Marenn_

Marenn_ — CS2 Stats

NO76561199583906632[U:1:1623640904]Steam profile ↗✓ No bans

851Tracked matches32%Win rate2025Tracked since
CSDB Rating1.6 LearningAll-Rounder
Premier CS Rating3,691Grey band · top ~84.3% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 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: 3,691 -338 21 Jul – 8 Oct · 29 days played
3,6915,553peak 5,55321 Jul8 Oct
5,558Peak Premier in tracked matches
37Days played since 2026-07-21

Premier CS Rating

  • 1,862 below peak (5,553)
  • -83 over 30 days · steady
  • -338 over 90 days
  • Next: Light Blue band at 5,000 — 1,309 to go
  • Reached: Light Blue band

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

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CSDB.GGMarenn_PREMIER3,691 · Grey bandcsdb.gg/stats

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Performance scores

Aim23
Positioning20
Utility18

0–100 skill scores via Leetify.

Recent form

COLD44–52–4Last 10044%Win rateLLLLWWWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · +131ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 747ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 741ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 675ms

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.

Aim2.3
Utility1.8
Positioning2.0
Opening Duels0.0

Limited utility dependence

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 83% 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

Areas to improve

Reaction time. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.3
Positioning2.0
Utility1.8
Mechanics3.0
Opening Duels0.0
Win Impact0.0

Composite 1.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.04
first ⅓ avg 0.00 → last ⅓ avg -0.04
Reaction time658ms−21ms
first ⅓ avg 679ms → last ⅓ avg 658ms
Headshot accuracy12.7%+0.3%
first ⅓ avg 12.4% → last ⅓ avg 12.7%

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

0.12Best match rating · 13–5 · nuke, 22 Jul →
50%Best headshot accuracy · 3–0 · cache, 16 Aug →
469msFastest reaction time · 13–3 · ancient, 30 Sept →
13–0Biggest win · dust2, 6 Aug →

Across the last 100 tracked matches.

Highlights

12Longest win streak
L4Current streak
3–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 56% over 16infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2411–1346%-0.03
nukeB2210–1245%-0.01
mirageA169–756%-0.00
ancientC146–843%-0.02
cacheC83–538%-0.01
infernoD62–433%-0.02
anubisC52–340%-0.01
vertigo—20–20%-0.07
office—21–150%-0.05
italy—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno 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.

12.7%Headshot accuracy
27.1%Accuracy (enemy spotted)
29.9%Spray accuracy
63.3%Counter-strafing
11.3°Preaim
654msReaction time
24.6%T opening success
21.5%CT opening success
0.46Enemies flashed / flash
1.0%Flash assists
5.74HE damage / grenade
1.55Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.711% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4568 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 24.5833% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0812%8 Oct →
dust20–7-0.050%8 Oct →
ancient4–13-0.0618%7 Oct →
italy8–13-0.0223%7 Oct →
nuke13–50.049%7 Oct →
nuke13–10.0024%7 Oct →
mirage13–110.038%6 Oct →
nuke9–13-0.134%5 Oct →
dust24–13-0.0819%5 Oct →
ancient5–13-0.0921%5 Oct →
nuke14–16-0.0314%5 Oct →
ancient13–9-0.0210%4 Oct →
dust27–13-0.0828%4 Oct →
nuke13–70.0314%4 Oct →
dust28–13-0.0711%3 Oct →
vertigo12–12-0.0413%3 Oct →
nuke9–13-0.0413%3 Oct →
nuke4–13-0.0913%3 Oct →
office13–8-0.094%3 Oct →
mirage5–13-0.1025%3 Oct →
nuke13–6-0.097%2 Oct →
dust213–4-0.077%1 Oct →
ancient13–3-0.0116%30 Sept →
anubis15–150.0515%30 Sept →
anubis6–13-0.066%30 Sept →
cache10–13-0.097%29 Sept →
mirage11–13-0.019%29 Sept →
mirage9–130.0213%29 Sept →
anubis8–13-0.079%29 Sept →
ancient7–13-0.1111%29 Sept →
inferno5–13-0.069%28 Sept →
mirage13–20.0914%28 Sept →
dust29–13-0.0316%27 Sept →
nuke13–7-0.0811%27 Sept →
cache11–13-0.0012%26 Sept →
anubis13–11-0.0114%26 Sept →
dust212–12-0.0810%26 Sept →
vertigo12–12-0.0913%26 Sept →
nuke11–130.0610%26 Sept →
mirage9–13-0.097%25 Sept →
mirage16–13-0.0711%24 Sept →
inferno13–7-0.0615%24 Sept →
nuke13–10-0.0211%20 Sept →
mirage6–13-0.067%14 Sept →
dust216–13-0.0212%14 Sept →
cache3–13-0.0413%13 Sept →
nuke8–13-0.0413%13 Sept →
mirage13–20.0510%13 Sept →
nuke13–70.0819%3 Sept →
nuke6–130.0212%3 Sept →
dust25–13-0.0819%27 Aug →
ancient10–13-0.0214%27 Aug →
dust26–13-0.0910%26 Aug →
dust24–13-0.1018%26 Aug →
dust210–13-0.0322%18 Aug →
dust213–16-0.058%18 Aug →
office9–13-0.013%16 Aug →
cache3–00.0750%16 Aug →
inferno13–9-0.026%16 Aug →
dust26–13-0.0610%14 Aug →
dust213–2-0.0116%14 Aug →
mirage13–90.0513%9 Aug →
nuke7–13-0.017%9 Aug →
cache9–20.0215%9 Aug →
ancient6–130.007%8 Aug →
nuke9–130.0812%8 Aug →
dust213–20.0110%8 Aug →
inferno4–13-0.0211%8 Aug →
inferno8–13-0.0015%8 Aug →
ancient8–13-0.0611%8 Aug →
ancient13–7-0.0823%7 Aug →
inferno10–130.0312%7 Aug →
mirage4–13-0.0316%7 Aug →
anubis13–30.025%7 Aug →
nuke11–13-0.115%7 Aug →
ancient7–13-0.0411%6 Aug →
ancient9–13-0.0215%6 Aug →
mirage13–30.0313%6 Aug →
dust213–00.019%6 Aug →
mirage6–13-0.0811%6 Aug →
nuke13–4-0.0118%6 Aug →
dust213–7-0.029%5 Aug →
nuke11–13-0.089%5 Aug →
cache7–13-0.0611%5 Aug →
dust25–13-0.0817%4 Aug →
mirage13–11-0.023%3 Aug →
dust213–3-0.0313%27 Jul →
cache8–130.0414%26 Jul →
ancient13–40.0817%26 Jul →
mirage13–60.0411%25 Jul →
dust213–40.0812%23 Jul →
dust213–80.0615%23 Jul →
nuke13–50.129%22 Jul →
dust213–80.0811%22 Jul →
mirage13–40.1012%22 Jul →
ancient16–120.0416%22 Jul →
ancient13–00.1021%21 Jul →
dust213–8-0.0414%21 Jul →
cache13–7-0.0514%21 Jul →
nuke13–10.059%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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