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Dragonmaid

Dragonmaid — CS2 Stats

76561199734197915[U:1:1773932187]Steam profile ↗✓ No bans

373Tracked matches57%Win rate2026Tracked since
CSDB Rating6.0 SolidAll-Rounder
Premier CS Rating11,831Blue band · top ~45.2% of ranked players (population est.)
CSDB Leaderboard#177114 of 261537 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+356Premier CS Rating · 11,475 → 11,831

Rating over time

Premier CS Rating: 11,831 +418 20 Aug – 14 Nov · 32 days played
11,32412,925peak 12,92520 Aug14 Nov
12,925Peak Premier in tracked matches
40Days played since 2026-08-20

Premier CS Rating

  • 1,094 below peak (12,925)
  • -527 over 30 days · declining
  • +418 over 90 days
  • Next: Purple band at 15,000 — 3,169 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGDragonmaidPREMIER11,831 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWLWWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +0.3pp headshot accuracy · +33ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 639ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 680ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 664ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility4.7
Positioning5.4
Opening Duels5.1

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 72% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 658ms 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

Aim6.4
Positioning5.4
Utility4.7
Mechanics7.3
Opening Duels7.9
Win Impact7.2

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time661ms+13ms
first ⅓ avg 648ms → last ⅓ avg 661ms
Headshot accuracy20.7%+2.1%
first ⅓ avg 18.6% → last ⅓ avg 20.7%

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

0.16Best match rating · 13–3 · anubis, 18 Sept →
45%Best headshot accuracy · 6–13 · ancient, 14 Sept →
438msFastest reaction time · 4–6 · nuke, 20 Sept →
13–2Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
3–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 14cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2516–964%0.03
mirageC208–1240%0.01
infernoS1410–471%0.03
nukeC146–843%-0.00
anubisS96–367%0.03
ancientC94–544%0.00
cacheD92–722%0.02

Across the last 100 tracked matches.

Skill profile

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

21.1%Headshot accuracy
34.1%Accuracy (enemy spotted)
33.3%Spray accuracy
82.9%Counter-strafing
10.2°Preaim
658msReaction time
72.1%T opening success
53.0%CT opening success
0.58Enemies flashed / flash
3.5%Flash assists
14.03HE damage / grenade
5.48Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–4-0.0220%14 Nov →
dust213–100.1126%14 Nov →
anubis6–13-0.0122%13 Nov →
anubis13–40.1010%13 Nov →
anubis13–80.0418%13 Nov →
mirage13–40.0515%6 Nov →
mirage13–60.1115%6 Nov →
dust211–30.0723%6 Nov →
dust213–4-0.0419%30 Oct →
dust213–70.0723%30 Oct →
mirage13–90.0718%30 Oct →
ancient0–6-0.0531%30 Oct →
mirage0–13-0.0220%30 Oct →
inferno4–130.0913%29 Oct →
inferno13–100.0233%24 Oct →
mirage13–16-0.0113%24 Oct →
cache9–13-0.027%24 Oct →
dust26–13-0.0519%17 Oct →
mirage13–100.0717%15 Oct →
ancient13–100.0219%15 Oct →
nuke8–13-0.0338%14 Oct →
cache13–90.0331%12 Oct →
inferno13–20.0611%9 Oct →
inferno11–130.0032%8 Oct →
dust21–110.0223%7 Oct →
dust29–130.0017%7 Oct →
inferno13–70.0913%6 Oct →
dust29–130.0122%1 Oct →
dust216–14-0.0129%30 Sept →
dust210–130.0332%30 Sept →
dust210–1-0.0312%30 Sept →
dust212–120.0219%27 Sept →
cache11–130.0326%27 Sept →
dust213–20.0619%27 Sept →
ancient13–20.0127%27 Sept →
inferno16–14-0.0225%26 Sept →
ancient16–12-0.0318%25 Sept →
ancient6–130.017%23 Sept →
nuke13–5-0.007%23 Sept →
mirage9–130.0716%23 Sept →
cache12–160.0134%22 Sept →
nuke13–9-0.0524%21 Sept →
inferno13–70.1119%21 Sept →
cache13–90.0015%21 Sept →
dust213–90.0124%21 Sept →
inferno10–130.0741%21 Sept →
dust211–130.0219%20 Sept →
nuke13–5-0.0115%20 Sept →
nuke4–60.1224%20 Sept →
mirage13–110.0719%19 Sept →
nuke13–3-0.0428%19 Sept →
mirage6–130.0319%19 Sept →
anubis13–60.0621%18 Sept →
anubis13–30.1631%18 Sept →
inferno4–13-0.0427%18 Sept →
dust213–80.0117%15 Sept →
inferno13–60.0020%14 Sept →
anubis8–13-0.0821%14 Sept →
inferno13–70.0827%14 Sept →
cache8–130.0120%14 Sept →
nuke6–13-0.0226%14 Sept →
inferno13–70.0517%14 Sept →
cache9–130.0430%14 Sept →
ancient6–13-0.0245%14 Sept →
ancient13–90.0518%14 Sept →
ancient10–13-0.0519%14 Sept →
mirage0–9-0.1125%13 Sept →
mirage8–13-0.0114%13 Sept →
dust213–30.1227%12 Sept →
dust213–90.0732%12 Sept →
dust27–130.0821%12 Sept →
mirage1–13-0.0415%12 Sept →
mirage5–13-0.029%10 Sept →
mirage14–160.0017%9 Sept →
mirage13–20.0121%9 Sept →
anubis5–13-0.049%9 Sept →
nuke13–160.0337%9 Sept →
nuke13–8-0.0421%8 Sept →
inferno13–5-0.0329%8 Sept →
nuke9–130.0122%8 Sept →
dust29–130.0117%6 Sept →
mirage7–13-0.0318%6 Sept →
dust213–80.0319%5 Sept →
mirage12–12-0.0319%5 Sept →
inferno13–9-0.0417%5 Sept →
mirage13–30.0421%5 Sept →
mirage13–10-0.0315%5 Sept →
anubis13–50.0415%28 Aug →
cache9–130.1121%28 Aug →
ancient12–160.0519%28 Aug →
dust213–80.0120%28 Aug →
nuke6–13-0.059%28 Aug →
cache7–13-0.0012%24 Aug →
nuke15–150.0110%23 Aug →
dust213–40.0429%22 Aug →
dust213–7-0.0015%22 Aug →
anubis13–100.0216%22 Aug →
nuke11–13-0.0222%22 Aug →
nuke13–100.0311%21 Aug →
mirage9–13-0.0415%20 Aug →

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 →

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