Marre

Marre — CS2 Stats

SE76561199155003348[U:1:1194737620]Steam profile ↗✓ No bans

142Tracked matches55%Win rate2025Tracked since
127Hours in CS
CSDB Rating3.0 LearningSupport
Premier CS Rating3,771Grey band · top ~84% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 4 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,771 -771 4 Jul21 Sept · 15 days played
3,1344,542peak 4,5424 Jul21 Sept
4,542Peak Premier in tracked matches
27Days played since 2026-07-04

Premier CS Rating

  • 771 below peak (4,542)
  • -771 over 90 days
  • Next: Light Blue band at 5,000 1,229 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,644), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate47.6%38.2%39.9%above
Shot accuracy0.0%3.6%6.9%6.9% short
Kill/death ratio0.810.830.920.10 short
Match win rate36.9%40.2%42.3%5.4% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGMarrePREMIER3,771 · Grey bandcsdb.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

Aim33
Positioning34
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43516Last 10043%Win rateWWLWTWLWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · +8ms 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

  • 311 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 613ms

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: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim3.3
Utility4.4
Positioning3.4
Opening Duels0.0

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

device

Plays most like device 69% 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. 648ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.3
Positioning3.4
Utility4.4
Mechanics2.4
Opening Duels0.0
Win Impact6.7

Composite 3.0/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time647ms−33ms
first ⅓ avg 680ms → last ⅓ avg 647ms
Headshot accuracy14.2%−2.1%
first ⅓ avg 16.3% → last ⅓ avg 14.2%

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

0.10Best match rating · 9–5 · vertigo, 23 Sept
35%Best headshot accuracy · 9–1 · overpass, 19 Sept
391msFastest reaction time · 13–11 · inferno, 20 Sept
13–2Biggest win · cache, 26 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
96In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 54% over 13ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%-0.03
anubisB179853%-0.02
ancientD1441029%-0.03
mirageD134931%-0.00
cacheB137654%-0.02
dust2B115645%-0.02
nukeC83538%-0.02
vertigo110100%0.10
overpass110100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,394Lifetime kills
0.81K/D
355Matches
36.9%Match win rate
47.6%Headshot % · Top 25% of Grey band
0.0%Shot accuracy
609MVPs
127Hours (in match)
457Bombs planted
39Bombs defused

Most-used weapons

Lifetime map wins

552inferno
506dust2
226nuke
28vertigo
19lake
2office
1ar_shoots
1ar_baggage

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

Skill profile

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

13.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
30.4%Spray accuracy
60.8%Counter-strafing
10.9°Preaim
648msReaction time
23.2%T opening success
19.8%CT opening success
0.46Enemies flashed / flash
0.2%Flash assists
5.34HE damage / grenade
9.84Flashes / 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 13.6956% — 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 0.4642 — 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 23.1511% — below the 40% mark we flag

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0111%23 Sept
inferno13–7-0.0924%23 Sept
mirage9–130.0617%23 Sept
vertigo9–50.1013%23 Sept
inferno15–150.0316%21 Sept
cache13–5-0.0415%21 Sept
anubis4–13-0.097%20 Sept
inferno13–11-0.0411%20 Sept
mirage4–13-0.0316%20 Sept
cache13–8-0.0017%20 Sept
dust213–11-0.0511%20 Sept
ancient10–13-0.029%20 Sept
ancient13–50.0514%19 Sept
inferno13–40.0214%19 Sept
overpass9–10.0835%19 Sept
cache4–70.0614%15 Sept
ancient13–6-0.0120%9 Sept
mirage14–160.0217%8 Sept
dust24–13-0.0322%8 Sept
inferno5–13-0.095%8 Sept
cache13–9-0.0212%8 Sept
cache9–13-0.0318%6 Sept
nuke13–9-0.058%6 Sept
inferno13–60.0316%6 Sept
dust213–70.0110%6 Sept
anubis13–30.0216%6 Sept
cache5–13-0.0421%6 Sept
mirage13–100.057%6 Sept
inferno8–8-0.0613%6 Sept
inferno0–9-0.297%25 Aug
dust210–130.0618%25 Aug
dust211–13-0.0011%9 Aug
anubis13–10-0.045%9 Aug
inferno7–13-0.0015%9 Aug
ancient3–13-0.0816%9 Aug
anubis11–130.029%8 Aug
cache13–10-0.0115%8 Aug
nuke13–9-0.0414%8 Aug
inferno5–13-0.0811%6 Aug
cache7–13-0.0418%6 Aug
anubis13–8-0.0521%6 Aug
dust29–13-0.0513%6 Aug
ancient13–70.0119%28 Jul
nuke12–120.0415%28 Jul
anubis13–6-0.0120%28 Jul
anubis12–12-0.0116%28 Jul
nuke3–13-0.025%28 Jul
dust213–7-0.0115%28 Jul
inferno8–13-0.0520%27 Jul
ancient4–13-0.0925%27 Jul
inferno13–11-0.0322%27 Jul
cache13–20.0211%26 Jul
anubis13–110.0211%26 Jul
nuke15–15-0.0817%26 Jul
inferno7–13-0.0713%26 Jul
anubis13–11-0.0418%26 Jul
nuke13–7-0.0319%24 Jul
inferno13–100.0723%24 Jul
anubis11–13-0.0713%24 Jul
anubis16–14-0.0613%23 Jul
mirage7–13-0.019%23 Jul
nuke5–130.0626%23 Jul
inferno6–13-0.0224%23 Jul
inferno8–13-0.067%22 Jul
anubis8–13-0.0416%22 Jul
ancient6–13-0.0624%22 Jul
mirage9–13-0.0216%19 Jul
dust213–5-0.034%19 Jul
inferno13–5-0.0115%19 Jul
anubis11–130.0024%19 Jul
cache7–13-0.1011%19 Jul
ancient13–4-0.048%19 Jul
cache11–13-0.0312%19 Jul
nuke3–130.0019%19 Jul
ancient5–13-0.0511%19 Jul
inferno7–13-0.0317%18 Jul
cache13–7-0.0121%17 Jul
ancient10–130.0421%17 Jul
ancient10–13-0.0615%13 Jul
mirage8–130.0111%13 Jul
mirage6–13-0.0117%12 Jul
dust216–130.0023%12 Jul
cache13–6-0.0416%12 Jul
anubis13–100.039%12 Jul
anubis13–100.0221%12 Jul
ancient8–13-0.0315%12 Jul
inferno7–13-0.0812%12 Jul
mirage13–11-0.0220%12 Jul
inferno9–70.0930%12 Jul
inferno15–15-0.0215%11 Jul
mirage10–130.0325%11 Jul
dust23–13-0.0227%11 Jul
mirage9–13-0.0522%11 Jul
dust28–13-0.1013%11 Jul
mirage13–4-0.038%11 Jul
ancient7–13-0.0718%9 Jul
inferno13–50.0124%9 Jul
anubis8–13-0.0118%9 Jul
anubis8–13-0.0213%5 Jul
ancient10–13-0.056%4 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 →