dreamtime. — CS2 Stats

76561198208044165[U:1:247778437]

535Tracked matches68%Win rate2020Tracked since
2,085Hours in CS
CSDB Rating6.5 SolidAggressive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 rate45.9%49.0%52.0%6.2% short
Shot accuracy12.5%13.1%13.7%1.2% short
Kill/death ratio1.131.081.08above
Match win rate51.5%46.9%48.8%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.

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CSDB.GGdreamtime.FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning53
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY55378Last 10055%Win rateLLLLWWWWWL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim8.1
Aggression6.9
Utility4.8
Positioning5.3
Opening Duels2.2
Clutch2.2

Strong 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 90% playstyle similarity

Most alike: opening-fight frequency, 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

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 47% on CT to 30% 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

Aim8.1
Positioning5.3
Utility4.8
Mechanics7.4
Opening Duels2.2
Win Impact10.0

Composite 6.5/10 (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 time582ms+11ms
first ⅓ avg 571ms → last ⅓ avg 582ms
Headshot accuracy16.7%−3.2%
first ⅓ avg 19.9% → last ⅓ avg 16.7%

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

0.12Best rating — inferno 2–0
132Biggest win — dust2
9Longest win streak
L4Current streak
127In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 64% over 22mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2214864%0.01
ancientA169756%0.02
mirageD1551033%0.00
infernoB147750%0.01
anubisA138562%0.01
nukeA106460%-0.00
overpassA53260%0.01
trainA53260%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,817Lifetime kills
1.13K/D · Top 50% of Level 9 players
4,033Matches
51.5%Match win rate · Top 25% of Level 9 players
45.9%Headshot %
12.5%Shot accuracy
10,827MVPs
2,085Hours (in match)
4,780Bombs planted
1,196Bombs defused

Most-used weapons

AK-4737,609
AWP11,242
FAMAS2,398
Knife1,492

Lifetime map wins

12,258dust2
7,671inferno
1,733nuke
1,082train
848cbble
590vertigo
21italy
11bank

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

Faceit stats

Combat

869Matches
51%Win rate
1.14Avg K/D
81.2ADR
44%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis11355%1.0115.0
Ancient9046%0.9414.6
Mirage7539%1.0214.6
Dust25056%1.2217.0
Vertigo3336%0.9615.1
Inferno2552%0.8713.8
Nuke989%1.3021.0
Train333%1.0516.3

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.

17.1%Headshot accuracy
39.4%Accuracy (enemy spotted)
40.1%Spray accuracy
83.2%Counter-strafing
9.3°Preaim
582msReaction time
30.2%T opening success
47.3%CT opening success
0.52Enemies flashed / flash
5.2%Flash assists
8.41HE damage / grenade
7.56Flashes / 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 30.2397% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0115%19 Jul
mirage7–130.0519%24 Apr
dust22–130.0425%23 Apr
ancient9–13-0.0026%20 Feb
dust213–40.0928%20 Feb
mirage16–140.0224%19 Feb
dust213–80.1016%18 Feb
nuke13–60.0314%7 Feb
anubis13–30.0621%30 Jan
ancient11–130.0222%26 Jan
inferno15–15-0.0511%26 Jan
anubis13–90.0510%26 Jan
mirage13–100.0629%26 Jan
nuke13–60.0615%26 Jan
ancient11–130.0010%26 Jan
nuke3–13-0.076%26 Jan
ancient13–30.0615%24 Jan
overpass10–13-0.0121%23 Jan
mirage13–100.0021%23 Jan
ancient13–110.0011%23 Jan
dust216–130.0223%23 Jan
anubis15–150.0012%22 Jan
ancient13–30.028%22 Jan
mirage1–13-0.0524%22 Jan
ancient13–50.0316%22 Jan
dust213–40.0319%22 Jan
dust213–9-0.0020%21 Jan
overpass13–60.006%20 Jan
anubis13–30.0526%20 Jan
dust213–9-0.054%19 Jan
nuke13–4-0.0314%19 Jan
inferno13–10-0.019%19 Jan
inferno13–10-0.0213%19 Jan
inferno7–13-0.0017%17 Jan
train13–9-0.0218%17 Jan
nuke13–60.0425%15 Jan
train7–130.0821%15 Jan
inferno10–40.0332%15 Jan
dust29–130.000%13 Jan
overpass11–13-0.0129%13 Jan
ancient13–70.0929%11 Jan
ancient13–90.0222%10 Jan
inferno8–130.0317%10 Jan
mirage10–130.0224%10 Jan
mirage15–15-0.0215%5 Jan
train13–60.0224%5 Jan
nuke13–90.0721%5 Jan
inferno10–13-0.0228%30 Dec
dust213–80.0136%30 Dec
ancient10–13-0.0027%28 Dec
overpass13–110.0318%26 Dec
nuke4–13-0.0523%26 Dec
mirage11–13-0.0315%26 Dec
mirage8–13-0.0413%22 Dec
dust29–130.0525%19 Dec
dust213–2-0.0223%19 Dec
dust29–130.0111%16 Dec
nuke13–11-0.0118%16 Dec
dust213–10-0.016%9 Dec
overpass13–40.0612%9 Dec
dust213–90.0025%7 Dec
mirage11–130.0315%7 Dec
inferno13–80.0123%20 Aug
ancient9–13-0.0130%27 Jun
anubis9–13-0.0322%23 Jun
ancient13–60.0122%19 Jun
dust213–110.0016%19 Jun
train8–130.038%15 Jun
ancient4–13-0.0411%13 Jun
inferno12–120.0614%13 Jun
anubis13–100.0316%5 Jun
mirage13–100.0320%5 Jun
mirage13–11-0.0116%4 Jun
anubis13–11-0.069%4 Jun
inferno13–110.0915%1 Jun
mirage5–130.0313%1 Jun
dust212–120.0115%1 Jun
dust29–13-0.0120%31 May
anubis5–130.0216%31 May
train13–110.0518%27 May
dust213–6-0.0322%23 May
inferno13–30.0216%21 May
ancient13–7-0.0225%18 May
inferno11–13-0.0319%17 May
nuke5–13-0.0429%16 May
anubis10–13-0.0227%15 May
mirage12–12-0.0212%15 May
dust26–130.0128%15 May
anubis13–11-0.0217%13 May
dust213–110.0138%10 May
anubis12–120.0215%9 May
ancient13–70.1114%3 May
ancient11–130.0026%30 Apr
inferno3–13-0.0719%29 Apr
nuke12–12-0.0010%26 Apr
anubis13–70.0221%25 Apr
inferno2–00.1280%25 Apr
dust21–13-0.0524%22 Apr
dust213–5-0.0113%22 Apr
anubis13–6-0.0013%20 Apr

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 →