CreepyCorner [Studying]

CreepyCorner [Studying] — CS2 Stats

CH76561198068199398[U:1:107933670]Steam profile ↗✓ No bans

951Tracked matches57%Win rate2020Tracked since
2,750Hours in CS
CSDB Rating6.4 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

+10Tracked matches · now 951
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

Premier CS Rating: 23,763 -305 10 Dec – 31 May · 23 days played
21,74724,096peak 24,09610 Dec31 May
24,401Peak Premier in tracked matches
49Days played since 2025-12-10

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate53.3%48.2%50.9%above
Shot accuracy15.8%13.2%13.7%above
Kill/death ratio0.991.071.090.10 short
Match win rate42.0%46.9%48.4%6.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCreepyCorner [Studying]FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim84
Positioning59
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLLWWWLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −0.7pp headshot accuracy · −114ms 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 17%
  • Avg reaction 452ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 463ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 520ms

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 (+1.9 against its own average).

Aim8.4
Utility3.8
Positioning5.9
Opening Duels3.1
Clutch3.4

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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.

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

Aim8.4
Positioning5.9
Utility3.8
Mechanics7.2
Opening Duels3.0
Win Impact7.2

Composite 6.4/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time544ms−55ms
first ⅓ avg 600ms → last ⅓ avg 544ms
Headshot accuracy20.1%−1.3%
first ⅓ avg 21.5% → last ⅓ avg 20.1%

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

0.11Best match rating · 7–13 · mirage, 16 Dec →
38%Best headshot accuracy · 13–2 · inferno, 20 May →
359msFastest reaction time · 3–13 · dust2, 3 Oct →
13–1Biggest win · ancient, 11 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 69% over 13dust2Weakest map · 40% over 30
MapGradePlayedRecordWin rateAvg rating
dust2C3012–1840%-0.02
infernoA1912–763%0.01
overpassS139–469%-0.01
ancientA127–558%-0.01
anubisC94–544%0.01
mirageC73–443%0.03
cacheC52–340%0.01
nuke—31–233%0.01
sanctum—10–10%-0.07
poseidon—10–10%0.06

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

125,124Lifetime kills
0.99K/D
5,599Matches
42.0%Match win rate
53.3%Headshot % · Top 50% of Level 9 players
15.8%Shot accuracy · Top 50% of Level 9 players
13,370MVPs
2,750Hours (in match)
4,149Bombs planted
1,695Bombs defused

Most-used weapons

AK-4756,566
AWP9,107
P2502,299
UMP-451,235
MP91,202

Lifetime map wins

12,945dust2
8,905inferno
1,522nuke
995cbble
995train
580vertigo
209office
85dust

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

Faceit stats

Combat

460Matches
53%Win rate
1.09Avg K/D
77.3ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2857%1.0215.2
Dust22857%1.1015.9
Mirage2339%0.8412.8
Ancient2339%0.9815.7
Inferno1867%1.0715.0
Overpass540%0.9916.6
Nuke540%1.0414.6
Cache10%1.0013.0

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.

