Mar1ey

Mar1ey — CS2 Stats

IE76561199567375175[U:1:1607109447]Steam profile ↗✓ No bans

190Tracked matches67%Win rate2025Tracked since
399Hours in CS9Hrs last 2 wks
CSDB Rating7.1 StrongClutch Specialist
Premier CS Rating21,796Pink band · top ~6.5% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGMar1eyPREMIER21,796 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning58
Utility54

0–100 skill scores via Leetify.

Recent form

HOT54–44–2Last 10054%Win rateLWWWWLLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +5.1pp headshot accuracy · +10ms 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 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 510ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 506ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 501ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim7.9
Utility5.4
Positioning5.8
Opening Duels4.3
Clutch7.2

Strong CT-side openerReliable in 1v1s

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 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.9
Positioning5.8
Utility5.4
Mechanics6.8
Opening Duels5.8
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time511ms−53ms
first ⅓ avg 564ms → last ⅓ avg 511ms
Headshot accuracy20.2%+1.4%
first ⅓ avg 18.9% → last ⅓ avg 20.2%

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 · 13–7 · cache, 12 Nov →
44%Best headshot accuracy · 13–8 · inferno, 16 Oct →
375msFastest reaction time · 4–13 · cache, 21 Oct →
13–0Biggest win · cache, 28 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%0.02
infernoA2313–1057%0.01
dust2A148–657%0.02
cacheS128–467%0.03
anubisC125–742%0.03
ancientD103–730%0.02
nukeC52–340%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,803Lifetime kills
1.13K/D
457Matches
52.7%Match win rate
52.0%Headshot %
0.0%Shot accuracy
1,005MVPs
192Hours (in match)
311Bombs planted
95Bombs defused

Most-used weapons

Lifetime map wins

888inferno
722dust2
471nuke
52train
45office
23vertigo

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

Faceit stats

Combat

30Matches
40%Win rate
1.50Avg K/D
96.5ADR
57%Headshot %

Clutches & streaks

56%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1030%1.3921.3
Nuke875%1.9120.8
Inferno838%1.4918.5
Dust220%1.0013.0
Overpass10%0.8815.0
Ancient10%1.1721.0

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.

19.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
33.8%Spray accuracy
80.4%Counter-strafing
8.5°Preaim
507msReaction time
51.1%T opening success
55.4%CT opening success
0.63Enemies flashed / flash
2.6%Flash assists
8.84HE damage / grenade
6.81Flashes / 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0218%14 Nov →
dust213–6-0.0239%14 Nov →
dust213–8-0.0334%14 Nov →
anubis13–110.0413%13 Nov →
dust213–50.0926%13 Nov →
ancient3–13-0.0119%13 Nov →
ancient10–13-0.0018%13 Nov →
mirage13–110.0110%12 Nov →
cache13–70.1535%12 Nov →
mirage13–80.0519%12 Nov →
dust27–13-0.0114%7 Nov →
mirage13–90.0619%7 Nov →
cache8–13-0.0419%7 Nov →
mirage6–4-0.0035%7 Nov →
inferno5–13-0.0912%7 Nov →
mirage16–120.0317%22 Oct →
inferno13–60.0219%22 Oct →
inferno13–30.0013%22 Oct →
inferno8–130.0418%22 Oct →
inferno13–90.0216%21 Oct →
anubis13–110.1316%21 Oct →
ancient13–20.0819%21 Oct →
mirage13–50.0824%21 Oct →
dust213–60.0420%21 Oct →
ancient13–9-0.0014%21 Oct →
ancient4–130.017%21 Oct →
inferno13–20.0218%21 Oct →
cache4–13-0.0317%21 Oct →
dust21–13-0.0343%21 Oct →
nuke13–40.0320%17 Oct →
cache13–50.0917%17 Oct →
inferno11–130.0523%17 Oct →
mirage11–13-0.0418%17 Oct →
ancient8–13-0.0216%16 Oct →
dust210–130.0620%16 Oct →
inferno15–150.1219%16 Oct →
mirage4–13-0.0130%16 Oct →
inferno13–80.1444%16 Oct →
dust29–13-0.0111%16 Oct →
nuke7–13-0.0612%2 Oct →
inferno1–13-0.0518%2 Oct →
anubis13–11-0.0024%2 Oct →
inferno13–110.0120%28 Sept →
cache13–70.0614%28 Sept →
mirage13–70.0316%28 Sept →
dust213–70.1021%28 Sept →
cache13–00.109%28 Sept →
mirage13–9-0.0115%28 Sept →
dust213–40.0018%26 Sept →
cache13–70.0817%26 Sept →
anubis7–130.0518%26 Sept →
mirage7–130.0024%16 Sept →
inferno15–15-0.0515%29 Aug →
ancient4–130.0923%29 Aug →
ancient5–13-0.0322%22 Aug →
dust213–100.0822%21 Aug →
dust213–110.0219%19 Aug →
mirage13–70.0830%17 Aug →
mirage9–13-0.0226%17 Aug →
mirage13–8-0.0215%17 Aug →
inferno13–110.0315%17 Aug →
dust24–13-0.0718%17 Aug →
mirage13–110.0225%16 Aug →
anubis13–100.0926%12 Aug →
nuke13–70.0532%10 Aug →
mirage13–80.0228%10 Aug →
inferno7–13-0.0019%8 Aug →
inferno13–4-0.0130%8 Aug →
dust25–130.0722%8 Aug →
inferno4–13-0.0521%4 Aug →
mirage13–20.1217%4 Aug →
inferno13–30.0222%4 Aug →
inferno13–60.0919%4 Aug →
cache13–80.0118%30 Jul →
anubis10–130.0517%29 Jul →
mirage11–13-0.0112%29 Jul →
mirage13–60.0617%29 Jul →
ancient13–6-0.0410%28 Jul →
inferno13–80.0214%28 Jul →
mirage10–130.0011%28 Jul →
mirage9–13-0.0123%27 Jul →
nuke7–130.0026%27 Jul →
anubis9–130.0310%27 Jul →
cache13–30.0826%27 Jul →
cache4–13-0.0913%26 Jul →
anubis5–13-0.0123%26 Jul →
cache13–50.0126%26 Jul →
ancient11–130.0914%26 Jul →
inferno6–13-0.017%26 Jul →
mirage13–80.0817%26 Jul →
mirage11–130.0313%26 Jul →
anubis7–13-0.0319%26 Jul →
mirage9–130.0315%26 Jul →
inferno13–00.0436%26 Jul →
inferno9–13-0.076%26 Jul →
nuke11–13-0.0416%26 Jul →
anubis0–13-0.0729%26 Jul →
inferno13–8-0.0217%26 Jul →
anubis13–60.1226%26 Jul →
anubis2–13-0.0328%25 Jul →

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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