Marleys Magier

Marleys Magier — CS2 Stats

DE76561199028950875[U:1:1068685147]Steam profile ↗✓ No bans

2,209Tracked matches54%Win rate2020Tracked since
2,383Hours in CS
CSDB Rating7.8 StrongPositional Player
Premier CS Rating25,000Top 25% of 212,133 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#21364 of 259120 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,000 +1,350 30 Jun – 31 Oct · 13 days played
23,14925,000peak 25,00030 Jun31 Oct
Faceit ELO: 2,457 +0 1 Sept – 3 Sept · 2 observations
2,4572,457peak 2,4571 Sept3 Sept
25,108Peak Premier in tracked matches
2,457Highest Faceit ELO seen on CSDB
40Days played since 2026-06-30

Premier CS Rating

  • At peak — 25,000
  • +331 over 30 days · steady
  • Next: Gold band at 30,000 — 5,000 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate46.1%49.3%50.9%4.9% short
Shot accuracy12.1%13.4%11.8%above
Kill/death ratio1.361.121.18above
Match win rate56.7%48.5%51.9%above

This profile matches the typical Gold band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMarleys MagierPREMIER25,000 · Red bandPEAK ELO2,457csdb.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

Aim91
Positioning71
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–35–11Last 10054%Win rateLWWWWTWWLL

Last 10 vs previous 10: +10pp win rate · +0.07 avg rating · −4.5pp headshot accuracy · +7ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.11
  • Avg headshot accuracy 17%
  • Avg reaction 478ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 486ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 483ms

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 (+1.3 against its own average).

Aim9.1
Utility6.0
Positioning7.1
Opening Duels6.0
Clutch4.0

Sharp aimer

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

m0NESY

Plays most like m0NESY 97% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

T openings. 63% 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

Aim9.1
Positioning7.1
Utility6.0
Mechanics6.6
Opening Duels7.4
Win Impact6.3

Composite 7.8/10 (Strong), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time500ms−73ms
first ⅓ avg 572ms → last ⅓ avg 500ms
Headshot accuracy22.3%−1.5%
first ⅓ avg 23.8% → last ⅓ avg 22.3%

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

0.21Best match rating · 9–2 · inferno, 31 Oct →
44%Best headshot accuracy · 12–12 · cache, 26 Jul →
375msFastest reaction time · 3–0 · anubis, 11 Sept →
13–0Biggest win · anubis, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 76% over 17dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB2111–1052%0.03
infernoS1713–476%0.05
anubisA138–562%0.06
ancientC114–736%0.05
nukeS107–370%0.07
dust2D93–633%0.03
trainC52–340%-0.01
mirage—41–325%-0.01
rush_001—42–250%-0.03
vertigo—31–233%0.01
office—21–150%0.05
overpass—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,445Lifetime kills
1.36K/D · Top 25% of Red band
5,450Matches
56.7%Match win rate · Top 10% of Red band
46.1%Headshot %
12.1%Shot accuracy
18,679MVPs
2,383Hours (in match)
5,959Bombs planted
2,074Bombs defused

Most-used weapons

AK-4751,808
AWP26,081
FAMAS1,967
MP91,923
Knife1,714

Lifetime map wins

18,543inferno
7,695dust2
6,175nuke
4,614vertigo
1,781train
1,322lake
306office
109italy

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

Faceit stats

Combat

1,485Matches
53%Win rate
1.14Avg K/D
80.5ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3675%1.2818.2
Ancient3253%1.1116.3
Mirage2941%1.0615.2
Anubis2748%1.0414.7
Vertigo1741%0.9114.9
Dust21747%0.9817.1
Nuke1275%1.3520.9
Overpass475%1.3020.8

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.

22.4%Headshot accuracy
41.8%Accuracy (enemy spotted)
44.5%Spray accuracy
79.9%Counter-strafing
9.8°Preaim
494msReaction time
63.0%T opening success
56.4%CT opening success
0.69Enemies flashed / flash
8.6%Flash assists
7.34HE damage / grenade
9.12Flashes / match

Recommended for you

Spend your practice time on Dust 2

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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–130.0818%31 Oct →
nuke16–140.0819%31 Oct →
inferno13–3-0.0019%31 Oct →
inferno9–20.2112%31 Oct →
office13–80.1615%28 Oct →
anubis15–150.0621%25 Oct →
cache13–10-0.0022%25 Oct →
cache13–40.1119%25 Oct →
cache5–13-0.0310%25 Oct →
ancient13–160.0322%25 Oct →
dust213–30.1526%25 Oct →
mirage10–13-0.0117%24 Oct →
anubis1–13-0.0429%18 Oct →
inferno13–11-0.0510%18 Oct →
ancient13–10-0.0138%18 Oct →
ancient13–60.0334%18 Oct →
inferno4–13-0.0412%18 Oct →
ancient6–130.0113%18 Oct →
anubis16–120.0227%18 Oct →
dust215–15-0.0416%12 Oct →
mirage7–130.0141%12 Oct →
rush_0015–8-0.0525%11 Oct →
rush_0018–60.0042%9 Oct →
train13–110.0627%9 Oct →
train11–130.0124%9 Oct →
train1–13-0.0920%9 Oct →
nuke13–40.0739%3 Oct →
rush_0018–50.0512%3 Oct →
rush_0016–8-0.1310%3 Oct →
ancient9–13-0.0124%2 Oct →
nuke15–150.0519%2 Oct →
dust26–13-0.0527%2 Oct →
vertigo13–11-0.0326%28 Sept →
vertigo12–120.0322%28 Sept →
anubis13–60.1421%21 Sept →
anubis13–70.0712%21 Sept →
inferno13–50.0325%11 Sept →
anubis3–00.1040%11 Sept →
nuke13–60.0525%4 Sept →
anubis13–00.2020%4 Sept →
cache7–130.0321%4 Sept →
cache8–20.0321%4 Sept →
ancient15–150.0427%4 Sept →
office6–13-0.0633%4 Sept →
inferno13–70.0116%29 Aug →
dust213–80.2123%29 Aug →
inferno13–00.0523%17 Aug →
dust213–10.0225%17 Aug →
inferno13–110.0724%16 Aug →
anubis7–130.0115%16 Aug →
train12–12-0.0232%7 Aug →
vertigo12–120.0217%7 Aug →
anubis2–13-0.0328%26 Jul →
cache12–120.0444%26 Jul →
cache13–60.0227%26 Jul →
anubis13–110.0425%25 Jul →
cache10–13-0.0224%25 Jul →
cache0–13-0.030%24 Jul →
cache6–130.0335%24 Jul →
cache13–50.0722%23 Jul →
cache11–130.0625%21 Jul →
nuke13–80.1224%20 Jul →
cache13–20.0017%20 Jul →
mirage13–100.0116%20 Jul →
nuke13–50.1527%20 Jul →
dust27–130.0024%20 Jul →
cache12–120.1026%19 Jul →
anubis13–80.0611%19 Jul →
cache5–130.0628%18 Jul →
nuke10–130.0014%18 Jul →
nuke8–130.0718%17 Jul →
inferno2–13-0.0338%17 Jul →
anubis6–130.0431%15 Jul →
cache13–60.0424%15 Jul →
cache5–13-0.0423%14 Jul →
anubis13–20.0932%14 Jul →
cache13–70.0317%14 Jul →
inferno0–5-0.070%14 Jul →
nuke13–110.1132%12 Jul →
dust212–12-0.0613%10 Jul →
ancient12–120.1433%9 Jul →
inferno13–20.0426%9 Jul →
dust210–13-0.0134%8 Jul →
inferno11–130.1323%7 Jul →
ancient13–00.1434%7 Jul →
dust28–130.0738%7 Jul →
cache13–80.0321%6 Jul →
cache8–110.0622%5 Jul →
ancient13–50.0622%4 Jul →
overpass13–30.0826%3 Jul →
inferno13–80.1327%3 Jul →
mirage11–13-0.0317%3 Jul →
nuke13–50.0120%2 Jul →
inferno13–50.1231%30 Jun →
inferno5–00.0821%30 Jun →
cache13–100.0422%30 Jun →
train13–100.0020%30 Jun →
inferno13–50.1429%30 Jun →
ancient9–130.0524%30 Jun →
inferno13–8-0.0015%30 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.