dryll — CS2 Stats

76561199841979097[U:1:1881713369]

312Tracked matches74%Win rate2025Tracked since
CSDB Rating9.1 EliteEntry Fragger
Premier CS Rating26,646Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#2001 of 37470 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGdryllPREMIER26,646 · Red bandcsdb.gg/stats

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Performance scores

Aim98
Positioning74
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY68266Last 10068%Win rateWLLTWLWWWL

Last 10 vs previous 10: -30pp win rate · +0.06 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim9.8
Aggression10.0
Utility6.1
Positioning7.4
Opening Duels8.6

Sharp aimerExcellent counter-strafing

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

m0NESY

Plays most like m0NESY 96% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

Counter-strafing. 97% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.8
Positioning7.4
Utility6.1
Mechanics10.0
Opening Duels8.6
Win Impact10.0

Composite 9.1/10 (Elite), 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 rating0.08+0.02
first ⅓ avg 0.06 → last ⅓ avg 0.08
Reaction time499ms−12ms
first ⅓ avg 511ms → last ⅓ avg 499ms
Headshot accuracy22.1%−0.0%
first ⅓ avg 22.1% → last ⅓ avg 22.1%

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

0.37Best rating — nuke 9–2
130Biggest win — overpass
12Longest win streak
710In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 58% over 19
MapGradePlayedRecordWin rateAvg rating
nukeS2013765%0.11
infernoA1911858%0.08
dust2S1712571%0.08
mirageS1510567%0.06
ancientS86275%0.07
trainS65183%0.08
vertigoS65183%0.09
rooftop32167%-0.03
anubis32167%0.08
overpass32167%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (58% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

22.9%Headshot accuracy
43.0%Accuracy (enemy spotted)
41.1%Spray accuracy
96.8%Counter-strafing
6.0°Preaim
486msReaction time
61.3%T opening success
67.4%CT opening success
0.65Enemies flashed / flash
9.5%Flash assists
9.74HE damage / grenade
6.75Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–10.014%18 Dec
inferno11–130.1316%18 Dec
inferno10–130.0026%18 Dec
nuke12–120.1321%18 Dec
inferno9–50.1026%18 Dec
dust211–130.1342%14 Dec
nuke13–30.0919%14 Dec
nuke9–20.3731%14 Dec
nuke9–10.2624%30 Nov
nuke11–130.0821%30 Nov
dust213–10.1231%30 Nov
dust213–110.0327%30 Nov
mirage13–4-0.0129%29 Nov
nuke13–100.1021%28 Nov
dust213–80.1323%28 Nov
dust213–90.0813%28 Nov
dust213–90.0427%28 Nov
dust212–120.1121%3 Nov
inferno10–130.0437%3 Nov
mirage13–70.0717%3 Nov
inferno9–50.0518%3 Nov
inferno8–80.1018%3 Nov
rooftop8–8-0.0314%1 Nov
inferno13–70.059%1 Nov
dust213–100.0841%1 Nov
anubis9–130.0321%31 Oct
nuke13–40.1024%31 Oct
train12–120.028%31 Oct
ancient13–90.1626%31 Oct
mirage0–5-0.090%31 Oct
ancient13–40.1817%31 Oct
inferno5–90.0138%31 Oct
ancient13–80.0220%30 Oct
train13–60.1243%30 Oct
rooftop9–7-0.1024%30 Oct
inferno5–90.0823%30 Oct
vertigo9–10.1521%30 Oct
train13–40.0313%30 Oct
inferno9–60.1323%30 Oct
nuke6–90.0719%27 Oct
dust213–90.0826%27 Oct
dust213–100.1026%27 Oct
train13–50.0126%27 Oct
nuke11–13-0.0328%27 Oct
nuke7–00.2215%27 Oct
ancient13–70.0917%26 Oct
train13–100.1427%26 Oct
nuke10–20.0627%26 Oct
ancient13–20.0932%26 Oct
inferno13–50.1230%26 Oct
vertigo11–13-0.0118%26 Oct
overpass5–5-0.0114%25 Oct
mirage13–30.1718%25 Oct
mirage13–20.0735%25 Oct
anubis13–80.1324%25 Oct
vertigo13–30.0715%25 Oct
inferno13–10.1523%25 Oct
overpass13–00.2330%25 Oct
vertigo13–60.0527%25 Oct
vertigo13–90.1019%24 Oct
vertigo13–30.1724%24 Oct
nuke13–30.1429%24 Oct
inferno9–40.2243%24 Oct
inferno2–90.0126%24 Oct
nuke9–00.2518%23 Oct
nuke11–130.1526%23 Oct
dust213–110.0821%21 Oct
anubis13–70.0923%21 Oct
dust211–130.0842%19 Oct
nuke9–30.2025%19 Oct
nuke9–40.2226%18 Oct
ancient8–13-0.0615%18 Oct
overpass11–130.0616%17 Oct
dust213–60.0324%17 Oct
inferno13–20.0919%17 Oct
mirage13–70.1615%17 Oct
mirage12–120.1017%17 Oct
mirage13–70.0817%17 Oct
train13–110.1622%17 Oct
mirage8–130.0430%16 Oct
dust29–130.1318%16 Oct
dust216–140.0422%13 Oct
ancient13–80.0144%12 Oct
mirage13–110.0821%11 Oct
mirage13–90.0716%11 Oct
nuke5–00.0433%11 Oct
mirage8–130.0122%11 Oct
mirage11–130.1417%8 Oct
mirage13–100.0729%7 Oct
dust213–70.1019%6 Oct
dust210–13-0.0224%6 Oct
nuke9–00.040%6 Oct
inferno9–6-0.0424%5 Oct
nuke5–9-0.0411%5 Oct
inferno6–130.0219%5 Oct
mirage13–8-0.0022%5 Oct
ancient11–130.0827%5 Oct
nuke0–3-0.300%4 Oct
inferno9–20.2642%4 Oct
rooftop9–30.0527%4 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches12-Win StreakAim 90+
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