Nah

Nah — CS2 Stats

76561198075006842[U:1:114741114]Steam profile ↗✓ No bans

4,777Tracked matches62%Win rate2020Tracked since
6,139Hours in CS
CSDB Rating8.2 StrongPositional Player
Premier CS Rating26,457Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#10124 of 259067 tracked
FaceitLevel 10 · 2,079 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 26,457 -494 1 Sept – 30 Oct · 15 days played
25,49027,054peak 27,0541 Sept30 Oct
Faceit ELO: 2,079 +0 2 Sept – 19 Oct · 4 observations
2,0792,079peak 2,0792 Sept19 Oct
27,054Peak Premier in tracked matches
2,079Highest Faceit ELO seen on CSDB
34Days played since 2026-08-31

Faceit ELO

  • At peak — 2,079
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 421 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier CS Rating

  • 597 below peak (27,054)
  • +408 over 30 days · improving
  • Next: Gold band at 30,000 — 3,543 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-02
  • Pink band first seen 2026-09-02

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate51.2%50.9%
Shot accuracy11.9%13.7%
Kill/death ratio1.281.09
Match win rate54.7%48.4%

Share this profile

CSDB.GGNahFACEITLevel 10 · 2,079 ELOSTANDINGTop 12.4% of rankedPREMIER26,457 · Red band30 DAYS0 ELOPEAK ELO2,079csdb.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

Aim90
Positioning67
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateWLLWWTWTWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · −35ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 494ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 546ms

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).

Aim9.0
Utility5.2
Positioning6.7
Opening Duels4.5
Clutch3.2

Sharp aimerExcellent counter-strafing

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 94% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 70% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim9.0
Positioning6.7
Utility5.2
Mechanics9.1
Opening Duels7.1
Win Impact8.8

Composite 8.2/10 (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 rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time542ms+25ms
first ⅓ avg 517ms → last ⅓ avg 542ms
Headshot accuracy20.2%−0.5%
first ⅓ avg 20.7% → last ⅓ avg 20.2%

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

0.17Best match rating · 13–10 · dust2, 8 Oct →
52%Best headshot accuracy · 13–2 · mirage, 28 Sept →
359msFastest reaction time · 2–13 · italy, 1 Sept →
13–1Biggest win · inferno, 26 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 71% over 7cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.02
dust2C167–944%0.02
nukeA127–558%0.02
anubisD93–633%0.03
infernoB84–450%0.02
ancientA74–357%0.01
cacheD72–529%0.03
vertigoS75–271%0.00
trainA53–260%0.08
office—43–175%0.03
shelter—10–10%-0.00
boulder—11–0100%-0.01
italy—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

343,090Lifetime kills
1.28K/D · Top 25% of Level 10 players
17,361Matches
54.7%Match win rate · Top 10% of Level 10 players
51.2%Headshot % · Top 50% of Level 10 players
11.9%Shot accuracy
36,696MVPs
6,139Hours (in match)
9,694Bombs planted
4,169Bombs defused

Most-used weapons

AK-47146,913
AWP32,239
SSG 0811,430
MP95,570
FAMAS4,930

Lifetime map wins

18,272dust2
17,780inferno
13,309vertigo
13,202office
11,074nuke
3,377italy
2,933train
2,035cbble

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

Faceit stats

Combat

1,116Matches
50%Win rate
1.02Avg K/D
77.3ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12045%1.0115.2
Anubis8551%1.0014.7
Ancient8556%1.0215.9
Inferno5443%0.9615.2
Vertigo4858%1.1417.4
Dust24443%1.0015.8
Nuke3152%1.1817.4
Cache757%0.9715.3

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.

