Saint Floyd of Fentanyl

Saint Floyd of Fentanyl — CS2 Stats

76561198060159831[U:1:99894103]Steam profile ↗VAC banned

139Tracked matches50%Win rate2023Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating18,182Purple band · top ~15.7% of ranked players (population est.)
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). 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: 18,182 +1,495 26 Feb – 30 Sept · 11 days played
14,52918,182peak 18,18226 Feb30 Sept
18,182Peak Premier in tracked matches
56Days played since 2024-01-28

Premier CS Rating

  • At peak — 18,182
  • Next: Pink band at 20,000 — 1,818 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGSaint Floyd of FentanylPREMIER18,182 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning57
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateWWWLLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +0.0pp headshot accuracy · −31ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 498ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 459ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 474ms

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 Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.2
Utility5.3
Positioning5.7
Opening Duels1.1

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

sh1ro

Plays most like sh1ro 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 49% on T to 29% on CT — first contacts on the defending side are being lost.

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
Positioning5.7
Utility5.3
Mechanics5.8
Opening Duels2.4
Win Impact5.0

Composite 5.7/10 (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 rating0.01−0.06
first ⅓ avg 0.07 → last ⅓ avg 0.01
Reaction time494ms−21ms
first ⅓ avg 515ms → last ⅓ avg 494ms
Headshot accuracy11.2%−0.9%
first ⅓ avg 12.0% → last ⅓ avg 11.2%

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

0.40Best match rating · 9–0 · dogtown, 11 Jul →
75%Best headshot accuracy · 3–0 · cache, 3 Sept →
328msFastest reaction time · 9–7 · dogtown, 19 Jul →
13–0Biggest win · ancient, 27 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
9–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dogtownBest map · 83% over 12dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA159–660%0.02
nukeC146–843%0.03
dogtownS1210–283%0.12
cacheA116–555%0.03
dust2D113–827%-0.00
anubisB84–450%0.02
mirageA85–363%0.04
vertigoB84–450%0.08
mementoS75–271%0.10
ancient—43–175%0.06
overpass—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 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.

11.2%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.1%Spray accuracy
76.0%Counter-strafing
8.1°Preaim
518msReaction time
48.9%T opening success
28.9%CT opening success
0.57Enemies flashed / flash
7.6%Flash assists
13.12HE damage / grenade
5.27Flashes / 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 11.2395% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.9436% — below the 40% mark we flag

Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0310%30 Sept →
inferno13–10-0.0812%30 Sept →
dust213–11-0.019%28 Sept →
overpass7–13-0.0115%28 Sept →
nuke8–130.1010%28 Sept →
nuke0–2-0.090%28 Sept →
anubis2–13-0.0313%28 Sept →
dust210–13-0.0213%27 Sept →
dust213–16-0.074%27 Sept →
nuke13–70.0511%27 Sept →
inferno13–80.0515%27 Sept →
ancient13–00.065%27 Sept →
cache5–13-0.049%27 Sept →
mirage13–40.0111%27 Sept →
anubis12–160.0310%27 Sept →
dust213–6-0.0111%27 Sept →
cache13–40.1316%26 Sept →
nuke13–70.052%26 Sept →
mirage8–130.018%26 Sept →
inferno13–80.0813%26 Sept →
anubis13–70.0110%26 Sept →
anubis13–30.0815%20 Sept →
dust26–13-0.0910%16 Sept →
ancient13–40.0910%16 Sept →
anubis5–130.018%16 Sept →
inferno8–13-0.0312%15 Sept →
cache13–1-0.0017%15 Sept →
dust28–130.0121%15 Sept →
cache1–80.0115%15 Sept →
mirage8–13-0.0817%14 Sept →
cache13–10.0821%14 Sept →
inferno2–50.000%13 Sept →
cache10–130.0514%12 Sept →
inferno9–13-0.0312%12 Sept →
anubis13–70.0312%11 Sept →
dust28–13-0.1018%11 Sept →
nuke4–13-0.0241%11 Sept →
inferno8–13-0.0814%11 Sept →
cache13–110.0620%11 Sept →
inferno13–30.0815%4 Sept →
dust27–130.039%4 Sept →
nuke9–13-0.0114%4 Sept →
cache3–0-0.0275%3 Sept →
mirage13–100.0911%3 Sept →
cache12–120.048%24 Aug →
cache5–130.0110%22 Aug →
nuke13–100.0429%30 Aug →
dogtown8–80.067%14 Aug →
ancient13–100.046%14 Aug →
dogtown9–70.127%11 Aug →
nuke13–30.0713%1 Aug →
inferno8–130.035%31 Jul →
nuke5–13-0.0112%30 Jul →
dogtown9–60.032%21 Jul →
dogtown9–70.173%19 Jul →
dogtown9–30.144%19 Jul →
inferno13–80.0711%19 Jul →
dogtown9–20.1711%18 Jul →
dogtown9–4-0.023%18 Jul →
dogtown9–00.409%11 Jul →
nuke8–130.058%10 Jul →
dogtown9–40.188%9 Jul →
dogtown9–60.138%9 Jul →
dogtown9–70.1016%29 Jun →
nuke15–150.058%23 Jun →
anubis5–130.0715%17 Jun →
dogtown8–8-0.0112%17 Jun →
vertigo6–90.037%11 Oct →
memento9–10.1029%2 Oct →
vertigo9–30.2021%25 Sept →
memento9–20.204%27 Aug →
vertigo9–10.184%4 Aug →
memento9–30.259%29 Jul →
memento9–70.0319%25 Jul →
vertigo12–120.026%25 Jul →
inferno9–4-0.0215%22 Jul →
memento9–70.1713%22 Jul →
mirage13–70.0113%22 Jul →
vertigo5–9-0.0317%21 Jul →
vertigo9–20.1919%19 Jul →
dust29–130.038%14 Jul →
mirage13–90.049%10 Jul →
inferno13–100.1110%10 Jul →
nuke8–80.0515%8 Jul →
ancient8–130.059%6 Jul →
nuke13–100.0913%3 Jul →
memento6–90.0415%3 Jul →
inferno0–13-0.0614%1 Jul →
memento5–9-0.077%26 Jun →
mirage7–130.1015%25 Jun →
vertigo9–7-0.018%17 Jun →
overpass9–6-0.0010%17 Jun →
inferno9–10.3515%2 Apr →
dust213–100.1016%10 Mar →
mirage13–70.1012%10 Mar →
dust29–130.1011%4 Mar →
nuke13–40.032%27 Feb →
anubis13–8-0.060%26 Feb →
vertigo7–90.0914%14 Feb →
inferno9–7-0.1514%28 Jan →

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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