Daquarius marquell the third

Daquarius marquell the third — CS2 Stats

AF76561198216916367[U:1:256650639]Steam profile ↗✓ No bans

2,435Tracked matches62%Win rate2023Tracked since
4,049Hours in CS
CSDB Rating6.6 SolidPositional Player
Premier CS Rating14,199Blue band · top ~32.6% of ranked players (population est.)
FaceitLevel 5 · 797 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+49Premier CS Rating · 14,150 → 14,199

Rating over time

Premier CS Rating: 14,199 +1,241 30 Aug – 15 Nov · 34 days played
10,00014,199peak 14,19930 Aug15 Nov
Faceit ELO: 797 +0 30 Aug – 3 Sept · 3 observations
797797peak 79730 Aug3 Sept
14,518Peak Premier in tracked matches
797Highest Faceit ELO seen on CSDB
38Days played since 2026-08-30

Faceit ELO

  • At peak — 797
  • Next: Level 4 at 901 — 104 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-30
  • Level 2 first seen 2026-08-30

Premier CS Rating

  • At peak — 14,199
  • +1,499 over 30 days · improving
  • +1,241 over 90 days
  • Next: Purple band at 15,000 — 801 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. 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,631), 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 5 medianLevel 6 medianvs Level 6
Headshot rate68.1%43.8%44.8%above
Shot accuracy3.0%12.0%12.4%9.4% short
Kill/death ratio1.311.021.03above
Match win rate38.6%44.7%45.2%6.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDaquarius marquell the th…FACEITLevel 5 · 797 ELOSTANDINGTop 67.6% of rankedPREMIER14,199 · Blue bandPEAK ELO797csdb.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

Aim72
Positioning64
Utility56

0–100 skill scores via Leetify.

Recent form

HOT59–38–3Last 10059%Win rateLWLWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +46ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 658ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 659ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 636ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.2
Utility5.6
Positioning6.4
Opening Duels3.2
Clutch5.0

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Areas to improve

Reaction time. 640ms 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

Aim7.2
Positioning6.4
Utility5.6
Mechanics8.3
Opening Duels5.0
Win Impact9.0

Composite 6.6/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time645ms−9ms
first ⅓ avg 655ms → last ⅓ avg 645ms
Headshot accuracy20.7%−0.2%
first ⅓ avg 21.0% → 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

0.15Best match rating · 13–4 · ancient, 5 Oct →
40%Best headshot accuracy · 13–6 · nuke, 26 Oct →
438msFastest reaction time · 13–5 · vertigo, 22 Sept →
13–0Biggest win · dust2, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 100% over 6ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%0.03
mirageS2215–768%0.01
nukeA159–660%0.01
anubisC135–838%0.00
cacheS118–373%0.01
ancientD62–433%0.02
infernoS66–0100%-0.02
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

109,062Lifetime kills
1.31K/D · Top 10% of Level 5 players
3,910Matches
38.6%Match win rate
68.1%Headshot % · Top 5% of Level 5 players
3.0%Shot accuracy
6,171MVPs
4,049Hours (in match)
2,458Bombs planted
874Bombs defused

Most-used weapons

AK-4762,671
AWP3,169
MP92,030
FAMAS1,487
SSG 081,314

Lifetime map wins

9,450dust2
3,539nuke
3,237inferno
888train
339vertigo
114office
32italy
19cbble

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

Faceit stats

Combat

52Matches
58%Win rate
1.16Avg K/D
83.7ADR
48%Headshot %

Clutches & streaks

45%1v1 clutch win
30%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1573%1.2715.3
Dust2944%1.0315.9
Ancient862%1.2617.1
Cache743%1.4722.6
Nuke580%0.9216.4
Inferno367%0.9111.7
Anubis30%0.8614.3
Train250%0.8815.5

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.

