Sloth — CS2 Stats

76561198874247234[U:1:913981506]

426Tracked matches60%Win rate2023Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating14,594Blue band · top ~30.5% of ranked players (population est.)
CSDB Leaderboard#21934 of 34637 tracked
WingmanGold Nova II
Ladder ranks via Leetify

Share this profile

CSDB.GGSlothPREMIER14,594 · Blue 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

Aim69
Positioning55
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateLLWLLWWWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.9
Aggression6.9
Utility4.6
Positioning5.5
Opening Duels3.0

Strong CT-side opener

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 51% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim6.9
Positioning5.5
Utility4.6
Mechanics6.1
Opening Duels3.0
Win Impact8.3

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time614ms−54ms
first ⅓ avg 668ms → last ⅓ avg 614ms
Headshot accuracy14.9%+1.6%
first ⅓ avg 13.3% → last ⅓ avg 14.9%

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

0.24Best rating — train 5–0
132Biggest win — nuke
4Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 83% over 6dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC27111641%0.01
mirageS2114767%0.02
nukeB126650%0.02
dust2D102820%0.01
infernoA74357%-0.01
trainS65183%0.04
vertigoC52340%0.03
ancient42250%0.02
office32167%0.03
anubis32167%0.00
overpass21150%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 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.

14.0%Headshot accuracy
40.4%Accuracy (enemy spotted)
42.7%Spray accuracy
77.5%Counter-strafing
11.2°Preaim
611msReaction time
32.6%T opening success
51.2%CT opening success
0.42Enemies flashed / flash
4.4%Flash assists
9.79HE damage / grenade
7.24Flashes / 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 14.029% — 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 0.4202 — 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 32.6231% — below the 40% mark we flag

Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0117%29 Aug
nuke2–13-0.0418%29 Aug
mirage13–60.1117%29 Aug
dust211–130.0119%28 Aug
cache5–130.0412%26 Aug
cache13–40.0410%26 Aug
nuke13–8-0.0013%25 Aug
mirage13–80.0512%24 Aug
cache5–130.0412%24 Aug
nuke13–70.075%20 Aug
mirage13–50.0613%20 Aug
ancient13–70.0016%19 Aug
cache11–13-0.0120%14 Aug
cache10–13-0.019%13 Aug
train5–00.2433%13 Aug
train13–40.0212%12 Aug
inferno13–60.0112%12 Aug
mirage13–8-0.0210%11 Aug
dust214–160.0411%10 Aug
mirage13–100.0616%7 Aug
nuke13–60.1511%7 Aug
mirage13–50.0217%6 Aug
cache13–10-0.029%5 Aug
mirage5–13-0.0224%4 Aug
nuke13–80.0119%4 Aug
dust213–160.0210%3 Aug
cache8–130.0223%2 Aug
cache13–110.0311%1 Aug
vertigo13–60.1915%30 Jul
vertigo6–13-0.0115%30 Jul
vertigo10–130.0117%30 Jul
nuke13–16-0.0125%16 Jul
inferno13–100.0410%15 Jul
ancient5–130.0011%14 Jul
cache9–13-0.0710%14 Jul
mirage13–60.0619%13 Jul
nuke13–8-0.029%9 Jul
office13–90.1420%9 Jul
office13–100.0218%8 Jul
dust28–13-0.0911%2 Jul
cache9–13-0.0712%1 Jul
cache4–13-0.038%1 Jul
inferno5–13-0.0110%20 Jun
train13–11-0.044%17 Jun
train3–13-0.0115%17 Jun
train13–9-0.0510%17 Jun
anubis13–160.0111%12 Jun
inferno4–13-0.0314%11 Jun
mirage13–8-0.037%10 Jun
nuke13–20.1320%6 Jun
ancient13–40.0811%6 Jun
mirage13–60.0410%6 Jun
mirage5–13-0.039%5 Jun
nuke9–130.0024%5 Jun
vertigo13–70.0113%3 Jun
mirage13–110.0114%1 Jun
mirage7–13-0.0218%31 May
mirage13–90.0113%30 May
anubis13–30.020%27 May
nuke10–13-0.0220%26 May
dust215–150.0119%25 May
cache7–30.095%21 May
vertigo12–12-0.0415%20 May
cache10–130.0612%19 May
mirage12–120.0116%19 May
dust214–160.0414%19 May
mirage13–90.006%19 May
dust213–100.0115%18 May
nuke6–13-0.015%18 May
dust213–50.1112%13 May
office0–6-0.0714%13 May
mirage13–20.1317%11 May
overpass16–120.1113%10 May
nuke5–130.0416%9 May
inferno13–8-0.068%8 May
cache9–130.0112%7 May
inferno13–110.0212%7 May
mirage7–13-0.096%6 May
cache13–70.0312%6 May
cache13–10-0.0411%6 May
cache13–50.0120%4 May
cache13–110.0215%3 May
dust26–13-0.052%3 May
cache5–13-0.0713%2 May
mirage5–90.0219%2 May
cache1–13-0.0717%1 May
cache13–80.1116%1 May
cache11–130.0914%1 May
cache13–80.0219%30 Apr
cache6–100.0110%30 Apr
cache9–130.0219%29 Apr
cache13–4-0.0215%29 Apr
cache10–13-0.0711%29 Apr
overpass9–130.0117%28 Apr
anubis13–11-0.0211%27 Apr
inferno11–13-0.0320%24 Apr
dust28–130.0511%24 Apr
mirage13–100.0415%23 Apr
train13–60.0918%22 Apr
mirage11–13-0.057%22 Apr

Match data via Leetify.

Milestones

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