Top Dawg Under Dawg NL

Top Dawg Under Dawg NL — CS2 Stats

NL76561198328933874[U:1:368668146]Steam profile ↗✓ No bans

3,820Tracked matches62%Win rate2022Tracked since
4,568Hours in CS
CSDB Rating7.7 StrongPositional Player
Premier CS Rating27,610Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#4262 of 261667 tracked
FaceitLevel 9 · 2,310 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (10 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: 27,610 +528 16 Apr – 5 Nov · 19 days played
24,62427,851peak 27,85116 Apr5 Nov
Faceit ELO: 2,310 +0 29 Aug – 24 Sept · 5 observations
2,3102,310peak 2,31029 Aug24 Sept
27,851Peak Premier in tracked matches
2,310Highest Faceit ELO seen on CSDB
60Days played since 2026-04-14

Faceit ELO

  • At peak — 2,310
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 190 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier CS Rating

  • 241 below peak (27,851)
  • +572 over 30 days · improving
  • Next: Gold band at 30,000 — 2,390 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate47.9%48.2%50.9%3.0% short
Shot accuracy0.8%13.2%13.7%12.9% short
Kill/death ratio0.901.071.090.19 short
Match win rate29.0%46.9%48.4%19.4% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTop Dawg Under Dawg NLFACEITLevel 9 · 2,310 ELOSTANDINGTop 20.7% of rankedPREMIER27,610 · Red band30 DAYS0 ELOPEAK ELO2,310csdb.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

Aim81
Positioning74
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWLWWWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −31ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 536ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 539ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

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 (+1.8 against its own average).

Aim8.1
Utility5.6
Positioning7.4
Opening Duels5.6
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

jL

Plays most like jL 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

T openings. 65% T opening-duel success — entries that actually open the round.

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

Aim8.1
Positioning7.4
Utility5.6
Mechanics6.1
Opening Duels7.5
Win Impact9.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time556ms−39ms
first ⅓ avg 595ms → last ⅓ avg 556ms
Headshot accuracy18.2%−1.4%
first ⅓ avg 19.7% → last ⅓ avg 18.2%

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

0.21Best match rating · 11–2 · inferno, 16 Jul →
70%Best headshot accuracy · 5–1 · nuke, 21 Aug →
375msFastest reaction time · 3–8 · ancient, 10 Jun →
13–0Biggest win · anubis, 7 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS1611–569%0.03
dust2B158–753%0.02
cacheB137–654%0.02
anubisA127–558%0.02
ancientC125–742%-0.01
mirageA106–460%0.03
nukeB105–550%0.01
vertigoB63–350%0.02
overpass—40–40%0.01
train—21–150%0.01

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

282,609Lifetime kills
0.90K/D
10,101Matches
29.0%Match win rate
47.9%Headshot %
0.8%Shot accuracy
16,675MVPs
4,568Hours (in match)
6,404Bombs planted
1,462Bombs defused

Most-used weapons

AK-47141,399
AWP20,325
MP96,504
MAC-103,330
SSG 083,184

Lifetime map wins

9,414inferno
6,670dust2
5,584nuke
2,383vertigo
2,277train
2,013office
1,539italy
31cbble

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

Faceit stats

Combat

1,350Matches
51%Win rate
1.12Avg K/D
84.3ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage31247%1.0715.7
Dust225250%1.0916.4
Anubis19457%1.2017.4
Ancient18849%1.0516.2
Inferno16649%1.1316.6
Nuke10857%1.2617.4
Overpass4751%1.1116.7
Vertigo3459%1.1014.5

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.

