GlueSniffer

GlueSniffer — CS2 Stats

SY76561198419483310[U:1:459217582]Steam profile ↗✓ No bans

1,350Tracked matches60%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating15,673Purple band · top ~25.7% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,350 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,673 -3,676 30 May – 14 Oct · 27 days played
14,41919,710peak 19,71030 May14 Oct
19,787Peak Premier in tracked matches
33Days played since 2026-05-30

Premier CS Rating

  • 4,037 below peak (19,710)
  • +1,254 over 90 days
  • Next: Pink band at 20,000 — 4,327 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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

Share this profile

CSDB.GGGlueSnifferFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER15,673 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning59
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWLWLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.1pp headshot accuracy · −23ms 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 -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 625ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 636ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 648ms

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 (+1.1 against its own average).

Aim6.4
Utility5.4
Positioning5.9
Opening Duels5.3
Clutch2.6

Limited utility dependence

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

jL

Plays most like jL 91% 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. 645ms 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

Aim6.4
Positioning5.9
Utility5.4
Mechanics6.8
Opening Duels3.0
Win Impact8.3

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.04
first ⅓ avg -0.04 → last ⅓ avg -0.00
Reaction time649ms+13ms
first ⅓ avg 636ms → last ⅓ avg 649ms
Headshot accuracy21.1%−3.4%
first ⅓ avg 24.4% → last ⅓ avg 21.1%

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

0.13Best match rating · 13–6 · nuke, 5 Aug →
67%Best headshot accuracy · 2–9 · sanctum, 22 Jun →
414msFastest reaction time · 13–10 · inferno, 13 Jun →
13–1Biggest win · anubis, 27 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 79% over 14infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC177–1041%-0.01
dust2C166–1038%-0.00
nukeB147–750%-0.01
anubisS1411–379%-0.00
infernoD124–833%-0.03
ancientA116–555%-0.00
cacheB84–450%-0.04
sanctum—41–325%-0.13
debris—10–10%-0.17
poseidon—10–10%-0.17
stronghold—11–0100%-0.03
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

139Matches
55%Win rate
1.25Avg K/D
81.6ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1050%0.9716.8
Nuke757%1.1113.1
Inferno580%1.0613.8
Dust2560%1.7320.0
Mirage425%0.8613.0
Overpass250%1.3226.0
Anubis10%0.7613.0
Train10%0.8214.0

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.

21.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.0%Spray accuracy
80.8%Counter-strafing
9.6°Preaim
645msReaction time
36.4%T opening success
47.8%CT opening success
0.57Enemies flashed / flash
10.0%Flash assists
9.31HE damage / grenade
3.52Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5199 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 36.3772% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0423%6 Aug →
dust26–130.0536%6 Aug →
mirage13–8-0.0121%6 Aug →
dust27–130.0123%6 Aug →
cache6–13-0.0525%5 Aug →
nuke13–60.1321%5 Aug →
ancient9–13-0.010%5 Aug →
anubis13–90.0329%4 Aug →
nuke3–13-0.0817%4 Aug →
ancient13–50.0318%4 Aug →
mirage6–13-0.0724%3 Aug →
dust214–160.0034%2 Aug →
ancient14–16-0.0118%2 Aug →
mirage13–6-0.0117%2 Aug →
anubis13–80.0011%2 Aug →
mirage11–130.0828%2 Aug →
inferno5–13-0.0018%30 Jul →
mirage13–7-0.0227%30 Jul →
ancient9–13-0.0018%30 Jul →
anubis13–10-0.007%30 Jul →
anubis13–9-0.0336%28 Jul →
nuke13–8-0.0116%28 Jul →
dust213–60.0422%28 Jul →
ancient13–100.0211%27 Jul →
anubis13–10.0816%27 Jul →
anubis13–8-0.0423%26 Jul →
cache13–10-0.0117%23 Jul →
nuke13–8-0.0323%23 Jul →
dust210–13-0.0232%22 Jul →
mirage13–50.0121%22 Jul →
ancient13–90.0214%22 Jul →
dust26–13-0.0536%19 Jul →
mirage9–13-0.0514%18 Jul →
dust24–13-0.0450%17 Jul →
mirage8–13-0.0327%17 Jul →
anubis13–70.0327%17 Jul →
nuke10–13-0.0313%17 Jul →
cache1–13-0.0929%17 Jul →
inferno13–11-0.0224%17 Jul →
cache13–11-0.0127%16 Jul →
anubis15–15-0.0321%16 Jul →
inferno4–130.0126%16 Jul →
mirage5–13-0.0428%16 Jul →
nuke13–100.039%16 Jul →
nuke13–110.0429%16 Jul →
debris3–9-0.1740%16 Jul →
ancient13–70.0127%15 Jul →
nuke13–90.0427%15 Jul →
cache13–50.1123%15 Jul →
dust29–13-0.0320%12 Jul →
dust213–60.0513%12 Jul →
nuke9–13-0.1019%12 Jul →
ancient13–8-0.0229%12 Jul →
mirage13–90.0717%12 Jul →
inferno14–16-0.0511%12 Jul →
dust213–40.1027%12 Jul →
dust213–20.0413%11 Jul →
mirage13–16-0.0018%10 Jul →
mirage11–130.0017%10 Jul →
cache13–8-0.0619%9 Jul →
cache15–15-0.0722%9 Jul →
nuke11–13-0.0018%9 Jul →
ancient5–13-0.0813%9 Jul →
mirage4–130.0030%9 Jul →
mirage13–8-0.0118%8 Jul →
inferno12–12-0.0342%8 Jul →
cache0–13-0.1033%7 Jul →
inferno10–13-0.0224%24 Jun →
nuke7–130.0221%24 Jun →
mirage6–13-0.1111%24 Jun →
inferno16–140.0219%22 Jun →
ancient11–13-0.0312%22 Jun →
ancient5–20.0519%22 Jun →
sanctum2–9-0.1567%22 Jun →
mirage7–130.0038%21 Jun →
anubis8–13-0.0418%21 Jun →
dust213–90.0019%21 Jun →
sanctum4–9-0.1115%21 Jun →
mirage13–70.0618%19 Jun →
dust213–10-0.0316%15 Jun →
nuke11–13-0.0229%15 Jun →
dust27–13-0.1227%15 Jun →
inferno9–13-0.029%15 Jun →
anubis13–9-0.0622%15 Jun →
dust27–13-0.0356%15 Jun →
anubis13–100.0013%13 Jun →
nuke13–10-0.0045%13 Jun →
inferno13–10-0.0138%13 Jun →
inferno11–13-0.0414%6 Jun →
poseidon8–8-0.1714%6 Jun →
stronghold13–8-0.0324%5 Jun →
vertigo13–90.0423%5 Jun →
inferno3–9-0.1536%4 Jun →
sanctum9–5-0.025%4 Jun →
nuke4–9-0.1017%4 Jun →
anubis8–13-0.0324%2 Jun →
sanctum2–9-0.229%2 Jun →
anubis13–110.0139%2 Jun →
dust211–13-0.0445%30 May →
anubis13–11-0.0021%30 May →

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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