CortisolSpike

CortisolSpike — CS2 Stats

NO76561198274186336[U:1:313920608]Steam profile ↗✓ No bans

2,145Tracked matches53%Win rate2022Tracked since
6,261Hours in CS
CSDB Rating6.0 SolidPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,145 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,134 -336 18 Apr – 5 Jul · 19 days played
26,43228,493peak 28,49318 Apr5 Jul
Faceit ELO: 2,376 +0 30 Aug – 15 Sept · 3 observations
2,3762,376peak 2,37630 Aug15 Sept
28,493Peak Premier in tracked matches
2,376Highest Faceit ELO seen on CSDB
37Days played since 2026-04-17

Faceit ELO

  • At peak — 2,376
  • Next: 2,500 ELO at 2,500 — 124 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate50%——
K/D1.03——
Headshot %57%——

Measured 30 Aug 2026 → 28 Sep 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.

Share this profile

CSDB.GGCortisolSpikePEAK ELO2,376csdb.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

Aim77
Positioning58
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLWLWWLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −9.3pp headshot accuracy · −27ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 571ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 585ms

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 (+1.5 against its own average).

Aim7.7
Utility4.8
Positioning5.8
Opening Duels2.8
Clutch4.0

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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. 588ms 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

Aim7.7
Positioning5.8
Utility4.8
Mechanics6.9
Opening Duels1.8
Win Impact6.1

Composite 6.0/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time588ms−14ms
first ⅓ avg 602ms → last ⅓ avg 588ms
Headshot accuracy24.8%+6.2%
first ⅓ avg 18.6% → last ⅓ avg 24.8%

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

0.18Best match rating · 9–4 · inferno, 28 Apr →
50%Best headshot accuracy · 1–4 · dust2, 23 Jun →
320msFastest reaction time · 7–9 · inferno, 13 May →
13–0Biggest win · mirage, 29 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 75% over 12anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B1910–953%0.01
mirageD165–1131%0.02
infernoA148–657%0.01
nukeA138–562%0.02
cacheB136–746%0.03
ancientS129–375%0.02
anubisD51–420%0.00
overpass—31–233%0.01
train—21–150%0.08
shelter—10–10%0.00
boulder—10–10%0.06
fachwerk—10–10%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,478Lifetime kills
1.51K/D · Top 5% of tracked players
3,977Matches
49.8%Match win rate · Top 25% of tracked players
53.8%Headshot % · Top 25% of tracked players
30.3%Shot accuracy · Top 1% of tracked players
20,146MVPs
6,261Hours (in match)
3,875Bombs planted
1,778Bombs defused

Most-used weapons

AK-4757,874
AWP8,629
MP92,648
MAC-102,197
SSG 081,596

Lifetime map wins

6,594inferno
6,146dust2
2,990nuke
2,338vertigo
819train
588office
325cbble
131lake

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

Faceit stats

Combat

270Matches
57%Win rate
1.20Avg K/D
85.4ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6751%1.2115.7
Anubis4448%1.2119.4
Inferno4356%1.0615.9
Ancient3863%1.0916.6
Dust23759%1.2416.4
Nuke2564%1.3619.2
Vertigo888%1.8420.6
Train475%1.0914.8

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.

