MyuPicks

MyuPicks — CS2 Stats

US76561198137048660[U:1:176782932]Steam profile ↗✓ No bans

271Tracked matches59%Win rate2020Tracked since
345Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating11,996Blue band · top ~44.3% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (18 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: 11,996 +3,282 27 Jun – 29 Sept · 13 days played
8,71414,650peak 14,65027 Jun29 Sept
14,650Peak Premier in tracked matches
55Days played since 2025-01-29

Premier CS Rating

  • 2,654 below peak (14,650)
  • +344 over 30 days · steady
  • Next: Purple band at 15,000 — 3,004 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12——
Win rate42%——
K/D0.81——
Headshot %42%——

Measured 13 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate41.0%42.0%44.3%3.3% short
Shot accuracy10.4%9.6%11.9%1.4% short
Kill/death ratio1.030.981.03meets
Match win rate45.8%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGMyuPicksPREMIER11,996 · Blue bandcsdb.gg/stats

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Performance scores

Aim44
Positioning53
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +2.0pp headshot accuracy · +137ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 720ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 676ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 607ms

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 (+1.2 against its own average).

Aim4.4
Utility4.6
Positioning5.3
Opening Duels2.5

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

donk

Plays most like donk 75% 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

Reaction time. 612ms 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

Aim4.4
Positioning5.3
Utility4.6
Mechanics5.7
Opening Duels1.1
Win Impact8.1

Composite 4.6/10 (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-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time608ms−65ms
first ⅓ avg 673ms → last ⅓ avg 608ms
Headshot accuracy15.9%+1.8%
first ⅓ avg 14.2% → last ⅓ avg 15.9%

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

0.13Best match rating · 13–4 · mirage, 23 Oct →
33%Best headshot accuracy · 1–13 · dust2, 8 Sept →
406msFastest reaction time · 4–13 · inferno, 15 Aug →
13–2Biggest win · vertigo, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 63% over 8cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%0.01
dust2D155–1033%-0.01
anubisA159–660%-0.01
cacheD113–827%-0.03
infernoB84–450%0.00
trainA85–363%-0.00
overpassD62–433%-0.01
vertigo—33–0100%-0.01
palacio—22–0100%0.02
agency—22–0100%-0.05
shelter—11–0100%-0.04
office—10–10%-0.07
warden—10–10%-0.03
rooftop—10–10%-0.01
ancient—10–10%-0.06
dogtown—11–0100%-0.02
nuke—10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

15,893Lifetime kills
1.03K/D · Top 50% of Blue band
969Matches
45.8%Match win rate · Top 50% of Blue band
41.0%Headshot %
10.4%Shot accuracy · Top 50% of Blue band
1,872MVPs
345Hours (in match)
951Bombs planted
210Bombs defused

Most-used weapons

Lifetime map wins

1,316inferno
1,005vertigo
671nuke
658dust2
489train
76office
20cbble
17lake

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

Skill profile

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

15.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.8%Spray accuracy
75.6%Counter-strafing
11.9°Preaim
612msReaction time
30.6%T opening success
38.1%CT opening success
0.60Enemies flashed / flash
1.7%Flash assists
6.56HE damage / grenade
11.57Flashes / 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

    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 30.5685% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0113%29 Sept →
cache8–13-0.065%29 Sept →
mirage13–8-0.0122%29 Sept →
vertigo13–2-0.0716%28 Sept →
cache4–13-0.0918%15 Sept →
dust213–8-0.0619%15 Sept →
mirage13–30.0219%9 Sept →
cache10–13-0.0612%8 Sept →
dust21–13-0.0333%8 Sept →
anubis9–13-0.085%8 Sept →
mirage13–50.0612%6 Sept →
anubis10–13-0.0624%6 Sept →
anubis13–90.0124%24 Aug →
anubis13–10-0.0110%23 Aug →
mirage13–100.019%20 Aug →
dust215–150.0217%20 Aug →
mirage11–13-0.0217%20 Aug →
inferno13–8-0.0012%18 Aug →
cache15–150.0110%17 Aug →
mirage15–15-0.058%17 Aug →
mirage13–30.0013%13 Aug →
cache13–60.0418%13 Aug →
anubis13–6-0.017%13 Aug →
mirage11–13-0.0514%10 Aug →
cache13–9-0.0220%10 Aug →
dust210–130.0220%4 Aug →
vertigo13–100.039%31 Jul →
shelter13–9-0.0413%26 Jul →
dust213–80.0519%25 Jul →
cache8–100.0732%25 Jul →
dust213–9-0.0214%19 Jul →
office8–13-0.0727%19 Jul →
mirage5–13-0.0418%19 Jul →
cache5–13-0.0814%19 Jul →
cache7–13-0.0611%19 Jul →
cache13–70.018%30 Jun →
warden10–13-0.0316%10 Jun →
anubis13–7-0.0212%10 Jun →
vertigo13–20.018%10 Jun →
mirage9–30.0626%20 May →
mirage3–13-0.008%19 May →
dust27–13-0.0623%19 May →
mirage13–80.0110%19 May →
inferno13–5-0.026%4 May →
cache8–13-0.0516%28 Apr →
inferno10–130.0817%28 Apr →
dust26–13-0.0114%27 Apr →
dust210–13-0.0117%27 Apr →
mirage13–50.0615%30 Oct →
dust28–13-0.047%30 Oct →
mirage5–3-0.035%30 Oct →
train5–13-0.086%30 Oct →
mirage10–13-0.0510%29 Oct →
rooftop8–8-0.010%28 Oct →
anubis13–4-0.0111%28 Oct →
dust21–130.0115%28 Oct →
inferno13–110.0514%23 Oct →
dust28–13-0.0115%23 Oct →
mirage13–40.1319%23 Oct →
mirage8–130.0517%20 Oct →
overpass6–13-0.026%19 Oct →
dust213–100.0130%19 Oct →
train5–13-0.0320%12 Oct →
palacio13–10-0.0213%2 Oct →
palacio13–70.0521%2 Oct →
anubis11–13-0.0022%12 Sept →
inferno4–13-0.049%15 Aug →
mirage4–13-0.0825%15 Aug →
ancient3–13-0.0622%15 Aug →
mirage13–80.0823%8 Aug →
train13–70.0917%5 Aug →
overpass13–7-0.0115%29 Jul →
overpass11–13-0.0214%28 Jul →
overpass13–70.027%25 Jul →
mirage13–90.0315%25 Jul →
train13–7-0.0517%25 Jul →
overpass5–13-0.0413%15 Jul →
overpass2–50.0213%15 Jul →
inferno14–16-0.036%14 Jul →
dust213–11-0.006%14 Jul →
inferno13–110.033%13 Jul →
anubis13–100.018%27 Jun →
mirage2–13-0.0622%27 Jun →
anubis5–13-0.0119%27 Jun →
mirage6–13-0.0610%18 Jun →
anubis9–13-0.004%18 Jun →
train13–90.0113%16 Jun →
anubis13–70.0912%12 Jun →
agency13–4-0.0114%12 Jun →
agency13–11-0.0814%21 May →
dogtown9–6-0.0228%21 May →
nuke2–130.0215%20 May →
train13–50.0730%4 Mar →
train5–13-0.0618%4 Mar →
inferno10–13-0.0610%26 Feb →
anubis13–10-0.027%7 Feb →
mirage13–70.0816%31 Jan →
anubis9–13-0.019%30 Jan →
anubis13–7-0.0512%29 Jan →
train13–110.0311%29 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.