CaptainLiu

CaptainLiu — CS2 Stats

76561198413818031[U:1:453552303]Steam profile ↗✓ No bans

711Tracked matches52%Win rate2020Tracked since
2,979Hours in CS5Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
CSDB Leaderboard#10296 of 261308 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 26,491 -894 27 Mar – 13 Jun · 25 days played
25,53328,732peak 28,73227 Mar13 Jun
29,011Peak Premier in tracked matches
34Days played since 2025-03-27

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate60.2%50.9%
Shot accuracy18.2%13.7%
Kill/death ratio1.281.09
Match win rate55.8%48.4%

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CSDB.GGCaptainLiuFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning48
Utility27

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateWWWLWWWWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −4.6pp headshot accuracy · −70ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 574ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 590ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 625ms

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 (+2.5 against its own average).

Aim8.2
Utility2.7
Positioning4.8
Opening Duels1.6
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

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning4.8
Utility2.7
Mechanics7.8
Opening Duels1.5
Win Impact5.6

Composite 5.7/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time642ms+13ms
first ⅓ avg 629ms → last ⅓ avg 642ms
Headshot accuracy23.8%−1.6%
first ⅓ avg 25.4% → last ⅓ avg 23.8%

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

0.13Best match rating · 12–12 · dust2, 2 May →
44%Best headshot accuracy · 13–9 · dust2, 4 Apr →
438msFastest reaction time · 13–10 · mirage, 2 Apr →
13–0Biggest win · mirage, 1 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
6–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 10ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.00
dust2B2411–1346%0.03
infernoB2010–1050%0.01
ancientC125–742%0.01
anubisA106–460%0.01
nuke—31–233%0.01
train—21–150%0.02
jura—10–10%0.03
vertigo—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,796Lifetime kills
1.28K/D · Top 25% of Level 10 players
3,873Matches
55.8%Match win rate · Top 10% of Level 10 players
60.2%Headshot % · Top 25% of Level 10 players
18.2%Shot accuracy · Top 25% of Level 10 players
14,753MVPs
1,859Hours (in match)
5,793Bombs planted
1,539Bombs defused

Most-used weapons

AK-4742,309
AWP7,818
Knife1,956
FAMAS1,529
MP91,507

Lifetime map wins

8,704inferno
6,449dust2
996cbble
747train
739nuke
456vertigo
61lake
44assault

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

Faceit stats

Combat

520Matches
56%Win rate
1.30Avg K/D
82.5ADR
57%Headshot %

Clutches & streaks

17%1v1 clutch win
9%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2650%1.2316.5
Inferno1164%1.1914.7
Ancient1050%1.2419.3
Anubis633%1.2521.0
Vertigo520%0.9814.2
Dust2250%0.9817.0

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.

23.5%Headshot accuracy
38.6%Accuracy (enemy spotted)
42.4%Spray accuracy
85.3%Counter-strafing
10.4°Preaim
643msReaction time
22.5%T opening success
42.3%CT opening success
0.49Enemies flashed / flash
10.2%Flash assists
7.78HE damage / grenade
4.54Flashes / 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. 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 0.4855 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 22.5339% — below the 40% mark we flag

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0118%10 May →
anubis13–10-0.0413%10 May →
mirage13–40.0118%6 May →
ancient8–13-0.0216%6 May →
ancient13–70.0635%20 Mar →
ancient13–40.0434%14 Feb →
mirage13–80.0427%10 Feb →
train13–80.0124%29 Jul →
mirage11–130.0125%29 Jul →
inferno8–13-0.029%13 Jun →
mirage5–130.0233%13 Jun →
ancient8–13-0.0824%12 Jun →
dust213–80.0635%12 Jun →
inferno13–20.0726%12 Jun →
mirage13–8-0.0218%12 Jun →
dust213–40.1021%5 Jun →
mirage1–13-0.0741%5 Jun →
inferno7–130.0425%5 Jun →
inferno10–13-0.0217%4 Jun →
dust213–30.0724%4 Jun →
ancient12–120.0429%4 Jun →
dust213–40.1132%4 Jun →
dust23–130.0624%4 Jun →
jura5–130.0333%4 Jun →
inferno7–13-0.0417%3 Jun →
mirage5–130.0333%3 Jun →
anubis13–160.0117%3 Jun →
mirage7–13-0.0211%1 Jun →
mirage13–0-0.0320%1 Jun →
ancient13–11-0.0117%1 Jun →
inferno13–6-0.0016%30 May →
dust213–100.0625%30 May →
dust29–13-0.0124%30 May →
inferno2–13-0.0419%29 May →
dust28–130.0026%29 May →
inferno13–100.1017%28 May →
dust213–80.0322%28 May →
anubis5–13-0.0222%28 May →
inferno11–130.0723%28 May →
anubis9–130.0515%27 May →
anubis13–70.0121%27 May →
mirage11–13-0.0023%27 May →
ancient14–16-0.0316%27 May →
inferno4–13-0.0524%27 May →
vertigo9–70.0633%27 May →
dust215–15-0.0315%27 May →
inferno13–11-0.0420%26 May →
dust22–130.0325%26 May →
inferno2–00.000%26 May →
mirage7–13-0.0423%26 May →
dust23–13-0.0530%26 May →
mirage13–90.0515%26 May →
ancient9–130.0115%26 May →
anubis13–5-0.0017%26 May →
nuke3–13-0.0016%26 May →
mirage11–13-0.0237%25 May →
mirage8–13-0.0619%24 May →
mirage13–70.0121%24 May →
mirage13–11-0.0019%24 May →
mirage13–6-0.0032%24 May →
dust213–7-0.0124%24 May →
mirage13–6-0.0322%24 May →
mirage13–80.0127%24 May →
ancient13–70.0420%24 May →
anubis13–8-0.0013%15 May →
nuke1–9-0.0228%15 May →
train7–130.0221%12 May →
mirage15–150.0127%12 May →
inferno13–80.0230%9 May →
inferno13–8-0.0122%9 May →
ancient13–70.0520%8 May →
mirage13–100.0220%8 May →
inferno1–13-0.0817%3 May →
anubis13–11-0.0020%3 May →
ancient11–130.0120%3 May →
dust211–130.0824%2 May →
dust212–120.1326%2 May →
inferno10–130.0328%27 Apr →
anubis14–160.0428%27 Apr →
dust213–90.0729%9 Apr →
mirage11–130.0038%7 Apr →
inferno13–90.1033%7 Apr →
mirage0–8-0.0227%7 Apr →
ancient15–150.0131%5 Apr →
anubis13–50.1119%5 Apr →
inferno13–70.0413%5 Apr →
dust213–90.0526%5 Apr →
mirage13–50.0125%5 Apr →
dust213–90.0444%4 Apr →
inferno13–60.1139%4 Apr →
mirage13–100.0216%2 Apr →
dust25–13-0.0320%31 Mar →
dust213–40.0326%28 Mar →
dust28–130.0718%28 Mar →
mirage8–13-0.0136%28 Mar →
inferno8–13-0.0320%28 Mar →
nuke13–90.0531%28 Mar →
dust213–160.0326%28 Mar →
dust211–13-0.0120%27 Mar →
dust24–13-0.0617%27 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.