moo

moo — CS2 Stats

76561199093904998[U:1:1133639270]Steam profile ↗✓ No bans

420Tracked matches54%Win rate2025Tracked since
728Hours in CS18Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating13,656Blue band · top ~35.5% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (13 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: 13,656 +6,105 11 Aug – 18 Oct · 30 days played
6,84514,215peak 14,21511 Aug18 Oct
14,215Peak Premier in tracked matches
34Days played since 2026-08-11

Premier CS Rating

  • 559 below peak (14,215)
  • +5,059 over 30 days · improving
  • Next: Purple band at 15,000 — 1,344 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches72——
Win rate53%——
K/D1.34——
Headshot %61%——

Measured 26 Sep 2026 → 31 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 rate57.2%42.0%44.4%above
Shot accuracy0.3%9.6%11.9%11.5% short
Kill/death ratio1.060.981.03above
Match win rate48.3%43.8%45.2%above

This profile matches the typical Purple band player on 3 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.GGmooPREMIER13,656 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateLLWTWWLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −3.3pp headshot accuracy · +7ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 607ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 619ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 616ms

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 (+1.4 against its own average).

Aim7.5
Utility5.4
Positioning6.0
Opening Duels2.3

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Reaction time. 653ms 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
Positioning6.0
Utility5.4
Mechanics8.1
Opening Duels4.5
Win Impact6.2

Composite 6.2/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time649ms+40ms
first ⅓ avg 609ms → last ⅓ avg 649ms
Headshot accuracy24.1%−1.2%
first ⅓ avg 25.3% → last ⅓ avg 24.1%

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 · 13–5 · ancient, 27 Sept →
67%Best headshot accuracy · 13–3 · inferno, 30 Aug →
391msFastest reaction time · 4–13 · anubis, 21 Aug →
13–1Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
6–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 60% over 15dust2Weakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageA2011–955%-0.00
dust2D196–1332%0.00
nukeA159–660%0.01
infernoB137–654%0.02
ancientB137–654%0.00
anubisB115–645%0.01
cacheA74–357%-0.03
overpass—10–10%0.01
vertigo—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,586Lifetime kills
1.06K/D · Top 50% of Blue band
1,138Matches
48.3%Match win rate · Top 25% of Blue band
57.2%Headshot % · Top 10% of Blue band
0.3%Shot accuracy
2,328MVPs
369Hours (in match)
944Bombs planted
655Bombs defused

Most-used weapons

Lifetime map wins

1,742nuke
1,718inferno
1,609dust2
236train
198vertigo
64office
43italy
2ar_baggage

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.

24.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.3%Spray accuracy
86.5%Counter-strafing
10.3°Preaim
653msReaction time
52.9%T opening success
42.7%CT opening success
0.70Enemies flashed / flash
10.1%Flash assists
11.73HE damage / grenade
4.45Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke2–13-0.0633%30 Oct →
dust22–130.0833%30 Oct →
inferno13–3-0.029%30 Oct →
inferno12–120.1026%30 Oct →
nuke12–30.0421%30 Oct →
mirage13–5-0.0235%25 Oct →
nuke9–130.0220%25 Oct →
nuke8–13-0.0117%18 Oct →
inferno13–30.0423%18 Oct →
inferno10–13-0.079%18 Oct →
inferno7–130.0228%18 Oct →
dust215–15-0.0338%17 Oct →
nuke13–70.0833%17 Oct →
dust216–140.0121%17 Oct →
dust216–140.0019%17 Oct →
anubis13–4-0.0117%17 Oct →
cache6–13-0.0628%17 Oct →
dust24–13-0.0121%17 Oct →
mirage13–90.0323%17 Oct →
ancient13–100.0031%17 Oct →
dust216–13-0.0334%17 Oct →
mirage9–13-0.0119%17 Oct →
cache13–11-0.0123%17 Oct →
anubis5–130.0331%16 Oct →
dust29–13-0.0225%16 Oct →
nuke13–90.0521%16 Oct →
dust210–13-0.0022%16 Oct →
mirage2–13-0.0619%11 Oct →
cache13–8-0.0312%10 Oct →
nuke13–9-0.0024%10 Oct →
inferno15–15-0.0026%10 Oct →
dust213–80.0225%10 Oct →
nuke7–13-0.0529%9 Oct →
nuke13–100.0930%9 Oct →
anubis8–13-0.0927%9 Oct →
dust210–13-0.0328%9 Oct →
overpass8–80.0120%9 Oct →
anubis13–80.0413%2 Oct →
inferno13–70.0119%2 Oct →
ancient5–13-0.0720%2 Oct →
mirage13–80.0112%2 Oct →
mirage13–8-0.0215%2 Oct →
mirage13–90.0427%1 Oct →
ancient13–20.0821%1 Oct →
inferno13–60.0533%1 Oct →
cache13–10-0.0416%30 Sept →
mirage13–5-0.0226%30 Sept →
ancient13–80.0113%30 Sept →
nuke11–5-0.0336%30 Sept →
inferno13–20.1228%30 Sept →
mirage14–160.0614%29 Sept →
dust213–90.0132%29 Sept →
dust214–160.0229%29 Sept →
nuke10–13-0.0329%28 Sept →
dust210–13-0.0028%27 Sept →
ancient13–50.1925%27 Sept →
dust211–130.0230%27 Sept →
nuke13–40.1229%27 Sept →
mirage8–13-0.0120%25 Sept →
ancient6–13-0.0318%23 Sept →
mirage13–6-0.0339%20 Sept →
mirage13–1-0.030%20 Sept →
dust29–130.0118%19 Sept →
ancient2–13-0.0118%19 Sept →
anubis0–13-0.0212%19 Sept →
cache10–13-0.0111%18 Sept →
ancient10–130.0325%14 Sept →
ancient13–8-0.0312%14 Sept →
dust26–130.0126%12 Sept →
ancient13–5-0.0214%12 Sept →
ancient6–130.0213%12 Sept →
mirage4–130.0217%11 Sept →
nuke13–11-0.0121%7 Sept →
mirage13–50.0314%7 Sept →
dust27–130.0332%6 Sept →
nuke4–130.0140%6 Sept →
anubis13–80.0717%5 Sept →
cache13–5-0.0122%5 Sept →
cache15–15-0.0324%4 Sept →
dust211–13-0.0318%4 Sept →
ancient13–11-0.0423%31 Aug →
mirage13–60.1035%31 Aug →
anubis13–100.0431%30 Aug →
inferno13–30.0867%30 Aug →
anubis6–13-0.0317%30 Aug →
anubis13–40.1139%30 Aug →
vertigo7–90.0448%30 Aug →
ancient8–13-0.0719%29 Aug →
inferno10–130.0319%29 Aug →
mirage9–13-0.0423%28 Aug →
mirage2–13-0.0413%28 Aug →
mirage6–13-0.0424%23 Aug →
dust213–60.0019%23 Aug →
nuke13–50.0122%23 Aug →
anubis4–13-0.0627%21 Aug →
inferno13–11-0.0324%21 Aug →
anubis8–130.0023%20 Aug →
inferno4–13-0.0728%11 Aug →
mirage5–13-0.0136%11 Aug →
mirage13–40.0328%11 Aug →

Match data via Leetify.

Milestones

100 Matches10-Win Streak
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.