25.1%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.9%Spray accuracy
80.9%Counter-strafing
9.8°Preaim
588msReaction time
30.3%T opening success
44.1%CT opening success
0.52Enemies flashed / flash
11.8%Flash assists
7.17HE damage / grenade
3.51Flashes / 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 3.5051 — 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 30.2793% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0527%10 Sept →
nuke9–13-0.0324%7 Sept →
mirage13–40.1221%28 Aug →
mirage14–160.0419%23 Aug →
inferno13–70.0917%23 Aug →
inferno13–110.0223%14 Jul →
shelter3–130.0030%9 Jul →
boulder8–130.0623%9 Jul →
fachwerk10–130.0629%9 Jul →
dust28–130.0120%5 Jul →
nuke13–110.0834%5 Jul →
mirage13–00.1324%29 Jun →
cache13–90.0433%27 Jun →
inferno4–13-0.0731%25 Jun →
mirage13–80.0536%24 Jun →
nuke5–13-0.0022%24 Jun →
nuke13–100.0240%23 Jun →
mirage8–13-0.0329%23 Jun →
dust21–4-0.0450%23 Jun →
nuke7–130.0326%23 Jun →
dust213–50.1020%16 Jun →
dust22–13-0.0418%9 Jun →
ancient13–70.0424%9 Jun →
mirage10–13-0.0228%9 Jun →
dust213–8-0.0120%9 Jun →
ancient11–13-0.0019%9 Jun →
mirage13–30.0220%4 Jun →
inferno3–9-0.0921%29 May →
overpass13–30.0233%29 May →
dust213–30.0522%25 May →
dust213–00.000%25 May →
anubis6–130.0118%20 May →
ancient13–5-0.0117%19 May →
ancient13–00.028%18 May →
anubis9–00.0419%18 May →
mirage13–5-0.0219%18 May →
mirage17–19-0.0418%13 May →
anubis10–13-0.0231%13 May →
ancient13–16-0.0214%13 May →
nuke6–130.0315%13 May →
inferno7–9-0.0631%13 May →
mirage8–13-0.0626%13 May →
cache10–13-0.0019%12 May →
dust29–13-0.0317%12 May →
mirage7–130.0729%12 May →
dust25–13-0.0116%12 May →
ancient5–13-0.0515%12 May →
nuke16–14-0.0320%8 May →
mirage6–130.0021%6 May →
inferno13–110.0332%6 May →
cache13–6-0.017%4 May →
inferno13–100.0422%4 May →
dust213–70.1320%2 May →
cache1–130.0219%2 May →
cache5–13-0.0311%1 May →
cache13–30.1340%30 Apr →
cache3–13-0.1111%29 Apr →
cache13–60.0126%29 Apr →
cache7–130.0623%29 Apr →
cache13–90.0622%29 Apr →
cache12–120.0325%29 Apr →
cache13–30.1425%29 Apr →
cache12–120.0927%28 Apr →
dust214–16-0.0119%28 Apr →
nuke0–2-0.030%28 Apr →
anubis3–13-0.0511%28 Apr →
inferno7–9-0.0115%28 Apr →
train13–40.1321%28 Apr →
train8–130.0321%28 Apr →
inferno9–40.1816%28 Apr →
ancient13–2-0.006%27 Apr →
inferno10–130.0115%27 Apr →
anubis8–130.0312%27 Apr →
mirage5–130.1015%27 Apr →
nuke13–100.1713%27 Apr →
dust212–12-0.0122%27 Apr →
mirage9–13-0.0122%26 Apr →
ancient13–10-0.0016%22 Apr →
nuke13–11-0.0111%22 Apr →
inferno13–110.0224%22 Apr →
ancient13–80.009%22 Apr →
nuke13–1-0.0315%22 Apr →
dust213–6-0.0424%22 Apr →
dust213–110.0117%21 Apr →
overpass7–130.0117%21 Apr →
mirage5–13-0.0811%21 Apr →
dust214–160.0126%21 Apr →
inferno16–13-0.0213%19 Apr →
ancient13–90.0416%19 Apr →
inferno13–30.0219%18 Apr →
dust213–90.0521%18 Apr →
overpass7–130.0017%18 Apr →
dust210–13-0.0117%18 Apr →
ancient13–40.0919%18 Apr →
dust213–60.0019%18 Apr →
mirage7–130.0029%18 Apr →
inferno15–150.0134%18 Apr →
nuke13–40.0629%18 Apr →
nuke13–80.0318%17 Apr →
ancient13–50.0929%17 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.