Labs

Labs — CS2 Stats

76561198163954604[U:1:203688876]Steam profile ↗✓ No bans

731Tracked matches46%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating14,267Blue band · top ~32.3% of ranked players (population est.)
FaceitLevel 4 · 1,108 ELOTop 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (15 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.

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. 30 days played since 20 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: 14,267 -1,298 20 Apr7 Sept · 21 days played
12,52016,436peak 16,43620 Apr7 Sept
17,096Peak Premier in tracked matches
1,108Highest Faceit ELO seen on CSDB
30Days played since 2026-04-20

Faceit ELO

  • At peak — 1,108
  • Next: Level 6 at 1,201 93 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 2,169 below peak (16,436)
  • +807 over 30 days · improving
  • Next: Purple band at 15,000 733 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGLabsFACEITLevel 4 · 1,108 ELOSTANDINGTop 81.0% of rankedPREMIER14,267 · Blue bandPEAK ELO1,108csdb.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

Aim41
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43543Last 10043%Win rateLWLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −1.9pp headshot accuracy · +2ms 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 -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 687ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 664ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 663ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim4.1
Utility6.1
Positioning4.5
Opening Duels2.9
Clutch3.4

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

jL

Plays most like jL 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 704ms 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

Aim4.1
Positioning4.5
Utility6.1
Mechanics7.7
Opening Duels2.3
Win Impact3.8

Composite 4.6/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time700ms−3ms
first ⅓ avg 703ms → last ⅓ avg 700ms
Headshot accuracy16.6%+2.0%
first ⅓ avg 14.6% → last ⅓ avg 16.6%

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 · 13–4 · cache, 2 Aug
39%Best headshot accuracy · 13–4 · mirage, 22 Apr
484msFastest reaction time · 13–9 · mirage, 26 Aug
13–1Biggest win · mirage, 25 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
44In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%-0.03
mirageB189950%-0.02
dust2D1621413%-0.03
ancientB126650%-0.03
cacheB105550%-0.01
nukeC104640%-0.02
anubisA85363%-0.02
overpass220100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,161Matches
49%Win rate
1.05Avg K/D
76.8ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
14%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3540%1.1414.9
Inferno2045%0.8813.9
Anubis1747%0.9912.9
Dust21250%0.7713.4
Ancient967%1.1216.4
Nuke771%1.3919.9
Overpass520%1.1914.4
Train425%1.1715.5

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.

16.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
29.9%Spray accuracy
84.8%Counter-strafing
12.4°Preaim
704msReaction time
32.1%T opening success
46.0%CT opening success
0.58Enemies flashed / flash
4.5%Flash assists
10.08HE damage / grenade
13.96Flashes / 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 12.4129° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.7386ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0714%7 Sept
cache13–10-0.0511%7 Sept
inferno11–13-0.018%27 Aug
mirage13–90.0026%26 Aug
nuke13–16-0.0315%22 Aug
dust213–70.015%22 Aug
inferno13–4-0.0816%16 Aug
mirage4–13-0.1012%15 Aug
inferno6–13-0.0925%15 Aug
mirage8–13-0.0116%13 Aug
inferno8–13-0.0314%13 Aug
cache2–130.0035%6 Aug
inferno13–7-0.0118%6 Aug
cache16–12-0.084%4 Aug
cache6–13-0.0117%3 Aug
cache13–40.1022%2 Aug
inferno13–70.0414%2 Aug
anubis4–110.0117%2 Aug
nuke13–4-0.018%2 Aug
inferno7–13-0.0918%2 Aug
inferno13–80.0313%2 Aug
cache10–13-0.0130%31 Jul
nuke13–9-0.0226%31 Jul
mirage12–16-0.0524%30 Jul
dust29–13-0.0131%18 Jul
ancient13–7-0.088%18 Jul
dust215–15-0.0418%12 May
nuke15–150.0516%12 May
mirage13–8-0.0412%12 May
inferno8–130.019%12 May
mirage13–80.0721%12 May
mirage10–13-0.009%12 May
inferno4–13-0.0815%9 May
nuke6–13-0.0811%9 May
ancient11–13-0.0010%9 May
ancient13–11-0.029%9 May
anubis9–13-0.0412%9 May
nuke9–13-0.0927%9 May
ancient16–12-0.0117%9 May
nuke3–13-0.0118%8 May
dust21–13-0.0518%8 May
dust26–13-0.100%8 May
mirage2–13-0.0032%8 May
dust24–13-0.0523%8 May
ancient13–3-0.0112%8 May
ancient11–13-0.053%8 May
ancient10–13-0.0721%7 May
mirage13–9-0.0513%7 May
dust26–13-0.0316%7 May
overpass13–70.019%7 May
anubis13–100.0012%7 May
ancient13–9-0.0510%7 May
inferno9–20.0311%7 May
dust29–13-0.0717%6 May
mirage8–130.0516%2 May
inferno13–40.049%2 May
inferno13–6-0.0310%2 May
cache13–40.0519%30 Apr
cache3–13-0.1120%30 Apr
anubis15–150.0119%30 Apr
inferno16–140.0011%30 Apr
mirage10–13-0.0627%30 Apr
cache13–60.0238%29 Apr
cache7–13-0.0417%29 Apr
ancient11–13-0.0114%28 Apr
dust29–130.0324%27 Apr
inferno4–13-0.0819%27 Apr
inferno6–13-0.124%25 Apr
dust25–130.0111%25 Apr
nuke10–13-0.0513%25 Apr
mirage13–1-0.057%25 Apr
anubis13–8-0.0610%25 Apr
inferno8–13-0.0519%24 Apr
inferno7–130.0023%23 Apr
ancient4–13-0.0216%22 Apr
dust28–13-0.0821%22 Apr
overpass13–9-0.0334%22 Apr
inferno9–13-0.0113%22 Apr
dust213–100.0815%22 Apr
inferno13–100.069%22 Apr
mirage13–7-0.0822%22 Apr
mirage13–40.0439%22 Apr
nuke16–12-0.0113%22 Apr
dust28–13-0.0413%22 Apr
dust24–13-0.079%22 Apr
anubis13–11-0.005%21 Apr
mirage10–130.0021%21 Apr
nuke13–110.0519%21 Apr
ancient13–10-0.0016%21 Apr
dust21–13-0.068%20 Apr
ancient9–13-0.0722%20 Apr
anubis13–4-0.0112%20 Apr
inferno10–130.0316%20 Apr
mirage13–4-0.037%20 Apr
anubis13–9-0.0610%20 Apr
inferno5–13-0.0512%20 Apr
mirage7–13-0.048%20 Apr
mirage16–120.028%20 Apr
dust26–13-0.0621%20 Apr
inferno13–7-0.075%20 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 →