★Sensei Pickle★

★Sensei Pickle★ — CS2 Stats

CZ76561198452711719[U:1:492445991]Steam profile ↗✓ No bans

2,264Tracked matches39%Win rate2021Tracked since
3,031Hours in CS18Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating15,101Purple band · top ~28% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (7 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: 15,101 -3,821 23 Aug – 12 Oct · 16 days played
14,99919,147peak 19,14723 Aug12 Oct
19,147Peak Premier in tracked matches
982Highest Faceit ELO seen on CSDB
22Days played since 2026-08-22

Faceit ELO

  • At peak — 982
  • Next: Level 5 at 1,051 — 69 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-31
  • Level 3 first seen 2026-08-31

Premier CS Rating

  • 4,046 below peak (19,147)
  • +44 over 30 days · steady
  • Next: Pink band at 20,000 — 4,899 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate50.4%44.3%46.9%above
Shot accuracy7.9%11.9%13.0%5.1% short
Kill/death ratio0.841.031.080.24 short
Match win rate42.2%45.2%46.7%4.5% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG★Sensei Pickle★PREMIER15,101 · Purple bandPEAK ELO982csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning67
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateWLWWWLWWLL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +0.2pp headshot accuracy · −8ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 614ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 578ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 582ms

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 (+1.9 against its own average).

Aim7.5
Utility4.4
Positioning6.7
Opening Duels4.6
Clutch3.4

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

jL

Plays most like jL 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 69% 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.

CT openings. Opening success drops from 69% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim7.5
Positioning6.7
Utility4.4
Mechanics6.8
Opening Duels6.8
Win Impact1.4

Composite 6.1/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time572ms+27ms
first ⅓ avg 545ms → last ⅓ avg 572ms
Headshot accuracy22.6%+3.1%
first ⅓ avg 19.5% → last ⅓ avg 22.6%

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

0.19Best match rating · 9–4 · overpass, 10 Sept →
100%Best headshot accuracy · 0–4 · office, 22 Aug →
391msFastest reaction time · 7–13 · inferno, 12 Sept →
13–0Biggest win · inferno, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 50% over 14mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
anubisC2310–1343%-0.01
cacheB147–750%-0.02
nukeB136–746%-0.00
infernoC125–742%-0.01
ancientD123–925%-0.03
mirageD92–722%-0.03
office—41–325%0.01
vertigo—31–233%-0.04
overpass—33–0100%0.09
dust2—21–150%0.02
train—21–150%-0.03
boulder—11–0100%-0.06
eldorado—10–10%-0.01
shelter—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,258Lifetime kills
0.84K/D
5,313Matches
42.2%Match win rate
50.4%Headshot % · Top 25% of Purple band
7.9%Shot accuracy
13,703MVPs
2,692Hours (in match)
2,720Bombs planted
754Bombs defused

Most-used weapons

AK-4727,165
AWP10,917
MP91,888
SSG 081,768
FAMAS1,270

Lifetime map wins

7,628inferno
4,446vertigo
3,959nuke
3,424dust2
897train
663lake
596cbble
241office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

329Matches
49%Win rate
0.98Avg K/D
84.4ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4441%0.9514.8
Anubis4260%1.2017.4
Ancient3754%0.9715.3
Inferno3656%0.9915.2
Vertigo1765%0.9915.6
Nuke1656%1.1215.4
Dust21656%1.0117.0
Overpass450%0.9414.8

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.

