Man that lives in a holiday inn

Man that lives in a holiday inn — CS2 Stats

76561198168681932[U:1:208416204]Steam profile ↗✓ No bans

554Tracked matches61%Win rate2022Tracked since
CSDB Rating6.2 SolidHybrid Rifler
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim66
Positioning54
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLWWLLWTLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression7.1
Utility4.3
Positioning5.4
Opening Duels2.2

Excellent counter-strafingStrong 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.

Your pro match

ropz

Plays most like ropz 86% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 53% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 708ms 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

Aim6.6
Positioning5.4
Utility4.3
Mechanics8.9
Opening Duels2.8
Win Impact8.6

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time701ms−26ms
first ⅓ avg 727ms → last ⅓ avg 701ms
Headshot accuracy18.5%−4.5%
first ⅓ avg 22.9% → last ⅓ avg 18.5%

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.

Highlights

0.14Best rating — office 13–7
130Biggest win — italy
5Longest win streak
69In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 61% over 28anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA33191458%0.00
officeA28171161%0.00
anubisD102820%0.01
ancient42250%0.03
nuke4040%0.02
dust231233%-0.01
shelter31233%0.04
italy31233%0.03
fachwerk220100%0.04
inferno21150%0.07
vertigo21150%-0.04
warden21150%-0.06
boulder1010%0.03
train1010%0.05
stronghold1010%0.01
alpine1010%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis 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.

18.6%Headshot accuracy
37.2%Accuracy (enemy spotted)
35.7%Spray accuracy
90.0%Counter-strafing
11.0°Preaim
708msReaction time
25.0%T opening success
52.7%CT opening success
0.36Enemies flashed / flash
5.0%Flash assists
11.28HE damage / grenade
8.01Flashes / 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 707.8677ms — 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 0.3622 — 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 25.0422% — below the 40% mark we flag

Spend your practice time on Anubis

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 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–130.0121%11 Aug
cache13–10-0.0319%11 Aug
office13–70.1430%1 Aug
dust214–16-0.0420%1 Aug
cache5–13-0.0127%1 Aug
office13–9-0.0115%1 Aug
cache12–12-0.0315%31 Jul
shelter3–13-0.0134%30 Jul
office13–9-0.0425%30 Jul
cache10–130.0423%30 Jul
cache8–13-0.0620%28 Jul
cache13–20.059%28 Jul
cache13–20.0516%28 Jul
cache13–80.0010%27 Jul
shelter13–30.0920%27 Jul
shelter7–130.0324%27 Jul
office13–70.0347%27 Jul
anubis9–13-0.0516%25 Jul
italy7–130.027%25 Jul
office13–2-0.0321%25 Jul
cache13–80.015%25 Jul
boulder6–130.0319%21 Jul
fachwerk10–00.0517%21 Jul
inferno13–40.1414%17 Jul
cache13–10.0716%17 Jul
ancient13–60.036%16 Jul
fachwerk13–110.039%16 Jul
office12–12-0.0714%4 Jul
ancient9–130.0811%3 Jul
cache13–11-0.0128%3 Jul
anubis1–7-0.050%3 Jul
office8–13-0.0333%20 Jun
office13–40.0319%20 Jun
nuke11–13-0.0319%20 Jun
train10–130.0513%20 Jun
ancient13–6-0.0214%20 Jun
office7–13-0.0833%20 Jun
cache13–11-0.0425%20 Jun
anubis12–12-0.0660%20 Jun
anubis3–130.0823%19 Jun
cache13–7-0.0412%6 Jun
anubis13–30.0814%6 Jun
office13–3-0.0428%6 Jun
vertigo10–13-0.0428%6 Jun
office13–100.1433%5 Jun
office10–20.0248%5 Jun
cache3–13-0.0632%5 Jun
cache6–130.0024%5 Jun
cache6–13-0.0212%28 May
cache13–70.0113%28 May
cache13–50.0111%28 May
cache13–50.0612%28 May
cache6–13-0.1013%27 May
cache13–40.0322%27 May
vertigo13–8-0.0315%24 May
cache3–13-0.0221%24 May
office3–130.0515%24 May
cache10–13-0.0518%24 May
office9–10-0.0428%24 May
anubis1–13-0.0113%24 May
office11–20.0446%24 May
cache12–12-0.0316%23 May
nuke7–130.0618%23 May
dust211–130.0137%23 May
cache10–13-0.0216%22 May
cache13–50.1417%22 May
stronghold5–130.018%22 May
cache13–110.0118%21 May
cache13–4-0.0216%21 May
cache3–13-0.0024%18 May
cache13–30.0338%18 May
cache11–130.0316%14 May
cache13–10.1127%29 Apr
cache13–50.0514%29 Apr
office13–7-0.0430%26 Apr
office13–100.0327%26 Apr
office9–13-0.0338%26 Apr
anubis5–13-0.0415%26 Apr
nuke11–130.0818%25 Apr
ancient9–130.0221%25 Apr
anubis0–130.0312%15 Mar
italy1–20.01100%15 Mar
office11–130.0032%14 Mar
office4–130.088%14 Mar
inferno3–130.0120%14 Mar
italy13–00.0624%14 Mar
dust213–5-0.0120%13 Mar
anubis13–60.0714%12 Mar
warden5–13-0.0910%5 Mar
nuke11–13-0.0123%4 Mar
alpine12–12-0.0114%4 Mar
office0–2-0.050%4 Mar
office13–80.0623%28 Feb
office13–8-0.0119%28 Feb
office3–13-0.0425%1 Feb
office4–13-0.0216%1 Feb
warden13–11-0.0321%30 Jan
office13–80.0230%30 Jan
office13–40.0823%17 Jan
office4–13-0.0922%25 Dec

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 →