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󠁳 — CS2 Stats

76561198118719429[U:1:158453701]Steam profile ↗✓ No bans

923Tracked matches50%Win rate2020Tracked since
CSDB Rating7.5 StrongSupport
Premier CS Rating23,297Top 25% of 203,724 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#38564 of 250924 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (2 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: 23,297 +203 14 May – 6 Oct · 18 days played
20,55923,546peak 23,54614 May6 Oct
23,546Peak Premier in tracked matches
28Days played since 2026-05-14

Premier CS Rating

  • 249 below peak (23,546)
  • +1,371 over 30 days · improving
  • Next: Red band at 25,000 — 1,703 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-26
  • Purple band first seen 2026-09-26

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

Share this profile

CSDB.GG󠁳FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,297 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning69
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWWWWWLWLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · +45ms reaction

Win rate 0pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 595ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 547ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 524ms

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 (+1.9 against its own average).

Aim8.4
Utility7.1
Positioning6.9
Opening Duels4.4
Clutch2.4

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, positioning 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

T openings. 62% 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

Aim8.4
Positioning6.9
Utility7.1
Mechanics8.0
Opening Duels7.1
Win Impact5.0

Composite 7.5/10 (Strong), 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 time535ms−23ms
first ⅓ avg 558ms → last ⅓ avg 535ms
Headshot accuracy20.7%−2.4%
first ⅓ avg 23.1% → last ⅓ avg 20.7%

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

0.13Best match rating · 13–3 · dust2, 30 Aug →
44%Best headshot accuracy · 12–3 · cache, 6 Oct →
383msFastest reaction time · 5–13 · dust2, 15 May →
13–1Biggest win · dust2, 1 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W5Current streak
10–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 79% over 14infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%0.02
dust2B2111–1052%0.02
anubisC188–1044%0.01
cacheS1411–379%0.02
ancientA85–363%0.01
infernoD50–50%-0.01
nukeD50–50%0.01
train—21–150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

968Matches
52%Win rate
1.17Avg K/D
77.5ADR
46%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1540%1.0214.6
Mirage1471%1.6016.9
Inferno922%1.0416.1
Dust2743%1.0913.4
Anubis617%0.8217.8
Nuke30%0.7512.7
Cache250%2.3219.0

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.

19.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
37.4%Spray accuracy
86.1%Counter-strafing
9.1°Preaim
525msReaction time
62.0%T opening success
54.5%CT opening success
0.67Enemies flashed / flash
11.1%Flash assists
10.71HE damage / grenade
11.50Flashes / match

Recommended for you

Spend your practice time on Inferno

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–30.0744%6 Oct →
ancient13–11-0.0027%6 Oct →
mirage13–120.0318%6 Oct →
cache13–50.0830%29 Sept →
dust213–10-0.0217%29 Sept →
inferno8–130.0327%29 Sept →
anubis13–9-0.0523%29 Sept →
mirage3–13-0.0527%29 Sept →
inferno5–13-0.125%29 Sept →
inferno10–130.0011%29 Sept →
mirage7–130.0219%29 Sept →
mirage12–16-0.0218%29 Sept →
ancient4–13-0.0631%29 Sept →
mirage3–10.0120%29 Sept →
anubis13–50.0627%24 Sept →
dust213–60.0210%24 Sept →
mirage13–110.0325%24 Sept →
ancient11–130.0223%24 Sept →
anubis13–30.0220%23 Sept →
anubis13–20.0710%23 Sept →
anubis13–90.1221%23 Sept →
ancient13–40.0315%23 Sept →
mirage7–13-0.0025%21 Sept →
cache12–160.0624%21 Sept →
nuke9–13-0.018%21 Sept →
mirage5–13-0.1113%21 Sept →
dust25–13-0.0614%21 Sept →
anubis13–11-0.0119%18 Sept →
anubis8–13-0.0719%18 Sept →
anubis8–13-0.0210%18 Sept →
mirage13–110.0931%17 Sept →
dust213–90.0443%9 Sept →
anubis11–130.0011%9 Sept →
dust26–13-0.093%2 Sept →
dust213–9-0.0122%1 Sept →
anubis13–40.0521%1 Sept →
dust213–10.1315%1 Sept →
mirage13–100.0421%1 Sept →
anubis4–130.0138%1 Sept →
mirage7–130.0227%1 Sept →
ancient13–50.0119%1 Sept →
anubis14–160.0621%1 Sept →
dust21–13-0.108%1 Sept →
mirage13–10-0.0020%30 Aug →
dust213–30.1329%30 Aug →
cache16–13-0.0217%29 Aug →
nuke9–130.048%29 Aug →
cache13–20.0314%29 Aug →
dust213–90.0930%27 Aug →
mirage12–160.0516%27 Aug →
mirage13–60.0723%27 Aug →
nuke7–130.0017%27 Aug →
cache13–8-0.0226%27 Aug →
mirage8–130.0018%27 Aug →
dust25–13-0.0732%27 Aug →
cache13–40.0517%27 Aug →
mirage13–110.039%26 Aug →
nuke5–13-0.0020%26 Aug →
dust29–130.0127%26 Aug →
mirage3–13-0.0127%26 Aug →
cache13–90.0313%26 Aug →
cache5–13-0.0815%26 Aug →
dust213–110.0915%18 Aug →
mirage13–8-0.0128%18 Aug →
ancient13–70.0521%18 Aug →
mirage10–130.0921%18 Aug →
mirage8–130.0419%12 Aug →
train13–60.0317%12 Aug →
train8–13-0.0123%12 Aug →
dust25–13-0.0229%7 Aug →
mirage13–70.0118%4 Aug →
mirage13–40.1319%4 Aug →
dust23–80.0425%4 Aug →
ancient5–13-0.0318%13 Jul →
dust213–40.017%13 Jul →
dust21–40.0518%8 Jul →
anubis5–13-0.0528%8 Jul →
inferno7–13-0.0230%6 Jul →
cache12–12-0.0221%6 Jul →
cache13–11-0.0425%6 Jul →
inferno11–130.0817%24 Jun →
anubis2–13-0.0728%24 Jun →
anubis6–13-0.0533%24 Jun →
nuke10–130.0120%4 Jun →
mirage7–13-0.0128%4 Jun →
mirage13–20.0927%3 Jun →
anubis13–50.0622%27 May →
cache13–70.0814%20 May →
cache13–80.0335%20 May →
cache13–11-0.0228%20 May →
dust213–100.0922%20 May →
dust213–20.0930%20 May →
ancient13–50.0316%15 May →
dust25–13-0.0121%15 May →
anubis6–130.0121%15 May →
anubis5–13-0.0329%15 May →
mirage13–50.0429%14 May →
dust24–13-0.0427%14 May →
mirage6–13-0.0326%14 May →
mirage5–13-0.128%14 May →

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 →

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