Stockie

Stockie — CS2 Stats

76561198098357959[U:1:138092231]Steam profile ↗✓ No bans

141Tracked matches62%Win rate2023Tracked since
486Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating11,931Blue band · top ~44.7% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (79 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: 11,931 +409 24 Aug – 28 Aug · 2 days played
11,52211,931peak 11,93124 Aug28 Aug
11,931Peak Premier in tracked matches
31Days played since 2026-06-29

Premier CS Rating

  • At peak — 11,931
  • Next: Purple band at 15,000 — 3,069 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.6%42.0%44.4%9.8% short
Shot accuracy14.9%9.6%11.9%above
Kill/death ratio1.010.981.030.02 short
Match win rate39.6%43.8%45.2%5.6% short

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

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

Share this profile

CSDB.GGStockiePREMIER11,931 · Blue bandcsdb.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

Aim62
Positioning45
Utility48

0–100 skill scores via Leetify.

Recent form

COLD50–43–7Last 10050%Win rateLLWLWLLLWL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −4.3pp headshot accuracy · −15ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 547ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 554ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.2
Utility4.8
Positioning4.5
Opening Duels0.7
Clutch0.0

Effective flashesLimited utility dependence

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 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 552ms 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

Aim6.2
Positioning4.5
Utility4.8
Mechanics5.6
Opening Duels1.3
Win Impact9.0

Composite 5.1/10 (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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time565ms+2ms
first ⅓ avg 563ms → last ⅓ avg 565ms
Headshot accuracy13.2%−2.0%
first ⅓ avg 15.2% → last ⅓ avg 13.2%

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

0.15Best match rating · 13–7 · inferno, 4 Aug →
35%Best headshot accuracy · 1–13 · mirage, 20 Aug →
438msFastest reaction time · 13–5 · inferno, 10 Sept →
13–2Biggest win · nuke, 29 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 54% over 28anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2815–1354%-0.01
infernoB2111–1052%0.01
nukeB137–654%-0.00
cacheB126–650%0.00
ancientC125–742%0.02
anubisD93–633%-0.01
dust2—32–167%-0.01
poseidon—10–10%-0.08
overpass—11–0100%0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,138Lifetime kills
1.01K/D · Top 50% of Blue band
2,242Matches
39.6%Match win rate
34.6%Headshot %
14.9%Shot accuracy · Top 25% of Blue band
6,141MVPs
486Hours (in match)
2,050Bombs planted
269Bombs defused

Most-used weapons

Lifetime map wins

2,554inferno
1,324dust2
1,322train
1,126cbble
415nuke
210vertigo
189lake
140office

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

Faceit stats

Combat

2Matches
50%Win rate
1.08Avg K/D
87.7ADR
52%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.7112.0
Anubis1100%1.4516.0

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.

13.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
33.1%Spray accuracy
75.0%Counter-strafing
8.6°Preaim
552msReaction time
24.2%T opening success
40.2%CT opening success
0.72Enemies flashed / flash
5.1%Flash assists
8.10HE damage / grenade
2.80Flashes / 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 13.0347% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8044 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 24.1567% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–9-0.079%14 Sept →
cache11–13-0.066%10 Sept →
inferno13–50.0521%10 Sept →
cache7–13-0.037%9 Sept →
nuke13–30.019%9 Sept →
mirage10–13-0.059%9 Sept →
ancient9–130.048%8 Sept →
mirage4–6-0.0216%8 Sept →
ancient13–70.0517%7 Sept →
anubis5–13-0.0411%30 Aug →
nuke12–12-0.0213%30 Aug →
nuke13–20.0117%29 Aug →
mirage13–9-0.0310%29 Aug →
cache13–40.1026%29 Aug →
mirage16–120.0310%28 Aug →
nuke13–7-0.0026%27 Aug →
inferno13–110.0111%24 Aug →
cache13–70.0612%24 Aug →
ancient13–110.1519%24 Aug →
inferno7–9-0.0813%24 Aug →
mirage13–40.0020%24 Aug →
dust213–50.0212%23 Aug →
inferno1–9-0.1420%23 Aug →
mirage0–13-0.057%23 Aug →
dust27–13-0.036%23 Aug →
inferno3–13-0.107%23 Aug →
mirage13–90.0513%22 Aug →
ancient5–130.0213%22 Aug →
cache13–110.0414%22 Aug →
anubis9–13-0.0112%22 Aug →
nuke13–9-0.0115%22 Aug →
inferno13–60.0318%22 Aug →
mirage13–4-0.0312%22 Aug →
mirage13–50.1326%21 Aug →
mirage6–13-0.0514%21 Aug →
nuke13–80.043%21 Aug →
nuke10–13-0.0511%21 Aug →
mirage1–13-0.0535%20 Aug →
inferno7–13-0.0517%20 Aug →
anubis13–70.0218%20 Aug →
anubis12–12-0.0611%6 Aug →
ancient13–7-0.0317%6 Aug →
nuke6–10.0610%6 Aug →
inferno13–70.0119%6 Aug →
cache10–13-0.054%6 Aug →
mirage13–50.0819%6 Aug →
inferno10–130.0014%6 Aug →
mirage10–130.0113%5 Aug →
inferno13–70.159%4 Aug →
cache1–12-0.0310%4 Aug →
inferno9–130.0010%3 Aug →
inferno9–30.0513%3 Aug →
poseidon4–9-0.0810%3 Aug →
overpass9–20.1018%3 Aug →
nuke4–9-0.0433%3 Aug →
inferno9–60.0214%3 Aug →
nuke13–60.1215%3 Aug →
mirage13–5-0.019%2 Aug →
cache13–110.0519%2 Aug →
anubis12–12-0.0313%2 Aug →
mirage0–130.020%2 Aug →
mirage2–11-0.0813%2 Aug →
inferno8–80.1113%30 Jul →
inferno6–9-0.0812%30 Jul →
inferno9–40.0117%30 Jul →
mirage8–130.0115%30 Jul →
mirage15–150.0314%29 Jul →
dust213–6-0.0225%29 Jul →
nuke9–13-0.0215%28 Jul →
mirage10–130.069%28 Jul →
ancient12–120.0520%28 Jul →
nuke4–13-0.0119%28 Jul →
ancient4–130.0515%28 Jul →
mirage13–7-0.025%28 Jul →
anubis7–13-0.047%28 Jul →
cache6–13-0.0012%28 Jul →
inferno12–120.0413%28 Jul →
anubis13–110.029%27 Jul →
ancient13–90.0210%27 Jul →
mirage13–8-0.0212%27 Jul →
inferno13–20.038%27 Jul →
mirage13–11-0.0529%23 Jul →
anubis13–5-0.019%23 Jul →
ancient8–13-0.054%23 Jul →
cache7–13-0.0913%23 Jul →
ancient13–30.0421%13 Jul →
cache13–40.0032%13 Jul →
inferno13–30.1517%12 Jul →
mirage13–5-0.0116%12 Jul →
anubis7–130.0627%11 Jul →
mirage13–7-0.0418%11 Jul →
mirage13–9-0.073%9 Jul →
inferno13–40.0411%9 Jul →
mirage10–13-0.0415%9 Jul →
cache13–20.0928%9 Jul →
mirage8–130.026%8 Jul →
inferno5–130.0130%8 Jul →
mirage13–60.0318%7 Jul →
ancient3–13-0.0214%7 Jul →
ancient6–13-0.0514%29 Jun →

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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