Space Pussy

Space Pussy — CS2 Stats

76561197979936310[U:1:19670582]Steam profile ↗1 game ban

3,053Tracked matches62%Win rate2020Tracked since
CSDB Rating6.6 SolidPassive Rifler
Premier CS Rating27,280Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#1235 of 38109 tracked
FaceitLevel 10 · 2,063 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGSpace PussyFACEITLevel 10 · 2,063 ELOSTANDINGTop 12.4% of rankedPREMIER27,280 · Red bandcsdb.gg/stats

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Performance scores

Aim89
Positioning41
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY56395Last 10056%Win rateLLLTWLWLWW

Last 10 vs previous 10: -30pp win rate · +0.06 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.9
Aggression3.5
Utility3.7
Positioning4.1
Opening Duels0.8
Clutch2.6

Sharp aimerStrong CT-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.

Your pro match

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: lower positioning profile; lower utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 48 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.

T-side openings. Opening success drops from 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim8.9
Positioning4.1
Utility3.7
Mechanics7.6
Opening Duels1.9
Win Impact9.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.05
first ⅓ avg 0.04 → last ⅓ avg -0.01
Reaction time570ms−27ms
first ⅓ avg 597ms → last ⅓ avg 570ms
Headshot accuracy25.9%+1.4%
first ⅓ avg 24.5% → last ⅓ avg 25.9%

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.

Highlights

0.23Best rating — nuke 13–3
130Biggest win — nuke
8Longest win streak
L3Current streak
44In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A35211460%0.03
nukeA2214864%0.04
cacheA106460%0.00
anubisS86275%0.01
mirageC83538%-0.03
ancientC83538%0.02
infernoD72529%-0.01
overpass110100%-0.00
train1010%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,900Matches
52%Win rate
1.35Avg K/D
96.0ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
28%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10046%1.2618.8
Dust28670%1.5821.6
Nuke7658%1.4620.0
Anubis5446%1.2419.9
Inferno3557%1.3419.6
Ancient2330%1.0315.4
Train1173%1.8923.3
Overpass967%1.4718.2

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.

26.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.7%Spray accuracy
84.1%Counter-strafing
7.2°Preaim
573msReaction time
21.0%T opening success
45.5%CT opening success
0.53Enemies flashed / flash
4.6%Flash assists
9.01HE damage / grenade
5.51Flashes / 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 21.0076% — below the 40% mark we flag

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 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0130%29 Aug
nuke8–130.0525%29 Aug
dust24–130.0734%29 Aug
dust215–150.0412%29 Aug
nuke13–10.0229%26 Aug
cache8–130.0532%25 Aug
nuke13–7-0.0524%24 Aug
dust28–13-0.0617%23 Aug
dust213–60.0717%22 Aug
dust213–100.1523%22 Aug
anubis13–8-0.115%19 Aug
dust213–5-0.0219%18 Aug
dust213–70.0317%17 Aug
nuke13–0-0.0527%17 Aug
nuke13–70.0623%16 Aug
dust213–5-0.0333%15 Aug
cache3–13-0.0726%13 Aug
inferno1–00.000%13 Aug
dust21–13-0.0413%13 Aug
mirage0–13-0.0735%13 Aug
mirage5–13-0.0743%13 Aug
cache13–4-0.0723%13 Aug
dust213–10-0.0626%12 Aug
dust213–1-0.0254%12 Aug
cache13–100.0441%11 Aug
dust22–3-0.0325%11 Aug
cache13–80.0640%10 Aug
cache13–3-0.0517%10 Aug
ancient1–13-0.0240%10 Aug
anubis10–1-0.0422%10 Aug
mirage7–13-0.0735%10 Aug
dust21–130.0229%10 Aug
nuke6–13-0.0218%9 Aug
dust21–130.0226%9 Aug
nuke12–120.0328%5 Aug
dust216–130.0218%5 Aug
mirage16–12-0.029%5 Aug
dust213–10-0.0140%5 Aug
cache13–70.0031%4 Aug
dust213–00.1826%4 Aug
mirage13–110.039%4 Aug
ancient13–90.0229%4 Aug
ancient9–130.0422%3 Aug
cache9–130.0237%3 Aug
nuke13–80.0522%3 Aug
anubis7–130.0420%3 Aug
dust213–30.0827%3 Aug
dust29–130.0329%2 Aug
dust213–40.0346%2 Aug
dust216–120.0215%16 Jul
cache13–100.0125%16 Jul
nuke13–30.1130%16 Jul
nuke9–13-0.0019%4 Jul
dust25–130.0137%4 Jul
dust213–50.0932%27 Jun
nuke19–150.0216%24 Jun
nuke4–13-0.0718%22 Jun
inferno4–13-0.0415%22 Jun
overpass16–13-0.0015%22 Jun
ancient13–7-0.0112%22 Jun
mirage15–15-0.0715%22 Jun
mirage11–130.0020%21 Jun
dust213–50.0819%17 Jun
nuke13–40.0430%17 Jun
anubis13–10-0.0219%17 Jun
dust213–100.0724%17 Jun
dust211–130.0024%16 Jun
dust213–70.0717%16 Jun
inferno2–130.0114%16 Jun
dust213–90.0822%16 Jun
inferno6–13-0.0221%15 Jun
ancient3–130.0318%15 Jun
nuke13–80.0133%12 Jun
dust26–13-0.0620%11 Jun
dust26–130.0931%11 Jun
dust213–100.0227%11 Jun
anubis13–40.0839%11 Jun
dust29–130.0221%11 Jun
mirage13–60.0320%11 Jun
nuke13–90.1121%11 Jun
nuke13–70.1331%9 Jun
nuke10–130.1229%9 Jun
ancient15–150.0818%9 Jun
nuke7–13-0.0525%8 Jun
dust213–70.0128%8 Jun
dust213–80.0546%7 Jun
nuke13–90.0123%7 Jun
ancient7–130.0422%7 Jun
anubis7–00.0828%7 Jun
ancient13–11-0.0217%7 Jun
nuke13–50.1331%5 Jun
anubis13–00.0822%5 Jun
dust26–13-0.0124%3 Jun
nuke9–13-0.0226%3 Jun
inferno13–110.0022%3 Jun
inferno10–13-0.0314%3 Jun
nuke13–30.2325%1 Jun
train12–120.1132%1 Jun
anubis8–13-0.007%1 Jun
cache5–130.0136%29 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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