dyl4n — CS2 Stats

76561198085423249[U:1:125157521]✓ No bans

140Tracked matches58%Win rate2021Tracked since
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGdyl4nFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning56
Utility42

0–100 skill scores via Leetify.

Recent form

HOT50446Last 10050%Win rateWTLWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating

Player DNA

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

Aim8.4
Aggression10.0
Utility4.2
Positioning5.6
Opening Duels4.7
Clutch6.0

Excellent counter-strafingStrong 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

sh1ro

Plays most like sh1ro 89% playstyle similarity

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

Where you differ: 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

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 56% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim8.4
Positioning5.6
Utility4.2
Mechanics9.0
Opening Duels4.7
Win Impact7.6

Composite 6.8/10 (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 rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time661ms+47ms
first ⅓ avg 613ms → last ⅓ avg 661ms
Headshot accuracy26.4%+10.5%
first ⅓ avg 15.9% → last ⅓ avg 26.4%

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

0.15Best rating — inferno 9–0
162Biggest win — inferno
7Longest win streak
56In matches decided by ≤2 rounds
45Overtime games

Map breakdown

nukeBest map · 60% over 5ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB37191851%0.02
infernoB24121250%0.02
dust2C125742%0.02
ancientD92722%0.04
nukeA53260%0.02
anubis32167%0.03
overpass32167%-0.01
train330100%0.06
cache32167%0.03
debris1010%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
53%Win rate
1.27Avg K/D
89.6ADR
61%Headshot %

Clutches & streaks

50%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2520%0.6811.4
Nuke475%1.6922.5
Mirage367%1.2618.3
Anubis250%0.8413.0
Inferno250%2.1819.0
Ancient1100%1.5733.0

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.

26.0%Headshot accuracy
35.8%Accuracy (enemy spotted)
34.4%Spray accuracy
90.3%Counter-strafing
8.0°Preaim
648msReaction time
41.3%T opening success
56.4%CT opening success
0.37Enemies flashed / flash
3.8%Flash assists
6.82HE damage / grenade
7.53Flashes / 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 0.3745 — below the 0.5 mark we flag

    Grenade Lineups
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–60.0928%15 Aug
mirage12–120.0236%15 Aug
debris6–9-0.0927%14 Aug
inferno9–00.1543%14 Aug
mirage13–60.0223%22 Jul
anubis13–50.0030%22 Jul
inferno13–60.1128%20 Jul
dust213–110.0327%13 Jul
mirage16–130.0531%9 Jul
dust213–110.0222%6 Jul
mirage7–130.0127%6 Jul
dust24–13-0.0624%6 Jul
ancient10–130.1425%5 Jul
dust27–130.0932%4 Jul
dust27–130.0124%3 Jul
mirage13–30.0627%3 Jul
ancient9–13-0.0229%2 Jul
nuke15–150.0020%28 Jun
anubis12–160.0226%28 Jun
mirage16–130.0623%26 Jun
mirage13–80.1339%26 Jun
ancient6–130.0422%26 Jun
mirage10–13-0.0628%25 Jun
anubis13–30.0820%24 Jun
inferno13–10-0.0135%23 Jun
inferno13–10-0.0326%23 Jun
mirage8–13-0.0213%23 Jun
ancient15–150.0213%23 Jun
inferno13–80.0534%22 Jun
dust213–30.0115%15 Jun
mirage9–130.0428%14 Jun
inferno12–120.0926%14 Jun
inferno13–100.0222%13 Jun
ancient9–13-0.0315%13 Jun
nuke13–110.0729%13 Jun
ancient13–20.0818%13 Jun
nuke13–100.0229%11 Jun
ancient7–130.0627%11 Jun
ancient13–20.1127%8 Jun
mirage13–110.0733%7 Jun
inferno4–13-0.0223%7 Jun
nuke13–60.0941%7 Jun
dust29–130.0221%6 Jun
dust215–150.0733%5 Jun
mirage11–130.0126%31 Aug
mirage13–80.0038%31 Aug
ancient9–13-0.0141%31 Aug
mirage6–13-0.120%30 Aug
inferno7–13-0.0648%30 Aug
mirage4–13-0.0250%30 Aug
overpass7–13-0.0525%30 Jul
train13–90.0329%30 Jul
mirage11–130.0228%29 Jul
nuke2–9-0.0832%28 Jul
train13–70.0432%28 Jul
overpass13–10.0147%28 Jul
train13–80.1226%28 Jul
overpass13–9-0.0037%28 Jul
inferno13–60.1030%29 Jan
mirage10–60.0633%25 Dec
cache0–16-0.0619%31 Aug
mirage5–16-0.0023%26 Aug
inferno13–16-0.0412%21 Aug
cache16–140.0738%20 Aug
inferno10–16-0.0522%31 Jul
inferno14–16-0.0311%10 Jun
mirage16–13-0.0213%10 Jun
inferno6–16-0.1028%9 Jun
mirage14–16-0.0819%9 Jun
inferno16–30.0421%5 Jun
mirage6–16-0.0114%1 Jun
mirage11–16-0.0210%25 May
inferno16–40.0618%23 May
mirage16–9-0.0212%23 May
mirage1–11-0.0724%19 May
mirage16–130.0420%17 May
mirage7–16-0.0513%14 May
inferno16–120.0524%14 May
mirage16–90.0116%12 May
inferno16–20.038%11 May
mirage16–90.1019%11 May
mirage12–160.0420%10 May
inferno10–160.0316%9 May
mirage16–8-0.0017%9 May
mirage16–13-0.0111%7 May
inferno14–160.1118%6 May
mirage10–160.035%4 May
dust210–16-0.0412%4 May
mirage16–60.1317%3 May
mirage15–15-0.0014%2 May
mirage16–110.037%29 Apr
inferno14–160.0114%29 Apr
mirage16–120.0813%29 Apr
cache16–90.0818%27 Apr
dust26–160.0115%26 Apr
inferno10–16-0.0221%26 Apr
dust216–100.0423%25 Apr
inferno16–80.0214%25 Apr
inferno10–16-0.036%24 Apr
mirage16–80.0517%24 Apr

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →