shkreli

shkreli — CS2 Stats

SX76561198402462506[U:1:442196778]Steam profile ↗✓ No bans

699Tracked matches37%Win rate2025Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating10,873Blue band · top ~50.3% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−701Premier CS Rating · 11,574 → 10,873

Rating over time

Premier CS Rating: 10,873 -426 28 Oct – 5 Nov · 9 days played
10,87315,057peak 15,05728 Oct5 Nov
15,997Peak Premier in tracked matches
9Days played since 2026-10-28

Premier CS Rating

  • 4,184 below peak (15,057)
  • Next: Purple band at 15,000 — 4,127 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.

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Performance scores

Aim85
Positioning77
Utility43

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateLLLLWLWLLW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +17.0pp headshot accuracy · +70ms 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 -0.06
  • Avg headshot accuracy 30%
  • Avg reaction 486ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 35%
  • Avg reaction 490ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 455ms

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 (+1.6 against its own average).

Aim8.5
Utility4.3
Positioning7.7
Opening Duels6.3

Sharp aimer

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.5
Positioning7.7
Utility4.3
Mechanics4.0
Opening Duels7.5
Win Impact0.7

Composite 5.8/10 (Solid), 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 rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time462ms+8ms
first ⅓ avg 453ms → last ⅓ avg 462ms
Headshot accuracy21.5%+8.9%
first ⅓ avg 12.6% → last ⅓ avg 21.5%

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

0.14Best match rating · 13–9 · dust2, 30 Oct →
100%Best headshot accuracy · 6–13 · mirage, 5 Nov →
313msFastest reaction time · 3–8 · ancient, 30 Oct →
13–1Biggest win · inferno, 1 Nov →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L4Current streak
3–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 91% over 11mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C228–1436%0.01
nukeA1710–759%0.01
mirageD165–1131%-0.01
infernoB137–654%0.01
anubisS128–467%0.01
cacheS1110–191%0.01
ancientC83–538%0.04
office—10–10%-0.02

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.

Skill profile

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

21.4%Headshot accuracy
37.1%Accuracy (enemy spotted)
34.6%Spray accuracy
67.9%Counter-strafing
7.1°Preaim
448msReaction time
62.5%T opening success
57.3%CT opening success
0.52Enemies flashed / flash
3.7%Flash assists
12.49HE damage / grenade
8.13Flashes / match

Recommended for you

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
anubis7–13-0.0663%5 Nov →
dust24–13-0.097%5 Nov →
mirage2–13-0.0318%5 Nov →
dust210–13-0.0229%5 Nov →
cache13–6-0.1133%5 Nov →
mirage4–130.1116%5 Nov →
nuke13–6-0.0142%5 Nov →
mirage6–13-0.03100%5 Nov →
ancient9–13-0.0120%5 Nov →
inferno13–70.0318%5 Nov →
dust212–120.0730%4 Nov →
ancient15–15-0.0322%4 Nov →
nuke13–16-0.0113%4 Nov →
anubis13–80.1320%4 Nov →
dust29–13-0.0425%4 Nov →
mirage15–150.0223%4 Nov →
anubis13–40.0615%4 Nov →
mirage5–13-0.0710%4 Nov →
dust26–13-0.009%4 Nov →
inferno5–13-0.0410%4 Nov →
cache13–60.0311%4 Nov →
anubis13–100.0212%3 Nov →
ancient10–130.0315%3 Nov →
ancient11–130.0216%3 Nov →
nuke13–100.0924%3 Nov →
mirage13–9-0.0120%3 Nov →
mirage11–130.026%3 Nov →
nuke13–70.0311%2 Nov →
nuke6–13-0.0425%2 Nov →
dust211–130.0917%2 Nov →
anubis3–13-0.046%2 Nov →
cache11–13-0.130%2 Nov →
inferno3–13-0.0225%2 Nov →
dust210–13-0.0724%1 Nov →
anubis3–13-0.0113%1 Nov →
dust23–13-0.0714%1 Nov →
dust213–160.0219%1 Nov →
dust213–10-0.0314%1 Nov →
mirage9–130.0124%1 Nov →
dust215–150.0220%1 Nov →
inferno13–1-0.0214%1 Nov →
anubis13–9-0.0514%1 Nov →
anubis13–20.0421%1 Nov →
mirage13–8-0.0225%1 Nov →
dust213–10-0.0012%1 Nov →
nuke8–13-0.0124%1 Nov →
nuke9–13-0.0210%1 Nov →
mirage6–13-0.0119%1 Nov →
anubis13–10-0.017%1 Nov →
nuke13–10-0.0216%1 Nov →
dust211–130.0411%31 Oct →
dust26–3-0.0713%31 Oct →
nuke7–13-0.034%31 Oct →
cache13–110.085%31 Oct →
inferno15–15-0.0221%31 Oct →
mirage9–130.019%31 Oct →
inferno13–100.0617%31 Oct →
cache13–100.0517%31 Oct →
ancient13–60.0813%31 Oct →
mirage11–13-0.0612%30 Oct →
ancient16–140.138%30 Oct →
ancient3–80.0212%30 Oct →
mirage9–13-0.0623%30 Oct →
nuke4–13-0.0813%30 Oct →
mirage13–100.038%30 Oct →
nuke13–40.107%30 Oct →
dust213–2-0.0219%30 Oct →
anubis13–8-0.0111%30 Oct →
dust213–90.1412%30 Oct →
nuke9–130.0716%30 Oct →
inferno5–130.0015%30 Oct →
inferno13–80.0911%30 Oct →
cache13–6-0.0214%30 Oct →
inferno13–10.017%30 Oct →
inferno10–13-0.0210%29 Oct →
cache13–80.1018%29 Oct →
dust27–130.0518%29 Oct →
inferno5–130.016%29 Oct →
cache13–30.0916%29 Oct →
mirage13–8-0.017%29 Oct →
nuke13–90.017%29 Oct →
anubis5–13-0.0115%29 Oct →
anubis13–90.039%29 Oct →
nuke13–10-0.0318%29 Oct →
dust213–100.0910%29 Oct →
office2–13-0.0221%29 Oct →
dust210–130.068%29 Oct →
nuke13–80.067%29 Oct →
nuke13–100.037%29 Oct →
cache13–9-0.0114%28 Oct →
mirage13–90.0018%28 Oct →
dust213–70.0321%28 Oct →
ancient13–90.0412%28 Oct →
dust213–50.0519%28 Oct →
cache7–1-0.020%28 Oct →
nuke13–100.0318%28 Oct →
inferno16–140.0111%28 Oct →
cache13–100.0115%28 Oct →
dust29–130.0113%28 Oct →
inferno13–90.0313%28 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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