sNYTARN

sNYTARN — CS2 Stats

NO76561197965638696[U:1:5372968]Steam profile ↗✓ No bans

2,716Tracked matches55%Win rate2020Tracked since
2,120Hours in CS
CSDB Rating5.2 DevelopingSupport
Premier CS Rating23,163Top 25% of 210,832 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#41358 of 257768 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (37 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: 23,163 +3,164 14 Jul – 20 Sept · 17 days played
19,48525,307peak 25,30714 Jul20 Sept
25,732Peak Premier in tracked matches
20Days played since 2026-07-09

Premier CS Rating

  • 2,144 below peak (25,307)
  • Next: Red band at 25,000 — 1,837 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.5%46.8%48.2%2.7% short
Shot accuracy8.9%13.0%13.2%4.3% short
Kill/death ratio1.191.061.07above
Match win rate42.5%46.3%46.9%4.5% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsNYTARNFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,163 · Pink bandcsdb.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

Aim63
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

COLD54–40–6Last 10054%Win rateWLLLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +9.3pp headshot accuracy · −72ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 34%
  • Avg reaction 463ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 27%
  • Avg reaction 480ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 516ms

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 (+2.6 against its own average).

Aim6.3
Utility5.8
Positioning4.7
Opening Duels0.6
Clutch1.8

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

Twistzz

Plays most like Twistzz 77% 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

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3
Positioning4.7
Utility5.8
Mechanics4.3
Opening Duels0.9
Win Impact6.7

Composite 5.2/10 (Developing), 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 rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time525ms−58ms
first ⅓ avg 583ms → last ⅓ avg 525ms
Headshot accuracy21.2%−2.6%
first ⅓ avg 23.8% → last ⅓ avg 21.2%

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

0.16Best match rating · 9–2 · vertigo, 1 Sept →
86%Best headshot accuracy · 2–13 · inferno, 20 Sept →
305msFastest reaction time · 2–13 · inferno, 20 Sept →
13–1Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 69% over 16mirageWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%-0.01
mirageC176–1135%-0.03
dust2S1611–569%0.00
cacheS139–469%-0.03
ancientB126–650%0.02
nukeA95–456%0.01
anubisC83–538%-0.02
vertigo—21–150%0.09
eldorado—11–0100%0.08
debris—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,090Lifetime kills
1.19K/D · Top 25% of Level 8 players
5,821Matches
42.5%Match win rate
45.5%Headshot %
8.9%Shot accuracy
12,958MVPs
2,120Hours (in match)
5,925Bombs planted
1,180Bombs defused

Most-used weapons

AK-4724,140
AWP23,876
MAC-105,817
P903,694
Molotov3,676
MP93,288

Lifetime map wins

10,212inferno
7,043dust2
4,900nuke
4,345vertigo
1,199train
688cbble
558office
134italy

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

Faceit stats

Combat

316Matches
53%Win rate
1.17Avg K/D
79.6ADR
45%Headshot %

Clutches & streaks

29%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3853%1.1115.7
Mirage3834%1.2512.7
Dust23253%1.0714.7
Ancient2864%1.0214.3
Nuke2854%1.1116.4
Anubis2446%0.9512.6
Cache2080%1.2416.6
Vertigo367%0.8413.3

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.

21.8%Headshot accuracy
29.5%Accuracy (enemy spotted)
35.9%Spray accuracy
69.3%Counter-strafing
10.4°Preaim
520msReaction time
36.2%T opening success
31.1%CT opening success
0.67Enemies flashed / flash
2.1%Flash assists
9.69HE damage / grenade
6.81Flashes / 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

    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 36.2288% — below the 40% mark we flag

