Snood

Snood — CS2 Stats

DE76561199011734670[U:1:1051468942]Steam profile ↗✓ No bans

250Tracked matches52%Win rate2024Tracked since
2,276Hours in CS
CSDB Rating5.3 DevelopingClutch Specialist
FaceitLevel 5 · 1,119 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,140 +1,030 22 Dec – 27 Dec · 4 days played
10,11011,140peak 11,14022 Dec27 Dec
11,140Peak Premier in tracked matches
1,119Highest Faceit ELO seen on CSDB
51Days played since 2025-10-31

Faceit ELO

  • At peak — 1,119
  • Next: Level 6 at 1,201 — 82 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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
Matches16——
Win rate13%——
K/D0.77——
Headshot %56%——

Measured 29 Aug 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,642), 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 5 medianLevel 6 medianvs Level 6
Headshot rate55.4%43.8%44.8%above
Shot accuracy0.2%12.0%12.4%12.3% short
Kill/death ratio0.901.021.030.14 short
Match win rate38.6%44.7%45.2%6.6% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSnoodFACEITLevel 5 · 1,119 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,119csdb.gg/stats

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Performance scores

Aim71
Positioning67
Utility39

0–100 skill scores via Leetify.

Recent form

COLD47–41–12Last 10047%Win rateLTLTLLWWWL

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · −3.2pp headshot accuracy · +81ms 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 622ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 615ms

Last 20

  • 6–8–6 · 30% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 26%
  • Avg reaction 574ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.9 against its own average).

Aim7.1
Utility3.9
Positioning6.7
Opening Duels6.0
Clutch6.8

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

s1mple

Plays most like s1mple 93% 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

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. 600ms 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
Positioning6.7
Utility3.9
Mechanics5.7
Opening Duels4.7
Win Impact5.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.08+0.06
first ⅓ avg 0.02 → last ⅓ avg 0.08
Reaction time566ms−27ms
first ⅓ avg 593ms → last ⅓ avg 566ms
Headshot accuracy25.2%+3.5%
first ⅓ avg 21.7% → last ⅓ avg 25.2%

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

0.38Best match rating · 9–0 · inferno, 18 Apr →
60%Best headshot accuracy · 9–0 · inferno, 8 Apr →
375msFastest reaction time · 8–8 · inferno, 5 May →
13–1Biggest win · anubis, 1 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 52% over 42mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB4222–2052%0.08
nukeB157–847%0.07
dust2B126–650%0.03
mirageC114–736%0.03
overpassC52–340%0.04
ancient—42–250%0.06
vertigo—30–30%-0.01
anubis—21–150%0.08
office—21–150%-0.06
warden—11–0100%-0.03
agency—11–0100%0.05
train—10–10%-0.03
palacio—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,721Lifetime kills
0.90K/D
1,699Matches
38.6%Match win rate
55.4%Headshot % · Top 10% of Level 5 players
0.2%Shot accuracy
4,874MVPs
2,276Hours (in match)
953Bombs planted
563Bombs defused

Most-used weapons

Lifetime map wins

2,382dust2
1,922inferno
951nuke
805vertigo
123train
36office
25italy
6ar_shoots

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

Faceit stats

Combat

70Matches
44%Win rate
1.09Avg K/D
80.3ADR
51%Headshot %

Clutches & streaks

54%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust22245%1.0915.2
Mirage1741%1.1417.9
Ancient1443%0.9313.1
Inferno729%0.9916.1
Overpass475%1.5120.8
Anubis20%0.9516.0
Train250%0.7810.5
Nuke2100%1.6817.5

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.

26.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
34.0%Spray accuracy
75.8%Counter-strafing
10.2°Preaim
600msReaction time
42.4%T opening success
55.0%CT opening success
0.46Enemies flashed / flash
5.5%Flash assists
5.59HE damage / grenade
8.76Flashes / 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 0.4629 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–130.0718%8 Sept →
dust212–12-0.0136%7 Sept →
dust29–13-0.0622%19 Jul →
dust212–120.0627%15 Jul →
inferno0–9-0.1711%11 Jul →
inferno7–90.0426%25 Jun →
inferno9–50.0929%25 Jun →
inferno9–60.1216%24 May →
inferno9–00.3527%24 May →
inferno5–90.0330%6 May →
inferno8–80.0132%6 May →
inferno8–80.0425%5 May →
inferno7–90.0622%1 May →
inferno8–80.0318%25 Apr →
inferno9–60.2146%23 Apr →
nuke9–50.2742%23 Apr →
nuke7–90.0313%21 Apr →
nuke9–20.3326%21 Apr →
inferno8–80.1726%21 Apr →
overpass7–9-0.0224%21 Apr →
inferno9–50.1228%19 Apr →
inferno9–70.1131%19 Apr →
inferno9–60.1625%18 Apr →
nuke5–90.0833%18 Apr →
mirage2–130.0122%18 Apr →
inferno9–00.3844%18 Apr →
inferno10–13-0.0224%11 Apr →
mirage3–130.0114%11 Apr →
inferno2–130.0229%11 Apr →
dust213–8-0.0327%10 Apr →
inferno9–50.0714%10 Apr →
nuke4–9-0.129%8 Apr →
inferno9–00.3517%8 Apr →
inferno9–00.0860%8 Apr →
inferno9–50.0928%8 Apr →
inferno9–30.1523%8 Apr →
inferno4–9-0.0327%8 Apr →
inferno9–30.1319%7 Apr →
inferno9–40.1132%7 Apr →
nuke5–9-0.0921%7 Apr →
dust213–50.1023%7 Apr →
inferno5–9-0.0220%7 Apr →
inferno3–9-0.0318%6 Apr →
dust213–60.0922%3 Apr →
ancient9–130.0836%3 Apr →
inferno8–80.0218%2 Apr →
inferno13–20.0621%2 Apr →
nuke9–30.1329%2 Apr →
inferno8–80.0535%1 Apr →
vertigo6–9-0.1521%1 Apr →
inferno9–10.0714%1 Apr →
anubis13–10.1825%1 Apr →
nuke6–90.1121%31 Mar →
anubis4–13-0.0126%15 Mar →
mirage12–120.1424%15 Mar →
inferno13–10.1141%21 Feb →
warden13–4-0.0321%21 Feb →
mirage5–13-0.0232%21 Feb →
office13–5-0.0841%21 Feb →
inferno9–70.1019%6 Feb →
mirage13–70.0621%6 Feb →
nuke9–30.0527%6 Feb →
nuke13–40.0219%5 Feb →
overpass9–40.1541%16 Jan →
inferno6–130.0741%7 Jan →
mirage14–16-0.0125%5 Jan →
ancient13–90.0919%5 Jan →
mirage13–8-0.0021%1 Jan →
ancient13–10.0734%27 Dec →
dust211–130.0022%26 Dec →
nuke13–10-0.0130%25 Dec →
inferno8–130.0631%25 Dec →
nuke13–70.0526%25 Dec →
dust212–120.0834%23 Dec →
dust213–80.0217%22 Dec →
agency13–90.0519%18 Dec →
train11–13-0.0322%16 Dec →
office8–13-0.0434%16 Dec →
palacio12–12-0.0820%11 Dec →
dust213–10-0.0219%11 Dec →
mirage7–13-0.0628%28 Nov →
overpass9–20.0227%24 Nov →
inferno6–90.0214%18 Nov →
mirage8–13-0.0115%15 Nov →
dust213–70.0031%14 Nov →
overpass11–130.0124%9 Nov →
inferno4–9-0.1011%9 Nov →
ancient7–130.0021%9 Nov →
nuke4–130.0010%7 Nov →
vertigo7–130.039%7 Nov →
mirage7–20.0713%7 Nov →
overpass12–120.0526%5 Nov →
nuke10–130.0710%5 Nov →
inferno7–00.0140%5 Nov →
nuke11–130.0916%4 Nov →
inferno13–110.0624%4 Nov →
vertigo3–130.0920%4 Nov →
inferno9–70.0613%4 Nov →
inferno9–130.0517%3 Nov →
mirage13–50.1416%31 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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.