SHR SNOW

SHR SNOW — CS2 Stats

76561198118481850[U:1:158216122]Steam profile ↗✓ No bans

1,099Tracked matches59%Win rate2020Tracked since
3,359Hours in CS5Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating21,005Top 50% of 213,211 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#69859 of 259854 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 21,005 +1,123 17 Apr – 2 Nov · 26 days played
19,58224,764peak 24,76417 Apr2 Nov
24,764Peak Premier in tracked matches
0Highest Faceit ELO seen on CSDB
42Days played since 2026-04-17

Premier CS Rating

  • 3,759 below peak (24,764)
  • +899 over 30 days · improving
  • +1,213 over 90 days
  • Next: Red band at 25,000 — 3,995 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate58.9%46.9%49.3%above
Shot accuracy17.9%13.0%13.4%above
Kill/death ratio0.911.081.120.21 short
Match win rate39.3%46.7%48.5%9.2% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSHR SNOWPREMIER21,005 · Pink bandPEAK ELO0csdb.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

Aim66
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWLLWLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.9pp headshot accuracy · −63ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 552ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 586ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 618ms

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).

Aim6.6
Utility5.7
Positioning5.0
Opening Duels1.9
Clutch0.0

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

b1t

Plays most like b1t 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 626ms 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

Aim6.6
Positioning5.0
Utility5.7
Mechanics6.7
Opening Duels1.8
Win Impact7.9

Composite 5.9/10 (Solid), 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-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time626ms−37ms
first ⅓ avg 663ms → last ⅓ avg 626ms
Headshot accuracy18.7%−3.1%
first ⅓ avg 21.8% → last ⅓ avg 18.7%

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

0.17Best match rating · 13–1 · nuke, 10 Aug →
38%Best headshot accuracy · 15–15 · dust2, 19 Apr →
422msFastest reaction time · 8–2 · cache, 27 Jul →
13–0Biggest win · dust2, 17 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 78% over 18dust2Weakest map · 40% over 30
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%-0.01
cacheS1814–478%-0.01
infernoC177–1041%0.01
ancientB179–853%-0.01
nukeA85–363%0.02
overpassC52–340%0.01
anubis—42–250%-0.02
mirage—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,515Lifetime kills
0.91K/D
4,680Matches
39.3%Match win rate
58.9%Headshot % · Top 10% of Pink band
17.9%Shot accuracy · Top 25% of Pink band
9,884MVPs
2,345Hours (in match)
5,304Bombs planted
962Bombs defused

Most-used weapons

AK-4746,073
P2503,946
AWP3,598
SSG 082,058
FAMAS2,042

Lifetime map wins

9,128inferno
8,237dust2
2,813nuke
2,396train
1,221cbble
647vertigo
99shorttrain
88safehouse

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

Faceit stats

Combat

572Matches
50%Win rate
1.09Avg K/D
81.3ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient367%2.0113.3
Inferno250%0.9411.0

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.

18.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.6%Spray accuracy
80.1%Counter-strafing
10.4°Preaim
626msReaction time
37.9%T opening success
36.6%CT opening success
0.62Enemies flashed / flash
3.1%Flash assists
6.88HE damage / grenade
9.51Flashes / 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 37.941% — below the 40% mark we flag

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.

40% win rate across 30 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
cache3–13-0.076%2 Nov →
inferno13–20.1223%30 Oct →
mirage11–130.0114%30 Oct →
dust29–13-0.0623%30 Oct →
dust213–30.0021%26 Oct →
nuke9–130.0318%26 Oct →
anubis13–11-0.0323%26 Oct →
ancient13–4-0.0612%19 Oct →
dust213–9-0.0126%19 Oct →
cache13–11-0.0515%7 Oct →
cache13–60.0315%7 Oct →
dust213–11-0.0022%21 Sept →
dust213–11-0.0517%7 Sept →
cache6–13-0.0413%7 Sept →
ancient8–13-0.0115%7 Sept →
ancient7–13-0.0621%2 Sept →
dust212–120.0518%2 Sept →
dust27–13-0.0424%26 Aug →
nuke16–13-0.0214%10 Aug →
cache13–80.0931%10 Aug →
cache13–110.0231%10 Aug →
dust216–14-0.0515%10 Aug →
nuke13–10.1727%10 Aug →
cache13–5-0.0112%10 Aug →
inferno8–130.0721%5 Aug →
nuke4–13-0.0017%5 Aug →
ancient13–90.0514%3 Aug →
inferno8–130.0229%3 Aug →
ancient13–7-0.0614%31 Jul →
inferno10–13-0.0313%31 Jul →
cache11–13-0.0517%31 Jul →
ancient7–13-0.0212%30 Jul →
cache13–60.0325%28 Jul →
dust210–13-0.069%28 Jul →
inferno5–13-0.0522%28 Jul →
anubis13–10.0217%27 Jul →
cache8–2-0.0733%27 Jul →
dust26–130.0620%24 Jul →
anubis11–13-0.0317%23 Jul →
dust213–5-0.0318%23 Jul →
dust23–13-0.0512%23 Jul →
cache13–110.0221%16 Jul →
inferno13–90.0413%16 Jul →
dust213–10-0.0026%16 Jul →
dust28–13-0.0421%16 Jul →
dust210–130.0030%16 Jul →
ancient4–13-0.0822%15 Jul →
cache13–5-0.0122%14 Jul →
cache13–70.0421%14 Jul →
cache13–4-0.0233%14 Jul →
dust216–13-0.0413%5 Jul →
cache13–70.0419%5 Jul →
cache13–5-0.0320%5 Jul →
dust25–13-0.0615%5 Jul →
dust210–13-0.0215%3 Jul →
dust21–13-0.0821%3 Jul →
dust213–00.000%17 Jun →
ancient13–6-0.028%16 Jun →
inferno13–60.0219%14 Jun →
ancient2–13-0.0415%14 Jun →
ancient13–10.1123%14 Jun →
dust213–90.0424%10 Jun →
inferno5–13-0.039%10 Jun →
ancient16–130.0820%8 Jun →
inferno5–13-0.0421%8 Jun →
ancient13–9-0.003%4 Jun →
dust213–110.0415%30 May →
ancient1–13-0.0429%30 May →
dust22–13-0.0225%25 May →
dust29–130.0121%25 May →
overpass11–13-0.0513%23 May →
overpass13–110.0425%23 May →
dust213–40.0225%23 May →
inferno13–110.0125%5 May →
overpass11–130.0420%5 May →
dust211–130.0027%5 May →
inferno10–13-0.0124%1 May →
anubis12–12-0.0325%30 Apr →
cache7–13-0.0913%30 Apr →
inferno6–13-0.0527%30 Apr →
cache13–50.0128%29 Apr →
ancient15–150.0117%27 Apr →
nuke16–12-0.0316%27 Apr →
overpass13–110.0428%26 Apr →
inferno13–90.0627%26 Apr →
nuke11–130.0613%26 Apr →
ancient6–13-0.0616%26 Apr →
dust26–13-0.0212%26 Apr →
inferno13–11-0.0216%25 Apr →
ancient13–7-0.0232%20 Apr →
dust22–13-0.0336%20 Apr →
inferno13–100.0317%20 Apr →
overpass3–13-0.0313%20 Apr →
dust215–15-0.0038%19 Apr →
nuke13–7-0.0332%19 Apr →
ancient13–10.0320%19 Apr →
inferno8–13-0.0016%17 Apr →
inferno11–130.0218%17 Apr →
dust214–16-0.0225%17 Apr →
nuke5–0-0.030%17 Apr →

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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