Walter Brown

Walter Brown — CS2 Stats

US76561198152405046[U:1:192139318]Steam profile ↗✓ No bans

1,056Tracked matches52%Win rate2022Tracked since
1,772Hours in CS
CSDB Rating5.8 SolidAll-Rounder
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,056 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,573 +3,826 18 Oct – 28 Jun · 14 days played
20,54225,831peak 25,83118 Oct28 Jun
25,954Peak Premier in tracked matches
1,821Highest Faceit ELO seen on CSDB
60Days played since 2025-09-13

Faceit ELO

  • At peak — 1,821
  • Next: Level 10 at 2,001 — 180 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGWalter BrownPEAK ELO1,821csdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLLLWLWWWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −2.2pp headshot accuracy · −70ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 594ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.5
Utility5.4
Positioning5.4
Opening Duels3.0
Clutch5.2

Effective flashes

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 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 602ms 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

Aim7.5
Positioning5.4
Utility5.4
Mechanics7.4
Opening Duels2.8
Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time602ms−33ms
first ⅓ avg 635ms → last ⅓ avg 602ms
Headshot accuracy22.2%+2.5%
first ⅓ avg 19.6% → last ⅓ avg 22.2%

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

0.18Best match rating · 9–3 · inferno, 20 Mar →
44%Best headshot accuracy · 13–6 · dust2, 28 Jun →
430msFastest reaction time · 2–9 · inferno, 19 Mar →
13–1Biggest win · mirage, 15 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB3617–1947%0.00
dust2B2713–1448%0.02
infernoB136–746%-0.01
ancientS107–370%0.00
cacheA85–363%0.01
anubis—43–175%0.02
nuke—10–10%-0.08
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,071Lifetime kills
0.94K/D
2,579Matches
41.8%Match win rate
45.5%Headshot % · Top 50% of tracked players
12.0%Shot accuracy · Top 50% of tracked players
5,567MVPs
1,772Hours (in match)
1,793Bombs planted
589Bombs defused

Most-used weapons

AK-4715,985
AWP7,926
Knife1,317
MAC-101,212
MP91,177
P250888

Lifetime map wins

10,588dust2
1,883inferno
513nuke
395train
374vertigo
148cbble
122lake
30office

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

Faceit stats

Combat

371Matches
51%Win rate
1.10Avg K/D
78.9ADR
47%Headshot %

Clutches & streaks

46%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11756%1.1316.4
Dust27551%1.2816.9
Ancient4652%1.0917.4
Inferno4349%1.1617.5
Anubis2658%1.0014.5
Nuke1631%1.0715.3
Train1136%1.1717.6
Cache850%0.9813.0

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
36.1%Accuracy (enemy spotted)
35.0%Spray accuracy
83.2%Counter-strafing
9.9°Preaim
602msReaction time
39.7%T opening success
42.5%CT opening success
0.74Enemies flashed / flash
11.8%Flash assists
9.85HE damage / grenade
5.68Flashes / 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 39.6992% — below the 40% mark we flag

Spend your practice time on Inferno

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0118%12 Sept →
anubis2–13-0.0313%25 Aug →
dust210–130.0628%20 Aug →
dust29–13-0.0532%11 Aug →
mirage13–11-0.0211%8 Aug →
dust25–130.0216%8 Aug →
mirage13–110.0723%8 Aug →
cache13–70.0318%6 Aug →
mirage16–13-0.0321%4 Aug →
mirage13–80.0224%30 Jul →
inferno6–13-0.0117%29 Jul →
cache13–11-0.0219%29 Jul →
ancient13–100.0128%28 Jul →
dust212–16-0.0214%23 Jul →
mirage13–3-0.0221%23 Jul →
dust213–90.0133%23 Jul →
dust220–22-0.0115%23 Jul →
mirage10–13-0.0429%23 Jul →
mirage8–130.0924%21 Jul →
mirage9–13-0.0223%19 Jul →
cache13–80.0142%18 Jul →
anubis13–30.0419%18 Jul →
dust213–70.1131%18 Jul →
cache10–130.0633%12 Jul →
cache3–13-0.0313%11 Jul →
dust213–100.0421%11 Jul →
mirage10–13-0.0418%10 Jul →
dust212–120.0219%10 Jul →
inferno13–30.0111%10 Jul →
mirage13–30.1019%10 Jul →
mirage13–100.0417%30 Jun →
mirage11–13-0.0520%29 Jun →
dust213–60.0444%28 Jun →
inferno13–100.0133%27 Jun →
mirage4–13-0.0615%26 Jun →
mirage8–13-0.0613%24 Jun →
mirage13–90.0623%23 Jun →
cache9–13-0.0422%13 Jun →
inferno7–130.0214%19 May →
ancient13–7-0.0312%19 May →
cache13–50.0228%13 May →
dust24–13-0.0714%13 May →
cache13–50.0019%30 Apr →
mirage16–19-0.0315%28 Apr →
mirage11–13-0.0212%26 Apr →
dust213–110.0324%25 Apr →
dust214–160.0113%18 Apr →
mirage13–4-0.008%18 Apr →
mirage11–130.0822%17 Apr →
ancient10–13-0.0416%16 Apr →
mirage10–130.0318%16 Apr →
dust215–150.0515%15 Apr →
mirage13–10.0719%15 Apr →
inferno13–11-0.0529%14 Apr →
mirage14–16-0.0125%14 Apr →
inferno13–30.0017%13 Apr →
dust28–13-0.0322%13 Apr →
mirage13–110.027%12 Apr →
dust211–130.0318%12 Apr →
mirage7–13-0.0515%12 Apr →
mirage13–8-0.0114%10 Apr →
inferno9–130.0622%10 Apr →
dust29–13-0.0116%10 Apr →
dust213–7-0.043%7 Apr →
inferno8–13-0.0613%7 Apr →
mirage16–12-0.0313%3 Apr →
ancient9–130.0113%3 Apr →
nuke0–13-0.086%1 Apr →
anubis13–30.0718%1 Apr →
dust29–130.0221%1 Apr →
ancient16–130.0210%1 Apr →
dust213–30.0630%29 Mar →
mirage2–130.0321%29 Mar →
ancient16–140.0518%23 Mar →
inferno9–30.1816%20 Mar →
inferno1–9-0.215%19 Mar →
inferno2–9-0.1427%19 Mar →
anubis13–100.0223%6 Feb →
mirage13–70.0116%2 Feb →
mirage13–110.0433%2 Feb →
ancient7–13-0.0219%31 Jan →
inferno13–60.0429%31 Jan →
dust213–100.0523%31 Jan →
mirage7–13-0.0631%29 Jan →
mirage6–12-0.0514%28 Jan →
dust213–30.0829%23 Jan →
mirage13–7-0.0016%23 Jan →
mirage13–7-0.0010%22 Jan →
dust213–10-0.009%22 Jan →
ancient13–7-0.0129%18 Jan →
dust26–13-0.0716%16 Nov →
ancient13–11-0.0114%16 Nov →
dust213–90.0326%31 Oct →
train16–130.0122%31 Oct →
inferno7–13-0.0015%27 Oct →
ancient13–90.0521%26 Oct →
mirage13–16-0.019%26 Oct →
mirage11–130.0134%26 Oct →
dust213–40.0020%18 Oct →
dust213–50.1118%13 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.