Liam [B]

Liam [B] — CS2 Stats

GB76561197972471250[U:1:12205522]Steam profile ↗✓ No bans

997Tracked matches32%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating18,081Purple band · top ~16.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 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: 18,081 +148 30 May – 18 Oct · 28 days played
17,58122,302peak 22,30230 May18 Oct
22,423Peak Premier in tracked matches
39Days played since 2026-05-30

Premier CS Rating

  • 4,221 below peak (22,302)
  • -1,783 over 30 days · declining
  • -2,504 over 90 days
  • Next: Pink band at 20,000 — 1,919 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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

Share this profile

CSDB.GGLiam [B]FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,081 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateTWWWLLLLLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · +1ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 577ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

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 (+2.3 against its own average).

Aim7.7
Utility4.6
Positioning5.6
Opening Duels3.2
Clutch0.0

Limited utility dependence

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

iM

Plays most like iM 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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.

Reaction time. 552ms 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

Aim7.7
Positioning5.6
Utility4.6
Mechanics6.2
Opening Duels4.2
Win Impact0.0

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time561ms−72ms
first ⅓ avg 633ms → last ⅓ avg 561ms
Headshot accuracy16.8%−7.2%
first ⅓ avg 24.0% → last ⅓ avg 16.8%

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 · ancient, 22 Jul →
47%Best headshot accuracy · 15–15 · overpass, 30 Jun →
438msFastest reaction time · 13–3 · inferno, 29 Aug →
13–1Biggest win · dust2, 17 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
10–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 67% over 9ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C3214–1844%0.02
infernoA1710–759%0.04
ancientD144–1029%0.03
nukeC135–838%0.01
mirageS96–367%0.03
cacheD93–633%-0.01
overpass—42–250%0.01
anubis—21–150%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

199Matches
51%Win rate
1.14Avg K/D
82.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.2316.0
Nuke1100%0.7311.0

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.

16.9%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.2%Spray accuracy
77.8%Counter-strafing
8.6°Preaim
552msReaction time
51.0%T opening success
42.7%CT opening success
0.57Enemies flashed / flash
7.2%Flash assists
10.10HE damage / grenade
2.89Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8852 — below the 4 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–150.0216%18 Oct →
nuke13–60.0226%18 Oct →
mirage13–70.1010%28 Sept →
inferno13–40.0919%28 Sept →
cache6–13-0.0210%28 Sept →
cache5–13-0.0421%28 Sept →
ancient11–13-0.0120%26 Sept →
mirage5–13-0.0114%26 Sept →
dust29–13-0.0113%26 Sept →
cache13–90.037%26 Sept →
nuke8–13-0.0316%26 Sept →
cache10–13-0.0416%26 Sept →
ancient6–130.0220%22 Sept →
dust27–130.0720%22 Sept →
dust211–130.0212%13 Sept →
cache13–30.0530%13 Sept →
ancient10–13-0.066%12 Sept →
nuke9–13-0.042%12 Sept →
mirage7–130.0121%5 Sept →
inferno15–150.0519%4 Sept →
inferno13–110.0617%4 Sept →
dust28–130.0126%4 Sept →
cache3–13-0.0513%4 Sept →
inferno6–130.0220%29 Aug →
inferno13–30.1030%29 Aug →
dust29–130.0115%29 Aug →
dust213–90.0230%27 Aug →
dust213–5-0.0113%27 Aug →
dust20–5-0.0420%27 Aug →
dust27–13-0.0216%22 Aug →
dust213–7-0.057%22 Aug →
nuke9–130.0215%21 Aug →
ancient5–13-0.0014%21 Aug →
dust212–12-0.0218%20 Aug →
nuke13–80.0420%19 Aug →
dust23–130.0022%19 Aug →
dust24–13-0.0114%19 Aug →
dust215–150.0423%31 Jul →
ancient12–160.0715%29 Jul →
inferno5–130.0415%29 Jul →
dust213–100.0342%29 Jul →
inferno13–60.0914%29 Jul →
dust215–150.0621%25 Jul →
dust24–13-0.0027%24 Jul →
ancient13–30.1922%22 Jul →
mirage13–100.0619%22 Jul →
inferno10–130.0220%22 Jul →
nuke5–130.0324%22 Jul →
nuke14–160.0118%21 Jul →
dust213–90.0636%21 Jul →
inferno7–130.0021%21 Jul →
ancient11–13-0.0410%18 Jul →
inferno13–110.058%18 Jul →
ancient6–13-0.063%18 Jul →
cache5–13-0.0321%17 Jul →
ancient13–40.0424%17 Jul →
dust27–130.0818%17 Jul →
inferno13–70.0410%17 Jul →
cache15–15-0.0214%17 Jul →
ancient13–50.0128%17 Jul →
mirage8–13-0.0223%17 Jul →
dust213–10.0615%17 Jul →
ancient13–160.0018%15 Jul →
anubis13–110.0213%13 Jul →
dust213–50.0237%13 Jul →
ancient13–30.0928%13 Jul →
ancient15–150.0620%12 Jul →
dust213–110.0133%12 Jul →
nuke11–13-0.0522%11 Jul →
cache16–120.0220%11 Jul →
mirage13–80.0220%10 Jul →
dust27–13-0.0516%10 Jul →
dust213–160.0632%4 Jul →
inferno13–80.0229%4 Jul →
inferno13–110.0420%2 Jul →
dust213–110.0223%2 Jul →
overpass15–15-0.0247%30 Jun →
ancient8–130.0436%30 Jun →
mirage13–6-0.0111%30 Jun →
overpass14–160.0518%24 Jun →
dust213–70.0818%24 Jun →
dust213–110.0119%24 Jun →
nuke16–120.0622%20 Jun →
inferno3–130.0417%20 Jun →
mirage13–110.0836%20 Jun →
dust28–130.0321%20 Jun →
nuke13–100.0724%12 Jun →
nuke13–70.0119%12 Jun →
inferno6–130.0113%12 Jun →
dust216–140.0124%10 Jun →
overpass13–11-0.0226%9 Jun →
dust215–15-0.0425%6 Jun →
inferno13–40.0120%6 Jun →
nuke11–130.0121%6 Jun →
dust213–50.0438%6 Jun →
mirage13–50.0114%5 Jun →
dust213–40.0638%5 Jun →
anubis7–130.0620%3 Jun →
inferno13–7-0.0414%3 Jun →
overpass13–90.0436%30 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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