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UZ76561198122106949[U:1:161841221]Steam profile ↗✓ No bans

671Tracked matches47%Win rate2025Tracked since
CSDB Rating4.6 DevelopingSupport
Premier CS Rating16,457Purple band · top ~22.6% of ranked players (population est.)
FaceitLevel 6 · 895 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 671 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,457 +3,836 19 Dec – 23 Oct · 20 days played
12,62116,746peak 16,74619 Dec23 Oct
Faceit ELO: 895 +0 2 Sept – 23 Oct · 6 observations
895895peak 8952 Sept23 Oct
17,457Peak Premier in tracked matches
895Highest Faceit ELO seen on CSDB
54Days played since 2025-12-19

Faceit ELO

  • At peak — 895
  • 0 over 30 days · steady
  • Next: Level 4 at 901 — 6 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-02
  • Level 2 first seen 2026-09-02

Premier CS Rating

  • 289 below peak (16,746)
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 3,543 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue 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.

Share this profile

CSDB.GGWikiFACEITLevel 6 · 895 ELOSTANDINGTop 54.0% of rankedPREMIER16,457 · Purple band30 DAYS0 ELOPEAK ELO895csdb.gg/stats

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Performance scores

Aim57
Positioning37
Utility66

0–100 skill scores via Leetify.

Recent form

HOT49–50–1Last 10049%Win rateWLWWWWWLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −1.0pp headshot accuracy · −84ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 456ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 481ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • 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 (+3 against its own average).

Aim5.7
Utility6.6
Positioning3.7
Opening Duels0.0
Clutch4.0

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

NiKo

Plays most like NiKo 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

T-side openings. Opening success drops from 33% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 551ms 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

Aim5.7
Positioning3.7
Utility6.6
Mechanics4.7
Opening Duels0.4
Win Impact3.9

Composite 4.6/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time553ms−65ms
first ⅓ avg 618ms → last ⅓ avg 553ms
Headshot accuracy14.1%+2.0%
first ⅓ avg 12.0% → last ⅓ avg 14.1%

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

0.12Best match rating · 13–9 · mirage, 31 May →
31%Best headshot accuracy · 13–1 · mirage, 22 Jan →
391msFastest reaction time · 16–14 · inferno, 28 Aug →
13–1Biggest win · mirage, 22 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 71% over 14dust2Weakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.00
dust2D227–1532%-0.03
ancientS1410–471%0.02
nukeA116–555%0.01
cacheB84–450%-0.02
infernoC73–443%0.00
anubisD62–433%-0.00
overpass—43–175%0.02
train—21–150%0.02

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

525Matches
50%Win rate
1.01Avg K/D
72.9ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12947%0.9913.5
Dust211346%0.9213.6
Inferno7049%1.0515.5
Ancient6250%1.0615.5
Nuke5753%1.1615.7
Cache4347%1.0014.0
Anubis3158%1.0013.9
Train1070%0.9713.9

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.

14.2%Headshot accuracy
35.8%Accuracy (enemy spotted)
41.0%Spray accuracy
71.1%Counter-strafing
12.8°Preaim
551msReaction time
17.3%T opening success
33.0%CT opening success
0.66Enemies flashed / flash
6.9%Flash assists
6.97HE damage / grenade
20.61Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8025° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1848% — below the 15% mark we flag

    Aim Training →
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 & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0626%30 Aug →
inferno14–160.0912%30 Aug →
ancient13–110.088%29 Aug →
mirage13–70.014%29 Aug →
ancient19–160.0213%29 Aug →
cache13–80.0115%28 Aug →
inferno16–14-0.0318%28 Aug →
anubis6–130.0011%28 Aug →
nuke13–30.0914%25 Aug →
anubis5–13-0.059%23 Aug →
mirage6–13-0.0324%22 Aug →
inferno10–13-0.0613%17 Aug →
ancient9–13-0.0513%16 Aug →
cache12–16-0.0711%15 Aug →
mirage13–8-0.0314%9 Aug →
ancient13–40.010%8 Aug →
dust29–13-0.0016%8 Aug →
dust213–30.0013%1 Aug →
ancient13–90.0619%31 Jul →
mirage6–13-0.0318%31 Jul →
cache13–80.0410%30 Jul →
nuke13–50.0312%25 Jul →
dust212–16-0.0423%25 Jul →
anubis9–13-0.067%13 Jun →
dust211–130.0315%9 Jun →
cache9–13-0.0314%7 Jun →
dust214–16-0.0216%6 Jun →
dust25–13-0.0623%6 Jun →
mirage9–13-0.0214%6 Jun →
dust213–7-0.0120%6 Jun →
mirage13–6-0.047%2 Jun →
inferno13–16-0.0217%2 Jun →
mirage13–90.1218%31 May →
cache16–14-0.049%29 May →
inferno13–60.0115%28 May →
mirage7–13-0.019%28 May →
anubis16–140.0217%28 May →
mirage12–160.0610%27 May →
ancient5–13-0.0212%26 May →
dust211–13-0.0612%25 May →
mirage6–13-0.073%25 May →
ancient25–220.029%9 May →
cache11–130.0110%2 May →
cache8–13-0.0521%29 Apr →
dust214–160.0118%10 Feb →
ancient0–40.000%1 Feb →
ancient13–80.088%1 Feb →
dust213–110.0024%1 Feb →
dust211–13-0.0413%28 Jan →
mirage13–5-0.0012%25 Jan →
inferno8–13-0.0729%25 Jan →
mirage7–13-0.0514%25 Jan →
nuke6–13-0.0311%25 Jan →
nuke13–30.1111%25 Jan →
ancient13–10-0.017%25 Jan →
dust25–13-0.0815%24 Jan →
nuke13–110.059%24 Jan →
nuke15–150.0217%23 Jan →
anubis13–70.0625%23 Jan →
mirage13–40.019%23 Jan →
overpass13–10-0.0317%22 Jan →
mirage1–13-0.0214%22 Jan →
overpass13–40.0516%22 Jan →
mirage13–70.006%22 Jan →
mirage13–10.0431%22 Jan →
anubis10–130.0214%22 Jan →
ancient3–130.0411%22 Jan →
dust25–13-0.0615%11 Jan →
mirage9–13-0.0512%11 Jan →
mirage11–10.016%10 Jan →
mirage10–13-0.038%10 Jan →
inferno13–50.0825%7 Jan →
mirage13–20.0413%7 Jan →
dust216–14-0.036%6 Jan →
mirage5–13-0.0214%6 Jan →
dust26–13-0.079%6 Jan →
nuke7–130.019%6 Jan →
dust213–4-0.0311%5 Jan →
mirage13–60.0520%2 Jan →
mirage11–130.0324%2 Jan →
nuke13–110.0713%1 Jan →
mirage14–16-0.047%31 Dec →
ancient13–5-0.0219%31 Dec →
dust213–90.0022%30 Dec →
dust25–13-0.0813%28 Dec →
nuke4–13-0.0814%27 Dec →
nuke13–10-0.067%26 Dec →
ancient13–100.0215%26 Dec →
train13–100.099%25 Dec →
dust211–13-0.055%23 Dec →
nuke11–13-0.0615%23 Dec →
dust21–5-0.100%22 Dec →
train8–13-0.054%21 Dec →
mirage16–13-0.018%21 Dec →
dust28–13-0.0312%21 Dec →
overpass13–80.0319%21 Dec →
mirage16–120.0615%20 Dec →
ancient13–8-0.0013%20 Dec →
dust213–80.015%20 Dec →
overpass6–130.029%19 Dec →

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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