Hypercortisolism

Hypercortisolism — CS2 Stats

76561197997118469[U:1:36852741]Steam profile ↗✓ No bans

510Tracked matches27%Win rate2020Tracked since
CSDB Rating4.3 DevelopingSupport
Premier CS Rating14,481Blue band · top ~31.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (13 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: 14,481 -4,465 7 Jun – 4 Oct · 20 days played
12,52918,946peak 18,9467 Jun4 Oct
18,946Peak Premier in tracked matches
32Days played since 2026-06-07

Premier CS Rating

  • 4,465 below peak (18,946)
  • +1,491 over 30 days · improving
  • -2,405 over 90 days
  • Next: Purple band at 15,000 — 519 to go
  • Reached: Purple band · Blue band · Light Blue band

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

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Performance scores

Aim66
Positioning45
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY28–70–2Last 10028%Win rateLLLWLWWLWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · +41ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 610ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 585ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 565ms

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 (+2.2 against its own average).

Aim6.6
Utility4.6
Positioning4.5
Opening Duels0.4
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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 561ms 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
Positioning4.5
Utility4.6
Mechanics5.0
Opening Duels1.6
Win Impact0.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time563ms−51ms
first ⅓ avg 613ms → last ⅓ avg 563ms
Headshot accuracy11.9%−0.2%
first ⅓ avg 12.1% → last ⅓ avg 11.9%

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 · 13–3 · train, 2 Jul →
27%Best headshot accuracy · 13–5 · dust2, 3 Jul →
430msFastest reaction time · 6–13 · anubis, 29 Aug →
13–2Biggest win · nuke, 21 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 9% over 23
MapGradePlayedRecordWin rateAvg rating
ancientC2410–1442%-0.01
dust2D232–219%-0.04
anubisD144–1029%-0.02
nukeD111–109%-0.03
infernoD93–633%0.00
cacheD92–722%-0.01
overpassS64–267%-0.02
mirage—31–233%-0.02
train—11–0100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (9% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
62%Win rate
0.88Avg K/D
87.3ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Cache250%0.9216.0
Ancient1100%1.3316.0
Anubis10%0.6813.0

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.

12.1%Headshot accuracy
37.4%Accuracy (enemy spotted)
40.9%Spray accuracy
72.4%Counter-strafing
10.0°Preaim
561msReaction time
35.5%T opening success
36.9%CT opening success
0.51Enemies flashed / flash
2.2%Flash assists
9.58HE damage / grenade
6.34Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1305% — below the 15% mark we flag

    Aim Training →
  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 35.4801% — 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.

9% win rate across 23 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
anubis5–13-0.0919%4 Oct →
ancient9–130.0211%4 Oct →
ancient2–13-0.0412%4 Oct →
inferno13–30.076%27 Sept →
dust211–13-0.0122%20 Sept →
cache13–11-0.039%20 Sept →
mirage16–140.0214%19 Sept →
cache4–130.0110%19 Sept →
ancient13–70.033%19 Sept →
ancient7–13-0.0423%13 Sept →
cache9–13-0.0110%13 Sept →
dust210–13-0.0918%13 Sept →
anubis10–13-0.0613%7 Sept →
ancient2–13-0.0414%7 Sept →
nuke2–13-0.0714%7 Sept →
inferno13–100.0013%30 Aug →
anubis11–13-0.038%30 Aug →
dust210–13-0.038%29 Aug →
nuke5–13-0.0214%29 Aug →
anubis6–130.0413%29 Aug →
dust210–13-0.0713%29 Aug →
dust22–13-0.065%29 Aug →
anubis10–130.016%23 Aug →
nuke7–13-0.0413%16 Aug →
ancient13–11-0.0110%16 Aug →
cache2–13-0.0223%16 Aug →
dust20–13-0.0318%16 Aug →
ancient13–10-0.019%16 Aug →
nuke14–16-0.0510%16 Aug →
ancient16–120.038%16 Aug →
dust213–9-0.036%16 Aug →
nuke10–130.0614%9 Aug →
dust22–13-0.114%9 Aug →
inferno7–13-0.0218%9 Aug →
cache13–80.0011%9 Aug →
anubis13–8-0.035%9 Aug →
ancient7–13-0.0316%9 Aug →
cache8–13-0.0726%8 Aug →
cache5–13-0.0416%8 Aug →
anubis13–4-0.0116%8 Aug →
dust25–13-0.0318%8 Aug →
ancient8–130.0517%8 Aug →
ancient13–90.0114%2 Aug →
anubis5–130.0113%2 Aug →
dust25–13-0.0516%1 Aug →
anubis12–16-0.0610%1 Aug →
inferno11–130.0211%27 Jul →
cache15–15-0.019%26 Jul →
dust26–13-0.0410%24 Jul →
anubis13–8-0.034%24 Jul →
dust23–13-0.0818%18 Jul →
inferno8–13-0.0119%16 Jul →
anubis10–13-0.016%16 Jul →
nuke9–13-0.0311%16 Jul →
nuke13–160.0212%13 Jul →
ancient13–60.0115%13 Jul →
ancient8–13-0.0222%11 Jul →
ancient10–13-0.0710%11 Jul →
overpass16–120.0412%3 Jul →
dust213–50.0227%3 Jul →
ancient13–90.0211%3 Jul →
dust29–130.0118%3 Jul →
ancient8–13-0.025%3 Jul →
dust210–13-0.057%2 Jul →
train13–30.1114%2 Jul →
dust26–8-0.0610%2 Jul →
nuke9–13-0.029%1 Jul →
inferno5–130.0715%1 Jul →
overpass10–130.0322%27 Jun →
ancient4–13-0.1210%27 Jun →
dust28–13-0.0322%27 Jun →
inferno11–13-0.0613%27 Jun →
mirage3–13-0.008%21 Jun →
anubis13–5-0.025%21 Jun →
dust25–13-0.0614%21 Jun →
anubis13–16-0.028%21 Jun →
ancient10–13-0.019%21 Jun →
nuke13–2-0.0213%21 Jun →
inferno11–13-0.0318%20 Jun →
mirage7–13-0.078%20 Jun →
nuke7–13-0.085%20 Jun →
anubis15–150.0410%20 Jun →
dust28–13-0.066%20 Jun →
dust28–13-0.109%19 Jun →
overpass13–11-0.0417%19 Jun →
inferno13–6-0.0120%19 Jun →
ancient4–13-0.060%19 Jun →
overpass13–6-0.038%19 Jun →
ancient7–13-0.0415%14 Jun →
dust22–13-0.0324%14 Jun →
overpass13–11-0.047%14 Jun →
dust212–16-0.038%13 Jun →
overpass9–13-0.066%13 Jun →
ancient13–10-0.016%13 Jun →
dust28–13-0.0222%13 Jun →
nuke9–13-0.0217%13 Jun →
ancient11–13-0.028%13 Jun →
cache8–130.0421%11 Jun →
ancient13–90.0111%7 Jun →
ancient13–30.0017%7 Jun →

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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