CrazyDarkness ⛟

CrazyDarkness ⛟ — CS2 Stats

PL76561198173425270[U:1:213159542]Steam profile ↗✓ No bans

870Tracked matches21%Win rate2021Tracked since
CSDB Rating1.5 LearningPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 16 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 2,461 -491 16 Apr – 17 May · 17 days played
1,8853,229peak 3,22916 Apr17 May
3,229Peak Premier in tracked matches
30Days played since 2026-04-16

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

Performance scores

Aim12
Positioning39
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY30–68–2Last 10030%Win rateWLTLWLWLWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −17ms reaction

Win rate up 40pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 622ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 673ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 681ms

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 (+1.6 against its own average).

Aim1.2
Utility1.3
Positioning3.9
Opening Duels1.7

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

m0NESY

Plays most like m0NESY 64% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 680ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.2
Positioning3.9
Utility1.3
Mechanics0.0
Opening Duels1.6
Win Impact0.0

Composite 1.5/10 (Learning), 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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time688ms−24ms
first ⅓ avg 712ms → last ⅓ avg 688ms
Headshot accuracy12.3%−3.2%
first ⅓ avg 15.5% → last ⅓ avg 12.3%

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

0.05Best match rating · 13–4 · dust2, 3 May →
31%Best headshot accuracy · 14–16 · cache, 22 Aug →
422msFastest reaction time · 13–10 · inferno, 29 Apr →
13–4Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 43% over 7ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3815–2339%-0.04
infernoD184–1422%-0.06
nukeD113–827%-0.06
anubisC104–640%-0.05
mirageC73–443%-0.04
ancientD51–420%-0.04
cache—40–40%-0.08
office—40–40%-0.08
overpass—30–30%-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

5Matches
20%Win rate
0.70Avg K/D
—ADR
33%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

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.

13.0%Headshot accuracy
28.0%Accuracy (enemy spotted)
31.3%Spray accuracy
50.1%Counter-strafing
13.3°Preaim
680msReaction time
33.2%T opening success
39.7%CT opening success
0.25Enemies flashed / flash
0.0%Flash assists
5.76HE damage / grenade
0.68Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2908° — above the 12° mark we flag

    Aim Training →
  2. 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 12.9692% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2523 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–4-0.056%23 Sept →
inferno5–13-0.106%23 Sept →
dust215–15-0.0114%17 Sept →
dust210–13-0.074%17 Sept →
mirage13–11-0.029%17 Sept →
dust23–13-0.1217%15 Sept →
dust213–10-0.0417%15 Sept →
dust29–13-0.0211%9 Sept →
mirage13–5-0.0223%9 Sept →
mirage11–13-0.0911%8 Sept →
dust211–13-0.1222%8 Sept →
nuke6–13-0.117%8 Sept →
cache14–16-0.0731%22 Aug →
nuke3–13-0.090%22 Aug →
dust27–13-0.0811%16 Aug →
dust23–13-0.0521%16 Aug →
dust211–13-0.0215%15 Aug →
inferno9–13-0.0111%15 Aug →
dust28–13-0.025%11 Aug →
inferno9–13-0.1010%11 Aug →
inferno13–8-0.075%9 Aug →
dust28–130.0115%9 Aug →
cache9–13-0.0522%6 Aug →
mirage3–13-0.045%6 Aug →
cache10–13-0.0713%5 Aug →
nuke6–13-0.0212%5 Aug →
inferno13–16-0.0419%5 Aug →
anubis8–130.018%25 Jul →
dust216–12-0.0210%25 Jul →
dust28–13-0.0515%25 Jul →
overpass5–13-0.090%17 May →
inferno4–13-0.1013%17 May →
inferno11–13-0.0717%17 May →
dust213–10-0.0612%14 May →
anubis10–13-0.1115%7 May →
dust213–10-0.0416%7 May →
dust28–13-0.082%7 May →
dust25–13-0.0611%7 May →
inferno11–13-0.0615%7 May →
dust214–16-0.0213%6 May →
dust210–13-0.0917%6 May →
anubis13–9-0.0415%6 May →
dust29–2-0.0213%6 May →
nuke4–13-0.078%6 May →
anubis13–60.0512%5 May →
dust210–13-0.0615%5 May →
cache3–10-0.110%5 May →
inferno6–13-0.087%5 May →
nuke13–11-0.0120%5 May →
ancient8–13-0.0113%4 May →
nuke7–13-0.089%4 May →
dust216–130.0128%4 May →
dust213–6-0.0012%4 May →
nuke13–11-0.0319%3 May →
nuke13–70.046%3 May →
anubis16–13-0.0420%3 May →
overpass3–13-0.0510%3 May →
dust213–11-0.0221%3 May →
dust213–40.0525%3 May →
office5–13-0.0814%1 May →
ancient5–13-0.0812%1 May →
dust24–13-0.0413%1 May →
inferno7–13-0.0312%1 May →
dust23–13-0.0718%1 May →
dust22–13-0.077%1 May →
inferno4–13-0.0326%30 Apr →
office0–13-0.0611%30 Apr →
overpass5–13-0.0625%30 Apr →
dust28–130.0317%29 Apr →
anubis10–13-0.0914%29 Apr →
inferno13–100.0516%29 Apr →
dust210–13-0.086%29 Apr →
inferno14–16-0.0317%29 Apr →
anubis6–13-0.075%28 Apr →
nuke4–13-0.098%28 Apr →
ancient13–9-0.0112%28 Apr →
dust213–11-0.0522%28 Apr →
anubis16–14-0.0716%28 Apr →
dust210–13-0.0611%25 Apr →
inferno6–13-0.048%25 Apr →
nuke4–13-0.1418%25 Apr →
mirage13–11-0.0117%25 Apr →
dust23–13-0.0620%24 Apr →
mirage10–13-0.0111%19 Apr →
anubis7–13-0.1030%19 Apr →
mirage15–15-0.0620%19 Apr →
anubis10–130.0115%19 Apr →
inferno10–13-0.0319%19 Apr →
ancient5–13-0.052%19 Apr →
office7–13-0.0527%18 Apr →
inferno1–13-0.0820%18 Apr →
office1–13-0.110%18 Apr →
ancient7–13-0.0517%18 Apr →
dust213–4-0.0925%17 Apr →
dust213–110.0014%17 Apr →
nuke10–13-0.1014%17 Apr →
dust213–5-0.0720%17 Apr →
inferno13–10-0.0711%17 Apr →
inferno13–9-0.1110%16 Apr →
dust213–10-0.0522%16 Apr →

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 →