19.6%Headshot accuracy
40.6%Accuracy (enemy spotted)
43.7%Spray accuracy
91.1%Counter-strafing
9.7°Preaim
547msReaction time
69.6%T opening success
47.3%CT opening success
0.64Enemies flashed / flash
8.0%Flash assists
4.81HE damage / grenade
8.15Flashes / match

Recommended for you

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0218%30 Oct →
mirage1–130.0314%30 Oct →
anubis10–13-0.0121%30 Oct →
mirage13–30.0720%30 Oct →
dust213–90.0428%30 Oct →
nuke15–150.0219%27 Oct →
mirage13–9-0.0333%26 Oct →
dust212–120.0112%26 Oct →
inferno13–10.0924%26 Oct →
dust210–130.0228%26 Oct →
office13–90.0116%25 Oct →
nuke10–13-0.0916%25 Oct →
cache5–130.0115%25 Oct →
cache11–130.037%23 Oct →
dust213–40.0725%23 Oct →
nuke7–30.1525%19 Oct →
mirage8–130.0814%19 Oct →
inferno4–130.0024%19 Oct →
dust23–13-0.0936%18 Oct →
mirage13–50.0218%18 Oct →
mirage12–120.0218%15 Oct →
cache13–7-0.0213%14 Oct →
nuke12–120.0314%14 Oct →
office13–100.0720%12 Oct →
nuke16–14-0.0117%12 Oct →
ancient13–20.0920%12 Oct →
mirage13–100.0125%10 Oct →
mirage9–13-0.0410%10 Oct →
mirage13–50.0122%9 Oct →
train13–70.1529%9 Oct →
dust211–13-0.0126%8 Oct →
mirage3–13-0.0723%8 Oct →
train13–10.1119%8 Oct →
dust213–100.1727%8 Oct →
train11–20.0718%8 Oct →
mirage8–13-0.0312%7 Oct →
shelter9–13-0.0018%7 Oct →
inferno13–40.1121%6 Oct →
dust212–12-0.0124%6 Oct →
dust21–30.0036%5 Oct →
inferno13–90.0414%5 Oct →
vertigo13–3-0.0410%5 Oct →
dust213–70.0524%5 Oct →
train12–120.0721%4 Oct →
mirage13–30.0625%4 Oct →
dust213–9-0.0119%4 Oct →
anubis13–70.0928%4 Oct →
inferno13–40.0116%1 Oct →
nuke13–110.1124%30 Sept →
mirage13–20.1752%28 Sept →
anubis13–70.0814%28 Sept →
nuke13–9-0.0127%28 Sept →
ancient6–13-0.0229%26 Sept →
nuke10–130.0320%25 Sept →
anubis10–13-0.0034%25 Sept →
vertigo13–9-0.0927%25 Sept →
mirage12–120.0920%24 Sept →
nuke8–130.0419%24 Sept →
boulder13–10-0.0128%24 Sept →
office13–110.0119%24 Sept →
mirage1–10-0.0533%24 Sept →
anubis6–130.0323%24 Sept →
cache13–110.0612%23 Sept →
inferno15–15-0.0515%23 Sept →
dust212–120.0223%21 Sept →
vertigo5–130.0516%21 Sept →
nuke13–9-0.0712%20 Sept →
mirage13–40.1313%19 Sept →
mirage13–90.0226%15 Sept →
vertigo13–10-0.0325%10 Sept →
anubis7–130.000%10 Sept →
inferno1–13-0.080%10 Sept →
ancient13–100.0414%4 Sept →
ancient4–13-0.0520%4 Sept →
ancient13–6-0.0110%4 Sept →
mirage13–8-0.0516%4 Sept →
nuke13–9-0.0228%4 Sept →
mirage10–130.0135%4 Sept →
cache4–130.0018%3 Sept →
mirage10–130.0438%3 Sept →
dust28–20.0317%3 Sept →
dust213–100.0530%3 Sept →
dust28–130.0024%3 Sept →
mirage13–80.0420%2 Sept →
cache9–130.1122%2 Sept →
anubis10–130.0411%2 Sept →
vertigo13–40.0618%2 Sept →
train9–130.0217%2 Sept →
mirage9–13-0.0114%1 Sept →
inferno9–130.0423%1 Sept →
italy2–130.0222%1 Sept →
anubis11–130.0117%1 Sept →
office8–130.0134%1 Sept →
cache10–130.0528%1 Sept →
ancient4–13-0.0127%1 Sept →
dust211–130.0123%1 Sept →
anubis13–7-0.0021%1 Sept →
nuke10–10.0314%1 Sept →
vertigo12–12-0.0427%31 Aug →
vertigo13–50.1033%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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