God's Upper Decky

God's Upper Decky — CS2 Stats

76561198211105673[U:1:250839945]Steam profile ↗✓ No bans

676Tracked matches33%Win rate2020Tracked since
CSDB Rating2.6 LearningPositional Player
WingmanSilver Elite Master
Ladder ranks via Leetify

Performance scores

Aim27
Positioning31
Utility7

0–100 skill scores via Leetify.

Recent form

COLD31–60–9Last 10031%Win rateLLLLWLLLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +5.2pp headshot accuracy · +120ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 742ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 849ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 789ms

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).

Aim2.7
Utility0.7
Positioning3.1
Opening Duels1.1

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 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 754ms 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

Aim2.7
Positioning3.1
Utility0.7
Mechanics6.5
Opening Duels1.1
Win Impact0.0

Composite 2.6/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time764ms+78ms
first ⅓ avg 686ms → last ⅓ avg 764ms
Headshot accuracy15.3%+0.6%
first ⅓ avg 14.8% → last ⅓ avg 15.3%

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

0.16Best match rating · 9–3 · nuke, 7 Feb →
44%Best headshot accuracy · 2–13 · dust2, 18 Oct →
422msFastest reaction time · 10–13 · nuke, 24 Jul →
13–1Biggest win · mirage, 18 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
10–10In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 60% over 5vertigoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC4015–2538%-0.04
dust2D226–1627%-0.04
mirageD175–1229%-0.04
vertigoD60–60%-0.04
infernoA53–260%-0.02
assembly—41–325%-0.04
ancient—20–20%-0.02
overpass—11–0100%-0.09
brewery—10–10%-0.18
train—10–10%-0.04
office—10–10%-0.18

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.0%Headshot accuracy
25.3%Accuracy (enemy spotted)
27.4%Spray accuracy
79.4%Counter-strafing
9.6°Preaim
754msReaction time
28.5%T opening success
39.1%CT opening success
0.37Enemies flashed / flash
4.2%Flash assists
9.71HE damage / grenade
2.46Flashes / 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 13.9595% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 754.2606ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.366 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.1120%21 Nov →
nuke9–13-0.0313%22 Oct →
nuke9–13-0.0615%21 Oct →
vertigo11–13-0.0417%18 Oct →
nuke13–4-0.019%18 Oct →
dust22–13-0.0744%18 Oct →
inferno4–13-0.1212%16 Oct →
nuke4–13-0.0510%16 Oct →
dust213–50.0116%16 Oct →
nuke13–6-0.0213%15 Oct →
nuke12–12-0.0217%14 Oct →
mirage0–13-0.0612%9 Oct →
ancient6–13-0.045%6 Oct →
dust211–13-0.0123%2 Oct →
nuke9–13-0.0416%25 Sept →
dust25–13-0.035%25 Sept →
nuke13–60.027%24 Sept →
dust21–13-0.169%24 Sept →
overpass2–0-0.090%24 Sept →
dust211–13-0.0223%21 Sept →
nuke13–9-0.093%20 Sept →
brewery4–9-0.1833%15 Sept →
nuke9–50.0321%15 Sept →
vertigo7–90.0127%11 Sept →
nuke7–9-0.0325%11 Sept →
inferno9–10.1217%10 Sept →
nuke9–60.0619%10 Sept →
nuke6–9-0.1817%10 Sept →
vertigo8–13-0.017%10 Sept →
mirage13–11-0.059%10 Sept →
nuke13–110.0321%9 Sept →
mirage12–12-0.0413%4 Sept →
dust211–13-0.009%3 Sept →
mirage12–12-0.046%17 Mar →
dust210–13-0.1122%15 Mar →
nuke7–9-0.1325%2 Mar →
mirage4–13-0.0713%22 Feb →
inferno13–11-0.0518%8 Feb →
mirage8–13-0.0717%8 Feb →
nuke9–70.0716%8 Feb →
nuke5–9-0.0924%8 Feb →
nuke9–30.1611%7 Feb →
nuke8–8-0.0212%7 Feb →
nuke7–90.013%5 Feb →
dust212–12-0.046%3 Feb →
nuke3–9-0.1812%3 Feb →
nuke9–20.0615%3 Feb →
vertigo6–9-0.0912%3 Feb →
nuke13–7-0.0714%31 Jan →
dust213–100.018%31 Jan →
train2–9-0.0415%27 Jan →
nuke9–7-0.058%25 Jan →
nuke7–13-0.056%21 Jan →
inferno13–7-0.1012%13 Jan →
dust212–120.0820%2 Jan →
mirage13–8-0.0424%14 Dec →
dust28–10-0.0918%11 Nov →
mirage4–8-0.0225%26 Oct →
dust213–50.0118%28 Sept →
mirage13–90.0519%25 Sept →
mirage13–1-0.0114%18 Sept →
mirage4–110.0319%16 Sept →
mirage7–13-0.0914%10 Sept →
nuke2–9-0.1311%7 Sept →
nuke7–90.0135%6 Sept →
vertigo5–13-0.0418%3 Sept →
mirage3–13-0.0222%20 Aug →
nuke13–11-0.0825%17 Aug →
dust27–13-0.0616%14 Aug →
dust29–13-0.0115%13 Aug →
dust29–13-0.0913%12 Aug →
nuke1–9-0.240%3 Aug →
assembly3–9-0.0321%31 Jul →
nuke8–80.005%31 Jul →
mirage7–13-0.0716%30 Jul →
assembly8–8-0.1111%25 Jul →
nuke9–7-0.0425%25 Jul →
nuke5–13-0.0213%25 Jul →
assembly8–8-0.0221%24 Jul →
nuke10–13-0.066%24 Jul →
dust213–11-0.028%24 Jul →
nuke10–13-0.1210%24 Jul →
assembly9–40.0213%24 Jul →
dust213–10-0.0114%23 Jul →
mirage13–11-0.027%22 Jul →
inferno9–130.028%22 Jul →
nuke2–13-0.1014%20 Jul →
dust26–13-0.0926%20 Jul →
vertigo8–13-0.0714%20 Jul →
dust20–13-0.0818%19 Jul →
dust29–13-0.0218%18 Jul →
nuke13–80.0222%18 Jul →
nuke7–130.0215%17 Jul →
mirage2–13-0.0719%17 Jul →
mirage10–13-0.070%17 Jul →
dust213–7-0.0338%16 Jul →
nuke7–13-0.0717%16 Jul →
nuke6–9-0.0927%16 Jul →
office1–13-0.180%15 Jul →
ancient9–13-0.0014%14 Jul →

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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