大刘至666

大刘至666 — CS2 Stats

US76561199504438840[U:1:1544173112]Steam profile ↗✓ No bans

823Tracked matches48%Win rate2024Tracked since
CSDB Rating2.8 LearningPositional Player
WingmanSilver III
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 27 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,118 +2,716 27 Apr29 May · 26 days played
9,40212,219peak 12,21927 Apr29 May
12,426Peak Premier in tracked matches
685Highest Faceit ELO seen on CSDB
29Days played since 2026-04-27

Faceit ELO

  • At peak — 685
  • Next: Level 3 at 751 66 to go
  • Reached: Level 2

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

Share this profile

CSDB.GG大刘至666PEAK ELO685csdb.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

Aim19
Positioning51
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49465Last 10049%Win rateLWLLWTLWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.6pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 678ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 713ms

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 PlayerPositioning stands above the rest of this profile (+0.8 against its own average).

Aim1.9
Utility4.2
Positioning5.1
Opening Duels4.1
Clutch3.6

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

m0NESY

Plays most like m0NESY 57% 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

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning5.1
Utility4.2
Mechanics0.6
Opening Duels3.4
Win Impact4.4

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time673ms+17ms
first ⅓ avg 656ms → last ⅓ avg 673ms
Headshot accuracy11.9%−2.3%
first ⅓ avg 14.1% → last ⅓ avg 11.9%

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

0.10Best match rating · 13–7 · inferno, 16 May
33%Best headshot accuracy · 13–8 · mirage, 6 May
453msFastest reaction time · 6–13 · anubis, 14 May
13–1Biggest win · ancient, 4 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
1111In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 62% over 29mirageWeakest map · 38% over 32
MapGradePlayedRecordWin rateAvg rating
mirageC32122038%-0.03
dust2A29181162%-0.00
infernoB137654%0.00
ancientA138562%-0.03
nukeC52340%-0.00
anubis41325%-0.03
warden1010%-0.00
train1010%0.01
cache110100%0.01
overpass1010%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 32). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches
52%Win rate
0.77Avg K/D
64.3ADR
35%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2357%0.6811.2
Dust21656%0.9714.1
Inferno1560%0.7613.7
Ancient1060%0.7912.1
Nuke944%0.7211.8
Anubis825%0.6810.9
Overpass333%0.7513.7

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.

11.8%Headshot accuracy
28.8%Accuracy (enemy spotted)
40.2%Spray accuracy
52.9%Counter-strafing
12.5°Preaim
679msReaction time
34.1%T opening success
53.4%CT opening success
0.49Enemies flashed / flash
5.8%Flash assists
5.91HE damage / grenade
7.55Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4855° — above the 12° mark we flag

    Aim Training
  2. 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 11.8096% — below the 15% mark we flag

    Aim Training
  3. 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 0.4899 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

38% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0317%19 Sept
inferno13–9-0.113%19 Sept
mirage11–13-0.015%17 Sept
mirage10–13-0.0713%17 Sept
nuke13–70.0925%17 Sept
warden12–12-0.0013%14 Jun
train6–130.0115%14 Jun
cache13–80.0110%14 Jun
nuke10–13-0.086%14 Jun
mirage13–60.0125%14 Jun
dust24–13-0.096%14 Jun
ancient8–13-0.0720%14 Jun
dust211–13-0.008%29 May
ancient13–11-0.027%29 May
mirage4–13-0.075%27 May
mirage13–8-0.0119%27 May
dust28–13-0.048%27 May
dust211–13-0.046%27 May
mirage13–7-0.1212%27 May
nuke5–13-0.0315%27 May
mirage13–11-0.032%27 May
ancient3–13-0.0112%26 May
dust213–80.0516%26 May
nuke13–110.0414%25 May
dust213–90.0814%25 May
inferno13–70.0820%25 May
ancient13–80.0010%25 May
mirage2–13-0.0716%25 May
dust210–130.058%25 May
dust213–20.0312%25 May
inferno15–15-0.0310%23 May
mirage12–16-0.0013%23 May
inferno3–13-0.058%23 May
mirage5–130.0127%22 May
dust213–9-0.0115%22 May
ancient13–3-0.048%22 May
mirage13–9-0.0314%22 May
dust213–8-0.007%22 May
dust25–13-0.0929%21 May
dust213–20.0613%21 May
mirage11–13-0.005%20 May
overpass7–13-0.053%20 May
dust29–13-0.0516%20 May
dust213–90.019%19 May
mirage8–13-0.039%19 May
dust213–50.024%19 May
anubis11–13-0.017%18 May
nuke2–13-0.0421%18 May
dust213–110.0821%18 May
mirage13–7-0.0112%17 May
dust27–3-0.0124%17 May
mirage9–13-0.036%16 May
anubis13–9-0.023%16 May
inferno13–70.1011%16 May
anubis5–13-0.0221%16 May
mirage11–13-0.066%16 May
mirage15–15-0.0518%14 May
anubis6–13-0.069%14 May
dust216–13-0.0518%14 May
mirage11–130.0011%14 May
dust213–11-0.0217%13 May
dust213–50.0714%13 May
inferno13–9-0.017%12 May
mirage11–13-0.0012%12 May
dust213–10-0.045%12 May
mirage4–13-0.0413%12 May
ancient15–15-0.0211%11 May
inferno10–13-0.0416%11 May
mirage11–13-0.0217%9 May
ancient13–10-0.0621%9 May
inferno8–13-0.008%9 May
dust215–15-0.0516%9 May
ancient11–13-0.0519%7 May
dust210–130.0216%7 May
mirage13–11-0.0415%7 May
mirage9–13-0.0313%7 May
mirage5–13-0.109%7 May
mirage13–80.0333%6 May
ancient12–160.0613%6 May
mirage13–110.018%6 May
inferno10–130.0712%6 May
dust25–13-0.0622%5 May
ancient16–12-0.0419%4 May
mirage13–9-0.0812%4 May
inferno9–13-0.0610%4 May
ancient13–1-0.094%4 May
mirage13–110.0311%4 May
dust213–40.055%2 May
mirage11–13-0.028%1 May
inferno16–14-0.046%30 Apr
dust213–11-0.0126%30 Apr
dust213–90.0115%30 Apr
dust213–50.0119%30 Apr
mirage4–13-0.0911%29 Apr
mirage13–11-0.038%29 Apr
inferno13–60.1018%29 Apr
inferno13–10.0320%27 Apr
ancient13–50.0113%27 Apr
ancient13–60.0216%27 Apr
mirage8–13-0.008%27 Apr

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 →