800x400

800x400 — CS2 Stats

76561198257068343[U:1:296802615]Steam profile ↗

3,038Tracked matches31%Win rate2021Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
CSDB Leaderboard#26251 of 28727 tracked
FaceitLevel 10 · 2,004 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

2,004Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 2,004
  • Next: 2,500 ELO at 2,500 496 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GG800x400FACEITLevel 10 · 2,004 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,004csdb.gg/stats

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Performance scores

Aim79
Positioning42
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY45532Last 10045%Win rateLWWLLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.9
Aggression4.0
Utility3.5
Positioning4.2
Opening Duels0.7
Clutch3.8

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

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

Aim7.9
Positioning4.2
Utility3.5
Mechanics7.1
Opening Duels0.7
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time545ms+28ms
first ⅓ avg 518ms → last ⅓ avg 545ms
Headshot accuracy16.8%+0.8%
first ⅓ avg 16.0% → last ⅓ avg 16.8%

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.

Highlights

0.16Best rating — inferno 13–7
131Biggest win — anubis
7Longest win streak
76In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 57% over 23dust2Weakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%0.01
dust2D2271532%-0.03
ancientC2081240%-0.02
infernoC94544%-0.00
cacheA95456%-0.00
nukeC94544%-0.02
anubisB63350%-0.01
italy1010%0.04
office110100%0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

659Matches
53%Win rate
1.05Avg K/D
79.9ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage17847%0.9815.5
Dust210354%0.9515.6
Ancient8254%1.0715.7
Anubis6453%1.0616.1
Inferno4949%0.9514.3
Nuke4461%1.0016.5
Vertigo2654%1.1417.4
Cache2162%1.1718.2

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.

16.3%Headshot accuracy
39.0%Accuracy (enemy spotted)
46.4%Spray accuracy
82.0%Counter-strafing
11.7°Preaim
549msReaction time
29.7%T opening success
35.9%CT opening success
0.42Enemies flashed / flash
5.8%Flash assists
7.74HE damage / grenade
1.83Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4235 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.6672% — below the 40% mark we flag

Spend your practice time on Dust 2

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
italy9–130.0420%29 Aug
mirage13–30.0214%29 Aug
inferno13–7-0.0016%28 Aug
ancient2–7-0.0312%27 Aug
inferno5–9-0.0511%27 Aug
cache13–90.0225%26 Aug
mirage13–100.0120%24 Aug
dust24–13-0.0310%19 Aug
ancient9–130.0515%18 Aug
mirage7–13-0.0215%16 Aug
dust24–130.0123%16 Aug
cache16–13-0.0112%15 Aug
anubis7–13-0.0416%14 Aug
anubis13–10.0917%14 Aug
dust26–13-0.0624%14 Aug
dust213–9-0.0124%13 Aug
anubis12–16-0.0620%13 Aug
ancient6–13-0.0219%13 Aug
inferno7–13-0.0117%12 Aug
dust28–13-0.0426%6 Aug
mirage7–130.0216%29 Jul
mirage15–150.049%29 Jul
ancient13–11-0.079%29 Jul
nuke10–13-0.0913%27 Jul
ancient10–130.0124%26 Jul
nuke5–13-0.0117%26 Jul
ancient8–13-0.0515%26 Jul
cache14–16-0.112%26 Jul
dust213–10-0.0415%25 Jul
cache7–130.0417%24 Jul
dust25–13-0.0517%23 Jul
ancient2–13-0.0716%23 Jul
mirage13–70.0930%22 Jul
mirage13–6-0.0511%21 Jul
nuke12–160.0421%21 Jul
mirage9–130.0417%20 Jul
cache13–2-0.0113%20 Jul
anubis13–4-0.0129%18 Jul
ancient13–20.0121%17 Jul
mirage7–13-0.0320%17 Jul
cache15–150.0113%17 Jul
mirage13–6-0.0114%15 Jul
dust213–110.0218%15 Jul
dust213–9-0.0420%15 Jul
mirage16–140.0321%13 Jul
dust29–13-0.0411%9 Jul
ancient13–11-0.0315%6 Jul
mirage13–90.0118%4 Jul
cache13–30.0220%1 Jul
inferno13–70.1620%1 Jul
ancient14–16-0.0218%30 Jun
dust25–13-0.0220%28 Jun
mirage1–13-0.0827%28 Jun
mirage10–13-0.0419%28 Jun
office13–60.1219%27 Jun
nuke3–130.0116%27 Jun
mirage3–13-0.0816%26 Jun
dust213–110.0119%25 Jun
ancient13–60.0424%23 Jun
ancient13–90.0115%20 Jun
mirage16–130.0522%17 Jun
cache13–100.0224%17 Jun
dust213–9-0.0122%13 Jun
dust213–80.0532%13 Jun
anubis8–13-0.0323%12 Jun
mirage7–130.0121%9 Jun
mirage13–10-0.0226%9 Jun
nuke13–8-0.0511%9 Jun
nuke13–90.0123%8 Jun
inferno13–10-0.1010%8 Jun
inferno8–13-0.063%7 Jun
dust211–130.0117%7 Jun
nuke11–4-0.0226%7 Jun
inferno1–3-0.0020%7 Jun
ancient13–160.0118%5 Jun
ancient14–16-0.0211%2 Jun
mirage13–40.1324%2 Jun
mirage22–190.0920%2 Jun
dust212–16-0.0420%28 May
ancient16–14-0.0314%25 May
nuke3–13-0.0815%25 May
ancient6–13-0.0212%23 May
dust28–13-0.045%23 May
cache11–13-0.0020%23 May
nuke13–7-0.0034%22 May
dust20–5-0.150%22 May
ancient6–13-0.0724%22 May
inferno13–110.0314%22 May
dust26–13-0.0136%21 May
mirage7–13-0.0115%21 May
ancient1–5-0.080%21 May
ancient13–80.0516%21 May
dust27–13-0.0718%20 May
inferno13–16-0.0218%20 May
dust25–13-0.0015%19 May
mirage13–60.0419%19 May
mirage13–90.0112%17 May
anubis13–8-0.0311%17 May
ancient13–70.0126%17 May
dust21–8-0.220%17 May

Match data via Leetify.

Milestones

Faceit Level 102K ELO1,000 Matches
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