per aspera ad astra

per aspera ad astra — CS2 Stats

IL76561198040538320[U:1:80272592]Steam profile ↗✓ No bans

1,201Tracked matches62%Win rate2021Tracked since
2,859Hours in CS10Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating23,189Top 25% of 215,558 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#42179 of 261688 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 23,189 → 23,189
+5Tracked matches · now 1,201
−4.6ppWin rate · 66.7% → 62.1%

Rating over time

Premier CS Rating: 23,189 +593 12 Sept – 11 Nov · 18 days played
22,00723,189peak 23,18912 Sept11 Nov
23,488Peak Premier in tracked matches
34Days played since 2026-09-12

Premier CS Rating

  • At peak — 23,189
  • +1,182 over 30 days · improving
  • Next: Red band at 25,000 — 1,811 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-11-02
  • Purple band first seen 2026-11-02

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 8 among CSDB-tracked players (n=15,878), 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 8 medianLevel 9 medianvs Level 9
Headshot rate44.9%46.8%48.2%3.3% short
Shot accuracy7.7%13.0%13.2%5.5% short
Kill/death ratio1.091.061.07above
Match win rate44.6%46.3%46.9%2.3% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGper aspera ad astraFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,189 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning69
Utility67

0–100 skill scores via Leetify.

Recent form

COLD58–38–4Last 10058%Win rateLLWTWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.7pp headshot accuracy · −1ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 519ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 500ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 501ms

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).

Aim7.3
Utility6.7
Positioning6.9
Opening Duels4.8
Clutch4.2

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning6.9
Utility6.7
Mechanics5.7
Opening Duels5.7
Win Impact9.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time515ms−20ms
first ⅓ avg 535ms → last ⅓ avg 515ms
Headshot accuracy13.4%−3.7%
first ⅓ avg 17.1% → last ⅓ avg 13.4%

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

0.21Best match rating · 13–6 · ancient, 9 Oct →
33%Best headshot accuracy · 13–8 · inferno, 21 Sept →
344msFastest reaction time · 5–13 · inferno, 16 Sept →
13–0Biggest win · nuke, 6 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 77% over 22mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB3116–1552%0.01
ancientS2217–577%0.04
anubisS1913–668%0.02
nukeC146–843%0.02
mirageC52–340%0.04
dust2C52–340%0.01
cache—31–233%-0.02
overpass—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,666Lifetime kills
1.09K/D · Top 50% of Level 8 players
4,527Matches
44.6%Match win rate
44.9%Headshot %
7.7%Shot accuracy
13,604MVPs
1,987Hours (in match)
4,764Bombs planted
1,210Bombs defused

Most-used weapons

AK-4743,562
AWP5,741
P2502,447
MP92,067
FAMAS1,470

Lifetime map wins

8,025inferno
3,416nuke
1,367dust2
535train
344cbble
335vertigo
290dust
139italy

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

Faceit stats

Combat

130Matches
59%Win rate
1.35Avg K/D
92.7ADR
38%Headshot %

Clutches & streaks

41%1v1 clutch win
36%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2941%1.1619.5
Ancient2972%1.6420.0
Inferno2370%1.4418.3
Anubis1963%1.4318.8
Nuke1164%1.6517.9
Vertigo650%1.0915.7
Overpass333%0.7911.3
Dust2250%0.7410.0

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.

