Iconic

Iconic — CS2 Stats

76561198139854261[U:1:179588533]Steam profile ↗✓ No bans

706Tracked matches55%Win rate2021Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 706 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,666 -1,450 3 Jun – 9 Apr · 17 days played
16,86521,957peak 21,9573 Jun9 Apr
21,957Peak Premier in tracked matches
38Days played since 2025-06-03

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

Share this profile

CSDB.GGIconicFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim53
Positioning55
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLWWWLWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · −19ms reaction

Win rate 0pp 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 -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

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 (+2 against its own average).

Aim5.3
Utility4.4
Positioning5.5
Opening Duels4.0
Clutch0.0

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

jL

Plays most like jL 87% 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim5.3
Positioning5.5
Utility4.4
Mechanics6.3
Opening Duels2.3
Win Impact6.7

Composite 5.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time613ms−28ms
first ⅓ avg 641ms → last ⅓ avg 613ms
Headshot accuracy14.8%+0.7%
first ⅓ avg 14.1% → last ⅓ avg 14.8%

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 · 13–4 · nuke, 19 Feb →
40%Best headshot accuracy · 13–16 · overpass, 5 Feb →
469msFastest reaction time · 13–6 · mirage, 12 Feb →
13–2Biggest win · mirage, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 72% over 18overpassWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%-0.00
infernoS1813–572%0.00
dust2C156–940%-0.00
ancientC114–736%-0.01
overpassD82–625%0.01
nukeB63–350%0.02
trainB63–350%0.01
anubis—43–175%0.02
cache—32–167%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

386Matches
52%Win rate
1.17Avg K/D
85.1ADR
35%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage683%1.0615.7
Ancient540%0.8613.4
Dust24100%1.4219.8
Inferno425%0.8113.0
Vertigo333%1.2017.0
Anubis1100%0.7720.0
Overpass1100%1.3324.0

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.

14.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.2%Spray accuracy
78.5%Counter-strafing
10.9°Preaim
617msReaction time
30.8%T opening success
47.3%CT opening success
0.53Enemies flashed / flash
11.0%Flash assists
13.32HE damage / grenade
4.57Flashes / 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 14.3448% — 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 30.8268% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.0318%12 Jul →
dust28–13-0.0210%12 Jul →
mirage13–4-0.0111%12 Jul →
cache7–13-0.086%12 Jul →
mirage13–3-0.0129%12 Jul →
mirage16–13-0.017%11 Jul →
cache13–40.0018%11 Jul →
dust211–13-0.0812%11 Jul →
mirage13–8-0.0127%11 Jul →
mirage11–13-0.0712%11 Jul →
cache13–9-0.019%11 Jul →
inferno13–100.0521%9 Apr →
inferno13–9-0.0512%30 Mar →
ancient13–5-0.0114%30 Mar →
mirage13–80.018%21 Feb →
mirage15–15-0.0115%21 Feb →
mirage10–13-0.0413%21 Feb →
inferno13–50.0216%20 Feb →
mirage7–130.0222%20 Feb →
overpass3–13-0.034%20 Feb →
ancient13–60.0715%20 Feb →
mirage9–13-0.0022%20 Feb →
nuke13–40.1810%19 Feb →
ancient8–130.0114%19 Feb →
dust213–80.0615%19 Feb →
mirage16–120.0713%15 Feb →
mirage11–130.0111%14 Feb →
mirage11–13-0.0521%14 Feb →
ancient10–13-0.0213%14 Feb →
nuke4–13-0.0416%14 Feb →
dust213–8-0.0023%13 Feb →
mirage13–60.0519%12 Feb →
inferno13–90.0413%9 Feb →
mirage13–7-0.0611%8 Feb →
inferno16–14-0.0111%6 Feb →
dust213–16-0.0125%6 Feb →
overpass13–16-0.0440%5 Feb →
ancient9–13-0.0325%5 Feb →
dust211–13-0.0318%5 Feb →
dust23–13-0.0227%5 Feb →
ancient13–5-0.0113%3 Feb →
anubis13–80.0318%29 Jan →
mirage10–130.0813%29 Jan →
overpass6–130.0418%29 Jan →
nuke13–90.0218%28 Jan →
dust29–13-0.0224%28 Jan →
inferno13–80.0411%27 Jan →
inferno4–13-0.1024%27 Jan →
overpass4–50.1230%27 Jan →
mirage13–6-0.0321%13 Jan →
overpass10–13-0.0319%13 Jan →
dust28–13-0.0225%13 Jan →
mirage11–13-0.0220%13 Jan →
mirage13–8-0.036%17 Nov →
train14–16-0.0113%21 Sept →
train13–50.1113%23 Aug →
mirage10–13-0.0317%23 Aug →
mirage13–70.0616%21 Aug →
nuke5–13-0.0216%21 Aug →
inferno4–3-0.0122%21 Aug →
inferno13–4-0.0533%20 Aug →
overpass10–13-0.0424%20 Aug →
nuke3–13-0.0613%20 Aug →
train13–80.046%20 Aug →
train11–130.007%20 Aug →
ancient4–13-0.0119%20 Aug →
inferno16–130.0110%20 Aug →
inferno7–13-0.0519%20 Aug →
inferno16–130.0723%15 Aug →
mirage13–2-0.016%26 Jul →
overpass13–70.0418%18 Jul →
mirage6–13-0.0213%18 Jul →
ancient11–13-0.027%18 Jul →
inferno11–130.015%17 Jul →
mirage13–7-0.0013%17 Jul →
mirage13–10-0.069%17 Jul →
overpass13–8-0.0112%16 Jul →
ancient7–13-0.0626%16 Jul →
dust27–13-0.038%16 Jul →
dust213–100.0315%16 Jul →
mirage13–50.0213%14 Jul →
mirage16–140.0018%14 Jul →
dust213–110.017%13 Jul →
ancient10–130.0015%13 Jul →
inferno13–100.0912%13 Jul →
mirage15–150.0017%13 Jul →
dust213–80.0820%13 Jul →
anubis13–50.0812%12 Jul →
mirage13–20.1220%12 Jul →
nuke13–80.0410%12 Jul →
anubis8–13-0.0215%12 Jul →
ancient13–60.0213%9 Jul →
inferno11–130.0123%9 Jul →
inferno9–13-0.006%9 Jul →
anubis13–10-0.0013%8 Jul →
inferno13–90.0513%3 Jul →
dust213–60.0513%3 Jul →
train3–13-0.0916%3 Jul →
dust28–13-0.0422%23 Jun →
train13–70.0214%3 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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