DeadShot☁

DeadShot☁ — CS2 Stats

AL76561198281687537[U:1:321421809]Steam profile ↗✓ No bans

1,535Tracked matches30%Win rate2020Tracked since
3,109Hours in CS14Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,535
0.0ppWin rate · 30.0% → 30.0%

Rating over time

Premier CS Rating: 7,007 -1,551 30 Aug – 28 Jun · 31 days played
6,36510,511peak 10,51130 Aug28 Jun
10,637Peak Premier in tracked matches
53Days played since 2025-08-14

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

MetricLast 30Previous 30Change
Matches37——
Win rate51%——
K/D1.28——
Headshot %51%——

Measured 31 Aug 2026 → 1 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

Aim52
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateLLWLLLLWWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −3.8pp headshot accuracy · −129ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 683ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 670ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 734ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.7 against its own average).

Aim5.2
Utility3.2
Positioning4.2
Opening Duels0.6
Clutch6.2

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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. 734ms 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

Aim5.2
Positioning4.2
Utility3.2
Mechanics6.2
Opening Duels0.8
Win Impact0.0

Composite 3.9/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time729ms−23ms
first ⅓ avg 753ms → last ⅓ avg 729ms
Headshot accuracy21.1%−3.0%
first ⅓ avg 24.0% → last ⅓ avg 21.1%

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

0.14Best match rating · 13–2 · anubis, 15 Jul →
43%Best headshot accuracy · 7–13 · inferno, 31 Aug →
563msFastest reaction time · 13–3 · inferno, 30 Mar →
13–1Biggest win · mirage, 29 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–11In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 60% over 20ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%-0.01
dust2A2012–860%-0.01
infernoC177–1041%-0.01
nukeB137–654%-0.01
ancientC83–538%0.01
cache—40–40%-0.05
anubis—42–250%0.05
overpass—43–175%0.05
train—32–167%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,399Lifetime kills
0.95K/D
4,910Matches
38.4%Match win rate
48.6%Headshot % · Top 50% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
9,408MVPs
1,923Hours (in match)
4,170Bombs planted
1,111Bombs defused

Most-used weapons

AK-4728,647
AWP12,505
FAMAS1,931
SG 5531,567
P2501,370

Lifetime map wins

10,292inferno
6,124dust2
5,411nuke
3,504vertigo
1,405train
241office
125cbble
38safehouse

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

Faceit stats

Combat

305Matches
50%Win rate
1.01Avg K/D
68.0ADR
45%Headshot %

Clutches & streaks

51%1v1 clutch win
15%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3345%1.0215.6
Inferno1346%0.7511.3
Dust21020%0.7312.5
Ancient956%0.8712.9
Anubis7100%1.2315.4
Vertigo250%1.1113.5
Nuke2100%0.8614.5
Overpass1100%0.6210.0

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.

22.0%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.5%Spray accuracy
77.7%Counter-strafing
8.8°Preaim
734msReaction time
26.2%T opening success
36.3%CT opening success
0.36Enemies flashed / flash
4.6%Flash assists
7.51HE damage / grenade
7.87Flashes / 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 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 734.4854ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.364 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 26.2095% — below the 40% mark we flag

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.

38% 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
mirage14–160.0416%26 Sept →
cache10–13-0.0122%3 Sept →
mirage13–1-0.059%29 Aug →
inferno11–13-0.0624%24 Jul →
dust211–130.0431%24 Jul →
mirage2–13-0.0325%24 Jul →
dust24–13-0.0414%20 Jul →
anubis13–20.1417%15 Jul →
mirage13–80.0927%15 Jul →
mirage11–130.0018%13 Jul →
cache0–13-0.0838%9 Jul →
ancient12–16-0.0222%28 Jun →
mirage6–13-0.0233%28 Jun →
anubis9–13-0.0017%26 Jun →
mirage5–13-0.0317%26 Jun →
nuke6–13-0.0318%26 Jun →
cache2–13-0.0717%13 May →
cache11–13-0.0634%1 May →
inferno4–13-0.0130%1 May →
inferno16–14-0.0415%18 Apr →
nuke8–13-0.0332%18 Apr →
ancient3–13-0.010%12 Apr →
mirage13–30.029%12 Apr →
ancient9–130.009%12 Apr →
mirage5–130.0226%12 Apr →
nuke13–10-0.0721%4 Apr →
mirage13–8-0.0426%4 Apr →
mirage10–13-0.0534%30 Mar →
inferno13–3-0.0231%30 Mar →
inferno13–40.0314%21 Mar →
mirage8–130.0024%21 Mar →
dust213–2-0.049%21 Mar →
dust213–3-0.0117%21 Mar →
ancient13–70.0619%17 Mar →
mirage13–6-0.0120%16 Mar →
dust210–13-0.0127%15 Mar →
anubis3–13-0.0334%15 Mar →
dust27–130.0319%14 Mar →
overpass11–13-0.0332%14 Mar →
mirage13–20.0824%14 Mar →
dust216–140.0225%14 Mar →
nuke13–50.0633%8 Mar →
inferno9–130.0317%8 Mar →
mirage13–70.0223%7 Mar →
mirage11–13-0.0111%6 Mar →
ancient13–40.1238%6 Mar →
mirage11–13-0.0219%2 Mar →
dust211–13-0.0717%21 Feb →
mirage13–3-0.0327%20 Feb →
anubis13–20.0734%20 Feb →
overpass13–100.0825%3 Feb →
inferno7–130.0120%3 Feb →
dust213–10-0.0225%1 Feb →
dust213–60.0235%11 Jan →
nuke13–80.0124%11 Jan →
train7–13-0.0333%5 Jan →
dust213–16-0.0024%27 Dec →
nuke13–100.0439%27 Dec →
inferno7–13-0.0531%23 Dec →
mirage7–13-0.1014%23 Dec →
train16–14-0.0613%22 Dec →
dust213–6-0.0218%21 Dec →
mirage13–11-0.0032%20 Dec →
dust213–110.0025%20 Dec →
overpass11–110.0519%20 Dec →
nuke8–13-0.0525%12 Dec →
mirage13–20.0323%12 Dec →
inferno13–7-0.0112%12 Dec →
nuke15–15-0.0127%8 Dec →
ancient13–40.0227%8 Dec →
inferno13–30.0832%30 Nov →
ancient8–13-0.0418%29 Nov →
mirage10–13-0.0320%21 Nov →
inferno9–13-0.0332%30 Sept →
mirage6–13-0.0611%30 Sept →
mirage11–13-0.0226%28 Sept →
inferno3–8-0.0521%15 Sept →
dust213–10-0.0329%14 Sept →
nuke6–13-0.0329%14 Sept →
inferno13–70.0130%7 Sept →
dust28–13-0.0520%7 Sept →
dust213–110.0221%4 Sept →
nuke13–50.0116%31 Aug →
inferno7–13-0.0143%31 Aug →
inferno13–100.0115%31 Aug →
inferno8–13-0.036%31 Aug →
mirage13–8-0.0523%30 Aug →
nuke13–40.0331%30 Aug →
dust213–9-0.0333%30 Aug →
overpass13–90.1117%30 Aug →
dust26–13-0.0028%30 Aug →
mirage13–50.0137%30 Aug →
ancient14–16-0.0516%24 Aug →
dust213–100.0320%24 Aug →
mirage9–13-0.0826%24 Aug →
dust213–50.0436%23 Aug →
nuke13–80.0227%23 Aug →
nuke10–13-0.0320%22 Aug →
train9–10-0.0221%14 Aug →
inferno2–130.0124%14 Aug →

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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