Sloth

Sloth — CS2 Stats

US76561198106790702[U:1:146524974]Steam profile ↗✓ No bans

616Tracked matches59%Win rate2020Tracked since
1,703Hours in CS3Hrs last 2 wks
CSDB Rating5.3 Developing
Premier CS Rating16,734Purple band · top ~21.5% of ranked players (population est.)
CSDB Leaderboard#26939 of 49850 tracked
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.2%44.2%47.1%4.9% short
Shot accuracy14.7%11.6%12.8%above
Kill/death ratio0.951.031.080.14 short
Match win rate43.0%45.2%46.6%3.6% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSlothPREMIER16,734 · Purple bandcsdb.gg/stats

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Performance scores

Aim58
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53443Last 10053%Win rateWLLLLWWWWW

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

Player DNA

Aim5.8
Aggression5.6
Utility4.8
Positioning4.6
Opening Duels1.8

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. 586ms 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

Aim5.8
Positioning4.6
Utility4.8
Mechanics6.3
Opening Duels1.8
Win Impact7.9

Composite 5.3/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time585ms−49ms
first ⅓ avg 634ms → last ⅓ avg 585ms
Headshot accuracy22.6%+0.7%
first ⅓ avg 21.9% → last ⅓ avg 22.6%

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

0.17Best rating — mirage 13–1
131Biggest win — ancient
7Longest win streak
610In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 15cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB33161748%0.01
dust2C167944%0.02
ancientS1510567%0.00
infernoA159660%-0.01
cacheC83538%0.00
nukeB63350%-0.02
anubis42250%0.01
shelter110100%-0.06
overpass110100%-0.01
train110100%-0.03

Across the last 100 tracked matches.

Lifetime stats

38,157Lifetime kills
0.95K/D
2,187Matches
43.0%Match win rate
42.2%Headshot %
14.7%Shot accuracy · Top 50% of Purple band
4,838MVPs
1,027Hours (in match)
2,371Bombs planted
636Bombs defused

Most-used weapons

AK-4710,418
AWP4,966
P901,631
P250839
Knife723

Lifetime map wins

3,020dust2
2,480inferno
1,018nuke
499train
397cbble
217vertigo
40office
21lake

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.

21.8%Headshot accuracy
28.1%Accuracy (enemy spotted)
27.3%Spray accuracy
78.4%Counter-strafing
9.3°Preaim
586msReaction time
31.4%T opening success
43.0%CT opening success
0.53Enemies flashed / flash
3.9%Flash assists
9.16HE damage / grenade
7.10Flashes / 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

    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 31.4208% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage16–140.0224%20 Aug
cache4–13-0.1024%18 Aug
ancient4–13-0.095%18 Aug
cache2–13-0.0520%18 Aug
cache8–130.0621%10 Aug
cache13–30.1055%9 Aug
ancient13–9-0.0615%6 Aug
ancient13–110.0524%29 Jul
cache13–90.0627%29 Jul
inferno13–6-0.0315%21 Jul
shelter13–3-0.0623%20 Jul
inferno13–9-0.048%20 Jul
dust28–130.0022%16 Jul
nuke13–60.0319%15 Jul
mirage12–10.0025%14 Jul
ancient6–10.0119%14 Jul
cache11–13-0.0819%14 Jul
mirage13–50.1021%14 Jul
ancient13–3-0.0220%6 Jul
ancient13–10.1119%6 Jul
ancient11–130.0428%4 Jul
inferno6–13-0.0541%4 Jul
mirage13–7-0.0517%2 Jul
dust211–13-0.0422%1 Jul
inferno13–90.0620%1 Jul
nuke14–16-0.0320%23 Jun
mirage13–90.0413%17 Jun
mirage0–7-0.1038%7 Jun
inferno7–130.0321%7 Jun
cache12–12-0.0321%5 May
cache13–100.0428%5 May
mirage14–160.0020%24 Apr
mirage10–130.0828%24 Apr
inferno13–9-0.0129%22 Apr
dust213–80.0123%22 Apr
ancient13–40.0216%16 Apr
mirage13–7-0.0136%9 Apr
dust213–70.0539%8 Apr
mirage5–7-0.0420%8 Apr
mirage7–13-0.0134%3 Apr
dust29–130.0523%26 Mar
inferno16–13-0.0024%26 Mar
anubis15–150.0228%24 Mar
mirage10–13-0.0913%23 Mar
inferno13–9-0.0413%23 Mar
dust213–50.1132%23 Mar
nuke4–13-0.0433%14 Mar
nuke6–2-0.0122%14 Mar
dust28–13-0.0321%13 Mar
ancient13–20.0029%13 Mar
mirage10–13-0.0026%13 Mar
mirage13–10.1741%5 Mar
inferno10–13-0.0128%5 Mar
dust213–10-0.0716%19 Feb
mirage13–6-0.0326%19 Feb
inferno13–10.0233%2 Feb
ancient13–7-0.0322%30 Jan
ancient13–11-0.0013%29 Jan
dust29–13-0.0520%28 Jan
nuke8–13-0.0426%28 Jan
inferno13–11-0.0215%28 Jan
ancient11–13-0.0621%28 Jan
mirage13–7-0.0329%28 Jan
mirage5–13-0.0326%27 Jan
mirage13–60.0733%27 Jan
mirage11–13-0.0227%21 Jan
mirage3–13-0.1132%20 Jan
inferno4–13-0.0521%20 Jan
dust24–13-0.0529%20 Jan
mirage13–9-0.0031%20 Jan
dust213–100.1025%22 Dec
mirage13–6-0.0128%22 Dec
inferno13–110.0422%11 Aug
mirage9–13-0.0416%11 Aug
mirage8–130.0232%2 Aug
ancient10–130.0821%2 Aug
mirage11–130.0024%1 Aug
mirage7–13-0.0825%1 Aug
overpass13–9-0.0118%1 Aug
dust213–90.0421%31 Jul
inferno11–13-0.0116%31 Jul
dust28–130.0116%26 Jun
mirage13–100.0542%11 Jun
mirage10–130.0722%11 Jun
inferno6–13-0.0611%10 Jun
dust26–13-0.0716%10 Jun
dust28–130.1226%9 Jun
ancient7–13-0.0110%9 Jun
anubis15–150.0218%9 Jun
anubis13–60.0313%9 Jun
mirage7–13-0.0019%9 Jun
mirage13–110.0514%8 Jun
ancient13–50.0223%8 Jun
anubis13–7-0.0330%7 Jun
mirage13–30.1225%7 Jun
train13–3-0.0320%7 Jun
mirage10–130.0219%6 Jun
dust213–90.1126%4 Jun
nuke13–9-0.0127%24 May
mirage8–20.1218%24 May

Match data via Leetify.

Recent teammates

Milestones

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