guesswhoisstupid

guesswhoisstupid — CS2 Stats

DE76561199088119804[U:1:1127854076]Steam profile ↗✓ No bans

1,411Tracked matches59%Win rate2021Tracked since
1,988Hours in CS10Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating15,289Purple band · top ~27.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (2 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: 15,289 +7,986 21 Feb – 6 Oct · 44 days played
6,14415,439peak 15,43921 Feb6 Oct
15,439Peak Premier in tracked matches
61Days played since 2026-02-21

Premier CS Rating

  • 150 below peak (15,439)
  • +2,687 over 30 days · improving
  • Next: Pink band at 20,000 — 4,711 to go
  • Reached: Purple band · Blue band · Light Blue band

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 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate49.1%41.3%41.8%above
Shot accuracy13.7%12.7%12.2%above
Kill/death ratio0.900.950.980.07 short
Match win rate44.8%42.6%43.3%above

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGguesswhoisstupidFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,289 · 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

Aim59
Positioning50
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWTWWLWWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −6.6pp headshot accuracy · −62ms reaction

Win rate down 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 564ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

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 (+1.5 against its own average).

Aim5.9
Utility4.6
Positioning5.0
Opening Duels3.2
Clutch1.0

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

jL

Plays most like jL 89% 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

Reaction time. 605ms 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

Aim5.9
Positioning5.0
Utility4.6
Mechanics5.3
Opening Duels3.9
Win Impact7.9

Composite 5.4/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time601ms−46ms
first ⅓ avg 648ms → last ⅓ avg 601ms
Headshot accuracy22.1%+3.6%
first ⅓ avg 18.5% → last ⅓ avg 22.1%

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

0.18Best match rating · 9–2 · inferno, 10 Apr →
48%Best headshot accuracy · 13–6 · nuke, 12 Sept →
453msFastest reaction time · 15–15 · dust2, 3 Oct →
13–1Biggest win · nuke, 29 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 61% over 18ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2615–1158%0.00
nukeB2312–1152%-0.01
infernoA1811–761%0.01
dust2B115–645%-0.01
ancientD82–625%0.01
anubisB63–350%-0.01
overpass—44–0100%0.04
cache—21–150%-0.01
office—10–10%-0.11
italy—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,956Lifetime kills
0.90K/D
1,892Matches
44.8%Match win rate · Top 50% of Level 2 players
49.1%Headshot % · Top 25% of Level 2 players
13.7%Shot accuracy · Top 50% of Level 2 players
3,802MVPs
743Hours (in match)
2,330Bombs planted
456Bombs defused

Most-used weapons

Lifetime map wins

3,117inferno
1,394nuke
1,217dust2
635vertigo
293train
237office
29cbble
13italy

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

Faceit stats

Combat

30Matches
43%Win rate
0.90Avg K/D
77.7ADR
45%Headshot %

Clutches & streaks

25%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.4616.3
Ancient2100%1.1812.0
Inferno1100%0.808.0
Dust210%1.2520.0

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.

