hotdoug #webuiltthiscity

hotdoug #webuiltthiscity — CS2 Stats

76561197989494564[U:1:29228836]Steam profile ↗✓ No bans

1,241Tracked matches45%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,378 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGhotdoug #webuiltthiscityFACEITLevel 10 · 2,378 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning58
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLWWLLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −1.5pp headshot accuracy · +12ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 539ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 533ms

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 (+1.6 against its own average).

Aim8.8
Utility6.4
Positioning5.8
Opening Duels2.9
Clutch4.2

Sharp aimer

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 95% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim8.8
Positioning5.8
Utility6.4
Mechanics7.6
Opening Duels3.8
Win Impact3.3

Composite 6.6/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time555ms−36ms
first ⅓ avg 591ms → last ⅓ avg 555ms
Headshot accuracy18.2%+1.5%
first ⅓ avg 16.7% → last ⅓ avg 18.2%

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 · 9–0 · vertigo, 14 May →
46%Best headshot accuracy · 9–2 · nuke, 14 May →
406msFastest reaction time · 9–13 · mirage, 1 Oct →
13–0Biggest win · nuke, 16 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–14In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 78% over 9trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.00
nukeA1710–759%0.02
dust2C167–944%-0.01
infernoS128–467%0.01
ancientS107–370%0.02
overpassS97–278%0.01
anubisB84–450%0.01
trainC52–340%-0.01
cache—20–20%-0.01
vertigo—22–0100%0.06

Across the last 100 tracked matches.

Faceit stats

Combat

922Matches
55%Win rate
1.16Avg K/D
79.7ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke7256%1.0516.1
Anubis7148%1.0416.6
Ancient6656%1.1316.9
Mirage6538%1.0016.6
Overpass2767%1.2416.8
Inferno2665%1.1916.4
Dust22157%1.0816.2
Cache2055%1.1917.7

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.

15.9%Headshot accuracy
41.5%Accuracy (enemy spotted)
47.9%Spray accuracy
84.2%Counter-strafing
8.8°Preaim
550msReaction time
42.6%T opening success
47.5%CT opening success
0.68Enemies flashed / flash
8.6%Flash assists
9.12HE damage / grenade
11.43Flashes / match

Recommended for you

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–130.0211%11 Nov →
inferno13–100.0414%10 Nov →
ancient13–110.0823%10 Nov →
dust210–13-0.0322%10 Nov →
cache5–13-0.0522%22 Oct →
dust213–50.015%7 Oct →
dust211–130.0516%1 Oct →
mirage9–130.0021%1 Oct →
anubis19–17-0.0110%21 Sept →
nuke13–4-0.0510%17 Sept →
dust29–13-0.0619%17 Sept →
anubis11–130.079%16 Sept →
overpass13–100.0513%3 Jul →
cache11–130.0219%3 Jul →
dust213–100.0819%3 Jul →
nuke7–130.0327%3 Jul →
nuke13–40.0715%29 Jun →
anubis6–13-0.053%25 May →
nuke7–13-0.017%25 May →
vertigo9–00.1838%14 May →
nuke9–20.0846%14 May →
inferno6–9-0.0844%14 May →
dust20–13-0.0015%14 May →
overpass12–16-0.0112%12 May →
overpass16–120.0117%23 Apr →
anubis13–5-0.0220%8 Apr →
ancient15–150.0221%8 Apr →
dust213–80.0219%25 Mar →
anubis13–11-0.0014%16 Mar →
anubis13–100.0219%14 Mar →
nuke10–13-0.0120%10 Mar →
inferno9–130.0916%25 Feb →
mirage14–160.0016%25 Feb →
dust214–16-0.0515%24 Feb →
mirage7–2-0.0312%24 Feb →
nuke13–70.0511%22 Feb →
mirage7–130.0515%22 Feb →
dust213–5-0.0124%22 Feb →
inferno13–50.1021%22 Feb →
nuke13–100.0214%21 Feb →
mirage13–60.016%21 Feb →
mirage13–60.0313%21 Feb →
vertigo13–11-0.0515%21 Feb →
overpass6–13-0.069%21 Feb →
mirage13–5-0.0814%21 Feb →
ancient13–6-0.0315%21 Feb →
inferno6–13-0.050%19 Feb →
nuke13–70.0617%19 Feb →
mirage11–13-0.0316%19 Feb →
mirage13–70.0114%19 Feb →
dust213–80.0112%18 Feb →
nuke13–9-0.0132%14 Feb →
dust211–13-0.0715%13 Feb →
ancient15–15-0.0217%13 Feb →
anubis11–130.0015%12 Feb →
dust213–11-0.0221%12 Feb →
dust213–10-0.0413%11 Feb →
nuke10–13-0.0217%10 Feb →
inferno13–8-0.0014%10 Feb →
overpass13–2-0.0022%10 Feb →
ancient13–60.0627%10 Feb →
mirage11–13-0.0415%4 Feb →
anubis12–160.0817%2 Feb →
inferno13–40.0720%2 Feb →
nuke11–13-0.0511%27 Jan →
overpass13–11-0.0420%27 Jan →
mirage8–13-0.0021%26 Jan →
ancient13–90.0212%21 Jan →
nuke13–100.0217%21 Jan →
overpass13–10.1116%20 Jan →
mirage11–13-0.0114%19 Jan →
dust22–13-0.1411%22 Dec →
inferno13–9-0.0110%18 Dec →
ancient13–50.0517%18 Dec →
train8–13-0.0420%18 Dec →
inferno10–13-0.0519%16 Dec →
mirage13–30.0919%16 Dec →
dust212–120.0322%16 Dec →
mirage11–13-0.0421%3 Dec →
nuke9–130.0528%3 Dec →
mirage13–90.0218%26 Nov →
dust214–16-0.0223%26 Nov →
overpass13–60.0226%24 Nov →
nuke13–100.0418%24 Nov →
train11–13-0.0322%24 Nov →
train13–10-0.0211%16 Nov →
ancient5–13-0.0110%16 Nov →
nuke13–00.1318%16 Nov →
nuke3–13-0.0721%15 Nov →
ancient13–10.039%13 Nov →
inferno13–8-0.0014%13 Nov →
overpass13–70.0111%11 Nov →
inferno13–10-0.0118%11 Nov →
ancient13–100.0215%11 Nov →
mirage13–11-0.0310%10 Nov →
inferno13–70.0316%10 Nov →
mirage5–13-0.028%10 Nov →
train13–100.0527%10 Nov →
train12–16-0.0115%8 Nov →
mirage13–90.0215%8 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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