Illusion of Choice

Illusion of Choice — CS2 Stats

76561198274661509[U:1:314395781]Steam profile ↗✓ No bans

719Tracked matches52%Win rate2025Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating14,816Blue band · top ~29.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 14,816 → 14,816
+6Tracked matches · now 719
+5.4ppWin rate · 46.4% → 51.8%

Rating over time

Premier CS Rating: 14,816 +845 19 Mar – 8 Sept · 23 days played
13,59418,543peak 18,54319 Mar8 Sept
18,543Peak Premier in tracked matches
32Days played since 2026-03-19

Premier CS Rating

  • 3,727 below peak (18,543)
  • +1,222 over 30 days · improving
  • -1,999 over 90 days
  • Next: Purple band at 15,000 — 184 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-08
  • Light Blue band first seen 2026-09-08

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

Share this profile

CSDB.GGIllusion of ChoicePREMIER14,816 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning44
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWTWWWWTLW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −1.1pp headshot accuracy · −46ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 619ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 609ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

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 (+1.5 against its own average).

Aim4.6
Utility5.9
Positioning4.4
Opening Duels3.0

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

jL

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 652ms 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

Aim4.6
Positioning4.4
Utility5.9
Mechanics5.5
Opening Duels2.2
Win Impact5.6

Composite 4.5/10 (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-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time647ms−15ms
first ⅓ avg 662ms → last ⅓ avg 647ms
Headshot accuracy15.6%−3.1%
first ⅓ avg 18.8% → last ⅓ avg 15.6%

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

0.26Best match rating · 9–0 · inferno, 8 Jun →
37%Best headshot accuracy · 8–13 · inferno, 18 Apr →
469msFastest reaction time · 13–7 · cache, 19 Aug →
13–1Biggest win · inferno, 1 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 65% over 40anubisWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoS4026–1465%0.01
nukeB2110–1148%0.01
anubisC208–1240%-0.02
cacheC94–544%-0.04
overpassA53–260%0.01
ancient—21–150%-0.05
dust2—20–20%-0.05
mirage—10–10%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy
33.6%Accuracy (enemy spotted)
34.3%Spray accuracy
74.8%Counter-strafing
12.1°Preaim
652msReaction time
34.1%T opening success
43.7%CT opening success
0.68Enemies flashed / flash
8.7%Flash assists
10.01HE damage / grenade
7.04Flashes / 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 12.0598° — above the 12° mark we flag

    Aim Training →
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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0423%27 Sept →
anubis13–60.0111%27 Sept →
inferno12–120.1017%24 Sept →
inferno13–6-0.037%24 Sept →
inferno13–5-0.0424%20 Sept →
inferno13–40.1217%19 Sept →
anubis13–70.0613%1 Sept →
mirage15–15-0.019%1 Sept →
cache14–16-0.0316%30 Aug →
ancient13–2-0.0119%30 Aug →
inferno13–90.0313%30 Aug →
nuke5–130.0115%19 Aug →
nuke5–13-0.0427%19 Aug →
cache13–70.0116%19 Aug →
inferno13–5-0.027%2 Aug →
dust26–13-0.0617%2 Aug →
anubis9–13-0.0722%1 Aug →
cache8–13-0.0217%1 Aug →
anubis6–13-0.129%1 Aug →
cache15–15-0.1125%1 Aug →
ancient4–13-0.0936%1 Aug →
inferno13–10.0517%1 Aug →
nuke6–130.023%28 Jul →
nuke13–60.0813%28 Jul →
cache13–8-0.0314%28 Jul →
cache11–13-0.0712%28 Jul →
anubis5–13-0.0711%22 Jul →
cache16–13-0.0218%22 Jul →
nuke11–13-0.0416%22 Jul →
inferno13–7-0.0514%18 Jul →
inferno10–13-0.025%18 Jul →
cache13–11-0.0619%18 Jul →
nuke13–50.0215%18 Jul →
cache14–16-0.0220%11 Jul →
inferno13–40.1016%11 Jul →
inferno8–130.0115%11 Jul →
nuke5–13-0.0213%11 Jul →
inferno16–14-0.0514%11 Jul →
overpass6–130.0315%5 Jul →
inferno13–7-0.0214%5 Jul →
anubis12–16-0.0416%5 Jul →
anubis9–13-0.0911%5 Jul →
inferno4–13-0.0915%27 Jun →
anubis10–130.0415%27 Jun →
anubis13–70.029%21 Jun →
dust211–13-0.046%21 Jun →
anubis8–13-0.075%21 Jun →
nuke5–13-0.0518%13 Jun →
overpass13–80.0325%13 Jun →
anubis8–130.0418%13 Jun →
overpass10–13-0.0815%13 Jun →
inferno8–80.0114%8 Jun →
inferno6–90.0111%8 Jun →
inferno9–00.2627%8 Jun →
anubis10–130.0219%6 Jun →
inferno13–5-0.0614%6 Jun →
inferno4–13-0.0318%6 Jun →
inferno7–13-0.0624%6 Jun →
inferno13–1-0.0233%29 May →
nuke13–9-0.019%29 May →
nuke13–9-0.0015%29 May →
nuke3–13-0.059%25 May →
anubis13–70.0213%25 May →
anubis13–11-0.0113%23 May →
inferno13–100.0516%20 May →
inferno9–40.0425%16 May →
inferno9–70.056%16 May →
inferno4–9-0.0923%16 May →
inferno13–50.0220%16 May →
nuke13–30.1017%16 May →
anubis9–13-0.0612%16 May →
anubis9–130.0421%2 May →
nuke13–4-0.0115%2 May →
inferno13–50.0419%2 May →
overpass13–110.0116%24 Apr →
nuke6–13-0.0316%23 Apr →
inferno13–5-0.0216%23 Apr →
inferno13–80.0213%18 Apr →
overpass13–50.0428%18 Apr →
nuke13–100.0213%18 Apr →
inferno10–13-0.0314%18 Apr →
inferno8–13-0.0237%18 Apr →
inferno13–11-0.067%13 Apr →
inferno13–7-0.075%13 Apr →
nuke11–130.0225%13 Apr →
inferno13–7-0.0114%21 Mar →
nuke13–70.0114%21 Mar →
anubis13–11-0.0421%21 Mar →
anubis13–90.0020%20 Mar →
anubis13–11-0.0216%20 Mar →
inferno10–130.0017%20 Mar →
inferno13–70.1429%19 Mar →
inferno13–70.0432%19 Mar →
nuke9–130.0117%19 Mar →
nuke8–130.0618%19 Mar →
anubis7–130.0319%19 Mar →
inferno13–5-0.0123%19 Mar →
nuke16–14-0.0119%19 Mar →
nuke13–30.0521%19 Mar →
inferno13–16-0.0121%19 Mar →

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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