Spaceydogey

Spaceydogey — CS2 Stats

BE76561198125558320[U:1:165292592]Steam profile ↗✓ No bans

1,368Tracked matches66%Win rate2020Tracked since
2,833Hours in CS12Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating19,298Top 50% of 212,379 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#95399 of 259194 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 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: 19,298 +2,960 19 Aug – 26 Oct · 14 days played
16,33819,298peak 19,29819 Aug26 Oct
19,298Peak Premier in tracked matches
27Days played since 2026-08-18

Premier CS Rating

  • At peak — 19,298
  • +1,406 over 30 days · improving
  • Next: Pink band at 20,000 — 702 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

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=10,505), 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 rate50.6%41.8%42.7%above
Shot accuracy10.6%12.2%11.2%0.7% short
Kill/death ratio0.770.980.990.22 short
Match win rate37.0%43.3%43.9%6.9% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpaceydogeyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER19,298 · Purple 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

Aim83
Positioning64
Utility41

0–100 skill scores via Leetify.

Recent form

HOT46–39–15Last 10046%Win rateWWWWWLWWWT

Last 10 vs previous 10: +60pp win rate · +0.06 avg rating · −6.7pp headshot accuracy · −37ms reaction

Win rate up 60pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 570ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 25%
  • Avg reaction 557ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 576ms

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 (+1.3 against its own average).

Aim8.3
Utility4.1
Positioning6.4
Opening Duels4.9

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 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 63% on T to 44% on CT — first contacts on the defending side are being lost.

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

Aim8.3
Positioning6.4
Utility4.1
Mechanics7.1
Opening Duels6.0
Win Impact10.0

Composite 7.1/10 (Strong), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time581ms+29ms
first ⅓ avg 551ms → last ⅓ avg 581ms
Headshot accuracy26.4%+0.6%
first ⅓ avg 25.8% → last ⅓ avg 26.4%

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

0.30Best match rating · 9–4 · debris, 6 Sept →
64%Best headshot accuracy · 9–7 · poseidon, 29 Sept →
367msFastest reaction time · 5–9 · inferno, 6 Sept →
13–3Biggest win · nuke, 27 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
12–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 86% over 7infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
nukeC198–1142%-0.01
infernoD175–1229%-0.04
debrisS107–370%0.07
cacheA95–456%0.00
vertigoD93–633%0.04
poseidonC83–538%-0.00
dust2S76–186%0.04
overpassA74–357%0.00
mirageA53–260%-0.01
anubis—31–233%-0.00
ancient—31–233%0.00
eldorado—30–30%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,623Lifetime kills
0.77K/D
5,442Matches
37.0%Match win rate
50.6%Headshot % · Top 25% of Level 3 players
10.6%Shot accuracy
13,790MVPs
1,533Hours (in match)
3,892Bombs planted
1,015Bombs defused

Most-used weapons

AK-4729,547
AWP5,294
SSG 082,136
FAMAS1,430
MP91,028
P250973

Lifetime map wins

9,805dust2
3,521nuke
3,287inferno
1,966vertigo
1,261train
436lake
393cbble
256office

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

Faceit stats

Combat

7Matches
43%Win rate
0.74Avg K/D
—ADR
48%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLWL

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.

