NBAYoungFoid

NBAYoungFoid — CS2 Stats

PS76561199093758669[U:1:1133492941]Steam profile ↗✓ No bans

1,989Tracked matches46%Win rate2024Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating11,737Blue band · top ~45.7% of ranked players (population est.)
CSDB Leaderboard#9729 of 13638 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGNBAYoungFoidPREMIER11,737 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning45
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY42499Last 10042%Win rateLLWLWWWLWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.2
Aggression4.0
Utility2.6
Positioning4.5
Opening Duels0.0

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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 37 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

Aim8.2
Positioning4.5
Utility2.6
Mechanics6.4
Opening Duels0.3
Win Impact3.7

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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time553ms−37ms
first ⅓ avg 590ms → last ⅓ avg 553ms
Headshot accuracy15.9%−1.0%
first ⅓ avg 16.8% → last ⅓ avg 15.9%

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.

Highlights

0.23Best rating — office 13–6
132Biggest win — office
4Longest win streak
L2Current streak
55In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 5officeWeakest map · 33% over 46
MapGradePlayedRecordWin rateAvg rating
officeD46153133%0.02
vertigoB158753%0.02
nukeB137654%0.03
infernoB84450%0.04
cacheS54180%0.02
dust231233%0.01
anubis2020%0.01
italy21150%-0.01
overpass2020%-0.04
ancient21150%-0.04
fachwerk110100%-0.01
mirage1010%0.01

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.

15.7%Headshot accuracy
40.2%Accuracy (enemy spotted)
41.8%Spray accuracy
78.6%Counter-strafing
8.9°Preaim
539msReaction time
26.6%T opening success
32.4%CT opening success
0.22Enemies flashed / flash
6.8%Flash assists
8.13HE damage / grenade
2.62Flashes / 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 0.2184 — below the 0.5 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 26.5972% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
office10–130.016%27 Aug
office10–13-0.0117%27 Aug
office13–110.0822%26 Aug
office8–130.0018%26 Aug
vertigo13–30.119%26 Aug
vertigo13–60.087%26 Aug
office13–10-0.0313%24 Aug
office9–13-0.0610%24 Aug
office13–90.0223%24 Aug
office13–100.0315%24 Aug
vertigo5–13-0.052%24 Aug
office12–12-0.0213%24 Aug
office12–120.0417%19 Aug
dust28–130.0011%19 Aug
vertigo13–9-0.0520%17 Aug
office6–130.0021%17 Aug
office12–12-0.0419%17 Aug
cache12–12-0.0411%17 Aug
office3–13-0.0129%17 Aug
cache13–110.0017%17 Aug
office5–130.0228%17 Aug
office8–13-0.0328%12 Aug
vertigo7–13-0.1112%12 Aug
office13–20.0913%12 Aug
office13–50.0217%12 Aug
office8–13-0.0118%11 Aug
office13–70.0214%11 Aug
office7–130.0814%11 Aug
inferno9–13-0.0118%7 Aug
nuke13–40.119%7 Aug
nuke12–120.0114%7 Aug
inferno7–130.0122%7 Aug
office13–70.1318%26 Jul
office13–60.0811%23 Jul
fachwerk13–4-0.0112%13 Jul
nuke12–12-0.059%12 Jul
nuke13–20.0516%12 Jul
office5–13-0.0117%7 Jul
office9–130.1525%7 Jul
cache13–90.0321%6 Jul
vertigo13–10-0.0213%6 Jul
office10–13-0.0111%30 Jun
vertigo10–13-0.0113%27 Jun
vertigo9–130.0112%27 Jun
office4–130.016%27 Jun
inferno5–13-0.0219%27 Jun
anubis9–13-0.096%26 Jun
vertigo13–9-0.0216%22 Jun
vertigo10–13-0.0310%22 Jun
office10–13-0.0317%22 Jun
dust212–120.0218%22 Jun
office7–13-0.0231%22 Jun
vertigo10–130.0813%22 Jun
italy13–50.0628%22 Jun
vertigo13–30.0810%22 Jun
inferno13–50.1322%22 Jun
anubis5–130.1215%20 Jun
nuke6–13-0.0112%20 Jun
overpass10–13-0.0812%19 Jun
inferno16–130.0710%19 Jun
mirage8–130.0126%19 Jun
overpass14–160.0017%18 Jun
ancient3–13-0.0614%18 Jun
cache13–80.1118%18 Jun
office8–13-0.057%18 Jun
vertigo12–7-0.0010%18 Jun
office13–60.0315%18 Jun
nuke6–13-0.0119%18 Jun
nuke13–11-0.0219%18 Jun
ancient13–10-0.0120%18 Jun
nuke13–30.0621%18 Jun
dust213–110.0111%18 Jun
italy10–13-0.088%18 Jun
inferno3–13-0.0517%18 Jun
office8–130.1517%18 Jun
nuke12–120.0017%18 Jun
vertigo9–130.0414%18 Jun
nuke13–30.0617%17 Jun
office13–40.0514%17 Jun
inferno13–110.0211%17 Jun
office11–130.0230%17 Jun
nuke11–13-0.0115%17 Jun
office9–13-0.0217%17 Jun
nuke13–70.0811%17 Jun
inferno13–70.178%17 Jun
cache13–8-0.0120%17 Jun
nuke13–80.0817%16 Jun
office2–13-0.0612%16 Jun
office13–60.0816%16 Jun
office13–8-0.0628%16 Jun
office13–60.2315%15 Jun
vertigo13–50.1714%15 Jun
office0–13-0.0316%15 Jun
office10–130.0713%15 Jun
office12–120.0415%15 Jun
office11–130.0324%15 Jun
office13–60.0524%15 Jun
office11–13-0.0125%15 Jun
office10–130.0316%15 Jun
office6–13-0.0213%15 Jun

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 →