terror do 30k

terror do 30k — CS2 Stats

76561198845772233[U:1:885506505]Steam profile ↗✓ No bans

1,045Tracked matches36%Win rate2020Tracked since
2,846Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating25,087Top 25% of 204,097 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#19923 of 251178 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 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: 25,087 +208 17 Jul – 9 Oct · 23 days played
24,58828,057peak 28,05717 Jul9 Oct
28,057Peak Premier in tracked matches
44Days played since 2026-07-13

Premier CS Rating

  • 2,970 below peak (28,057)
  • -1,319 over 30 days · declining
  • +208 over 90 days
  • Next: Gold band at 30,000 — 4,913 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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 9 among CSDB-tracked players (n=14,332), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.2%48.2%50.9%3.7% short
Shot accuracy9.0%13.3%13.7%4.8% short
Kill/death ratio0.901.071.090.18 short
Match win rate44.0%46.9%48.4%4.4% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGterror do 30kFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,087 · Red bandcsdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

COLD38–58–4Last 10038%Win rateWLLWLLTLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −8.4pp headshot accuracy · +59ms 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 19%
  • Avg reaction 594ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 555ms

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 (+1.4 against its own average).

Aim7.7
Utility4.5
Positioning6.1
Opening Duels4.9
Clutch3.2

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

jL

Plays most like jL 97% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; 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

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

Aim7.7
Positioning6.1
Utility4.5
Mechanics5.2
Opening Duels6.2
Win Impact0.2

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time537ms−13ms
first ⅓ avg 551ms → last ⅓ avg 537ms
Headshot accuracy22.6%+1.9%
first ⅓ avg 20.7% → last ⅓ avg 22.6%

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

0.19Best match rating · 13–3 · inferno, 6 Sept →
75%Best headshot accuracy · 0–5 · cache, 2 Oct →
336msFastest reaction time · 1–13 · mirage, 5 Sept →
13–1Biggest win · cache, 5 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 55% over 22mirageWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%0.00
infernoA2212–1055%0.02
mirageD215–1624%0.01
cacheC104–640%0.01
ancientD103–730%0.02
nuke—32–167%-0.01
anubis—20–20%-0.04
train—10–10%0.10
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (24% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,229Lifetime kills
0.90K/D
6,254Matches
44.0%Match win rate
47.2%Headshot %
9.0%Shot accuracy
17,361MVPs
2,846Hours (in match)
6,454Bombs planted
2,379Bombs defused

Most-used weapons

AK-4733,347
AWP18,211
SSG 083,518
Knife3,341
MP92,886
MAC-102,718

Lifetime map wins

10,667dust2
9,038inferno
2,421train
1,195nuke
1,132vertigo
251cbble
54office
26italy

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

Faceit stats

Combat

144Matches
62%Win rate
1.02Avg K/D
77.2ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust24648%0.9013.5
Mirage4168%1.1715.6
Inferno2383%1.0315.7
Ancient1856%0.9215.2
Cache1369%1.0316.1
Nuke2100%1.2221.5
Anubis10%0.7911.0

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.

21.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.4%Spray accuracy
73.4%Counter-strafing
10.2°Preaim
531msReaction time
51.8%T opening success
57.7%CT opening success
0.43Enemies flashed / flash
5.9%Flash assists
9.30HE damage / grenade
7.50Flashes / 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 0.4262 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–80.0125%10 Oct →
dust23–70.0219%9 Oct →
nuke9–13-0.0113%8 Oct →
dust213–90.0723%8 Oct →
dust29–130.0114%4 Oct →
dust24–13-0.1138%3 Oct →
mirage15–150.0320%3 Oct →
dust210–130.0719%3 Oct →
inferno9–13-0.0218%2 Oct →
mirage13–6-0.0410%2 Oct →
cache8–130.0217%2 Oct →
cache0–5-0.0375%2 Oct →
inferno13–110.0421%1 Oct →
dust213–80.0226%1 Oct →
nuke11–30.0722%1 Oct →
nuke13–6-0.0824%1 Oct →
cache9–13-0.0021%1 Oct →
inferno8–13-0.0422%28 Sept →
inferno7–130.0636%28 Sept →
dust212–120.0318%27 Sept →
ancient11–130.0420%26 Sept →
mirage4–130.0922%26 Sept →
cache6–13-0.0315%25 Sept →
inferno13–100.0116%24 Sept →
dust213–70.0120%15 Sept →
dust26–13-0.0636%13 Sept →
mirage13–70.0221%13 Sept →
dust29–130.0116%12 Sept →
mirage5–13-0.0335%12 Sept →
mirage13–160.0325%11 Sept →
dust213–100.0413%11 Sept →
mirage8–130.0411%10 Sept →
ancient3–130.0515%6 Sept →
inferno13–30.1930%6 Sept →
cache13–10.0619%5 Sept →
mirage1–13-0.0617%5 Sept →
dust23–13-0.0624%5 Sept →
inferno16–13-0.0110%3 Sept →
cache9–130.0238%1 Sept →
mirage9–13-0.0225%1 Sept →
mirage8–13-0.0621%30 Aug →
cache13–80.0118%30 Aug →
ancient3–130.0245%30 Aug →
inferno5–13-0.0721%29 Aug →
inferno9–130.0413%29 Aug →
dust213–60.0117%29 Aug →
dust213–100.0228%28 Aug →
mirage8–130.0417%27 Aug →
inferno13–70.1327%18 Aug →
dust29–13-0.0317%18 Aug →
cache13–110.0124%16 Aug →
mirage12–120.0023%15 Aug →
inferno0–9-0.1929%12 Aug →
ancient13–100.0930%12 Aug →
mirage13–110.0646%12 Aug →
ancient11–130.0415%12 Aug →
mirage11–130.0721%11 Aug →
dust22–13-0.0728%5 Aug →
mirage9–13-0.0121%4 Aug →
inferno13–8-0.0235%4 Aug →
ancient9–13-0.0219%4 Aug →
mirage13–100.0413%4 Aug →
anubis8–13-0.0220%4 Aug →
ancient13–70.0516%4 Aug →
dust213–50.0026%4 Aug →
ancient1–13-0.1219%3 Aug →
inferno6–130.0121%3 Aug →
dust213–16-0.058%27 Jul →
anubis5–13-0.0526%27 Jul →
mirage13–10.0518%27 Jul →
dust213–10.1318%27 Jul →
cache13–2-0.0219%27 Jul →
train10–130.1015%27 Jul →
dust28–130.0169%27 Jul →
inferno13–100.0214%26 Jul →
vertigo4–9-0.0632%26 Jul →
inferno9–130.0424%26 Jul →
dust213–50.0526%26 Jul →
inferno13–20.0639%24 Jul →
dust29–13-0.0118%24 Jul →
mirage4–130.1217%22 Jul →
inferno13–20.0516%22 Jul →
dust212–120.0220%21 Jul →
dust28–13-0.0314%19 Jul →
inferno13–6-0.0417%18 Jul →
mirage0–13-0.070%18 Jul →
dust24–13-0.0839%18 Jul →
mirage10–130.0013%17 Jul →
ancient13–70.0721%17 Jul →
inferno16–130.0319%17 Jul →
cache7–130.0326%17 Jul →
dust213–50.0717%17 Jul →
inferno9–130.0824%15 Jul →
dust213–110.0630%15 Jul →
mirage13–160.0110%14 Jul →
dust29–13-0.0112%14 Jul →
inferno9–130.0522%14 Jul →
dust28–13-0.0214%13 Jul →
ancient11–13-0.0014%13 Jul →
dust213–11-0.0012%13 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 →

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