Sna1r

Sna1r — CS2 Stats

HU76561199176101694[U:1:1215835966]Steam profile ↗✓ No bans

616Tracked matches60%Win rate2025Tracked since
909Hours in CS34Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating23,915Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#33408 of 260004 tracked
FaceitLevel 9 · 1,114 ELOTop 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 23,915 +1,588 26 Jul – 3 Nov · 19 days played
21,93823,915peak 23,91526 Jul3 Nov
24,739Peak Premier in tracked matches
1,114Highest Faceit ELO seen on CSDB
42Days played since 2026-07-22

Faceit ELO

  • At peak — 1,114
  • Next: Level 6 at 1,201 — 87 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • At peak — 23,915
  • +1,848 over 30 days · improving
  • +1,522 over 90 days
  • Next: Red band at 25,000 — 1,085 to go
  • Reached: Pink band · Purple band · Blue band · Light 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate68.3%48.2%50.9%above
Shot accuracy0.0%13.2%13.7%13.7% short
Kill/death ratio1.101.071.09meets
Match win rate53.3%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSna1rFACEITLevel 9 · 1,114 ELOSTANDINGTop 20.7% of rankedPREMIER23,915 · Pink bandPEAK ELO1,114csdb.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

Aim91
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateLLWWWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +4.0pp headshot accuracy · −34ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 37%
  • Avg reaction 547ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 559ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 575ms

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 (+1.6 against its own average).

Aim9.1
Utility5.0
Positioning6.2
Opening Duels3.9
Clutch3.4

Sharp aimer

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

sh1ro

Plays most like sh1ro 98% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

Reaction time. 562ms 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

Aim9.1
Positioning6.2
Utility5.0
Mechanics7.1
Opening Duels6.6
Win Impact8.3

Composite 7.4/10 (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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time559ms−62ms
first ⅓ avg 621ms → last ⅓ avg 559ms
Headshot accuracy28.9%+1.2%
first ⅓ avg 27.7% → last ⅓ avg 28.9%

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 · 13–5 · vertigo, 29 Sept →
100%Best headshot accuracy · 4–0 · mirage, 28 Sept →
359msFastest reaction time · 6–13 · mirage, 15 Sept →
13–0Biggest win · dust2, 23 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 68% over 19anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA3419–1556%0.00
infernoS1913–668%-0.01
dust2A159–660%0.00
ancientS128–467%-0.01
nukeS64–267%-0.02
cacheC52–340%0.01
anubisD51–420%0.00
office—21–150%-0.02
vertigo—21–150%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,695Lifetime kills
1.10K/D · Top 50% of Level 9 players
988Matches
53.3%Match win rate · Top 10% of Level 9 players
68.3%Headshot % · Top 5% of Level 9 players
0.0%Shot accuracy
5,225MVPs
471Hours (in match)
466Bombs planted
183Bombs defused

Most-used weapons

Lifetime map wins

2,261office
1,391inferno
1,356dust2
634nuke
75vertigo
71italy
43train
18lake

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

Faceit stats

Combat

153Matches
58%Win rate
1.10Avg K/D
80.2ADR
56%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5855%1.1115.4
Dust23259%1.1416.5
Inferno2383%1.1418.8
Ancient2152%1.1015.6
Anubis1127%0.9114.7
Nuke475%1.0116.8
Cache30%0.6610.3
Overpass1100%1.4320.0

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.

29.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
41.0%Spray accuracy
82.1%Counter-strafing
7.5°Preaim
562msReaction time
62.6%T opening success
49.9%CT opening success
0.64Enemies flashed / flash
4.0%Flash assists
8.11HE damage / grenade
6.31Flashes / match

