Moon Dog

Moon Dog — CS2 Stats

US76561199446672457[U:1:1486406729]Steam profile ↗✓ No bans

7,406Tracked matches52%Win rate2023Tracked since
7,205Hours in CS32Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating12,295Blue band · top ~42.7% of ranked players (population est.)
FaceitLevel 5 · 753 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). 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: 12,295 +2,296 11 Oct – 6 Nov · 18 days played
9,99913,022peak 13,02211 Oct6 Nov
13,022Peak Premier in tracked matches
753Highest Faceit ELO seen on CSDB
20Days played since 2026-10-11

Faceit ELO

  • At peak — 753
  • Next: Level 4 at 901 — 148 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 727 below peak (13,022)
  • +2,296 over 30 days · improving
  • Next: Purple band at 15,000 — 2,705 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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.1%43.8%44.8%above
Shot accuracy1.0%12.0%12.4%11.4% short
Kill/death ratio0.841.021.030.20 short
Match win rate44.0%44.7%45.2%1.2% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMoon DogFACEITLevel 5 · 753 ELOSTANDINGTop 67.6% of rankedPREMIER12,295 · Blue bandPEAK ELO753csdb.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

Aim41
Positioning63
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateLLWLLLWWWW

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +1.0pp headshot accuracy · +26ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 688ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 670ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 657ms

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).

Aim4.1
Utility4.5
Positioning6.3
Opening Duels5.1
Clutch3.8

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

device

Plays most like device 72% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 678ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning6.3
Utility4.5
Mechanics4.2
Opening Duels6.8
Win Impact5.6

Composite 4.8/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time673ms+63ms
first ⅓ avg 610ms → last ⅓ avg 673ms
Headshot accuracy19.9%−1.3%
first ⅓ avg 21.2% → last ⅓ avg 19.9%

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

0.24Best match rating · 7–13 · train, 6 Nov →
40%Best headshot accuracy · 12–8 · nuke, 11 Oct →
383msFastest reaction time · 2–8 · mirage, 11 Oct →
13–2Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
7–3In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%0.02
nukeA1810–856%0.02
mirageA138–562%0.00
ancientS96–367%0.06
cacheA95–456%0.03
infernoC83–538%0.01
anubisC73–443%0.01
vertigo—42–250%0.04
train—30–30%0.09
office—31–233%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,652Lifetime kills
0.84K/D
7,949Matches
44.0%Match win rate
49.1%Headshot % · Top 25% of Level 5 players
1.0%Shot accuracy
14,304MVPs
3,127Hours (in match)
7,488Bombs planted
2,067Bombs defused

Most-used weapons

Lifetime map wins

11,077nuke
9,421inferno
7,390dust2
6,659vertigo
1,789train
151office
39italy
35ar_baggage

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

Faceit stats

Combat

672Matches
49%Win rate
0.97Avg K/D
73.3ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21247%0.9813.9
Ancient10456%0.9813.6
Dust28645%0.8513.6
Anubis8446%0.9514.1
Nuke8159%1.0515.3
Inferno6346%1.0014.3
Overpass1331%0.8513.3
Vertigo1267%1.0413.3

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.

20.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.1%Spray accuracy
68.9%Counter-strafing
11.4°Preaim
678msReaction time
63.7%T opening success
50.9%CT opening success
0.51Enemies flashed / flash
5.5%Flash assists
6.72HE damage / grenade
6.84Flashes / 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.

38% win rate across 26 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
vertigo5–130.0519%6 Nov →
mirage3–130.0020%6 Nov →
inferno13–10-0.0123%6 Nov →
train7–130.2420%6 Nov →
dust213–160.0517%6 Nov →
nuke8–130.0527%6 Nov →
mirage13–110.0316%5 Nov →
vertigo13–30.096%5 Nov →
nuke13–50.1324%5 Nov →
mirage13–9-0.0139%5 Nov →
anubis15–150.0220%5 Nov →
ancient10–50.0926%4 Nov →
mirage13–50.0918%4 Nov →
dust213–50.1515%4 Nov →
nuke13–30.1127%1 Nov →
mirage13–10-0.088%1 Nov →
dust213–30.0629%1 Nov →
mirage5–13-0.0424%31 Oct →
inferno14–16-0.0716%31 Oct →
dust28–13-0.1317%31 Oct →
mirage13–8-0.048%31 Oct →
dust26–13-0.0732%31 Oct →
cache13–11-0.0919%31 Oct →
anubis5–13-0.1016%31 Oct →
dust28–130.0133%31 Oct →
mirage5–13-0.069%30 Oct →
dust212–120.0516%30 Oct →
mirage13–30.0813%30 Oct →
cache6–130.1521%30 Oct →
dust212–120.0928%30 Oct →
anubis13–9-0.0018%30 Oct →
dust29–13-0.0111%30 Oct →
dust213–20.0727%30 Oct →
ancient13–110.0825%30 Oct →
ancient13–70.1511%30 Oct →
nuke15–150.0017%28 Oct →
dust23–130.0127%25 Oct →
dust23–13-0.0513%25 Oct →
nuke6–130.1220%25 Oct →
inferno5–13-0.0015%25 Oct →
mirage13–30.0819%25 Oct →
nuke13–8-0.0413%25 Oct →
ancient13–40.0211%25 Oct →
inferno10–13-0.0712%24 Oct →
nuke4–13-0.0410%24 Oct →
dust211–10.0418%24 Oct →
cache13–40.0624%24 Oct →
ancient13–7-0.0016%24 Oct →
anubis2–13-0.0325%23 Oct →
dust26–13-0.0021%23 Oct →
ancient7–13-0.0118%23 Oct →
vertigo12–12-0.0623%23 Oct →
nuke13–7-0.0321%23 Oct →
cache13–9-0.0121%23 Oct →
mirage10–130.0121%23 Oct →
anubis10–13-0.0016%23 Oct →
ancient9–13-0.0316%23 Oct →
nuke13–2-0.0114%23 Oct →
inferno7–130.0824%23 Oct →
cache8–130.0335%23 Oct →
dust213–80.039%23 Oct →
ancient12–120.2125%23 Oct →
dust213–60.0316%22 Oct →
dust26–13-0.0416%22 Oct →
dust28–130.0612%21 Oct →
cache13–110.1223%21 Oct →
mirage13–11-0.0014%21 Oct →
nuke1–13-0.0216%21 Oct →
office3–130.0627%21 Oct →
dust211–130.0226%20 Oct →
nuke6–130.0624%20 Oct →
nuke3–13-0.120%18 Oct →
nuke13–20.0316%18 Oct →
dust213–16-0.0710%18 Oct →
nuke5–13-0.0629%18 Oct →
office5–130.0517%18 Oct →
dust28–13-0.0338%18 Oct →
train7–130.0333%18 Oct →
cache10–13-0.0333%17 Oct →
nuke13–20.0932%17 Oct →
dust213–100.0214%17 Oct →
nuke13–9-0.0116%17 Oct →
dust213–110.0720%17 Oct →
anubis13–9-0.0010%17 Oct →
cache13–60.0428%17 Oct →
anubis13–70.1521%16 Oct →
office13–90.0129%16 Oct →
dust210–130.1618%16 Oct →
inferno11–130.0423%15 Oct →
inferno13–10-0.0022%15 Oct →
nuke16–120.0314%14 Oct →
inferno13–40.1518%14 Oct →
vertigo13–110.0813%14 Oct →
train12–120.0119%12 Oct →
cache10–13-0.0218%12 Oct →
dust213–7-0.0517%11 Oct →
dust213–6-0.0120%11 Oct →
ancient13–80.0317%11 Oct →
mirage2–8-0.0525%11 Oct →
nuke12–80.0440%11 Oct →

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 →

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