Mr. chill

Mr. chill — CS2 Stats

76561198191282547[U:1:231016819]Steam profile ↗✓ No bans

153Tracked matches46%Win rate2023Tracked since
327Hours in CS14Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating8,904Light Blue band · top ~60.1% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (8 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. 27 days played since 15 Jul 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: 8,904 +4,142 15 Jul15 Sept · 27 days played
4,6279,370peak 9,37015 Jul15 Sept
9,992Peak Premier in tracked matches
27Days played since 2026-07-15

Premier CS Rating

  • 466 below peak (9,370)
  • +2,185 over 30 days · improving
  • Next: Blue band at 10,000 1,096 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate38.5%39.9%41.9%3.4% short
Shot accuracy6.7%6.9%9.6%2.9% short
Kill/death ratio1.190.920.98above
Match win rate45.8%42.3%43.8%above

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

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

Share this profile

CSDB.GGMr. chillPREMIER8,904 · Light Blue 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

Aim72
Positioning59
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateWTWWLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −4.8pp headshot accuracy · +0ms reaction

Win rate up 20pp 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

  • 311 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 547ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 565ms

Last 20

  • 8102 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

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 PlayerPositioning stands above the rest of this profile (+2.5 against its own average).

Aim7.2
Utility1.2
Positioning5.9
Opening Duels4.0
Clutch2.6

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 554ms 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

Aim7.2
Positioning5.9
Utility1.2
Mechanics6.3
Opening Duels4.6
Win Impact3.8

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time560ms−92ms
first ⅓ avg 652ms → last ⅓ avg 560ms
Headshot accuracy15.4%+3.7%
first ⅓ avg 11.6% → last ⅓ avg 15.4%

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

0.14Best match rating · 11–13 · inferno, 13 Sept
28%Best headshot accuracy · 12–16 · mirage, 10 Sept
406msFastest reaction time · 11–13 · mirage, 1 Sept
13–0Biggest win · mirage, 9 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
79In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 62% over 21infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA2113862%0.01
mirageA2113862%0.02
infernoD1531220%-0.02
dust2A148657%-0.01
cacheA116555%0.02
ancientC94544%0.02
anubisB84450%0.02
eldorado1010%-0.30

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,552Lifetime kills
1.19K/D · Top 10% of Light Blue band
542Matches
45.8%Match win rate · Top 25% of Light Blue band
38.5%Headshot %
6.7%Shot accuracy
1,233MVPs
141Hours (in match)
406Bombs planted
125Bombs defused

Most-used weapons

Lifetime map wins

719dust2
612inferno
575nuke
70vertigo
19cbble
11ar_baggage
10train
9safehouse

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

Faceit stats

Combat

2Matches
50%Win rate
1.39Avg K/D
85.0ADR
30%Headshot %

Clutches & streaks

33%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%1.7816.0
Ancient10%1.0023.0

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.

15.3%Headshot accuracy
39.6%Accuracy (enemy spotted)
40.2%Spray accuracy
78.2%Counter-strafing
11.8°Preaim
554msReaction time
48.9%T opening success
48.0%CT opening success
0.18Enemies flashed / flash
0.0%Flash assists
6.19HE damage / grenade
0.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1841 — below the 0.5 mark we flag

    Grenade Lineups
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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.017%15 Sept
inferno8–8-0.0813%15 Sept
ancient13–100.017%15 Sept
mirage16–14-0.008%14 Sept
inferno6–9-0.0314%14 Sept
inferno11–130.148%13 Sept
dust24–13-0.0212%13 Sept
mirage9–13-0.0115%13 Sept
ancient13–110.0714%13 Sept
anubis13–60.0814%13 Sept
dust213–7-0.0119%13 Sept
mirage12–16-0.0028%10 Sept
cache2–13-0.0713%10 Sept
mirage10–13-0.0110%10 Sept
mirage8–130.0018%10 Sept
mirage6–13-0.0125%10 Sept
dust213–7-0.0614%10 Sept
anubis16–120.0613%9 Sept
inferno15–150.056%9 Sept
inferno9–13-0.0114%6 Sept
mirage13–110.0718%6 Sept
anubis15–150.0715%6 Sept
nuke11–13-0.0021%6 Sept
nuke13–20.0619%3 Sept
mirage7–13-0.0412%3 Sept
inferno9–4-0.0016%3 Sept
nuke13–90.0217%3 Sept
mirage13–11-0.0116%3 Sept
cache10–13-0.0225%1 Sept
mirage11–130.0319%1 Sept
nuke4–13-0.0520%1 Sept
dust213–40.0325%1 Sept
inferno6–9-0.1312%1 Sept
mirage10–130.0516%31 Aug
cache6–13-0.0727%31 Aug
nuke13–30.0119%31 Aug
inferno10–13-0.0312%31 Aug
mirage13–80.0118%31 Aug
mirage13–100.1412%31 Aug
nuke13–6-0.0114%31 Aug
mirage13–100.0113%30 Aug
nuke9–13-0.0216%30 Aug
cache7–13-0.049%30 Aug
dust213–40.035%27 Aug
nuke6–130.0910%27 Aug
dust26–130.0113%27 Aug
nuke11–130.0712%27 Aug
mirage13–7-0.0217%27 Aug
mirage13–11-0.034%27 Aug
mirage13–70.0321%25 Aug
nuke13–70.0013%25 Aug
inferno13–11-0.029%24 Aug
cache8–13-0.0510%24 Aug
cache13–60.0111%23 Aug
nuke15–150.0713%23 Aug
dust213–10-0.0110%23 Aug
cache13–50.0614%19 Aug
dust213–40.0411%19 Aug
dust210–13-0.0912%19 Aug
nuke2–1-0.0720%19 Aug
dust211–13-0.0116%17 Aug
dust22–13-0.0514%13 Aug
ancient13–60.0411%13 Aug
inferno5–13-0.0312%10 Aug
nuke13–80.0513%10 Aug
dust213–10-0.0114%10 Aug
dust213–70.0213%10 Aug
nuke13–5-0.0011%10 Aug
mirage13–00.0613%9 Aug
nuke13–60.0410%9 Aug
cache10–50.1122%9 Aug
ancient9–130.0411%6 Aug
mirage13–90.0717%6 Aug
nuke13–60.0616%6 Aug
anubis14–16-0.0211%5 Aug
ancient4–13-0.0412%5 Aug
cache13–20.1412%5 Aug
nuke8–8-0.0611%5 Aug
mirage13–70.015%5 Aug
anubis13–50.018%5 Aug
inferno11–13-0.018%1 Aug
anubis13–6-0.009%28 Jul
ancient6–130.117%28 Jul
inferno13–70.0110%28 Jul
nuke11–130.048%28 Jul
ancient10–13-0.0312%19 Jul
nuke13–0-0.0116%19 Jul
cache13–50.117%17 Jul
inferno6–130.018%16 Jul
nuke13–80.0514%16 Jul
anubis7–13-0.039%16 Jul
inferno5–9-0.0811%16 Jul
cache13–00.077%16 Jul
anubis14–160.0016%16 Jul
inferno8–8-0.1011%16 Jul
mirage13–100.1419%16 Jul
ancient10–13-0.0218%15 Jul
eldorado0–9-0.306%15 Jul
dust23–13-0.0518%15 Jul
ancient13–90.0511%15 Jul

Match data via Leetify.

Recent teammates

Milestones

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