๖ۣۜ𝕯𝖔𝖘𝖊

๖ۣۜ𝕯𝖔𝖘𝖊 — CS2 Stats

DE76561198010594624[U:1:50328896]Steam profile ↗✓ No bans

2,019Tracked matches39%Win rate2023Tracked since
4,305Hours in CS13Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,829 -1,192 20 Jun – 3 Jul · 8 days played
5,8297,517peak 7,51720 Jun3 Jul
7,698Peak Premier in tracked matches
31Days played since 2026-06-18

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches41——
Win rate22%——
K/D1.05——
Headshot %37%——

Measured 7 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim71
Positioning45
Utility42

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLTLLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −4.4pp headshot accuracy · −92ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 533ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 563ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

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 against its own average).

Aim7.1
Utility4.2
Positioning4.5
Opening Duels2.6
Clutch2.6

Strong CT-side openerLimited 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.

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 98% playstyle similarity

Most alike: opening-duel success, aim profile.

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

T-side openings. Opening success drops from 55% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim7.1
Positioning4.5
Utility4.2
Mechanics5.7
Opening Duels3.1
Win Impact1.4

Composite 5.0/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time615ms−2ms
first ⅓ avg 617ms → last ⅓ avg 615ms
Headshot accuracy15.4%+1.8%
first ⅓ avg 13.7% → last ⅓ avg 15.4%

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

0.23Best match rating · 13–10 · alpine, 2 Jul →
37%Best headshot accuracy · 13–1 · dust2, 21 Jun →
438msFastest reaction time · 12–12 · ancient, 27 Sept →
13–0Biggest win · alpine, 2 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

alpineBest map · 73% over 30officeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
alpineS3022–873%0.06
italyB115–645%-0.01
dust2D113–827%0.03
officeD71–614%-0.04
ancientD61–517%-0.02
nukeC52–340%0.02
cacheC52–340%0.02
infernoD51–420%-0.00
anubis—41–325%-0.06
shelter—33–0100%0.01
boulder—30–30%0.01
overpass—20–20%0.03
mirage—21–150%0.01
vertigo—20–20%-0.03
fachwerk—22–0100%0.05
train—10–10%0.05
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Lifetime stats

93,164Lifetime kills
1.09K/D · Top 50% of tracked players
9,835Matches
66.2%Match win rate · Top 5% of tracked players
45.0%Headshot % · Top 50% of tracked players
6.8%Shot accuracy
13,213MVPs
1,623Hours (in match)
3,302Bombs planted
701Bombs defused

Most-used weapons

AK-4720,624
AWP7,841
FAMAS5,482
MP72,260
MP91,997
MAC-101,983

Lifetime map wins

6,535nuke
4,412dust2
4,175inferno
3,663office
1,616italy
1,400train
997vertigo
100aztec

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

Faceit stats

Combat

35Matches
57%Win rate
0.65Avg K/D
67.0ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
9%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2757%0.8214.7
Nuke4100%0.9017.0
Cache250%1.1513.5
Inferno1100%0.6714.0

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.

15.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.1%Spray accuracy
75.6%Counter-strafing
7.2°Preaim
603msReaction time
29.4%T opening success
55.2%CT opening success
0.47Enemies flashed / flash
5.1%Flash assists
8.39HE damage / grenade
4.44Flashes / 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 0.472 — 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 29.4156% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
train8–130.0518%27 Sept →
ancient12–12-0.0710%27 Sept →
anubis5–13-0.1314%27 Sept →
overpass11–130.0217%27 Sept →
mirage13–40.0216%27 Sept →
vertigo5–13-0.030%27 Sept →
anubis4–13-0.0815%27 Sept →
italy13–9-0.0012%26 Sept →
nuke13–11-0.049%25 Sept →
vertigo8–13-0.0228%25 Sept →
cache13–30.1119%24 Sept →
inferno13–60.0324%23 Sept →
dust211–13-0.0129%23 Sept →
shelter13–60.0322%23 Sept →
cache13–90.0311%27 Aug →
italy4–13-0.087%24 Aug →
ancient6–13-0.0416%22 Aug →
cache12–12-0.0419%22 Aug →
nuke10–13-0.0117%22 Aug →
mirage7–13-0.0118%22 Aug →
office8–13-0.0223%18 Aug →
office13–11-0.0217%18 Aug →
poseidon1–9-0.1215%1 Aug →
office6–13-0.0519%31 Jul →
dust25–13-0.0713%31 Jul →
ancient7–130.0420%31 Jul →
dust213–110.068%27 Jul →
dust211–130.0511%27 Jul →
cache10–130.016%27 Jul →
anubis13–5-0.0011%17 Jul →
nuke13–90.0221%17 Jul →
boulder10–130.0510%10 Jul →
boulder12–12-0.0115%10 Jul →
fachwerk13–6-0.019%9 Jul →
fachwerk13–20.1216%9 Jul →
boulder7–130.007%9 Jul →
shelter13–9-0.0211%9 Jul →
shelter13–20.0320%9 Jul →
office12–12-0.0422%7 Jul →
inferno8–8-0.106%5 Jul →
italy12–12-0.109%3 Jul →
italy13–30.1916%3 Jul →
italy13–10-0.0121%3 Jul →
overpass12–160.0314%3 Jul →
office3–13-0.0318%3 Jul →
alpine13–30.0116%2 Jul →
inferno9–13-0.0113%2 Jul →
alpine13–8-0.0121%2 Jul →
alpine13–6-0.0114%2 Jul →
alpine4–13-0.0617%2 Jul →
alpine13–100.2311%2 Jul →
alpine13–00.0117%2 Jul →
alpine10–13-0.038%1 Jul →
alpine13–110.0617%1 Jul →
alpine6–130.1916%1 Jul →
alpine13–60.1113%1 Jul →
alpine13–00.1318%30 Jun →
alpine6–13-0.0015%30 Jun →
alpine12–120.0020%30 Jun →
anubis9–13-0.0415%30 Jun →
inferno7–130.0828%29 Jun →
alpine13–00.126%29 Jun →
alpine13–50.139%28 Jun →
alpine13–20.1923%28 Jun →
alpine9–1-0.0115%28 Jun →
alpine6–130.0719%28 Jun →
alpine13–00.1013%28 Jun →
alpine13–40.0212%28 Jun →
alpine13–5-0.0016%28 Jun →
alpine13–60.0115%28 Jun →
alpine13–100.0519%28 Jun →
alpine13–90.126%28 Jun →
alpine13–100.1112%28 Jun →
alpine13–20.1310%28 Jun →
alpine2–13-0.0114%28 Jun →
dust211–13-0.0112%27 Jun →
dust25–13-0.0115%26 Jun →
cache5–130.0218%26 Jun →
ancient10–130.0619%26 Jun →
office11–13-0.057%24 Jun →
office7–13-0.0911%24 Jun →
dust213–20.1021%23 Jun →
dust28–130.0616%23 Jun →
italy12–12-0.0311%23 Jun →
italy13–40.0113%23 Jun →
italy13–70.0026%23 Jun →
italy7–130.0113%23 Jun →
dust29–130.0515%22 Jun →
alpine6–130.0012%22 Jun →
nuke11–130.117%21 Jun →
dust213–10.0837%21 Jun →
inferno15–15-0.0110%21 Jun →
alpine13–3-0.0123%21 Jun →
italy6–13-0.046%21 Jun →
italy8–13-0.024%21 Jun →
ancient10–13-0.076%21 Jun →
ancient13–9-0.0111%21 Jun →
nuke7–130.0018%20 Jun →
dust211–13-0.0214%20 Jun →
alpine13–20.094%18 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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