marni

marni — CS2 Stats

76561198180722983[U:1:220457255]Steam profile ↗✓ No bans

1,308Tracked matches41%Win rate2020Tracked since
CSDB Rating7.1 StrongAll-Rounder
Premier CS Rating19,866Top 50% of 210,832 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#87871 of 257801 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,308 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,866 -15 9 Oct – 3 Oct · 21 days played
16,71322,192peak 22,1929 Oct3 Oct
22,192Peak Premier in tracked matches
35Days played since 2025-10-09

Premier CS Rating

  • 2,326 below peak (22,192)
  • +343 over 30 days · steady
  • +3,153 over 90 days
  • Next: Pink band at 20,000 — 134 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-03
  • Blue band first seen 2026-10-03

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

Share this profile

CSDB.GGmarniFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,866 · Purple bandcsdb.gg/stats

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Performance scores

Aim96
Positioning71
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLLWLLTWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −20.1pp headshot accuracy · −23ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 490ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 497ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 35%
  • Avg reaction 508ms

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.

Aim9.6
Utility5.2
Positioning7.1
Opening Duels6.8

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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim9.6
Positioning7.1
Utility5.2
Mechanics7.8
Opening Duels6.7
Win Impact2.1

Composite 7.1/10 (Strong), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time536ms−47ms
first ⅓ avg 582ms → last ⅓ avg 536ms
Headshot accuracy31.5%+7.4%
first ⅓ avg 24.1% → last ⅓ avg 31.5%

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 · 9–7 · inferno, 12 Jun →
65%Best headshot accuracy · 11–13 · cache, 6 Sept →
398msFastest reaction time · 13–8 · inferno, 6 Sept →
13–0Biggest win · nuke, 7 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 62% over 21mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2113–862%0.04
ancientB209–1145%0.03
nukeB147–750%0.03
cacheD124–833%0.02
overpassA116–555%0.01
mirageD103–730%0.01
dust2C73–443%0.01
anubis—42–250%0.02
train—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

32.0%Headshot accuracy
41.1%Accuracy (enemy spotted)
39.5%Spray accuracy
84.9%Counter-strafing
8.1°Preaim
526msReaction time
53.2%T opening success
60.0%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
9.61HE damage / grenade
6.48Flashes / match

Recommended for you

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–120.0136%12 Sept →
inferno1–13-0.0521%11 Sept →
cache10–130.0420%11 Sept →
mirage13–110.0519%8 Sept →
inferno7–130.0428%8 Sept →
ancient11–130.0324%8 Sept →
cache15–150.0729%8 Sept →
ancient11–10.0824%7 Sept →
nuke13–00.1033%7 Sept →
anubis11–130.0416%7 Sept →
cache8–130.0044%7 Sept →
inferno9–130.0353%6 Sept →
cache11–130.0065%6 Sept →
inferno13–70.1535%6 Sept →
ancient10–130.0031%6 Sept →
inferno13–80.1563%6 Sept →
ancient13–80.0633%6 Sept →
nuke13–20.1245%5 Sept →
dust27–13-0.0039%5 Sept →
mirage7–130.0643%5 Sept →
inferno6–130.0514%5 Sept →
cache13–8-0.0218%21 Jul →
ancient7–13-0.0313%21 Jul →
nuke13–40.0344%21 Jul →
cache13–9-0.0225%20 Jul →
inferno13–40.0120%20 Jul →
dust24–130.0746%21 Jun →
nuke5–13-0.0622%21 Jun →
ancient2–13-0.0226%21 Jun →
overpass6–13-0.0424%21 Jun →
inferno13–100.0021%21 Jun →
cache13–70.1333%13 Jun →
inferno13–110.0333%13 Jun →
ancient11–13-0.0032%13 Jun →
cache7–130.0846%12 Jun →
inferno9–70.1652%12 Jun →
cache12–120.0428%10 Jun →
ancient13–60.0033%26 May →
mirage7–130.0631%26 May →
nuke7–130.0715%26 May →
mirage13–80.0623%26 May →
ancient13–20.0824%20 May →
nuke8–130.0033%16 May →
overpass5–13-0.0315%16 May →
overpass13–60.0730%15 May →
cache13–100.0329%15 May →
overpass13–90.0528%14 May →
anubis13–60.0938%14 May →
cache6–13-0.0831%12 May →
mirage1–13-0.0336%12 May →
overpass5–13-0.0450%12 May →
ancient14–16-0.0118%11 May →
dust28–13-0.0231%11 May →
anubis5–13-0.0527%11 May →
nuke12–16-0.0629%11 May →
ancient13–10.0633%9 May →
inferno13–10-0.0235%9 May →
cache4–13-0.0510%9 May →
ancient13–110.0336%22 Mar →
nuke10–13-0.0327%22 Mar →
inferno13–10.0529%22 Mar →
ancient9–130.0425%22 Mar →
nuke10–130.0335%22 Mar →
inferno13–110.0022%12 Dec →
overpass5–13-0.0624%12 Dec →
overpass8–130.0531%12 Dec →
ancient13–40.0829%23 Nov →
inferno13–50.0524%22 Nov →
inferno13–40.0616%12 Nov →
ancient9–13-0.0626%12 Nov →
inferno10–13-0.0143%11 Nov →
train3–13-0.0326%11 Nov →
ancient7–130.0429%11 Nov →
inferno5–130.0426%11 Nov →
dust213–10-0.0216%6 Nov →
ancient13–90.0327%3 Nov →
inferno13–11-0.0022%2 Nov →
ancient13–100.0128%2 Nov →
nuke13–110.0520%2 Nov →
mirage10–13-0.0317%2 Nov →
ancient6–130.0820%2 Nov →
overpass13–4-0.028%1 Nov →
overpass13–100.0524%1 Nov →
mirage3–13-0.0417%31 Oct →
inferno13–70.0529%31 Oct →
nuke16–130.0118%31 Oct →
dust213–30.0131%16 Oct →
overpass13–20.0836%16 Oct →
dust213–70.0517%16 Oct →
mirage7–13-0.0315%16 Oct →
inferno10–13-0.0123%16 Oct →
overpass13–70.0423%16 Oct →
dust23–130.0116%16 Oct →
nuke13–10.1260%15 Oct →
ancient10–130.0129%14 Oct →
nuke13–7-0.0421%14 Oct →
mirage13–60.0227%14 Oct →
mirage11–13-0.0116%9 Oct →
nuke10–130.0420%9 Oct →
inferno7–130.0724%9 Oct →

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 →

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