Sir-Pickle

Sir-Pickle — CS2 Stats

US76561198138821687[U:1:178555959]Steam profile ↗✓ No bans

810Tracked matches37%Win rate2025Tracked since
CSDB Rating3.9 LearningPositional Player
Premier CS Rating7,896Light Blue band · top ~65% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (2 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: 7,896 -842 14 Aug – 15 Oct · 36 days played
7,73810,491peak 10,49114 Aug15 Oct
10,491Peak Premier in tracked matches
46Days played since 2026-08-14

Premier CS Rating

  • 2,595 below peak (10,491)
  • -1,009 over 30 days · declining
  • Next: Blue band at 10,000 — 2,104 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-31

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

Share this profile

CSDB.GGSir-PickleFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER7,896 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWLWLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · +18ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 627ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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 (+1.8 against its own average).

Aim5.3
Utility4.5
Positioning4.7
Opening Duels0.1
Clutch2.2

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

Twistzz

Plays most like Twistzz 81% 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. 601ms 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

Aim5.3
Positioning4.7
Utility4.5
Mechanics5.6
Opening Duels2.2
Win Impact0.6

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time607ms+52ms
first ⅓ avg 555ms → last ⅓ avg 607ms
Headshot accuracy15.6%+2.9%
first ⅓ avg 12.7% → last ⅓ avg 15.6%

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

0.16Best match rating · 9–5 · inferno, 15 Oct →
34%Best headshot accuracy · 13–4 · mirage, 13 Oct →
375msFastest reaction time · 9–6 · inferno, 8 Sept →
13–1Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–13In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 67% over 15nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%-0.01
anubisA1911–858%0.00
infernoS1510–567%0.03
mirageB126–650%0.02
cacheB105–550%-0.01
nukeD102–820%-0.01
ancientA85–363%0.02
train—31–233%0.02
vertigo—32–167%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches
50%Win rate
0.97Avg K/D
77.4ADR
38%Headshot %

Clutches & streaks

31%1v1 clutch win
29%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.8810.0
Cache1164%1.0614.1
Dust2933%0.8511.9
Inferno875%1.3019.3
Anubis667%0.9013.5
Nuke450%1.0013.3
Ancient30%0.9015.0
Vertigo10%0.315.0

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.

15.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.2%Spray accuracy
75.2%Counter-strafing
11.0°Preaim
601msReaction time
43.1%T opening success
34.6%CT opening success
0.54Enemies flashed / flash
5.7%Flash assists
7.53HE damage / grenade
9.41Flashes / 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. Advanced Mechanics

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

    CT opening duels 34.5519% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0411%15 Oct →
nuke13–10.0826%15 Oct →
dust27–13-0.0211%15 Oct →
inferno9–50.1624%15 Oct →
anubis11–13-0.0110%15 Oct →
nuke13–60.0217%14 Oct →
nuke3–5-0.085%14 Oct →
dust213–90.0219%13 Oct →
nuke6–13-0.017%13 Oct →
mirage13–40.0834%13 Oct →
cache16–14-0.049%13 Oct →
mirage10–13-0.038%13 Oct →
dust213–9-0.0111%12 Oct →
mirage13–70.1421%11 Oct →
cache6–13-0.028%11 Oct →
inferno16–14-0.0123%9 Oct →
mirage10–13-0.047%9 Oct →
inferno9–13-0.067%8 Oct →
ancient13–100.0430%8 Oct →
nuke5–130.0224%8 Oct →
dust210–130.0529%8 Oct →
anubis13–4-0.055%8 Oct →
inferno13–30.045%7 Oct →
train6–80.0819%7 Oct →
ancient11–13-0.019%6 Oct →
dust24–13-0.0327%3 Oct →
ancient10–13-0.0018%2 Oct →
cache6–130.0022%2 Oct →
dust25–13-0.0116%1 Oct →
nuke5–130.0618%1 Oct →
inferno1–13-0.0911%1 Oct →
dust213–5-0.0316%30 Sept →
nuke9–13-0.077%30 Sept →
anubis13–30.0716%29 Sept →
dust213–2-0.0415%29 Sept →
anubis13–9-0.0114%28 Sept →
mirage13–60.0113%26 Sept →
anubis3–4-0.080%24 Sept →
nuke0–13-0.1216%24 Sept →
anubis13–7-0.0718%24 Sept →
vertigo13–50.0820%24 Sept →
dust210–13-0.0213%23 Sept →
vertigo12–0-0.0022%23 Sept →
anubis13–80.0412%22 Sept →
anubis13–6-0.0216%20 Sept →
ancient13–90.0618%20 Sept →
anubis13–80.0310%20 Sept →
ancient13–80.0312%20 Sept →
dust29–130.0321%20 Sept →
mirage11–13-0.0210%20 Sept →
dust213–80.0411%18 Sept →
anubis13–100.0414%17 Sept →
inferno13–90.0511%17 Sept →
cache8–13-0.0610%16 Sept →
anubis13–50.0312%15 Sept →
vertigo10–13-0.074%13 Sept →
inferno9–70.1219%13 Sept →
nuke9–13-0.039%10 Sept →
inferno13–5-0.027%10 Sept →
inferno9–20.103%10 Sept →
inferno11–13-0.017%9 Sept →
inferno9–60.1423%8 Sept →
dust212–16-0.0416%6 Sept →
cache13–80.0915%4 Sept →
ancient13–10-0.047%4 Sept →
mirage8–1-0.0013%4 Sept →
cache13–6-0.029%3 Sept →
anubis14–160.0310%3 Sept →
ancient9–130.027%1 Sept →
inferno6–13-0.0318%1 Sept →
anubis7–13-0.0213%1 Sept →
mirage11–130.017%1 Sept →
dust25–13-0.0518%30 Aug →
ancient13–80.0716%29 Aug →
cache11–13-0.078%29 Aug →
anubis7–13-0.0114%29 Aug →
inferno13–80.0818%29 Aug →
dust214–16-0.0415%27 Aug →
anubis13–40.0323%26 Aug →
cache13–20.029%26 Aug →
mirage13–100.049%26 Aug →
nuke11–130.0114%25 Aug →
mirage2–80.000%24 Aug →
mirage5–130.007%23 Aug →
dust26–130.0218%23 Aug →
dust25–13-0.089%23 Aug →
anubis11–130.0411%22 Aug →
anubis8–13-0.0310%21 Aug →
dust213–70.0513%19 Aug →
dust213–80.0210%19 Aug →
cache13–60.0214%19 Aug →
inferno13–80.0217%19 Aug →
dust213–10-0.0320%17 Aug →
train12–12-0.0316%16 Aug →
dust213–160.0316%16 Aug →
anubis13–50.0716%16 Aug →
anubis3–130.000%15 Aug →
inferno9–13-0.0817%14 Aug →
train13–70.0111%14 Aug →
mirage13–80.0218%14 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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