19.6%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.7%Spray accuracy
82.2%Counter-strafing
8.5°Preaim
546msReaction time
37.9%T opening success
45.9%CT opening success
0.40Enemies flashed / flash
4.9%Flash assists
9.25HE damage / grenade
7.03Flashes / 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 0.398 — below the 0.5 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 37.8702% — 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
ancient7–13-0.0321%3 Oct →
dust23–13-0.0811%3 Oct →
cache8–130.0520%21 Sept →
inferno13–110.0415%21 Sept →
inferno13–110.0318%18 Sept →
inferno13–7-0.0517%13 Sept →
dust27–13-0.0736%13 Aug →
ancient13–7-0.0023%11 Aug →
ancient13–10.0624%11 Aug →
dust213–10-0.0119%11 Aug →
inferno13–70.0316%12 Jul →
anubis11–13-0.0219%12 Jul →
dust213–40.0925%12 Jul →
dust23–130.0532%12 Jul →
dust213–20.0230%11 Jul →
anubis13–9-0.0019%8 Jul →
inferno4–13-0.0613%2 Jul →
dust210–130.0427%31 May →
inferno16–130.0118%29 May →
anubis13–160.1011%22 May →
dust213–50.0328%22 May →
inferno7–13-0.0224%22 May →
overpass14–16-0.0518%21 May →
anubis13–8-0.0211%21 May →
dust214–16-0.0313%20 May →
inferno13–20.0238%20 May →
inferno16–140.0620%12 May →
dust213–90.0522%7 May →
cache13–11-0.049%29 Apr →
cache7–130.0117%29 Apr →
cache8–130.0410%29 Apr →
cache13–9-0.0127%29 Apr →
dust213–50.0016%22 Apr →
ancient13–110.0621%21 Apr →
inferno14–16-0.0615%15 Apr →
anubis13–7-0.0122%15 Apr →
ancient13–8-0.0215%15 Apr →
overpass13–4-0.0119%15 Apr →
mirage13–11-0.0316%8 Apr →
inferno13–50.0829%7 Apr →
overpass13–80.0313%6 Apr →
inferno12–16-0.0611%4 Apr →
ancient6–13-0.0523%2 Apr →
dust214–16-0.047%22 Mar →
mirage13–110.0616%20 Mar →
dust24–13-0.0316%20 Mar →
dust216–14-0.0514%19 Mar →
nuke7–130.0513%19 Mar →
dust214–160.0116%19 Mar →
overpass13–80.0223%18 Mar →
overpass9–13-0.088%18 Mar →
mirage10–130.039%18 Mar →
ancient9–130.0115%17 Mar →
dust21–13-0.155%16 Mar →
dust213–10-0.0712%15 Mar →
anubis13–70.0619%15 Mar →
inferno8–130.0116%13 Mar →
dust210–13-0.0616%13 Mar →
overpass13–11-0.0314%13 Mar →
dust213–70.0111%13 Mar →
anubis7–130.0212%13 Mar →
overpass13–8-0.0011%11 Mar →
dust210–13-0.0222%11 Mar →
overpass15–150.0015%11 Mar →
overpass13–100.0025%11 Mar →
mirage4–13-0.0226%18 Feb →
dust23–13-0.0617%18 Feb →
anubis15–150.0119%11 Feb →
dust213–8-0.0014%11 Feb →
inferno13–11-0.0515%11 Feb →
ancient3–13-0.0313%11 Feb →
nuke6–90.0316%10 Feb →
inferno9–60.1017%10 Feb →
inferno10–130.0525%10 Feb →
sanctum3–9-0.0731%10 Feb →
poseidon7–90.0632%10 Feb →
dust211–130.0433%10 Feb →
overpass16–14-0.0126%4 Feb →
ancient13–10-0.0331%4 Feb →
dust28–13-0.0123%4 Feb →
dust213–10-0.0120%4 Feb →
dust26–130.0117%31 Jan →
anubis8–13-0.0320%28 Jan →
inferno13–80.0822%28 Jan →
dust213–9-0.0023%28 Jan →
mirage16–130.0230%27 Jan →
dust210–13-0.0224%21 Jan →
nuke13–10-0.0728%21 Jan →
mirage12–120.0229%21 Jan →
overpass13–2-0.0026%7 Jan →
ancient13–6-0.0328%7 Jan →
inferno13–80.0513%7 Jan →
dust210–13-0.0514%31 Dec →
overpass13–10-0.0115%29 Dec →
dust27–13-0.0526%23 Dec →
mirage7–130.1121%16 Dec →
overpass11–13-0.0313%16 Dec →
ancient8–13-0.0718%10 Dec →
ancient13–8-0.0018%10 Dec →
inferno7–13-0.049%10 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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