17.3%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.1%Spray accuracy
77.3%Counter-strafing
8.3°Preaim
545msReaction time
65.2%T opening success
54.5%CT opening success
0.53Enemies flashed / flash
5.4%Flash assists
10.83HE damage / grenade
8.76Flashes / match

Recommended for you

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
dust213–10-0.0323%14 Nov →
anubis17–190.0113%10 Nov →
inferno13–110.0014%9 Nov →
dust213–10.1313%9 Nov →
cache13–110.0215%5 Nov →
anubis13–30.0729%31 Oct →
anubis11–130.0613%27 Oct →
mirage11–130.028%19 Oct →
anubis6–130.0027%16 Oct →
inferno10–13-0.0017%16 Oct →
nuke13–90.0315%15 Oct →
dust213–100.0513%14 Oct →
inferno13–30.1028%11 Oct →
inferno13–90.0416%11 Oct →
mirage13–30.0827%7 Oct →
cache14–160.009%7 Oct →
cache9–13-0.0217%5 Oct →
cache8–130.0818%2 Oct →
anubis19–15-0.006%2 Oct →
nuke3–13-0.0316%28 Sept →
vertigo13–11-0.0125%26 Sept →
mirage11–130.0720%23 Sept →
inferno12–12-0.0416%22 Sept →
cache13–60.0221%21 Sept →
nuke13–100.0318%21 Sept →
inferno13–50.0624%21 Sept →
nuke13–60.0321%21 Sept →
mirage13–9-0.0123%21 Sept →
dust210–130.0014%17 Sept →
mirage13–70.0026%15 Sept →
ancient7–130.0329%14 Sept →
anubis13–20.0418%14 Sept →
cache12–120.0114%14 Sept →
dust29–13-0.0013%7 Sept →
anubis13–20.0611%6 Sept →
ancient16–14-0.047%27 Aug →
inferno13–30.0416%27 Aug →
nuke1–13-0.0327%26 Aug →
vertigo9–130.0720%26 Aug →
ancient13–10-0.0218%26 Aug →
nuke5–10.1270%21 Aug →
anubis5–130.0223%19 Aug →
train13–7-0.0112%18 Aug →
anubis13–9-0.0010%17 Aug →
dust213–90.1117%14 Aug →
cache13–9-0.0621%14 Aug →
nuke13–7-0.0323%13 Aug →
anubis8–1-0.0515%12 Aug →
cache13–30.0120%12 Aug →
inferno13–40.0613%7 Aug →
ancient13–50.0214%7 Aug →
dust22–9-0.1227%6 Aug →
ancient13–110.0127%6 Aug →
ancient6–13-0.0319%3 Aug →
inferno10–130.0816%3 Aug →
inferno11–20.2124%16 Jul →
inferno13–10-0.028%16 Jul →
mirage13–20.0527%15 Jul →
anubis13–16-0.039%2 Jul →
ancient2–10.0120%1 Jul →
cache6–130.0720%24 Jun →
inferno5–13-0.1021%24 Jun →
mirage16–120.0619%22 Jun →
overpass10–130.0715%22 Jun →
inferno13–80.0617%12 Jun →
ancient3–8-0.0310%10 Jun →
mirage5–13-0.0229%10 Jun →
ancient11–13-0.0120%10 Jun →
anubis13–00.1123%7 Jun →
inferno13–110.0215%7 Jun →
vertigo13–80.0526%5 Jun →
cache10–30.1016%5 Jun →
vertigo6–13-0.0529%4 Jun →
nuke0–2-0.010%27 May →
cache13–100.0214%27 May →
overpass9–13-0.048%25 May →
overpass15–150.0622%18 May →
nuke9–13-0.0227%18 May →
nuke10–13-0.0110%13 May →
cache13–60.0226%13 May →
dust216–130.1222%13 May →
mirage7–13-0.0020%12 May →
vertigo13–50.0620%12 May →
train5–130.0440%12 May →
cache5–130.0518%12 May →
inferno13–6-0.0617%11 May →
overpass6–13-0.069%5 May →
ancient13–160.0117%5 May →
dust213–4-0.0318%24 Apr →
dust27–130.0321%23 Apr →
ancient12–120.0213%21 Apr →
inferno9–13-0.0229%20 Apr →
dust29–130.0224%16 Apr →
mirage13–70.0813%16 Apr →
dust28–13-0.0321%16 Apr →
dust213–6-0.0218%16 Apr →
dust26–130.0216%16 Apr →
ancient7–13-0.0324%16 Apr →
dust213–100.0231%14 Apr →
vertigo8–130.0123%14 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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