iqDEMON

iqDEMON — CS2 Stats

US76561197990880878[U:1:30615150]Steam profile ↗✓ No bans

348Tracked matches45%Win rate2020Tracked since
CSDB Rating4.0 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim32
Positioning50
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLWWWLWLLW

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · +2.2pp headshot accuracy · −59ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

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 (+1.2 against its own average).

Aim3.2
Utility4.0
Positioning5.0
Opening Duels3.6
Clutch2.6

Effective flashes

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

jL

Plays most like jL 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms 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

Aim3.2
Positioning5.0
Utility4.0
Mechanics5.6
Opening Duels2.7
Win Impact3.3

Composite 4.0/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time630ms−125ms
first ⅓ avg 755ms → last ⅓ avg 630ms
Headshot accuracy11.7%−3.7%
first ⅓ avg 15.5% → last ⅓ avg 11.7%

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

0.13Best match rating · 9–1 · mirage, 13 Jun →
33%Best headshot accuracy · 4–13 · mirage, 17 Jul →
469msFastest reaction time · 13–10 · anubis, 16 Aug →
13–2Biggest win · dust2, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 100% over 5dust2Weakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
mirageB3014–1647%-0.01
dust2C2511–1444%-0.01
nukeB2010–1050%-0.01
ancientA95–456%-0.02
infernoA53–260%-0.04
anubisS55–0100%0.03
cache—22–0100%-0.02
train—10–10%-0.02
shelter—10–10%-0.04
office—10–10%-0.04
vertigo—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
27%Win rate
0.54Avg K/D
57.4ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust240%0.6710.8
Mirage475%0.6210.0
Vertigo1100%0.6712.0
Nuke10%0.578.0
Anubis10%0.508.0

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.

11.7%Headshot accuracy
26.9%Accuracy (enemy spotted)
26.8%Spray accuracy
75.2%Counter-strafing
10.5°Preaim
624msReaction time
31.0%T opening success
50.9%CT opening success
0.76Enemies flashed / flash
3.1%Flash assists
8.46HE damage / grenade
5.32Flashes / 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 11.7353% — 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 30.9762% — 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.

44% win rate across 25 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
ancient5–13-0.0218%15 Nov →
dust27–13-0.0413%11 Nov →
mirage13–9-0.0210%14 Oct →
dust213–2-0.035%14 Oct →
mirage13–11-0.007%14 Oct →
train2–6-0.0218%10 Oct →
inferno9–7-0.0312%1 Oct →
dust210–13-0.0611%6 Sept →
mirage10–130.0419%5 Sept →
ancient13–9-0.0314%4 Sept →
nuke4–13-0.0516%30 Aug →
nuke9–13-0.049%25 Aug →
nuke11–130.028%21 Aug →
anubis13–100.078%16 Aug →
dust23–13-0.0217%6 Aug →
nuke2–12-0.076%6 Aug →
dust25–13-0.078%6 Aug →
mirage15–15-0.0315%5 Aug →
mirage11–13-0.040%5 Aug →
dust27–13-0.0117%5 Aug →
dust27–130.0113%4 Aug →
dust216–12-0.0113%4 Aug →
mirage13–4-0.017%4 Aug →
dust24–13-0.0420%4 Aug →
mirage11–13-0.0212%4 Aug →
ancient13–9-0.062%3 Aug →
mirage13–10-0.0315%3 Aug →
dust216–13-0.0414%2 Aug →
anubis13–10-0.0411%31 Jul →
nuke13–10-0.0516%31 Jul →
nuke13–90.0817%31 Jul →
nuke8–13-0.059%30 Jul →
mirage7–13-0.0412%30 Jul →
nuke6–13-0.1110%30 Jul →
ancient16–130.0216%30 Jul →
ancient13–100.009%29 Jul →
mirage6–13-0.0811%29 Jul →
nuke7–13-0.0620%29 Jul →
mirage6–13-0.0625%29 Jul →
dust213–100.0216%28 Jul →
ancient7–13-0.0124%28 Jul →
ancient6–13-0.0510%27 Jul →
anubis13–60.0310%27 Jul →
dust216–130.0713%25 Jul →
mirage13–3-0.039%25 Jul →
dust213–80.012%25 Jul →
mirage13–20.0413%25 Jul →
nuke10–13-0.0216%24 Jul →
mirage13–11-0.0416%24 Jul →
nuke8–13-0.034%23 Jul →
dust213–5-0.009%23 Jul →
cache13–9-0.027%23 Jul →
anubis13–60.0112%23 Jul →
dust24–13-0.0611%22 Jul →
mirage5–130.0113%22 Jul →
dust210–13-0.019%22 Jul →
cache13–10-0.029%22 Jul →
mirage13–30.0316%22 Jul →
nuke16–120.0111%22 Jul →
mirage13–90.0526%22 Jul →
dust213–50.0316%21 Jul →
mirage7–130.0023%20 Jul →
mirage16–130.0222%20 Jul →
dust27–13-0.0116%20 Jul →
nuke13–5-0.0112%20 Jul →
nuke1–13-0.1013%18 Jul →
mirage5–13-0.0532%18 Jul →
dust213–90.0014%18 Jul →
anubis13–40.0917%17 Jul →
dust23–130.0115%17 Jul →
mirage4–13-0.0533%17 Jul →
shelter6–13-0.046%9 Jul →
mirage9–130.0411%9 Jul →
nuke13–7-0.023%8 Jul →
office4–13-0.0414%8 Jul →
mirage12–16-0.0221%24 Jun →
inferno13–10-0.046%17 Jun →
vertigo11–13-0.0614%17 Jun →
dust23–40.0223%16 Jun →
inferno3–6-0.065%15 Jun →
mirage3–13-0.0325%15 Jun →
mirage13–30.0717%15 Jun →
nuke13–90.0429%15 Jun →
dust21–12-0.0720%15 Jun →
dust20–13-0.0830%15 Jun →
nuke13–30.1012%14 Jun →
ancient6–12-0.047%14 Jun →
ancient13–60.0524%13 Jun →
mirage13–70.0215%13 Jun →
mirage9–10.1313%13 Jun →
nuke13–50.118%13 Jun →
mirage10–13-0.0116%12 Jun →
nuke13–10-0.0110%11 Jun →
dust213–60.0724%11 Jun →
inferno8–80.0221%10 Jun →
mirage13–11-0.0118%24 May →
dust213–11-0.0113%23 May →
mirage12–16-0.0912%9 May →
nuke13–6-0.0114%2 May →
inferno12–2-0.070%2 May →

Match data via Leetify.

Recent teammates

Milestones

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

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