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l0tuss

l0tuss — CS2 Stats

76561198822675057[U:1:862409329]Steam profile ↗

1,132Tracked matches61%Win rate2021Tracked since
CSDB Rating4.1 Developing
WingmanMaster Guardian II
Ladder ranks via Leetify

Performance scores

Aim31
Positioning34
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateWLLLWLWWWT

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim3.1
Aggression3.6
Utility5.0
Positioning3.4
Opening Duels0.3

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 70% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 694ms 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

Aim3.1
Positioning3.4
Utility5.0
Mechanics5.0
Opening Duels0.9
Win Impact8.6

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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time684ms+16ms
first ⅓ avg 668ms → last ⅓ avg 684ms
Headshot accuracy13.0%−1.1%
first ⅓ avg 14.1% → last ⅓ avg 13.0%

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

0.13Best rating — mirage 13–2
13–1Biggest win — dust2
5Longest win streak
8–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 48% over 25anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%-0.03
mirageB209–1145%-0.02
nukeC156–940%-0.03
ancientB136–746%-0.03
infernoC125–742%-0.02
anubisC83–538%-0.02
overpass—40–40%-0.06
train—20–20%-0.04
cache—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis 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.

13.2%Headshot accuracy
27.2%Accuracy (enemy spotted)
29.2%Spray accuracy
72.5%Counter-strafing
9.5°Preaim
694msReaction time
25.2%T opening success
36.9%CT opening success
0.65Enemies flashed / flash
5.5%Flash assists
12.14HE damage / grenade
4.56Flashes / 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 13.2342% — below the 15% mark we flag

    Aim Training →
  2. 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 25.1739% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0217%18 Jul →
mirage10–130.0112%14 Jul →
cache9–13-0.0413%14 Jul →
mirage1–11-0.076%14 Jul →
dust213–8-0.0411%15 Jun →
ancient10–13-0.0913%8 May →
ancient13–10-0.017%8 May →
dust213–5-0.0221%7 May →
nuke13–10-0.0414%1 May →
inferno15–15-0.0711%27 Apr →
mirage13–11-0.059%27 Apr →
nuke13–60.0213%27 Apr →
overpass11–13-0.0313%27 Apr →
mirage13–9-0.0117%21 Apr →
mirage13–3-0.0321%21 Apr →
nuke3–13-0.059%21 Apr →
dust216–14-0.0512%21 Apr →
dust25–13-0.0617%21 Apr →
dust213–1-0.0629%21 Apr →
anubis15–15-0.0616%21 Apr →
dust29–13-0.048%21 Apr →
mirage13–10-0.0612%21 Apr →
nuke9–13-0.0631%21 Apr →
ancient7–13-0.069%21 Apr →
mirage13–9-0.0213%17 Apr →
nuke13–5-0.019%17 Apr →
mirage13–10-0.038%14 Apr →
nuke9–13-0.0313%13 Apr →
dust213–1-0.046%13 Apr →
inferno13–10.0311%13 Apr →
nuke13–6-0.0010%13 Apr →
ancient10–13-0.068%13 Apr →
nuke9–13-0.0914%13 Apr →
overpass11–13-0.0915%13 Apr →
mirage13–20.1318%13 Apr →
dust213–7-0.0424%13 Apr →
mirage11–13-0.0611%10 Apr →
inferno11–13-0.0713%10 Apr →
dust27–13-0.0415%10 Apr →
mirage15–15-0.0618%10 Apr →
nuke6–13-0.058%10 Apr →
ancient16–13-0.0111%10 Apr →
mirage9–13-0.0120%10 Apr →
overpass15–15-0.0514%3 Apr →
ancient13–9-0.028%3 Apr →
mirage10–130.0117%3 Apr →
mirage13–16-0.073%2 Apr →
mirage8–13-0.0515%2 Apr →
inferno13–10-0.0212%27 Mar →
dust213–10-0.0518%27 Mar →
anubis13–70.0411%27 Mar →
dust210–130.0118%27 Mar →
anubis7–13-0.0414%20 Mar →
mirage13–10-0.0218%20 Mar →
anubis8–13-0.0313%20 Mar →
dust214–16-0.0314%19 Mar →
ancient5–13-0.0416%16 Mar →
inferno13–4-0.0015%16 Mar →
anubis6–13-0.0319%16 Mar →
ancient7–130.068%16 Mar →
mirage0–20.000%16 Mar →
ancient5–13-0.074%16 Mar →
dust25–13-0.0912%10 Mar →
inferno8–13-0.0412%10 Mar →
dust28–13-0.0315%10 Mar →
ancient13–7-0.026%10 Mar →
train7–13-0.018%2 Mar →
dust215–15-0.0020%24 Feb →
dust213–90.0118%24 Feb →
inferno8–130.0112%24 Feb →
anubis9–13-0.019%24 Feb →
dust213–11-0.0316%24 Feb →
mirage8–13-0.047%24 Feb →
dust213–11-0.0218%24 Feb →
anubis13–11-0.014%24 Feb →
ancient13–90.0320%23 Feb →
nuke13–8-0.0017%23 Feb →
inferno13–80.0215%23 Feb →
dust28–13-0.096%20 Feb →
mirage13–7-0.0315%20 Feb →
inferno9–50.0330%20 Feb →
dust216–14-0.0312%16 Feb →
ancient11–13-0.0219%15 Feb →
nuke7–13-0.1218%14 Feb →
ancient13–11-0.0110%12 Feb →
nuke15–15-0.0413%29 Jan →
dust24–13-0.0210%29 Jan →
nuke12–120.028%28 Jan →
mirage12–120.0316%28 Jan →
nuke11–130.0212%28 Jan →
dust28–13-0.009%28 Jan →
dust25–13-0.0228%28 Jan →
inferno8–13-0.0915%17 Jan →
inferno6–13-0.0414%17 Jan →
dust27–13-0.0512%17 Jan →
train4–13-0.0617%17 Jan →
nuke13–60.0111%10 Jan →
dust213–40.0419%10 Jan →
inferno15–15-0.044%8 Jan →
overpass10–13-0.0615%8 Jan →

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 →

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