brutal

brutal — CS2 Stats

US76561198386337945[U:1:426072217]Steam profile ↗✓ No bans

2,590Tracked matches46%Win rate2022Tracked since
3,165Hours in CS4Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating17,508Purple band · top ~18.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (2 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: 17,508 -1,821 6 Sept – 5 Nov · 30 days played
17,45821,286peak 21,2866 Sept5 Nov
21,501Peak Premier in tracked matches
30Days played since 2026-09-06

Premier CS Rating

  • 3,778 below peak (21,286)
  • -2,483 over 30 days · declining
  • Next: Pink band at 20,000 — 2,492 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.0%41.3%41.8%2.8% short
Shot accuracy4.9%12.7%12.2%7.3% short
Kill/death ratio1.030.950.98above
Match win rate50.0%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbrutalFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,508 · 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

Aim52
Positioning58
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateTLLWWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +43ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 691ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 640ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • 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 (+1.1 against its own average).

Aim5.2
Utility5.2
Positioning5.8
Opening Duels3.2

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 74% 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

Reaction time. 595ms 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

Aim5.2
Positioning5.8
Utility5.2
Mechanics7.7
Opening Duels5.0
Win Impact3.8

Composite 5.5/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time612ms−27ms
first ⅓ avg 639ms → last ⅓ avg 612ms
Headshot accuracy8.6%−3.5%
first ⅓ avg 12.1% → last ⅓ avg 8.6%

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

0.11Best match rating · 13–2 · inferno, 21 Sept →
26%Best headshot accuracy · 10–13 · nuke, 4 Oct →
438msFastest reaction time · 4–13 · inferno, 3 Oct →
13–1Biggest win · anubis, 26 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 78% over 9ancientWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
ancientC207–1335%-0.01
anubisB209–1145%-0.02
mirageC188–1044%0.00
infernoB136–746%-0.00
cacheB115–645%-0.00
dust2S97–278%0.00
nukeC83–538%-0.02
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,699Lifetime kills
1.03K/D · Top 50% of Level 2 players
2,564Matches
50.0%Match win rate · Top 10% of Level 2 players
39.0%Headshot %
4.9%Shot accuracy
6,482MVPs
1,058Hours (in match)
2,513Bombs planted
689Bombs defused

Most-used weapons

Lifetime map wins

4,345inferno
3,479nuke
3,476dust2
1,429train
198vertigo
167cbble
69office
45italy

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

Faceit stats

Combat

31Matches
45%Win rate
0.86Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

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.

8.9%Headshot accuracy
33.1%Accuracy (enemy spotted)
32.2%Spray accuracy
84.8%Counter-strafing
10.7°Preaim
595msReaction time
47.6%T opening success
52.5%CT opening success
0.49Enemies flashed / flash
6.2%Flash assists
7.19HE damage / grenade
12.88Flashes / 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 8.9414% — 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 0.4921 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0314%5 Nov →
anubis11–13-0.110%2 Nov →
mirage11–13-0.037%2 Nov →
anubis13–9-0.0110%2 Nov →
cache13–80.0310%2 Nov →
anubis8–13-0.099%31 Oct →
anubis13–5-0.0513%31 Oct →
anubis11–130.005%18 Oct →
inferno14–16-0.072%18 Oct →
nuke13–110.077%18 Oct →
mirage8–13-0.024%17 Oct →
inferno13–40.077%17 Oct →
ancient8–13-0.043%16 Oct →
anubis13–11-0.0315%16 Oct →
ancient8–13-0.036%16 Oct →
cache11–130.026%16 Oct →
dust213–8-0.0412%16 Oct →
ancient13–110.008%15 Oct →
ancient13–70.007%14 Oct →
cache7–13-0.048%14 Oct →
nuke15–15-0.0213%14 Oct →
inferno4–13-0.068%13 Oct →
inferno9–13-0.0117%13 Oct →
anubis9–13-0.039%13 Oct →
ancient6–13-0.067%13 Oct →
mirage13–40.0411%13 Oct →
mirage13–11-0.0216%12 Oct →
inferno13–90.089%12 Oct →
mirage13–90.0210%12 Oct →
nuke9–13-0.066%12 Oct →
cache4–13-0.0114%11 Oct →
inferno13–5-0.017%11 Oct →
ancient10–13-0.036%11 Oct →
ancient10–13-0.039%11 Oct →
anubis14–16-0.0111%11 Oct →
mirage11–130.0119%8 Oct →
ancient11–13-0.0315%8 Oct →
anubis13–2-0.030%7 Oct →
ancient16–130.046%7 Oct →
ancient13–110.0418%7 Oct →
anubis13–5-0.049%6 Oct →
nuke13–40.003%6 Oct →
dust213–70.0912%5 Oct →
anubis9–13-0.049%5 Oct →
mirage8–13-0.0512%5 Oct →
anubis13–11-0.0110%5 Oct →
mirage9–130.0112%4 Oct →
cache5–13-0.077%4 Oct →
ancient2–13-0.0610%4 Oct →
anubis7–13-0.039%4 Oct →
nuke10–13-0.0426%4 Oct →
cache13–110.1014%4 Oct →
inferno4–130.0411%3 Oct →
mirage15–150.0415%3 Oct →
vertigo10–13-0.023%2 Oct →
ancient5–13-0.0516%1 Oct →
cache10–13-0.019%30 Sept →
mirage13–110.0512%30 Sept →
ancient13–10-0.027%29 Sept →
anubis13–10-0.0318%29 Sept →
inferno4–13-0.0411%28 Sept →
inferno7–7-0.0218%28 Sept →
ancient13–10-0.023%28 Sept →
anubis13–100.009%28 Sept →
nuke4–13-0.0510%27 Sept →
nuke13–9-0.0421%27 Sept →
mirage6–130.0313%27 Sept →
mirage13–50.016%27 Sept →
cache13–9-0.052%27 Sept →
cache13–5-0.042%27 Sept →
anubis8–130.004%27 Sept →
mirage13–4-0.019%26 Sept →
dust28–13-0.0520%26 Sept →
ancient5–130.037%26 Sept →
anubis13–10.067%26 Sept →
anubis11–13-0.0312%26 Sept →
dust213–9-0.0118%26 Sept →
inferno10–13-0.0210%25 Sept →
anubis15–150.0312%25 Sept →
mirage13–60.0512%25 Sept →
dust216–140.0412%24 Sept →
anubis15–15-0.0115%24 Sept →
ancient13–60.0311%24 Sept →
mirage15–15-0.035%23 Sept →
dust213–70.0111%23 Sept →
dust213–8-0.018%23 Sept →
dust213–9-0.007%23 Sept →
mirage13–80.0024%22 Sept →
inferno13–6-0.0519%22 Sept →
nuke15–15-0.0015%22 Sept →
ancient11–13-0.0115%22 Sept →
mirage8–13-0.0211%22 Sept →
cache13–10.0122%21 Sept →
ancient9–13-0.028%21 Sept →
inferno13–20.1117%21 Sept →
ancient9–13-0.0218%20 Sept →
inferno7–13-0.0515%20 Sept →
dust28–13-0.0116%20 Sept →
mirage10–13-0.0213%20 Sept →
cache15–150.0214%20 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.