21.2%Headshot accuracy
33.6%Accuracy (enemy spotted)
33.7%Spray accuracy
87.3%Counter-strafing
9.2°Preaim
640msReaction time
57.0%T opening success
42.9%CT opening success
0.51Enemies flashed / flash
5.9%Flash assists
9.93HE damage / grenade
16.30Flashes / match

Recommended for you

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0336%15 Nov →
mirage16–140.0418%15 Nov →
anubis13–16-0.0412%14 Nov →
nuke13–9-0.0327%14 Nov →
nuke13–60.0922%13 Nov →
anubis13–110.0824%11 Nov →
cache16–140.0217%9 Nov →
anubis13–9-0.057%9 Nov →
mirage3–13-0.0820%8 Nov →
anubis13–60.0822%7 Nov →
cache6–130.0016%1 Nov →
cache13–5-0.0320%30 Oct →
mirage11–130.0322%30 Oct →
anubis16–140.0119%29 Oct →
dust212–120.1118%27 Oct →
nuke13–6-0.0040%26 Oct →
nuke7–13-0.0330%26 Oct →
dust211–13-0.0616%25 Oct →
nuke16–130.0524%25 Oct →
mirage13–70.0022%25 Oct →
anubis7–13-0.0231%24 Oct →
mirage13–70.0316%24 Oct →
mirage13–11-0.0211%24 Oct →
dust29–130.0415%24 Oct →
dust213–100.1331%24 Oct →
cache2–13-0.0425%22 Oct →
nuke13–100.0023%22 Oct →
anubis2–13-0.0423%21 Oct →
dust213–10-0.0117%18 Oct →
cache13–60.0024%17 Oct →
ancient13–110.028%17 Oct →
dust210–13-0.0118%17 Oct →
ancient8–13-0.0310%15 Oct →
dust213–80.0817%15 Oct →
mirage13–10.038%14 Oct →
mirage13–100.0620%12 Oct →
cache13–6-0.0120%12 Oct →
anubis13–110.0015%12 Oct →
nuke16–120.0121%12 Oct →
mirage13–20.015%11 Oct →
mirage7–130.0112%10 Oct →
inferno16–13-0.0528%9 Oct →
mirage5–13-0.0315%9 Oct →
mirage13–60.0121%8 Oct →
dust216–120.0115%8 Oct →
cache13–100.0418%8 Oct →
cache13–16-0.0310%7 Oct →
dust28–13-0.0311%7 Oct →
cache13–30.0128%7 Oct →
ancient8–130.0114%6 Oct →
mirage8–130.0119%6 Oct →
anubis7–130.0015%6 Oct →
dust213–90.0717%5 Oct →
inferno13–8-0.0612%5 Oct →
dust213–20.0521%5 Oct →
nuke13–8-0.0224%5 Oct →
nuke7–13-0.0221%5 Oct →
ancient13–40.1515%5 Oct →
dust27–13-0.0618%4 Oct →
anubis0–130.0013%4 Oct →
dust25–130.0826%3 Oct →
nuke5–13-0.0510%3 Oct →
dust210–13-0.0119%3 Oct →
dust213–30.0023%3 Oct →
nuke13–9-0.0418%3 Oct →
nuke8–130.1325%3 Oct →
inferno13–20.0612%3 Oct →
inferno13–7-0.0715%3 Oct →
dust215–150.0313%3 Oct →
mirage5–13-0.0115%30 Sept →
ancient6–13-0.0322%27 Sept →
nuke15–150.0320%27 Sept →
cache13–70.0820%27 Sept →
mirage13–20.038%27 Sept →
ancient10–130.0015%27 Sept →
nuke4–13-0.0711%27 Sept →
mirage16–13-0.0221%27 Sept →
dust26–13-0.0325%27 Sept →
anubis6–13-0.0015%27 Sept →
dust210–13-0.0420%26 Sept →
nuke13–40.0410%26 Sept →
inferno13–70.0020%26 Sept →
inferno13–70.0128%26 Sept →
mirage13–90.0124%26 Sept →
dust213–110.0728%26 Sept →
anubis8–130.0116%26 Sept →
dust213–50.0530%26 Sept →
mirage16–13-0.0320%26 Sept →
dust213–100.0227%24 Sept →
mirage13–9-0.0434%22 Sept →
vertigo13–5-0.0118%22 Sept →
mirage11–130.0221%22 Sept →
dust213–60.0623%22 Sept →
mirage13–70.0536%22 Sept →
dust213–30.1231%21 Sept →
mirage13–40.1322%21 Sept →
dust211–130.0118%20 Sept →
dust213–00.0531%20 Sept →
cache13–60.0517%20 Sept →
anubis7–13-0.0321%19 Sept →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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