Chuck Loon

Chuck Loon — CS2 Stats

76561198217670620[U:1:257404892]Steam profile ↗✓ No bans

190Tracked matches66%Win rate2021Tracked since
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating24,604Top 25% of 212,910 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)
CSDB Leaderboard#26926 of 259623 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 190 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,604 +7,288 29 May – 20 Sept · 13 days played
17,31624,706peak 24,70629 May20 Sept
24,706Peak Premier in tracked matches
39Days played since 2025-05-29

Premier CS Rating

  • 102 below peak (24,706)
  • Next: Red band at 25,000 — 396 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

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

Share this profile

CSDB.GGChuck LoonPREMIER24,604 · Pink bandcsdb.gg/stats

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Performance scores

Aim60
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY65–31–4Last 10065%Win rateTLWWLWLLLW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −2.5pp headshot accuracy · +13ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 611ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 651ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.0
Utility6.1
Positioning5.9
Opening Duels4.0

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 80% 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. 643ms 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

Aim6.0
Positioning5.9
Utility6.1
Mechanics6.7
Opening Duels3.3
Win Impact10.0

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time644ms−6ms
first ⅓ avg 650ms → last ⅓ avg 644ms
Headshot accuracy21.0%+5.9%
first ⅓ avg 15.2% → last ⅓ avg 21.0%

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

0.15Best match rating · 13–8 · train, 27 Jun →
36%Best headshot accuracy · 1–13 · anubis, 28 May →
453msFastest reaction time · 1–13 · train, 16 Jul →
13–0Biggest win · mirage, 30 Apr →

Across the last 100 tracked matches.

Highlights

10Longest win streak
8–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 75% over 8trainWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S1913–668%0.01
mirageS1410–471%0.03
anubisA138–562%-0.01
infernoA117–464%0.01
ancientS107–370%0.00
trainB105–550%0.02
nukeS86–275%0.01
overpassA85–363%0.02
cacheB63–350%0.04
italy—11–0100%0.02

Across the last 100 tracked matches.

Skill profile

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

20.4%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.9%Spray accuracy
80.1%Counter-strafing
11.4°Preaim
643msReaction time
38.1%T opening success
48.5%CT opening success
0.71Enemies flashed / flash
6.3%Flash assists
9.30HE damage / grenade
6.87Flashes / 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

    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 38.142% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache12–120.0330%7 Jul →
cache11–13-0.0220%7 Jul →
anubis13–30.0427%7 Jul →
cache13–20.0318%31 May →
anubis6–13-0.0615%31 May →
dust213–60.0218%28 May →
ancient6–13-0.0012%28 May →
anubis1–13-0.0436%28 May →
cache7–130.0212%17 May →
dust213–50.0517%17 May →
inferno8–130.0717%30 Apr →
dust213–50.0323%30 Apr →
mirage13–0-0.0222%30 Apr →
cache13–60.0536%30 Apr →
inferno13–5-0.0316%30 Apr →
cache13–50.1130%30 Apr →
dust20–13-0.0629%30 Apr →
dust213–6-0.0020%30 Apr →
dust22–13-0.0718%30 Apr →
ancient13–8-0.0620%22 Apr →
dust213–50.0220%22 Apr →
mirage4–50.0632%22 Apr →
anubis13–80.0214%22 Apr →
nuke13–80.0428%9 Apr →
mirage13–40.0218%1 Apr →
mirage13–70.0912%1 Apr →
anubis11–13-0.0617%30 Mar →
mirage13–110.0819%22 Mar →
mirage13–9-0.0319%22 Mar →
dust213–50.038%22 Mar →
ancient13–110.0920%19 Mar →
dust213–40.0330%16 Mar →
overpass7–130.0421%16 Mar →
dust213–30.0626%29 Jan →
ancient13–80.0417%12 Jan →
inferno13–40.0319%30 Nov →
dust211–13-0.0514%9 Oct →
train15–150.0114%9 Oct →
overpass7–13-0.0216%8 Oct →
dust213–20.0112%25 Sept →
overpass13–30.0315%25 Sept →
inferno12–12-0.0116%19 Sept →
anubis13–70.0127%21 Aug →
overpass13–20.0522%21 Aug →
anubis6–13-0.0514%21 Aug →
inferno13–40.0522%21 Aug →
nuke13–90.0229%5 Aug →
dust28–13-0.0218%5 Aug →
train1–130.0228%24 Jul →
mirage9–130.0913%24 Jul →
nuke13–40.1025%24 Jul →
overpass13–8-0.0317%24 Jul →
anubis13–60.0123%18 Jul →
train1–13-0.1313%16 Jul →
dust24–10.0435%16 Jul →
mirage16–14-0.0219%16 Jul →
overpass13–60.0212%16 Jul →
mirage6–130.0014%13 Jul →
nuke7–13-0.0022%27 Jun →
mirage13–50.0312%27 Jun →
train13–80.1518%27 Jun →
inferno10–130.0315%27 Jun →
train9–13-0.0415%25 Jun →
inferno13–11-0.0124%24 Jun →
train13–9-0.0214%22 Jun →
ancient8–130.0319%20 Jun →
anubis8–130.0014%20 Jun →
ancient1–13-0.1310%20 Jun →
mirage7–13-0.0523%19 Jun →
inferno9–130.0412%19 Jun →
dust213–11-0.0116%19 Jun →
ancient13–8-0.0313%16 Jun →
dust213–40.0426%16 Jun →
anubis13–70.0115%16 Jun →
ancient13–90.0122%13 Jun →
inferno13–8-0.025%5 Jun →
nuke2–0-0.020%5 Jun →
dust28–13-0.0713%5 Jun →
overpass6–13-0.0117%4 Jun →
inferno13–10-0.0114%4 Jun →
ancient13–90.0416%4 Jun →
train13–30.0621%4 Jun →
train4–130.0518%3 Jun →
mirage13–110.0111%3 Jun →
anubis13–60.038%3 Jun →
nuke13–9-0.0220%3 Jun →
ancient13–90.0412%3 Jun →
dust214–160.0318%3 Jun →
anubis13–20.0718%3 Jun →
nuke15–150.0017%3 Jun →
italy13–90.0213%2 Jun →
mirage16–120.0914%2 Jun →
train13–50.0121%2 Jun →
mirage13–60.0720%2 Jun →
overpass13–70.1015%2 Jun →
inferno13–80.0011%1 Jun →
train6–00.1220%1 Jun →
dust213–30.0517%1 Jun →
anubis13–8-0.0611%1 Jun →
nuke16–14-0.0413%29 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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