Liam

Liam — CS2 Stats

GB76561198182134430[U:1:221868702]Steam profile ↗✓ No bans

905Tracked matches67%Win rate2020Tracked since
2,570Hours in CS2Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Premier CS Rating18,602Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (13 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: 18,602 -422 29 Jun – 21 Oct · 23 days played
17,46221,160peak 21,16029 Jun21 Oct
21,370Peak Premier in tracked matches
35Days played since 2026-06-29

Premier CS Rating

  • 2,558 below peak (21,160)
  • +811 over 30 days · improving
  • +1,067 over 90 days
  • Next: Pink band at 20,000 — 1,398 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-05
  • Purple band first seen 2026-09-05

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.9%46.8%48.2%4.3% short
Shot accuracy16.4%13.0%13.2%above
Kill/death ratio0.911.061.070.16 short
Match win rate61.3%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLiamFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER18,602 · 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

Aim85
Positioning59
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLTWWWLWWWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −5.0pp headshot accuracy · −31ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 498ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 509ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim8.5
Utility5.6
Positioning5.9
Opening Duels1.3
Clutch6.8

Sharp aimerEffective 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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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 32% on CT — first contacts on the defending side are being lost.

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

Aim8.5
Positioning5.9
Utility5.6
Mechanics7.5
Opening Duels3.8
Win Impact10.0

Composite 7.1/10 (Strong), 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 -0.02 → last ⅓ avg -0.01
Reaction time526ms−83ms
first ⅓ avg 610ms → last ⅓ avg 526ms
Headshot accuracy19.2%−4.6%
first ⅓ avg 23.8% → 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

0.09Best match rating · 13–6 · mirage, 10 Sept →
48%Best headshot accuracy · 9–13 · dust2, 7 Jul →
352msFastest reaction time · 1–13 · nuke, 21 Sept →
13–1Biggest win · ancient, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 69% over 13anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3319–1458%-0.01
cacheB168–850%-0.00
dust2C166–1038%-0.01
nukeS139–469%-0.00
infernoC94–544%0.00
ancientC73–443%-0.04
anubisD51–420%-0.06
train—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,556Lifetime kills
0.91K/D
8,551Matches
61.3%Match win rate · Top 5% of Level 8 players
43.9%Headshot %
16.4%Shot accuracy · Top 25% of Level 8 players
7,893MVPs
1,379Hours (in match)
5,008Bombs planted
679Bombs defused

Most-used weapons

AK-4717,133
SG 5535,124
AUG3,132
MP72,471
AWP2,362
MP91,715

Lifetime map wins

5,500inferno
5,331dust2
4,329nuke
2,813train
2,059vertigo
260cbble
191lake
164italy

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

Faceit stats

Combat

239Matches
56%Win rate
0.76Avg K/D
73.0ADR
44%Headshot %

Clutches & streaks

54%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1164%0.9613.8
Cache2100%1.5417.0
Ancient2100%0.9510.5
Inferno1100%1.1523.0
Nuke1100%0.8319.0
Dust21100%1.0716.0

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.

18.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
40.8%Spray accuracy
83.9%Counter-strafing
7.1°Preaim
523msReaction time
58.6%T opening success
31.6%CT opening success
0.72Enemies flashed / flash
5.9%Flash assists
7.46HE damage / grenade
6.54Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.5954% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0225%21 Oct →
mirage15–15-0.0415%20 Oct →
nuke13–40.0723%20 Oct →
mirage16–130.0316%5 Oct →
mirage13–5-0.058%5 Oct →
cache6–13-0.028%1 Oct →
inferno13–40.0616%1 Oct →
ancient13–9-0.0627%30 Sept →
cache13–60.0521%28 Sept →
mirage5–130.0219%28 Sept →
mirage13–8-0.0214%24 Sept →
mirage8–13-0.0818%23 Sept →
dust213–110.0324%23 Sept →
mirage16–14-0.0218%22 Sept →
mirage13–6-0.0124%21 Sept →
mirage13–60.0217%21 Sept →
ancient13–10.0022%21 Sept →
mirage13–90.0229%21 Sept →
nuke1–13-0.1236%21 Sept →
mirage7–13-0.0328%21 Sept →
inferno13–110.0519%17 Sept →
dust213–9-0.0414%17 Sept →
anubis15–15-0.0614%17 Sept →
nuke13–50.0315%17 Sept →
mirage13–30.0614%17 Sept →
mirage15–15-0.0816%16 Sept →
nuke3–13-0.0423%16 Sept →
nuke6–13-0.0615%16 Sept →
mirage13–60.019%16 Sept →
mirage9–13-0.0316%14 Sept →
dust29–13-0.0017%14 Sept →
nuke16–13-0.0131%13 Sept →
dust213–40.0321%10 Sept →
ancient6–13-0.1420%10 Sept →
ancient16–13-0.0314%10 Sept →
inferno3–13-0.0523%10 Sept →
mirage0–5-0.120%10 Sept →
mirage13–60.0926%10 Sept →
anubis9–13-0.0622%8 Sept →
dust210–13-0.0439%8 Sept →
dust25–13-0.0127%7 Sept →
cache8–130.0524%7 Sept →
cache8–13-0.0419%7 Sept →
cache11–13-0.0430%3 Sept →
nuke13–3-0.0320%3 Sept →
mirage13–10.0426%3 Sept →
mirage13–30.0224%3 Sept →
dust29–13-0.0217%3 Sept →
inferno5–13-0.0234%1 Sept →
mirage13–9-0.0117%1 Sept →
nuke13–11-0.0311%1 Sept →
nuke13–80.0832%1 Sept →
cache13–50.0918%1 Sept →
anubis4–13-0.0914%1 Sept →
dust213–40.0136%1 Sept →
dust28–13-0.0424%27 Aug →
mirage7–130.0223%27 Aug →
cache13–30.0018%27 Aug →
cache3–13-0.0518%27 Aug →
mirage13–11-0.0018%25 Aug →
cache13–70.0733%25 Aug →
dust213–80.0617%25 Aug →
nuke13–40.0320%25 Aug →
mirage4–13-0.0727%25 Aug →
cache13–9-0.0331%25 Aug →
mirage13–6-0.0134%5 Aug →
cache15–15-0.0625%5 Aug →
mirage11–13-0.0419%5 Aug →
dust27–13-0.0425%5 Aug →
mirage13–5-0.0613%5 Aug →
nuke13–110.0631%4 Aug →
mirage10–13-0.0523%30 Jul →
cache11–13-0.0122%30 Jul →
inferno6–13-0.0222%30 Jul →
inferno13–9-0.0034%30 Jul →
cache13–4-0.0319%30 Jul →
ancient5–130.0132%29 Jul →
anubis13–10-0.0126%29 Jul →
nuke10–13-0.0324%29 Jul →
mirage13–6-0.0030%23 Jul →
mirage3–13-0.0426%23 Jul →
dust24–130.0113%23 Jul →
inferno13–70.0822%23 Jul →
inferno15–15-0.0413%16 Jul →
ancient6–13-0.0625%13 Jul →
dust25–13-0.0132%9 Jul →
dust213–60.0025%8 Jul →
cache12–12-0.0123%8 Jul →
cache13–5-0.0620%8 Jul →
cache13–30.0226%7 Jul →
anubis7–13-0.0816%7 Jul →
dust29–13-0.0548%7 Jul →
train3–13-0.0521%7 Jul →
mirage4–13-0.0510%4 Jul →
mirage7–130.0122%2 Jul →
nuke13–110.0128%2 Jul →
dust214–16-0.0414%30 Jun →
mirage13–70.0520%30 Jun →
ancient9–13-0.0140%30 Jun →
mirage16–12-0.0324%29 Jun →

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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