Pretty Boy Floyd

Pretty Boy Floyd — CS2 Stats

76561199224697509[U:1:1264431781]Steam profile ↗

1,482Tracked matches48%Win rate2024Tracked since
CSDB Rating4.2 Developing
Premier CS Rating12,769Blue band · top ~40.2% of ranked players (population est.)
CSDB Leaderboard#17173 of 24950 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPretty Boy FloydFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,769 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLLWLLWWLLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression7.7
Utility4.3
Positioning5.8
Opening Duels3.7
Clutch5.0

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

ropz

Plays most like ropz 83% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 59% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim3.7
Positioning5.8
Utility4.3
Mechanics4.8
Opening Duels3.7
Win Impact4.4

Composite 4.2/10 (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 time644ms−22ms
first ⅓ avg 666ms → last ⅓ avg 644ms
Headshot accuracy11.4%−1.0%
first ⅓ avg 12.4% → last ⅓ avg 11.4%

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.

Highlights

0.16Best rating — inferno 13–3
132Biggest win — inferno
6Longest win streak
L2Current streak
136In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 71% over 7nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%-0.00
ancientA169756%0.01
infernoB137654%0.00
anubisC135838%-0.00
cacheA116555%-0.02
nukeC114736%-0.01
vertigoS75271%-0.04
office41325%0.03
dust232167%0.01
train110100%-0.01
overpass110100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches
39%Win rate
0.90Avg K/D
87.7ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage956%0.8714.3
Ancient425%0.8811.8
Inferno30%0.8113.0
Nuke367%1.0519.7
Train250%1.0018.0
Dust220%0.9214.5

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.

11.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.1%Spray accuracy
71.7%Counter-strafing
11.9°Preaim
648msReaction time
30.6%T opening success
59.1%CT opening success
0.52Enemies flashed / flash
2.3%Flash assists
8.09HE damage / grenade
6.96Flashes / 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 11.5306% — below the 15% mark we flag

    Aim Training
  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 30.6128% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–130.0216%29 Aug
ancient10–130.0113%29 Aug
inferno13–20.057%29 Aug
mirage11–13-0.087%16 Aug
anubis6–13-0.088%15 Aug
ancient13–80.1017%15 Aug
cache11–6-0.0422%15 Aug
mirage6–13-0.0412%15 Aug
anubis9–13-0.015%10 Aug
office13–40.1618%10 Aug
train13–6-0.0110%9 Aug
inferno11–130.0312%9 Aug
inferno5–90.0115%9 Aug
nuke13–11-0.075%9 Aug
mirage5–13-0.0211%9 Aug
anubis3–13-0.0210%9 Aug
nuke9–13-0.077%9 Aug
dust213–40.0219%8 Aug
mirage13–40.0317%8 Aug
ancient13–11-0.0114%8 Aug
ancient15–150.0212%8 Aug
dust213–60.0212%8 Aug
office10–130.034%8 Aug
vertigo2–4-0.080%8 Aug
cache6–13-0.0021%8 Aug
mirage13–16-0.049%6 Aug
cache13–11-0.0214%6 Aug
nuke9–13-0.069%5 Aug
mirage13–70.1110%5 Aug
ancient14–160.0111%3 Aug
nuke13–80.0712%3 Aug
anubis13–9-0.029%3 Aug
anubis13–20.046%3 Aug
dust210–13-0.0213%3 Aug
nuke13–16-0.0013%2 Aug
inferno16–12-0.048%2 Aug
ancient5–13-0.027%2 Aug
ancient13–11-0.0017%2 Aug
ancient13–11-0.0131%2 Aug
inferno13–11-0.0711%2 Aug
ancient13–110.0812%2 Aug
mirage8–13-0.037%2 Aug
mirage3–13-0.0610%2 Aug
cache13–80.0920%1 Aug
nuke13–110.0215%1 Aug
cache2–13-0.130%1 Aug
ancient13–11-0.0213%1 Aug
cache2–13-0.0910%1 Aug
anubis13–110.0219%1 Aug
mirage13–50.0116%1 Aug
nuke13–11-0.035%1 Aug
inferno13–7-0.047%31 Jul
cache13–9-0.068%31 Jul
inferno13–30.1613%31 Jul
ancient6–130.0411%31 Jul
cache13–7-0.0416%31 Jul
ancient9–130.019%31 Jul
mirage13–60.088%31 Jul
anubis13–50.0915%31 Jul
mirage13–70.0612%30 Jul
cache13–110.0710%30 Jul
inferno10–13-0.009%29 Jul
mirage13–60.0613%29 Jul
mirage9–13-0.0112%26 Jul
cache4–13-0.0315%26 Jul
vertigo7–13-0.059%26 Jul
nuke8–130.0315%26 Jul
anubis13–60.046%25 Jul
mirage6–13-0.049%25 Jul
anubis3–13-0.0510%20 Jul
office9–13-0.039%13 Jul
anubis7–13-0.004%13 Jul
nuke15–15-0.0018%11 Jul
mirage13–50.0118%11 Jul
cache11–13-0.0210%11 Jul
anubis12–12-0.0316%8 Jul
vertigo13–6-0.0012%8 Jul
office12–12-0.0217%4 Jul
vertigo13–6-0.0013%4 Jul
vertigo13–10-0.0616%3 Jul
mirage5–13-0.0921%30 Jun
overpass13–100.0213%27 Jun
ancient13–10-0.036%27 Jun
mirage11–13-0.0513%18 Jun
inferno13–30.0113%18 Jun
mirage13–80.0112%17 Jun
nuke4–130.0213%17 Jun
anubis11–130.0610%17 Jun
mirage5–13-0.034%17 Jun
ancient13–9-0.0310%14 Jun
inferno6–13-0.0625%14 Jun
ancient13–90.0015%14 Jun
inferno10–13-0.0514%13 Jun
anubis6–13-0.1018%13 Jun
ancient10–13-0.035%13 Jun
inferno8–130.019%13 Jun
nuke7–13-0.0610%13 Jun
inferno13–70.0316%13 Jun
vertigo5–11-0.0715%12 Jun
vertigo13–80.0210%12 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 →