NumlocK

NumlocK — CS2 Stats

76561197962785865[U:1:2520137]Steam profile ↗✓ No bans

6,961Tracked matches34%Win rate2020Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating22,045Top 50% of 205,416 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#53908 of 252622 tracked
FaceitLevel 9 · 1,876 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (4 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: 22,045 -1,379 16 Jul – 13 Oct · 22 days played
21,40124,898peak 24,89816 Jul13 Oct
24,999Peak Premier in tracked matches
1,876Highest Faceit ELO seen on CSDB
51Days played since 2026-07-10

Faceit ELO

  • At peak — 1,876
  • Next: Level 10 at 2,001 — 125 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-06
  • Level 8 first seen 2026-09-06

Premier CS Rating

  • 2,853 below peak (24,898)
  • -1,555 over 30 days · declining
  • -1,379 over 90 days
  • Next: Red band at 25,000 — 2,955 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGNumlocKFACEITLevel 9 · 1,876 ELOSTANDINGTop 20.7% of rankedPREMIER22,045 · Pink bandPEAK ELO1,876csdb.gg/stats

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Performance scores

Aim64
Positioning44
Utility52

0–100 skill scores via Leetify.

Recent form

COLD46–50–4Last 10046%Win rateLLWWLLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · −6ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 563ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

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 (+1.7 against its own average).

Aim6.4
Utility5.2
Positioning4.4
Opening Duels1.3
Clutch3.0

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

ZywOo

Plays most like ZywOo 92% 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

Reaction time. 561ms 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

Aim6.4
Positioning4.4
Utility5.2
Mechanics5.5
Opening Duels2.6
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time560ms−98ms
first ⅓ avg 658ms → last ⅓ avg 560ms
Headshot accuracy16.0%−3.8%
first ⅓ avg 19.8% → last ⅓ avg 16.0%

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

0.16Best match rating · 3–13 · dust2, 11 Jul →
45%Best headshot accuracy · 3–13 · dust2, 11 Jul →
391msFastest reaction time · 13–10 · anubis, 26 Sept →
13–1Biggest win · anubis, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–15In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 60% over 15ancientWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A2414–1058%0.02
ancientD195–1426%-0.01
anubisC176–1135%-0.01
mirageA159–660%-0.00
infernoC125–742%0.02
nukeB84–450%0.00
cache—42–250%0.04
train—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,026Matches
50%Win rate
0.98Avg K/D
76.3ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage67948%0.9714.8
Inferno40655%1.0915.5
Ancient34546%0.9314.6
Dust233653%1.0515.9
Anubis24844%0.9314.8
Nuke19154%1.0315.9
Overpass6942%0.8913.8
Vertigo5345%0.8514.2

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.

16.4%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.2%Spray accuracy
74.6%Counter-strafing
9.1°Preaim
561msReaction time
47.4%T opening success
33.4%CT opening success
0.53Enemies flashed / flash
3.2%Flash assists
8.93HE damage / grenade
13.23Flashes / 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 33.4369% — 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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0520%16 Oct →
nuke11–130.0010%13 Oct →
inferno13–60.0310%13 Oct →
mirage13–60.0613%13 Oct →
cache5–13-0.0122%13 Oct →
anubis13–160.0818%11 Oct →
ancient10–130.0321%11 Oct →
anubis11–13-0.0516%11 Oct →
anubis11–130.0211%11 Oct →
mirage13–6-0.0520%10 Oct →
cache13–80.1413%10 Oct →
dust210–130.0020%9 Oct →
inferno11–13-0.070%7 Oct →
mirage7–13-0.0324%6 Oct →
dust213–40.0516%6 Oct →
ancient7–130.0120%5 Oct →
inferno15–150.0520%5 Oct →
dust213–60.0414%3 Oct →
anubis22–20-0.0613%2 Oct →
anubis13–100.0424%26 Sept →
ancient6–130.0223%25 Sept →
ancient8–13-0.0515%25 Sept →
anubis5–13-0.0314%24 Sept →
dust22–13-0.0711%24 Sept →
ancient13–30.1528%24 Sept →
ancient11–13-0.0318%17 Sept →
ancient11–13-0.0213%17 Sept →
mirage9–130.009%16 Sept →
mirage5–13-0.0212%16 Sept →
mirage13–110.0114%16 Sept →
anubis13–10.0714%15 Sept →
nuke13–70.0415%14 Sept →
mirage13–60.1116%14 Sept →
dust29–130.0218%14 Sept →
ancient10–130.0317%13 Sept →
nuke14–160.0129%7 Sept →
anubis2–13-0.0219%7 Sept →
ancient10–13-0.0416%6 Sept →
ancient13–6-0.0319%6 Sept →
anubis9–13-0.0021%4 Sept →
dust213–90.0030%1 Sept →
dust216–140.0419%1 Sept →
anubis6–13-0.0322%29 Aug →
mirage13–8-0.0417%29 Aug →
train13–9-0.0121%29 Aug →
dust210–130.0130%28 Aug →
ancient7–13-0.0410%26 Aug →
dust213–60.0223%24 Aug →
nuke22–20-0.0718%24 Aug →
anubis13–6-0.0616%21 Aug →
inferno13–80.0234%21 Aug →
inferno12–120.0122%20 Aug →
inferno11–130.0622%20 Aug →
ancient4–13-0.0516%20 Aug →
dust214–16-0.0115%19 Aug →
cache13–50.0623%15 Aug →
dust213–60.0721%12 Aug →
ancient10–13-0.059%11 Aug →
ancient8–13-0.0124%11 Aug →
mirage16–120.0221%10 Aug →
ancient13–11-0.0614%9 Aug →
inferno15–15-0.0118%9 Aug →
nuke5–13-0.084%9 Aug →
ancient13–10-0.0125%8 Aug →
inferno13–70.0520%8 Aug →
inferno5–130.0224%1 Aug →
anubis15–15-0.0515%31 Jul →
anubis9–130.0114%30 Jul →
mirage6–13-0.0516%29 Jul →
dust24–13-0.0116%28 Jul →
inferno13–90.0422%28 Jul →
dust216–130.0413%28 Jul →
dust213–50.0624%28 Jul →
nuke13–90.0617%27 Jul →
dust213–110.0530%27 Jul →
dust210–13-0.0125%27 Jul →
nuke5–13-0.0316%27 Jul →
dust27–130.0819%27 Jul →
inferno11–130.0312%26 Jul →
mirage13–9-0.0214%26 Jul →
anubis13–110.0012%26 Jul →
dust211–13-0.0824%22 Jul →
dust213–8-0.0521%21 Jul →
dust213–50.0420%20 Jul →
mirage14–16-0.0320%20 Jul →
ancient8–130.0217%19 Jul →
dust213–70.1018%19 Jul →
cache20–22-0.0322%17 Jul →
anubis7–13-0.0320%16 Jul →
nuke13–70.1021%16 Jul →
inferno13–11-0.0216%16 Jul →
dust213–10-0.0117%16 Jul →
anubis13–90.0518%13 Jul →
ancient13–11-0.0116%13 Jul →
dust23–130.1645%11 Jul →
dust216–120.0215%11 Jul →
mirage13–8-0.0519%11 Jul →
ancient10–130.0420%11 Jul →
mirage13–80.0023%11 Jul →
mirage11–130.0030%10 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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