Young Lord

Young Lord — CS2 Stats

76561197969929745[U:1:9664017]Steam profile ↗✓ No bans

1,498Tracked matches68%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating13,709Blue band · top ~35.2% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Dec 2025 (330 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: 13,709 +2,569 9 Jul – 8 Dec · 39 days played
10,04515,326peak 15,3269 Jul8 Dec
15,685Peak Premier in tracked matches
47Days played since 2025-07-09

Premier CS Rating

  • 1,617 below peak (15,326)
  • +1,433 over 30 days · improving
  • +266 over 90 days
  • Next: Purple band at 15,000 — 1,291 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.GGYoung LordFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,709 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWTWLLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −2.7pp headshot accuracy · −20ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 589ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 642ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim4.5
Utility6.2
Positioning5.0
Opening Duels4.8
Clutch3.4

Effective 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

device

Plays most like device 72% 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 675ms 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

Aim4.5
Positioning5.0
Utility6.2
Mechanics5.2
Opening Duels4.6
Win Impact10.0

Composite 5.2/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time678ms+31ms
first ⅓ avg 648ms → last ⅓ avg 678ms
Headshot accuracy15.1%+0.3%
first ⅓ avg 14.8% → last ⅓ avg 15.1%

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

0.24Best match rating · 9–0 · inferno, 15 Sept →
35%Best headshot accuracy · 10–13 · inferno, 13 Oct →
438msFastest reaction time · 4–13 · ancient, 15 Sept →
13–3Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–14In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 50% over 20ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%0.01
nukeB2010–1050%0.02
overpassB157–847%0.01
ancientD123–925%-0.01
dust2B126–650%0.00
mirageC114–736%-0.02
trainC52–340%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

188Matches
53%Win rate
1.05Avg K/D
75.0ADR
40%Headshot %

Clutches & streaks

37%1v1 clutch win
32%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3256%0.8912.5
Ancient2861%1.1615.0
Nuke1753%0.9813.8
Anubis825%0.9614.9
Dust2838%0.9514.6
Train729%1.0215.7
Mirage560%0.9516.0
Vertigo367%0.9913.0

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.

14.4%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.5%Spray accuracy
73.3%Counter-strafing
11.5°Preaim
675msReaction time
43.4%T opening success
53.2%CT opening success
0.82Enemies flashed / flash
4.8%Flash assists
12.32HE damage / grenade
19.19Flashes / 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. 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 14.4277% — below the 15% mark we flag

    Aim Training →
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.

25% 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
inferno13–8-0.0113%8 Dec →
inferno15–150.0216%27 Nov →
nuke13–100.0717%27 Nov →
ancient12–16-0.0413%24 Nov →
inferno7–13-0.0021%21 Nov →
nuke13–80.0113%21 Nov →
inferno13–11-0.056%14 Nov →
inferno13–10-0.0211%14 Nov →
nuke13–11-0.0113%14 Nov →
overpass4–130.0416%10 Nov →
nuke13–100.0111%5 Nov →
dust213–70.0226%5 Nov →
inferno13–80.0721%5 Nov →
inferno13–100.0818%4 Nov →
train11–130.0518%30 Oct →
inferno13–70.079%25 Oct →
inferno16–140.0321%25 Oct →
dust213–90.0713%23 Oct →
inferno8–13-0.0312%21 Oct →
overpass10–13-0.0518%21 Oct →
nuke6–130.0715%19 Oct →
dust216–12-0.029%18 Oct →
dust213–90.0218%18 Oct →
overpass10–13-0.017%16 Oct →
nuke13–110.0711%16 Oct →
dust215–150.0116%16 Oct →
mirage13–40.0213%16 Oct →
mirage7–13-0.0113%16 Oct →
nuke13–30.0218%15 Oct →
nuke13–4-0.026%15 Oct →
mirage2–13-0.1211%15 Oct →
dust213–110.0122%14 Oct →
inferno10–13-0.0435%13 Oct →
nuke13–60.069%13 Oct →
nuke6–13-0.0319%10 Oct →
mirage8–13-0.0312%7 Oct →
nuke7–130.0611%7 Oct →
nuke5–13-0.037%7 Oct →
mirage15–150.0218%6 Oct →
ancient11–13-0.0323%6 Oct →
inferno11–130.0129%6 Oct →
mirage4–130.0111%3 Oct →
inferno14–16-0.0114%30 Sept →
overpass14–16-0.0416%29 Sept →
mirage13–11-0.0410%24 Sept →
ancient9–13-0.0313%24 Sept →
overpass13–4-0.0010%20 Sept →
train13–60.1310%19 Sept →
nuke1–90.0121%19 Sept →
inferno10–130.0215%19 Sept →
inferno11–130.027%19 Sept →
overpass5–13-0.0114%19 Sept →
train9–130.0313%19 Sept →
inferno13–70.0215%19 Sept →
nuke11–130.0415%19 Sept →
nuke11–130.0315%18 Sept →
dust26–13-0.0414%18 Sept →
dust27–130.028%18 Sept →
dust28–130.0010%18 Sept →
nuke8–13-0.0729%16 Sept →
ancient10–130.0312%16 Sept →
nuke13–110.0511%16 Sept →
inferno9–00.2419%15 Sept →
ancient4–13-0.0515%15 Sept →
overpass7–130.0517%22 Aug →
dust211–13-0.0226%22 Aug →
ancient11–13-0.0113%19 Aug →
inferno13–50.0114%19 Aug →
train21–250.0313%18 Aug →
overpass13–70.0210%18 Aug →
ancient13–70.0316%18 Aug →
nuke13–90.0510%16 Aug →
overpass13–90.0418%8 Aug →
ancient13–110.0720%8 Aug →
ancient10–13-0.0010%8 Aug →
inferno11–13-0.0011%8 Aug →
overpass13–60.0726%8 Aug →
dust210–13-0.0221%8 Aug →
inferno13–70.0411%8 Aug →
inferno3–13-0.048%8 Aug →
nuke14–16-0.0118%7 Aug →
inferno11–13-0.070%7 Aug →
ancient9–13-0.0319%4 Aug →
overpass13–11-0.0118%4 Aug →
nuke10–13-0.044%31 Jul →
overpass13–8-0.018%30 Jul →
overpass10–130.0028%29 Jul →
overpass9–130.038%23 Jul →
overpass13–5-0.0221%23 Jul →
inferno9–13-0.0219%22 Jul →
mirage9–13-0.0514%22 Jul →
ancient13–10-0.0314%22 Jul →
inferno13–11-0.028%22 Jul →
mirage13–50.0024%21 Jul →
mirage11–13-0.039%21 Jul →
dust213–6-0.0215%17 Jul →
train13–40.0424%15 Jul →
ancient18–22-0.0121%10 Jul →
mirage13–7-0.0120%10 Jul →
inferno10–13-0.029%9 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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