DADDY CHILL

DADDY CHILL — CS2 Stats

76561199413318007[U:1:1453052279]Steam profile ↗✓ No bans

85Tracked matches56%Win rate2024Tracked since
CSDB Rating6.2 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,514 -23 1 Apr – 22 Apr · 2 days played
13,51413,537peak 13,5371 Apr22 Apr
13,537Peak Premier in tracked matches
48Days played since 2024-01-28

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

Performance scores

Aim87
Positioning53
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY49–28–8Last 8558%Win rateLWLLLTWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −122ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 420ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 388ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 449ms

Newest first, from the last 85 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 (+1.2 against its own average).

Aim8.7
Utility2.9
Positioning5.3
Opening Duels4.1

Sharp aimerLimited 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

donk

Plays most like donk 87% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim8.7
Positioning5.3
Utility2.9
Mechanics6.6
Opening Duels3.8
Win Impact6.9

Composite 6.2/10 (Solid), 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 rating0.00−0.09
first ⅓ avg 0.09 → last ⅓ avg 0.00
Reaction time472ms+6ms
first ⅓ avg 465ms → last ⅓ avg 472ms
Headshot accuracy17.2%−4.7%
first ⅓ avg 21.9% → last ⅓ avg 17.2%

Rolling 5-match average across the last 85 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.21Best match rating · 13–5 · inferno, 31 Jan →
100%Best headshot accuracy · 13–3 · inferno, 25 Aug →
297msFastest reaction time · 13–3 · inferno, 25 Aug →
13–0Biggest win · nuke, 30 Mar →

Across the last 85 tracked matches.

Highlights

8Longest win streak
6–3In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 73% over 11nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.06
mirageA1911–858%0.05
ancientB158–753%0.04
anubisS118–373%0.04
dust2B84–450%0.05
nukeC52–340%0.07
grail—20–20%-0.04
overpass—21–150%0.06
cache—11–0100%0.07
jura—11–0100%-0.06
whistle—10–10%0.03
train—11–0100%0.08

Across the last 85 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.3%Headshot accuracy
37.8%Accuracy (enemy spotted)
37.1%Spray accuracy
79.9%Counter-strafing
6.4°Preaim
488msReaction time
41.8%T opening success
48.2%CT opening success
0.56Enemies flashed / flash
8.2%Flash assists
9.55HE damage / grenade
3.78Flashes / 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 3.7802 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0821%14 Jul →
inferno13–3-0.0319%22 Jun →
dust20–13-0.070%22 Jun →
inferno3–13-0.1019%15 Jun →
mirage5–130.0120%15 Jun →
nuke12–12-0.0014%15 Jun →
ancient2–00.000%15 Jun →
dust213–80.0619%14 Jun →
cache13–50.076%13 Jun →
mirage13–6-0.0167%13 Jun →
inferno13–5-0.0212%9 Jun →
mirage6–130.0216%9 Jun →
mirage13–40.0625%9 Jun →
mirage13–70.0524%9 Jun →
inferno12–120.089%8 Jun →
anubis4–13-0.0823%7 Jun →
ancient9–13-0.0216%18 Sept →
mirage7–13-0.0813%2 Jun →
grail8–130.0413%9 May →
jura6–4-0.0610%9 May →
grail4–13-0.128%9 May →
ancient8–13-0.0311%2 May →
anubis7–130.0312%2 May →
dust213–50.0632%2 May →
inferno13–5-0.0232%29 Apr →
anubis13–90.1119%27 Apr →
nuke13–50.1313%22 Apr →
ancient13–80.049%21 Apr →
inferno13–100.035%15 Apr →
nuke12–120.0417%12 Apr →
inferno13–70.020%12 Apr →
ancient0–20.000%12 Apr →
inferno4–130.048%10 Apr →
ancient12–120.1010%8 Apr →
anubis13–80.1112%7 Apr →
anubis13–90.0916%7 Apr →
ancient10–130.063%7 Apr →
dust25–13-0.0336%6 Apr →
ancient13–50.0319%6 Apr →
ancient5–130.0117%4 Apr →
nuke12–120.0613%4 Apr →
anubis13–60.0510%4 Apr →
inferno5–9-0.0119%1 Apr →
whistle6–90.0315%1 Apr →
ancient13–50.048%1 Apr →
inferno13–30.0810%1 Apr →
mirage8–13-0.0223%1 Apr →
anubis13–11-0.0113%31 Mar →
dust213–100.1314%30 Mar →
mirage13–30.069%30 Mar →
nuke13–00.139%30 Mar →
ancient13–80.0611%30 Mar →
anubis13–50.059%30 Mar →
dust212–120.0418%29 Mar →
mirage12–120.0218%27 Mar →
mirage13–110.1022%27 Mar →
ancient13–60.1110%18 Mar →
anubis13–110.0119%10 Jan →
mirage0–130.0245%10 Jan →
mirage4–130.0130%7 Jan →
anubis13–90.2013%7 Jan →
mirage13–30.1324%7 Jan →
train13–100.0814%7 Jan →
dust211–130.0622%4 Jan →
mirage6–0-0.0025%4 Jan →
inferno9–130.0916%1 Jan →
dust213–60.1622%1 Jan →
mirage7–130.0618%19 Dec →
ancient7–130.0610%12 Dec →
mirage13–50.1317%8 Dec →
ancient13–20.047%6 Nov →
ancient13–20.0523%16 Oct →
mirage13–40.1824%26 Aug →
inferno13–3-0.08100%25 Aug →
mirage13–30.1823%25 Aug →
inferno13–50.1424%22 Apr →
inferno13–110.0518%12 Apr →
overpass0–13-0.060%12 Apr →
mirage13–80.049%24 Mar →
inferno13–60.1332%21 Mar →
inferno12–120.1017%5 Mar →
inferno13–90.1322%2 Feb →
inferno13–50.213%31 Jan →
overpass13–20.1814%28 Jan →
inferno10–80.2021%28 Jan →

Match data via Leetify.

Recent teammates

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

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