dleed

dleed — CS2 Stats

AL76561198994239648[U:1:1033973920]Steam profile ↗

4,690Tracked matches57%Win rate2020Tracked since
6,662Hours in CS26Hrs last 2 wks
CSDB Rating6.9 SolidAggressive Rifler
FaceitLevel 10 · 2,752 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate56.0%52.0%
Shot accuracy6.3%13.7%
Kill/death ratio1.001.08
Match win rate51.3%48.8%

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CSDB.GGdleedFACEITLevel 10 · 2,752 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning51
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateLLWLWWWWWL

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.

Aim8.5
Aggression6.7
Utility7.3
Positioning5.1
Opening Duels1.8

Sharp aimerStrong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 85 — the mechanical foundation is a clear strength.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5
Positioning5.1
Utility7.3
Mechanics7.6
Opening Duels2.4
Win Impact7.2

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time536ms−65ms
first ⅓ avg 601ms → last ⅓ avg 536ms
Headshot accuracy26.8%−0.4%
first ⅓ avg 27.2% → last ⅓ avg 26.8%

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

0.18Best rating — anubis 13–6
132Biggest win — ancient
5Longest win streak
L2Current streak
129In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 73% over 15anubisWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
ancientC26101638%0.01
dust2S2315865%0.01
anubisD1651131%0.02
mirageS1511473%0.00
infernoA106460%0.02
nukeS64267%0.01
cache21150%0.02
train21150%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,405Lifetime kills
1.00K/D
6,519Matches
51.3%Match win rate · Top 50% of Level 10 players
56.0%Headshot % · Top 50% of Level 10 players
6.3%Shot accuracy
20,347MVPs
3,496Hours (in match)
8,667Bombs planted
2,306Bombs defused

Most-used weapons

AK-4760,668
AWP12,631
Knife4,779
MP94,687
MAC-103,381

Lifetime map wins

12,439dust2
11,151inferno
5,178vertigo
4,023nuke
2,107train
71lake
44cbble
33ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.4%Spray accuracy
84.2%Counter-strafing
8.3°Preaim
542msReaction time
25.3%T opening success
49.2%CT opening success
0.76Enemies flashed / flash
7.2%Flash assists
10.04HE damage / grenade
16.23Flashes / 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 25.3262% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0518%28 Aug
ancient14–16-0.0522%19 Aug
nuke13–110.0231%16 Aug
dust211–13-0.0046%15 Aug
dust213–90.0118%15 Aug
dust213–10-0.0043%15 Aug
ancient13–60.0929%15 Aug
ancient13–60.0822%13 Aug
dust213–110.0735%13 Aug
anubis9–130.0020%13 Aug
mirage16–130.0214%12 Aug
nuke14–160.0721%12 Aug
dust213–4-0.0223%12 Aug
mirage0–13-0.048%11 Aug
anubis13–70.1330%6 Aug
dust214–16-0.0131%5 Aug
dust213–110.0037%5 Aug
anubis14–16-0.0131%4 Aug
inferno13–80.0822%1 Aug
dust213–5-0.0123%31 Jul
dust213–90.0020%31 Jul
mirage8–13-0.0421%31 Jul
dust214–160.0025%29 Jul
anubis7–130.0136%29 Jul
dust25–13-0.0122%21 Jul
mirage13–8-0.0429%13 Jul
mirage13–4-0.0132%13 Jul
dust213–50.0120%7 Jul
dust29–13-0.0529%30 Jun
mirage13–110.0133%30 Jun
ancient13–80.0730%28 Jun
ancient2–13-0.0839%26 Jun
cache5–13-0.0426%25 Jun
dust28–13-0.0235%25 Jun
cache13–70.0823%25 Jun
dust213–30.0125%25 Jun
ancient11–130.0332%24 Jun
ancient19–160.0334%20 Jun
anubis4–13-0.0827%20 Jun
ancient6–13-0.0126%18 Jun
ancient13–7-0.0030%17 Jun
dust213–40.0120%16 Jun
ancient6–13-0.0226%14 Jun
nuke7–13-0.0027%12 Jun
dust216–130.0022%11 Jun
mirage13–110.0550%9 Jun
anubis4–13-0.0531%7 Jun
ancient7–130.0138%3 Jun
inferno13–3-0.0222%29 May
nuke13–11-0.0127%29 May
ancient13–20.0429%26 May
ancient6–130.0620%23 May
ancient13–80.1228%19 May
inferno4–130.0023%19 May
anubis10–13-0.0523%19 May
dust213–80.0724%8 May
ancient7–130.0323%1 May
ancient8–13-0.0130%19 Apr
anubis13–80.0331%15 Apr
anubis13–110.0327%11 Apr
anubis11–130.0835%31 Mar
mirage16–120.0135%31 Mar
anubis13–11-0.0135%31 Mar
mirage13–70.0129%16 Mar
mirage13–70.0313%14 Mar
dust213–16-0.0223%13 Mar
dust213–100.0327%13 Mar
anubis13–60.1830%11 Mar
inferno13–70.0140%8 Mar
mirage13–90.0439%28 Feb
anubis14–160.0222%28 Feb
inferno13–100.0835%28 Feb
mirage13–70.0616%27 Feb
mirage8–13-0.0022%21 Feb
ancient5–13-0.0710%21 Feb
anubis16–190.0130%20 Feb
dust210–13-0.0225%19 Feb
nuke13–11-0.0225%17 Feb
ancient2–13-0.0029%17 Feb
ancient16–120.0327%15 Feb
anubis6–13-0.0127%2 Feb
dust213–110.0331%1 Feb
ancient13–11-0.0313%26 Jan
mirage5–13-0.0415%19 Jan
inferno6–130.0034%19 Jan
dust213–80.0420%17 Jan
anubis8–130.0131%15 Jan
inferno13–10-0.0127%8 Jan
ancient9–13-0.0323%6 Jan
train1–13-0.0732%3 Jan
inferno10–130.0229%3 Jan
nuke13–100.0148%3 Jan
train16–13-0.0330%3 Jan
mirage16–14-0.0220%1 Jan
inferno13–10-0.0124%1 Jan
inferno15–150.0750%26 Dec
ancient9–130.0837%23 Dec
ancient8–13-0.0329%21 Dec
ancient6–13-0.0216%20 Dec
ancient13–100.0314%18 Dec

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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