Marslle — CS2 Stats

76561198963347148[U:1:1003081420]

3,412Tracked matches34%Win rate2023Tracked since
CSDB Rating4.1 DevelopingHybrid Rifler
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim61
Positioning42
Utility41

0–100 skill scores via Leetify.

Recent form

COLD345610Last 10034%Win rateLLLWLLLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression4.8
Utility4.1
Positioning4.2
Opening Duels1.1
Clutch4.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.1
Positioning4.2
Utility4.1
Mechanics4.6
Opening Duels1.1
Win Impact0.0

Composite 4.1/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time601ms−53ms
first ⅓ avg 654ms → last ⅓ avg 601ms
Headshot accuracy14.0%−1.9%
first ⅓ avg 15.9% → last ⅓ avg 14.0%

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.

Highlights

0.22Best rating — mirage 12–12
130Biggest win — dust2
3Longest win streak
L3Current streak
63In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 60% over 5mirageWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoB2091145%0.03
dust2D1541127%0.01
nukeD103730%0.00
cacheC83538%-0.02
mirageD6060%0.04
infernoD61517%0.03
fachwerkC52340%-0.00
ancientA53260%0.05
officeD51420%0.02
trainC52340%0.01
overpass42250%0.01
anubis41325%0.03
italy31233%-0.00
boulder2020%0.01
shelter110100%-0.01
warden110100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

34Matches
59%Win rate
0.90Avg K/D
76.2ADR
51%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1060%0.8013.2
Vertigo580%0.7710.8
Anubis5100%1.4722.8
Dust2540%1.0111.4
Nuke425%0.7813.0
Ancient333%0.6210.0
Inferno250%0.598.5

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.

13.5%Headshot accuracy
39.4%Accuracy (enemy spotted)
44.2%Spray accuracy
70.8%Counter-strafing
12.3°Preaim
596msReaction time
33.1%T opening success
35.6%CT opening success
0.51Enemies flashed / flash
6.0%Flash assists
8.47HE damage / grenade
5.88Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3128° — above the 12° mark we flag

    Aim Training
  2. 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 13.453% — below the 15% mark we flag

    Aim Training
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0115%21 Aug
nuke9–13-0.027%21 Aug
nuke8–130.1313%20 Aug
vertigo13–5-0.0923%20 Aug
mirage6–13-0.0215%20 Aug
vertigo8–13-0.019%10 Aug
overpass11–130.008%9 Aug
fachwerk13–8-0.0017%9 Aug
dust24–130.0217%6 Aug
nuke1–13-0.1016%6 Aug
inferno11–130.0213%6 Aug
dust213–0-0.0120%6 Aug
cache8–13-0.0210%6 Aug
vertigo11–13-0.075%2 Aug
dust210–130.0620%26 Jul
dust20–100.0125%26 Jul
vertigo7–130.0112%24 Jul
anubis3–130.0129%24 Jul
nuke13–100.0211%24 Jul
fachwerk6–13-0.0417%24 Jul
inferno10–13-0.0317%24 Jul
italy13–4-0.058%21 Jul
fachwerk13–70.075%21 Jul
ancient13–110.0510%21 Jul
dust27–13-0.068%21 Jul
nuke12–120.0711%21 Jul
cache13–10-0.0117%21 Jul
overpass13–8-0.0113%20 Jul
office3–9-0.0723%20 Jul
anubis13–30.058%20 Jul
ancient7–130.0510%20 Jul
vertigo13–20.109%20 Jul
vertigo13–30.0722%20 Jul
ancient13–8-0.016%20 Jul
mirage12–120.2211%20 Jul
nuke8–13-0.038%20 Jul
inferno13–110.1522%18 Jul
dust26–13-0.0511%18 Jul
dust22–13-0.0213%10 Jul
dust24–13-0.038%10 Jul
mirage0–130.0018%10 Jul
office12–120.0216%10 Jul
overpass10–130.0510%10 Jul
dust27–130.0312%10 Jul
inferno12–12-0.0110%10 Jul
train13–11-0.037%10 Jul
fachwerk6–13-0.0219%9 Jul
boulder8–13-0.0019%9 Jul
shelter13–10-0.015%9 Jul
fachwerk10–13-0.026%9 Jul
boulder7–130.0221%9 Jul
vertigo0–130.0117%5 Jul
dust213–100.0821%5 Jul
dust28–130.038%5 Jul
office4–130.0113%5 Jul
cache5–130.0316%1 Jul
dust213–30.1110%1 Jul
mirage4–13-0.0514%1 Jul
vertigo13–70.0911%30 Jun
dust212–120.0627%29 Jun
office13–60.1316%29 Jun
ancient13–90.0711%29 Jun
nuke5–9-0.059%29 Jun
inferno8–80.0319%29 Jun
inferno6–9-0.0020%29 Jun
vertigo13–50.1123%29 Jun
overpass13–10.0146%29 Jun
nuke13–11-0.0115%29 Jun
anubis12–120.0619%29 Jun
cache4–13-0.1231%29 Jun
mirage9–130.0313%29 Jun
dust28–3-0.087%29 Jun
ancient5–130.0831%29 Jun
cache13–20.0316%29 Jun
vertigo7–13-0.0214%29 Jun
nuke13–70.024%29 Jun
vertigo13–110.1120%25 Jun
office4–13-0.027%25 Jun
vertigo13–40.1418%25 Jun
vertigo12–12-0.0213%25 Jun
vertigo12–12-0.0210%22 Jun
vertigo8–130.0714%22 Jun
italy9–130.038%22 Jun
vertigo9–130.0315%22 Jun
train5–130.0931%22 Jun
cache13–4-0.0423%22 Jun
train10–13-0.0226%22 Jun
warden13–30.0711%22 Jun
vertigo13–11-0.009%22 Jun
vertigo6–130.065%22 Jun
italy12–120.0117%22 Jun
vertigo7–13-0.0614%22 Jun
vertigo13–60.028%22 Jun
cache7–130.0225%21 Jun
dust25–130.0414%21 Jun
train4–130.0131%17 Jun
mirage5–130.0319%17 Jun
anubis4–13-0.009%17 Jun
cache9–13-0.0310%17 Jun
train13–100.0120%17 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →