hotr

hotr — CS2 Stats

76561198126022406[U:1:165756678]Steam profile ↗VAC banned

245Tracked matches48%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim55
Positioning49
Utility46

0–100 skill scores via Leetify.

Recent form

COLD36–55–9Last 10036%Win rateLLTWLLLTLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.9pp headshot accuracy · +14ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 734ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 27%
  • Avg reaction 666ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 659ms

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 (+1.9 against its own average).

Aim5.5
Utility4.6
Positioning4.9
Opening Duels2.4
Clutch0.0

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 647ms 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

Aim5.5
Positioning4.9
Utility4.6
Mechanics7.1
Opening Duels1.0
Win Impact4.4

Composite 4.9/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time663ms+14ms
first ⅓ avg 649ms → last ⅓ avg 663ms
Headshot accuracy23.0%+1.5%
first ⅓ avg 21.4% → last ⅓ avg 23.0%

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

0.30Best match rating · 9–0 · inferno, 30 Oct →
59%Best headshot accuracy · 5–13 · nuke, 13 Jul →
391msFastest reaction time · 12–12 · office, 9 Mar →
13–0Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
8–11In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 50% over 12vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.00
dust2C146–843%-0.02
cacheB126–650%-0.01
mirageD113–827%-0.03
officeD103–730%-0.03
infernoD103–730%0.01
overpassB105–550%-0.02
vertigoD51–420%-0.03
trainD51–420%0.00
poseidon—21–150%-0.03
debris—10–10%0.02
ancient—11–0100%0.03
anubis—10–10%-0.01
agency—10–10%-0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
100%Win rate
0.70Avg K/D
50.7ADR
60%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%0.5618.0
Ancient1100%0.8310.0

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.

23.0%Headshot accuracy
28.7%Accuracy (enemy spotted)
27.9%Spray accuracy
82.0%Counter-strafing
10.1°Preaim
647msReaction time
30.3%T opening success
37.5%CT opening success
0.67Enemies flashed / flash
3.3%Flash assists
5.88HE damage / grenade
7.81Flashes / 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

    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 30.2528% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo4–9-0.1916%14 Jul →
nuke5–130.0259%13 Jul →
debris8–80.0223%12 Jul →
mirage13–4-0.0431%20 Jun →
office11–13-0.0417%14 Jun →
mirage8–13-0.0129%12 Jun →
vertigo8–130.0324%7 Jun →
office12–12-0.0318%5 Jun →
inferno11–13-0.0438%3 Jun →
nuke13–10-0.1013%1 Jun →
nuke13–70.0214%31 May →
mirage4–13-0.1020%28 May →
office13–11-0.0532%28 May →
office7–130.0130%27 May →
nuke6–9-0.0418%21 May →
dust27–13-0.0229%20 May →
ancient13–40.0332%20 May →
office4–13-0.0126%20 May →
inferno7–9-0.0022%20 May →
cache6–13-0.0716%20 May →
anubis8–13-0.0124%19 May →
dust26–13-0.0518%19 May →
inferno16–13-0.0622%19 May →
dust213–11-0.0116%19 May →
nuke12–160.0421%18 May →
cache13–8-0.0417%17 May →
cache5–13-0.0215%17 May →
dust213–8-0.0123%14 May →
cache13–8-0.0412%14 May →
cache13–70.0131%14 May →
mirage13–4-0.0314%13 May →
nuke11–130.0220%12 May →
overpass13–90.0317%7 May →
inferno13–80.0817%7 May →
overpass13–4-0.0414%7 May →
nuke8–80.1024%6 May →
poseidon3–9-0.1412%6 May →
cache13–50.0012%4 May →
cache11–13-0.0021%4 May →
cache13–11-0.0223%4 May →
cache3–13-0.0216%4 May →
cache10–130.0214%3 May →
nuke7–9-0.0114%3 May →
cache11–130.0123%29 Apr →
cache13–80.0517%29 Apr →
inferno4–9-0.0021%25 Apr →
nuke8–8-0.0924%25 Apr →
poseidon9–20.0815%25 Apr →
nuke11–13-0.038%17 Apr →
dust213–40.0346%17 Apr →
inferno4–13-0.0421%17 Apr →
vertigo6–13-0.0420%14 Apr →
office13–11-0.0315%13 Apr →
overpass13–7-0.0410%13 Apr →
vertigo9–70.0114%13 Apr →
mirage3–13-0.0415%13 Apr →
mirage13–9-0.0013%12 Apr →
inferno5–10-0.0513%11 Apr →
overpass4–13-0.0119%10 Apr →
nuke13–11-0.0124%30 Mar →
mirage5–130.1024%24 Mar →
dust213–60.0120%24 Mar →
overpass8–13-0.0615%15 Mar →
office7–130.0218%15 Mar →
office12–12-0.0913%10 Mar →
office12–12-0.0429%9 Mar →
train12–12-0.0331%9 Mar →
mirage9–13-0.0914%31 Jan →
mirage6–13-0.0841%18 Jan →
nuke8–80.1433%6 Jan →
overpass9–13-0.0318%4 Jan →
dust212–12-0.034%22 Dec →
office13–70.0130%22 Dec →
overpass8–13-0.0517%27 Nov →
inferno10–130.0017%27 Nov →
overpass13–60.0233%26 Nov →
mirage4–13-0.0313%24 Nov →
nuke13–9-0.068%24 Nov →
dust25–13-0.0021%24 Nov →
dust213–11-0.0126%18 Nov →
inferno9–00.3023%30 Oct →
train5–13-0.0624%19 Oct →
nuke13–00.0421%25 Sept →
dust27–13-0.0523%16 Sept →
train6–13-0.047%14 Sept →
overpass8–130.0112%14 Sept →
agency7–13-0.0024%13 Sept →
dust213–110.0013%4 Aug →
vertigo11–130.0419%4 Aug →
train13–90.0518%21 Jul →
mirage12–160.0416%9 Jun →
dust28–7-0.0411%2 Jun →
dust211–130.0226%30 May →
nuke7–130.0020%23 May →
inferno6–13-0.0513%17 May →
overpass13–6-0.0626%17 May →
nuke13–4-0.0224%17 May →
dust23–13-0.1150%9 May →
nuke9–13-0.0430%9 May →
train7–130.0834%1 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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