S'noH

S'noH — CS2 Stats

76561198247216936[U:1:286951208]Steam profile ↗✓ No bans

1,004Tracked matches57%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating13,423Blue band · top ~36.8% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (3 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: 13,423 +4,979 15 Mar – 8 Nov · 26 days played
5,93913,505peak 13,50515 Mar8 Nov
13,505Peak Premier in tracked matches
37Days played since 2026-03-12

Premier CS Rating

  • 82 below peak (13,505)
  • Next: Purple band at 15,000 — 1,577 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGS'noHPREMIER13,423 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning77
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWWWLLLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.2pp headshot accuracy · +31ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 536ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 538ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 522ms

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 (+0.8 against its own average).

Aim7.7
Utility6.3
Positioning7.7
Opening Duels6.7

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

device

Plays most like device 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

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

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 70% T opening-duel success — entries that actually open the round.

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

Aim7.7
Positioning7.7
Utility6.3
Mechanics7.7
Opening Duels8.7
Win Impact7.2

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time545ms−97ms
first ⅓ avg 642ms → last ⅓ avg 545ms
Headshot accuracy12.4%+2.8%
first ⅓ avg 9.5% → last ⅓ avg 12.4%

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

0.11Best match rating · 13–1 · inferno, 8 Nov →
30%Best headshot accuracy · 13–7 · cache, 8 Nov →
406msFastest reaction time · 13–9 · anubis, 3 Nov →
13–1Biggest win · inferno, 8 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W4Current streak
2–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD196–1332%-0.02
cacheB189–950%-0.03
ancientA1811–761%-0.00
nukeC156–940%-0.02
anubisC94–544%-0.00
dust2A85–363%0.02
overpassS86–275%-0.01
mirage—30–30%-0.01
vertigo—21–150%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.6%Spray accuracy
84.7%Counter-strafing
10.8°Preaim
535msReaction time
69.7%T opening success
60.1%CT opening success
0.56Enemies flashed / flash
12.6%Flash assists
10.18HE damage / grenade
9.58Flashes / 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. 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 12.1003% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10.1110%8 Nov →
anubis13–50.043%8 Nov →
cache13–70.0530%8 Nov →
nuke13–40.1017%8 Nov →
mirage2–13-0.046%8 Nov →
cache9–130.027%4 Nov →
dust211–13-0.029%4 Nov →
nuke10–130.0514%4 Nov →
cache13–90.0611%3 Nov →
ancient13–70.036%3 Nov →
anubis13–90.056%3 Nov →
ancient13–8-0.0211%30 Oct →
mirage7–13-0.0115%23 Oct →
inferno6–13-0.0316%23 Oct →
dust213–90.0311%22 Oct →
anubis13–160.0516%22 Oct →
dust213–40.0820%22 Oct →
mirage7–130.0217%21 Oct →
inferno8–130.064%21 Oct →
inferno13–90.049%21 Oct →
ancient13–80.0614%21 Oct →
inferno13–50.029%21 Oct →
nuke3–13-0.0511%28 Jun →
inferno9–130.0315%28 Jun →
cache5–13-0.0817%28 Jun →
ancient13–50.059%28 Jun →
ancient13–50.0814%28 Jun →
dust23–130.0314%27 Jun →
ancient16–140.0611%27 Jun →
inferno13–80.0012%27 Jun →
dust213–50.0812%27 Jun →
nuke13–70.0520%27 Jun →
ancient10–13-0.0013%27 Jun →
nuke11–130.0314%27 Jun →
nuke2–9-0.258%26 Jun →
vertigo9–3-0.0411%26 Jun →
inferno8–8-0.040%26 Jun →
inferno11–13-0.079%2 Jun →
vertigo1–9-0.220%28 May →
ancient8–13-0.0415%28 May →
nuke4–13-0.0813%28 May →
inferno9–13-0.0517%27 May →
nuke6–13-0.0514%26 May →
inferno8–13-0.026%26 May →
overpass13–90.017%26 May →
nuke13–20.075%26 May →
cache13–50.0416%21 May →
cache13–4-0.0316%21 May →
anubis10–13-0.0310%21 May →
cache7–13-0.0812%20 May →
cache13–8-0.076%20 May →
cache10–13-0.0814%19 May →
cache12–120.0312%19 May →
inferno5–13-0.0711%19 May →
cache13–6-0.024%17 May →
cache3–13-0.0610%17 May →
cache13–6-0.0311%6 May →
cache13–50.0112%6 May →
cache11–13-0.0312%6 May →
cache9–13-0.0411%5 May →
cache8–3-0.1110%5 May →
cache6–13-0.114%29 Apr →
anubis7–13-0.119%27 Apr →
nuke6–13-0.1024%27 Apr →
ancient6–130.003%21 Apr →
dust210–13-0.048%16 Apr →
overpass13–9-0.062%16 Apr →
nuke13–8-0.0212%14 Apr →
ancient13–50.034%14 Apr →
inferno1–13-0.0911%13 Apr →
dust213–100.018%13 Apr →
overpass13–5-0.057%12 Apr →
ancient13–11-0.0315%12 Apr →
inferno13–9-0.057%10 Apr →
anubis13–80.0210%10 Apr →
nuke13–40.0915%10 Apr →
overpass13–60.0816%8 Apr →
dust213–9-0.0021%8 Apr →
inferno14–16-0.036%7 Apr →
nuke13–8-0.007%7 Apr →
anubis10–130.0018%3 Apr →
nuke10–13-0.062%3 Apr →
inferno13–2-0.0813%3 Apr →
ancient13–5-0.0118%3 Apr →
inferno6–13-0.084%2 Apr →
ancient13–20.060%2 Apr →
ancient5–13-0.096%2 Apr →
inferno10–13-0.084%23 Mar →
ancient8–13-0.035%23 Mar →
overpass8–13-0.017%23 Mar →
ancient13–6-0.0616%23 Mar →
nuke14–16-0.039%21 Mar →
ancient5–13-0.068%21 Mar →
anubis11–13-0.088%21 Mar →
ancient9–13-0.080%16 Mar →
overpass13–16-0.058%15 Mar →
anubis13–30.0412%15 Mar →
inferno8–8-0.0117%15 Mar →
overpass9–4-0.056%15 Mar →
overpass9–30.0516%12 Mar →

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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