iLone

iLone — CS2 Stats

76561198370313098[U:1:410047370]Steam profile ↗✓ No bans

1,103Tracked matches32%Win rate2020Tracked since
1,875Hours in CS8Hrs last 2 wks
CSDB Rating3.7 LearningSupport
Premier CS Rating15,915Purple band · top ~24.8% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 47 days played since 18 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,915 +516 18 Apr17 Sept · 21 days played
13,64817,514peak 17,51418 Apr17 Sept
17,514Peak Premier in tracked matches
47Days played since 2026-04-18

Premier CS Rating

  • 1,599 below peak (17,514)
  • -1,223 over 30 days · declining
  • Next: Pink band at 20,000 4,085 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=36,319), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate32.5%44.3%46.9%14.5% short
Shot accuracy10.1%11.8%13.0%2.9% short
Kill/death ratio1.291.031.08above
Match win rate46.5%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGiLonePREMIER15,915 · Purple bandcsdb.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

Aim43
Positioning38
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43489Last 10043%Win rateWLWLWLWLWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −3.7pp headshot accuracy · +28ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 655ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 631ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

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: SupportUtility contribution stands above the rest of this profile (+2.6 against its own average).

Aim4.3
Utility5.8
Positioning3.8
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 72% 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

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

Aim4.3
Positioning3.8
Utility5.8
Mechanics4.9
Opening Duels0.0
Win Impact0.0

Composite 3.7/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time622ms−71ms
first ⅓ avg 692ms → last ⅓ avg 622ms
Headshot accuracy14.3%−2.0%
first ⅓ avg 16.3% → last ⅓ avg 14.3%

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

0.10Best match rating · 13–0 · cache, 9 May
46%Best headshot accuracy · 6–13 · dust2, 25 Jul
406msFastest reaction time · 13–8 · mirage, 22 Jul
13–0Biggest win · cache, 9 May

Across the last 100 tracked matches.

Highlights

5Longest win streak
57In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 57% over 28infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
cacheA28161257%-0.00
mirageC2181338%-0.02
infernoD1321115%-0.05
dust2C125742%-0.01
nukeA116555%-0.02
anubisD51420%-0.04
ancient42250%-0.04
train21150%0.02
office21150%-0.07
vertigo110100%0.08
overpass1010%-0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,278Lifetime kills
1.29K/D · Top 25% of Purple band
2,340Matches
46.5%Match win rate · Top 50% of Purple band
32.5%Headshot %
10.1%Shot accuracy
5,974MVPs
1,012Hours (in match)
3,247Bombs planted
813Bombs defused

Most-used weapons

AK-4715,790
AWP6,340
P901,569
MP91,418
MAC-101,354
XM10141,187

Lifetime map wins

4,530inferno
3,103dust2
2,500nuke
1,348train
787vertigo
359office
169cbble
135italy

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

Skill profile

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

13.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
30.8%Spray accuracy
72.2%Counter-strafing
10.1°Preaim
617msReaction time
21.4%T opening success
25.9%CT opening success
0.74Enemies flashed / flash
4.3%Flash assists
8.83HE damage / grenade
11.55Flashes / 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 13.1699% — 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 21.4208% — below the 40% mark we flag

Spend your practice time on Inferno

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–60.0610%20 Sept
dust29–13-0.022%20 Sept
anubis13–5-0.038%17 Sept
dust214–16-0.0211%17 Sept
dust213–50.009%16 Sept
mirage3–13-0.0111%12 Sept
inferno13–1-0.0621%8 Sept
inferno4–130.0229%7 Sept
dust213–10-0.0116%7 Sept
nuke13–80.0527%7 Sept
dust25–13-0.0625%7 Sept
cache16–14-0.0213%6 Sept
anubis8–13-0.0512%6 Sept
vertigo9–00.0844%6 Sept
mirage1–130.0123%5 Sept
dust25–13-0.0119%5 Sept
cache2–13-0.007%5 Sept
dust216–140.0112%5 Sept
inferno6–13-0.0517%5 Sept
nuke15–15-0.0312%5 Sept
mirage3–13-0.057%4 Sept
inferno9–13-0.059%1 Sept
mirage11–13-0.0121%1 Sept
mirage14–16-0.0311%29 Aug
mirage9–13-0.098%29 Aug
cache2–13-0.0612%27 Aug
ancient11–13-0.097%25 Aug
mirage9–13-0.0512%21 Aug
cache13–10-0.057%18 Aug
mirage12–12-0.0211%13 Aug
anubis3–13-0.1016%13 Aug
inferno8–13-0.0313%8 Aug
mirage11–13-0.029%8 Aug
train12–12-0.039%6 Aug
nuke12–12-0.0826%4 Aug
train13–80.0725%31 Jul
cache12–160.0514%31 Jul
cache8–13-0.0511%30 Jul
cache13–80.0512%29 Jul
mirage13–100.0215%29 Jul
ancient13–110.0413%29 Jul
dust22–13-0.0518%29 Jul
nuke10–130.0015%28 Jul
dust215–150.0418%28 Jul
mirage13–6-0.0027%27 Jul
mirage13–70.0116%27 Jul
nuke13–1-0.068%27 Jul
nuke13–9-0.0216%26 Jul
cache16–13-0.0314%26 Jul
mirage0–13-0.0418%26 Jul
ancient15–15-0.078%25 Jul
inferno6–13-0.0816%25 Jul
cache13–7-0.0316%25 Jul
dust26–13-0.0146%25 Jul
mirage13–11-0.0635%24 Jul
nuke13–7-0.075%24 Jul
mirage13–8-0.0618%22 Jul
mirage13–5-0.017%21 Jul
dust213–60.0918%18 Jul
inferno8–13-0.0511%16 Jul
inferno13–10-0.056%14 Jul
mirage15–150.0113%14 Jul
inferno6–13-0.0331%13 Jul
cache13–50.058%13 Jul
inferno7–13-0.0911%12 Jul
mirage13–20.030%12 Jul
nuke3–13-0.0512%28 Jun
inferno10–13-0.084%28 Jun
office13–10-0.0820%4 Jun
mirage12–12-0.0513%2 Jun
cache13–4-0.0323%2 Jun
ancient13–11-0.0515%2 Jun
cache13–90.0240%25 May
anubis11–13-0.0325%25 May
cache10–13-0.050%22 May
office12–12-0.0613%22 May
cache13–50.0316%22 May
cache10–130.0520%13 May
cache13–50.0223%13 May
cache13–5-0.0113%9 May
cache8–13-0.0316%9 May
cache13–10-0.0326%9 May
cache13–30.0820%9 May
cache13–00.1027%9 May
cache13–9-0.027%9 May
cache9–00.0414%9 May
overpass0–13-0.1215%3 May
cache9–130.0311%2 May
cache7–13-0.0421%2 May
cache7–13-0.108%2 May
cache10–130.0310%2 May
cache3–13-0.0613%2 May
mirage4–13-0.0027%23 Apr
inferno3–13-0.0413%21 Apr
inferno8–13-0.0611%20 Apr
anubis6–130.0316%18 Apr
dust213–7-0.0510%18 Apr
mirage13–8-0.0315%18 Apr
nuke13–4-0.0721%18 Apr
nuke11–130.0211%18 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →