daddy young flix

daddy young flix — CS2 Stats

76561198036584351[U:1:76318623]Steam profile ↗✓ No bans

424Tracked matches62%Win rate2023Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
Premier CS Rating11,644Blue band · top ~46.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (6 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.

Rating over time

Premier CS Rating: 11,644 +1,118 24 Feb – 30 Oct · 39 days played
9,20014,454peak 14,45424 Feb30 Oct
14,454Peak Premier in tracked matches
55Days played since 2025-02-24

Premier CS Rating

  • 2,810 below peak (14,454)
  • -2,810 over 30 days · declining
  • -2,220 over 90 days
  • Next: Purple band at 15,000 — 3,356 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGdaddy young flixFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,644 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning47
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLWWLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +0.2pp headshot accuracy · −96ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 8%
  • Avg reaction 570ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 584ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 632ms

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.

Aim4.9
Utility4.4
Positioning4.7
Opening Duels4.0
Clutch3.2

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

device

Plays most like device 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 630ms 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

Aim4.9
Positioning4.7
Utility4.4
Mechanics5.4
Opening Duels3.8
Win Impact9.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time633ms−6ms
first ⅓ avg 639ms → last ⅓ avg 633ms
Headshot accuracy9.4%+1.0%
first ⅓ avg 8.5% → last ⅓ avg 9.4%

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

0.12Best match rating · 13–2 · ancient, 24 Mar →
31%Best headshot accuracy · 13–8 · dust2, 26 Sept →
469msFastest reaction time · 16–12 · inferno, 11 Oct →
13–2Biggest win · mirage, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 60% over 10mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageD165–1131%-0.01
infernoC166–1038%0.01
dust2B158–753%-0.00
nukeB157–847%0.00
ancientB137–654%0.02
anubisA106–460%0.02
cache—44–0100%0.03
train—43–175%0.02
vertigo—31–233%-0.02
overpass—32–167%0.04
grail—11–0100%0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

44Matches
48%Win rate
0.96Avg K/D
78.4ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%0.9613.1
Inferno978%1.3018.4
Cache757%0.9814.4
Anubis617%0.8212.5
Ancient425%0.7712.8
Vertigo333%0.8416.7
Overpass10%0.213.0
Nuke10%0.6511.0

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.

9.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
41.0%Spray accuracy
74.3%Counter-strafing
11.9°Preaim
630msReaction time
45.0%T opening success
45.7%CT opening success
0.44Enemies flashed / flash
3.7%Flash assists
8.79HE damage / grenade
7.26Flashes / 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 9.4987% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4362 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.086%31 Oct →
mirage6–13-0.056%30 Oct →
mirage13–20.0912%30 Oct →
inferno16–120.019%11 Oct →
vertigo7–130.066%2 Oct →
inferno13–9-0.0110%22 Aug →
dust210–13-0.019%21 Aug →
inferno13–10-0.0410%21 Aug →
anubis13–8-0.0111%21 Aug →
nuke10–130.0111%14 Aug →
inferno7–13-0.0410%10 Aug →
cache13–8-0.0212%10 Aug →
mirage9–13-0.080%10 Aug →
dust216–13-0.019%6 Aug →
dust213–10-0.0214%6 Aug →
mirage11–13-0.063%30 Jul →
mirage16–13-0.0012%22 Jul →
mirage13–9-0.018%22 Jul →
cache13–20.019%22 Jul →
mirage10–13-0.0310%22 Jul →
cache13–110.0414%21 Jul →
anubis15–150.077%21 Jul →
dust213–7-0.0111%20 Jul →
inferno8–13-0.0515%7 Jul →
vertigo5–13-0.0811%7 Jul →
vertigo13–10-0.0213%7 Jul →
nuke5–130.0113%5 Jul →
ancient13–60.0715%5 Jul →
overpass13–100.075%5 Jul →
anubis13–100.065%5 Jul →
ancient16–140.055%3 Jul →
dust210–130.0112%24 Jun →
anubis13–90.017%24 Jun →
ancient11–13-0.022%24 Jun →
ancient9–13-0.039%22 Jun →
mirage7–130.0211%19 Jun →
dust27–13-0.078%6 Jun →
mirage8–13-0.0321%3 Jun →
ancient3–130.0014%1 Jun →
mirage8–13-0.068%27 May →
overpass9–13-0.026%13 May →
nuke8–13-0.033%28 Oct →
inferno11–130.0613%28 Oct →
inferno6–13-0.045%10 Oct →
nuke5–13-0.0415%9 Oct →
nuke5–13-0.055%9 Oct →
ancient13–40.018%9 Oct →
inferno11–130.0510%7 Oct →
nuke13–70.0421%6 Oct →
mirage5–13-0.0219%6 Oct →
mirage16–140.0214%6 Oct →
nuke7–13-0.0410%6 Oct →
inferno1–8-0.027%6 Oct →
dust213–80.0031%26 Sept →
nuke13–110.0213%26 Sept →
overpass13–70.0814%26 Sept →
inferno16–120.0911%26 Sept →
ancient13–9-0.025%26 Sept →
inferno7–130.055%1 Sept →
anubis4–130.037%20 Aug →
dust213–40.0310%24 Jun →
anubis6–13-0.0710%11 Jun →
inferno15–15-0.028%11 Jun →
mirage8–13-0.0114%29 May →
inferno16–140.0313%22 May →
nuke13–11-0.0110%22 May →
grail13–90.0410%15 May →
inferno7–13-0.084%12 May →
anubis14–16-0.045%7 May →
train13–70.028%7 May →
inferno13–50.092%7 May →
dust213–8-0.010%7 May →
nuke14–16-0.0715%7 May →
train13–20.0512%7 May →
ancient13–110.067%7 May →
nuke11–20.0911%7 May →
ancient8–13-0.028%5 May →
mirage13–60.087%4 May →
nuke13–50.049%2 May →
train13–60.069%1 May →
dust22–13-0.037%1 May →
nuke13–5-0.012%1 May →
anubis13–80.036%1 May →
dust26–13-0.017%29 Apr →
ancient13–70.037%29 Apr →
dust213–20.057%23 Apr →
anubis13–70.046%8 Apr →
dust24–13-0.0411%27 Mar →
anubis13–90.0813%25 Mar →
nuke10–13-0.0015%25 Mar →
nuke13–80.067%24 Mar →
ancient13–20.1212%24 Mar →
train0–13-0.048%24 Mar →
dust213–30.085%17 Mar →
inferno14–16-0.0114%12 Mar →
ancient5–13-0.0112%11 Mar →
dust215–15-0.0110%11 Mar →
mirage14–160.0313%3 Mar →
ancient5–130.018%25 Feb →
mirage5–13-0.0510%24 Feb →

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 →

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