22.5%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.8%Spray accuracy
73.7%Counter-strafing
12.0°Preaim
605msReaction time
38.0%T opening success
53.0%CT opening success
0.61Enemies flashed / flash
5.7%Flash assists
8.95HE damage / grenade
5.31Flashes / 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 12.0077° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0222%6 Oct →
anubis13–10-0.0616%4 Oct →
dust215–15-0.0516%3 Oct →
nuke13–8-0.0117%3 Oct →
mirage13–110.0118%3 Oct →
dust25–13-0.0622%3 Oct →
anubis13–5-0.0226%2 Oct →
mirage13–11-0.0410%2 Oct →
dust27–13-0.0319%2 Oct →
cache13–11-0.0233%27 Sept →
dust214–160.0222%26 Sept →
inferno16–14-0.0320%24 Sept →
mirage13–100.0424%20 Sept →
nuke9–3-0.0544%19 Sept →
mirage13–50.0620%13 Sept →
dust213–110.1327%13 Sept →
nuke13–60.0648%12 Sept →
mirage13–7-0.0925%5 Sept →
inferno10–130.0016%4 Sept →
mirage13–40.0119%31 Aug →
mirage7–13-0.0530%28 Aug →
office7–13-0.1122%25 Aug →
dust211–13-0.0417%19 Aug →
nuke13–9-0.0913%15 Aug →
inferno3–13-0.0618%15 Aug →
inferno4–13-0.0313%12 Aug →
nuke13–5-0.0546%12 Aug →
mirage7–13-0.0432%11 Aug →
nuke6–130.0123%11 Aug →
ancient13–60.0516%30 Jul →
ancient11–13-0.0414%26 Jul →
dust213–70.0311%26 Jul →
inferno10–13-0.0210%25 Jul →
mirage13–9-0.0117%19 Jul →
nuke13–7-0.0339%22 Jun →
dust213–8-0.0622%7 Jun →
nuke8–13-0.0629%24 May →
inferno9–00.1320%15 May →
ancient14–160.0613%14 May →
inferno8–130.0016%12 May →
inferno6–4-0.060%11 May →
nuke13–50.0418%9 May →
nuke9–130.0118%5 May →
cache5–13-0.0137%30 Apr →
mirage10–130.0124%26 Apr →
nuke12–16-0.0327%24 Apr →
nuke10–130.0125%18 Apr →
mirage5–130.0421%18 Apr →
mirage6–13-0.0221%15 Apr →
nuke13–16-0.0123%15 Apr →
inferno13–30.0126%15 Apr →
inferno13–60.0824%15 Apr →
nuke14–16-0.0416%12 Apr →
inferno9–20.1822%10 Apr →
anubis13–90.0321%9 Apr →
nuke8–13-0.0218%9 Apr →
ancient6–13-0.0120%9 Apr →
dust213–11-0.0325%8 Apr →
nuke5–13-0.0219%8 Apr →
ancient11–130.0119%5 Apr →
mirage7–13-0.0018%5 Apr →
nuke10–13-0.0513%4 Apr →
inferno10–50.0736%4 Apr →
italy10–130.0337%30 Mar →
inferno11–13-0.0310%29 Mar →
dust213–10-0.0114%29 Mar →
nuke13–10.1421%29 Mar →
anubis15–15-0.0216%29 Mar →
mirage13–11-0.0121%28 Mar →
mirage11–13-0.0722%25 Mar →
mirage16–130.0716%19 Mar →
mirage13–20.0532%19 Mar →
overpass13–70.0524%18 Mar →
nuke13–10-0.0111%18 Mar →
overpass13–80.0919%16 Mar →
mirage13–11-0.0325%16 Mar →
inferno13–110.0021%16 Mar →
mirage16–140.0112%15 Mar →
mirage11–130.0126%15 Mar →
mirage13–110.0513%13 Mar →
inferno16–13-0.0131%13 Mar →
nuke13–8-0.0714%10 Mar →
ancient9–13-0.0217%10 Mar →
mirage6–130.0918%9 Mar →
mirage14–160.0420%1 Mar →
mirage13–5-0.0517%27 Feb →
ancient13–60.0711%27 Feb →
inferno16–14-0.0114%27 Feb →
overpass13–11-0.0022%24 Feb →
mirage13–30.0110%23 Feb →
dust26–130.0333%23 Feb →
inferno13–8-0.0513%23 Feb →
nuke13–70.0615%23 Feb →
overpass13–100.0316%23 Feb →
mirage4–13-0.0318%23 Feb →
nuke13–60.0320%23 Feb →
ancient7–13-0.0111%22 Feb →
anubis5–130.019%22 Feb →
nuke14–160.0220%22 Feb →
inferno14–160.0123%21 Feb →

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.