dlean

dlean — CS2 Stats

76561198859018538[U:1:898752810]Steam profile ↗✓ No bans

480Tracked matches60%Win rate2020Tracked since
CSDB Rating6.5 SolidAll-Rounder
CSDB Leaderboard#5211 of 222102 tracked
FaceitLevel 10 · 2,555 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 59 days played since 21 Sep 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 27,070 +8,257 4 Dec5 Jul · 12 days played
17,57427,070peak 27,0704 Dec5 Jul
27,070Peak Premier in tracked matches
2,555Highest Faceit ELO seen on CSDB
59Days played since 2023-09-21

Faceit ELO

  • At peak — 2,555
  • Next: 3,000 ELO at 3,000 445 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGdleanFACEITLevel 10 · 2,555 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,555csdb.gg/stats

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Performance scores

Aim83
Positioning57
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateLLWLWWWWWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +0.9pp headshot accuracy · +129ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 644ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 615ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 551ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.3
Utility4.7
Positioning5.7
Opening Duels4.1
Clutch5.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim8.3
Positioning5.7
Utility4.7
Mechanics6.3
Opening Duels2.6
Win Impact8.3

Composite 6.5/10 (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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time565ms−21ms
first ⅓ avg 586ms → last ⅓ avg 565ms
Headshot accuracy26.3%+0.9%
first ⅓ avg 25.4% → last ⅓ avg 26.3%

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.

Personal bests

0.18Best match rating · 13–5 · mirage, 1 Jun
44%Best headshot accuracy · 13–8 · nuke, 21 Jun
375msFastest reaction time · 1–13 · inferno, 15 Jun
16–2Biggest win · vertigo, 22 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
83In matches decided by ≤2 rounds
30Overtime games

Map breakdown

ancientBest map · 75% over 12infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA32201263%0.03
dust2C27121544%0.03
ancientS129375%0.04
nukeS118373%0.06
infernoD62433%0.01
anubis32167%-0.02
vertigo32167%0.10
overpass21150%-0.03
train2020%-0.00
cache110100%0.10
edin1010%0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

767Matches
58%Win rate
1.31Avg K/D
84.4ADR
49%Headshot %

Clutches & streaks

46%1v1 clutch win
28%1v2 clutch win
17Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21056%1.2416.7
Dust213560%1.4119.2
Anubis5659%1.3819.6
Ancient3546%1.1318.0
Nuke2966%1.3118.2
Inferno2148%1.2016.7
Vertigo580%1.3220.4
Cache520%0.9617.4

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.

25.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
43.2%Spray accuracy
78.6%Counter-strafing
9.5°Preaim
569msReaction time
29.0%T opening success
50.7%CT opening success
0.54Enemies flashed / flash
8.9%Flash assists
4.93HE damage / grenade
9.83Flashes / 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 29.0456% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke7–130.0533%5 Sept
dust22–13-0.0032%25 Aug
dust213–80.1220%23 Aug
dust211–13-0.0325%7 Aug
mirage13–100.0725%18 Jul
mirage13–110.0114%5 Jul
ancient13–90.0331%4 Jul
nuke13–80.0644%21 Jun
ancient13–80.1221%21 Jun
dust26–13-0.0126%18 Jun
ancient3–13-0.0343%16 Jun
dust213–160.0416%16 Jun
mirage5–13-0.0527%15 Jun
dust213–70.0316%15 Jun
anubis13–10-0.0415%15 Jun
inferno1–13-0.0536%15 Jun
ancient4–130.0226%14 Jun
mirage13–90.0224%14 Jun
nuke13–6-0.0729%14 Jun
dust213–50.1029%14 Jun
anubis12–16-0.0220%14 Jun
mirage13–6-0.0121%14 Jun
ancient13–40.0017%14 Jun
dust213–70.0243%14 Jun
mirage13–80.0519%14 Jun
overpass8–1-0.0119%14 Jun
overpass6–13-0.0440%13 Jun
dust211–130.0020%13 Jun
nuke13–20.0632%13 Jun
mirage13–70.0327%13 Jun
inferno13–80.0023%13 Jun
dust213–30.0433%13 Jun
ancient13–40.0922%13 Jun
dust213–80.0622%11 Jun
dust210–130.0733%6 Jun
dust213–30.1233%5 Jun
dust216–120.1021%5 Jun
mirage16–19-0.0423%2 Jun
cache13–110.1032%2 Jun
dust213–4-0.0022%1 Jun
mirage13–50.1825%1 Jun
dust213–70.0237%28 May
mirage13–10.0735%27 May
mirage8–130.0124%22 May
nuke5–130.0533%21 May
dust24–130.0219%21 May
dust29–130.0531%10 Apr
nuke13–90.0919%19 Mar
dust27–130.0417%12 Mar
dust219–170.0837%10 Mar
nuke13–90.1024%28 Feb
dust29–13-0.049%14 Feb
inferno3–13-0.0631%3 Feb
mirage13–90.0527%1 Feb
dust216–130.0937%28 Jan
dust26–13-0.0744%21 Jan
mirage2–13-0.0116%20 Jan
dust21–13-0.0411%19 Jan
mirage11–140.0028%18 Jan
nuke14–70.1731%18 Jan
dust29–150.0432%18 Jan
mirage5–150.0310%18 Jan
dust217–190.0326%8 Nov
mirage13–10-0.0129%8 Nov
mirage10–130.0324%3 May
mirage13–50.0039%2 May
ancient13–80.0224%29 Jan
inferno6–9-0.0242%18 Dec
edin4–90.0916%27 Nov
train4–130.0441%24 Nov
train3–13-0.0437%14 Nov
mirage16–140.0322%16 Jun
ancient13–40.1136%9 May
inferno12–120.1534%9 May
dust26–13-0.0023%29 Apr
nuke5–130.1243%15 Apr
mirage13–40.0229%14 Apr
ancient16–140.0836%12 Apr
mirage13–110.1627%3 Feb
mirage13–110.1636%19 Jan
nuke13–11-0.0229%4 Dec
mirage13–10.1621%28 Sept
mirage16–50.0823%26 Sept
mirage13–20.0113%26 Sept
mirage8–16-0.0526%25 Sept
ancient2–16-0.059%25 Sept
mirage9–16-0.0120%24 Sept
ancient16–60.0318%24 Sept
mirage4–16-0.0741%24 Sept
mirage16–60.0615%23 Sept
vertigo13–160.1118%23 Sept
mirage7–160.027%23 Sept
vertigo16–50.1128%23 Sept
mirage16–19-0.0220%23 Sept
nuke16–100.0320%23 Sept
ancient16–50.0719%22 Sept
anubis16–6-0.0113%22 Sept
vertigo16–20.0829%22 Sept
mirage16–40.0629%21 Sept
inferno22–190.0317%21 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →