0.0124%7 Oct →
office10–130.1622%7 Oct →
dust26–13-0.0124%7 Oct →
overpass13–4-0.0420%7 Oct →
mirage1–13-0.0626%6 Oct →
inferno13–90.0317%6 Oct →
dust29–130.0218%6 Oct →
inferno3–13-0.0718%6 Oct →
overpass13–8-0.0415%6 Oct →
mirage1–130.0225%6 Oct →
office13–30.0312%6 Oct →
mirage8–130.0524%6 Oct →
office13–6-0.0213%6 Oct →
mirage3–130.0025%6 Oct →
dust213–50.1017%5 Oct →
ancient14–16-0.0812%5 Oct →
ancient13–8-0.0620%5 Oct →
dust23–13-0.049%5 Oct →
mirage1–13-0.0112%5 Oct →
mirage13–20.159%5 Oct →
dust26–13-0.068%5 Oct →
dust29–130.0718%5 Oct →
office13–80.0422%4 Oct →
dust212–120.0113%4 Oct →
office13–100.0721%4 Oct →
dust213–40.0220%4 Oct →
dust213–3-0.0213%4 Oct →
dust23–13-0.0410%4 Oct →
anubis13–16-0.0529%3 Oct →
ancient13–80.0117%3 Oct →
dust25–13-0.0511%3 Oct →
dust213–110.0219%3 Oct →
dust28–130.0418%3 Oct →
inferno8–13-0.0623%2 Oct →
dust22–13-0.0622%30 Sept →
dust23–13-0.0320%30 Sept →
mirage9–130.0323%30 Sept →
ancient13–70.0111%30 Sept →
cache12–160.0627%30 Sept →
office13–10-0.0115%30 Sept →
office13–80.1130%30 Sept →
office9–130.0319%30 Sept →
vertigo12–12-0.0120%30 Sept →
mirage16–14-0.0227%28 Sept →
dust213–70.0128%28 Sept →
mirage7–13-0.0418%27 Sept →
dust26–13-0.0322%27 Sept →
dust213–80.0413%27 Sept →
dust213–8-0.0118%27 Sept →
dust213–40.0720%27 Sept →
dust22–13-0.1012%27 Sept →
dust213–7-0.0124%27 Sept →
office13–60.0025%27 Sept →

Match data via Leetify.

Milestones

1,000 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.