✪ moon is Old

✪ moon is Old — CS2 Stats

DE76561197969711193[U:1:9445465]Steam profile ↗✓ No bans

1,150Tracked matches37%Win rate2020Tracked since
5,337Hours in CS17Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,354 +553 14 Dec – 3 May · 16 days played
14,52015,862peak 15,86214 Dec3 May
16,933Peak Premier in tracked matches
30Days played since 2025-12-14

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 Level 3 among CSDB-tracked players (n=10,051), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate49.7%41.8%42.7%above
Shot accuracy19.6%12.2%11.3%above
Kill/death ratio1.210.980.99above
Match win rate43.3%43.3%43.9%meets

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG✪ moon is OldFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning37
Utility47

0–100 skill scores via Leetify.

Recent form

COLD42–57–1Last 10042%Win rateLLWWLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −3.0pp headshot accuracy · −52ms reaction

Win rate down 30pp 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 -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 548ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 29%
  • Avg reaction 507ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 533ms

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 (+2.6 against its own average).

Aim8.4
Utility4.7
Positioning3.7
Opening Duels0.0
Clutch0.0

Strong T-side opener

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.4
Positioning3.7
Utility4.7
Mechanics7.2
Opening Duels0.1
Win Impact0.6

Composite 5.1/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time552ms−71ms
first ⅓ avg 624ms → last ⅓ avg 552ms
Headshot accuracy30.9%+5.5%
first ⅓ avg 25.4% → last ⅓ avg 30.9%

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

0.12Best match rating · 13–3 · dust2, 24 Apr →
58%Best headshot accuracy · 8–13 · dust2, 25 Apr →
359msFastest reaction time · 8–13 · dust2, 25 Apr →
13–0Biggest win · nuke, 3 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 37% over 38
MapGradePlayedRecordWin rateAvg rating
dust2C3814–2437%0.01
infernoB199–1047%-0.00
ancientB168–850%-0.01
nukeC94–544%0.02
anubisB84–450%0.01
overpassA53–260%0.01
vertigo—20–20%-0.07
mirage—10–10%-0.03
cache—10–10%-0.01
train—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,567Lifetime kills
1.21K/D · Top 25% of Level 3 players
5,552Matches
43.3%Match win rate · Top 50% of Level 3 players
49.7%Headshot % · Top 25% of Level 3 players
19.6%Shot accuracy · Top 5% of Level 3 players
13,465MVPs
2,506Hours (in match)
6,839Bombs planted
1,358Bombs defused

Most-used weapons

AK-4731,013
AWP26,058
P2505,899
SSG 085,499
MP73,231
FAMAS1,782

Lifetime map wins

41,358dust2
4,679inferno
2,369nuke
388train
383vertigo
235cbble
204office
96dust

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

Faceit stats

Combat

109Matches
50%Win rate
1.28Avg K/D
70.9ADR
58%Headshot %

Clutches & streaks

0%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno425%1.1919.3
Ancient250%1.6221.5
Mirage20%0.274.5
Cache1100%1.6016.0
Anubis1100%0.9415.0

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.

30.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.9%Spray accuracy
82.5%Counter-strafing
8.5°Preaim
546msReaction time
30.5%T opening success
15.5%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
7.48HE damage / grenade
6.33Flashes / 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 0.4552 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 30.4963% — below the 40% mark we flag

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.

37% win rate across 38 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
dust24–130.0242%8 Oct →
inferno13–16-0.0132%7 Oct →
anubis13–30.0013%7 Oct →
inferno13–8-0.0729%7 Oct →
anubis7–130.0334%7 Oct →
mirage10–13-0.0328%6 Oct →
dust28–130.0338%6 Oct →
dust25–13-0.0319%6 Oct →
inferno9–13-0.0319%5 Jul →
dust27–13-0.0132%3 May →
anubis13–100.0524%3 May →
dust213–9-0.0417%1 May →
ancient9–13-0.0027%1 May →
dust27–10.0550%1 May →
dust214–160.0048%30 Apr →
cache10–13-0.0127%30 Apr →
dust214–160.0141%26 Apr →
dust213–8-0.0319%26 Apr →
inferno13–40.0435%26 Apr →
ancient10–13-0.0929%26 Apr →
anubis8–13-0.0825%26 Apr →
ancient7–13-0.0521%25 Apr →
dust28–130.0058%25 Apr →
dust28–13-0.0817%25 Apr →
dust213–10.0838%25 Apr →
dust213–70.0329%25 Apr →
dust213–30.1231%25 Apr →
dust213–30.1231%24 Apr →
dust24–13-0.0944%24 Apr →
dust26–130.0335%19 Apr →
dust25–130.0934%19 Apr →
anubis5–13-0.0029%19 Apr →
overpass15–150.0124%18 Apr →
dust26–13-0.0132%18 Apr →
dust213–8-0.0323%17 Apr →
inferno11–130.0327%17 Apr →
anubis11–13-0.0228%11 Apr →
dust22–13-0.0546%11 Apr →
nuke13–50.0729%11 Apr →
dust212–160.0522%10 Apr →
inferno4–13-0.0238%10 Apr →
inferno6–13-0.0510%30 Mar →
dust28–130.0731%28 Mar →
ancient16–13-0.039%16 Mar →
dust26–13-0.0529%16 Mar →
ancient13–90.0926%15 Mar →
nuke6–13-0.0318%15 Mar →
anubis13–50.0930%15 Mar →
ancient13–40.0322%15 Mar →
dust216–120.0229%15 Mar →
vertigo11–13-0.0331%15 Mar →
nuke8–13-0.0121%28 Feb →
anubis13–70.0329%28 Feb →
dust211–13-0.0139%28 Feb →
inferno13–11-0.0118%22 Feb →
dust213–20.0524%22 Feb →
dust27–13-0.0619%22 Feb →
dust28–130.0016%11 Jan →
ancient13–30.0430%11 Jan →
dust29–130.0236%11 Jan →
nuke10–13-0.0324%4 Jan →
inferno13–10-0.0031%4 Jan →
dust211–13-0.0527%4 Jan →
inferno13–80.0327%3 Jan →
nuke13–00.1130%3 Jan →
overpass13–60.0233%3 Jan →
nuke3–13-0.0028%3 Jan →
ancient16–14-0.0022%3 Jan →
inferno6–13-0.0318%3 Jan →
train11–13-0.0334%3 Jan →
dust211–130.0229%3 Jan →
inferno13–40.0724%3 Jan →
ancient9–13-0.0128%3 Jan →
overpass13–10.0629%1 Jan →
inferno13–20.0515%1 Jan →
ancient8–130.0215%1 Jan →
dust26–130.0421%25 Dec →
overpass13–11-0.0119%25 Dec →
inferno4–13-0.0214%25 Dec →
ancient13–11-0.0029%25 Dec →
overpass8–13-0.0021%25 Dec →
dust213–90.0829%25 Dec →
nuke9–50.0633%25 Dec →
inferno13–7-0.0135%21 Dec →
dust213–20.0644%21 Dec →
ancient13–2-0.0117%21 Dec →
nuke7–130.0338%21 Dec →
ancient10–13-0.047%20 Dec →
ancient11–13-0.0512%20 Dec →
nuke13–90.0136%20 Dec →
dust213–110.0538%20 Dec →
dust213–70.1035%20 Dec →
inferno11–130.0319%20 Dec →
dust23–13-0.0321%20 Dec →
ancient10–13-0.0828%19 Dec →
vertigo7–13-0.1133%19 Dec →
inferno6–13-0.0429%14 Dec →
inferno13–70.0429%14 Dec →
inferno11–13-0.0113%14 Dec →
ancient13–90.0223%14 Dec →

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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