Dragonborn

Dragonborn — CS2 Stats

DE76561198133502812[U:1:173237084]Steam profile ↗✓ No bans

725Tracked matches53%Win rate2020Tracked since
2,328Hours in CS
CSDB Rating6.1 SolidSupport
Premier CS Rating19,743Top 50% of 211,827 CSDB-tracked playersPurple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#89357 of 258787 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 725 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,743 -2,892 27 Oct – 2 Sept · 19 days played
19,48126,515peak 26,51527 Oct2 Sept
26,791Peak Premier in tracked matches
22Days played since 2025-10-27

Premier CS Rating

  • 6,772 below peak (26,515)
  • Next: Pink band at 20,000 — 257 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate46.1%45.7%46.8%meets
Shot accuracy18.3%12.7%13.0%above
Kill/death ratio1.161.051.06above
Match win rate46.0%45.7%46.3%meets

Across every metric we can compare, this profile already matches the typical Level 8 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGDragonbornFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,743 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66
Positioning55
Utility70

0–100 skill scores via Leetify.

Recent form

COLD52–48Last 10052%Win rateWLLLLWWLLL

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · −3.5pp headshot accuracy · −57ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 611ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim6.6
Utility7.0
Positioning5.5
Opening Duels4.4

Effective flashes

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim6.6
Positioning5.5
Utility7.0
Mechanics7.0
Opening Duels2.9
Win Impact6.1

Composite 6.1/10 (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 rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time659ms+9ms
first ⅓ avg 649ms → last ⅓ avg 659ms
Headshot accuracy23.4%−2.2%
first ⅓ avg 25.6% → last ⅓ avg 23.4%

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.

Personal bests

0.15Best match rating · 13–2 · dust2, 12 Nov →
56%Best headshot accuracy · 4–13 · ancient, 21 Nov →
453msFastest reaction time · 6–13 · anubis, 25 Apr →
13–2Biggest win · train, 12 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 80% over 15mirageWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%0.01
dust2S2215–768%0.00
mirageD195–1426%-0.00
overpassS1512–380%0.03
nukeD93–633%0.02
ancientC73–443%-0.03
train—33–0100%0.00
anubis—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (26% over 19). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,859Lifetime kills
1.16K/D · Top 50% of Level 7 players
4,687Matches
46.0%Match win rate · Top 50% of Level 7 players
46.1%Headshot % · Top 50% of Level 7 players
18.3%Shot accuracy · Top 10% of Level 7 players
14,986MVPs
2,328Hours (in match)
3,842Bombs planted
1,369Bombs defused

Most-used weapons

AK-4739,527
AWP17,888
P2503,045
Tec-92,137
Knife1,686
FAMAS1,485

Lifetime map wins

18,797dust2
6,193inferno
1,856nuke
1,784train
851cbble
344vertigo
130office
124italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

520Matches
52%Win rate
1.17Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

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.

23.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.5%Spray accuracy
81.4%Counter-strafing
11.7°Preaim
646msReaction time
33.3%T opening success
49.6%CT opening success
0.80Enemies flashed / flash
9.1%Flash assists
9.23HE damage / grenade
11.91Flashes / 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 33.285% — below the 40% mark we flag

Spend your practice time on Mirage

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

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0224%26 Apr →
inferno10–13-0.0517%26 Apr →
inferno9–13-0.0424%25 Apr →
mirage6–13-0.0113%25 Apr →
anubis6–13-0.0122%25 Apr →
dust213–30.0632%25 Apr →
inferno16–140.0522%25 Apr →
inferno7–13-0.0421%25 Apr →
mirage9–130.0024%25 Apr →
dust23–13-0.0713%25 Apr →
inferno8–13-0.0122%24 Apr →
overpass16–14-0.0517%24 Apr →
dust213–11-0.0342%24 Apr →
dust213–7-0.0322%24 Apr →
dust213–7-0.0414%24 Apr →
inferno6–13-0.0326%23 Apr →
overpass13–3-0.0225%23 Apr →
overpass13–100.0325%23 Apr →
dust213–11-0.0320%22 Apr →
dust25–130.0733%22 Apr →
dust213–8-0.0221%22 Apr →
inferno13–50.0121%22 Apr →
nuke8–130.0219%22 Apr →
overpass13–30.0245%22 Apr →
mirage7–130.0421%22 Apr →
dust213–3-0.0118%21 Apr →
mirage13–100.0323%21 Apr →
inferno5–13-0.0420%21 Apr →
dust213–90.0731%21 Apr →
nuke10–13-0.0223%21 Apr →
mirage9–13-0.0522%21 Apr →
mirage13–6-0.0325%20 Apr →
inferno11–13-0.0122%16 Apr →
inferno13–4-0.0422%16 Apr →
inferno9–13-0.0326%16 Apr →
mirage13–16-0.0412%16 Apr →
mirage14–16-0.0128%16 Apr →
mirage3–90.0217%16 Apr →
dust28–13-0.0139%10 Apr →
inferno10–90.0221%10 Apr →
dust213–110.0323%10 Apr →
inferno13–11-0.0227%10 Apr →
dust216–130.0221%10 Apr →
inferno16–140.0426%19 Jan →
dust22–13-0.0626%21 Nov →
overpass13–80.0825%21 Nov →
ancient4–13-0.1056%21 Nov →
nuke13–80.0829%21 Nov →
mirage16–13-0.0434%20 Nov →
nuke13–7-0.0321%20 Nov →
overpass13–60.1223%19 Nov →
overpass13–70.0328%18 Nov →
dust213–8-0.0134%18 Nov →
inferno4–13-0.0217%18 Nov →
inferno13–11-0.0015%18 Nov →
ancient13–11-0.0113%18 Nov →
mirage13–8-0.0116%18 Nov →
overpass5–130.0521%18 Nov →
dust24–13-0.0417%18 Nov →
nuke10–13-0.0051%18 Nov →
train13–40.0243%18 Nov →
inferno13–30.019%18 Nov →
mirage10–130.0233%18 Nov →
overpass13–6-0.0313%17 Nov →
nuke6–130.0016%17 Nov →
mirage6–130.0113%17 Nov →
nuke2–13-0.0137%17 Nov →
mirage9–130.0426%17 Nov →
inferno1–13-0.0550%16 Nov →
mirage6–130.0529%16 Nov →
overpass10–130.029%16 Nov →
overpass11–130.0416%16 Nov →
dust213–11-0.0130%16 Nov →
inferno13–30.0724%16 Nov →
overpass13–110.0416%16 Nov →
mirage9–130.0230%16 Nov →
dust211–20.0423%16 Nov →
inferno13–80.0929%16 Nov →
nuke13–30.0928%16 Nov →
dust213–30.0224%16 Nov →
mirage6–13-0.0129%16 Nov →
inferno14–160.1430%15 Nov →
overpass13–4-0.0114%15 Nov →
ancient9–3-0.0117%15 Nov →
nuke9–130.0430%14 Nov →
train13–11-0.0427%14 Nov →
dust24–13-0.0813%14 Nov →
ancient11–13-0.0118%14 Nov →
ancient2–13-0.0515%14 Nov →
mirage5–13-0.0325%14 Nov →
inferno13–100.0313%14 Nov →
dust210–130.0046%13 Nov →
ancient5–13-0.0428%13 Nov →
mirage13–10-0.0329%13 Nov →
inferno8–130.0422%13 Nov →
train13–20.0242%12 Nov →
dust213–20.1548%12 Nov →
ancient13–7-0.0122%12 Nov →
overpass13–90.0517%29 Oct →
overpass13–60.1127%27 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.