DiabeticSloth11

DiabeticSloth11 — CS2 Stats

76561198877687238[U:1:917421510]Steam profile ↗✓ No bans

245Tracked matches52%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating12,524Blue band · top ~41.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−241Premier CS Rating · 12,765 → 12,524

Rating over time

Premier CS Rating: 12,524 +2,086 25 Sept – 16 Oct · 17 days played
9,33413,227peak 13,22725 Sept16 Oct
13,337Peak Premier in tracked matches
17Days played since 2026-09-25

Premier CS Rating

  • 703 below peak (13,227)
  • Next: Purple band at 15,000 — 2,476 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGDiabeticSloth11PREMIER12,524 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning68
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLLWWLWWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.1pp headshot accuracy · −13ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 553ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim7.6
Utility4.5
Positioning6.8
Opening Duels3.6

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6
Positioning6.8
Utility4.5
Mechanics6.3
Opening Duels5.1
Win Impact5.6

Composite 6.0/10 (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+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time547ms−34ms
first ⅓ avg 581ms → last ⅓ avg 547ms
Headshot accuracy14.1%+0.8%
first ⅓ avg 13.4% → last ⅓ avg 14.1%

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

0.17Best match rating · 6–3 · inferno, 12 Oct →
30%Best headshot accuracy · 6–3 · inferno, 12 Oct →
344msFastest reaction time · 0–8 · dust2, 1 Oct →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 60% over 10nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.02
dust2B199–1047%0.01
mirageB147–750%0.04
ancientB137–654%0.01
nukeC125–742%-0.00
cacheA106–460%0.02
anubisA95–456%0.00
vertigo—21–150%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke 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.

13.8%Headshot accuracy
40.4%Accuracy (enemy spotted)
37.8%Spray accuracy
78.2%Counter-strafing
9.4°Preaim
549msReaction time
42.9%T opening success
58.3%CT opening success
0.54Enemies flashed / flash
8.6%Flash assists
13.63HE damage / grenade
4.34Flashes / 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 13.8198% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.029%16 Oct →
dust211–130.0014%16 Oct →
nuke13–80.0322%16 Oct →
mirage13–70.1214%16 Oct →
nuke10–130.0310%16 Oct →
nuke13–100.0022%15 Oct →
inferno13–100.068%15 Oct →
dust27–130.0524%15 Oct →
nuke9–130.0620%15 Oct →
inferno13–110.0919%15 Oct →
ancient9–13-0.028%15 Oct →
inferno13–90.0510%15 Oct →
cache10–13-0.0715%15 Oct →
inferno16–130.0116%15 Oct →
anubis13–8-0.0014%15 Oct →
cache8–130.0723%15 Oct →
dust24–130.0114%14 Oct →
ancient7–13-0.058%14 Oct →
inferno13–110.0615%14 Oct →
ancient13–90.027%13 Oct →
ancient13–40.0913%13 Oct →
nuke2–13-0.096%12 Oct →
cache13–100.0110%12 Oct →
mirage13–100.054%12 Oct →
mirage8–130.026%12 Oct →
nuke13–80.0616%12 Oct →
anubis4–13-0.0316%12 Oct →
inferno6–30.1730%12 Oct →
mirage15–150.0614%12 Oct →
dust24–130.0214%12 Oct →
cache13–9-0.0020%11 Oct →
inferno13–6-0.0214%11 Oct →
ancient16–13-0.0012%11 Oct →
inferno5–13-0.0414%10 Oct →
mirage13–30.0823%10 Oct →
inferno15–150.0923%10 Oct →
dust216–120.1021%10 Oct →
mirage7–13-0.0115%10 Oct →
dust26–13-0.069%10 Oct →
cache13–9-0.0613%7 Oct →
inferno13–60.0517%6 Oct →
inferno11–13-0.0120%6 Oct →
cache13–90.026%6 Oct →
anubis3–13-0.0610%6 Oct →
inferno13–20.0714%6 Oct →
ancient14–16-0.0413%4 Oct →
nuke13–80.0115%4 Oct →
dust212–90.0220%4 Oct →
cache13–20.0916%4 Oct →
ancient13–70.0415%4 Oct →
inferno13–10-0.0311%4 Oct →
ancient13–40.0917%4 Oct →
ancient11–13-0.048%4 Oct →
nuke4–13-0.055%4 Oct →
anubis13–70.0310%4 Oct →
inferno13–50.0110%4 Oct →
nuke14–160.019%3 Oct →
dust213–70.0010%3 Oct →
ancient13–110.056%3 Oct →
dust216–12-0.018%3 Oct →
mirage13–10.1017%3 Oct →
inferno4–13-0.039%1 Oct →
dust20–8-0.0516%1 Oct →
inferno8–13-0.0413%1 Oct →
nuke11–13-0.0515%1 Oct →
inferno15–15-0.0413%30 Sept →
inferno13–80.0015%30 Sept →
inferno11–13-0.0515%30 Sept →
dust213–80.0321%30 Sept →
anubis8–130.0111%29 Sept →
dust213–70.0215%29 Sept →
nuke6–13-0.0615%29 Sept →
dust211–13-0.0718%29 Sept →
anubis13–70.0211%29 Sept →
dust26–13-0.0218%29 Sept →
cache13–100.0312%29 Sept →
dust213–80.0314%29 Sept →
mirage16–130.0610%29 Sept →
dust213–100.1116%29 Sept →
cache15–150.0313%27 Sept →
vertigo8–130.048%27 Sept →
vertigo13–20.067%27 Sept →
dust27–13-0.0212%26 Sept →
anubis16–130.0416%26 Sept →
mirage10–130.0815%26 Sept →
inferno7–13-0.0413%26 Sept →
mirage16–140.0824%25 Sept →
mirage4–130.0019%25 Sept →
anubis7–130.0311%25 Sept →
anubis13–10-0.0214%25 Sept →
mirage4–13-0.0414%25 Sept →
ancient3–13-0.027%25 Sept →
inferno14–16-0.0113%25 Sept →
nuke16–140.0311%25 Sept →
dust213–9-0.0011%25 Sept →
mirage9–13-0.048%25 Sept →
dust26–13-0.0316%25 Sept →
mirage13–100.039%25 Sept →
ancient13–40.048%25 Sept →
cache9–130.0414%25 Sept →

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 →

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