Spend your practice time on Mirage

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0010%20 Sept →
anubis8–13-0.0943%20 Sept →
inferno2–13-0.0586%20 Sept →
cache11–13-0.0316%20 Sept →
inferno10–13-0.0817%20 Sept →
cache10–13-0.0712%19 Sept →
dust216–130.0225%19 Sept →
inferno11–13-0.0531%15 Sept →
anubis1–13-0.1020%15 Sept →
mirage13–80.0014%15 Sept →
mirage11–13-0.0419%14 Sept →
nuke15–15-0.0422%14 Sept →
cache13–8-0.1223%14 Sept →
dust213–7-0.0417%14 Sept →
nuke13–50.0422%8 Sept →
cache5–13-0.0520%8 Sept →
mirage9–13-0.0714%7 Sept →
anubis3–6-0.050%7 Sept →
inferno13–4-0.0229%7 Sept →
cache13–9-0.0116%7 Sept →
dust213–11-0.0419%7 Sept →
dust24–00.040%7 Sept →
inferno13–11-0.0430%7 Sept →
ancient2–13-0.0021%7 Sept →
cache13–10-0.0223%7 Sept →
inferno13–80.0414%7 Sept →
nuke13–8-0.0024%6 Sept →
dust213–90.0518%6 Sept →
mirage7–13-0.0620%6 Sept →
cache13–80.0317%6 Sept →
mirage6–13-0.0310%6 Sept →
mirage13–60.0525%6 Sept →
nuke13–7-0.0323%6 Sept →
mirage12–16-0.0720%6 Sept →
mirage16–14-0.0116%5 Sept →
dust213–4-0.0234%4 Sept →
dust213–40.1429%4 Sept →
inferno15–150.0116%4 Sept →
anubis13–110.0127%4 Sept →
dust29–130.0120%4 Sept →
mirage3–13-0.0422%4 Sept →
nuke13–80.0626%4 Sept →
inferno1–13-0.0917%4 Sept →
mirage15–15-0.0417%4 Sept →
inferno5–130.0128%3 Sept →
cache16–14-0.0411%3 Sept →
cache13–110.0316%3 Sept →
inferno13–10.0414%3 Sept →
dust29–13-0.0732%3 Sept →
nuke13–70.0118%3 Sept →
anubis13–6-0.0012%3 Sept →
dust210–13-0.0224%3 Sept →
ancient9–13-0.0517%3 Sept →
ancient2–13-0.0320%3 Sept →
ancient13–60.0528%3 Sept →
mirage3–13-0.0724%3 Sept →
dust216–12-0.0117%2 Sept →
dust213–20.0312%2 Sept →
ancient13–80.0229%2 Sept →
inferno13–80.0523%2 Sept →
dust213–50.0115%1 Sept →
inferno12–40.0321%1 Sept →
dust21–13-0.0618%1 Sept →
vertigo9–20.1616%1 Sept →
inferno7–9-0.0217%1 Sept →
inferno9–30.0427%1 Sept →
vertigo8–80.0113%1 Sept →
inferno9–40.1327%1 Sept →
eldorado9–60.0813%1 Sept →
anubis15–150.0423%31 Aug →
ancient13–50.0813%31 Aug →
nuke11–130.0225%31 Aug →
inferno13–70.1137%31 Aug →
cache13–7-0.0330%31 Aug →
inferno13–16-0.0227%30 Aug →
inferno13–110.0240%30 Aug →
anubis4–13-0.0137%21 Jul →
mirage4–13-0.0121%15 Jul →
mirage13–16-0.0516%15 Jul →
ancient13–10.0832%15 Jul →
mirage13–40.0640%14 Jul →
nuke13–16-0.0118%14 Jul →
mirage16–12-0.0123%14 Jul →
cache8–13-0.0616%14 Jul →
mirage13–6-0.0514%14 Jul →
inferno16–13-0.0626%14 Jul →
ancient16–120.0920%13 Jul →
mirage8–13-0.0219%13 Jul →
ancient4–130.0015%13 Jul →
nuke15–150.0322%13 Jul →
ancient9–13-0.0115%13 Jul →
cache13–90.0120%13 Jul →
anubis13–80.0524%13 Jul →
cache13–10-0.0422%13 Jul →
inferno13–11-0.0322%10 Jul →
dust213–60.0328%10 Jul →
ancient4–130.0318%10 Jul →
dust29–13-0.0312%10 Jul →
inferno0–9-0.3029%9 Jul →
debris4–9-0.0543%9 Jul →

Match data via Leetify.

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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