Recommended for you

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0228%3 Nov →
inferno13–16-0.0135%3 Nov →
office13–7-0.0342%3 Nov →
dust216–12-0.0046%3 Nov →
dust213–10.0938%3 Nov →
nuke13–90.0033%3 Nov →
inferno10–13-0.0327%2 Nov →
mirage13–6-0.0120%2 Nov →
nuke13–3-0.0624%2 Nov →
mirage6–13-0.0219%1 Nov →
mirage9–130.0431%1 Nov →
dust213–100.0323%1 Nov →
inferno13–20.0630%1 Nov →
inferno11–13-0.0432%1 Nov →
cache13–40.0542%1 Nov →
ancient4–13-0.0619%29 Oct →
ancient13–80.0116%28 Oct →
inferno13–11-0.0027%28 Oct →
mirage4–130.0031%28 Oct →
dust213–40.0420%28 Oct →
cache13–5-0.0123%28 Oct →
dust213–30.0227%28 Oct →
inferno9–20.1631%28 Oct →
nuke13–80.0120%23 Oct →
inferno13–60.0440%20 Oct →
inferno10–13-0.0519%18 Oct →
mirage10–13-0.0540%18 Oct →
mirage13–30.0424%18 Oct →
anubis13–70.0229%14 Oct →
cache8–130.0633%8 Oct →
cache9–13-0.0031%6 Oct →
ancient19–16-0.0530%5 Oct →
vertigo13–50.1628%29 Sept →
vertigo6–13-0.0030%29 Sept →
dust20–13-0.1033%28 Sept →
mirage4–00.08100%28 Sept →
inferno13–90.0028%28 Sept →
mirage7–13-0.0635%16 Sept →
mirage6–13-0.0127%15 Sept →
inferno13–70.0123%12 Sept →
inferno0–9-0.2517%10 Sept →
office4–13-0.0133%10 Sept →
mirage13–10-0.0230%3 Sept →
mirage13–7-0.0224%2 Sept →
inferno13–4-0.0535%31 Aug →
mirage13–11-0.0319%30 Aug →
mirage13–8-0.0421%30 Aug →
inferno13–100.0320%23 Aug →
mirage13–50.0729%23 Aug →
anubis10–130.0224%23 Aug →
anubis8–13-0.0017%23 Aug →
ancient13–8-0.0329%17 Aug →
anubis10–13-0.0223%17 Aug →
ancient13–50.0714%17 Aug →
mirage13–40.0927%17 Aug →
mirage12–30.0326%14 Aug →
dust213–60.0340%12 Aug →
ancient4–13-0.0816%11 Aug →
mirage7–130.0121%10 Aug →
mirage13–40.1241%10 Aug →
ancient13–10-0.0116%10 Aug →
mirage5–13-0.0323%10 Aug →
anubis10–13-0.0120%9 Aug →
inferno28–250.0426%9 Aug →
ancient10–130.0227%9 Aug →
mirage13–3-0.0228%8 Aug →
mirage9–13-0.0216%7 Aug →
mirage13–100.0320%6 Aug →
mirage11–00.0324%6 Aug →
mirage5–13-0.0139%6 Aug →
mirage4–130.0131%6 Aug →
mirage5–13-0.0743%5 Aug →
mirage8–13-0.0229%4 Aug →
mirage7–130.0237%4 Aug →
ancient16–130.0438%3 Aug →
dust220–22-0.0226%2 Aug →
dust213–7-0.0613%2 Aug →
mirage13–11-0.0325%2 Aug →
mirage11–13-0.0533%2 Aug →
mirage13–30.0533%2 Aug →
cache5–13-0.0530%2 Aug →
inferno9–30.0447%2 Aug →
mirage13–8-0.0428%1 Aug →
dust29–13-0.0420%27 Jul →
dust213–50.0316%27 Jul →
mirage16–12-0.0419%27 Jul →
inferno13–7-0.0127%26 Jul →
nuke13–110.0121%26 Jul →
dust26–13-0.0318%26 Jul →
nuke5–9-0.098%26 Jul →
nuke5–9-0.0247%26 Jul →
inferno19–160.0022%26 Jul →
mirage13–9-0.0226%26 Jul →
ancient13–11-0.0137%26 Jul →
inferno13–8-0.0133%26 Jul →
dust27–13-0.0636%26 Jul →
dust26–13-0.0421%26 Jul →
ancient13–80.0426%24 Jul →
dust213–00.1026%23 Jul →
ancient11–13-0.0115%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.