13.9%Headshot accuracy
36.6%Accuracy (enemy spotted)
41.6%Spray accuracy
75.5%Counter-strafing
10.3°Preaim
513msReaction time
54.6%T opening success
51.3%CT opening success
0.68Enemies flashed / flash
5.3%Flash assists
11.36HE damage / grenade
11.63Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.9031% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0115%14 Nov →
anubis14–160.0515%13 Nov →
inferno13–80.0810%13 Nov →
inferno15–15-0.0011%11 Nov →
anubis13–90.0712%11 Nov →
inferno3–13-0.058%4 Nov →
nuke9–13-0.0114%4 Nov →
inferno8–13-0.0815%4 Nov →
nuke13–11-0.0020%3 Nov →
ancient7–130.0519%2 Nov →
ancient13–60.1014%2 Nov →
anubis10–130.0814%2 Nov →
inferno8–80.0111%31 Oct →
overpass9–60.078%31 Oct →
ancient4–13-0.0313%31 Oct →
nuke13–30.0213%31 Oct →
anubis13–80.0417%31 Oct →
nuke5–13-0.0613%30 Oct →
inferno13–10-0.0116%30 Oct →
mirage13–100.1012%25 Oct →
inferno13–80.0813%25 Oct →
anubis13–11-0.0217%21 Oct →
inferno6–13-0.054%21 Oct →
nuke16–140.0213%20 Oct →
anubis13–60.0714%20 Oct →
ancient13–7-0.0414%19 Oct →
ancient13–50.0822%19 Oct →
ancient13–90.1015%19 Oct →
inferno13–60.016%19 Oct →
anubis4–13-0.0610%18 Oct →
inferno13–80.0416%18 Oct →
ancient13–20.0417%14 Oct →
ancient13–60.048%14 Oct →
nuke13–100.0215%14 Oct →
inferno13–70.0315%12 Oct →
inferno8–13-0.076%12 Oct →
anubis13–70.069%12 Oct →
anubis11–13-0.0213%12 Oct →
inferno13–70.0410%9 Oct →
ancient13–60.2116%9 Oct →
nuke11–13-0.0421%7 Oct →
mirage7–13-0.0515%7 Oct →
mirage13–50.1214%7 Oct →
anubis13–10-0.028%6 Oct →
nuke13–00.1616%6 Oct →
ancient13–50.0319%6 Oct →
mirage8–130.0312%6 Oct →
anubis13–30.0218%5 Oct →
inferno16–130.1018%5 Oct →
ancient13–40.0114%4 Oct →
ancient13–70.1319%4 Oct →
anubis13–50.023%3 Oct →
inferno13–30.1214%3 Oct →
ancient13–5-0.019%3 Oct →
inferno1–13-0.0623%1 Oct →
cache10–13-0.0611%1 Oct →
cache4–13-0.0225%1 Oct →
ancient1–13-0.059%1 Oct →
anubis13–80.0214%1 Oct →
dust213–20.0615%1 Oct →
inferno13–90.0315%29 Sept →
inferno6–13-0.0314%29 Sept →
ancient13–80.0418%29 Sept →
dust213–16-0.0018%28 Sept →
ancient13–110.0113%28 Sept →
inferno13–110.0012%28 Sept →
anubis8–13-0.0114%28 Sept →
ancient13–60.115%28 Sept →
ancient13–16-0.0016%27 Sept →
dust213–70.0923%27 Sept →
inferno13–50.0329%27 Sept →
nuke14–16-0.0118%27 Sept →
dust23–13-0.0513%27 Sept →
nuke15–150.069%27 Sept →
inferno10–13-0.0213%23 Sept →
anubis13–9-0.0515%23 Sept →
inferno12–160.0511%23 Sept →
inferno13–80.0819%22 Sept →
anubis13–50.0112%22 Sept →
anubis13–40.0412%21 Sept →
ancient11–13-0.0320%21 Sept →
inferno13–80.0533%21 Sept →
cache13–90.0216%20 Sept →
inferno7–130.018%20 Sept →
nuke4–13-0.0221%20 Sept →
inferno16–14-0.0221%19 Sept →
nuke11–130.0914%19 Sept →
inferno9–13-0.0314%16 Sept →
inferno5–13-0.0115%16 Sept →
nuke11–13-0.0119%15 Sept →
ancient13–110.0316%15 Sept →
ancient16–140.0424%15 Sept →
nuke13–11-0.0113%14 Sept →
mirage9–13-0.0315%14 Sept →
dust24–13-0.0527%14 Sept →
inferno15–150.0115%14 Sept →
inferno6–13-0.0310%14 Sept →
ancient16–14-0.0318%12 Sept →
anubis13–90.0024%12 Sept →
inferno13–00.1026%12 Sept →

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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