21.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
32.9%Spray accuracy
80.6%Counter-strafing
8.7°Preaim
565msReaction time
69.2%T opening success
45.4%CT opening success
0.48Enemies flashed / flash
4.2%Flash assists
5.52HE damage / grenade
7.73Flashes / 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 0.4837 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder13–6-0.0615%13 Oct →
nuke4–13-0.0630%13 Oct →
anubis13–6-0.0122%12 Oct →
cache13–11-0.0017%12 Oct →
dust213–70.0520%12 Oct →
anubis0–70.0444%12 Oct →
cache13–40.0837%9 Oct →
anubis16–13-0.0611%9 Oct →
cache6–13-0.0125%8 Oct →
inferno7–90.0519%8 Oct →
vertigo11–13-0.0017%6 Oct →
office12–12-0.0231%6 Oct →
anubis13–70.0422%6 Oct →
cache12–120.0124%6 Oct →
vertigo2–13-0.0942%6 Oct →
anubis9–13-0.0020%12 Sept →
inferno7–13-0.0619%12 Sept →
nuke3–13-0.0718%12 Sept →
ancient13–30.0527%12 Sept →
anubis2–13-0.0319%12 Sept →
train13–11-0.0217%12 Sept →
anubis6–13-0.0324%12 Sept →
ancient9–13-0.0719%12 Sept →
train8–13-0.0416%12 Sept →
inferno5–13-0.0327%11 Sept →
ancient14–16-0.0122%11 Sept →
anubis13–10-0.0111%11 Sept →
mirage3–13-0.0415%10 Sept →
nuke8–8-0.0530%10 Sept →
overpass9–40.1926%10 Sept →
overpass9–60.0820%8 Sept →
inferno8–80.0523%8 Sept →
anubis10–130.0515%8 Sept →
nuke9–60.0624%8 Sept →
ancient11–13-0.0417%8 Sept →
cache13–80.0331%8 Sept →
anubis5–130.0925%7 Sept →
nuke10–1-0.0236%7 Sept →
mirage7–130.0517%7 Sept →
nuke9–40.1734%7 Sept →
nuke8–80.0329%7 Sept →
inferno8–80.0115%7 Sept →
ancient14–16-0.0611%7 Sept →
inferno13–4-0.045%7 Sept →
cache7–13-0.0619%7 Sept →
anubis13–10-0.0115%6 Sept →
anubis15–15-0.0520%5 Sept →
anubis4–13-0.0213%5 Sept →
mirage7–13-0.0621%5 Sept →
mirage13–10.045%5 Sept →
anubis6–13-0.0226%4 Sept →
cache13–11-0.0018%4 Sept →
mirage10–13-0.0711%4 Sept →
dust27–13-0.0217%3 Sept →
vertigo13–11-0.039%3 Sept →
eldorado1–9-0.0119%2 Sept →
office11–13-0.0114%2 Sept →
office13–11-0.0219%2 Sept →
inferno11–13-0.0313%30 Aug →
inferno11–13-0.0227%30 Aug →
cache13–6-0.0122%30 Aug →
anubis13–16-0.045%30 Aug →
anubis13–10-0.0714%29 Aug →
anubis1–7-0.0322%29 Aug →
ancient13–90.0315%29 Aug →
cache6–13-0.0612%29 Aug →
nuke13–5-0.0121%29 Aug →
ancient4–13-0.0126%29 Aug →
ancient7–130.0413%28 Aug →
anubis13–6-0.0414%28 Aug →
nuke4–130.0521%28 Aug →
ancient7–13-0.0821%28 Aug →
ancient13–6-0.0515%28 Aug →
anubis13–4-0.098%28 Aug →
anubis9–130.0015%27 Aug →
ancient10–13-0.0713%27 Aug →
cache2–13-0.055%27 Aug →
inferno13–6-0.047%24 Aug →
nuke13–11-0.0516%24 Aug →
anubis11–13-0.0130%24 Aug →
mirage6–13-0.1016%24 Aug →
shelter13–6-0.0614%24 Aug →
mirage14–16-0.0513%23 Aug →
inferno13–30.1237%23 Aug →
ancient15–15-0.0414%23 Aug →
nuke9–13-0.0224%23 Aug →
cache9–13-0.0420%23 Aug →
anubis13–60.0115%23 Aug →
mirage13–60.0310%23 Aug →
cache9–13-0.0124%23 Aug →
nuke11–13-0.0612%23 Aug →
cache13–8-0.0721%23 Aug →
inferno13–11-0.069%23 Aug →
nuke13–8-0.0214%23 Aug →
inferno13–0-0.0224%23 Aug →
anubis13–50.0423%22 Aug →
mirage0–13-0.098%22 Aug →
office0–40.07100%22 Aug →
cache13–7-0.0222%22 Aug →
overpass13–60.0017%22 Aug →

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 →

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