Chiller

Chiller — CS2 Stats

DE76561198041977590[U:1:81711862]Steam profile ↗VAC banned

1,111Tracked matches54%Win rate2021Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating18,405Purple band · top ~14.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,111 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,405 +1,341 1 Aug – 15 Sept · 20 days played
15,70519,937peak 19,9371 Aug15 Sept
20,109Peak Premier in tracked matches
22Days played since 2026-08-01

Premier CS Rating

  • 1,532 below peak (19,937)
  • +2,160 over 30 days · improving
  • Next: Pink band at 20,000 — 1,595 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

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

Share this profile

CSDB.GGChillerFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER18,405 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning34
Utility43

0–100 skill scores via Leetify.

Recent form

COLD54–42–4Last 10054%Win rateTTWWLLWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.0pp headshot accuracy · +46ms reaction

Win rate down 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

  • 2–1–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 574ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 551ms

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).

Aim6.7
Utility4.3
Positioning3.4
Opening Duels0.7

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Reaction time. 561ms 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

Aim6.7
Positioning3.4
Utility4.3
Mechanics5.9
Opening Duels1.2
Win Impact6.2

Composite 5.0/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time559ms−74ms
first ⅓ avg 633ms → last ⅓ avg 559ms
Headshot accuracy17.0%+0.0%
first ⅓ avg 16.9% → last ⅓ avg 17.0%

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

0.10Best match rating · 13–1 · dust2, 3 Sept →
39%Best headshot accuracy · 11–13 · dust2, 2 Aug →
414msFastest reaction time · 13–11 · nuke, 10 Sept →
13–1Biggest win · dust2, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 64% over 14infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%-0.01
infernoC187–1139%-0.01
anubisA159–660%-0.00
ancientC146–843%-0.02
nukeA149–564%-0.00
cache—43–175%-0.01
mirage—31–233%-0.02
office—21–150%-0.06
train—11–0100%-0.02
shelter—11–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
44%Win rate
0.69Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

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.

16.2%Headshot accuracy
35.1%Accuracy (enemy spotted)
33.8%Spray accuracy
76.5%Counter-strafing
9.4°Preaim
561msReaction time
39.4%T opening success
28.6%CT opening success
0.65Enemies flashed / flash
3.0%Flash assists
11.72HE damage / grenade
3.18Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1789 — below the 4 mark we flag

    Grenade Lineups →
  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 39.4456% — 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.

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0112%14 Sept →
dust215–15-0.0211%14 Sept →
nuke13–50.0020%14 Sept →
dust213–40.0424%13 Sept →
inferno11–13-0.0210%13 Sept →
ancient11–13-0.0115%13 Sept →
nuke13–5-0.0216%13 Sept →
mirage2–13-0.0724%10 Sept →
ancient4–13-0.0615%10 Sept →
dust213–16-0.0714%10 Sept →
inferno11–130.0122%10 Sept →
nuke13–110.038%10 Sept →
anubis8–2-0.0220%10 Sept →
inferno13–100.0016%9 Sept →
dust21–13-0.097%9 Sept →
nuke13–100.0416%9 Sept →
dust213–10-0.0016%8 Sept →
anubis8–13-0.0017%8 Sept →
inferno3–13-0.0713%8 Sept →
dust213–7-0.0626%8 Sept →
inferno8–130.0438%8 Sept →
inferno4–13-0.0216%7 Sept →
ancient13–11-0.0127%6 Sept →
dust216–130.0517%6 Sept →
nuke13–50.0513%6 Sept →
cache13–6-0.057%6 Sept →
anubis13–70.0122%6 Sept →
dust25–13-0.0611%5 Sept →
inferno13–11-0.037%5 Sept →
dust24–13-0.0410%5 Sept →
ancient16–14-0.0219%5 Sept →
anubis14–16-0.0125%5 Sept →
inferno11–130.0224%4 Sept →
dust213–9-0.019%4 Sept →
ancient13–110.0627%4 Sept →
train13–2-0.026%4 Sept →
ancient15–150.0320%3 Sept →
anubis11–13-0.0223%3 Sept →
inferno13–90.0514%3 Sept →
nuke5–13-0.0715%3 Sept →
inferno6–13-0.0410%3 Sept →
dust213–10.1020%3 Sept →
dust213–100.0817%3 Sept →
nuke13–50.0619%30 Aug →
dust216–13-0.0521%30 Aug →
inferno13–5-0.019%30 Aug →
nuke8–13-0.0124%29 Aug →
ancient16–12-0.049%27 Aug →
dust215–15-0.0125%27 Aug →
anubis16–12-0.0514%23 Aug →
anubis13–11-0.0321%23 Aug →
nuke13–50.0222%23 Aug →
nuke7–13-0.0116%23 Aug →
inferno7–13-0.0134%23 Aug →
cache13–110.0721%23 Aug →
anubis11–130.0717%23 Aug →
dust27–13-0.0323%23 Aug →
cache13–11-0.0224%23 Aug →
ancient4–13-0.065%17 Aug →
dust213–100.0412%17 Aug →
dust213–100.0213%16 Aug →
ancient13–70.046%16 Aug →
anubis13–20.047%16 Aug →
nuke13–2-0.0410%16 Aug →
dust213–10.0513%16 Aug →
cache11–13-0.0512%16 Aug →
inferno13–4-0.0415%16 Aug →
nuke7–13-0.0412%16 Aug →
inferno13–9-0.0216%16 Aug →
anubis13–70.0835%16 Aug →
mirage10–13-0.0229%16 Aug →
ancient10–13-0.047%16 Aug →
dust28–130.0127%16 Aug →
ancient10–13-0.0510%16 Aug →
mirage13–100.0117%15 Aug →
inferno9–13-0.0416%14 Aug →
shelter13–30.0322%14 Aug →
dust27–13-0.1218%14 Aug →
office9–13-0.0813%7 Aug →
office7–0-0.0427%7 Aug →
anubis13–110.0116%7 Aug →
nuke13–90.0114%3 Aug →
dust25–130.0123%3 Aug →
dust213–100.0417%2 Aug →
dust213–7-0.0312%2 Aug →
dust213–50.0215%2 Aug →
ancient10–13-0.0114%2 Aug →
inferno10–130.0511%2 Aug →
dust213–110.0214%2 Aug →
anubis9–13-0.0511%2 Aug →
anubis13–4-0.0010%2 Aug →
dust29–13-0.0419%2 Aug →
anubis11–13-0.0412%2 Aug →
dust213–10-0.045%2 Aug →
dust211–13-0.0339%2 Aug →
inferno13–9-0.0021%2 Aug →
nuke1–13-0.0513%2 Aug →
inferno8–13-0.0321%2 Aug →
ancient13–10-0.0413%2 Aug →
anubis13–11-0.039%1 Aug →

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 →

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