26.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
37.1%Spray accuracy
82.0%Counter-strafing
9.8°Preaim
535msReaction time
63.4%T opening success
44.5%CT opening success
0.46Enemies flashed / flash
4.0%Flash assists
7.46HE damage / grenade
5.65Flashes / 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 0.4589 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0818%26 Oct →
inferno9–4-0.0733%26 Oct →
anubis13–80.0726%26 Oct →
ancient13–110.0337%26 Oct →
dust27–9-0.0218%17 Oct →
ancient4–13-0.0220%17 Oct →
cache13–110.1132%7 Oct →
mirage16–140.0424%7 Oct →
overpass9–20.2026%7 Oct →
debris8–80.0613%7 Oct →
inferno5–90.0129%7 Oct →
vertigo9–60.1241%7 Oct →
eldorado8–8-0.0523%3 Oct →
cache1–13-0.1427%3 Oct →
inferno8–13-0.0429%3 Oct →
nuke8–8-0.0516%2 Oct →
debris4–90.0042%2 Oct →
vertigo5–90.0727%2 Oct →
poseidon9–70.0064%29 Sept →
inferno8–8-0.0615%29 Sept →
overpass7–9-0.0629%24 Sept →
debris9–20.1019%24 Sept →
nuke13–50.0532%23 Sept →
mirage13–6-0.0521%22 Sept →
cache13–9-0.0411%18 Sept →
eldorado3–9-0.0919%13 Sept →
nuke8–13-0.0121%13 Sept →
vertigo9–40.1830%13 Sept →
debris9–4-0.0918%13 Sept →
nuke7–90.0619%13 Sept →
inferno1–9-0.2233%13 Sept →
nuke13–5-0.0241%11 Sept →
inferno9–70.1319%11 Sept →
dust213–60.0431%6 Sept →
dust213–50.0336%6 Sept →
inferno5–9-0.1511%6 Sept →
debris9–40.3027%6 Sept →
dust213–100.1433%5 Sept →
dust213–80.0222%5 Sept →
mirage4–13-0.0417%5 Sept →
debris9–50.0530%5 Sept →
overpass9–20.1317%5 Sept →
nuke4–9-0.1217%5 Sept →
nuke3–9-0.1326%5 Sept →
nuke9–2-0.056%4 Sept →
poseidon9–10.144%4 Sept →
inferno8–8-0.0522%3 Sept →
vertigo5–9-0.0625%3 Sept →
inferno16–14-0.0219%3 Sept →
nuke9–2-0.0123%3 Sept →
anubis7–13-0.0431%3 Sept →
overpass9–20.0822%3 Sept →
inferno5–9-0.0830%31 Aug →
eldorado6–9-0.0722%31 Aug →
poseidon8–80.0533%31 Aug →
mirage13–8-0.0123%30 Aug →
anubis8–13-0.0433%30 Aug →
vertigo8–8-0.0332%30 Aug →
nuke4–9-0.0914%30 Aug →
dust213–110.0535%30 Aug →
ancient5–13-0.0124%30 Aug →
poseidon4–9-0.0732%30 Aug →
poseidon7–9-0.0923%29 Aug →
vertigo9–7-0.0541%29 Aug →
inferno4–9-0.1121%29 Aug →
nuke8–8-0.0725%29 Aug →
debris9–40.1733%29 Aug →
dust212–12-0.0118%28 Aug →
nuke13–50.0124%28 Aug →
cache1–4-0.0233%28 Aug →
inferno6–9-0.1139%28 Aug →
debris5–90.0120%28 Aug →
vertigo8–80.0336%28 Aug →
overpass3–9-0.1211%28 Aug →
inferno9–60.0643%28 Aug →
nuke8–80.0238%28 Aug →
poseidon2–9-0.1131%28 Aug →
vertigo8–8-0.0223%27 Aug →
overpass9–6-0.0816%27 Aug →
poseidon9–30.0318%27 Aug →
inferno6–90.0020%27 Aug →
nuke13–30.0832%27 Aug →
nuke8–80.0129%27 Aug →
debris9–70.0227%27 Aug →
mirage10–13-0.0127%24 Aug →
nuke13–110.0229%24 Aug →
cache9–13-0.0116%24 Aug →
cache13–40.1224%23 Aug →
cache8–13-0.0728%23 Aug →
cache13–90.0134%23 Aug →
nuke6–90.0013%23 Aug →
inferno9–40.0421%23 Aug →
inferno8–80.0038%22 Aug →
overpass7–9-0.130%20 Aug →
nuke13–90.0521%19 Aug →
debris9–60.0820%18 Aug →
poseidon7–90.0439%18 Aug →
vertigo6–90.0736%18 Aug →
inferno8–8-0.0815%18 Aug →
nuke4–9-0.0332%18 Aug →

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.