Autistus Spasticus

Autistus Spasticus — CS2 Stats

MS76561199119998480[U:1:1159732752]Steam profile ↗✓ No bans

590Tracked matches41%Win rate2023Tracked since
345Hours in CS
CSDB Rating4.9 DevelopingPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 590 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,285 +4,927 12 Nov – 21 Dec · 17 days played
13,35818,285peak 18,28512 Nov21 Dec
18,285Peak Premier in tracked matches
32Days played since 2025-11-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 26 Sep 2026 and 30 Oct 2026.

Measured 26 Sep 2026 → 30 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim58
Positioning61
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateLTWLLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.08 avg rating · +0.8pp headshot accuracy · −50ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 522ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

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 (+2.1 against its own average).

Aim5.8
Utility3.3
Positioning6.1
Opening Duels4.1
Clutch2.6

Limited utility dependence

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 81% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 53% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim5.8
Positioning6.1
Utility3.3
Mechanics5.9
Opening Duels3.6
Win Impact1.9

Composite 4.9/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time538ms−77ms
first ⅓ avg 615ms → last ⅓ avg 538ms
Headshot accuracy17.3%+4.1%
first ⅓ avg 13.2% → last ⅓ avg 17.3%

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

0.17Best match rating · 9–3 · inferno, 21 Aug →
43%Best headshot accuracy · 9–6 · inferno, 18 Aug →
406msFastest reaction time · 9–6 · inferno, 22 Aug →
13–1Biggest win · mirage, 21 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 80% over 10cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA3621–1558%-0.02
mirageS108–280%0.02
cacheD91–811%0.01
overpassA95–456%-0.02
nukeC73–443%-0.03
trainS75–271%-0.02
ancientA53–260%0.02
dust2—42–250%-0.01
boulder—42–250%-0.03
fachwerk—30–30%-0.01
poseidon—32–167%0.01
debris—10–10%-0.24
shelter—10–10%-0.05
anubis—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

17,880Lifetime kills
0.75K/D
1,137Matches
36.6%Match win rate
44.5%Headshot % · Top 50% of tracked players
4.8%Shot accuracy
1,747MVPs
345Hours (in match)
908Bombs planted
190Bombs defused

Most-used weapons

Lifetime map wins

2,222inferno
889dust2
617vertigo
530train
387nuke
28office
9italy
5ar_shoots

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

Faceit stats

Combat

8Matches
62%Win rate
0.92Avg K/D
70.6ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.679.0
Inferno2100%1.0822.5
Nuke10%0.8214.0
Dust21100%0.9415.0
Ancient1100%1.4516.0

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.

15.3%Headshot accuracy
33.7%Accuracy (enemy spotted)
35.8%Spray accuracy
76.8%Counter-strafing
10.6°Preaim
602msReaction time
35.9%T opening success
52.8%CT opening success
0.55Enemies flashed / flash
0.8%Flash assists
3.48HE damage / grenade
3.34Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3377 — below the 4 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 35.8547% — below the 40% mark we flag

Spend your practice time on Cache

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke6–9-0.1821%1 Sept →
inferno8–8-0.067%1 Sept →
inferno9–50.0024%1 Sept →
mirage6–130.1121%24 Aug →
inferno2–9-0.159%24 Aug →
inferno7–13-0.0511%22 Aug →
mirage7–00.0533%22 Aug →
dust213–110.0514%22 Aug →
inferno6–9-0.1811%22 Aug →
inferno9–60.0426%22 Aug →
inferno9–20.1527%22 Aug →
mirage9–130.0213%21 Aug →
mirage13–10.0514%21 Aug →
boulder12–12-0.047%21 Aug →
fachwerk6–13-0.0414%21 Aug →
cache8–13-0.0124%21 Aug →
poseidon9–30.1139%21 Aug →
inferno9–30.178%21 Aug →
poseidon3–9-0.1013%21 Aug →
nuke9–50.0611%21 Aug →
inferno9–40.078%20 Aug →
inferno9–4-0.0310%20 Aug →
nuke8–80.0619%20 Aug →
inferno2–9-0.190%20 Aug →
inferno9–1-0.0336%20 Aug →
overpass4–9-0.128%20 Aug →
inferno4–9-0.1010%19 Aug →
inferno9–30.0414%19 Aug →
inferno8–80.1324%19 Aug →
nuke9–7-0.0223%18 Aug →
inferno9–6-0.0643%18 Aug →
debris1–9-0.2418%18 Aug →
fachwerk9–13-0.0211%15 Aug →
train13–10-0.0820%15 Aug →
cache11–130.0215%15 Aug →
inferno13–8-0.0511%27 Jul →
boulder13–7-0.0415%27 Jul →
inferno7–9-0.0411%27 Jul →
inferno9–50.0312%27 Jul →
poseidon9–60.0317%27 Jul →
inferno5–9-0.067%27 Jul →
boulder3–13-0.0616%13 Jul →
fachwerk12–120.0424%13 Jul →
boulder13–100.0324%13 Jul →
shelter12–12-0.0525%13 Jul →
cache11–130.0610%4 Jul →
cache2–13-0.0115%4 Jul →
inferno7–13-0.0926%4 Jun →
inferno13–5-0.0221%4 Jun →
cache7–13-0.019%4 Jun →
inferno9–130.0214%3 Jun →
cache5–13-0.090%3 Jun →
cache5–130.0515%1 Jun →
cache10–13-0.027%1 Jun →
cache13–60.0611%1 Jun →
mirage13–60.0620%21 Dec →
mirage16–13-0.039%16 Dec →
overpass13–20.0017%16 Dec →
inferno16–13-0.0615%16 Dec →
anubis10–13-0.0112%14 Dec →
overpass13–4-0.0114%10 Dec →
overpass13–10-0.0112%8 Dec →
train13–110.0413%8 Dec →
train13–5-0.0412%7 Dec →
inferno13–80.0011%7 Dec →
dust213–30.0015%7 Dec →
inferno13–6-0.0418%7 Dec →
dust27–13-0.0720%4 Dec →
overpass13–100.0414%4 Dec →
inferno5–13-0.0512%4 Dec →
train13–10-0.047%3 Dec →
overpass11–13-0.038%3 Dec →
mirage13–70.0015%2 Dec →
train10–130.0122%1 Dec →
ancient13–9-0.0013%1 Dec →
ancient9–130.0113%30 Nov →
mirage13–70.0114%30 Nov →
nuke5–13-0.0619%30 Nov →
inferno2–13-0.069%30 Nov →
inferno13–6-0.0310%30 Nov →
inferno13–9-0.0615%30 Nov →
inferno10–130.0215%27 Nov →
dust215–15-0.0112%25 Nov →
overpass2–13-0.0719%25 Nov →
inferno13–8-0.0020%25 Nov →
ancient2–13-0.080%16 Nov →
inferno8–80.0311%16 Nov →
overpass13–60.0213%16 Nov →
inferno13–20.0717%16 Nov →
overpass6–13-0.0117%15 Nov →
train7–130.019%14 Nov →
mirage13–8-0.076%14 Nov →
mirage13–40.0112%14 Nov →
inferno13–11-0.0110%14 Nov →
nuke5–13-0.0615%14 Nov →
ancient13–30.1121%13 Nov →
inferno13–80.0420%13 Nov →
ancient13–80.057%13 Nov →
nuke13–10.0212%13 Nov →
train13–6-0.0010%12 Nov →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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