DownsyndromeSquirrel

DownsyndromeSquirrel — CS2 Stats

DE76561199484800299[U:1:1524534571]Steam profile ↗✓ No bans

813Tracked matches40%Win rate2023Tracked since
342Hours in CS
CSDB Rating4.0 DevelopingSupport
Premier CS Rating16,150Purple band · top ~23.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (68 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 813 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,150 -213 14 Dec – 8 Sept · 20 days played
15,85025,247peak 25,24714 Dec8 Sept
25,619Peak Premier in tracked matches
27Days played since 2025-12-14

Premier CS Rating

  • 9,097 below peak (25,247)
  • Next: Pink band at 20,000 — 3,850 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.0%42.7%43.8%1.8% short
Shot accuracy4.3%11.2%12.0%7.7% short
Kill/death ratio0.990.991.020.03 short
Match win rate48.9%43.9%44.7%above

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDownsyndromeSquirrelFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,150 · 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

Aim44
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateLLWLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +2.8pp headshot accuracy · −14ms reaction

Win rate up 40pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 612ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim4.4
Utility4.8
Positioning4.6
Opening Duels2.0

Strong 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.

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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 51% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim4.4
Positioning4.6
Utility4.8
Mechanics4.2
Opening Duels2.6
Win Impact1.7

Composite 4.0/10 (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-0.02−0.07
first ⅓ avg 0.05 → last ⅓ avg -0.02
Reaction time588ms−11ms
first ⅓ avg 599ms → last ⅓ avg 588ms
Headshot accuracy10.7%−13.6%
first ⅓ avg 24.3% → last ⅓ avg 10.7%

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 · 13–3 · mirage, 1 Mar →
67%Best headshot accuracy · 0–7 · dust2, 10 Apr →
406msFastest reaction time · 5–13 · ancient, 6 Mar →
13–1Biggest win · mirage, 20 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 63% over 16cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.01
ancientC188–1044%0.02
nukeA1610–663%0.03
mirageB137–654%0.04
dust2C73–443%0.01
cacheD62–433%0.01
anubisD62–433%-0.00
vertigo—20–20%-0.04
office—20–20%-0.07
train—20–20%-0.02
overpass—21–150%0.00
shelter—10–10%-0.03
fachwerk—10–10%-0.01
boulder—11–0100%-0.05
italy—10–10%-0.09

Across the last 100 tracked matches.

Lifetime stats

14,727Lifetime kills
0.99K/D
888Matches
48.9%Match win rate · Top 25% of Level 4 players
42.0%Headshot %
4.3%Shot accuracy
1,872MVPs
342Hours (in match)
793Bombs planted
169Bombs defused

Most-used weapons

Lifetime map wins

2,404inferno
1,568nuke
570dust2
490vertigo
173train
138office
25italy
7cbble

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

Faceit stats

Combat

20Matches
55%Win rate
0.64Avg K/D
—ADR
29%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

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.

10.6%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.6%Spray accuracy
69.1%Counter-strafing
12.2°Preaim
592msReaction time
18.7%T opening success
51.0%CT opening success
0.52Enemies flashed / flash
5.6%Flash assists
10.13HE damage / grenade
12.41Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.172° — above the 12° mark we flag

    Aim Training →
  2. 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 10.6445% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo6–9-0.1117%15 Aug →
ancient11–130.1420%24 Jul →
cache13–70.0917%24 Jul →
nuke4–13-0.0411%17 Jul →
ancient8–13-0.064%17 Jul →
nuke13–60.027%17 Jul →
cache13–8-0.009%17 Jul →
ancient13–10-0.0313%17 Jul →
ancient13–7-0.0018%17 Jul →
inferno13–7-0.039%17 Jul →
inferno5–13-0.0013%16 Jul →
cache9–13-0.0211%16 Jul →
mirage10–13-0.064%16 Jul →
cache8–13-0.0120%16 Jul →
nuke13–100.0214%16 Jul →
inferno13–4-0.083%16 Jul →
dust28–130.009%16 Jul →
ancient10–13-0.034%16 Jul →
ancient3–13-0.038%16 Jul →
ancient9–130.0111%16 Jul →
anubis13–16-0.039%16 Jul →
dust20–13-0.060%16 Jul →
nuke7–130.0125%16 Jul →
ancient5–130.0211%16 Jul →
ancient6–13-0.0518%16 Jul →
inferno13–11-0.039%16 Jul →
inferno13–11-0.0516%16 Jul →
nuke13–100.003%15 Jul →
inferno9–130.0010%15 Jul →
inferno13–10-0.062%15 Jul →
nuke9–13-0.067%15 Jul →
cache10–13-0.0510%9 Jul →
vertigo9–130.0311%9 Jul →
office0–13-0.0327%9 Jul →
cache10–60.0110%9 Jul →
shelter9–13-0.0313%9 Jul →
fachwerk9–13-0.0111%9 Jul →
boulder13–6-0.0515%8 Jul →
train4–13-0.0526%8 Jul →
mirage9–13-0.143%8 Jul →
dust23–13-0.048%8 Jul →
ancient6–13-0.027%8 Jul →
italy7–13-0.0914%8 Jul →
inferno10–13-0.0215%8 Jul →
office1–13-0.100%8 Jul →
inferno9–13-0.0313%9 Jun →
dust20–7-0.0567%10 Apr →
mirage13–100.0429%10 Apr →
nuke11–130.0131%8 Apr →
mirage5–130.0937%25 Mar →
anubis2–13-0.0832%18 Mar →
ancient13–10-0.0020%18 Mar →
anubis10–130.0722%13 Mar →
ancient13–60.0716%13 Mar →
inferno4–130.0035%13 Mar →
anubis13–40.0620%11 Mar →
mirage13–40.0814%10 Mar →
nuke13–60.0712%10 Mar →
nuke9–130.0436%7 Mar →
inferno13–50.0527%7 Mar →
dust213–80.0638%7 Mar →
nuke13–60.0120%6 Mar →
ancient5–13-0.0314%6 Mar →
overpass13–40.0123%6 Mar →
anubis13–5-0.0322%6 Mar →
inferno9–130.0224%6 Mar →
mirage13–30.2125%1 Mar →
inferno13–60.1327%22 Feb →
inferno13–40.1010%22 Feb →
mirage13–110.0132%22 Feb →
anubis3–13-0.0021%22 Feb →
mirage9–130.0627%21 Feb →
ancient13–80.0525%21 Feb →
mirage13–10.1723%20 Feb →
inferno13–6-0.0235%20 Feb →
overpass7–13-0.0123%20 Feb →
nuke13–6-0.0116%20 Feb →
ancient13–60.1027%20 Feb →
ancient13–70.0722%20 Feb →
inferno8–130.0313%17 Feb →
inferno13–90.0831%17 Feb →
nuke13–110.1426%17 Feb →
inferno5–130.0219%12 Feb →
inferno8–130.0316%12 Feb →
nuke13–70.0318%12 Feb →
nuke5–130.0023%10 Feb →
ancient3–130.0228%10 Feb →
dust216–140.0725%10 Feb →
inferno15–150.0530%10 Feb →
ancient13–90.0614%10 Feb →
inferno9–00.0458%10 Feb →
inferno13–20.0814%10 Feb →
mirage13–90.0111%10 Feb →
mirage7–13-0.0414%10 Feb →
train4–130.0122%19 Dec →
dust213–40.1057%18 Dec →
nuke13–60.0927%18 Dec →
nuke9–60.1229%18 Dec →
mirage8–130.0221%18 Dec →
mirage13–110.0818%14 Dec →

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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