long tan and handsome

long tan and handsome — CS2 Stats

76561198195233314[U:1:234967586]Steam profile ↗

1,339Tracked matches43%Win rate2020Tracked since
2,853Hours in CS
CSDB Rating5.6 SolidAggressive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate57.7%48.5%51.9%above
Shot accuracy17.4%13.3%13.7%above
Kill/death ratio0.721.071.080.37 short
Match win rate51.3%47.0%48.7%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGlong tan and handsomeFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74
Positioning55
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWLLLWWWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression8.1
Utility3.5
Positioning5.5
Opening Duels4.1
Clutch0.0

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 88% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.4
Positioning5.5
Utility3.5
Mechanics6.9
Opening Duels4.1
Win Impact2.6

Composite 5.6/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time584ms−4ms
first ⅓ avg 588ms → last ⅓ avg 584ms
Headshot accuracy25.7%+3.8%
first ⅓ avg 21.9% → last ⅓ avg 25.7%

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

0.17Best rating — train 13–9
131Biggest win — mirage
5Longest win streak
127In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 57% over 21infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB29151452%0.02
nukeA2112957%-0.00
infernoD1541127%-0.03
anubisB115645%0.00
dust2D113827%-0.02
overpassC52340%-0.01
cache41325%-0.00
ancient21150%-0.01
train220100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

165,495Lifetime kills
0.72K/D
4,554Matches
51.3%Match win rate · Top 25% of Level 9 players
57.7%Headshot % · Top 25% of Level 9 players
17.4%Shot accuracy · Top 25% of Level 9 players
9,969MVPs
2,853Hours (in match)
3,960Bombs planted
1,041Bombs defused

Most-used weapons

AK-4776,923
AWP14,185
P2505,717
Tec-92,900
SSG 082,565
Knife1,786

Lifetime map wins

5,923inferno
4,724dust2
3,941train
3,695cbble
2,902nuke
1,771vertigo
32lake
21office

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

Faceit stats

Combat

511Matches
54%Win rate
1.16Avg K/D
77.7ADR
50%Headshot %

Clutches & streaks

19%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis650%0.8318.7
Dust2425%0.7313.5
Nuke425%0.8817.8
Mirage333%0.7415.0
Train250%0.9314.0
Inferno250%0.7814.0
Ancient10%0.479.0
Vertigo10%0.569.0

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.

25.8%Headshot accuracy
31.8%Accuracy (enemy spotted)
35.8%Spray accuracy
81.0%Counter-strafing
10.3°Preaim
582msReaction time
32.0%T opening success
60.9%CT opening success
0.42Enemies flashed / flash
7.6%Flash assists
16.52HE damage / grenade
2.57Flashes / 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. 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 0.4174 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 32.0173% — below the 40% mark we flag

Spend your practice time on Inferno

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke14–16-0.0120%23 Aug
nuke13–100.019%6 Aug
cache13–16-0.0034%6 Aug
anubis3–13-0.0314%6 Aug
mirage7–13-0.039%6 Aug
inferno13–9-0.0275%5 Aug
mirage13–110.0315%29 Jul
anubis13–20.0628%29 Jul
cache13–4-0.0126%26 Jul
cache8–130.0131%26 Jul
mirage8–13-0.1022%24 Jul
mirage13–10.0530%24 Jul
cache7–13-0.0138%17 Jul
mirage9–130.0438%17 Jul
inferno5–13-0.0522%9 Jul
mirage13–7-0.0324%9 Jul
nuke13–20.0227%9 Jul
ancient15–15-0.0017%30 Jun
nuke13–30.0419%30 Jun
inferno13–9-0.0635%30 Jun
dust23–13-0.0519%29 Jun
inferno1–13-0.0624%29 Jun
nuke1–8-0.0329%29 Jun
overpass13–6-0.0429%18 Jun
mirage13–50.0430%18 Jun
dust29–13-0.0318%17 Jun
inferno10–13-0.0124%24 May
inferno10–13-0.0222%24 May
mirage15–150.0019%24 May
inferno5–13-0.0235%27 Apr
nuke13–8-0.0327%27 Apr
dust213–7-0.0220%26 Apr
dust25–13-0.0521%26 Apr
mirage3–13-0.0518%26 Apr
mirage5–13-0.0231%26 Apr
mirage13–11-0.0121%6 Apr
nuke16–130.0029%6 Apr
inferno11–13-0.0317%29 Mar
overpass13–11-0.0221%29 Mar
mirage10–130.0227%22 Mar
inferno14–160.0024%7 Mar
mirage8–13-0.0130%7 Mar
inferno7–13-0.0427%20 Feb
mirage15–150.0220%20 Feb
anubis3–13-0.0315%17 Feb
nuke13–110.0013%17 Feb
nuke9–130.0322%17 Feb
dust25–13-0.0624%16 Feb
anubis13–110.0234%16 Feb
inferno13–7-0.0117%16 Feb
nuke13–11-0.0322%16 Feb
ancient13–8-0.0227%14 Feb
mirage7–130.0328%14 Feb
nuke9–13-0.0319%14 Feb
nuke16–14-0.0216%11 Feb
anubis14–16-0.0324%10 Feb
mirage13–30.0731%10 Feb
anubis13–100.0818%10 Feb
mirage13–70.0421%8 Feb
nuke10–130.0025%8 Feb
anubis7–13-0.0211%8 Feb
anubis13–70.0225%4 Feb
mirage13–110.0518%4 Feb
overpass8–130.0323%4 Feb
anubis7–13-0.0014%3 Feb
inferno7–13-0.049%3 Feb
nuke2–13-0.010%3 Feb
inferno13–100.0128%2 Feb
anubis9–13-0.0710%2 Feb
nuke11–13-0.0120%1 Feb
mirage13–70.0727%1 Feb
nuke13–8-0.0125%1 Feb
mirage13–90.0920%1 Feb
nuke15–15-0.0337%30 Jan
mirage13–90.0423%26 Jan
anubis13–60.0320%25 Jan
dust29–130.0212%24 Jan
mirage13–110.0612%24 Jan
overpass9–13-0.0119%1 Jan
mirage13–2-0.0215%1 Jan
mirage13–90.0318%1 Jan
mirage13–30.0523%1 Jan
dust213–80.0420%29 Dec
nuke16–140.0218%29 Dec
dust210–13-0.0122%20 Dec
mirage7–13-0.0115%20 Dec
inferno3–13-0.0429%17 Dec
nuke13–80.0315%17 Dec
train13–90.1724%12 Dec
overpass11–130.0125%12 Dec
nuke16–14-0.0425%8 Dec
nuke13–160.0229%8 Dec
inferno8–13-0.0222%1 Dec
train13–110.0331%1 Dec
dust26–130.0120%1 Dec
mirage10–130.0123%28 Nov
dust27–13-0.0815%26 Nov
mirage14–16-0.0119%26 Nov
dust213–90.0020%25 Nov
mirage3–13-0.0139%25 Nov

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 →