Shelfie

Shelfie — CS2 Stats

AU76561198200700885[U:1:240435157]Steam profile ↗✓ No bans

1,094Tracked matches37%Win rate2021Tracked since
CSDB Rating5.1 DevelopingSupport
Premier CS Rating16,524Purple band · top ~22.3% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,094 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,524 -894 18 Jul – 23 Oct · 18 days played
16,52420,000peak 20,00018 Jul23 Oct
20,227Peak Premier in tracked matches
22Days played since 2026-07-18

Premier CS Rating

  • 3,476 below peak (20,000)
  • 0 over 30 days · steady
  • -2,086 over 90 days
  • Next: Pink band at 20,000 — 3,476 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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

Share this profile

CSDB.GGShelfieFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER16,524 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning42
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWWWWLLWLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −5.9pp headshot accuracy · −92ms 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 -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 594ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 572ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • 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 against its own average).

Aim7.3
Utility5.6
Positioning4.2
Opening Duels0.6
Clutch4.0

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 611ms 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

Aim7.3
Positioning4.2
Utility5.6
Mechanics7.7
Opening Duels0.6
Win Impact0.6

Composite 5.1/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time615ms−23ms
first ⅓ avg 637ms → last ⅓ avg 615ms
Headshot accuracy17.8%−3.6%
first ⅓ avg 21.4% → last ⅓ avg 17.8%

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 · 13–4 · cache, 22 Jul →
42%Best headshot accuracy · 11–13 · mirage, 28 Jul →
461msFastest reaction time · 14–16 · inferno, 3 Aug →
13–0Biggest win · mirage, 23 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 100% over 6anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3720–1754%-0.00
cacheB2411–1346%-0.01
ancientC156–940%0.00
infernoA95–456%-0.01
nukeS66–0100%-0.00
anubisD61–517%-0.01
dust2—31–233%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

238Matches
53%Win rate
1.05Avg K/D
70.5ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6250%1.0214.9
Cache1968%1.3415.4
Ancient1533%1.1114.9
Inferno1464%0.9313.6
Nuke1267%0.9313.6
Anubis1040%0.8713.6
Vertigo978%0.8613.4
Dust2367%1.5424.0

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
36.1%Accuracy (enemy spotted)
36.6%Spray accuracy
84.8%Counter-strafing
10.2°Preaim
611msReaction time
28.2%T opening success
34.5%CT opening success
0.53Enemies flashed / flash
3.9%Flash assists
6.46HE damage / grenade
17.53Flashes / 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 28.2144% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.037%6 Oct →
mirage13–11-0.0510%25 Sept →
cache13–8-0.0215%15 Sept →
mirage16–13-0.0311%28 Aug →
mirage13–7-0.053%14 Aug →
cache7–13-0.118%14 Aug →
mirage14–160.0120%14 Aug →
cache16–14-0.0115%5 Aug →
ancient9–13-0.0626%4 Aug →
cache8–13-0.0422%4 Aug →
inferno14–16-0.0316%3 Aug →
mirage7–13-0.0621%3 Aug →
mirage7–130.0916%3 Aug →
nuke13–5-0.0329%3 Aug →
anubis8–13-0.0318%2 Aug →
cache13–16-0.0421%2 Aug →
mirage13–8-0.0427%2 Aug →
mirage13–60.0313%31 Jul →
ancient11–13-0.0113%31 Jul →
mirage13–90.0321%30 Jul →
ancient1–6-0.040%30 Jul →
nuke13–9-0.0119%30 Jul →
mirage13–20.0117%30 Jul →
inferno4–13-0.0020%30 Jul →
cache9–13-0.0516%30 Jul →
mirage5–130.0133%29 Jul →
anubis11–130.1022%29 Jul →
cache8–13-0.0229%29 Jul →
cache10–13-0.0826%29 Jul →
mirage11–13-0.0442%28 Jul →
inferno13–3-0.009%28 Jul →
anubis2–13-0.0912%28 Jul →
mirage16–120.0011%28 Jul →
mirage0–3-0.100%28 Jul →
nuke13–9-0.0029%27 Jul →
inferno7–13-0.0429%27 Jul →
nuke6–00.0527%27 Jul →
cache8–130.0026%27 Jul →
mirage9–13-0.0417%27 Jul →
dust213–100.0018%27 Jul →
mirage13–40.0114%27 Jul →
mirage13–80.0832%27 Jul →
cache8–130.0220%27 Jul →
ancient11–13-0.0122%26 Jul →
ancient4–130.0233%26 Jul →
mirage13–60.0717%26 Jul →
inferno13–100.0015%26 Jul →
mirage19–150.0020%24 Jul →
mirage10–130.0121%24 Jul →
cache13–10.0431%24 Jul →
mirage8–130.0421%24 Jul →
ancient9–13-0.0519%24 Jul →
mirage13–9-0.0022%24 Jul →
inferno7–13-0.0722%24 Jul →
dust25–13-0.0114%24 Jul →
ancient9–13-0.0438%24 Jul →
mirage8–130.0318%23 Jul →
nuke13–8-0.0129%23 Jul →
mirage10–13-0.0513%23 Jul →
mirage15–15-0.0417%23 Jul →
ancient13–100.0321%23 Jul →
mirage13–00.0338%23 Jul →
nuke13–90.0023%23 Jul →
cache13–7-0.0227%23 Jul →
mirage13–50.0417%23 Jul →
cache1–8-0.0717%23 Jul →
mirage13–90.0418%22 Jul →
cache13–5-0.0320%22 Jul →
ancient10–13-0.0311%22 Jul →
mirage16–120.0113%22 Jul →
ancient13–6-0.0212%22 Jul →
cache13–5-0.0310%22 Jul →
mirage13–9-0.0316%22 Jul →
cache6–13-0.0130%22 Jul →
cache13–40.1122%22 Jul →
inferno13–60.0128%22 Jul →
ancient13–30.0416%22 Jul →
cache11–130.017%22 Jul →
mirage13–16-0.0024%21 Jul →
cache13–90.0131%21 Jul →
dust211–13-0.0224%20 Jul →
anubis8–13-0.0233%20 Jul →
mirage10–130.0519%20 Jul →
ancient13–40.1025%20 Jul →
mirage13–40.0332%20 Jul →
ancient9–130.0529%20 Jul →
inferno13–50.0425%20 Jul →
inferno13–70.0124%20 Jul →
mirage4–13-0.0717%20 Jul →
mirage6–13-0.0427%19 Jul →
mirage13–9-0.0326%19 Jul →
ancient13–80.0121%19 Jul →
cache13–11-0.0133%19 Jul →
mirage10–13-0.0126%19 Jul →
cache13–90.0120%19 Jul →
anubis11–13-0.046%19 Jul →
ancient13–100.0321%19 Jul →
cache13–110.0230%19 Jul →
cache15–15-0.0015%18 Jul →
anubis13–50.0215%18 Jul →

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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