ddd

ddd — CS2 Stats

DK76561198216307497[U:1:256041769]Steam profile ↗

3,357Tracked matches47%Win rate2020Tracked since
CSDB Rating6.7 SolidHybrid Rifler
Premier CS Rating25,552Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#2446 of 20775 tracked
FaceitLevel 10 · 3,603 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGdddFACEITLevel 10 · 3,603 ELOSTANDINGTop 12.4% of rankedPREMIER25,552 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning67
Utility79

0–100 skill scores via Leetify.

Recent form

HOT5347Last 10053%Win rateLWWWLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.5
Aggression5.8
Utility7.9
Positioning6.7
Opening Duels2.8
Clutch4.0

Effective flashesHigh utility contribution

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 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 79 — grenade impact well above the norm.

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

Aim7.5
Positioning6.7
Utility7.9
Mechanics6.2
Opening Duels2.8
Win Impact3.9

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time509ms−14ms
first ⅓ avg 523ms → last ⅓ avg 509ms
Headshot accuracy21.1%+3.1%
first ⅓ avg 18.0% → last ⅓ avg 21.1%

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

0.19Best rating — nuke 13–4
133Biggest win — ancient
9Longest win streak
127In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 70% over 10ancientWeakest map · 41% over 27
MapGradePlayedRecordWin rateAvg rating
ancientC27111641%-0.01
nukeB24131154%0.03
anubisA127558%0.03
trainS107370%0.01
infernoC94544%0.00
overpassA53260%-0.02
cache42250%0.06
dust242250%0.04
mirage330100%0.04
vertigo21150%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 27). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9,442Matches
55%Win rate
1.17Avg K/D
90.3ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient62359%1.2217.9
Nuke53061%1.2418.4
Anubis36458%1.1717.4
Inferno25661%1.2518.0
Overpass22062%1.3518.9
Vertigo19261%1.2417.3
Train18061%1.2618.9
Dust27641%1.0917.2

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.

20.2%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.7%Spray accuracy
77.9%Counter-strafing
11.2°Preaim
513msReaction time
35.4%T opening success
47.3%CT opening success
0.77Enemies flashed / flash
10.9%Flash assists
9.82HE damage / grenade
13.20Flashes / 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 35.4224% — below the 40% mark we flag

Spend your practice time on Ancient

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

41% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–130.0521%9 Aug
inferno16–140.0733%2 Aug
cache13–80.0516%13 Jul
anubis13–70.0622%29 Jun
ancient14–160.0628%6 Jun
overpass13–80.0319%6 Jun
nuke13–11-0.0126%4 Jun
ancient9–13-0.0019%14 May
cache13–100.0618%13 May
inferno13–90.0215%11 May
mirage13–100.0514%6 May
cache8–130.0730%29 Apr
overpass13–9-0.0117%25 Apr
ancient7–13-0.0723%25 Apr
nuke7–13-0.0219%25 Apr
nuke13–90.0526%20 Apr
nuke16–130.0818%19 Apr
ancient8–13-0.049%12 Apr
ancient13–70.0627%9 Apr
inferno9–13-0.0114%30 Mar
anubis10–13-0.008%29 Mar
inferno2–13-0.087%28 Mar
inferno11–13-0.0314%14 Mar
overpass14–16-0.0014%1 Mar
nuke3–13-0.1121%28 Feb
ancient7–13-0.0617%27 Feb
nuke13–50.0423%22 Feb
inferno4–130.0331%11 Jan
nuke13–80.0634%19 Dec
inferno6–13-0.0619%10 Dec
nuke13–40.0229%11 Nov
train6–130.0033%19 Oct
ancient6–13-0.0032%17 Oct
train13–10-0.0324%24 Sept
ancient13–3-0.0214%24 Sept
dust210–13-0.0316%23 Sept
train13–9-0.0117%23 Sept
mirage13–50.0110%17 Sept
nuke3–13-0.0317%15 Sept
overpass13–3-0.0612%14 Sept
ancient3–13-0.0319%14 Sept
train8–13-0.0523%31 Aug
nuke13–11-0.0313%30 Aug
train7–130.0115%29 Aug
nuke6–13-0.0138%29 Aug
overpass7–13-0.0526%26 Aug
ancient13–90.0123%25 Aug
ancient8–13-0.0417%22 Aug
ancient11–130.0415%17 Aug
train13–60.0229%16 Aug
nuke5–13-0.0023%10 Aug
inferno13–100.0318%23 Jul
nuke14–160.0120%8 Jul
dust24–13-0.0222%5 Jul
train13–110.0523%21 Jun
mirage13–100.0519%17 Jun
ancient3–13-0.1019%16 Jun
nuke16–140.0526%16 Jun
train13–110.0121%6 Jun
nuke13–80.1134%28 Apr
nuke13–10-0.0119%25 Apr
inferno13–110.0424%23 Apr
train13–110.0619%3 Apr
ancient10–13-0.0128%2 Apr
nuke10–130.0239%31 Mar
nuke13–40.1930%24 Mar
ancient16–190.0217%11 Mar
ancient13–90.1119%2 Mar
anubis11–130.0023%22 Feb
ancient10–13-0.0716%6 Feb
anubis6–13-0.0211%4 Feb
ancient13–70.0622%28 Jan
train13–60.0519%28 Jan
nuke13–60.0123%4 Jan
anubis16–130.0424%3 Jan
ancient16–120.0213%31 Dec
ancient13–80.0116%29 Dec
anubis13–110.0415%27 Dec
ancient13–10-0.0120%14 Dec
dust213–40.0928%3 Oct
nuke8–130.0816%2 Oct
ancient13–110.0116%9 Sept
nuke19–160.0618%3 Sept
vertigo13–40.0922%24 Aug
anubis13–30.1221%24 Aug
nuke12–16-0.0017%24 Aug
ancient9–13-0.0116%24 Aug
ancient6–13-0.0219%16 Aug
anubis7–13-0.0112%10 Aug
nuke7–130.0121%31 Jul
ancient13–11-0.0920%25 Jul
anubis13–90.016%6 Jul
nuke10–130.0521%13 May
anubis11–130.0415%4 May
ancient13–110.0020%27 Apr
anubis13–60.035%27 Apr
dust213–80.1222%27 Apr
anubis13–60.0816%27 Apr
vertigo6–13-0.0324%21 Apr
ancient5–13-0.0616%16 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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